Winnipeg Jets | |
GP: 22 | W: 15 | L: 7 GF: 75 | GA: 58 | PP%: 34.15% | PK%: 84.21% GM : Jose Simoes (Mar 2023) | Morale : 99 | Team Overall : 67 Next Games #216 vs Boston Bruins |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nick Suzuki | X | 100.00 | 67 | 52 | 87 | 88 | 74 | 87 | 99 | 89 | 84 | 54 | 52 | 76 | 80 | 65 | 67 | 82 | 90 | 70 | 0 | 24 | 4 | 7,800,000$ | ||||
2 | Alex Killorn | X | X | 100.00 | 69 | 53 | 84 | 84 | 73 | 76 | 99 | 76 | 44 | 54 | 52 | 80 | 61 | 80 | 87 | 82 | 82 | 69 | 0 | 34 | 2 | 4,500,000$ | |||
3 | Jonathan Toews | X | 100.00 | 59 | 52 | 77 | 80 | 75 | 77 | 79 | 83 | 99 | 51 | 50 | 76 | 48 | 88 | 95 | 77 | 83 | 68 | 0 | 36 | 1 | 10,500,000$ | ||||
4 | Clayton Keller | X | X | 100.00 | 59 | 50 | 82 | 89 | 62 | 85 | 92 | 88 | 37 | 56 | 56 | 72 | 38 | 71 | 71 | 84 | 98 | 68 | 0 | 25 | 1 | 7,100,000$ | |||
5 | Vladimir Tarasenko | X | 100.00 | 76 | 44 | 95 | 90 | 80 | 75 | 89 | 77 | 25 | 54 | 50 | 64 | 61 | 74 | 78 | 78 | 84 | 67 | 0 | 32 | 1 | 7,500,000$ | ||||
6 | Jonathan Huberdeau | X | X | 100.00 | 71 | 43 | 86 | 86 | 74 | 75 | 97 | 80 | 34 | 55 | 48 | 62 | 66 | 77 | 79 | 74 | 96 | 66 | 0 | 30 | 1 | 5,900,000$ | |||
7 | Yakov Trenin | X | X | 100.00 | 87 | 56 | 83 | 76 | 75 | 69 | 96 | 63 | 37 | 49 | 48 | 84 | 25 | 64 | 65 | 73 | 93 | 65 | 0 | 27 | 2 | 800,000$ | |||
8 | Derek Ryan | X | X | 100.00 | 69 | 42 | 89 | 77 | 66 | 59 | 95 | 62 | 68 | 47 | 48 | 80 | 63 | 71 | 72 | 71 | 90 | 63 | 0 | 37 | 2 | 1,500,000$ | |||
9 | Pius Suter | X | X | 100.00 | 65 | 41 | 97 | 80 | 64 | 67 | 98 | 60 | 65 | 48 | 48 | 77 | 75 | 63 | 63 | 71 | 92 | 63 | 0 | 27 | 1 | 1,000,000$ | |||
10 | Yegor Sharangovich | X | X | X | 100.00 | 61 | 41 | 92 | 81 | 73 | 68 | 93 | 58 | 38 | 50 | 48 | 77 | 75 | 63 | 63 | 72 | 98 | 63 | 0 | 25 | 1 | 1,000,000$ | ||
11 | Ryan Donato | X | X | 100.00 | 75 | 57 | 81 | 83 | 70 | 59 | 89 | 64 | 46 | 49 | 49 | 68 | 61 | 66 | 66 | 71 | 98 | 62 | 0 | 28 | 1 | 1,000,000$ | |||
12 | Aleksi Heponiemi | X | X | 100.00 | 66 | 55 | 93 | 72 | 55 | 79 | 84 | 62 | 78 | 43 | 43 | 60 | 55 | 46 | 46 | 64 | 97 | 57 | 0 | 25 | 1 | 800,000$ | |||
13 | Roman Josi | X | 100.00 | 71 | 43 | 84 | 90 | 74 | 93 | 91 | 89 | 25 | 56 | 50 | 75 | 53 | 79 | 83 | 76 | 91 | 75 | 0 | 33 | 4 | 9,000,000$ | ||||
14 | Jared Spurgeon | X | 100.00 | 71 | 42 | 93 | 87 | 59 | 84 | 89 | 69 | 25 | 51 | 47 | 91 | 25 | 81 | 84 | 71 | 98 | 74 | 0 | 34 | 2 | 7,500,000$ | ||||
15 | Brian Dumoulin | X | 100.00 | 80 | 45 | 93 | 80 | 78 | 81 | 96 | 59 | 25 | 51 | 45 | 90 | 25 | 73 | 76 | 67 | 87 | 73 | 0 | 32 | 2 | 7,000,000$ | ||||
16 | Christopher Tanev | X | 100.00 | 71 | 53 | 89 | 82 | 74 | 80 | 91 | 62 | 25 | 49 | 45 | 89 | 25 | 78 | 81 | 65 | 89 | 73 | 0 | 34 | 2 | 4,500,000$ | ||||
17 | Radko Gudas | X | 100.00 | 99 | 71 | 70 | 75 | 75 | 72 | 92 | 61 | 25 | 50 | 45 | 86 | 25 | 75 | 77 | 65 | 96 | 72 | 0 | 33 | 3 | 2,500,000$ | ||||
18 | Brett Kulak | X | 100.00 | 78 | 54 | 85 | 79 | 74 | 72 | 95 | 58 | 25 | 50 | 45 | 81 | 25 | 69 | 71 | 64 | 93 | 70 | 0 | 30 | 3 | 4,000,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Cole Sillinger | X | 100.00 | 81 | 44 | 89 | 82 | 71 | 65 | 94 | 63 | 78 | 48 | 46 | 67 | 25 | 59 | 59 | 65 | 82 | 62 | 0 | 20 | 2 | 1,000,000$ | ||||
2 | Cole Koepke (R) | X | X | 100.00 | 84 | 45 | 95 | 63 | 72 | 53 | 85 | 54 | 25 | 46 | 46 | 64 | 25 | 45 | 45 | 61 | 60 | 56 | 0 | 25 | 3 | 800,000$ | |||
3 | Jason Demers | X | 100.00 | 70 | 72 | 64 | 72 | 72 | 51 | 52 | 54 | 25 | 40 | 40 | 68 | 37 | 77 | 81 | 53 | 45 | 60 | 0 | 35 | 1 | 800,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Liam O'Brien | X | 100.00 | 99 | 99 | 44 | 67 | 82 | 59 | 65 | 58 | 33 | 48 | 46 | 74 | 25 | 58 | 58 | 64 | 99 | 58 | 0 | 29 | 2 | 800,000$ | ||||
2 | Joseph Blandisi | X | X | 100.00 | 69 | 67 | 75 | 79 | 67 | 61 | 62 | 62 | 78 | 41 | 41 | 65 | 55 | 58 | 58 | 63 | 95 | 56 | 0 | 29 | 2 | 800,000$ | |||
3 | Brett Gallant | X | 100.00 | 70 | 70 | 70 | 69 | 70 | 48 | 49 | 48 | 50 | 35 | 35 | 61 | 48 | 55 | 55 | 53 | 84 | 49 | 0 | 35 | 1 | 800,000$ | ||||
4 | Frederic Allard | X | 100.00 | 69 | 66 | 76 | 61 | 66 | 60 | 64 | 47 | 25 | 37 | 37 | 59 | 39 | 51 | 51 | 50 | 48 | 53 | 0 | 26 | 1 | 800,000$ | ||||
