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Full Scoreboard »» |
| Philadelphia Flyers 3-6-0, 6pts · 14th in Eastern |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Steven Stamkos (C) | 91 | C/LW/RW | 99.00 | 67 | 32 | 82 | 73 | 71 | 86 | 90 | 74 | 81 | 73 | 81 | 59 | 78 | 85 | 99 | 0 | 37 | 85 | 35 | 7,500,000$/2yrs | |||
Mika Zibanejad (A) | 93 | C/RW | 99.00 | 62 | 33 | 88 | 76 | 80 | 88 | 90 | 73 | 84 | 78 | 73 | 76 | 73 | 80 | 78 | 0 | 37 | 84 | 32 | 8,500,000$/3yrs | |||
Anthony Cirelli | 71 | C/RW | 99.00 | 58 | 32 | 87 | 76 | 74 | 86 | 90 | 72 | 87 | 73 | 77 | 77 | 74 | 72 | 71 | 0 | 37 | 83 | 28 | 5,500,000$/7yrs | |||
Adam Henrique | 0 | C/LW | 100.00 | 68 | 34 | 88 | 65 | 76 | 82 | 90 | 65 | 86 | 66 | 69 | 82 | 67 | 85 | 84 | 0 | 37 | 80 | 35 | 4,000,000$/2yrs | |||
Gustav Nyquist | 0 | LW/RW | 100.00 | 61 | 32 | 94 | 68 | 70 | 85 | 90 | 69 | 59 | 74 | 69 | 64 | 69 | 85 | 85 | 0 | 37 | 80 | 36 | 4,500,000$/1yrs | |||
Nick Paul | 0 | C/LW/RW | 100.00 | 69 | 35 | 87 | 69 | 89 | 84 | 90 | 68 | 83 | 66 | 74 | 63 | 71 | 76 | 74 | 0 | 37 | 79 | 30 | 3,150,000$/4yrs | |||
Brock McGinn | 0 | LW/RW | 100.00 | 82 | 32 | 99 | 61 | 73 | 74 | 73 | 62 | 57 | 61 | 65 | 84 | 63 | 78 | 78 | 0 | 37 | 77 | 31 | 1,250,000$/1yrs | |||
Jason Dickinson | 0 | C/LW | 100.00 | 76 | 38 | 80 | 62 | 80 | 83 | 87 | 63 | 86 | 61 | 68 | 83 | 66 | 75 | 73 | 0 | 37 | 77 | 30 | 2,500,000$/2yrs | |||
Mathieu Joseph | 21 | C/LW/RW | 100.00 | 76 | 34 | 79 | 62 | 74 | 80 | 85 | 62 | 60 | 66 | 62 | 76 | 62 | 72 | 70 | 0 | 37 | 76 | 28 | 2,950,000$/1yrs | |||
Joel Farabee | 0 | LW/RW | 100.00 | 68 | 37 | 85 | 68 | 72 | 82 | 90 | 64 | 59 | 66 | 68 | 61 | 66 | 67 | 65 | 0 | 37 | 76 | 25 | 5,000,000$/3yrs | |||
Casey Cizikas | 0 | C | 100.00 | 81 | 37 | 85 | 55 | 73 | 78 | 89 | 59 | 81 | 61 | 62 | 76 | 60 | 83 | 81 | 0 | 34 | 74 | 34 | 2,500,000$/2yrs | |||
Kasperi Kapanen | 0 | LW/RW | 100.00 | 69 | 33 | 92 | 61 | 77 | 78 | 87 | 59 | 60 | 62 | 60 | 64 | 59 | 73 | 72 | 0 | 37 | 73 | 29 | 2,250,000$/2yrs | |||
Adam Fox (A) | 23 | D | 99.00 | 62 | 32 | 84 | 82 | 70 | 95 | 88 | 75 | 30 | 86 | 68 | 77 | 72 | 71 | 70 | 0 | 37 | 89 | 27 | 9,500,000$/4yrs | |||
Brent Burns | 0 | D | 100.00 | 58 | 34 | 90 | 64 | 93 | 91 | 90 | 63 | 30 | 70 | 61 | 74 | 62 | 93 | 92 | 0 | 37 | 81 | 40 | 3,000,000$/1yrs | |||
Gustav Forsling | 0 | D | 100.00 | 71 | 34 | 87 | 66 | 73 | 94 | 90 | 65 | 30 | 69 | 64 | 79 | 65 | 74 | 72 | 0 | 37 | 81 | 29 | 6,000,000$/6yrs | |||
Justin Faulk | 0 | D | 98.18 | 70 | 35 | 83 | 68 | 82 | 93 | 86 | 65 | 30 | 73 | 56 | 74 | 61 | 81 | 79 | 0 | 28 | 81 | 33 | 6,200,000$/1yrs | |||
Brenden Dillon | 0 | D | 100.00 | 86 | 54 | 68 | 55 | 90 | 87 | 90 | 59 | 30 | 62 | 58 | 74 | 59 | 83 | 80 | 0 | 36 | 76 | 34 | 2,250,000$/3yrs | |||
Luke Schenn | 0 | D | 100.00 | 97 | 50 | 79 | 55 | 88 | 81 | 89 | 54 | 30 | 57 | 53 | 74 | 53 | 85 | 83 | 0 | 32 | 74 | 35 | 1,500,000$/2yrs | |||
