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| Buffalo Sabres 18-11-2, 38pts · 6th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nathan MacKinnon | 0 | C/RW | 99.00 | 62 | 34 | 82 | 95 | 77 | 94 | 90 | 88 | 87 | 97 | 87 | 62 | 87 | 76 | 74 | 0 | 56 | 96 | 30 | 12,600,000$/6yrs | |||
Brock Nelson | 0 | C | 100.00 | 60 | 34 | 90 | 73 | 85 | 87 | 90 | 74 | 83 | 73 | 78 | 65 | 76 | 82 | 81 | 0 | 58 | 84 | 34 | 6,000,000$/4yrs | |||
Jordan Kyrou | 0 | LW/RW | 97.00 | 61 | 33 | 91 | 78 | 77 | 86 | 90 | 74 | 58 | 74 | 81 | 57 | 77 | 70 | 69 | 0 | 63 | 84 | 27 | 8,125,000$/6yrs | |||
William Karlsson | 0 | C | 100.00 | 61 | 32 | 92 | 71 | 74 | 85 | 84 | 71 | 88 | 73 | 75 | 74 | 73 | 80 | 79 | 0 | 60 | 82 | 32 | 5,900,000$/2yrs | |||
Shane Pinto | 0 | C | 100.00 | 68 | 33 | 87 | 73 | 81 | 85 | 82 | 68 | 84 | 69 | 72 | 76 | 70 | 66 | 65 | 0 | 55 | 80 | 25 | 6,000,000$/7yrs | |||
Adam Lowry | 0 | C | 100.00 | 80 | 52 | 81 | 62 | 87 | 82 | 89 | 65 | 87 | 67 | 67 | 81 | 66 | 79 | 85 | 0 | 59 | 79 | 32 | 3,250,000$/1yrs | |||
Brandon Tanev | 0 | LW/RW | 100.00 | 81 | 41 | 84 | 56 | 74 | 79 | 88 | 59 | 58 | 61 | 62 | 86 | 61 | 81 | 80 | 0 | 63 | 76 | 33 | 3,250,000$/3yrs | |||
Dawson Mercer | 0 | C/RW | 100.00 | 60 | 34 | 90 | 67 | 71 | 85 | 90 | 64 | 73 | 63 | 70 | 73 | 67 | 64 | 63 | 0 | 62 | 76 | 24 | 3,500,000$/2yrs | |||
Kaapo Kakko | 0 | RW | 100.00 | 64 | 33 | 84 | 67 | 82 | 80 | 87 | 64 | 61 | 66 | 67 | 55 | 66 | 65 | 63 | 0 | 54 | 75 | 24 | 2,500,000$/2yrs | |||
Curtis Lazar | 0 | C/RW | 100.00 | 83 | 37 | 83 | 56 | 78 | 75 | 83 | 60 | 78 | 62 | 59 | 70 | 59 | 76 | 74 | 0 | 51 | 73 | 30 | 1,300,000$/1yrs | |||
Radek Faksa | 0 | C | 100.00 | 74 | 34 | 88 | 55 | 89 | 77 | 87 | 58 | 83 | 61 | 59 | 73 | 59 | 78 | 76 | 0 | 58 | 73 | 31 | 3,750,000$/4yrs | |||
Tyler Motte | 0 | C/LW/RW | 100.00 | 72 | 32 | 90 | 56 | 72 | 75 | 84 | 55 | 73 | 56 | 59 | 79 | 57 | 76 | 75 | 0 | 54 | 72 | 30 | 1,500,000$/1yrs | |||
Josh Morrissey | 0 | D | 100.00 | 66 | 32 | 85 | 77 | 72 | 97 | 90 | 71 | 30 | 83 | 66 | 67 | 68 | 76 | 74 | 0 | 57 | 86 | 30 | 6,250,000$/3yrs | |||
Jared Spurgeon | 0 | D | 100.00 | 66 | 31 | 93 | 63 | 63 | 91 | 78 | 65 | 30 | 71 | 60 | 74 | 63 | 85 | 95 | 0 | 59 | 81 | 36 | 7,200,000$/2yrs | |||
Brett Pesce | 0 | D | 100.00 | 59 | 35 | 88 | 57 | 83 | 91 | 87 | 61 | 30 | 62 | 56 | 79 | 59 | 76 | 75 | 0 | 57 | 76 | 31 | 5,750,000$/5yrs | |||
Cam York | 0 | D | 100.00 | 67 | 32 | 83 | 60 | 68 | 92 | 88 | 61 | 30 | 65 | 61 | 76 | 61 | 66 | 64 | 0 | 61 | 76 | 24 | 4,500,000$/2yrs | |||
Dmitry Kulikov | 0 | D | 100.00 | 77 | 35 | 78 | 55 | 79 | 86 | 88 | 58 | 30 | 63 | 55 | 71 | 56 | 83 | 81 | 0 | 59 | 75 | 35 | 2,250,000$/3yrs | |||
Drew Helleson | 0 | D | 100.00 | 77 | 37 | 71 | 59 | 78 | 84 | 74 | 55 | 30 | 62 | 59 | 67 | 57 | 65 | 62 | 0 | 63 | 73 | 24 | 1,100,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 99.78 | 69 | 35 | 86 | 66 | 77 | 85 | 86 | 65 | 61 | 68 | 66 | 71 | 66 | 75 | 74 | 0 | 58 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Juuse Saros | 0 | 100.00 | 81 | 95 | 85 | 72 | 88 | 82 | 89 | 92 | 89 | 92 | 89 | 76 | 80 | 0 | 46 | 90 | 30 | 7,750,000$/8yrs |
