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Full Scoreboard »» |
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Full Scoreboard »» |
| Buffalo Sabres 7-4-0, 14pts · 7th 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 | 100.00 | 62 | 34 | 82 | 95 | 77 | 94 | 90 | 88 | 87 | 97 | 87 | 62 | 87 | 76 | 74 | 0 | 48 | 96 | 30 | 12,600,000$/6yrs | |||
Brock Nelson | 0 | C | 100.00 | 60 | 34 | 90 | 73 | 85 | 87 | 90 | 74 | 83 | 73 | 78 | 65 | 76 | 82 | 81 | 0 | 53 | 84 | 34 | 6,000,000$/4yrs | |||
Jordan Kyrou | 0 | LW/RW | 99.00 | 61 | 33 | 91 | 78 | 77 | 86 | 90 | 74 | 58 | 74 | 81 | 57 | 77 | 70 | 69 | 0 | 56 | 84 | 27 | 8,125,000$/6yrs | |||
William Karlsson | 0 | C | 100.00 | 61 | 32 | 92 | 71 | 74 | 85 | 84 | 71 | 88 | 73 | 75 | 74 | 73 | 80 | 79 | 0 | 53 | 82 | 32 | 5,900,000$/2yrs | |||
Shane Pinto | 0 | C | 100.00 | 68 | 33 | 87 | 73 | 81 | 85 | 82 | 68 | 84 | 69 | 72 | 76 | 70 | 66 | 65 | 0 | 48 | 80 | 24 | 6,000,000$/7yrs | |||
Adam Lowry | 0 | C | 100.00 | 80 | 52 | 81 | 62 | 87 | 82 | 89 | 65 | 87 | 67 | 67 | 81 | 66 | 79 | 85 | 0 | 52 | 79 | 32 | 3,250,000$/1yrs | |||
Brandon Tanev | 0 | LW/RW | 100.00 | 81 | 41 | 84 | 56 | 74 | 79 | 88 | 59 | 58 | 61 | 62 | 86 | 61 | 81 | 80 | 0 | 56 | 76 | 33 | 3,250,000$/3yrs | |||
Dawson Mercer | 0 | C/RW | 100.00 | 60 | 34 | 90 | 67 | 71 | 85 | 90 | 64 | 73 | 63 | 70 | 73 | 67 | 64 | 63 | 0 | 55 | 76 | 24 | 3,500,000$/2yrs | |||
Kaapo Kakko | 0 | RW | 100.00 | 64 | 33 | 84 | 67 | 82 | 80 | 87 | 64 | 61 | 66 | 67 | 55 | 66 | 65 | 63 | 0 | 46 | 75 | 24 | 2,500,000$/2yrs | |||
Curtis Lazar | 0 | C/RW | 100.00 | 83 | 37 | 83 | 56 | 78 | 75 | 83 | 60 | 78 | 62 | 59 | 70 | 59 | 76 | 74 | 0 | 47 | 73 | 30 | 1,300,000$/1yrs | |||
Radek Faksa | 0 | C | 100.00 | 74 | 34 | 88 | 55 | 89 | 77 | 87 | 58 | 83 | 61 | 59 | 73 | 59 | 78 | 76 | 0 | 51 | 73 | 31 | 3,750,000$/4yrs | |||
Tyler Motte | 0 | C/LW/RW | 100.00 | 72 | 32 | 90 | 56 | 72 | 75 | 84 | 55 | 73 | 56 | 59 | 79 | 57 | 76 | 75 | 0 | 47 | 72 | 30 | 1,500,000$/1yrs | |||
Quentin Musty (R) | 0 | LW | 100.00 | 62 | 39 | 85 | 62 | 80 | 67 | 77 | 60 | 47 | 59 | 63 | 61 | 61 | 58 | 56 | 0 | 45 | 71 | 20 | 886,666$/3yrs | |||
Josh Morrissey | 0 | D | 100.00 | 66 | 32 | 85 | 77 | 72 | 97 | 90 | 71 | 30 | 83 | 66 | 67 | 68 | 76 | 74 | 0 | 49 | 86 | 30 | 6,250,000$/3yrs | |||
Jared Spurgeon | 0 | D | 100.00 | 66 | 31 | 93 | 63 | 63 | 91 | 78 | 65 | 30 | 71 | 60 | 74 | 63 | 85 | 95 | 0 | 51 | 81 | 35 | 7,200,000$/2yrs | |||
Brett Pesce | 0 | D | 100.00 | 59 | 35 | 88 | 57 | 83 | 91 | 87 | 61 | 30 | 62 | 56 | 79 | 59 | 76 | 75 | 0 | 51 | 76 | 30 | 5,750,000$/5yrs | |||
Cam York | 0 | D | 100.00 | 67 | 32 | 83 | 60 | 68 | 92 | 88 | 61 | 30 | 65 | 61 | 76 | 61 | 66 | 64 | 0 | 53 | 76 | 24 | 4,500,000$/2yrs | |||
Dmitry Kulikov | 0 | D | 100.00 | 77 | 35 | 78 | 55 | 79 | 86 | 88 | 58 | 30 | 63 | 55 | 71 | 56 | 83 | 81 | 0 | 51 | 75 | 35 | 2,250,000$/3yrs | |||
