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Philadelphia Flyers 0-0-0, 0pts · 14th in Eastern Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 12 | C/RW | 100.00 | 64 | 42 | 93 | 70 | 93 | 87 | 90 | 72 | 84 | 74 | 68 | 64 | 71 | 80 | 74 | 50 | 75 | 0 | 32 | 7,142,857$/2yrs | |||
![]() | 15 | C/RW | 100.00 | 72 | 39 | 89 | 68 | 81 | 75 | 80 | 65 | 82 | 62 | 61 | 69 | 63 | 64 | 66 | 80 | 75 | 0 | 24 | 1,000,000$/1yrs | |||
![]() | 14 | C/LW/RW | 100.00 | 72 | 35 | 82 | 75 | 74 | 83 | 78 | 72 | 65 | 70 | 73 | 64 | 74 | 70 | 71 | 68 | 75 | 0 | 28 | 4,000,000$/1yrs | |||
![]() | 21 | C/LW/RW | 100.00 | 74 | 39 | 76 | 67 | 80 | 82 | 84 | 65 | 78 | 62 | 63 | 79 | 64 | 68 | 66 | 76 | 75 | 0 | 26 | 1,900,000$/1yrs | |||
![]() | 71 | C | 100.00 | 63 | 36 | 72 | 76 | 82 | 89 | 90 | 80 | 79 | 83 | 77 | 67 | 81 | 90 | 82 | 38 | 75 | 0 | 37 | 7,777,000$/1yrs | |||
![]() | 20 | C/LW/RW | 100.00 | 78 | 44 | 78 | 74 | 73 | 82 | 90 | 72 | 82 | 70 | 69 | 63 | 72 | 69 | 71 | 49 | 75 | 0 | 27 | 4,000,000$/3yrs | |||
![]() | 24 | RW | 100.00 | 61 | 36 | 93 | 73 | 81 | 84 | 87 | 72 | 60 | 67 | 70 | 63 | 71 | 64 | 67 | 90 | 75 | 0 | 23 | 2,500,000$/1yrs | |||
![]() | 17 | LW | 100.00 | 67 | 33 | 89 | 75 | 67 | 87 | 85 | 72 | 82 | 71 | 73 | 65 | 74 | 80 | 73 | 52 | 75 | 0 | 32 | 5,750,000$/1yrs | |||
![]() | 44 | C | 100.00 | 82 | 37 | 95 | 71 | 69 | 87 | 89 | 69 | 86 | 73 | 65 | 87 | 68 | 80 | 74 | 38 | 75 | 0 | 31 | 5,000,000$/2yrs | |||
![]() | 11 | C/RW | 100.00 | 74 | 43 | 81 | 65 | 68 | 79 | 89 | 62 | 87 | 60 | 61 | 85 | 62 | 83 | 76 | 23 | 75 | 0 | 35 | 850,000$/1yrs | |||
![]() | 63 | LW | 100.00 | 60 | 34 | 95 | 79 | 68 | 86 | 88 | 77 | 55 | 81 | 68 | 65 | 78 | 64 | 69 | 62 | 75 | 0 | 23 | 3,425,000$/2yrs | |||
![]() | 57 | D | 100.00 | 60 | 39 | 94 | 63 | 82 | 89 | 87 | 61 | 30 | 73 | 58 | 86 | 50 | 79 | 73 | 26 | 75 | 0 | 33 | 3,000,000$/2yrs | |||
![]() | 37 | D | 100.00 | 71 | 39 | 72 | 63 | 76 | 77 | 83 | 59 | 30 | 57 | 55 | 66 | 48 | 68 | 70 | 48 | 75 | 0 | 27 | 950,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/RW | 100.00 | 70 | 35 | 89 | 73 | 76 | 89 | 90 | 72 | 81 | 75 | 69 | 84 | 71 | 87 | 92 | 42 | 75 | 0 | 35 | 4,500,000$/2yrs | |||
![]() | 25 | RW | 100.00 | 87 | 36 | 78 | 63 | 66 | 75 | 71 | 61 | 54 | 57 | 60 | 78 | 61 | 74 | 72 | 30 | 75 | 0 | 31 | 800,000$/1yrs | |||
![]() | 18 | C/LW | 100.00 | 67 | 37 | 90 | 71 | 73 | 84 | 87 | 67 | 78 | 69 | 63 | 76 | 66 | 68 | 70 | 74 | 75 | 0 | 26 | 1,500,000$/1yrs | |||
![]() | 31 | C/RW | 100.00 | 59 | 34 | 95 | 65 | 60 | 82 | 80 | 64 | 61 | 62 | 63 | 60 | 64 | 66 | 68 | 47 | 75 | 0 | 26 | ||||
![]() | 36 | D | 100.00 | 64 | 39 | 80 | 63 | 73 | 90 | 88 | 62 | 30 | 66 | 58 | 61 | 52 | 65 | 67 | 42 | 75 | 0 | 24 | 875,000$/1yrs | |||
![]() | 50 | D | 100.00 | 67 | 44 | 76 | 71 | 74 | 92 | 88 | 73 | 30 | 80 | 69 | 75 | 57 | 67 | 69 | 68 | 75 | 0 | 25 | 6,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 77 | 35 | 83 | 65 | 76 | 91 | 89 | 63 | 30 | 77 | 60 | 86 | 52 | 76 | 72 | 38 | 75 | 0 | 31 | 5,150,000$/4yrs | |||
![]() | 4 | D | 100.00 | 70 | 40 | 74 | 64 | 79 | 76 | 83 | 58 | 30 | 60 | 55 | 59 | 49 | 67 | 69 | 68 | 75 | 0 | 27 | ||||