Jonas Johansson | 0 | 99.00 | 68 | 76 | 72 | 91 | 76 | 73 | 79 | 84 | 83 | 84 | 79 | 75 | 78 | 0 | 54 | 83 | 30 | 1,750,000$/2yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 99.50 | 75 | 86 | 79 | 82 | 82 | 78 | 84 | 88 | 86 | 88 | 84 | 76 | 79 | 0 | 50 | 87 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Peter Laviolette | 84 | 84 | 86 | 80 | 92 | 84 | 83 | CAN | 59 | 4 | 1,000,000$ |
| General Manager | David Cassabon |
|---|
| 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 | Nathan MacKinnon | 0 | C/RW | 31 | 20 | 23 | 43 | 10 | 6 | 0 | 69 | 160 | 55 | 110 | 12.50% | 4 | 22.41 | 7 | 8 | 15 | 121 | 0 | 0 | 0 | 0 | 3 | 1 | 43.48% | 92 | 0 | 0 | 0 | 1 | 1.24 | 0 | 3 | |
| 2 | Brock Nelson | 0 | C | 31 | 11 | 22 | 33 | 8 | 21 | 5 | 41 | 112 | 27 | 80 | 9.82% | 6 | 21.60 | 2 | 9 | 11 | 118 | 0 | 0 | 0 | 8 | 1 | 1 | 53.28% | 899 | 0 | 0 | 0 | 0 | 0.99 | 1 | 1 | |
| 3 | Jordan Kyrou | 0 | LW/RW | 31 | 11 | 19 | 30 | 9 | 8 | 0 | 41 | 100 | 33 | 67 | 11.00% | 3 | 22.53 | 5 | 8 | 13 | 120 | 0 | 0 | 0 | 9 | 2 | 1 | 34.62% | 52 | 0 | 0 | 0 | 0 | 0.86 | 1 | 3 | |
| 4 | William Karlsson | 0 | C | 31 | 9 | 13 | 22 | -3 | 2 | 0 | 19 | 108 | 33 | 76 | 8.33% | 10 | 18.57 | 3 | 9 | 12 | 110 | 0 | 0 | 0 | 0 | 1 | 0 | 56.90% | 290 | 0 | 0 | 0 | 0 | 0.76 | 0 | 1 | |
| 5 | Josh Morrissey | 0 | D | 31 | 3 | 18 | 21 | -10 | 38 | 0 | 63 | 55 | 16 | 36 | 5.45% | 37 | 24.94 | 3 | 8 | 11 | 118 | 0 | 0 | 0 | 14 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
| 6 | Jared Spurgeon | 0 | D | 31 | 6 | 14 | 20 | 6 | 18 | 0 | 29 | 54 | 21 | 32 | 11.11% | 41 | 23.04 | 3 | 7 | 10 | 114 | 0 | 0 | 0 | 65 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
| 7 | Adam Lowry | 0 | C | 31 | 10 | 9 | 19 | 4 | 10 | 0 | 55 | 98 | 29 | 58 | 10.20% | 7 | 15.72 | 6 | 2 | 8 | 108 | 0 | 0 | 0 | 88 | 4 | 1 | 52.71% | 573 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | |
| 8 | Cam York | 0 | D | 31 | 5 | 14 | 19 | 4 | 14 | 0 | 55 | 56 | 18 | 43 | 8.93% | 47 | 21.06 | 5 | 6 | 11 | 110 | 0 | 0 | 0 | 76 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
| 9 | Drew Helleson | 0 | D | 31 | 1 | 12 | 13 | 11 | 16 | 0 | 40 | 31 | 13 | 18 | 3.23% | 14 | 15.83 | 0 | 7 | 7 | 112 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
| 10 | Shane Pinto | 0 | C | 31 | 2 | 9 | 11 | -3 | 12 | 0 | 41 | 73 | 31 | 52 | 2.74% | 5 | 14.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.13% | 530 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
| 11 | Brandon Tanev | 0 | LW/RW | 31 | 4 | 6 | 10 | 5 | 16 | 0 | 24 | 53 | 15 | 34 | 7.55% | 7 | 12.21 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 85 | 0 | 1 | 30.30% | 33 | 0 | 0 | 0 | 0 | 0.53 | 0 | 2 | |
