Philadelphia Flyers | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Mika Sutinen (Sept 2008) | Morale : 99 | Team Overall : 66 |
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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 | Bo Horvat (C) | X | 100.00 | 69 | 43 | 92 | 87 | 77 | 85 | 92 | 91 | 98 | 53 | 57 | 75 | 61 | 76 | 76 | 85 | 45 | 71 | 0 | 29 | 4 | 8,500,000$ | ||||
2 | Matt Duchene | X | X | 100.00 | 63 | 41 | 86 | 90 | 70 | 78 | 92 | 82 | 65 | 54 | 51 | 60 | 73 | 83 | 85 | 78 | 58 | 67 | 0 | 33 | 2 | 8,000,000$ | |||
3 | Mathew Barzal | X | X | 100.00 | 63 | 41 | 88 | 94 | 68 | 79 | 83 | 91 | 57 | 57 | 49 | 62 | 41 | 68 | 71 | 77 | 52 | 67 | 0 | 26 | 1 | 7,500,000$ | |||
4 | Anthony Cirelli | X | X | 100.00 | 67 | 53 | 83 | 85 | 70 | 74 | 84 | 64 | 92 | 51 | 48 | 86 | 75 | 69 | 74 | 75 | 68 | 66 | 0 | 26 | 2 | 5,800,000$ | |||
5 | Barclay Goodrow | X | X | 100.00 | 80 | 90 | 80 | 77 | 82 | 67 | 98 | 58 | 72 | 50 | 47 | 81 | 25 | 72 | 76 | 71 | 55 | 64 | 0 | 31 | 1 | 900,000$ | |||
6 | Taylor Raddysh | X | 100.00 | 76 | 44 | 92 | 74 | 73 | 74 | 93 | 87 | 49 | 50 | 50 | 63 | 25 | 60 | 60 | 74 | 66 | 64 | 0 | 26 | 2 | 1,000,000$ | ||||
7 | Eric Robinson | X | 100.00 | 82 | 45 | 97 | 75 | 73 | 66 | 87 | 57 | 31 | 49 | 48 | 84 | 25 | 65 | 65 | 73 | 56 | 63 | 0 | 28 | 2 | 3,100,000$ | ||||
8 | Filip Chytil | X | X | 100.00 | 65 | 42 | 87 | 82 | 76 | 69 | 88 | 70 | 72 | 51 | 51 | 64 | 25 | 67 | 68 | 76 | 68 | 63 | 0 | 24 | 2 | 3,000,000$ | |||
9 | Ilya Mikheyev | X | X | 100.00 | 61 | 42 | 98 | 88 | 74 | 75 | 67 | 69 | 31 | 52 | 50 | 73 | 25 | 62 | 63 | 77 | 68 | 63 | 0 | 29 | 3 | 4,700,000$ | |||
10 | Jimmy Vesey | X | X | 100.00 | 77 | 57 | 91 | 80 | 76 | 66 | 92 | 61 | 31 | 49 | 47 | 79 | 63 | 70 | 70 | 71 | 31 | 63 | 0 | 30 | 1 | 3,000,000$ | |||
11 | Philipp Kurashev | X | X | X | 100.00 | 65 | 42 | 93 | 76 | 70 | 77 | 87 | 75 | 49 | 50 | 47 | 73 | 63 | 62 | 62 | 70 | 38 | 63 | 0 | 24 | 1 | 800,000$ | ||
12 | Adam Larsson | X | 100.00 | 92 | 57 | 83 | 79 | 78 | 89 | 99 | 60 | 25 | 51 | 47 | 86 | 25 | 78 | 79 | 68 | 73 | 74 | 0 | 31 | 3 | 4,000,000$ | ||||
13 | Jonas Brodin | X | 100.00 | 71 | 43 | 85 | 83 | 71 | 86 | 84 | 64 | 25 | 49 | 46 | 90 | 25 | 77 | 80 | 65 | 49 | 72 | 0 | 30 | 1 | 4,200,000$ | ||||
14 | Damon Severson | X | 100.00 | 65 | 42 | 86 | 86 | 76 | 80 | 98 | 71 | 25 | 52 | 46 | 78 | 48 | 76 | 76 | 67 | 54 | 71 | 0 | 29 | 3 | 4,200,000$ | ||||
15 | Ilya Lyubushkin | X | 100.00 | 80 | 45 | 83 | 76 | 75 | 67 | 90 | 59 | 25 | 49 | 45 | 88 | 25 | 65 | 66 | 64 | 69 | 70 | 0 | 30 | 3 | 3,670,000$ | ||||
16 | Marcus Pettersson | X | 100.00 | 85 | 65 | 76 | 81 | 69 | 81 | 87 | 60 | 25 | 52 | 45 | 84 | 25 | 67 | 69 | 66 | 43 | 70 | 0 | 28 | 4 | 4,500,000$ | ||||
17 | Connor Clifton | X | 100.00 | 92 | 77 | 78 | 76 | 66 | 75 | 86 | 58 | 25 | 50 | 46 | 81 | 45 | 64 | 67 | 64 | 21 | 68 | 0 | 29 | 3 | 2,350,000$ | ||||
18 | Kyle Burroughs | X | 100.00 | 99 | 99 | 65 | 68 | 75 | 72 | 63 | 59 | 25 | 47 | 45 | 83 | 25 | 56 | 56 | 62 | 55 | 66 | 0 | 28 | 1 | 800,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Boris Katchouk | X | 100.00 | 80 | 55 | 86 | 72 | 67 | 62 | 77 | 66 | 31 | 49 | 46 | 78 | 25 | 58 | 58 | 67 | 14 | 60 | 0 | 25 | 2 | 1,000,000$ | ||||
2 | Sonny Milano | X | X | 100.00 | 67 | 42 | 90 | 83 | 70 | 64 | 85 | 65 | 25 | 52 | 48 | 60 | 25 | 63 | 63 | 71 | 58 | 60 | 0 | 27 | 4 | 2,900,000$ | |||
Farm Team | |||||||||||||||||||||||||||||
1 | Alex Belzile | X | X | 100.00 | 73 | 64 | 87 | 66 | 71 | 62 | 70 | 60 | 69 | 51 | 48 | 75 | 53 | 58 | 58 | 71 | 72 | 58 | 0 | 32 | 1 | 800,000$ | |||
2 | Tanner Kero | X | X | 100.00 | 73 | 68 | 83 | 70 | 68 | 74 | 77 | 65 | 80 | 42 | 42 | 67 | 58 | 58 | 58 | 66 | 74 | 57 | 0 | 31 | 1 | 850,000$ | |||
3 | Marian Studenic | X | X | 100.00 | 69 | 62 | 85 | 72 | 62 | 73 | 76 | 63 | 50 | 42 | 42 | 62 | 59 | 48 | 49 | 64 | 80 | 55 | 0 | 25 | 1 | 800,000$ | |||