Carson Soucy | 0 | D | 100.00 | 74 | 34 | 82 | 55 | 86 | 85 | 83 | 55 | 30 | 59 | 57 | 71 | 56 | 76 | 75 | 0 | 33 | 73 | 31 | 1,500,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 99.68 | 71 | 36 | 85 | 65 | 78 | 85 | 88 | 65 | 58 | 68 | 66 | 73 | 65 | 79 | 78 | 0 | 36 | 79 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Connor Hellebuyck | 0 | 98.00 | 89 | 95 | 85 | 85 | 97 | 85 | 95 | 94 | 94 | 97 | 95 | 80 | 84 | 0 | 35 | 94 | 32 | 7,500,000$/4yrs |
Anton Forsberg | 0 | 100.00 | 76 | 81 | 75 | 79 | 81 | 74 | 82 | 87 | 81 | 87 | 82 | 79 | 84 | 0 | 40 | 85 | 32 | 1,500,000$/3yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 99.00 | 83 | 88 | 80 | 82 | 89 | 80 | 89 | 91 | 88 | 92 | 89 | 80 | 84 | 0 | 38 | 90 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Drew Bannister | 80 | 85 | 80 | 95 | 74 | 70 | 77 | CAN | 51 | 4 | 1,000,000$ |
| General Manager | Pierre-Etienne Jobin |
|---|
| 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 | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Anthony Cirelli | 71 | C/RW | 9 | 6 | 9 | 15 | 6 | 2 | 0 | 6 | 28 | 13 | 24 | 21.43% | 2 | 20.35 | 0 | 4 | 4 | 40 | 0 | 0 | 0 | 10 | 0 | 0 | 53.72% | 242 | 0 | 0 | 0 | 0 | 1.64 | 0 | 0 | |
| 2 | Mika Zibanejad | 93 | C/RW | 9 | 3 | 6 | 9 | 3 | 6 | 0 | 13 | 36 | 9 | 21 | 8.33% | 0 | 20.90 | 1 | 1 | 2 | 42 | 0 | 0 | 0 | 0 | 1 | 0 | 47.37% | 95 | 0 | 0 | 0 | 0 | 0.96 | 0 | 0 | |
| 3 | Gustav Forsling | 0 | D | 9 | 4 | 3 | 7 | -6 | 14 | 0 | 18 | 24 | 4 | 14 | 16.67% | 5 | 19.09 | 2 | 1 | 3 | 34 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | |
| 4 | Steven Stamkos | 91 | C/LW/RW | 9 | 5 | 2 | 7 | 3 | 10 | 0 | 23 | 30 | 7 | 18 | 16.67% | 0 | 20.71 | 2 | 0 | 2 | 42 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 10 | 0 | 0 | 0 | 1 | 0.75 | 0 | 0 | |
| 5 | Adam Fox | 23 | D | 9 | 0 | 6 | 6 | -1 | 2 | 0 | 20 | 18 | 4 | 13 | 0.00% | 12 | 25.22 | 0 | 2 | 2 | 40 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
| 6 | Brent Burns | 0 | D | 9 | 0 | 5 | 5 | -5 | 4 | 0 | 5 | 14 | 4 | 8 | 0.00% | 10 | 20.58 | 0 | 2 | 2 | 40 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
| 7 | Adam Henrique | 0 | C/LW | 9 | 1 | 3 | 4 | -1 | 2 | 0 | 12 | 21 | 3 | 17 | 4.76% | 7 | 17.26 | 0 | 1 | 1 | 23 | 0 | 0 | 0 | 37 | 0 | 0 | 52.99% | 251 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
| 8 | Brenden Dillon | 0 | D | 9 | 2 | 2 | 4 | 6 | 23 | 5 | 21 | 5 | 1 | 0 | 40.00% | 12 | 15.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
| 9 | Brock McGinn | 0 | LW/RW | 9 | 2 | 2 | 4 | 0 | 4 | 0 | 5 | 16 | 4 | 7 | 12.50% | 0 | 11.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | |
| 10 | Gustav Nyquist | 0 | LW/RW | 9 | 3 | 1 | 4 | -2 | 0 | 0 | 3 | 26 | 5 | 10 | 11.54% | 0 | 14.91 | 2 | 0 | 2 | 34 | 0 | 0 | 0 | 0 | 1 | 0 | 41.18% | 17 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
| 11 | Nick Paul | 0 | C/LW/RW | 9 | 1 | 2 | 3 | -3 | 0 | 0 | 5 | 20 | 5 | 9 | 5.00% | 0 | 14.69 | 1 | 1 | 2 | 35 | 0 | 0 | 0 | 0 | 0 | 0 | 45.45% | 66 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 12 | Casey Cizikas | 0 | C | 9 | 0 | 2 | 2 | -3 | 7 | 5 | 3 | 13 | 2 | 5 | 0.00% | 0 | 10.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 54.55% | 110 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 13 | Jason Dickinson | 0 | C/LW | 9 | 0 | 2 | 2 | -2 | 8 | 0 | 19 | 17 | 7 | 21 | 0.00% | 3 | 15.54 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 28 | 0 | 0 | 33.33% | 9 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
