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Full Scoreboard »» |
| Philadelphia Flyers 24-20-6, 54pts · 9th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nick Paul | 0 | C/LW/RW | 100.00 | 69 | 35 | 87 | 69 | 89 | 84 | 90 | 68 | 83 | 66 | 74 | 63 | 71 | 76 | 74 | 0 | 48 | 79 | 30 | 3,150,000$/4yrs | |||
Sean Couturier | 0 | C | 100.00 | 65 | 36 | 83 | 67 | 85 | 84 | 89 | 65 | 89 | 73 | 66 | 68 | 65 | 81 | 79 | 0 | 25 | 79 | 33 | 7,750,000$/5yrs | |||
Warren Foegele | 0 | LW/RW | 100.00 | 68 | 33 | 88 | 68 | 79 | 81 | 89 | 63 | 59 | 64 | 72 | 68 | 67 | 75 | 74 | 0 | 30 | 78 | 29 | 5,500,000$/3yrs | |||
Connor Brown | 0 | LW/RW | 100.00 | 57 | 32 | 94 | 64 | 71 | 79 | 89 | 62 | 59 | 64 | 68 | 70 | 65 | 79 | 78 | 0 | 30 | 76 | 32 | 4,000,000$/4yrs | |||
Gustav Nyquist | 0 | LW/RW | 100.00 | 62 | 32 | 93 | 58 | 70 | 81 | 88 | 59 | 59 | 65 | 61 | 64 | 60 | 86 | 86 | 0 | 48 | 74 | 36 | 4,500,000$/1yrs | |||
Ondrej Palat | 0 | LW/RW | 100.00 | 75 | 33 | 93 | 57 | 75 | 77 | 89 | 59 | 57 | 61 | 64 | 65 | 62 | 84 | 83 | 0 | 26 | 74 | 34 | 5,500,000$/1yrs | |||
Joel Farabee | 0 | LW/RW | 100.00 | 69 | 38 | 87 | 63 | 72 | 81 | 90 | 60 | 59 | 63 | 66 | 65 | 63 | 68 | 67 | 0 | 48 | 74 | 25 | 5,000,000$/3yrs | |||
Casey Cizikas | 0 | C | 100.00 | 83 | 38 | 86 | 55 | 73 | 75 | 90 | 56 | 80 | 59 | 59 | 71 | 58 | 84 | 82 | 0 | 45 | 73 | 34 | 2,500,000$/2yrs | |||
Mathieu Joseph | 21 | C/LW/RW | 100.00 | 80 | 32 | 88 | 57 | 74 | 75 | 85 | 57 | 60 | 62 | 58 | 69 | 57 | 73 | 72 | 0 | 48 | 72 | 28 | 2,950,000$/1yrs | |||
Jesper Boqvist | 0 | C/LW/RW | 100.00 | 83 | 32 | 92 | 58 | 71 | 76 | 90 | 58 | 70 | 60 | 63 | 63 | 61 | 70 | 69 | 0 | 49 | 72 | 27 | 1,250,000$/1yrs | |||
Kasperi Kapanen | 0 | LW/RW | 100.00 | 73 | 33 | 92 | 59 | 77 | 75 | 80 | 55 | 60 | 60 | 59 | 59 | 57 | 74 | 73 | 0 | 48 | 71 | 29 | 2,250,000$/2yrs | |||
Ryan Reaves | 0 | RW | 100.00 | 91 | 52 | 80 | 55 | 88 | 68 | 79 | 51 | 55 | 53 | 56 | 58 | 53 | 90 | 88 | 0 | 26 | 69 | 39 | 1,350,000$/1yrs | |||
Gustav Forsling | 0 | D | 100.00 | 67 | 32 | 89 | 65 | 73 | 92 | 90 | 64 | 30 | 67 | 62 | 78 | 63 | 75 | 74 | 0 | 48 | 79 | 29 | 6,000,000$/6yrs | |||
Sam Malinski | 0 | D | 100.00 | 64 | 32 | 91 | 55 | 73 | 81 | 89 | 55 | 30 | 66 | 59 | 60 | 57 | 71 | 70 | 0 | 30 | 73 | 27 | 2,500,000$/5yrs | |||
Erik Gustafsson | 0 | D | 100.00 | 61 | 33 | 88 | 57 | 76 | 82 | 78 | 51 | 30 | 66 | 55 | 51 | 53 | 81 | 80 | 0 | 22 | 72 | 33 | 1,500,000$/2yrs | |||
Will Borgen | 0 | D | 100.00 | 74 | 33 | 80 | 55 | 82 | 85 | 89 | 53 | 30 | 55 | 57 | 74 | 55 | 73 | 71 | 0 | 71 | 72 | 29 | 3,000,000$/4yrs | |||
Matthew Robertson (R) | 0 | D | 100.00 | 74 | 33 | 82 | 55 | 85 | 82 | 72 | 54 | 30 | 61 | 58 | 63 | 56 | 66 | 64 | 0 | 30 | 72 | 24 | 800,000$/1yrs | |||
Scott Perunovich | 0 | D | 100.00 | 60 | 32 | 90 | 58 | 67 | 81 | 72 | 54 | 30 | 63 | 58 | 59 | 56 | 70 | 69 | 0 | 27 | 72 | 27 | 1,750,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Tucker Robertson (R) | 0 | C | 100.00 | 67 | 39 | 79 | 56 | 72 | 63 | 79 | 58 | 68 | 55 | 54 | 61 | 55 | 57 | 55 | 0 | 20 | 67 | 22 | 870,000$/1yrs | |||
Colby Barlow (R) | 0 | LW | 100.00 | 61 | 38 | 88 | 56 | 74 | 61 | 71 | 57 | 40 | 53 | 53 | 60 | 53 | 54 | 53 | 0 | 20 | 65 | 20 | 950,000$/1yrs | |||
Ryan Ufko (R) | 0 | D | 100.00 | 60 | 38 | 91 | 55 | 69 | 65 | 89 | 53 | 30 | 61 | 55 | 62 | 58 | 57 | 57 | 0 | 20 | 69 | 22 | 925,000$/2yrs | |||