Drew Helleson | 0 | D | 100.00 | 77 | 37 | 71 | 59 | 78 | 84 | 74 | 55 | 30 | 62 | 59 | 67 | 57 | 65 | 62 | 0 | 55 | 73 | 24 | 1,100,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 99.95 | 68 | 35 | 86 | 65 | 77 | 84 | 86 | 65 | 60 | 68 | 66 | 71 | 65 | 74 | 73 | 0 | 51 | 78 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Juuse Saros | 0 | 100.00 | 81 | 95 | 85 | 72 | 88 | 82 | 89 | 92 | 89 | 92 | 89 | 76 | 80 | 0 | 44 | 90 | 30 | 7,750,000$/8yrs |
Jonas Johansson | 0 | 100.00 | 68 | 76 | 72 | 91 | 76 | 73 | 79 | 84 | 83 | 84 | 79 | 75 | 78 | 0 | 53 | 83 | 30 | 1,750,000$/2yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 75 | 86 | 79 | 82 | 82 | 78 | 84 | 88 | 86 | 88 | 84 | 76 | 79 | 0 | 49 | 87 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Peter Laviolette | 84 | 84 | 86 | 80 | 92 | 84 | 83 | CAN | 59 | 4 | 1,000,000$ |
| 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 | 11 | 8 | 7 | 15 | 4 | 2 | 0 | 34 | 57 | 20 | 32 | 14.04% | 4 | 22.31 | 3 | 2 | 5 | 33 | 0 | 0 | 0 | 0 | 2 | 0 | 44.74% | 38 | 0 | 0 | 0 | 0 | 1.22 | 0 | 1 | |
| 2 | Josh Morrissey | 0 | D | 11 | 3 | 8 | 11 | -4 | 2 | 0 | 19 | 23 | 4 | 11 | 13.04% | 13 | 24.88 | 3 | 4 | 7 | 32 | 0 | 0 | 0 | 6 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | |
| 3 | Brock Nelson | 0 | C | 11 | 3 | 7 | 10 | 3 | 0 | 0 | 14 | 38 | 6 | 26 | 7.89% | 2 | 21.78 | 0 | 4 | 4 | 33 | 0 | 0 | 0 | 2 | 0 | 1 | 54.79% | 303 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 | |
| 4 | William Karlsson | 0 | C | 11 | 2 | 7 | 9 | -4 | 0 | 0 | 7 | 37 | 17 | 30 | 5.41% | 4 | 18.17 | 1 | 4 | 5 | 34 | 0 | 0 | 0 | 0 | 0 | 0 | 55.93% | 118 | 0 | 0 | 0 | 0 | 0.90 | 0 | 0 | |
| 5 | Jordan Kyrou | 0 | LW/RW | 11 | 2 | 6 | 8 | 3 | 2 | 0 | 9 | 37 | 12 | 25 | 5.41% | 1 | 22.60 | 1 | 3 | 4 | 33 | 0 | 0 | 0 | 3 | 1 | 0 | 42.86% | 14 | 0 | 0 | 0 | 0 | 0.64 | 1 | 1 | |
| 6 | Jared Spurgeon | 0 | D | 11 | 2 | 6 | 8 | 4 | 6 | 0 | 12 | 20 | 9 | 10 | 10.00% | 13 | 22.70 | 1 | 3 | 4 | 34 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | |
| 7 | Adam Lowry | 0 | C | 11 | 4 | 2 | 6 | 2 | 4 | 0 | 25 | 30 | 11 | 19 | 13.33% | 5 | 15.28 | 2 | 0 | 2 | 31 | 0 | 0 | 0 | 27 | 1 | 1 | 49.75% | 199 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | |
| 8 | Brandon Tanev | 0 | LW/RW | 11 | 2 | 2 | 4 | 2 | 8 | 0 | 13 | 17 | 2 | 10 | 11.76% | 4 | 12.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 1 | 33.33% | 12 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
| 9 | Dmitry Kulikov | 0 | D | 11 | 1 | 3 | 4 | 1 | 4 | 0 | 11 | 5 | 1 | 6 | 20.00% | 8 | 15.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
| 10 | Cam York | 0 | D | 11 | 2 | 2 | 4 | 1 | 6 | 0 | 27 | 14 | 5 | 14 | 14.29% | 18 | 21.59 | 2 | 1 | 3 | 34 | 0 | 0 | 0 | 23 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
