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Full Scoreboard »» |
Buffalo Sabres Team Overall:74 9-21-4, 22pts · 10th in Conférence EST |
# | Player | Position | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | C | 6' 1" | 200 | 30 | 69 | 39 | 87 | 82 | 79 | 86 | 85 | 81 | 84 | 80 | 77 | 83 | 82 | 79 | 89 | 0 | 40 | 81 | 100.00 | 8,000,000$/2yrs | |
0 | ![]() | C | 6' 5" | 216 | 27 | 73 | 47 | 82 | 75 | 93 | 85 | 81 | 77 | 84 | 76 | 76 | 78 | 72 | 75 | 73 | 0 | 40 | 79 | 100.00 | 7,142,857$/1yrs | |
0 | ![]() | C/LW | 6' 3" | 218 | 21 | 79 | 45 | 72 | 81 | 87 | 83 | 90 | 79 | 82 | 78 | 75 | 66 | 81 | 63 | 70 | 0 | 40 | 78 | 100.00 | 3,394,166$/3yrs | |
0 | ![]() | LW/RW | 6' 0" | 210 | 23 | 83 | 43 | 74 | 79 | 76 | 82 | 88 | 77 | 59 | 76 | 78 | 69 | 81 | 67 | 66 | 0 | 40 | 78 | 97.00 | 6,000,000$/3yrs | |
0 | ![]() | LW/RW | 6' 1" | 194 | 23 | 75 | 49 | 85 | 80 | 75 | 81 | 88 | 76 | 58 | 73 | 71 | 74 | 78 | 67 | 66 | 0 | 40 | 77 | 97.00 | 3,200,000$/3yrs | |
0 | ![]() | LW/RW | 5' 7" | 165 | 22 | 62 | 43 | 89 | 81 | 60 | 83 | 89 | 78 | 55 | 77 | 80 | 56 | 78 | 65 | 67 | 0 | 40 | 76 | 100.00 | 894,166$/3yrs | |
0 | ![]() | LW | 5' 10" | 190 | 27 | 68 | 39 | 88 | 76 | 68 | 83 | 87 | 75 | 56 | 78 | 72 | 64 | 73 | 75 | 74 | 0 | 40 | 76 | 100.00 | 5,350,000$/3yrs | |
0 | ![]() | LW | 6' 0" | 172 | 23 | 57 | 48 | 84 | 79 | 69 | 81 | 85 | 77 | 52 | 75 | 78 | 63 | 79 | 67 | 70 | 0 | 40 | 76 | 100.00 | 6,000,000$/3yrs | |
0 | ![]() | C/RW | 5' 11" | 191 | 22 | 58 | 42 | 80 | 73 | 71 | 81 | 84 | 71 | 82 | 74 | 66 | 62 | 73 | 65 | 63 | 0 | 40 | 72 | 100.00 | 4,750,000$/3yrs | |
0 | ![]() | LW/RW | 5' 11" | 183 | 24 | 53 | 39 | 87 | 72 | 69 | 84 | 73 | 71 | 54 | 69 | 70 | 59 | 72 | 69 | 67 | 0 | 40 | 72 | 100.00 | 925,000$/3yrs | |
0 | ![]() | C | 6' 2" | 198 | 19 | 69 | 43 | 82 | 67 | 80 | 76 | 79 | 68 | 80 | 69 | 63 | 66 | 71 | 59 | 62 | 0 | 40 | 71 | 100.00 | 3,425,000$/3yrs | |
0 | ![]() | C | 5' 11" | 170 | 18 | 53 | 38 | 89 | 72 | 66 | 87 | 82 | 71 | 76 | 69 | 62 | 58 | 72 | 59 | 61 | 0 | 40 | 70 | 100.00 | 3,775,000$/3yrs | |
0 | ![]() | D | 6' 2" | 217 | 21 | 80 | 48 | 76 | 73 | 84 | 85 | 87 | 72 | 30 | 78 | 69 | 71 | 56 | 63 | 65 | 0 | 40 | 76 | 99.00 | 1,744,166$/3yrs | |
0 | ![]() | D | 6' 0" | 194 | 28 | 58 | 39 | 82 | 75 | 73 | 88 | 81 | 74 | 30 | 79 | 70 | 83 | 55 | 77 | 69 | 0 | 40 | 76 | 99.41 | 5,950,000$/3yrs | |
0 | ![]() | D | 6' 0" | 210 | 30 | 75 | 46 | 65 | 74 | 78 | 89 | 83 | 73 | 30 | 75 | 70 | 72 | 58 | 79 | 74 | 0 | 40 | 76 | 100.00 | 9,000,000$/1yrs | |
0 | ![]() | D | 5' 11" | 181 | 21 | 58 | 39 | 80 | 76 | 70 | 85 | 88 | 74 | 30 | 82 | 69 | 68 | 57 | 63 | 66 | 0 | 40 | 75 | 100.00 | 1,775,000$/3yrs | |
