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Full Scoreboard »» |
| Philadelphia Flyers 14-12-3, 31pts · 10th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
David Tomasek | 0 | C/RW | 100.00 | 81 | 40 | 69 | 70 | 75 | 79 | 88 | 70 | 45 | 73 | 74 | 70 | 73 | 74 | 71 | 0 | 38 | 81 | 29 | 1,200,000$/1yrs | |||
Gustav Nyquist | 0 | LW/RW | 100.00 | 61 | 32 | 94 | 68 | 70 | 85 | 90 | 69 | 59 | 74 | 69 | 64 | 69 | 85 | 85 | 0 | 46 | 80 | 36 | 4,500,000$/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 | 46 | 79 | 30 | 3,150,000$/4yrs | |||
Warren Foegele | 0 | LW/RW | 100.00 | 68 | 34 | 85 | 69 | 79 | 81 | 90 | 66 | 59 | 66 | 72 | 67 | 69 | 74 | 72 | 0 | 28 | 78 | 29 | 5,500,000$/3yrs | |||
Sean Couturier | 0 | C | 100.00 | 65 | 37 | 84 | 66 | 85 | 85 | 89 | 65 | 89 | 71 | 66 | 67 | 66 | 80 | 78 | 0 | 22 | 78 | 33 | 7,750,000$/5yrs | |||
Jason Dickinson | 0 | C/LW | 100.00 | 76 | 38 | 80 | 62 | 80 | 83 | 87 | 63 | 86 | 61 | 68 | 83 | 66 | 75 | 73 | 0 | 46 | 77 | 30 | 2,500,000$/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 | 46 | 76 | 28 | 2,950,000$/1yrs | |||
Ondrej Palat | 0 | LW/RW | 100.00 | 73 | 34 | 88 | 61 | 75 | 80 | 88 | 63 | 57 | 65 | 66 | 66 | 64 | 83 | 81 | 0 | 24 | 76 | 34 | 5,500,000$/1yrs | |||
Joel Farabee | 0 | LW/RW | 100.00 | 68 | 37 | 85 | 68 | 72 | 82 | 90 | 64 | 59 | 66 | 68 | 61 | 66 | 67 | 65 | 0 | 46 | 76 | 25 | 5,000,000$/3yrs | |||
Casey Cizikas | 0 | C | 100.00 | 81 | 37 | 85 | 55 | 73 | 78 | 89 | 59 | 81 | 61 | 62 | 76 | 60 | 83 | 81 | 0 | 43 | 74 | 34 | 2,500,000$/2yrs | |||
Connor Brown | 0 | LW/RW | 100.00 | 58 | 32 | 95 | 59 | 71 | 78 | 89 | 58 | 59 | 62 | 62 | 70 | 60 | 78 | 77 | 0 | 28 | 73 | 31 | 4,000,000$/4yrs | |||
Kasperi Kapanen | 0 | LW/RW | 100.00 | 69 | 33 | 92 | 61 | 77 | 78 | 87 | 59 | 60 | 62 | 60 | 64 | 59 | 73 | 72 | 0 | 46 | 73 | 29 | 2,250,000$/2yrs | |||
Gustav Forsling | 0 | D | 99.00 | 71 | 34 | 87 | 66 | 73 | 94 | 90 | 65 | 30 | 69 | 64 | 79 | 65 | 74 | 72 | 0 | 46 | 81 | 29 | 6,000,000$/6yrs | |||
Brenden Dillon | 0 | D | 98.00 | 86 | 45 | 80 | 55 | 90 | 86 | 90 | 64 | 30 | 61 | 58 | 87 | 61 | 84 | 82 | 0 | 45 | 79 | 35 | 2,250,000$/3yrs | |||
Sam Malinski | 0 | D | 100.00 | 59 | 32 | 96 | 62 | 73 | 80 | 90 | 57 | 30 | 70 | 58 | 61 | 58 | 71 | 70 | 0 | 28 | 75 | 27 | 2,500,000$/5yrs | |||
Luke Schenn | 0 | D | 100.00 | 97 | 50 | 79 | 55 | 88 | 81 | 89 | 54 | 30 | 57 | 53 | 74 | 53 | 85 | 83 | 0 | 44 | 74 | 36 | 1,500,000$/2yrs | |||
Scott Perunovich | 0 | D | 100.00 | 61 | 32 | 91 | 62 | 67 | 82 | 79 | 58 | 30 | 67 | 54 | 60 | 56 | 69 | 68 | 0 | 25 | 74 | 27 | 1,750,000$/3yrs | |||
Carson Soucy | 0 | D | 100.00 | 74 | 34 | 82 | 55 | 86 | 85 | 83 | 55 | 30 | 59 | 57 | 71 | 56 | 76 | 75 | 0 | 20 | 73 | 31 | 1,500,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Brock McGinn | 0 | LW/RW | 100.00 | 82 | 32 | 99 | 61 | 73 | 74 | 73 | 62 | 57 | 61 | 65 | 84 | 63 | 78 | 78 | 0 | 45 | 77 | 31 | 1,250,000$/1yrs | |||
Erik Gustafsson | 0 | D | 100.00 | 64 | 34 | 86 | 59 | 76 | 84 | 86 | 56 | 30 | 68 | 58 | 55 | 57 | 80 | 79 | 0 | 25 | 75 | 33 | 1,500,000$/2yrs | |||