Kaden Hammell (R) | 0 | D | 100.00 | 78 | 41 | 61 | 51 | 74 | 63 | 70 | 50 | 30 | 55 | 56 | 60 | 56 | 54 | 50 | 0 | 19 | 66 | 20 | 865,833$/3yrs | |||
Jesse Pulkkinen (R) | 0 | D | 100.00 | 59 | 40 | 93 | 47 | 91 | 60 | 70 | 47 | 30 | 53 | 50 | 61 | 51 | 55 | 55 | 0 | 21 | 64 | 21 | 880,833$/3yrs | |||
| TEAM AVERAGE | 100.00 | 70 | 36 | 87 | 58 | 77 | 76 | 83 | 57 | 51 | 61 | 60 | 64 | 59 | 72 | 71 | 0 | 35 | 72 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
John Gibson | 0 | 100.00 | 80 | 84 | 76 | 84 | 84 | 75 | 85 | 90 | 83 | 89 | 85 | 80 | 84 | 0 | 27 | 87 | 32 | 6,400,000$/2yrs |
Joonas Korpisalo | 0 | 100.00 | 68 | 80 | 74 | 79 | 77 | 71 | 79 | 86 | 81 | 86 | 79 | 78 | 82 | 0 | 36 | 83 | 31 | 3,500,000$/2yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 74 | 82 | 75 | 82 | 81 | 73 | 82 | 88 | 82 | 88 | 82 | 79 | 83 | 0 | 32 | 85 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Drew Bannister | 80 | 85 | 80 | 95 | 74 | 70 | 77 | CAN | 51 | 4 | 1,000,000$ |
| 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 | 53 | 13 | 23 | 36 | 3 | 18 | 0 | 79 | 144 | 39 | 105 | 9.03% | 7 | 19.78 | 6 | 8 | 14 | 163 | 0 | 0 | 0 | 139 | 1 | 1 | 53.52% | 1504 | 0 | 0 | 0 | 0 | 0.69 | 1 | 4 | |
| 2 | Nick Paul | 0 | C/LW/RW | 50 | 12 | 22 | 34 | -6 | 10 | 0 | 51 | 144 | 40 | 94 | 8.33% | 5 | 14.70 | 6 | 12 | 18 | 183 | 0 | 0 | 0 | 3 | 2 | 1 | 55.74% | 619 | 0 | 0 | 0 | 0 | 0.93 | 0 | 4 | |
| 3 | Gustav Forsling | 0 | D | 50 | 12 | 22 | 34 | -5 | 30 | 0 | 66 | 114 | 24 | 74 | 10.53% | 72 | 22.20 | 7 | 9 | 16 | 145 | 0 | 1 | 1 | 148 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
| 4 | Warren Foegele | 0 | LW/RW | 51 | 12 | 19 | 31 | -1 | 20 | 0 | 76 | 163 | 37 | 115 | 7.36% | 16 | 17.05 | 2 | 9 | 11 | 166 | 0 | 0 | 0 | 107 | 0 | 0 | 51.43% | 70 | 0 | 0 | 0 | 1 | 0.71 | 1 | 3 | |
| 5 | Gustav Nyquist | 0 | LW/RW | 50 | 14 | 12 | 26 | -6 | 0 | 0 | 22 | 141 | 27 | 79 | 9.93% | 1 | 17.15 | 4 | 5 | 9 | 175 | 0 | 0 | 0 | 0 | 3 | 0 | 49.25% | 67 | 0 | 0 | 1 | 0 | 0.61 | 0 | 2 | |
| 6 | Joel Farabee | 0 | LW/RW | 50 | 9 | 14 | 23 | 12 | 6 | 0 | 27 | 89 | 23 | 57 | 10.11% | 2 | 12.17 | 1 | 6 | 7 | 91 | 0 | 0 | 0 | 0 | 0 | 1 | 48.89% | 45 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | |
| 7 | Ondrej Palat | 0 | LW/RW | 51 | 5 | 11 | 16 | -8 | 22 | 0 | 45 | 100 | 25 | 64 | 5.00% | 7 | 12.88 | 2 | 1 | 3 | 59 | 0 | 0 | 0 | 19 | 2 | 0 | 40.68% | 59 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
| 8 | Connor Brown | 0 | LW/RW | 52 | 6 | 9 | 15 | -14 | 2 | 0 | 10 | 89 | 20 | 77 | 6.74% | 10 | 13.12 | 3 | 6 | 9 | 131 | 1 | 0 | 1 | 106 | 1 | 1 | 48.28% | 116 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| 9 | Mathieu Joseph | 21 | C/LW/RW | 50 | 5 | 7 | 12 | 4 | 28 | 0 | 67 | 79 | 23 | 59 | 6.33% | 14 | 13.14 | 0 | 0 | 0 | 26 | 0 | 0 | 0 | 91 | 0 | 0 | 44.83% | 58 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
| 10 | Scott Perunovich | 0 | D | 46 | 1 | 9 | 10 | -3 | 14 | 0 | 36 | 38 | 7 | 13 | 2.63% | 47 | 18.49 | 0 | 2 | 2 | 81 | 0 | 0 | 0 | 98 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