0 | ![]() | D | 6' 1" | 187 | 25 | 72 | 39 | 90 | 65 | 75 | 82 | 81 | 64 | 30 | 72 | 62 | 63 | 52 | 71 | 66 | 0 | 40 | 71 | 100.00 | 2,700,000$/3yrs | |
0 | ![]() | D | 6' 6" | 221 | 21 | 73 | 48 | 86 | 64 | 97 | 81 | 74 | 62 | 30 | 63 | 58 | 65 | 54 | 63 | 68 | 0 | 40 | 70 | 100.00 | 863,333$/3yrs | |
Scratches | ||||||||||||||||||||||||||
0 | ![]() | D | 5' 11" | 179 | 19 | 63 | 39 | 88 | 70 | 69 | 76 | 72 | 68 | 30 | 66 | 61 | 59 | 52 | 61 | 62 | 0 | 40 | 70 | 85.12 | 1,744,167$/3yrs | |
0 | ![]() | D | 5' 11" | 183 | 19 | 57 | 39 | 89 | 67 | 71 | 77 | 69 | 66 | 30 | 63 | 58 | 64 | 55 | 60 | 63 | 0 | 40 | 68 | 100.00 | 894,167$/3yrs |
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 | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | 6' 2" | 203 | 29 | 88 | 93 | 95 | 88 | 88 | 87 | 78 | 84 | 0 | 40 | 76 | 100.00 | 4,350,000$/2yrs | |||||||
0 | ![]() | 6' 2" | 194 | 21 | 61 | 54 | 56 | 61 | 61 | 60 | 63 | 67 | 0 | 40 | 60 | 99.00 | 1,100,000$/3yrs | |||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Joel Bouchard | 62 | 69 | 70 | 61 | 45 | 73 | 1 | CAN | 45 | 1 | 525,000$ |
General Manager | Mathieu Meier |
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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 |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Logan Couture | 0 | C | 34 | 9 | 14 | 23 | -9 | 10 | 0 | 20 | 94 | 29 | 55 | 9.57% | 9 | 16.50 | 0 | 5 | 5 | 74 | 0 | 0 | 0 | 41 | 2 | 1 | 54.55% | 704 | 0 | 0 | 0 | 0 | 0.82 | 0 | 1 | ||
2 | Nikolaj Ehlers | 0 | LW | 34 | 8 | 10 | 18 | -2 | 8 | 0 | 15 | 71 | 29 | 56 | 11.27% | 2 | 16.52 | 4 | 3 | 7 | 63 | 0 | 0 | 0 | 16 | 0 | 1 | 30.30% | 33 | 0 | 0 | 0 | 0 | 0.64 | 2 | 3 | ||
3 | Timo Meier | 0 | LW/RW | 34 | 11 | 7 | 18 | -13 | 26 | 0 | 92 | 78 | 26 | 56 | 14.10% | 2 | 20.74 | 3 | 2 | 5 | 110 | 0 | 0 | 0 | 59 | 2 | 0 | 39.47% | 114 | 0 | 0 | 0 | 0 | 0.51 | 0 | 3 | ||
4 | Pierre-Luc Dubois | 0 | C/LW | 33 | 2 | 14 | 16 | -8 | 27 | 5 | 65 | 75 | 25 | 67 | 2.67% | 4 | 16.12 | 1 | 1 | 2 | 35 | 0 | 0 | 0 | 19 | 0 | 0 | 48.09% | 131 | 0 | 0 | 0 | 0 | 0.60 | 1 | 3 | ||
5 | Adam Fox | 0 | D | 34 | 7 | 5 | 12 | -15 | 8 | 0 | 19 | 40 | 18 | 27 | 17.50% | 31 | 21.98 | 5 | 1 | 6 | 102 | 0 | 0 | 0 | 104 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
6 | P.K. Subban | 0 | D | 27 | 6 | 6 | 12 | -9 | 40 | 0 | 74 | 31 | 10 | 22 | 19.35% | 35 | 22.83 | 3 | 3 | 6 | 85 | 0 | 0 | 0 | 52 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
7 | Kevin Hayes | 0 | C | 27 | 5 | 6 | 11 | -2 | 10 | 0 | 37 | 65 | 21 | 39 | 7.69% | 8 | 19.65 | 0 | 2 | 2 | 81 | 0 | 0 | 0 | 58 | 0 | 0 | 50.31% | 646 | 0 | 0 | 0 | 0 | 0.41 | 0 | 1 | ||