| TEAM AVERAGE | 99.85 | 72 | 36 | 86 | 62 | 77 | 82 | 87 | 62 | 53 | 65 | 64 | 70 | 63 | 77 | 75 | 0 | 37 | 76 | |||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
John Gibson | 0 | 95.00 | 76 | 87 | 77 | 84 | 82 | 76 | 84 | 90 | 85 | 89 | 84 | 79 | 83 | 0 | 24 | 87 | 32 | 6,400,000$/2yrs |
Anton Forsberg | 0 | 100.00 | 76 | 81 | 75 | 79 | 81 | 74 | 82 | 87 | 81 | 87 | 82 | 79 | 84 | 0 | 53 | 85 | 33 | 1,500,000$/3yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 97.50 | 76 | 84 | 76 | 82 | 82 | 75 | 83 | 89 | 83 | 88 | 83 | 79 | 84 | 0 | 39 | 86 | |||
| 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 | Sean Couturier | 0 | C | 32 | 9 | 15 | 24 | 2 | 12 | 0 | 55 | 81 | 27 | 64 | 11.11% | 5 | 20.28 | 5 | 6 | 11 | 99 | 0 | 0 | 0 | 105 | 1 | 1 | 54.72% | 963 | 0 | 0 | 0 | 0 | 0.74 | 0 | 2 | |
| 2 | Gustav Forsling | 0 | D | 29 | 7 | 11 | 18 | -4 | 22 | 0 | 22 | 60 | 12 | 33 | 11.67% | 28 | 20.66 | 4 | 4 | 8 | 79 | 0 | 0 | 0 | 76 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
| 3 | Gustav Nyquist | 0 | LW/RW | 29 | 10 | 8 | 18 | -7 | 0 | 0 | 15 | 86 | 15 | 44 | 11.63% | 1 | 17.15 | 3 | 4 | 7 | 112 | 0 | 0 | 0 | 0 | 2 | 0 | 43.59% | 39 | 0 | 0 | 1 | 0 | 0.72 | 0 | 2 | |
| 4 | David Tomasek | 0 | C/RW | 31 | 9 | 9 | 18 | -4 | 39 | 5 | 68 | 104 | 25 | 73 | 8.65% | 7 | 17.54 | 2 | 3 | 5 | 67 | 0 | 0 | 0 | 72 | 0 | 0 | 24.59% | 61 | 0 | 0 | 0 | 0 | 0.66 | 1 | 1 | |
| 5 | Nick Paul | 0 | C/LW/RW | 29 | 9 | 8 | 17 | -5 | 8 | 0 | 31 | 69 | 21 | 39 | 13.04% | 1 | 14.27 | 5 | 4 | 9 | 113 | 0 | 0 | 0 | 2 | 1 | 0 | 50.48% | 208 | 0 | 0 | 0 | 0 | 0.82 | 0 | 2 | |
| 6 | Warren Foegele | 0 | LW/RW | 30 | 6 | 10 | 16 | 0 | 14 | 0 | 39 | 99 | 21 | 72 | 6.06% | 12 | 18.21 | 2 | 4 | 6 | 103 | 0 | 0 | 0 | 79 | 0 | 0 | 51.92% | 52 | 0 | 0 | 0 | 0 | 0.59 | 0 | 1 | |
| 7 | Jason Dickinson | 0 | C/LW | 29 | 7 | 6 | 13 | 0 | 16 | 0 | 47 | 72 | 23 | 68 | 9.72% | 7 | 16.55 | 3 | 2 | 5 | 87 | 0 | 0 | 0 | 88 | 2 | 0 | 55.76% | 165 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
| 8 | Brenden Dillon | 0 | D | 29 | 4 | 8 | 12 | 14 | 55 | 5 | 89 | 30 | 6 | 19 | 13.33% | 37 | 20.25 | 1 | 0 | 1 | 38 | 0 | 1 | 1 | 77 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 9 | Ondrej Palat | 0 | LW/RW | 30 | 2 | 8 | 10 | -4 | 16 | 0 | 35 | 69 | 15 | 47 | 2.90% | 4 | 14.33 | 2 | 1 | 3 | 57 | 0 | 0 | 0 | 19 | 2 | 0 | 41.46% | 41 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
| 10 | Brock McGinn | 0 | LW/RW | 23 | 7 | 2 | 9 | 3 | 6 | 0 | 11 | 35 | 11 | 18 | 20.00% | 5 | 11.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52 | 2 | 1 | 54.55% | 11 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
| 11 | Luke Schenn | 0 | D | 30 | 1 | 7 | 8 | 1 | 45 | 15 | 70 | 13 | 2 | 7 | 7.69% | 27 | 15.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
| 12 | Joel Farabee | 0 | LW/RW | 29 | 3 | 5 | 8 | 9 | 2 | 0 | 9 | 31 | 13 | 32 | 9.68% | 0 | 10.15 | 0 | 1 | 1 | 20 | 0 | 0 | 0 | 0 | 0 | 1 | 52.00% | 25 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