| 11 | Sam Malinski | 0 | D | 48 | 3 | 7 | 10 | -9 | 14 | 0 | 24 | 29 | 4 | 8 | 10.34% | 46 | 18.33 | 3 | 1 | 4 | 116 | 0 | 0 | 0 | 68 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 12 | Casey Cizikas | 0 | C | 50 | 3 | 6 | 9 | 3 | 33 | 5 | 51 | 71 | 22 | 45 | 4.23% | 14 | 12.71 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 151 | 0 | 0 | 52.74% | 802 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
| 13 | Kasperi Kapanen | 0 | LW/RW | 50 | 3 | 6 | 9 | -2 | 12 | 0 | 24 | 37 | 13 | 35 | 8.11% | 10 | 9.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 40.63% | 32 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 14 | Will Borgen | 0 | D | 51 | 3 | 6 | 9 | 0 | 32 | 0 | 69 | 40 | 15 | 26 | 7.50% | 33 | 15.42 | 3 | 1 | 4 | 165 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 15 | Jesper Boqvist | 0 | C/LW/RW | 15 | 2 | 2 | 4 | -3 | 2 | 0 | 13 | 35 | 7 | 20 | 5.71% | 0 | 10.91 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 0 | 42.20% | 173 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
| 16 | Erik Gustafsson | 0 | D | 11 | 0 | 2 | 2 | -4 | 8 | 0 | 10 | 3 | 0 | 2 | 0.00% | 8 | 16.37 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
| 17 | Matthew Robertson | 0 | D | 11 | 0 | 1 | 1 | 0 | 8 | 0 | 14 | 7 | 3 | 0 | 0.00% | 8 | 15.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 | |
| 18 | Ryan Reaves | 0 | RW | 27 | 0 | 0 | 0 | -3 | 12 | 0 | 20 | 9 | 4 | 2 | 0.00% | 0 | 5.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 766 | 103 | 178 | 281 | -42 | 271 | 5 | 704 | 1332 | 333 | 875 | 7.73% | 300 | 15.03 | 37 | 60 | 97 | 1512 | 1 | 2 | 3 | 958 | 13 | 4 | 52.30% | 3549 | 0 | 0 | 1 | 1 | 0.49 | 2 | 13 |
| 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 | Joonas Korpisalo | 25 | 14 | 9 | 2 | 0.924 | 2.22 | 1462 | 2 | 1 | 54 | 713 | 0 | 0 | 1 | 1.000 | 8 | 24 | 27 | 3 | 3 | 1 | |
| 2 | John Gibson | 22 | 10 | 9 | 3 | 0.912 | 2.76 | 1285 | 2 | 0 | 59 | 673 | 0 | 0 | 0 | 0.500 | 6 | 22 | 27 | 3 | 3 | 0 | |
| Team Total or Average | 47 | 24 | 18 | 5 | 0.918 | 2.47 | 2748 | 4 | 1 | 113 | 1386 | 0 | 0 | 1 | 0.786 | 14 | 46 | 54 | 6 | 6 | 1 |
| Projected Total Cap Hit | 78,113,081$ |
| Projected Cap Space | 17,386,919$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 46,201,754$ |
| Players In Salary Cap | 25 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Casey Cizikas ![]() | C | 34 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Colby Barlow | LW | 20 | 950,000$ | 950,000$ | RFA | ||||||
Connor Brown ![]() | LW/RW | 32 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 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 | ||||||
Jesper Boqvist | C/LW/RW | 27 | 1,250,000$ | 1,250,000$ | |||||||
Jesse Pulkkinen | D | 21 | 880,833$ | 880,833$ | 880,833$ | 880,833$ | RFA | ||||
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 | |||||
| Joonas Korpisalo | G | 31 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Kaden Hammell | D | 20 | 865,833$ | 865,833$ | 865,833$ | 865,833$ | RFA | ||||
Kasperi Kapanen ![]() | LW/RW | 29 | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||||
Mathieu Joseph ![]() | C/LW/RW | 28 | 2,950,000$ | 2,950,000$ | UFA | ||||||
Matthew Robertson | D | 24 | 800,000$ | 800,000$ | RFA | ||||||
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 | ||||||
Ryan Reaves ![]() | RW | 39 | 1,350,000$ | 1,350,000$ | UFA | ||||||
Ryan Ufko | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
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 | ||