8 | Nate Schmidt | 0 | D | 17 | 4 | 6 | 10 | -2 | 14 | 0 | 11 | 30 | 11 | 21 | 13.33% | 23 | 22.73 | 1 | 1 | 2 | 49 | 0 | 0 | 0 | 43 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
9 | Kasperi Kapanen | 0 | LW/RW | 34 | 2 | 7 | 9 | -10 | 41 | 5 | 67 | 85 | 22 | 71 | 2.35% | 10 | 19.69 | 0 | 4 | 4 | 131 | 1 | 0 | 1 | 100 | 1 | 0 | 40.35% | 114 | 0 | 0 | 0 | 0 | 0.27 | 1 | 2 | ||
10 | Mikhail Sergachev | 0 | D | 34 | 1 | 8 | 9 | -21 | 27 | 5 | 100 | 48 | 20 | 34 | 2.08% | 41 | 22.92 | 0 | 3 | 3 | 108 | 0 | 1 | 1 | 86 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
11 | Colin White | 0 | C/RW | 34 | 3 | 4 | 7 | -14 | 10 | 0 | 31 | 40 | 18 | 25 | 7.50% | 7 | 11.62 | 1 | 0 | 1 | 43 | 0 | 0 | 0 | 22 | 0 | 0 | 51.85% | 135 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
12 | Jaden Schwartz | 0 | LW | 32 | 2 | 4 | 6 | -13 | 6 | 0 | 28 | 63 | 18 | 33 | 3.17% | 4 | 13.80 | 0 | 2 | 2 | 76 | 0 | 0 | 0 | 40 | 0 | 0 | 42.17% | 83 | 0 | 0 | 0 | 0 | 0.27 | 0 | 1 | ||
13 | Jack Hughes | 0 | C | 34 | 1 | 4 | 5 | -16 | 4 | 0 | 11 | 34 | 7 | 29 | 2.94% | 3 | 12.58 | 0 | 2 | 2 | 18 | 0 | 0 | 0 | 3 | 0 | 0 | 43.42% | 486 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
14 | Victor Olofsson | 0 | LW/RW | 34 | 1 | 4 | 5 | -5 | 0 | 0 | 10 | 38 | 9 | 21 | 2.63% | 1 | 7.96 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 31.25% | 16 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
15 | Jesperi Kotkaniemi | 0 | C | 34 | 1 | 3 | 4 | -10 | 10 | 0 | 33 | 31 | 10 | 23 | 3.23% | 6 | 9.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 51.57% | 351 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | ||
16 | Adam Boqvist | 0 | D | 23 | 1 | 2 | 3 | -11 | 6 | 0 | 17 | 5 | 3 | 3 | 20.00% | 16 | 15.34 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | ||
17 | Alex DeBrincat | 0 | LW/RW | 18 | 1 | 2 | 3 | -3 | 8 | 0 | 19 | 34 | 8 | 17 | 2.94% | 1 | 14.93 | 1 | 0 | 1 | 41 | 0 | 0 | 0 | 34 | 0 | 0 | 27.27% | 22 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | ||
18 | Nicolas Hague | 0 | D | 19 | 0 | 3 | 3 | -1 | 26 | 0 | 50 | 9 | 2 | 9 | 0.00% | 29 | 18.09 | 0 | 1 | 1 | 41 | 0 | 0 | 0 | 41 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | ||
19 | Markus Nutivaara | 0 | D | 9 | 0 | 2 | 2 | 0 | 0 | 0 | 9 | 6 | 1 | 2 | 0.00% | 7 | 15.65 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | ||
20 | Rasmus Sandin | 0 | D | 9 | 0 | 0 | 0 | -2 | 2 | 0 | 7 | 2 | 1 | 0 | 0.00% | 8 | 14.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 554 | 65 | 111 | 176 | -166 | 283 | 15 | 715 | 879 | 288 | 610 | 7.39% | 247 | 16.59 | 19 | 30 | 49 | 1081 | 1 | 1 | 2 | 771 | 9 | 3 | 48.71% | 2835 | 0 | 0 | 0 | 0 | 0.38 | 4 | 14 |