| 13 | Mathieu Joseph | 21 | C/LW/RW | 29 | 2 | 4 | 6 | 3 | 12 | 0 | 34 | 41 | 5 | 27 | 4.88% | 7 | 10.33 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 33 | 0 | 0 | 50.00% | 32 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
| 14 | Connor Brown | 0 | LW/RW | 31 | 2 | 3 | 5 | -9 | 2 | 0 | 5 | 41 | 8 | 37 | 4.88% | 4 | 11.64 | 1 | 2 | 3 | 84 | 0 | 0 | 0 | 53 | 0 | 0 | 50.00% | 76 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
| 15 | Sam Malinski | 0 | D | 27 | 0 | 5 | 5 | -12 | 12 | 0 | 11 | 14 | 3 | 3 | 0.00% | 23 | 16.38 | 0 | 1 | 1 | 50 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 16 | Casey Cizikas | 0 | C | 29 | 1 | 3 | 4 | 1 | 19 | 5 | 22 | 40 | 9 | 27 | 2.50% | 4 | 11.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0 | 0 | 54.69% | 384 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
| 17 | Scott Perunovich | 0 | D | 25 | 0 | 4 | 4 | -5 | 6 | 0 | 21 | 23 | 5 | 8 | 0.00% | 28 | 19.67 | 0 | 2 | 2 | 56 | 0 | 0 | 0 | 79 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | |
| 18 | Kasperi Kapanen | 0 | LW/RW | 29 | 2 | 1 | 3 | -3 | 8 | 0 | 9 | 15 | 5 | 15 | 13.33% | 5 | 8.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 41.18% | 17 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 19 | Carson Soucy | 0 | D | 13 | 0 | 3 | 3 | 5 | 10 | 0 | 21 | 4 | 1 | 1 | 0.00% | 13 | 16.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
| Team Total or Average | 533 | 81 | 120 | 201 | -15 | 304 | 30 | 614 | 927 | 227 | 634 | 8.74% | 218 | 15.34 | 28 | 34 | 62 | 975 | 0 | 1 | 1 | 929 | 12 | 3 | 52.56% | 2074 | 0 | 0 | 1 | 0 | 0.49 | 1 | 8 |
| 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 | John Gibson | 15 | 7 | 6 | 2 | 0.905 | 2.80 | 878 | 2 | 0 | 41 | 430 | 0 | 0 | 0 | 0.667 | 3 | 15 | 13 | 1 | 2 | 0 | |
| 2 | Anton Forsberg | 9 | 3 | 2 | 2 | 0.912 | 2.47 | 510 | 0 | 0 | 21 | 239 | 0 | 0 | 0 | 0.333 | 3 | 7 | 22 | 0 | 0 | 1 | |
| Team Total or Average | 24 | 10 | 8 | 4 | 0.907 | 2.68 | 1389 | 2 | 0 | 62 | 669 | 0 | 0 | 0 | 0.500 | 6 | 22 | 35 | 1 | 2 | 1 |
| Projected Total Cap Hit | 75,330,121$ |
| Projected Cap Space | 20,169,879$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 28,441,111$ |
| Players In Salary Cap | 23 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Anton Forsberg | G | 33 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Brenden Dillon ![]() | D | 35 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | 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 Brown ![]() | LW/RW | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
David Tomasek | C/RW | 29 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Erik Gustafsson ![]() | D | 33 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 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$ | |||||
| John Gibson | G | 32 | 6,400,000$ | 6,400,000$ | 6,400,000$ | UFA | |||||
Kasperi Kapanen ![]() | LW/RW | 29 | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||||
Luke Schenn ![]() | D | 36 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Mathieu Joseph ![]() | C/LW/RW | 28 | 2,950,000$ | 2,950,000$ | UFA | ||||||
Nick Paul ![]() | C/LW/RW | 30 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | |||