Tucker Robertson | C | 22 | 870,000$ | 870,000$ | RFA | ||||||
Warren Foegele ![]() | LW/RW | 29 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Will Borgen ![]() | D | 29 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Amir Miftakhov | G | 25 | 775,000$ | 775,000$ | |||||||
Andrew Agozzino | C/LW | 35 | 775,000$ | 775,000$ | UFA | ||||||
Artyom Duda | D | 21 | 775,000$ | 775,000$ | RFA | ||||||
Atro Leppanen | D | 27 | 975,000$ | 975,000$ | |||||||
Brandon Halverson | G | 29 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Brock McGinn | LW/RW | 31 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Chas Sharpe | D | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Curtis Douglas | C/LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
David Tomasek | C/RW | 29 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Derrick Pouliot | D | 32 | 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 | ||||||
Jake Schmaltz | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Jeff Malott | LW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
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$ | ||||||
Linus Karlsson | C/LW/RW | 26 | 775,000$ | 775,000$ | |||||||
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 | ||||||
Matvei Petrov | LW | 22 | 803,333$ | 803,333$ | RFA | ||||||
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 | ||||||
Otto Salin | D | 21 | 0$ | RFA | |||||||
Riley Heidt | C | 20 | 0$ | RFA | |||||||
T.J. Tynan | C/RW | 33 | 800,000$ | 800,000$ | UFA | ||||||
Trevor Carrick | D | 31 | 775,000$ | 775,000$ | UFA | ||||||
Tuomas Uronen | RW | 20 | 0$ | RFA | |||||||
Vladislav Kolyachonok | D | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
Zach Dean | C | 23 | 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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 2 | 2 | 0 | 0 | 66 | 16 | 31 | 19 | 0 | 61 | 12 | 18 | 37 | 13 | 2 | 15.38% | 9 | 2 | 77.78% | 0 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 55 | 39 | 39 | 14 | 25 | 14 | 66.7% | 6.1% | 95.1% | 101.1 | DULL | |
| 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 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 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 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 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 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 49 | 35 | 45 | 15 | 24 | 12 | 70.0% | 9.5% | 93.5% | 103.0 | LUCKY | |
| 5 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 87 | 28 | 30 | 29 | 0 | 91 | 30 | 16 | 66 | 9 | 1 | 11.11% | 7 | 2 | 71.43% | 0 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 68 | 47 | 74 | 21 | 37 | 18 | 25.0% | 3.4% | 91.2% | 94.7 | DULL | |
| 6 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 71 | 25 | 28 | 13 | 8 | 50 | 11 | 16 | 53 | 9 | 2 | 22.22% | 7 | 1 | 85.71% | 0 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 51 | 35 | 45 | 15 | 27 | 12 | 25.0% | 5.6% | 86.0% | 91.6 | Unlucky | |
| 7 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 7 | -2 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 0 | 2 | 3 | 0 | 60 | 18 | 20 | 17 | 5 | 90 | 16 | 20 | 38 | 6 | 1 | 16.67% | 10 | 1 | 90.00% | 0 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 44 | 29 | 52 | 16 | 26 | 12 | 40.0% | 8.3% | 92.2% | 100.6 | DULL | |