| 12 | Dawson Mercer | 0 | C/RW | 31 | 5 | 5 | 10 | -2 | 4 | 0 | 17 | 67 | 20 | 50 | 7.46% | 3 | 14.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 53.85% | 26 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 13 | Dmitry Kulikov | 0 | D | 31 | 2 | 6 | 8 | 11 | 14 | 0 | 42 | 14 | 3 | 12 | 14.29% | 26 | 15.07 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 80 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
| 14 | Kaapo Kakko | 0 | RW | 31 | 4 | 3 | 7 | 4 | 2 | 0 | 14 | 38 | 5 | 22 | 10.53% | 1 | 12.81 | 0 | 1 | 1 | 110 | 0 | 0 | 0 | 0 | 0 | 0 | 57.14% | 35 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
| 15 | Brett Pesce | 0 | D | 31 | 3 | 3 | 6 | -10 | 42 | 10 | 29 | 27 | 4 | 13 | 11.11% | 56 | 20.97 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 78 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | |
| 16 | Curtis Lazar | 0 | C/RW | 31 | 2 | 1 | 3 | -4 | 19 | 5 | 26 | 20 | 3 | 7 | 10.00% | 1 | 5.83 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 55.56% | 9 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 17 | Radek Faksa | 0 | C | 31 | 0 | 2 | 2 | -4 | 4 | 0 | 13 | 33 | 5 | 15 | 0.00% | 4 | 7.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58 | 0 | 0 | 53.11% | 273 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
| 18 | Tyler Motte | 0 | C/LW/RW | 31 | 0 | 2 | 2 | -4 | 2 | 0 | 9 | 13 | 5 | 21 | 0.00% | 6 | 7.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 0 | 0 | 53.33% | 15 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | |
| Team Total or Average | 558 | 98 | 181 | 279 | 32 | 248 | 20 | 627 | 1112 | 336 | 746 | 8.81% | 278 | 16.46 | 34 | 65 | 99 | 1162 | 0 | 0 | 0 | 629 | 16 | 7 | 52.25% | 2827 | 0 | 0 | 0 | 1 | 0.61 | 2 | 10 |
| 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 | Jonas Johansson | 16 | 10 | 2 | 1 | 0.928 | 2.09 | 862 | 2 | 1 | 30 | 417 | 0 | 1 | 0 | 1.000 | 8 | 12 | 19 | 3 | 1 | 0 | |
| 2 | Juuse Saros | 21 | 8 | 9 | 1 | 0.904 | 2.95 | 1016 | 2 | 1 | 50 | 521 | 0 | 1 | 0 | 0.500 | 2 | 19 | 12 | 1 | 2 | 0 | |
| Team Total or Average | 37 | 18 | 11 | 2 | 0.915 | 2.56 | 1879 | 4 | 2 | 80 | 938 | 0 | 2 | 0 | 0.900 | 10 | 31 | 31 | 4 | 3 | 0 |
| Projected Total Cap Hit | 94,239,656$ |
| Projected Cap Space | 1,260,344$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 32,895,281$ |
| Players In Salary Cap | 20 |
| LTIR Players | 0 |
| Sabres Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Lowry ![]() | C | 32 | 3,250,000$ | 3,250,000$ | UFA | ||||||
Brandon Tanev ![]() | LW/RW | 33 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | ||||
Brett Pesce ![]() | D | 31 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | ||
Brock Nelson ![]() | C | 34 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||
Cam York ![]() | D | 24 | 4,500,000$ | 4,500,000$ | 4,500,000$ | ||||||
Curtis Lazar ![]() | C/RW | 30 | 1,300,000$ | 1,300,000$ | UFA | ||||||
Dawson Mercer ![]() | C/RW | 24 | 3,500,000$ | 3,500,000$ | 4,000,000$ | RFA | |||||
Dmitry Kulikov ![]() | D | 35 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | ||||
Drew Helleson | D | 24 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Jared Spurgeon ![]() | D | 36 | 7,200,000$ | 7,200,000$ | 7,200,000$ | UFA | |||||