TEAM AVERAGE | 100.00 | 69 | 38 | 84 | 69 | 75 | 84 | 86 | 68 | 62 | 69 | 65 | 72 | 64 | 73 | 72 | 53 | 75 | 0 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 51 | 100.00 | 93 | 92 | 88 | 75 | 92 | 91 | 93 | 92 | 91 | 93 | 92 | 76 | 85 | 54 | 75 | 0 | 31 | 5,755,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 88 | 83 | 77 | 80 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 85 | 90 | 49 | 75 | 0 | 36 | 1,250,000$/1yrs |
TEAM AVERAGE | 100.00 | 91 | 88 | 83 | 78 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 81 | 88 | 52 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dave Hakstol | 86 | 88 | 87 | 85 | 84 | 78 | 64 | CAN | 56 | 2 | 3,500,000$ |
General Manager |
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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 |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
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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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Projected Total Cap Hit | 78,207,768$ |
Projected Cap Space | 9,792,232$ |
Retains And Buyout Cap Hit | 1,983,000$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brett Howden | C/LW/RW | 26 | 1,900,000$ | 1,900,000$ | RFA | ||||||
Dylan DeMelo ![]() | D | 31 | 5,150,000$ | 5,150,000$ | 5,150,000$ | 5,150,000$ | 5,150,000$ | UFA | |||
Dysin Mayo | D | 27 | 950,000$ | 950,000$ | RFA | ||||||
Evgeni Malkin ![]() | C | 37 | 7,777,000$ | 7,777,000$ | UFA | ||||||
Jacob Larsson ![]() | D | 27 | 0$ | RFA | |||||||
Jaden Schwartz ![]() | LW | 32 | 5,750,000$ | 5,750,000$ | UFA | ||||||
Jake Christiansen ![]() | D | 24 | 875,000$ | 875,000$ | RFA | ||||||
James Reimer ![]() | RW/G | 36 | 1,250,000$ | 1,250,000$ | RFA | ||||||
Jean-Gabriel Pageau ![]() | C | 31 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Jordan Binnington ![]() | D/G | 31 | 5,755,000$ | 5,755,000$ | RFA | ||||||
Josh Archibald | RW | 31 | 800,000$ | 800,000$ | |||||||
Kaapo Kakko | RW | 23 | 2,500,000$ | 2,500,000$ | RFA | ||||||
Kevin Hayes ![]() | C/RW/G | 32 | 7,142,857$ | 7,142,857$ | 7,142,857$ | UFA | |||||
Luke Glendening | C/RW | 35 | 850,000$ | 850,000$ | UFA | ||||||
Matias Maccelli | LW | 23 | 3,425,000$ | 3,425,000$ | 3,425,000$ | RFA | |||||
Matthew Phillips | C/RW | 26 | 0$ | RFA | |||||||
Mikael Backlund ![]() | C/RW/G | 35 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Rasmus Kupari | C/RW/G | 24 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Robby Fabbri | C/LW/RW | 28 | 4,000,000$ | 4,000,000$ | RFA | ||||||
Ross Colton | C/LW/RW | 27 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | |||||
Sam Steel | C/LW | 26 | 1,500,000$ | 1,500,000$ | RFA | ||||||
Sean Durzi | D | 25 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | RFA | |||
Trevor van Riemsdyk | D | 33 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA |
Forward Lines | |||||||
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Defensive Pairings | |||||||
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1st Power Play Unit | |||||||
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2nd Power Play Unit | |||||||
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Goalies | |||||||