| 8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 11 | 18 | 0 | 1 | 0 | 5 | 2 | 0 | 48 | 11 | 26 | 11 | 0 | 63 | 16 | 22 | 46 | 3 | 0 | 0.00% | 10 | 0 | 100.00% | 0 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 47 | 31 | 48 | 14 | 24 | 12 | 77.8% | 14.6% | 96.8% | 111.4 | LUCKY | |
| 9 | 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 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 21 | 14 | 25 | 8 | 12 | 6 | 75.0% | 10.7% | 97.0% | 107.7 | LUCKY | |
| 10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 5 | 1 | 4 | 0 | 81 | 25 | 30 | 26 | 0 | 55 | 13 | 6 | 33 | 8 | 3 | 37.50% | 2 | 0 | 100.00% | 0 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 51 | 37 | 42 | 14 | 25 | 13 | 70.0% | 12.3% | 94.5% | 106.9 | LUCKY | |
| 11 | 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 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 56 | 39 | 36 | 14 | 27 | 14 | 58.3% | 11.1% | 86.1% | 97.2 | FUN | |
| 12 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 3 | 6 | 6 | 1.000 | 9 | 16 | 25 | 0 | 0 | 4 | 3 | 1 | 1 | 116 | 39 | 41 | 34 | 5 | 82 | 27 | 24 | 65 | 18 | 3 | 16.67% | 10 | 0 | 100.00% | 0 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 76 | 51 | 69 | 24 | 39 | 19 | 66.7% | 7.8% | 96.3% | 104.1 | DULL | |
| 13 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 1 | 1 | 5 | 1 | 62 | 20 | 20 | 20 | 5 | 60 | 23 | 12 | 26 | 6 | 2 | 33.33% | 6 | 1 | 83.33% | 1 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 49 | 34 | 49 | 16 | 25 | 12 | 45.5% | 11.3% | 88.3% | 99.6 | FUN | |
| 14 | 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 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 49 | 34 | 45 | 14 | 24 | 12 | 30.0% | 7.0% | 82.7% | 89.7 | Unlucky | |
| 15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 26 | 10 | 6 | 10 | 0 | 32 | 10 | 10 | 29 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 19 | 12 | 28 | 7 | 12 | 5 | 33.3% | 3.8% | 90.6% | 94.5 | Unlucky | |
| 16 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.333 | 7 | 14 | 21 | 1 | 0 | 3 | 3 | 1 | 0 | 111 | 22 | 54 | 35 | 0 | 95 | 36 | 24 | 67 | 13 | 2 | 15.38% | 12 | 1 | 91.67% | 0 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 72 | 49 | 69 | 22 | 38 | 19 | 41.7% | 6.3% | 91.6% | 97.9 | DULL | |
| 17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 29 | 12 | 9 | 8 | 0 | 25 | 5 | 14 | 26 | 3 | 0 | 0.00% | 7 | 0 | 100.00% | 1 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 23 | 15 | 23 | 8 | 13 | 6 | 80.0% | 13.8% | 96.0% | 109.8 | LUCKY | |
| 18 | 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 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 79 | 55 | 64 | 22 | 40 | 20 | 38.5% | 10.1% | 86.5% | 96.6 | FUN | |
| 19 | 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 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 25 | 17 | 19 | 7 | 14 | 7 | 75.0% | 19.4% | 94.4% | 113.8 | LUCKY | |
| 20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 38 | 9 | 11 | 18 | 0 | 35 | 14 | 6 | 16 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 22 | 16 | 25 | 7 | 11 | 6 | 75.0% | 10.5% | 97.1% | 107.7 | LUCKY | |
| 21 | 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 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 28 | 19 | 19 | 6 | 12 | 6 | 66.7% | 12.5% | 91.7% | 104.2 | LUCKY | |