4 | T.J. Tynan | X | 100.00 | 65 | 58 | 82 | 62 | 58 | 79 | 84 | 63 | 79 | 49 | 49 | 60 | 46 | 45 | 45 | 60 | 76 | 55 | 0 | 32 | 2 | 800,000$ | ||||
5 | Glenn Gawdin | X | X | 100.00 | 71 | 69 | 77 | 64 | 69 | 74 | 78 | 61 | 76 | 39 | 39 | 62 | 59 | 45 | 45 | 64 | 85 | 54 | 0 | 27 | 1 | 800,000$ | |||
6 | James Hamblin (R) | X | X | 100.00 | 70 | 62 | 90 | 67 | 62 | 75 | 79 | 60 | 75 | 40 | 40 | 61 | 55 | 44 | 44 | 62 | 54 | 53 | 0 | 25 | 3 | 800,000$ | |||
7 | Tyler Benson | X | X | 100.00 | 75 | 73 | 80 | 67 | 73 | 61 | 63 | 58 | 50 | 41 | 41 | 64 | 48 | 47 | 47 | 59 | 74 | 53 | 0 | 26 | 2 | 800,000$ | |||
8 | Josiah Slavin | X | 100.00 | 70 | 61 | 90 | 70 | 61 | 75 | 82 | 50 | 63 | 37 | 37 | 59 | 46 | 44 | 44 | 56 | 84 | 52 | 0 | 25 | 2 | 800,000$ | ||||
9 | Joseph LaBate | X | X | 100.00 | 72 | 81 | 52 | 61 | 81 | 58 | 60 | 54 | 68 | 37 | 37 | 61 | 54 | 45 | 45 | 57 | 74 | 50 | 0 | 31 | 1 | 1,110,000$ | |||
10 | Philip Broberg | X | 100.00 | 67 | 43 | 98 | 83 | 76 | 60 | 71 | 62 | 25 | 49 | 45 | 73 | 25 | 52 | 53 | 61 | 30 | 62 | 0 | 22 | 2 | 1,000,000$ | ||||
11 | Robin Salo (R) | X | 100.00 | 65 | 41 | 88 | 68 | 67 | 57 | 71 | 59 | 25 | 49 | 48 | 67 | 25 | 45 | 45 | 64 | 68 | 57 | 0 | 25 | 2 | 800,000$ | ||||
TEAM AVERAGE | 100.00 | 73 | 56 | 85 | 76 | 71 | 72 | 82 | 65 | 50 | 48 | 46 | 72 | 42 | 61 | 62 | 68 | 58 | 62 |
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 | Tristan Jarry | 100.00 | 75 | 82 | 79 | 76 | 75 | 75 | 83 | 75 | 79 | 75 | 75 | 63 | 64 | 77 | 73 | 74 | 0 | 29 | 3 | 3,500,000$ | |
2 | Spencer Martin | 100.00 | 62 | 60 | 58 | 81 | 65 | 58 | 69 | 64 | 65 | 62 | 91 | 47 | 47 | 63 | 53 | 62 | 0 | 28 | 3 | 1,500,000$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Michael Houser | 100.00 | 54 | 43 | 54 | 73 | 58 | 56 | 53 | 59 | 58 | 57 | 30 | 44 | 44 | 55 | 80 | 54 | 0 | 31 | 1 | 800,000$ | |
TEAM AVERAGE | 100.00 | 64 | 62 | 64 | 77 | 66 | 63 | 68 | 66 | 67 | 65 | 65 | 51 | 52 | 65 | 69 | 63 |
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 |
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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 |
# | 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 |
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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 | 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 |
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Adam Larsson | Philadelphia Flyers | D | 31 | 1992-11-11 | No | 208 Lbs | 6 ft3 | 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 | ||
Anthony Cirelli | Philadelphia Flyers | C/LW | 26 | 1997-07-15 | No | 193 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 5,800,000$ | 5,800,000$ | 184,127$ | No | 5,800,000$ | - | - | - | - | - | - | - | - | 5,800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Barclay Goodrow | Philadelphia Flyers | C/LW | 31 | 1993-02-25 | No | 215 Lbs | 6 ft2 | No | No | Trade | 2024-02-25 | No | No | 1 | False | False | Pro & Farm | 900,000$ | 900,000$ | 28,571$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Bo Horvat | Philadelphia Flyers | C | 29 | 1995-04-04 | No | 215 Lbs | 6 ft0 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 8,500,000$ | 8,500,000$ | 269,841$ | No | 8,500,000$ | 8,500,000$ | 8,500,000$ | - | - | - | - | - | - | 8,500,000$ | 8,500,000$ | 8,500,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | ||