| 11 | Kaapo Kakko | 0 | RW | 11 | 1 | 2 | 3 | 2 | 2 | 0 | 5 | 12 | 2 | 7 | 8.33% | 1 | 12.97 | 0 | 1 | 1 | 34 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 10 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
| 12 | Dawson Mercer | 0 | C/RW | 11 | 2 | 1 | 3 | -5 | 2 | 0 | 9 | 23 | 7 | 21 | 8.70% | 2 | 14.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 72.73% | 11 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 13 | Shane Pinto | 0 | C | 11 | 0 | 3 | 3 | -5 | 4 | 0 | 13 | 31 | 12 | 17 | 0.00% | 2 | 14.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55.09% | 167 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 14 | Curtis Lazar | 0 | C/RW | 11 | 2 | 0 | 2 | 0 | 0 | 0 | 8 | 8 | 2 | 4 | 25.00% | 0 | 6.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
| 15 | Tyler Motte | 0 | C/LW/RW | 11 | 0 | 2 | 2 | 0 | 0 | 0 | 2 | 2 | 3 | 5 | 0.00% | 2 | 7.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 44.44% | 9 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 16 | Drew Helleson | 0 | D | 11 | 0 | 2 | 2 | 1 | 8 | 0 | 18 | 8 | 2 | 8 | 0.00% | 3 | 15.52 | 0 | 2 | 2 | 34 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 17 | Quentin Musty | 0 | LW | 2 | 1 | 1 | 2 | 1 | 0 | 0 | 1 | 6 | 1 | 4 | 16.67% | 0 | 8.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 2.33 | 0 | 0 | |
| 18 | Radek Faksa | 0 | C | 11 | 0 | 1 | 1 | 0 | 4 | 0 | 6 | 7 | 0 | 5 | 0.00% | 0 | 7.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 51.81% | 83 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
| 19 | Brett Pesce | 0 | D | 11 | 0 | 0 | 0 | -4 | 10 | 0 | 14 | 7 | 1 | 4 | 0.00% | 23 | 21.58 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 200 | 35 | 62 | 97 | 2 | 64 | 0 | 247 | 382 | 117 | 258 | 9.16% | 105 | 16.43 | 13 | 24 | 37 | 342 | 0 | 0 | 0 | 191 | 6 | 4 | 52.89% | 970 | 0 | 0 | 0 | 0 | 0.59 | 1 | 2 |
| 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 | Juuse Saros | 11 | 6 | 4 | 0 | 0.917 | 2.53 | 570 | 2 | 1 | 24 | 289 | 0 | 1 | 0 | 0.000 | 0 | 11 | 0 | 1 | 1 | 0 | |
| 2 | Jonas Johansson | 2 | 1 | 0 | 0 | 0.857 | 3.09 | 97 | 0 | 0 | 5 | 35 | 0 | 0 | 0 | 1.000 | 3 | 0 | 11 | 0 | 0 | 0 | |
| Team Total or Average | 13 | 7 | 4 | 0 | 0.910 | 2.61 | 668 | 2 | 1 | 29 | 324 | 0 | 1 | 0 | 1.000 | 3 | 11 | 11 | 1 | 1 | 0 |
| Projected Total Cap Hit | 94,997,008$ |
| Projected Cap Space | 502,992$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 12,269,717$ |
| Players In Salary Cap | 21 |
| 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 | 30 | 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 | 35 | 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 | |
Quentin Musty | LW | 20 | 886,666$ | 886,666$ | 886,666$ | 886,666$ | RFA | ||||
Radek Faksa ![]() | C | 31 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |||