Ondrej Palat ![]() | LW/RW | 34 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Sam Malinski ![]() | D | 27 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||
Scott Perunovich ![]() | D | 27 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | ||||
Sean Couturier ![]() | C | 33 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | UFA | ||
Warren Foegele ![]() | LW/RW | 29 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 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 | ||||||
Artyom Duda | D | 21 | 775,000$ | 775,000$ | RFA | ||||||
Atro Leppanen | D | 26 | 975,000$ | 975,000$ | |||||||
Brandon Halverson | G | 29 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Colby Barlow | LW | 20 | 950,000$ | 950,000$ | RFA | ||||||
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 | |||||
Jesper Boqvist | C/LW/RW | 27 | 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 | |||||
Kaden Hammell | D | 20 | 865,833$ | 865,833$ | 865,833$ | 865,833$ | RFA | ||||
Lane Pederson | C/RW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Liam McLinskey | LW/RW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Logan Mailloux | D | 22 | 875,000$ | 875,000$ | RFA | ||||||
Marc Gatcomb | C/RW | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Mason Millman | D | 24 | 800,000$ | 800,000$ | RFA | ||||||
Matthew Benning | D | 31 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Matthew Robertson | D | 24 | 800,000$ | 800,000$ | RFA | ||||||
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 | |||||
Nicholas Abruzzese | C/LW | 26 | 850,000$ | 850,000$ | |||||||
Nikita Nesterenko | C/LW | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Noah Ostlund | C/LW | 21 | 918,333$ | 918,333$ | 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$ | ||||||
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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 32 | 8 | 16 | 8 | 0 | 25 | 8 | 10 | 22 | 6 | 2 | 33.33% | 5 | 1 | 80.00% | 0 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 30 | 21 | 17 | 7 | 12 | 6 | 100.0% | 9.4% | 96.0% | 105.4 | LUCKY | |
| 2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 3 | 0 | 0 | 0 | 70 | 21 | 38 | 11 | 0 | 65 | 16 | 17 | 43 | 10 | 1 | 10.00% | 6 | 1 | 83.33% | 0 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 46 | 31 | 45 | 15 | 27 | 14 | 33.3% | 4.3% | 92.3% | 96.6 | DULL | |
| 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 1 | 2 | 3 | 0 | 68 | 19 | 26 | 23 | 0 | 55 | 9 | 12 | 48 | 6 | 2 | 33.33% | 5 | 1 | 80.00% | 0 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 51 | 35 | 43 | 13 | 25 | 13 | 50.0% | 8.8% | 90.9% | 99.7 | Unlucky | |
| 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 2 | 2 | 5 | 0 | 95 | 39 | 28 | 28 | 0 | 62 | 16 | 12 | 46 | 9 | 2 | 22.22% | 6 | 1 | 83.33% | 0 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 49 | 35 | 45 | 15 | 24 | 12 | 70.0% | 9.5% | 93.5% | 103.0 | LUCKY | |
| 5 | 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 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 25 | 17 | 22 | 7 | 12 | 6 | 33.3% | 3.0% | 92.9% | 95.9 | DULL | |