5 | Jeffrey Viel | X | 100.00 | 61 | 71 | 37 | 67 | 71 | 70 | 73 | 60 | 50 | 39 | 39 | 58 | 58 | 48 | 48 | 60 | 69 | 52 | 0 | 27 | 1 | 800,000$ | ||||
TEAM AVERAGE | 100.00 | 73 | 55 | 81 | 78 | 71 | 70 | 85 | 66 | 45 | 48 | 46 | 73 | 46 | 67 | 68 | 68 | 86 | 64 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Marc-Andre Fleury | 97.00 | 76 | 81 | 82 | 73 | 77 | 74 | 83 | 77 | 78 | 76 | 90 | 85 | 92 | 78 | 90 | 77 | 0 | 39 | 2 | 3,500,000$ | |
2 | Connor Ingram | 100.00 | 72 | 72 | 68 | 76 | 76 | 68 | 80 | 71 | 77 | 72 | 68 | 46 | 47 | 73 | 96 | 69 | 0 | 27 | 2 | 800,000$ | |
Scratches | |||||||||||||||||||||||
1 | Jake Allen | 100.00 | 64 | 68 | 68 | 76 | 65 | 62 | 83 | 66 | 65 | 64 | 92 | 68 | 71 | 68 | 80 | 67 | 0 | 33 | 2 | 2,800,000$ | |
Farm Team | |||||||||||||||||||||||
1 | Elvis Merzlikins | 100.00 | 62 | 74 | 72 | 73 | 65 | 58 | 83 | 65 | 65 | 62 | 95 | 60 | 61 | 67 | 97 | 65 | 0 | 30 | 4 | 6,500,000$ | |
2 | Chris Driedger | 100.00 | 55 | 48 | 60 | 84 | 57 | 58 | 55 | 60 | 59 | 58 | 30 | 51 | 52 | 56 | 90 | 58 | 0 | 29 | 2 | 3,500,000$ | |
TEAM AVERAGE | 99.40 | 66 | 69 | 70 | 76 | 68 | 64 | 77 | 68 | 69 | 66 | 75 | 62 | 65 | 68 | 91 | 67 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Clayton Keller | Winnipeg Jets | LW/RW | 22 | 13 | 17 | 30 | 2 | 9 | 5 | 21 | 33 | 114 | 25 | 68 | 11.40% | 12 | 458 | 20.83 | 3 | 3 | 6 | 11 | 33 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 31.58% | 38 | 32 | 11 | 0 | 1 | 1.31 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 1 |
2 | Nick Suzuki | Winnipeg Jets | C | 22 | 17 | 12 | 29 | 2 | 29 | 15 | 36 | 35 | 94 | 22 | 53 | 18.09% | 8 | 464 | 21.12 | 3 | 5 | 8 | 8 | 33 | 0 | 0 | 0 | 2 | 14 | 4 | 0 | 48.56% | 624 | 24 | 18 | 0 | 1 | 1.25 | 0 | 0 | 0 | 1 | 2 | 2 | 4 | 1 |
3 | Roman Josi | Winnipeg Jets | D | 22 | 1 | 20 | 21 | 7 | 2 | 0 | 32 | 26 | 72 | 28 | 14 | 1.39% | 24 | 518 | 23.56 | 0 | 4 | 4 | 2 | 38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 11 | 16 | 0 | 0 | 0.81 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 0 |
4 | Jonathan Huberdeau | Winnipeg Jets | LW/RW | 22 | 8 | 7 | 15 | -2 | 4 | 0 | 37 | 16 | 59 | 17 | 42 | 13.56% | 6 | 381 | 17.32 | 1 | 3 | 4 | 3 | 23 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 60.00% | 15 | 17 | 7 | 0 | 0 | 0.79 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
5 | Alex Killorn | Winnipeg Jets | LW/RW | 22 | 2 | 13 | 15 | 5 | 23 | 15 | 31 | 21 | 46 | 20 | 39 | 4.35% | 10 | 452 | 20.56 | 1 | 5 | 6 | 6 | 31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41.67% | 24 | 19 | 8 | 0 | 0 | 0.66 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 |
6 | Vladimir Tarasenko | Winnipeg Jets | RW | 22 | 4 | 8 | 12 | 0 | 0 | 0 | 39 | 12 | 66 | 26 | 33 | 6.06% | 7 | 373 | 16.97 | 1 | 3 | 4 | 1 | 23 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 27.27% | 22 | 20 | 4 | 0 | 0 | 0.64 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
7 | Jared Spurgeon | Winnipeg Jets | D | 22 | 2 | 8 | 10 | 8 | 0 | 0 | 30 | 40 | 35 | 14 | 20 | 5.71% | 27 | 538 | 24.48 | 1 | 0 | 1 | 4 | 38 | 0 | 0 | 0 | 0 | 19 | 1 | 0 | 0% | 0 | 16 | 37 | 0 | 0 | 0.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8 | Yegor Sharangovich | Winnipeg Jets | C/LW/RW | 22 | 2 | 8 | 10 | 5 | 5 | 5 | 16 | 17 | 39 | 11 | 34 | 5.13% | 5 | 307 | 13.97 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 7 | 1 | 0 | 18.18% | 22 | 15 | 5 | 0 | 0 | 0.65 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
9 | Jonathan Toews | Winnipeg Jets | C | 14 | 5 | 4 | 9 | -2 | 5 | 5 | 10 | 16 | 30 | 12 | 15 | 16.67% | 6 | 225 | 16.09 | 2 | 1 | 3 | 3 | 17 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 56.19% | 194 | 5 | 6 | 1 | 0 | 0.80 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 1 |
10 | Yakov Trenin | Winnipeg Jets | C/LW | 22 | 5 | 4 | 9 | 3 | 0 | 0 | 39 | 17 | 61 | 14 | 31 | 8.20% | 10 | 305 | 13.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 18 | 2 | 0 | 55.56% | 9 | 12 | 7 | 0 | 0 | 0.59 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
11 | Pius Suter | Winnipeg Jets | C/LW | 22 | 5 | 4 | 9 | -1 | 5 | 5 | 9 | 16 | 29 | 5 | 22 | 17.24% | 3 | 192 | 8.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 0 | 50.00% | 6 | 7 | 6 | 0 | 0 | 0.93 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