| 22 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 2 | 3 | 2 | 1 | 70 | 20 | 27 | 21 | 2 | 61 | 23 | 14 | 53 | 9 | 2 | 22.22% | 7 | 2 | 71.43% | 0 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 47 | 33 | 47 | 15 | 27 | 13 | 66.7% | 11.4% | 91.8% | 103.2 | LUCKY | |
| 23 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 9 | 0 | 3 | 0.500 | 9 | 17 | 26 | 0 | 1 | 5 | 1 | 3 | 0 | 121 | 43 | 39 | 34 | 7 | 90 | 20 | 23 | 62 | 14 | 2 | 14.29% | 8 | 1 | 87.50% | 0 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 77 | 53 | 67 | 23 | 40 | 20 | 46.7% | 7.4% | 90.0% | 97.4 | Unlucky | |
| 24 | 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 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 20 | 13 | 28 | 7 | 12 | 5 | 75.0% | 12.5% | 95.7% | 108.2 | LUCKY | |
| 25 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 66 | 20 | 24 | 22 | 0 | 81 | 18 | 43 | 38 | 14 | 2 | 14.29% | 14 | 3 | 78.57% | 0 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 40 | 26 | 53 | 16 | 25 | 11 | 33.3% | 6.1% | 91.4% | 97.4 | DULL | |
| 26 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 7 | -3 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 66 | 25 | 23 | 17 | 1 | 53 | 21 | 35 | 42 | 8 | 2 | 25.00% | 10 | 1 | 90.00% | 0 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 55 | 38 | 43 | 15 | 25 | 13 | 25.0% | 6.1% | 86.8% | 92.9 | Unlucky | |
| _Vs Division | 12 | 3 | 7 | 0 | 0 | 1 | 0 | 1 | 29 | 33 | -4 | 8 | 0.333 | 29 | 53 | 82 | 0 | 1 | 12 | 6 | 11 | 0 | 433 | 149 | 155 | 119 | 12 | 398 | 98 | 88 | 255 | 48 | 7 | 14.58% | 37 | 6 | 83.78% | 0 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 287 | 197 | 284 | 92 | 156 | 77 | 44.9% | 6.7% | 91.7% | 98.4 | DULL | |
| _Vs Conference | 27 | 10 | 12 | 0 | 1 | 2 | 1 | 1 | 74 | 68 | 6 | 27 | 0.500 | 74 | 135 | 209 | 1 | 2 | 25 | 24 | 23 | 2 | 925 | 289 | 349 | 271 | 21 | 843 | 240 | 221 | 599 | 109 | 19 | 17.43% | 96 | 14 | 85.42% | 0 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 661 | 455 | 626 | 205 | 351 | 176 | 50.5% | 8.0% | 91.9% | 99.9 | DULL | |
| _Since Last GM Reset | 50 | 21 | 20 | 0 | 2 | 3 | 1 | 3 | 145 | 126 | 19 | 54 | 0.540 | 145 | 266 | 411 | 1 | 2 | 47 | 45 | 50 | 4 | 1690 | 546 | 601 | 517 | 37 | 1492 | 425 | 453 | 1058 | 216 | 41 | 18.98% | 192 | 26 | 86.46% | 2 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 1233 | 851 | 1152 | 380 | 649 | 326 | 51.0% | 8.6% | 91.6% | 100.1 | DULL | |
| Total | 50 | 21 | 20 | 0 | 2 | 3 | 1 | 3 | 145 | 126 | 19 | 54 | 0.540 | 145 | 266 | 411 | 1 | 2 | 47 | 45 | 50 | 4 | 1690 | 546 | 601 | 517 | 37 | 1492 | 425 | 453 | 1058 | 216 | 41 | 18.98% | 192 | 26 | 86.46% | 2 | 976 | 1826 | 53.45% | 889 | 1733 | 51.30% | 396 | 749 | 52.87% | 1233 | 851 | 1152 | 380 | 649 | 326 | 51.0% | 8.6% | 91.6% | 100.1 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1826 |
| Neutral Zone Start | 749 |
| Defensive Zone Start | 1733 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2261 |
| Faceoffs Lost | 2047 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.9 | 9.57 |
| 2nd Period | 22.9 | 20.31 |
| 3rd Period | 33.3 | 30.68 |
| Overtime | 34.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.9 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 2.8 | 2.67 |
| Overtime | 2.9 | 2.83 |
| Even Strenght Goal | 101 |
|---|---|
| PP Goal | 41 |