| 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 37 | 10 | 15 | 7 | 8 | 22 | 5 | 12 | 25 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 29 | 20 | 21 | 7 | 13 | 6 | 33.3% | 5.4% | 86.4% | 91.8 | Unlucky | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 26 | 5 | 15 | 6 | 0 | 35 | 4 | 12 | 18 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 23 | 15 | 24 | 7 | 12 | 6 | 60.0% | 11.5% | 94.3% | 105.8 | LUCKY | |
| 8 | 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 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 21 | 14 | 25 | 8 | 12 | 6 | 75.0% | 10.7% | 97.0% | 107.7 | LUCKY | |
| 9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 2 | 4 | 4 | 0 | 90 | 25 | 25 | 40 | 0 | 36 | 9 | 10 | 36 | 14 | 3 | 21.43% | 4 | 0 | 100.00% | 0 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 56 | 39 | 36 | 14 | 27 | 14 | 58.3% | 11.1% | 86.1% | 97.2 | FUN | |
| 10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 36 | 13 | 9 | 14 | 0 | 24 | 13 | 8 | 22 | 8 | 2 | 25.00% | 3 | 0 | 100.00% | 0 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 26 | 17 | 21 | 8 | 11 | 5 | 50.0% | 8.3% | 95.8% | 104.2 | DULL | |
| 11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 29 | 4 | 14 | 11 | 0 | 24 | 11 | 4 | 10 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 1 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 24 | 17 | 22 | 8 | 12 | 6 | 66.7% | 13.8% | 87.5% | 101.3 | FUN | |
| 12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 71 | 28 | 21 | 22 | 0 | 52 | 19 | 26 | 37 | 10 | 2 | 20.00% | 12 | 2 | 83.33% | 0 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 49 | 34 | 45 | 14 | 24 | 12 | 30.0% | 7.0% | 82.7% | 89.7 | Unlucky | |
| 13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 35 | 5 | 22 | 8 | 0 | 29 | 12 | 14 | 17 | 5 | 1 | 20.00% | 7 | 1 | 85.71% | 0 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 24 | 16 | 23 | 8 | 12 | 6 | 33.3% | 5.7% | 89.7% | 95.4 | Unlucky | |
| 14 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 8 | 12 | -4 | 1 | 0.167 | 8 | 13 | 21 | 0 | 0 | 3 | 2 | 3 | 0 | 79 | 29 | 20 | 28 | 2 | 89 | 31 | 37 | 65 | 12 | 3 | 25.00% | 15 | 4 | 73.33% | 0 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 79 | 55 | 64 | 22 | 40 | 20 | 38.5% | 10.1% | 86.5% | 96.6 | FUN | |
| 15 | 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 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 25 | 17 | 19 | 7 | 14 | 7 | 75.0% | 19.4% | 94.4% | 113.8 | LUCKY | |
| 16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 16 | 8 | 2 | 6 | 0 | 12 | 5 | 6 | 20 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 28 | 19 | 19 | 6 | 12 | 6 | 66.7% | 12.5% | 91.7% | 104.2 | LUCKY | |
| 17 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 1 | 1 | 43 | 9 | 17 | 15 | 2 | 25 | 7 | 8 | 27 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 28 | 20 | 20 | 7 | 12 | 6 | 75.0% | 7.0% | 92.0% | 99.0 | DULL | |
| 18 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 7 | 9 | -2 | 1 | 0.250 | 7 | 13 | 20 | 0 | 0 | 4 | 1 | 2 | 0 | 85 | 30 | 25 | 25 | 7 | 66 | 13 | 17 | 38 | 9 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 53 | 38 | 44 | 14 | 27 | 14 | 46.7% | 8.2% | 86.4% | 94.6 | Unlucky | |