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 | Jake Allen | 21 | 6 | 13 | 2 | 0.905 | 2.90 | 1221 | 0 | 0 | 59 | 618 | 0 | 0 | 0 | 0.714 | 7 | 21 | 12 | 2 | 2 | 1 | |
2 | Filip Larsson | 3 | 1 | 2 | 0 | 0.892 | 2.67 | 180 | 0 | 0 | 8 | 74 | 0 | 0 | 0 | 0.000 | 0 | 3 | 1 | 0 | 0 | 0 | |
Team Total or Average | 24 | 7 | 15 | 2 | 0.903 | 2.87 | 1401 | 0 | 0 | 67 | 692 | 0 | 0 | 0 | 0.714 | 7 | 24 | 13 | 2 | 2 | 1 |
Projected Total Cap Hit | 81,232,855$ |
Projected Cap Space | 10,267,145$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 21 |
LTIR Players | 1 |
Player Name | Pos | Age | Cap Hit | 2019-2020 | 2020-2021 | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 | 2026-2027 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Boqvist ![]() | D | 19 | 1,744,167$ | 1,744,167$ | 1,744,167$ | 1,744,167$ | |||||
Adam Fox ![]() | D | 21 | 1,775,000$ | 1,775,000$ | 1,775,000$ | 1,775,000$ | |||||
Alex DeBrincat ![]() | LW/RW | 22 | 894,166$ | 894,166$ | 894,166$ | 894,166$ | |||||
Colin White ![]() | C/RW | 22 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | |||||
Filip Larsson ![]() | LW/RW | 21 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | |||||
Jack Hughes ![]() | C | 18 | 3,775,000$ | 3,775,000$ | 3,775,000$ | 3,775,000$ | |||||
Jaden Schwartz ![]() | LW | 27 | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | |||||
Jake Allen ![]() | C | 29 | 4,350,000$ | 4,350,000$ | 4,350,000$ | ||||||
Jesperi Kotkaniemi ![]() | C | 19 | 3,425,000$ | 3,425,000$ | 3,425,000$ | 3,425,000$ | |||||
Kasperi Kapanen ![]() | LW/RW | 23 | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | |||||
Kevin Hayes ![]() | C | 27 | 7,142,857$ | 7,142,857$ | |||||||
Logan Couture ![]() | C | 30 | 8,000,000$ | 8,000,000$ | 8,000,000$ | ||||||
Markus Nutivaara ![]() | D | 25 | 2,700,000$ | 2,700,000$ | 2,700,000$ | 2,700,000$ | |||||
Mikhail Sergachev ![]() | D | 21 | 1,744,166$ | 1,744,166$ | 1,744,166$ | 1,744,166$ | |||||
Nate Schmidt ![]() | D | 28 | 5,950,000$ | 5,950,000$ | 5,950,000$ | 5,950,000$ | |||||
Nicolas Hague ![]() | D | 21 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | |||||
Nikolaj Ehlers ![]() | LW | 23 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||||
P.K. Subban ![]() | D | 30 | 9,000,000$ | 9,000,000$ | |||||||
Pierre-Luc Dubois ![]() | C/LW | 21 | 3,394,166$ | 3,394,166$ | 3,394,166$ | 3,394,166$ | |||||
Rasmus Sandin ![]() | D | 19 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | |||||
Timo Meier ![]() | LW/RW | 23 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||||