Jonas Johansson ![]() | G | 30 | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
Jordan Kyrou ![]() | LW/RW | 27 | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | UFA | |
Josh Morrissey ![]() | D | 30 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | ||||
| Juuse Saros | G | 30 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ |
Kaapo Kakko ![]() | RW | 24 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Nathan MacKinnon ![]() | C/RW | 30 | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | UFA | |
Radek Faksa ![]() | C | 31 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |||
Shane Pinto ![]() | C | 25 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA |
Tyler Motte ![]() | C/LW/RW | 30 | 1,500,000$ | 1,500,000$ | UFA | ||||||
William Karlsson ![]() | C | 32 | 5,900,000$ | 5,900,000$ | 5,900,000$ | UFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Engstrom | D | 22 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Ben Steeves | LW | 23 | 950,000$ | 950,000$ | RFA | ||||||
Bokondji Imama | LW | 29 | 775,000$ | 775,000$ | UFA | ||||||
Brayden Yager | C/RW | 20 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Caleb Jones | D | 28 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Callum Tung | G | 22 | 872,500$ | 872,500$ | 872,500$ | 872,500$ | RFA | ||||
Cameron Hebig | C | 28 | 925,000$ | 925,000$ | 925,000$ | UFA | |||||
Carl Lindbom | G | 22 | 840,000$ | 840,000$ | RFA | ||||||
Chase Wheatcroft | LW | 23 | 862,500$ | 862,500$ | RFA | ||||||
Colin White | C/RW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Connor Ungar | G | 23 | 860,000$ | 860,000$ | RFA | ||||||
Conor Geekie | C | 21 | 918,333$ | 918,333$ | RFA | ||||||
Daemon Hunt | D | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Gabriel Szturc | C | 22 | 870,000$ | 870,000$ | RFA | ||||||
Graeme Clarke | RW | 24 | 900,000$ | 900,000$ | RFA | ||||||
Guillaume Brisebois | D | 28 | 775,000$ | 775,000$ | |||||||
Hayden Hodgson | RW | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Jake Chiasson | C | 22 | 843,333$ | 843,333$ | RFA | ||||||
Jaxon Fuder | C/LW | 19 | 916,667$ | 916,667$ | 916,667$ | 916,667$ | RFA | ||||
Joel Kiviranta | LW/RW | 29 | 800,000$ | 800,000$ | UFA | ||||||
John Ludvig | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Joseph LaBate | LW/RW | 32 | 900,000$ | 900,000$ | UFA | ||||||
Karsen Dorwart | C/LW | 23 | 975,000$ | 975,000$ | RFA | ||||||
Kole Lind | RW | 27 | 900,000$ | 900,000$ | |||||||
Lleyton Roed | LW | 23 | 870,000$ | 870,000$ | RFA | ||||||
Luca Cagnoni | D | 20 | 895,000$ | 895,000$ | 895,000$ | RFA | |||||
Maros Jedlicka | LW | 23 | 0$ | RFA | |||||||
Mason Geertsen | D | 30 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Max Gildon | D | 26 | 875,000$ | 875,000$ | |||||||
Maxwell Crozier | D | 25 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | |||||
Nate Clurman | D | 27 | 775,000$ | 775,000$ | |||||||