| 14 | Justin Faulk | 0 | D | 6 | 0 | 2 | 2 | 2 | 0 | 0 | 6 | 9 | 4 | 0 | 0.00% | 5 | 20.11 | 0 | 1 | 1 | 22 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 15 | Kasperi Kapanen | 0 | LW/RW | 9 | 1 | 0 | 1 | -3 | 0 | 0 | 2 | 4 | 2 | 4 | 25.00% | 3 | 8.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 44.44% | 9 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
| 16 | Luke Schenn | 0 | D | 10 | 0 | 1 | 1 | 3 | 22 | 10 | 25 | 8 | 2 | 2 | 0.00% | 7 | 15.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | |
| 17 | Carson Soucy | 0 | D | 3 | 0 | 1 | 1 | 4 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 1 | 16.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 18 | Joel Farabee | 0 | LW/RW | 9 | 0 | 1 | 1 | 1 | 0 | 0 | 2 | 6 | 7 | 6 | 0.00% | 0 | 9.79 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 77.78% | 9 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 19 | Mathieu Joseph | 21 | C/LW/RW | 9 | 0 | 0 | 0 | -2 | 8 | 0 | 12 | 10 | 2 | 9 | 0.00% | 2 | 9.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 77.78% | 9 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 163 | 28 | 50 | 78 | 0 | 112 | 20 | 201 | 306 | 85 | 188 | 9.15% | 69 | 16.08 | 8 | 13 | 21 | 381 | 0 | 0 | 0 | 238 | 3 | 0 | 52.11% | 831 | 0 | 0 | 0 | 1 | 0.60 | 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 |
| # | 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 | Connor Hellebuyck | 9 | 3 | 6 | 0 | 0.897 | 2.96 | 486 | 0 | 0 | 24 | 234 | 0 | 0 | 0 | 0.000 | 0 | 9 | 0 | 0 | 1 | 1 | |
| 2 | Anton Forsberg | 1 | 0 | 0 | 0 | 0.966 | 1.18 | 51 | 0 | 0 | 1 | 29 | 0 | 0 | 0 | 0.000 | 0 | 0 | 9 | 0 | 0 | 1 | |
| Team Total or Average | 10 | 3 | 6 | 0 | 0.905 | 2.79 | 538 | 0 | 0 | 25 | 263 | 0 | 0 | 0 | 0.000 | 0 | 9 | 9 | 0 | 1 | 2 |
| Projected Total Cap Hit | 88,514,075$ |
| Projected Cap Space | 6,985,925$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 10,110,415$ |
| Players In Salary Cap | 22 |
| LTIR Players | 0 |
| Flyers Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fox ![]() | D | 27 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||
Adam Henrique ![]() | C/LW | 35 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Anthony Cirelli ![]() | C/RW | 28 | 5,500,000$ | 5,500,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA |
| Anton Forsberg | G | 32 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Brenden Dillon ![]() | D | 34 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | ||||
Brent Burns ![]() | D | 40 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Brock McGinn | LW/RW | 31 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Carson Soucy ![]() | D | 31 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Casey Cizikas ![]() | C | 34 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
| Connor Hellebuyck | G | 32 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | |||