Victor Olofsson ![]() | LW/RW | 24 | 925,000$ | 925,000$ | 925,000$ | 925,000$ |
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Priority | Type | Description |
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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 |
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1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 25 | 11 | 8 | 6 | 0 | 33 | 11 | 6 | 30 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 552 | 1126 | 49.02% | 558 | 1199 | 46.54% | 240 | 494 | 48.58% | 20 | 14 | 26 | 7 | 12 | 5 | 50.0% | 8.0% | 90.9% | 98.9 | Unlucky | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 3 | 1 | 0 | 65 | 23 | 19 | 23 | 0 | 55 | 5 | 14 | 35 | 8 | 3 | 37.50% | 7 | 4 | 42.86% | 1 | 552 | 1126 | 49.02% | 558 | 1199 | 46.54% | 240 | 494 | 48.58% | 49 | 35 | 44 | 13 | 25 | 13 | 66.7% | 7.7% | 90.9% | 98.6 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 29 | 7 | 7 | 15 | 0 | 42 | 8 | 8 | 26 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 552 | 1126 | 49.02% | 558 | 1199 | 46.54% | 240 | 494 | 48.58% | 25 | 17 | 22 | 6 | 12 | 6 | 14.3% | 3.4% | 85.7% | 89.2 | Unlucky | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 27 | 10 | 5 | 12 | 0 | 39 | 9 | 23 | 23 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 552 | 1126 | 49.02% | 558 | 1199 | 46.54% | 240 | 494 | 48.58% | 22 | 14 | 25 | 7 | 12 | 5 | 50.0% | 3.7% | 94.9% | 98.6 | DULL | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 14 | 8 | 10 | 0 | 30 | 5 | 14 | 15 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 552 | 1126 | 49.02% | 558 | 1199 | 46.54% | 240 | 494 | 48.58% | 19 | 12 | 27 | 7 | 12 | 5 | 0.0% | 0.0% | 90.0% | 90.0 | Unlucky | |
6 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 3 | 2 | 0 | 0 | 67 | 26 | 23 | 18 | 0 | 86 | 23 | 27 | 59 | 7 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 552 | 1126 | 49.02% | 558 | 1199 | 46.54% | 240 | 494 | 48.58% | 68 | 45 | 73 | 23 | 37 | 18 | 35.7% | 7.5% | 87.2% | 94.7 | Unlucky | |
7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 1 | 25 | 14 | 5 | 6 | 3 | 39 | 6 | 4 | 29 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 552 | 1126 | 49.02% | 558 | 1199 | 46.54% | 240 | 494 | 48.58% | 26 | 18 | 25 | 8 | 12 | 7 | 42.9% | 12.0% | 89.7% | 101.7 | FUN | |
8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 62 | 22 | 19 | 21 | 0 | 67 | 19 | 8 | 44 | 11 | 2 | 18.18% | 4 | 2 | 50.00% | 0 | 552 | 1126 | 49.02% | 558 | 1199 | 46.54% | 240 | 494 | 48.58% | 44 | 30 | 52 | 15 | 23 | 11 | 0.0% | 3.2% | 86.6% | 89.8 | Unlucky | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 44 | 9 | 15 | 20 | 0 | 57 | 22 | 16 | 44 | 9 | 1 | 11.11% | 8 | 3 | 62.50% | 0 | 552 | 1126 | 49.02% | 558 | 1199 | 46.54% | 240 | 494 | 48.58% | 43 | 28 | 50 | 15 | 25 | 11 | 42.9% | 9.1% | 87.7% | 96.8 | FUN | |