Quentin Musty | LW | 20 | 886,666$ | 886,666$ | 886,666$ | 886,666$ | RFA | ||||
Ryan Tverberg | C/RW | 23 | 851,667$ | 851,667$ | RFA | ||||||
Samuel Walker | C/RW | 26 | 900,000$ | 900,000$ | |||||||
Scott Sabourin | RW | 33 | 775,000$ | 775,000$ | UFA | ||||||
Spencer Smallman | RW | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Tristan Bertucci | D | 20 | 846,666$ | 846,666$ | 846,666$ | 846,666$ | RFA | ||||
Tristen Robins | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Tye Kartye | LW | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | ||||||
Tyrel Bauer | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Ville Koivunen | RW | 22 | 800,000$ | 800,000$ | RFA | ||||||
Vyacheslav Peksa | G | 23 | 851,667$ | 851,667$ | 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 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 5 | 1 | 3 | 0 | 89 | 32 | 27 | 30 | 0 | 62 | 17 | 31 | 48 | 16 | 7 | 43.75% | 7 | 0 | 100.00% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 49 | 33 | 44 | 14 | 25 | 13 | 33.3% | 10.1% | 93.5% | 103.7 | LUCKY | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 29 | 17 | 10 | 2 | 0 | 35 | 5 | 10 | 14 | 7 | 1 | 14.29% | 5 | 1 | 80.00% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 23 | 14 | 24 | 8 | 12 | 5 | 66.7% | 10.3% | 94.3% | 104.6 | LUCKY | |
| 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 34 | 12 | 5 | 17 | 0 | 27 | 11 | 10 | 19 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 24 | 16 | 22 | 7 | 12 | 6 | 40.0% | 5.9% | 88.9% | 94.8 | Unlucky | |
| 4 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 1 | 1 | 41 | 17 | 5 | 16 | 3 | 35 | 14 | 4 | 33 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 25 | 17 | 24 | 8 | 14 | 7 | 50.0% | 7.3% | 94.3% | 101.6 | DULL | |
| 5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 0 | 3 | 5 | 0 | 72 | 23 | 24 | 25 | 0 | 60 | 19 | 16 | 35 | 8 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 48 | 33 | 45 | 15 | 25 | 12 | 80.0% | 11.1% | 96.7% | 107.8 | LUCKY | |
| 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 1 | 0 | 3 | 1 | 0 | 58 | 15 | 21 | 22 | 0 | 55 | 11 | 36 | 31 | 6 | 1 | 16.67% | 8 | 1 | 87.50% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 48 | 33 | 46 | 15 | 24 | 11 | 75.0% | 6.9% | 96.4% | 103.3 | DULL | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 45 | 16 | 17 | 12 | 0 | 24 | 20 | 8 | 22 | 3 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 24 | 16 | 23 | 6 | 12 | 7 | 100.0% | 6.7% | 91.7% | 98.3 | DULL | |
| 8 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 2 | 2 | 3 | 1 | 61 | 20 | 27 | 11 | 5 | 60 | 19 | 8 | 40 | 6 | 4 | 66.67% | 3 | 0 | 100.00% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 47 | 32 | 53 | 13 | 24 | 12 | 40.0% | 13.1% | 90.0% | 103.1 | FUN | |
| 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 33 | 11 | 10 | 12 | 0 | 31 | 5 | 4 | 26 | 6 | 2 | 33.33% | 1 | 0 | 100.00% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 25 | 18 | 23 | 7 | 11 | 6 | 0.0% | 6.1% | 96.8% | 102.8 | DULL | |