Gustav Forsling ![]() | D | 29 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |
Gustav Nyquist ![]() | LW/RW | 36 | 4,500,000$ | 4,500,000$ | UFA | ||||||
Jason Dickinson ![]() | C/LW | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Joel Farabee ![]() | LW/RW | 25 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||||
Justin Faulk ![]() | D | 33 | 6,200,000$ | 6,200,000$ | UFA | ||||||
Kasperi Kapanen ![]() | LW/RW | 29 | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||||
Luke Schenn ![]() | D | 35 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Mathieu Joseph ![]() | C/LW/RW | 28 | 2,950,000$ | 2,950,000$ | UFA | ||||||
Mika Zibanejad ![]() | C/RW | 32 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | ||||
Nick Paul ![]() | C/LW/RW | 30 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | |||
Steven Stamkos ![]() | C/LW/RW | 35 | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alexandar Georgiev | G | 29 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Amir Miftakhov | G | 25 | 775,000$ | 775,000$ | |||||||
Andrew Agozzino | C/LW | 34 | 775,000$ | 775,000$ | UFA | ||||||
Atro Leppanen | D | 26 | 975,000$ | 975,000$ | |||||||
Brady Stonehouse | LW/RW | 21 | 845,000$ | 845,000$ | RFA | ||||||
Brandon Halverson | G | 29 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Curtis Douglas | C/LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Derrick Pouliot | D | 31 | 850,000$ | 850,000$ | UFA | ||||||
Garin Bjorklund | G | 23 | 775,000$ | 775,000$ | RFA | ||||||
Hunter Drew | D | 27 | 800,000$ | 800,000$ | 800,000$ | ||||||
Jacob Quillan | C/LW | 23 | 875,000$ | 875,000$ | RFA | ||||||
Jeff Malott | LW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Jeremie Biakabutuka | D | 23 | 825,000$ | 825,000$ | RFA | ||||||
Jesper Boqvist | C/LW/RW | 26 | 1,250,000$ | 1,250,000$ | |||||||
Jesse Pulkkinen | D | 20 | 880,833$ | 880,833$ | 880,833$ | 880,833$ | RFA | ||||
Joni Jurmo | D | 23 | 850,000$ | 850,000$ | RFA | ||||||
Josh Davies | C/LW | 21 | 828,000$ | 828,000$ | 828,000$ | RFA | |||||
Lane Pederson | C/RW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Liam McLinskey | LW/RW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Marc Gatcomb | C/RW | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Mason Shaw | C/LW | 26 | 1,000,000$ | 1,000,000$ | |||||||
Matthew Benning | D | 31 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Matvei Petrov | LW | 22 | 803,333$ | 803,333$ | RFA | ||||||
Maxim Cajkovic | LW/RW | 24 | 0$ | RFA | |||||||
Milan Lucic | LW | 37 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Mitchell Stephens | C | 28 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | UFA | ||||
Nicholas Abruzzese | C/LW | 26 | 850,000$ | 850,000$ | |||||||
Nikita Nesterenko | C/LW | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Noah Laba | C/RW | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Parker Bell | LW/RW | 22 | 857,000$ | 857,000$ | RFA | ||||||
Robin Salo | D | 27 | 850,000$ | 850,000$ | |||||||