10 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 4 | 0.500 | 10 | 20 | 30 | 0 | 0 | 5 | 2 | 3 | 0 | 92 | 25 | 35 | 32 | 0 | 146 | 39 | 61 | 89 | 15 | 3 | 20.00% | 21 | 4 | 80.95% | 0 | 552 | 1126 | 49.02% | 558 | 1199 | 46.54% | 240 | 494 | 48.58% | 82 | 56 | 111 | 29 | 45 | 21 | 50.0% | 10.9% | 92.5% | 103.3 | LUCKY | |
11 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 14 | -10 | 2 | 0.333 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 67 | 17 | 25 | 25 | 0 | 99 | 21 | 22 | 84 | 9 | 2 | 22.22% | 11 | 2 | 81.82% | 0 | 552 | 1126 | 49.02% | 558 | 1199 | 46.54% | 240 | 494 | 48.58% | 64 | 43 | 76 | 21 | 38 | 18 | 14.3% | 6.0% | 85.9% | 91.8 | Unlucky | |
12 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 4 | 12 | -8 | 1 | 0.167 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 73 | 28 | 27 | 17 | 1 | 73 | 21 | 26 | 61 | 10 | 1 | 10.00% | 12 | 2 | 83.33% | 0 | 552 | 1126 | 49.02% | 558 | 1199 | 46.54% | 240 | 494 | 48.58% | 65 | 43 | 76 | 23 | 40 | 18 | 23.1% | 5.5% | 83.6% | 89.0 | Unlucky | |
13 | 5 | 1 | 2 | 0 | 1 | 0 | 0 | 1 | 11 | 15 | -4 | 5 | 0.500 | 11 | 18 | 29 | 0 | 0 | 3 | 2 | 5 | 2 | 120 | 37 | 46 | 34 | 10 | 150 | 41 | 30 | 122 | 17 | 2 | 11.76% | 15 | 2 | 86.67% | 0 | 552 | 1126 | 49.02% | 558 | 1199 | 46.54% | 240 | 494 | 48.58% | 113 | 76 | 131 | 36 | 60 | 30 | 40.9% | 9.2% | 90.0% | 99.2 | FUN | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 31 | 10 | 11 | 10 | 0 | 25 | 8 | 4 | 16 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 552 | 1126 | 49.02% | 558 | 1199 | 46.54% | 240 | 494 | 48.58% | 26 | 18 | 19 | 7 | 14 | 7 | 80.0% | 16.1% | 96.0% | 112.1 | LUCKY | |
15 | 3 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 8 | 6 | 2 | 5 | 0.833 | 8 | 13 | 21 | 0 | 0 | 3 | 1 | 3 | 2 | 111 | 34 | 34 | 39 | 8 | 71 | 30 | 22 | 71 | 16 | 3 | 18.75% | 11 | 2 | 81.82% | 0 | 552 | 1126 | 49.02% | 558 | 1199 | 46.54% | 240 | 494 | 48.58% | 79 | 58 | 70 | 22 | 38 | 19 | 55.6% | 7.2% | 91.5% | 98.8 | DULL | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 17 | 2 | 7 | 8 | 0 | 34 | 13 | 10 | 23 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 552 | 1126 | 49.02% | 558 | 1199 | 46.54% | 240 | 494 | 48.58% | 21 | 14 | 25 | 7 | 13 | 6 | 0.0% | 5.9% | 94.1% | 100.0 | DULL | |
_Vs Division | 12 | 3 | 5 | 0 | 1 | 1 | 1 | 1 | 28 | 33 | -5 | 12 | 0.500 | 28 | 46 | 74 | 0 | 0 | 7 | 9 | 10 | 4 | 340 | 103 | 114 | 116 | 18 | 333 | 98 | 82 | 272 | 50 | 9 | 18.00% | 41 | 11 | 73.17% | 1 | 552 | 1126 | 49.02% | 558 | 1199 | 46.54% | 240 | 494 | 48.58% | 286 | 198 | 297 | 88 | 149 | 74 | 46.3% | 8.2% | 90.1% | 98.3 | Unlucky | |