| 10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 31 | 12 | 11 | 8 | 0 | 31 | 6 | 0 | 17 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 23 | 15 | 21 | 6 | 14 | 7 | 33.3% | 3.2% | 93.5% | 96.8 | DULL | |
| 11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 37 | 20 | 5 | 12 | 0 | 36 | 11 | 10 | 21 | 4 | 2 | 50.00% | 5 | 4 | 20.00% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 24 | 17 | 24 | 6 | 11 | 5 | 33.3% | 8.1% | 83.3% | 91.4 | Unlucky | |
| 12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 46 | 13 | 16 | 17 | 0 | 24 | 3 | 10 | 19 | 4 | 2 | 50.00% | 4 | 1 | 75.00% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 27 | 19 | 20 | 6 | 12 | 6 | 0.0% | 4.3% | 87.5% | 91.8 | Unlucky | |
| 13 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 5 | -2 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 70 | 19 | 24 | 25 | 2 | 59 | 20 | 6 | 44 | 12 | 1 | 8.33% | 3 | 1 | 66.67% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 50 | 36 | 46 | 14 | 25 | 13 | 33.3% | 4.3% | 91.5% | 95.8 | DULL | |
| 14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 3 | 1 | 0 | 0 | 25 | 9 | 10 | 6 | 0 | 31 | 9 | 6 | 21 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 23 | 16 | 23 | 7 | 12 | 6 | 66.7% | 16.0% | 93.5% | 109.5 | LUCKY | |
| 15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 2 | 2 | 4 | 0 | 76 | 26 | 18 | 32 | 0 | 60 | 21 | 16 | 43 | 8 | 1 | 12.50% | 8 | 2 | 75.00% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 50 | 35 | 45 | 14 | 24 | 12 | 58.3% | 10.5% | 88.3% | 98.9 | FUN | |
| 16 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 10 | -8 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 60 | 22 | 18 | 20 | 0 | 74 | 15 | 10 | 48 | 6 | 1 | 16.67% | 5 | 2 | 60.00% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 46 | 32 | 48 | 12 | 25 | 12 | 11.1% | 3.3% | 86.5% | 89.8 | Unlucky | |
| 17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 48 | 20 | 10 | 18 | 0 | 22 | 7 | 23 | 23 | 7 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 27 | 20 | 20 | 7 | 12 | 6 | 33.3% | 4.2% | 77.3% | 81.4 | Unlucky | |
| 18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 2 | 1.000 | 7 | 11 | 18 | 0 | 0 | 1 | 2 | 4 | 0 | 39 | 9 | 14 | 16 | 0 | 15 | 5 | 2 | 17 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 28 | 19 | 17 | 6 | 13 | 7 | 85.7% | 17.9% | 93.3% | 111.3 | LUCKY | |
| 19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 8 | 12 | 0 | 1 | 2 | 1 | 1 | 0 | 41 | 15 | 16 | 10 | 0 | 23 | 11 | 6 | 26 | 5 | 2 | 40.00% | 3 | 0 | 100.00% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 26 | 18 | 19 | 8 | 14 | 7 | 100.0% | 9.8% | 100.0% | 109.8 | LUCKY | |
| 20 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 16 | 26 | 0 | 0 | 3 | 2 | 4 | 1 | 81 | 29 | 30 | 21 | 6 | 66 | 16 | 12 | 24 | 14 | 4 | 28.57% | 6 | 3 | 50.00% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 55 | 39 | 44 | 15 | 24 | 13 | 75.0% | 12.3% | 92.4% | 104.8 | LUCKY | |