Shane Pinto ![]() | C | 24 | 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 | 21 | 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 | 21 | 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$ | |||||||
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 | 23 | 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 | 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 | 224 | 408 | 54.90% | 182 | 355 | 51.27% | 97 | 177 | 54.80% | 25 | 17 | 24 | 8 | 14 | 7 | 50.0% | 7.3% | 94.3% | 101.6 | DULL | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 8 | 9 | 9 | 0 | 28 | 9 | 8 | 14 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 224 | 408 | 54.90% | 182 | 355 | 51.27% | 97 | 177 | 54.80% | 24 | 16 | 22 | 7 | 12 | 6 | 0.0% | 0.0% | 92.9% | 92.9 | DULL | |
| 3 | 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 | 224 | 408 | 54.90% | 182 | 355 | 51.27% | 97 | 177 | 54.80% | 24 | 16 | 23 | 6 | 12 | 7 | 100.0% | 6.7% | 91.7% | 98.3 | DULL | |
| 4 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 2 | 1 | 2 | 1 | 33 | 7 | 16 | 7 | 5 | 26 | 6 | 4 | 14 | 4 | 3 | 75.00% | 1 | 0 | 100.00% | 0 | 224 | 408 | 54.90% | 182 | 355 | 51.27% | 97 | 177 | 54.80% | 23 | 16 | 28 | 6 | 12 | 5 | 37.5% | 18.2% | 80.8% | 99.0 | FUN | |
| 5 | 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 | 224 | 408 | 54.90% | 182 | 355 | 51.27% | 97 | 177 | 54.80% | 25 | 18 | 23 | 7 | 11 | 6 | 0.0% | 6.1% | 96.8% | 102.8 | DULL | |
| 6 | 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 | 224 | 408 | 54.90% | 182 | 355 | 51.27% | 97 | 177 | 54.80% | 46 | 32 | 48 | 12 | 25 | 12 | 11.1% | 3.3% | 86.5% | 89.8 | Unlucky | |
| 7 | 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 | 224 | 408 | 54.90% | 182 | 355 | 51.27% | 97 | 177 | 54.80% | 28 | 19 | 17 | 6 | 13 | 7 | 85.7% | 17.9% | 93.3% | 111.3 | LUCKY | |
| 8 | 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 | 224 | 408 | 54.90% | 182 | 355 | 51.27% | 97 | 177 | 54.80% | 26 | 18 | 19 | 8 | 14 | 7 | 100.0% | 9.8% | 100.0% | 109.8 | LUCKY | |
| 9 | 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 | 224 | 408 | 54.90% | 182 | 355 | 51.27% | 97 | 177 | 54.80% | 43 | 28 | 50 | 14 | 25 | 13 | 71.4% | 13.6% | 91.2% | 104.7 | LUCKY | |
| _Vs Division | 8 | 3 | 3 | 0 | 1 | 0 | 1 | 0 | 28 | 25 | 3 | 10 | 0.625 | 28 | 47 | 75 | 0 | 0 | 9 | 6 | 11 | 2 | 265 | 83 | 91 | 85 | 8 | 249 | 65 | 48 | 182 | 33 | 11 | 33.33% | 20 | 6 | 70.00% | 0 | 224 | 408 | 54.90% | 182 | 355 | 51.27% | 97 | 177 | 54.80% | 193 | 134 | 193 | 56 | 102 | 52 | 47.2% | 10.6% | 90.0% | 100.5 | FUN | |
| _Vs Conference | 10 | 5 | 3 | 0 | 1 | 0 | 1 | 0 | 35 | 27 | 8 | 14 | 0.700 | 35 | 60 | 95 | 0 | 1 | 12 | 9 | 12 | 2 | 351 | 114 | 124 | 107 | 8 | 296 | 96 | 62 | 230 | 41 | 13 | 31.71% | 27 | 8 | 70.37% | 0 | 224 | 408 | 54.90% | 182 | 355 | 51.27% | 97 | 177 | 54.80% | 243 | 169 | 237 | 71 | 129 | 66 | 53.7% | 10.0% | 90.9% | 100.8 | FUN | |