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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 |
# | VS Team | 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 | GF% | SH% | SV% | PDO | PDOBRK |
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Total | 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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
Puck Time | |
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Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
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With Puck | 0 |
Without Puck | 0 |
Faceoffs | |
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Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
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1st Period | 0.0 | 9.57 |
2nd Period | 0.0 | 20.31 |
3rd Period | 0.0 | 30.68 |
Overtime | 0.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
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PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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Shots For | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
78,924,857$ | 1,983,000$ | 78,207,768$ | 9,792,232$ |
Arena | Goal Horn | About us | |
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![]() | Name | Wells Fargo Center | |
City | Philadelphia | ||
Capacity | 19519 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5519 | 3000 | 4000 | 1000 |
Ticket Price | 140$ | 112$ | 75$ | 55$ | 235$ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 19519 | 150 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
78,924,857$ | 78,924,857$ | 0$ | 1,983,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 397,004$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 192 | 429,296$ | 82,424,832$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
83,440,977$ | 78,207,768$ | 312,666,131$ | 229,225,154$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
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 | Lien |
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Artur Cholach | 2021 | 209 | |||
Artyom Shchuchinov | 2024 | 160 | |||
Brent Johnson | 2021 | 78 | |||
Cam Squires | 2023 | 124 | |||
Carter Yakemchuk | 2024 | 12 | |||
Filip Nordberg | 2022 | 126 | |||
Gabe Perreault | 2023 | 10 | |||
Hiroki Gojsic | 2024 | 88 | |||
Hugo Laring | 2024 | 204 | |||
Jake Boltmann | 2020 | 117 | |||
Janne Naukkarinen | 2024 | 195 | |||
Jayson Shaugabay | 2023 | 129 | |||
Jesse Kiiskinen | 2023 | 72 | |||
Juha Jatkola | 2023 | 144 | |||
Kaden Shahan | 2024 | 218 | |||
Kalem Parker | 2023 | 137 | |||
Kevin He | 2024 | 105 | |||
Markus Loponen | 2024 | 145 | |||
Matthew Van Blaricom | 2024 | 131 | |||
Matvei Shuravin | 2024 | 60 | |||
Max Lundgren | 2023 | 154 | |||
Maxim Beryozkin | 2020 | 210 | |||
Michael La Starza | 2022 | 147 | |||
Miko Matikka | 2022 | 104 | |||
Nate Misskey | 2024 | 104 | |||
Quinton Burns | 2023 | 106 | |||
Riley Patterson | 2024 | 108 | |||
Ryan Chesley | 2022 | 30 | |||
Stephen Peck | 2023 | 202 | |||
Tarin Smith | 2024 | 76 | |||
Teodor Munther | 2024 | 220 | |||
Tory Pitner | 2024 | 92 | |||
William Von Barnekow | 2021 | 177 |
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