| 19 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 1 | 1 | 24 | 13 | 4 | 5 | 2 | 46 | 10 | 6 | 17 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 20 | 13 | 28 | 7 | 12 | 5 | 75.0% | 12.5% | 95.7% | 108.2 | LUCKY | |
| 20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 16 | 3 | 6 | 7 | 0 | 49 | 9 | 33 | 20 | 3 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 15 | 8 | 31 | 8 | 12 | 5 | 66.7% | 12.5% | 93.9% | 106.4 | LUCKY | |
| 21 | 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 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 26 | 18 | 20 | 7 | 12 | 7 | 0.0% | 7.4% | 84.0% | 91.4 | Unlucky | |
| _Vs Division | 7 | 2 | 4 | 0 | 0 | 0 | 0 | 1 | 20 | 20 | 0 | 5 | 0.357 | 20 | 36 | 56 | 0 | 0 | 10 | 3 | 7 | 0 | 283 | 103 | 101 | 74 | 7 | 221 | 52 | 50 | 145 | 33 | 3 | 9.09% | 18 | 3 | 83.33% | 0 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 175 | 122 | 157 | 53 | 92 | 47 | 50.0% | 7.1% | 91.0% | 98.0 | Unlucky | |
| _Vs Conference | 16 | 5 | 8 | 0 | 1 | 1 | 0 | 1 | 45 | 45 | 0 | 14 | 0.438 | 45 | 82 | 127 | 0 | 0 | 16 | 13 | 15 | 1 | 570 | 183 | 210 | 168 | 11 | 478 | 128 | 141 | 342 | 71 | 11 | 15.49% | 57 | 10 | 82.46% | 0 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 408 | 283 | 355 | 121 | 207 | 106 | 49.3% | 7.9% | 90.6% | 98.5 | Unlucky | |
| _Since Last GM Reset | 29 | 12 | 12 | 0 | 2 | 1 | 0 | 2 | 87 | 78 | 9 | 31 | 0.534 | 87 | 161 | 248 | 0 | 0 | 26 | 29 | 30 | 2 | 971 | 310 | 346 | 299 | 21 | 820 | 226 | 295 | 597 | 135 | 24 | 17.78% | 116 | 19 | 83.62% | 1 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 736 | 510 | 645 | 219 | 375 | 191 | 51.6% | 9.0% | 90.5% | 99.4 | FUN | |
| Total | 29 | 12 | 12 | 0 | 2 | 1 | 0 | 2 | 87 | 78 | 9 | 31 | 0.534 | 87 | 161 | 248 | 0 | 0 | 26 | 29 | 30 | 2 | 971 | 310 | 346 | 299 | 21 | 820 | 226 | 295 | 597 | 135 | 24 | 17.78% | 116 | 19 | 83.62% | 1 | 589 | 1092 | 53.94% | 499 | 972 | 51.34% | 242 | 441 | 54.88% | 736 | 510 | 645 | 219 | 375 | 191 | 51.6% | 9.0% | 90.5% | 99.4 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 25 |
| Neutral Zone | 12 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1092 |
| Neutral Zone Start | 441 |
| Defensive Zone Start | 972 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 28 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1330 |
| Faceoffs Lost | 1175 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.7 | 9.57 |
| 2nd Period | 22.6 | 20.31 |
| 3rd Period | 32.9 | 30.68 |
| Overtime | 33.7 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.9 | 0.64 |
| 2nd Period | 1.9 | 1.65 |
| 3rd Period | 2.9 | 2.67 |
| Overtime | 3.0 | 2.83 |
| Even Strenght Goal | 62 |
|---|---|
| PP Goal | 24 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 9 | 5 |
| Lost | 7 | 5 |
| Overtime Lost | 2 | 1 |
| PP Attempt | 135 |
|---|---|
| PP Goal | 24 |
| PK Attempt | 116 |
| PK Goal Against | 19 |
| Home | |
|---|---|
| Shots For | 33.5 |
| Shots Against | 28.3 |