| _Since Last GM Reset | 11 | 5 | 4 | 0 | 1 | 0 | 1 | 0 | 35 | 29 | 6 | 14 | 0.636 | 35 | 60 | 95 | 0 | 1 | 12 | 9 | 12 | 2 | 377 | 122 | 133 | 116 | 8 | 324 | 105 | 70 | 244 | 43 | 13 | 30.23% | 31 | 9 | 70.97% | 0 | 224 | 408 | 54.90% | 182 | 355 | 51.27% | 97 | 177 | 54.80% | 268 | 186 | 259 | 78 | 141 | 73 | 52.4% | 9.3% | 91.0% | 100.3 | FUN | |
| Total | 11 | 5 | 4 | 0 | 1 | 0 | 1 | 0 | 35 | 29 | 6 | 14 | 0.636 | 35 | 60 | 95 | 0 | 1 | 12 | 9 | 12 | 2 | 377 | 122 | 133 | 116 | 8 | 324 | 105 | 70 | 244 | 43 | 13 | 30.23% | 31 | 9 | 70.97% | 0 | 224 | 408 | 54.90% | 182 | 355 | 51.27% | 97 | 177 | 54.80% | 268 | 186 | 259 | 78 | 141 | 73 | 52.4% | 9.3% | 91.0% | 100.3 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 408 |
| Neutral Zone Start | 177 |
| Defensive Zone Start | 355 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 503 |
| Faceoffs Lost | 437 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.1 | 9.57 |
| 2nd Period | 23.2 | 20.31 |
| 3rd Period | 33.7 | 30.68 |
| Overtime | 34.5 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 1.9 | 1.65 |
| 3rd Period | 3.0 | 2.67 |
| Overtime | 3.2 | 2.83 |
| Even Strenght Goal | 22 |
|---|---|
| PP Goal | 13 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 6 | 1 |
| Lost | 1 | 3 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 43 |
|---|---|
| PP Goal | 13 |
| PK Attempt | 31 |
| PK Goal Against | 9 |
| Home | |
|---|---|
| Shots For | 34.3 |
| Shots Against | 29.5 |
| Goals For | 3.2 |
| Goals Against | 2.6 |
| Hits | 22.2 |
| Shots Blocked | 9.5 |
| Pim | 6.4 |
| Date | Matchup | Result | Detail | |||||||||||
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| 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 | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 95,111,666$ | 0$ | 94,997,008$ | 388,334$ |
| 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 | 40199 | 33097 | 13462 | 26758 | 6432 |
| Attendance PCT | 95.71% | 94.56% | 96.16% | 95.56% | 91.89% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 34 | 17135 - 95.20% | 1,565,987$ | 10,961,912$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 95,111,666$ | 95,111,666$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 12,399,942$ | 495,373$ | 12,269,717$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 53,243,573$ | 167 | 500,582$ | 83,597,194$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 87,168,549$ | 95,111,666$ | 36,694,875$ | 2,769,899$ |
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 |
|---|---|---|---|---|---|---|---|---|
| 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 |
|---|---|---|---|---|---|
| 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 |
Conor Geekie is out for 1 days because of a Exhaustion.
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