12 | Derek Ryan | Winnipeg Jets | C/RW | 19 | 6 | 2 | 8 | 8 | 9 | 5 | 11 | 25 | 27 | 6 | 15 | 22.22% | 5 | 268 | 14.12 | 1 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 0 | 5 | 1 | 1 | 50.76% | 197 | 5 | 10 | 0 | 0 | 0.60 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 |
13 | Radko Gudas | Winnipeg Jets | D | 22 | 0 | 7 | 7 | 0 | 23 | 15 | 59 | 24 | 21 | 14 | 6 | 0% | 19 | 375 | 17.08 | 0 | 1 | 1 | 1 | 20 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0% | 0 | 1 | 10 | 0 | 0 | 0.37 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 0 |
14 | Aleksi Heponiemi | Winnipeg Jets | C/LW | 22 | 1 | 4 | 5 | 1 | 0 | 0 | 14 | 6 | 25 | 6 | 8 | 4.00% | 0 | 215 | 9.77 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 50.00% | 56 | 3 | 4 | 0 | 0 | 0.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Christopher Tanev | Winnipeg Jets | D | 22 | 0 | 4 | 4 | -2 | 10 | 10 | 30 | 35 | 21 | 4 | 9 | 0% | 26 | 434 | 19.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0% | 0 | 9 | 21 | 0 | 0 | 0.18 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 |
16 | Brett Kulak | Winnipeg Jets | D | 22 | 0 | 4 | 4 | 2 | 9 | 5 | 20 | 20 | 13 | 6 | 5 | 0% | 17 | 365 | 16.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 0% | 0 | 5 | 20 | 0 | 0 | 0.22 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
17 | Ryan Donato | Winnipeg Jets | C/LW | 22 | 2 | 2 | 4 | -1 | 0 | 0 | 22 | 6 | 26 | 7 | 18 | 7.69% | 5 | 187 | 8.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0% | 3 | 8 | 2 | 0 | 0 | 0.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
18 | Brian Dumoulin | Winnipeg Jets | D | 22 | 1 | 1 | 2 | -3 | 0 | 0 | 33 | 45 | 11 | 9 | 10 | 9.09% | 20 | 467 | 21.26 | 1 | 0 | 1 | 1 | 20 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0% | 0 | 7 | 29 | 0 | 0 | 0.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
19 | Cole Sillinger | Winnipeg Jets | C | 11 | 1 | 0 | 1 | -2 | 0 | 0 | 14 | 16 | 12 | 7 | 7 | 8.33% | 7 | 184 | 16.77 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.88% | 133 | 2 | 2 | 0 | 0 | 0.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 396 | 75 | 129 | 204 | 30 | 133 | 85 | 503 | 426 | 801 | 253 | 449 | 9.36% | 217 | 6716 | 16.96 | 14 | 25 | 39 | 41 | 292 | 0 | 0 | 0 | 3 | 132 | 15 | 3 | 48.99% | 1343 | 218 | 223 | 1 | 2 | 0.61 | 0 | 0 | 3 | 5 | 9 | 10 | 10 | 10 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Marc-Andre Fleury | Winnipeg Jets | 22 | 15 | 6 | 1 | 0.916 | 2.51 | 1337 | 0 | 1 | 56 | 668 | 336 | 2 | 2 | 0 | 0 | 22 | 0 | 3 | 2 | 1 |
2 | Connor Ingram | Winnipeg Jets | 1 | 0 | 0 | 0 | 1.000 | 0 | 10 | 0 | 0 | 0 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 22 | 0 | 0 | 0 |
Team Total or Average | 23 | 15 | 6 | 1 | 0.917 | 2.49 | 1348 | 0 | 1 | 56 | 671 | 338 | 2 | 2 | 0 | 22 | 22 | 3 | 2 | 1 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Player Name | Team Name | POS | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aleksi Heponiemi | Winnipeg Jets | C/LW | 25 | 1999-01-08 | No | 150 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 800,000$ | 25,397$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Alex Killorn | Winnipeg Jets | LW/RW | 34 | 1989-09-13 | No | 197 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 4,500,000$ | 4,500,000$ | 142,857$ | No | 4,500,000$ | - | - | - | - | - | - | - | - | 4,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Brett Kulak | Winnipeg Jets | D | 30 | 1994-01-05 | No | 197 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 4,000,000$ | 4,000,000$ | 126,984$ | No | 4,000,000$ | 4,000,000$ | - | - | - | - | - | - | - | 4,000,000$ | 4,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Brian Dumoulin | Winnipeg Jets | D | 32 | 1991-09-05 | No | 207 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 7,000,000$ | 7,000,000$ | 222,222$ | No | 7,000,000$ | - | - | - | - | - | - | - | - | 7,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Christopher Tanev | Winnipeg Jets | D | 34 | 1989-12-20 | No | 197 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 4,500,000$ | 4,500,000$ | 142,857$ | No | 4,500,000$ | - | - | - | - | - | - | - | - | 4,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Clayton Keller | Winnipeg Jets | LW/RW | 25 | 1998-07-28 | No | 170 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 7,100,000$ | 7,100,000$ | 225,397$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Cole Koepke | Winnipeg Jets | LW/RW | 25 | 1998-05-17 | Yes | 195 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 800,000$ | 800,000$ | 25,397$ | No | 800,000$ | 800,000$ | - | - | - | - | - | - | - | 800,000$ | 800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Cole Sillinger | Winnipeg Jets | C | 20 | 2003-05-16 | No | 197 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,000,000$ | 1,000,000$ | 31,746$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | 1,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Connor Ingram | Winnipeg Jets | G | 27 | 1997-03-30 | No | 212 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 800,000$ | 800,000$ | 25,397$ | No | 800,000$ | - | - | - | - | - | - | - | - | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Derek Ryan | Winnipeg Jets | C/RW | 37 | 1986-12-29 | No | 185 Lbs | 5 ft10 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,500,000$ | 1,500,000$ | 47,619$ | No | 1,500,000$ | - | - | - | - | - | - | - | - | 1,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Jake Allen | Winnipeg Jets | G | 33 | 1990-08-07 | No | 195 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 2,800,000$ | 2,800,000$ | 88,889$ | No | 2,800,000$ | - | - | - | - | - | - | - | - | 2,800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Jared Spurgeon | Winnipeg Jets | D | 34 | 1989-11-29 | No | 167 Lbs | 5 ft9 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 7,500,000$ | 7,500,000$ | 238,095$ | No | 7,500,000$ | - | - | - | - | - | - | - | - | 7,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Jason Demers | Winnipeg Jets | D | 35 | 1988-09-06 | No | 195 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 800,000$ | 25,397$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Jonathan Huberdeau | Winnipeg Jets | LW/RW | 30 | 1993-06-04 | No | 202 Lbs | 6 ft1 | No | No | Trade | 2024-02-25 | No | No | 1 | False | False | Pro & Farm | 5,900,000$ | 5,900,000$ | 187,302$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Jonathan Toews | Winnipeg Jets | C | 36 | 1988-04-29 | No | 201 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 10,500,000$ | 10,500,000$ | 333,333$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Marc-Andre Fleury | Winnipeg Jets | G | 39 | 1984-11-28 | No | 185 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 3,500,000$ | 3,500,000$ | 111,111$ | No | 3,500,000$ | - | - | - | - | - | - | - | - | 3,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Nick Suzuki | Winnipeg Jets | C | 24 | 1999-08-10 | No | 208 Lbs | 5 ft11 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 7,800,000$ | 7,800,000$ | 247,619$ | No | 7,800,000$ | 7,800,000$ | 7,800,000$ | - | - | - | - | - | - | 7,800,000$ | 7,800,000$ | 7,800,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | ||
Pius Suter | Winnipeg Jets | C/LW | 27 | 1996-05-24 | No | 176 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,000,000$ | 1,000,000$ | 31,746$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Radko Gudas | Winnipeg Jets | D | 33 | 1990-06-05 | No | 205 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 2,500,000$ | 2,500,000$ | 79,365$ | No | 2,500,000$ | 2,500,000$ | - | - | - | - | - | - | - | 2,500,000$ | 2,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Roman Josi | Winnipeg Jets | D | 33 | 1990-06-01 | No | 201 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 9,000,000$ | 9,000,000$ | 285,714$ | No | 9,000,000$ | 9,000,000$ | 9,000,000$ | - | - | - | - | - | - | 9,000,000$ | 9,000,000$ | 9,000,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | ||