Ryan Ufko | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
T.J. Tynan | C/RW | 33 | 800,000$ | 800,000$ | UFA | ||||||
Trevor Carrick | D | 31 | 775,000$ | 775,000$ | UFA | ||||||
Tucker Robertson | C | 22 | 870,000$ | 870,000$ | RFA | ||||||
Vladislav Kolyachonok | D | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
Will Cranley | G | 23 | 775,000$ | 775,000$ | RFA | ||||||
Zach Dean | C | 22 | 852,000$ | 852,000$ | RFA |
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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 36 | 12 | 14 | 10 | 0 | 33 | 4 | 4 | 31 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 181 | 352 | 51.42% | 173 | 334 | 51.80% | 79 | 145 | 54.48% | 25 | 17 | 21 | 7 | 12 | 7 | 40.0% | 5.6% | 90.9% | 96.5 | Unlucky | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 56 | 19 | 22 | 15 | 0 | 34 | 7 | 6 | 21 | 7 | 1 | 14.29% | 3 | 0 | 100.00% | 0 | 181 | 352 | 51.42% | 173 | 334 | 51.80% | 79 | 145 | 54.48% | 28 | 21 | 19 | 7 | 12 | 6 | 80.0% | 8.9% | 97.1% | 106.0 | Unlucky | |
| 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 33 | 13 | 10 | 10 | 0 | 28 | 7 | 4 | 18 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 181 | 352 | 51.42% | 173 | 334 | 51.80% | 79 | 145 | 54.48% | 25 | 17 | 22 | 7 | 12 | 6 | 33.3% | 3.0% | 92.9% | 95.9 | DULL | |
| 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 28 | 9 | 10 | 9 | 0 | 33 | 10 | 16 | 26 | 3 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 181 | 352 | 51.42% | 173 | 334 | 51.80% | 79 | 145 | 54.48% | 21 | 14 | 25 | 8 | 12 | 6 | 75.0% | 10.7% | 97.0% | 107.7 | LUCKY | |
| 5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 7 | 12 | 0 | 0 | 2 | 1 | 2 | 0 | 54 | 21 | 14 | 19 | 0 | 65 | 25 | 31 | 47 | 8 | 2 | 25.00% | 12 | 2 | 83.33% | 0 | 181 | 352 | 51.42% | 173 | 334 | 51.80% | 79 | 145 | 54.48% | 48 | 32 | 45 | 15 | 25 | 12 | 33.3% | 9.3% | 87.7% | 97.0 | FUN | |
| 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 3 | 2 | 1 | 0 | 31 | 12 | 8 | 11 | 0 | 18 | 5 | 8 | 23 | 5 | 3 | 60.00% | 4 | 0 | 100.00% | 0 | 181 | 352 | 51.42% | 173 | 334 | 51.80% | 79 | 145 | 54.48% | 25 | 17 | 19 | 7 | 14 | 7 | 75.0% | 19.4% | 94.4% | 113.8 | LUCKY | |
| 7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 3 | 0 | 1 | 0 | 37 | 15 | 11 | 11 | 0 | 27 | 2 | 9 | 18 | 5 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 181 | 352 | 51.42% | 173 | 334 | 51.80% | 79 | 145 | 54.48% | 26 | 19 | 19 | 6 | 13 | 7 | 50.0% | 10.8% | 81.5% | 92.3 | FUN | |
| 8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 27 | 7 | 15 | 5 | 0 | 25 | 7 | 23 | 19 | 6 | 2 | 33.33% | 4 | 1 | 75.00% | 0 | 181 | 352 | 51.42% | 173 | 334 | 51.80% | 79 | 145 | 54.48% | 26 | 18 | 20 | 7 | 12 | 7 | 0.0% | 7.4% | 84.0% | 91.4 | Unlucky | |
| _Vs Division | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 2 | 0.333 | 10 | 19 | 29 | 0 | 0 | 5 | 2 | 3 | 0 | 126 | 47 | 43 | 36 | 0 | 89 | 16 | 19 | 57 | 17 | 1 | 5.88% | 6 | 1 | 83.33% | 0 | 181 | 352 | 51.42% | 173 | 334 | 51.80% | 79 | 145 | 54.48% | 80 | 57 | 61 | 21 | 38 | 20 | 56.3% | 7.9% | 91.0% | 98.9 | Unlucky | |