| Goals For | 3.0 |
| Goals Against | 2.7 |
| Hits | 20.6 |
| Shots Blocked | 7.8 |
| Pim | 10.2 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | |||||||||||
| 2025-10-31 | @ | Predators3,Flyers6 | RECAP | |||||||||||
| 2025-11-02 | @ | Maple Leafs2,Flyers3 (OT) | RECAP | |||||||||||
| 2025-11-03 | @ | Flames1,Flyers3 | RECAP | |||||||||||
| 2025-11-05 | @ | Flyers3,Canadiens2 | RECAP | |||||||||||
| 2025-11-07 | @ | Flyers4,Predators2 | RECAP | |||||||||||
| 2025-11-09 | @ | Senators2,Flyers4 | RECAP | |||||||||||
| 2025-11-13 | @ | Oilers3,Flyers4 | RECAP | |||||||||||
| 2025-11-15 | @ | Flyers2,Blues4 | RECAP | |||||||||||
| 2025-11-16 | @ | Flyers2,Stars1 | RECAP | |||||||||||
| 2025-11-21 | @ | Blues5,Flyers3 | RECAP | |||||||||||
| 2025-11-23 | @ | Devils2,Flyers1 | RECAP | |||||||||||
| 2025-11-25 | @ | Flyers3,Lightning1 | RECAP | |||||||||||
| 2025-11-27 | @ | Flyers3,Panthers4 (OT) | RECAP | |||||||||||
| 2025-11-29 | @ | Flyers4,Islanders3 | RECAP | |||||||||||
| 2025-11-30 | @ | Flyers2,Devils3 | RECAP | |||||||||||
| 2025-12-02 | @ | Penguins4,Flyers3 (SO) | RECAP | |||||||||||
| 2025-12-04 | @ | Sabres3,Flyers2 | RECAP | |||||||||||
| 2025-12-08 | @ | Avalanche3,Flyers2 (SO) | RECAP | |||||||||||
| 2025-12-10 | @ | Sharks2,Flyers3 (OT) | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 72,700,000$ | 0$ | 75,330,121$ | 22,800,000$ |
| 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 | 102987 | 84797 | 34194 | 67809 | 16654 |
| Attendance PCT | 95.36% | 94.22% | 94.98% | 94.18% | 92.52% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 23 | 17025 - 94.58% | 1,560,674$ | 28,092,133$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 72,700,000$ | 72,700,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 29,214,553$ | 372,135$ | 28,441,111$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 35,895,503$ | 126 | 383,854$ | 48,365,604$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 50,851,032$ | 72,700,000$ | 57,777,253$ | 42,821,724$ |
Rookie
Injured
Cold Streak
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| Priority | Type | Description |
|---|---|---|
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| 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 |
|---|---|---|---|---|---|
| Adam Gajan | 2023 | 67 | |||
| Aidan Hreschuk | 2021 | 82 | |||
| Aidan Park | 2025 | 186 | |||
| Alexander Rykov | 2023 | 90 | |||
| Alexandre Blais | 2024 | 95 | |||
| Anthony Allain-Samake | 2025 | 160 | |||
| Anton Frondell | 2025 | 5 | |||
| 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 | |||
| Danny Nelson | 2023 | 72 | |||
| Dmitri Buchelnikov | 2022 | 67 | |||
| 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 | |||
| Luke Misa | 2024 | 54 | |||
| Marcus Davidsson | 6.0 - 5.0 | ||||
| Matthew Soto | 2023 | 195 | |||
| Maxim Agafonov | 2025 | 154 | |||
| Maxim Strbak | 2023 | 59 | |||
| 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 | |||
| Tarin Smith | 2024 | 56 | |||
| 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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