Ryan Donato | Winnipeg Jets | C/LW | 28 | 1996-04-09 | No | 192 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,000,000$ | 1,000,000$ | 31,746$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Vladimir Tarasenko | Winnipeg Jets | RW | 32 | 1991-12-13 | No | 225 Lbs | 6 ft0 | No | No | Trade | 2024-02-25 | No | No | 1 | False | False | Pro & Farm | 7,500,000$ | 7,500,000$ | 238,095$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Yakov Trenin | Winnipeg Jets | C/LW | 27 | 1997-01-13 | No | 201 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 800,000$ | 800,000$ | 25,397$ | No | 800,000$ | - | - | - | - | - | - | - | - | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Yegor Sharangovich | Winnipeg Jets | C/LW/RW | 25 | 1998-06-06 | No | 195 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,000,000$ | 1,000,000$ | 31,746$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
24 | 30.21 | 194 Lbs | 6 ft0 | 1.92 | 3,900,000$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
93,600,000$ | 58,000,000$ | 24,100,000$ | 16,800,000$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Clayton Keller | Nick Suzuki | Alex Killorn | 37 | 0 | 1 | 4 |
2 | Jonathan Huberdeau | Jonathan Toews | Vladimir Tarasenko | 30 | 0 | 2 | 3 |
3 | Yakov Trenin | Derek Ryan | Yegor Sharangovich | 24 | 0 | 3 | 2 |
4 | Pius Suter | Aleksi Heponiemi | Ryan Donato | 9 | 0 | 3 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Roman Josi | Jared Spurgeon | 34 | 0 | 5 | 0 | |
2 | Brian Dumoulin | Christopher Tanev | 34 | 0 | 5 | 0 | |
3 | Radko Gudas | Brett Kulak | 27 | 0 | 5 | 0 | |
4 | Roman Josi | Jared Spurgeon | 5 | 0 | 5 | 0 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Alex Killorn | Nick Suzuki | Clayton Keller | 60 | 0 | 0 | 5 |
2 | Jonathan Huberdeau | Jonathan Toews | Vladimir Tarasenko | 40 | 0 | 0 | 5 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Roman Josi | Jared Spurgeon | 60 | 0 | 1 | 4 | |
2 | Brian Dumoulin | Radko Gudas | 40 | 0 | 1 | 4 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Nick Suzuki | Yakov Trenin | 60 | 0 | 5 | 0 |
2 | Derek Ryan | Pius Suter | 40 | 0 | 4 | 1 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Jared Spurgeon | Brett Kulak | 60 | 0 | 5 | 0 |
2 | Brian Dumoulin | Radko Gudas | 40 | 0 | 5 | 0 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Nick Suzuki | 60 | 0 | 5 | 0 | Jared Spurgeon | Brett Kulak | 60 | 0 | 5 | 0 |
2 | Derek Ryan | 40 | 1 | 4 | 0 | Brian Dumoulin | Radko Gudas | 40 | 0 | 5 | 0 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Nick Suzuki | Clayton Keller | 60 | 0 | 1 | 4 |
2 | Jonathan Toews | Jonathan Huberdeau | 40 | 0 | 2 | 3 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Roman Josi | Jared Spurgeon | 60 | 0 | 2 | 3 |
2 | Brett Kulak | Brian Dumoulin | 40 | 0 | 2 | 3 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Jonathan Huberdeau | Nick Suzuki | Clayton Keller | Roman Josi | Jared Spurgeon |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Aleksi Heponiemi | Jonathan Toews | Yegor Sharangovich | Jared Spurgeon | Brett Kulak |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Derek Ryan, Aleksi Heponiemi, Yegor Sharangovich | Derek Ryan, Aleksi Heponiemi | Yegor Sharangovich |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Brett Kulak, Christopher Tanev, Brian Dumoulin | Brett Kulak | Christopher Tanev, Brian Dumoulin |
Penalty Shots |
---|
Nick Suzuki, Pius Suter, Yegor Sharangovich, Jonathan Huberdeau, Vladimir Tarasenko |
Goalie |
---|
#1 : Marc-Andre Fleury, #2 : Connor Ingram |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
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7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
1 | Boston Bruins | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 15 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 6 | 0.600 | 15 | 26 | 41 | 0 | 0 | 6 | 5 | 4 | 0 | 193 | 57 | 67 | 69 | 0 | 150 | 51 | 33 | 95 | 12 | 3 | 25.00% | 4 | 2 | 50.00% | 0 | 264 | 555 | 47.57% | 234 | 446 | 52.47% | 160 | 342 | 46.78% | 114 | 70 | 98 | 41 | 87 | 43 |
2 | Calgary Flames | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 20 | 20 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 8 | 0.667 | 20 | 34 | 54 | 0 | 0 | 2 | 8 | 9 | 1 | 208 | 38 | 78 | 81 | 11 | 187 | 60 | 16 | 139 | 9 | 2 | 22.22% | 3 | 0 | 100.00% | 0 | 264 | 555 | 47.57% | 234 | 446 | 52.47% | 160 | 342 | 46.78% | 127 | 74 | 136 | 55 | 112 | 53 |
3 | Chicago Blackhawks | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 13 | 4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 8 | 0.667 | 17 | 31 | 48 | 1 | 0 | 2 | 10 | 5 | 0 | 210 | 75 | 66 | 62 | 7 | 174 | 55 | 74 | 155 | 14 | 6 | 42.86% | 7 | 0 | 100.00% | 0 | 264 | 555 | 47.57% | 234 | 446 | 52.47% | 160 | 342 | 46.78% | 139 | 81 | 122 | 53 | 112 | 57 |