| 21 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 4 | 3 | 1 | 0 | 59 | 17 | 28 | 14 | 0 | 68 | 20 | 24 | 44 | 9 | 3 | 33.33% | 10 | 4 | 60.00% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 43 | 28 | 50 | 14 | 25 | 13 | 71.4% | 13.6% | 91.2% | 104.7 | LUCKY | |
| 22 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 38 | 14 | 11 | 8 | 8 | 40 | 13 | 4 | 10 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 25 | 18 | 27 | 7 | 12 | 6 | 42.9% | 10.5% | 87.5% | 98.0 | FUN | |
| _Vs Division | 9 | 4 | 3 | 0 | 1 | 0 | 1 | 0 | 30 | 26 | 4 | 12 | 0.667 | 30 | 51 | 81 | 0 | 0 | 9 | 7 | 12 | 2 | 293 | 96 | 102 | 89 | 8 | 283 | 78 | 52 | 208 | 35 | 12 | 34.29% | 22 | 6 | 72.73% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 216 | 150 | 218 | 63 | 114 | 58 | 47.4% | 10.2% | 90.8% | 101.1 | FUN | |
| _Vs Conference | 17 | 9 | 5 | 0 | 1 | 0 | 1 | 1 | 55 | 42 | 13 | 23 | 0.676 | 55 | 97 | 152 | 0 | 1 | 19 | 15 | 19 | 2 | 583 | 205 | 196 | 171 | 16 | 523 | 163 | 106 | 351 | 68 | 16 | 23.53% | 47 | 10 | 78.72% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 412 | 284 | 402 | 122 | 219 | 112 | 54.9% | 9.4% | 92.0% | 101.4 | LUCKY | |
| _Since Last GM Reset | 31 | 15 | 11 | 0 | 1 | 1 | 2 | 1 | 100 | 81 | 19 | 38 | 0.613 | 100 | 180 | 280 | 0 | 2 | 38 | 25 | 34 | 3 | 1113 | 388 | 357 | 354 | 24 | 938 | 278 | 256 | 625 | 143 | 34 | 23.78% | 95 | 23 | 75.79% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 770 | 535 | 719 | 225 | 393 | 202 | 53.2% | 9.0% | 91.4% | 100.3 | LUCKY | |
| Total | 31 | 15 | 11 | 0 | 1 | 1 | 2 | 1 | 100 | 81 | 19 | 38 | 0.613 | 100 | 180 | 280 | 0 | 2 | 38 | 25 | 34 | 3 | 1113 | 388 | 357 | 354 | 24 | 938 | 278 | 256 | 625 | 143 | 34 | 23.78% | 95 | 23 | 75.79% | 0 | 673 | 1233 | 54.58% | 537 | 1050 | 51.14% | 258 | 497 | 51.91% | 770 | 535 | 719 | 225 | 393 | 202 | 53.2% | 9.0% | 91.4% | 100.3 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1233 |
| Neutral Zone Start | 497 |
| Defensive Zone Start | 1050 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1468 |
| Faceoffs Lost | 1312 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 12.5 | 9.57 |
| 2nd Period | 24.0 | 20.31 |
| 3rd Period | 35.5 | 30.68 |
| Overtime | 36.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.2 | 0.64 |
| 2nd Period | 2.0 | 1.65 |
| 3rd Period | 3.1 | 2.67 |
| Overtime | 3.2 | 2.83 |
| Even Strenght Goal | 66 |
|---|---|
| PP Goal | 34 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 10 | 8 |
| Lost | 5 | 6 |
| Overtime Lost | 1 | 1 |
| PP Attempt | 143 |
|---|---|
| PP Goal | 34 |
| PK Attempt | 95 |
| PK Goal Against | 23 |
| Home | |
|---|---|
| Shots For | 35.9 |
| Shots Against | 30.3 |
| Goals For | 3.2 |
| Goals Against | 2.6 |
| Hits | 20.2 |
| Shots Blocked | 9.0 |
| Pim | 8.3 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | Rangers2,Sabres3 | RECAP | |||||||||||
| 2025-10-12 | @ | Sabres0,Bruins4 | RECAP | |||||||||||
| 2025-10-14 | @ | Avalanche2,Sabres0 | RECAP | |||||||||||
| 2025-10-16 | @ | Senators2,Sabres3 (OT) | RECAP | |||||||||||