| _Vs Conference | 6 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 17 | 19 | -2 | 2 | 0.167 | 17 | 30 | 47 | 0 | 0 | 8 | 3 | 6 | 0 | 216 | 80 | 71 | 65 | 0 | 187 | 45 | 54 | 135 | 29 | 3 | 10.34% | 20 | 3 | 85.00% | 0 | 181 | 352 | 51.42% | 173 | 334 | 51.80% | 79 | 145 | 54.48% | 155 | 107 | 128 | 44 | 76 | 39 | 46.7% | 7.9% | 89.8% | 97.7 | Unlucky | |
| _Since Last GM Reset | 9 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 28 | 25 | 3 | 6 | 0.333 | 28 | 50 | 78 | 0 | 0 | 12 | 8 | 8 | 0 | 302 | 108 | 104 | 90 | 0 | 263 | 67 | 101 | 203 | 43 | 8 | 18.60% | 36 | 4 | 88.89% | 0 | 181 | 352 | 51.42% | 173 | 334 | 51.80% | 79 | 145 | 54.48% | 229 | 158 | 194 | 67 | 116 | 60 | 48.8% | 9.3% | 90.5% | 99.8 | FUN | |
| Total | 9 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 28 | 25 | 3 | 6 | 0.333 | 28 | 50 | 78 | 0 | 0 | 12 | 8 | 8 | 0 | 302 | 108 | 104 | 90 | 0 | 263 | 67 | 101 | 203 | 43 | 8 | 18.60% | 36 | 4 | 88.89% | 0 | 181 | 352 | 51.42% | 173 | 334 | 51.80% | 79 | 145 | 54.48% | 229 | 158 | 194 | 67 | 116 | 60 | 48.8% | 9.3% | 90.5% | 99.8 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 25 |
| Neutral Zone | 12 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 352 |
| Neutral Zone Start | 145 |
| Defensive Zone Start | 334 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 28 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 433 |
| Faceoffs Lost | 398 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 12.0 | 9.57 |
| 2nd Period | 23.6 | 20.31 |
| 3rd Period | 33.6 | 30.68 |
| Overtime | 33.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.3 | 0.64 |
| 2nd Period | 2.2 | 1.65 |
| 3rd Period | 3.1 | 2.67 |
| Overtime | 3.1 | 2.83 |
| Even Strenght Goal | 20 |
|---|---|
| PP Goal | 8 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 3 | 0 |
| Lost | 3 | 3 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 43 |
|---|---|
| PP Goal | 8 |
| PK Attempt | 36 |
| PK Goal Against | 4 |
| Home | |
|---|---|
| Shots For | 33.6 |
| Shots Against | 29.2 |
| Goals For | 3.1 |
| Goals Against | 2.8 |
| Hits | 22.6 |
| Shots Blocked | 7.4 |
| Pim | 11.2 |
| Date | Matchup | Result | Detail | |||||||||||
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| 2025-10-10 | @ | Flyers2,Panthers3 | RECAP | |||||||||||
| 2025-10-12 | @ | Flyers1,Hurricanes2 | RECAP | |||||||||||
| 2025-10-14 | @ | Panthers5,Flyers3 | RECAP | |||||||||||
| 2025-10-17 | @ | Jets1,Flyers6 | RECAP | |||||||||||
| 2025-10-19 | @ | Wild1,Flyers3 | RECAP | |||||||||||
| 2025-10-21 | @ | Kraken4,Flyers2 | RECAP | |||||||||||
| 2025-10-24 | @ | Flyers2,Senators3 | RECAP | |||||||||||
| 2025-10-26 | @ | Islanders1,Flyers5 | RECAP | |||||||||||
| 2025-10-29 | @ | Penguins5,Flyers4 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 89,800,000$ | 0$ | 88,514,075$ | 5,700,000$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Wells Fargo Center | |
| City | Philadelphia | ||
| Capacity | 18000 | ||
| Season Ticket Holders | 40% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
| Attendance | 35168 | 28613 | 11537 | 22634 | 5400 |