4 | San Jose Sharks | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 23 | 10 | 13 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 3 | 13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 8 | 0.800 | 23 | 38 | 61 | 1 | 1 | 5 | 8 | 10 | 0 | 190 | 54 | 60 | 76 | 0 | 162 | 51 | 10 | 114 | 6 | 3 | 50.00% | 5 | 1 | 80.00% | 0 | 264 | 555 | 47.57% | 234 | 446 | 52.47% | 160 | 342 | 46.78% | 107 | 62 | 102 | 42 | 90 | 45 |
Total | 22 | 15 | 7 | 0 | 0 | 0 | 0 | 0 | 75 | 58 | 17 | 12 | 9 | 3 | 0 | 0 | 0 | 0 | 0 | 44 | 26 | 18 | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 31 | 32 | -1 | 30 | 0.682 | 75 | 129 | 204 | 2 | 1 | 15 | 31 | 28 | 1 | 801 | 224 | 271 | 288 | 18 | 673 | 217 | 133 | 503 | 41 | 14 | 34.15% | 19 | 3 | 84.21% | 0 | 264 | 555 | 47.57% | 234 | 446 | 52.47% | 160 | 342 | 46.78% | 489 | 288 | 458 | 193 | 402 | 200 | |
_Since Last GM Reset | 22 | 15 | 7 | 0 | 0 | 0 | 0 | 0 | 75 | 58 | 17 | 12 | 9 | 3 | 0 | 0 | 0 | 0 | 0 | 44 | 26 | 18 | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 31 | 32 | -1 | 30 | 0.682 | 75 | 129 | 204 | 2 | 1 | 15 | 31 | 28 | 1 | 801 | 224 | 271 | 288 | 18 | 673 | 217 | 133 | 503 | 41 | 14 | 34.15% | 19 | 3 | 84.21% | 0 | 264 | 555 | 47.57% | 234 | 446 | 52.47% | 160 | 342 | 46.78% | 489 | 288 | 458 | 193 | 402 | 200 | |
_Vs Conference | 17 | 12 | 5 | 0 | 0 | 0 | 0 | 0 | 60 | 43 | 17 | 9 | 7 | 2 | 0 | 0 | 0 | 0 | 0 | 35 | 17 | 18 | 8 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 25 | 26 | -1 | 24 | 0.706 | 60 | 103 | 163 | 2 | 1 | 9 | 26 | 24 | 1 | 608 | 167 | 204 | 219 | 18 | 523 | 166 | 100 | 408 | 29 | 11 | 37.93% | 15 | 1 | 93.33% | 0 | 264 | 555 | 47.57% | 234 | 446 | 52.47% | 160 | 342 | 46.78% | 374 | 218 | 360 | 151 | 315 | 157 | |
_Vs Division | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 13 | 4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 8 | 0.667 | 17 | 31 | 48 | 1 | 0 | 2 | 10 | 5 | 0 | 210 | 75 | 66 | 62 | 7 | 174 | 55 | 74 | 155 | 14 | 6 | 42.86% | 7 | 0 | 100.00% | 0 | 264 | 555 | 47.57% | 234 | 446 | 52.47% | 160 | 342 | 46.78% | 139 | 81 | 122 | 53 | 112 | 57 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
22 | 30 | W2 | 75 | 129 | 204 | 801 | 673 | 217 | 133 | 503 | 2 | 1 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
22 | 15 | 7 | 0 | 0 | 0 | 0 | 75 | 58 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
12 | 9 | 3 | 0 | 0 | 0 | 0 | 44 | 26 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
10 | 6 | 4 | 0 | 0 | 0 | 0 | 31 | 32 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
7 | 3 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
41 | 14 | 34.15% | 19 | 3 | 84.21% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
224 | 271 | 288 | 18 | 15 | 31 | 28 | 1 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
264 | 555 | 47.57% | 234 | 446 | 52.47% | 160 | 342 | 46.78% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
489 | 288 | 458 | 193 | 402 | 200 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100 | 60 | 35 | 20 | 210 |
Attendance | 72,000 | 60,000 | 24,000 | 48,000 | 12,000 |
Attendance PCT | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
30 | 18000 - 100.00% | 1,638,000$ | 19,656,000$ | 18000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
0$ | 93,600,000$ | 93,550,000$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 24 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 2 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 97,958,804$ | 97,958,804$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 182,958,804$ | 182,958,804$ | -20,000,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Last Trade Date | Link |
---|---|---|---|---|---|---|
Danny DeKeyser | Winnipeg Jets | 0 | 0 | Link | ||
Jason Garrison | Winnipeg Jets | 0 | 0 | |||
Ken Appleby | Winnipeg Jets | 0 | 0 |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
---|---|---|---|---|---|---|---|
2024 | |||||||
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The Boston Bruins have reached the finals for the second time in franchise history as they look to win their first title.