Boris Katchouk | Philadelphia Flyers | LW | 25 | 1998-06-17 | No | 179 Lbs | 6 ft1 | 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 Clifton | Philadelphia Flyers | D | 29 | 1995-04-28 | No | 175 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 2,350,000$ | 2,350,000$ | 74,603$ | No | 2,350,000$ | 2,350,000$ | - | - | - | - | - | - | - | 2,350,000$ | 2,350,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Damon Severson | Philadelphia Flyers | D | 29 | 1994-08-07 | No | 205 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 4,200,000$ | 4,200,000$ | 133,333$ | No | 4,200,000$ | 4,200,000$ | - | - | - | - | - | - | - | 4,200,000$ | 4,200,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Eric Robinson | Philadelphia Flyers | LW | 28 | 1995-06-14 | No | 197 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 3,100,000$ | 3,100,000$ | 98,413$ | No | 3,100,000$ | - | - | - | - | - | - | - | - | 3,100,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Filip Chytil | Philadelphia Flyers | C/LW | 24 | 1999-09-05 | No | 206 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 95,238$ | No | 3,000,000$ | - | - | - | - | - | - | - | - | 3,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Ilya Lyubushkin | Philadelphia Flyers | D | 30 | 1994-04-06 | No | 201 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 3,670,000$ | 3,670,000$ | 116,508$ | No | 3,670,000$ | 3,670,000$ | - | - | - | - | - | - | - | 3,670,000$ | 3,670,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Ilya Mikheyev | Philadelphia Flyers | LW/RW | 29 | 1994-10-10 | No | 195 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 4,700,000$ | 4,700,000$ | 149,206$ | No | 4,700,000$ | 4,700,000$ | - | - | - | - | - | - | - | 4,700,000$ | 4,700,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Jimmy Vesey | Philadelphia Flyers | LW/RW | 30 | 1993-05-26 | No | 202 Lbs | 6 ft3 | No | No | Trade | 2024-02-25 | No | No | 1 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 95,238$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Jonas Brodin | Philadelphia Flyers | D | 30 | 1993-07-12 | No | 194 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 4,200,000$ | 4,200,000$ | 133,333$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Kyle Burroughs | Philadelphia Flyers | D | 28 | 1995-07-12 | No | 198 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 800,000$ | 25,397$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Marcus Pettersson | Philadelphia Flyers | D | 28 | 1996-05-08 | No | 177 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 4,500,000$ | 4,500,000$ | 142,857$ | No | 4,500,000$ | 4,500,000$ | 4,500,000$ | - | - | - | - | - | - | 4,500,000$ | 4,500,000$ | 4,500,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | ||
Mathew Barzal | Philadelphia Flyers | C/RW | 26 | 1997-05-26 | No | 187 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 7,500,000$ | 7,500,000$ | 238,095$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Matt Duchene | Philadelphia Flyers | C/RW | 33 | 1991-01-15 | No | 195 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 8,000,000$ | 8,000,000$ | 253,968$ | No | 8,000,000$ | - | - | - | - | - | - | - | - | 8,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Philipp Kurashev | Philadelphia Flyers | C/LW/RW | 24 | 1999-10-12 | No | 190 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 800,000$ | 25,397$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Sonny Milano | Philadelphia Flyers | LW/RW | 27 | 1996-05-12 | No | 194 Lbs | 6 ft0 | No | No | Trade | 2024-02-25 | No | No | 4 | False | False | Pro & Farm | 2,900,000$ | 2,900,000$ | 92,063$ | No | 2,900,000$ | 2,900,000$ | 2,900,000$ | - | - | - | - | - | - | 2,900,000$ | 2,900,000$ | 2,900,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | |
Spencer Martin | Philadelphia Flyers | G | 28 | 1995-06-08 | No | 205 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,500,000$ | 1,500,000$ | 47,619$ | No | 1,500,000$ | 1,500,000$ | - | - | - | - | - | - | - | 1,500,000$ | 1,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Taylor Raddysh | Philadelphia Flyers | RW | 26 | 1998-02-18 | No | 198 Lbs | 6 ft2 | No | No | Trade | 2024-02-25 | No | No | 2 | False | False | Pro & Farm | 1,000,000$ | 1,000,000$ | 31,746$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | 1,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Tristan Jarry | Philadelphia Flyers | G | 29 | 1995-04-25 | No | 194 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 3,500,000$ | 3,500,000$ | 111,111$ | No | 3,500,000$ | 3,500,000$ | - | - | - | - | - | - | - | 3,500,000$ | 3,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