_Vs Conference | 20 | 5 | 11 | 0 | 1 | 1 | 1 | 1 | 43 | 61 | -18 | 16 | 0.400 | 43 | 74 | 117 | 0 | 0 | 13 | 14 | 14 | 4 | 532 | 166 | 178 | 181 | 18 | 582 | 159 | 158 | 454 | 72 | 12 | 16.67% | 68 | 16 | 76.47% | 1 | 552 | 1126 | 49.02% | 558 | 1199 | 46.54% | 240 | 494 | 48.58% | 468 | 320 | 493 | 148 | 253 | 124 | 40.8% | 8.1% | 89.5% | 97.6 | Unlucky | |
_Since Last GM Reset | 34 | 7 | 21 | 0 | 1 | 2 | 1 | 2 | 66 | 111 | -45 | 22 | 0.324 | 66 | 119 | 185 | 0 | 0 | 23 | 20 | 21 | 5 | 887 | 289 | 294 | 296 | 22 | 1046 | 281 | 295 | 771 | 124 | 19 | 15.32% | 123 | 27 | 78.05% | 1 | 552 | 1126 | 49.02% | 558 | 1199 | 46.54% | 240 | 494 | 48.58% | 774 | 529 | 859 | 255 | 426 | 207 | 35.9% | 7.4% | 89.4% | 96.8 | Unlucky | |
Total | 34 | 7 | 21 | 0 | 1 | 2 | 1 | 2 | 66 | 111 | -45 | 22 | 0.324 | 66 | 119 | 185 | 0 | 0 | 23 | 20 | 21 | 5 | 887 | 289 | 294 | 296 | 22 | 1046 | 281 | 295 | 771 | 124 | 19 | 15.32% | 123 | 27 | 78.05% | 1 | 552 | 1126 | 49.02% | 558 | 1199 | 46.54% | 240 | 494 | 48.58% | 774 | 529 | 859 | 255 | 426 | 207 | 35.9% | 7.4% | 89.4% | 96.8 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 1126 |
Neutral Zone Start | 494 |
Defensive Zone Start | 1199 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1350 |
Faceoffs Lost | 1469 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.5 | 9.57 |
2nd Period | 17.1 | 20.31 |
3rd Period | 25.9 | 30.68 |
Overtime | 26.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 1.9 | 2.67 |
Overtime | 2.0 | 2.83 |
Even Strenght Goal | 46 |
---|---|
PP Goal | 19 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 2 |
Lost | 7 | 14 |
Overtime Lost | 3 | 1 |
PP Attempt | 124 |
---|---|
PP Goal | 19 |
PK Attempt | 123 |
PK Goal Against | 27 |
Home | |
---|---|
Shots For | 26.1 |
Shots Against | 30.8 |
Goals For | 1.9 |
Goals Against | 3.3 |
Hits | 22.7 |
Shots Blocked | 8.3 |
Pim | 8.7 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-11-21 | @ | Sabres2,Bruins3 | RECAP | ||
2020-11-23 | @ | Predators4,Sabres3 (SO) | RECAP | ||
2020-11-25 | @ | Canadiens3,Sabres4 (OT) | RECAP | ||
2020-11-26 | @ | Sabres1,Blackhawks2 | RECAP | ||
2020-11-28 | @ | Maple Leafs6,Sabres3 | RECAP | ||
2020-11-30 | @ | Sabres2,Capitals3 | RECAP | ||
2020-12-03 | @ | Sabres3,Senators1 | RECAP | ||
2020-12-05 | @ | Panthers2,Sabres3 (SO) | RECAP | ||
2020-12-07 | @ | Sabres1,Kings6 | RECAP | ||
2020-12-09 | @ | Sabres3,Blackhawks6 | RECAP | ||
2020-12-10 | @ | Panthers3,Sabres2 (OT) | RECAP | ||
2020-12-12 | @ | Sabres2,Senators4 | RECAP | ||