A strong late stretch in the season earned them the top spot in the East, but it nearly all came crashing down when they took on the wildcard winning Montreal Canadiens. Fortunately for the Bruins, they were able to pull out a Game 7 win and build from there.
Both the second and third round saw some challenges against teams from the very strong Atlantic Division, but the Bruins overcame some injuries and continued to produce.
Leon Draisaitl, not surprisingly, has been leading the way with 26 points in 18 games. When he's been healthy, David Pastrnak has been scoring at a point per game pace, and Travis Konecny has really stepped up his play too, putting up great numbers in elimination games.
The last step is going to be an extremely difficult one as they face the West's regular season champs, the Winnipeg Jets. They're a well-managed team with Jose Simoes having built a winner of the young franchise. Their defence corps is absolutely stacked, and to boot, they have former Bruin goalie Marc-Andre Fleury between the pipes. Goals might be at a premium, but whoever comes out on top, the 2024 MFHL Finals should be a great series.
Stephen
Bruins GM
Jose Simoes (Mar 2023) (Winnipeg Jets) On 6th May / 4:49pm : Thank you Stephen for the kind words. Let's hope for a clean, hard fought series.
José Simões GM - Winnipeg Jets MFHL 2022-2023 Pro League Champions! |
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Winnipeg Jets – 2024 Finals Update!
A lot has happened since our last update.
The new players acquired at the trade deadline have settled into their roles on the team, adding some much needed secondary scoring to take some of the pressure off of the top line.
The team finished the season strong, sitting atop the overall standings. What a difference a year makes! Last season, the Jets had to wait until the last game of the last day of the season to make the playoffs.
Fleury has continued to shine and yet again, reinforce why GM Simoes picked him up at last years deadline. Although he hasn’t been called upon a lot in these playoffs, Ingram played some significant minutes down the stretch to not only keep himself sharp, if needed during the playoffs, but to also allow his veteran crease mate some much appreciated time to rest before the grind of the playoffs started.
The above mentioned top line has had another stellar playoffs. Keller and Suzuki currently sit 2nd and 3rd respectively in points while Suzuki leads in goals. Along with center Killorn, the top line has combined for 24 goals, 40% of the teams total. The second line of Huberdeau, Toews and Tarasenko has chipped in another 14 goals.
On the backend, the top D pairing of Josi and Spurgeon are top-5 in the league. Josi leads with 17 points while Spurgeon is tied for 4th among all defensemen with 9 points.
The PK is a big reason for the teams overall success giving up only 1 goal on their way to the finals. Sitting at 93.3% on the PK, the Jets are leading the league.
As we get ready to start the Finals against a great opponent in the Boston Bruins, the Jets are eager to defend their Championship and once again, bring the Cup north of the border!
GO JETS, GO!!!
Until next month, stay warm out there!
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Winnipeg Jets – February 2024 Update!
The Jets continued rolling in February, going 9-3-1 while putting together 2 separate 4 game winning streaks. They also seem to have weathered the injury storm that affected their January seeing both goalies going down at the same time.
The month of February has seen them leapfrog Dallas for first overall!
Marc-Andre Fleury is continuing his stellar play going 9-2-0 with 1 Shut Out while Connor Ingram has gone 1-1-1 in relief. Fleury also continues to lead the league in Wins (34) and SV% (.923) while second only to Linus Ullmark in GAA (2.35 to 2.33) and having the fewest losses (8). I think it’s safe to say that Fleury’s continued hot play is a big reason that Winnipeg is sitting atop the standings.
Roman Josi, copy and paste January into February. Amongst all defensemen, he is currently second in points with 53 and leads with 13 goals. He ends February by having played the second most minutes but with 2 games in-hand, his average minutes played should see him at the top.