| 2025-10-19 | @ | Panthers1,Sabres7 | RECAP | |||||||||||
| 2025-10-21 | @ | Sabres2,Canadiens1 | RECAP | |||||||||||
| 2025-10-23 | @ | Red Wings5,Sabres6 (SO) | RECAP | |||||||||||
| 2025-10-25 | @ | Maple Leafs3,Sabres6 | RECAP | |||||||||||
| 2025-10-26 | @ | Sabres2,Maple Leafs3 | RECAP | |||||||||||
| 2025-10-29 | @ | Blue Jackets0,Sabres4 | RECAP | |||||||||||
| 2025-10-31 | @ | Sabres2,Bruins6 | RECAP | |||||||||||
| 2025-11-02 | @ | Capitals2,Sabres1 | RECAP | |||||||||||
| 2025-11-05 | @ | Mammoth5,Sabres1 | RECAP | |||||||||||
| 2025-11-07 | @ | Blues2,Sabres4 | RECAP | |||||||||||
| 2025-11-09 | @ | Sabres6,Hurricanes1 | RECAP | |||||||||||
| 2025-11-13 | @ | Sabres7,Mammoth2 | RECAP | |||||||||||
| 2025-11-14 | @ | Sabres4,Avalanche0 | RECAP | |||||||||||
| 2025-11-16 | @ | Sabres2,Red Wings1 | RECAP | |||||||||||
| 2025-11-18 | @ | Oilers2,Sabres1 (OT) | RECAP | |||||||||||
| 2025-11-20 | @ | Flames2,Sabres5 | RECAP | |||||||||||
| 2025-11-22 | @ | Blackhawks5,Sabres2 | RECAP | |||||||||||
| 2025-11-24 | @ | Hurricanes1,Sabres2 | RECAP | |||||||||||
| 2025-11-27 | @ | Sabres4,Penguins5 (SO) | RECAP | |||||||||||
| 2025-11-29 | @ | Devils3,Sabres2 | RECAP | |||||||||||
| 2025-11-30 | @ | Sabres3,Wild6 | RECAP | |||||||||||
| 2025-12-02 | @ | Jets1,Sabres2 (SO) | RECAP | |||||||||||
| 2025-12-04 | @ | Sabres3,Flyers2 | RECAP | |||||||||||
| 2025-12-06 | @ | Sabres8,Jets4 | RECAP | |||||||||||
| 2025-12-09 | @ | Sabres4,Flames2 | RECAP | |||||||||||
| 2025-12-10 | @ | Sabres2,Oilers3 | RECAP | |||||||||||
| 2025-12-12 | @ | Sabres2,Canucks3 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 94,225,000$ | 0$ | 94,239,656$ | 1,275,000$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | KeyBank Center | |
| City | Buffalo | ||
| 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 | 91180 | 76917 | 30716 | 61362 | 15073 |
| Attendance PCT | 94.98% | 96.15% | 95.99% | 95.88% | 94.21% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 25 | 17203 - 95.57% | 1,572,734$ | 25,163,749$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 94,225,000$ | 94,225,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 33,244,284$ | 490,755$ | 32,895,281$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 39,318,358$ | 125 | 495,964$ | 61,995,500$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 64,712,472$ | 94,225,000$ | 29,045,439$ | 3,651,325$ |
Rookie
Injured
Cold Streak
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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 |
|---|---|---|---|---|---|
| Antoine Keller | 2023 | 221 | |||
| Cole Eiserman | 2024 | 10 | |||
| Connor Levis | 2023 | 181 | |||
| Hoaxi Wang | 2025 | 39 | |||
| Jack Nesbitt | 2025 | 30 | |||
| Justin Kipkie | 2023 | 146 | |||
| Liam Arnsby | 2022 | 201 | |||
| Mason Langenbrunner | |||||
| Roman Bausov | 2025 | 98 | |||
| Tnias Mathurin | 2022 | 173 | |||
| Zachary Morin | 2025 | 211 |
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