| Attendance PCT | 97.69% | 95.38% | 96.14% | 94.31% | 90.00% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 35 | 17225 - 95.70% | 1,578,032$ | 9,468,191$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 89,800,000$ | 89,800,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 10,368,228$ | 461,198$ | 10,110,415$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 55,231,114$ | 170 | 472,917$ | 80,395,890$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 83,848,348$ | 89,800,000$ | 58,958,128$ | 30,340,894$ |
Rookie
Injured
Cold Streak
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| 2026 | ||||||||
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| 2028 | ||||||||
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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 | Lien |
|---|---|---|---|---|---|
| Aidan Hreschuk | 2021 | 82 | |||
| Aidan Park | 2025 | 186 | |||
| Alexander Rykov | 2023 | 90 | |||
| Alexandre Blais | 2024 | 95 | |||
| Anthony Allain-Samake | 2025 | 160 | |||
| Arseny Koromyslov | 2022 | 143 | |||
| Artyom Vilchinsky | 2025 | 201 | |||
| Arvid Bergstrom | 2023 | 219 | |||
| Arvid Drott | 2025 | 62 | |||
| Beckett Hendrickson | 2023 | 135 | |||
| Brandon Lisowsky | 2022 | 167 | |||
| Brodie Ziemer | 2024 | 80 | |||
| Cam Schmidt | 2025 | 26 | |||
| Charlie Elick | 2024 | 27 | |||
| Chase McLane | |||||
| Colton Roberts | 2024 | 117 | |||
| Conrad Fondrk | 2025 | 73 | |||
| Dakota Rheaume-Mullen | 2025 | 199 | |||
| Daniil Prokhorov | 2025 | 66 | |||
| Danill Ustinkov | 2024 | 206 | |||
| Eric Nilson | 2025 | 45 | |||
| Frankie Marelli | 2024 | 210 | |||
| Gustav Hillstrom | 2025 | 112 | |||
| Herman Traff | 2024 | 102 | |||
| Ilya Pautov | 2024 | 174 | |||
| Jacob Battaglia | 2024 | 78 | |||
| Jake Boltmann | |||||
| Jake Karabela | 2022 | 122 | |||
| James Fisher | 2022 | 218 | |||
| Jordan Gavin | 2025 | 202 | |||
| Juho Markkanen | 2020 | 181 | |||
| Justin Janicke | 2021 | 183 | |||
| Kasper Puutio | 2020 | 119 | |||
| Kieron Walton | 2024 | 171 | |||
| Kirill Gerasimyuk | 2021 | 119 | |||
| Kirill Zarubin | 2024 | 87 | |||
| Landon Sim | 2022 | 208 | |||
| Luka Radivojevic | 2025 | 58 | |||
| Marcus Davidsson | 6.0 - 5.0 | ||||
| Matthew Soto | 2023 | 195 | |||
| Maxim Agafonov | 2025 | 154 | |||
| Melvin Fernstrom | 2024 | 98 | |||
| Michal Svrcek | 2025 | 122 | |||
| Nikita Artamonov | 2024 | 36 | |||
| Oskar Vuollet | 2024 | 141 | |||
| Otto Salin | 2022 | 154 | |||
| Pavel Moysevich | 2024 | 100 | |||
| Riley Heidt | 2023 | 27 | |||
| Scott Ratzlaff | 2023 | 123 | |||
| Sebastian Soini | 2024 | 146 | |||
| Simon Forsmark | 2022 | 88 | |||
| Simon Zether | 2024 | 103 | |||
| Tanner Howe | 2024 | 46 | |||
| Tomas Lavoie | 2024 | 92 | |||
| Tomas Pobezal | 2025 | 195 | |||
| Tomas Poletin | 2025 | 119 | |||
| Topias Hynninen | 2024 | 215 | |||
| Tory Pitner | 2024 | 182 | |||
| Tuomas Uronen | 2023 | 171 | |||
| Ty Smilanic | 2020 | 57 | |||
| Yaroslav Likhachyov | 2019 | 197 | |||
| Zeb Forsfjall | 2023 | 140 |
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