When you’re the defending Champions and currently sitting in first, you don’t want to tinker too much with the team, but you do want to show the players that you’re committed to them and to winning. The trade deadline saw GM Simões acquire some secondary scoring to complement the stellar play of Clayton Keller, Nick Suzuki and Alex Killorn. The GM was able to pick up Jonathan Huberdeau and Vladimir Tarasenko in separate deals. These acquisitions will allow other players to play lower in the line-up, improving our bottom-6 forwards.
With the addition of high-scoring wingers Huberdeau and Tarasenko to the second line, centre Jonathan Toews should see his production continue to increase. This will also allow Yakov Trenin to play on the third line, greatly improving the toughness and defensive responsibilities on the line and rounding out the fourth line by adding Ryan Donato, improving the overall play.
“When you add guys like Huby and Tank to our top-6, it has the double benefit of improving our bottom-6 by having some players slide down the line-up and play above their spot” added GM Simões at the teams post deadline Press Conference.
As we turn the page to March, with the trade deadline in the rearview mirror, it is now time to fine tune this lineup. Players could see themselves moving up or down 1 or even 2 lines depending on their play. That is now on the coach to sort out with 17 games to go before the playoffs start.
One final note, the Winnipeg Organization would like to thank our departed Captain Adam Henrique for everything he has done for not only this organization but also in helping this great city win their first Championship! His joyous smile and upbeat attitude will be greatly missed in the locker room.
Until next month, stay warm out there!
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The Jets started 2024 with a W against the Wild and the rest of the month has been just that, a wild ride!
The Jets have gone 8-4 over the month of January, sandwiching 2 winning streaks (3 games and 4 games) around a 3 game losing streak. They’ve had some highs (a 5-1 win against Nashville that kicked off their first 3 game winning streak) and some lows (being outscored 15-8 during the 3 game losing streak) but through it all, they’ve stuck together and played as a team to work their way out. They’ve grinded out some tough W’s along the way (needing 35 shots and OT to put up a 2-1 W against Los Angeles) while also losing some close games (2 goals on 43 shots against Boston before finally losing in the Shootout).
Winnipeg finds themselves sitting second in their division, conference and overall. Behind only the Dallas Stars by 2 points, although Dallas has 2 games in hand.
On an individual standpoint, Marc-Andre Fleury leads the league in SV%, GAA and Wins continuing his hot play from last seasons trade deadline when GM Simões acquired him from Detroit for a 2nd round pick and leading the team to their first Championship.
Roman Josi, picked up in the off-season from Carolina, is currently sitting 2nd amongst all defensemen with 43 points and leads all defensemen with 11 goals. He is proving to be the stud defensemen that GM Simões was hoping he had acquired as he currently is tied for most minutes played in the league.
Clayton Keller continues to lead the team with 29 goals, 38 assists and 67 points. He is also 1 off the league lead in Game Winning Goals with 6 and has shown his versatility by playing both wings and being a top-5 winger in the league. Nick Suzuki and Jonathan Toews are proving to be a formidable center ice pairing, with 57 and 45 points respectively. Toews sits second in the league in Face-Off %, having won 60.32% of his draws. Brett Kulak leads the team (and is top-10 in the league) in +/- with a +21.
As we start February with less than 30 games to go, the team hopes to continue playing at a high level while managing any injuries that come their way. Both Suzuki and Toews have missed some time this season as have both goalies, Fleury and Connor Ingram (both went down for a 3 game stretch in which Jake Allen and Chris Driedger were called up from the farm, with only Allen seeing game time). As we get closer to the trade deadline, GM Simões will have to evaluate the teams needs and see what is available to help improve the team.
Until next month, stay warm out there!
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After going 5-1-2 in September, Winnipeg followed that up with a 4-2-3 month of October. A few more L's than GM Simoes would like, but at least they salvaged some points in those losses managing to get 11 out of a possible 18 points. The Jets are currently 5th overall and 3rd in the West.
Having just come off of an unexpected Championship run that saw the team make the playoffs on the last day of the season, the GM doesn't want to tinker too much with the lineup but he has made a couple additons. In the off-season, stud defenseman Roman Josi was brought in from Carolina and has definitely proven his worth by taking over the 1D role and is currently one of the top D in the league. Meanwhile an early season move saw veteran center and Captain Serious, Jonathan Toews brought in to solidy the middle of the ice for a team that he watched growing up. After missing a couple of games to injury, Toews has settled in nicely on the 2nd line while also finding time on the second PP and PK units. It will be in the dog days of the season and deep into the playoffs that Toews experience and leadership will truly be felt as he hopes to help his hometown team win their second Cup.
The goaltending of last season's trade deadline acquistion Marc-Andre Fleury has been stellar as expected posting an 8-3-5 record along with a .915 SV% and 2.63 GAA making him a top-10 goalie in the league. Having suffered a mild injury 3 games ago, Connor Ingram has played excellent going 2-0 in Marc's absence with a 1.00 GAA in those two games. So far in 5 appearances, Ingram has posted a 3-0-0 record with a .913 SV% and a 2.20 GAA, giving Winnipeg a very formidable tandem throughout the season.
Nick Suzuki currenlty sits 4th overall in points and is looking forward to sponging as much knowledge as possible from Toews.
Let's see how high the Jets can fly in November!
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