2020-12-14 | @ | Hurricanes2,Sabres1 | RECAP | ||
2020-12-16 | @ | Jets4,Sabres1 | RECAP | ||
2020-12-19 | @ | Sabres1,Oilers4 | RECAP | ||
2020-12-20 | @ | Canadiens3,Sabres1 | RECAP | ||
2020-12-22 | @ | Sabres1,Golden Knights2 | RECAP | ||
2020-12-24 | @ | Jets4,Sabres3 (OT) | RECAP | ||
2020-12-26 | @ | Sabres3,Canadiens4 (SO) | RECAP | ||
2020-12-28 | @ | Maple Leafs2,Sabres1 | RECAP | ||
2020-12-30 | @ | Canadiens1,Sabres2 | RECAP | ||
2021-01-02 | @ | Sabres0,Islanders9 | RECAP | ||
2021-01-04 | @ | Panthers1,Sabres3 | RECAP | ||
2021-01-06 | @ | Blackhawks1,Sabres3 | RECAP | ||
2021-01-07 | @ | Sabres1,Canadiens4 | RECAP | ||
2021-01-10 | @ | Sabres0,Avalanche3 | RECAP | ||
2021-01-11 | @ | Islanders2,Sabres3 | RECAP | ||
2021-01-13 | @ | Blackhawks2,Sabres3 | RECAP | ||
2021-01-14 | @ | Sabres0,Jets4 | RECAP | ||
2021-01-17 | @ | Sabres1,Maple Leafs3 | RECAP | ||
2021-01-19 | @ | Sabres1,Oilers5 | RECAP | ||
2021-01-20 | @ | Islanders3,Sabres1 | RECAP | ||
2021-01-22 | @ | Sabres5,Penguins1 | RECAP | ||
2021-01-24 | @ | Bruins4,Sabres2 | RECAP | ||
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2021-05-01 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,232,855$ | 0$ | 81,232,855$ | 10,267,145$ |
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 | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
24 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,232,855$ | 81,232,855$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 81,232,855$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 99 | 480,929$ | 47,611,971$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
68,866,875$ | 81,232,855$ | 10,000,000$ | -58,866,875$ |
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DEFENSE | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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GOALIE | ||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 |
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 |
---|---|---|---|---|---|
Artemi Kniazev | |||||
Calen Addison | |||||
Filip Hallander | |||||
Graeme Clarke | |||||
Grigori Denisenko | |||||
Matthew Robertson | |||||
Nikola Pasic | |||||
Ryan Johnson | |||||
Ryan Merkley | |||||
Tuuka Tieksola |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 |
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 |
---|---|---|---|---|---|
Artemi Kniazev | |||||
Calen Addison | |||||
Filip Hallander | |||||
Graeme Clarke | |||||
Grigori Denisenko | |||||
Matthew Robertson | |||||
Nikola Pasic | |||||
Ryan Johnson | |||||
Ryan Merkley | |||||
Tuuka Tieksola |
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