| PK Goal | 2 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 14 | 10 |
| Lost | 8 | 12 |
| Overtime Lost | 3 | 3 |
| PP Attempt | 216 |
|---|---|
| PP Goal | 41 |
| PK Attempt | 192 |
| PK Goal Against | 26 |
| Home | |
|---|---|
| Shots For | 33.8 |
| Shots Against | 29.8 |
| Goals For | 2.9 |
| Goals Against | 2.5 |
| Hits | 21.2 |
| Shots Blocked | 8.5 |
| Pim | 9.1 |
| 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 | |||||||||||
| 2025-12-12 | @ | Golden Knights3,Flyers2 | RECAP | |||||||||||
| 2025-12-14 | @ | Hurricanes2,Flyers1 | RECAP | |||||||||||
| 2025-12-15 | @ | Flyers1,Hurricanes4 | RECAP | |||||||||||
| 2025-12-17 | @ | Flyers4,Canadiens0 | RECAP | |||||||||||
| 2025-12-19 | @ | Flyers3,Sabres1 | RECAP | |||||||||||
| 2025-12-21 | @ | Flyers2,Rangers3 | RECAP | |||||||||||
| 2025-12-23 | @ | Canucks2,Flyers4 | RECAP | |||||||||||
| 2025-12-24 | @ | Flyers4,Blackhawks1 | RECAP | |||||||||||
| 2025-12-29 | @ | Flyers2,Kraken3 (OT) | RECAP | |||||||||||
| 2025-12-31 | @ | Flyers6,Canucks1 | RECAP | |||||||||||
| 2026-01-01 | @ | Flyers1,Flames2 | RECAP | |||||||||||
| 2026-01-04 | @ | Flyers3,Oilers4 (SO) | RECAP | |||||||||||
| 2026-01-07 | @ | Ducks1,Flyers4 | RECAP | |||||||||||
| 2026-01-09 | @ | Maple Leafs3,Flyers5 | RECAP | |||||||||||
| 2026-01-11 | @ | Lightning1,Flyers2 (SO) | RECAP | |||||||||||
| 2026-01-13 | @ | Lightning1,Flyers4 | RECAP | |||||||||||
| 2026-01-15 | @ | Flyers2,Sabres4 | RECAP | |||||||||||
| 2026-01-16 | @ | Flyers2,Penguins0 | RECAP | |||||||||||
| 2026-01-18 | @ | Rangers4,Flyers3 (OT) | RECAP | |||||||||||
| 2026-01-20 | @ | Flyers2,Golden Knights4 | RECAP | |||||||||||
| 2026-01-22 | @ | Flyers1,Mammoth3 | RECAP | |||||||||||
| 2026-01-24 | @ | Flyers2,Avalanche4 | RECAP | |||||||||||
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| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 75,641,666$ | 0$ | 78,113,081$ | 19,858,334$ |
| 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 | 143552 | 117402 | 47407 | 95041 | 23041 |
| Attendance PCT | 95.70% | 93.92% | 94.81% | 95.04% | 92.16% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 16 | 17058 - 94.77% | 1,562,225$ | 39,055,624$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 75,641,666$ | 75,641,666$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 47,229,104$ | 393,967$ | 46,201,754$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 24,995,599$ | 81 | 399,175$ | 32,333,175$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 33,741,051$ | 75,641,666$ | 49,811,878$ | 41,066,426$ |
Rookie
Injured
Cold Streak
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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| 2026 | ||||||||
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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 |
|---|---|---|---|---|---|
| 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 | |||
| 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 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 | |||
| 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 | |||
| Pavel Moysevich | 2024 | 100 | |||
| 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 | |||
| Yaroslav Likhachyov | 2019 | 197 | |||
| Zeb Forsfjall | 2023 | 140 |
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