22 | 28.18 | 197 Lbs | 6 ft1 | 2.32 | 3,587,273$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
78,920,000$ | 61,720,000$ | 39,820,000$ | 15,900,000$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Anthony Cirelli | Bo Horvat | Matt Duchene | 30 | 1 | 3 | 1 |
2 | Barclay Goodrow | Mathew Barzal | Philipp Kurashev | 30 | 1 | 2 | 2 |
3 | Ilya Mikheyev | Filip Chytil | Taylor Raddysh | 30 | 1 | 2 | 2 |
4 | Eric Robinson | Anthony Cirelli | Jimmy Vesey | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Adam Larsson | Jonas Brodin | 30 | 1 | 3 | 1 | |
2 | Damon Severson | Ilya Lyubushkin | 30 | 1 | 2 | 2 | |
3 | Marcus Pettersson | Connor Clifton | 30 | 1 | 2 | 2 | |
4 | Kyle Burroughs | Adam Larsson | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Anthony Cirelli | Bo Horvat | Matt Duchene | 50 | 1 | 2 | 2 |
2 | Philipp Kurashev | Mathew Barzal | Ilya Mikheyev | 50 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Adam Larsson | Jonas Brodin | 50 | 1 | 2 | 2 | |
2 | Damon Severson | Ilya Lyubushkin | 50 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Bo Horvat | Barclay Goodrow | 50 | 1 | 2 | 2 |
2 | Matt Duchene | Philipp Kurashev | 50 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Adam Larsson | Jonas Brodin | 50 | 1 | 2 | 2 |
2 | Damon Severson | Ilya Lyubushkin | 50 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Bo Horvat | 50 | 1 | 2 | 2 | Adam Larsson | Jonas Brodin | 50 | 1 | 2 | 2 |
2 | Matt Duchene | 50 | 1 | 2 | 2 | Damon Severson | Ilya Lyubushkin | 50 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Bo Horvat | Barclay Goodrow | 50 | 1 | 2 | 2 |
2 | Matt Duchene | Philipp Kurashev | 50 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Adam Larsson | Jonas Brodin | 50 | 1 | 2 | 2 |
2 | Damon Severson | Ilya Lyubushkin | 50 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Barclay Goodrow | Bo Horvat | Matt Duchene | Adam Larsson | Jonas Brodin |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Barclay Goodrow | Bo Horvat | Matt Duchene | Adam Larsson | Jonas Brodin |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Taylor Raddysh, Barclay Goodrow, Philipp Kurashev | Taylor Raddysh, Barclay Goodrow | Taylor Raddysh |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Marcus Pettersson, Connor Clifton, Kyle Burroughs | Marcus Pettersson | Marcus Pettersson, Connor Clifton |
Penalty Shots |
---|
Bo Horvat, Matt Duchene, Mathew Barzal, Anthony Cirelli, Taylor Raddysh |
Goalie |
---|
#1 : Tristan Jarry, #2 : Spencer Martin |
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 |
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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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | 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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 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 |
---|---|---|---|---|---|---|
0 | 0 | 0% | 0 | 0 | 0% | 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 |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
0 | 0 | 0 | 0 | 0 | 0 |
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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
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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 | 200 |
Attendance | 0% | 0% | 0% | 0% | 0% |
Attendance PCT | 0% | 0% | 0% | 0% | 0% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
42 | 0 - 0% | 0$ | 0$ | 18000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
0$ | 78,920,000$ | 78,920,000$ | 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$ | 22 | 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$ | 41,736,762$ | 41,736,762$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 126,736,762$ | 126,736,762$ | -20,000,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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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 |
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Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
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2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
Conditional Draft Picks |
Hello all
Disappointing season for us, we didn't make to the playoffs. Twice this season we had 5 game losing streak, so that was too much 🙂and other teams (= who got playoff ticket) were simply better than us.
Already waiting player re-rates for next season to see will team be any better than this year or should we really start to re-build phase.
Good luck to all playoff teams and may the best team win MFHL championship 2024 !!!
Mika / Flyers
New CommentFlyers have still possibilities get ticket to the playoffs. Currently looks like it slowly and gradually slips to far away unless we somehow (?) get boosted (= way more wins than losses) for last 20 regular season games. Based on this year performance, I'm not suprised if our season ends after regular season. Trade deadline changes, leavers: R.Smith, P.Danault and Z.Bogosian, newcomers: B.Goodrow, T.Raddysh, S.Milano, J.Vesey and J.Hamblin.
Mika / Flyers
New CommentHello all,
We are still fighting for place to playoffs. Last 10 games record is 7-3-0 which sounds promising for the rest of the season. All pro players are healthy and no immediate need for roster changes. Upcoming days we have crucial divisional games against Caps, Rangers & Penguins, where we need to grab point/s to keep playoff hopes alive. Matt Duchene is our best point man currently with 46 points (22 goals and 24 assists) and he's not in top 50 players (total points) in MFHL 🤣. That tells something about our "firepower" but on the other hand goalie Tristan Jarry is 8th place based on wins (21), so we trust our defence 🙂.
Mika / Flyers
New CommentFlyers are still in race to playoffs when we have almost played half of the season. Lately we have picked some points to keep our hope alive, but some injuries and #1 goalie T. Jarry condition due to too many consecutive games have raised some concerns about how the second half of season goes. Luckily our backup goalie S.Martin has recovered from injury and we hope to get him back in action in near future. No immediate reason to make any trades, but always open for discussion.
Happy New year to all MFHL GMs and their families !
Mika / Flyers
New CommentHello all,
Our season so far has been disappointment. Currently last place in Goals for (GF) category, only 58 which is just above 2 goals scored per game. On the other hand, goals allowed (GA) is 75 and that's average figure in league. Clearly we have scoring problem and need to think about if we try to fix it now or do long term plan. We have plenty of quality centers in team like Horvat, Danault, Barzal and Cirelli but on wings we are quite thin, only Duchene and Reilly Smith. On defence we made one trade to get it bit younger, moving Orlov and Edmundson for Severson & Pettersson. We are following up other teams announcements about available players and react accordingly if it fits our plan 🙂.
Mika / Flyers
New Comment# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | 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 | 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 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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