|
|
|
|
|
Full Scoreboard »» |
Buffalo Sabres 26-19-3, 55pts · 9th in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 69 | 36 | 77 | 80 | 74 | 88 | 82 | 80 | 58 | 80 | 83 | 73 | 82 | 72 | 70 | 0 | 36 | 88 | 27 | 7,000,000$/7yrs | |||
![]() | 63 | C/RW | 98.00 | 65 | 34 | 85 | 74 | 89 | 82 | 90 | 74 | 85 | 75 | 75 | 87 | 74 | 78 | 76 | 0 | 62 | 86 | 30 | 5,250,000$/4yrs | |||
![]() | 0 | LW/RW | 98.00 | 87 | 32 | 87 | 71 | 74 | 80 | 87 | 76 | 57 | 80 | 75 | 63 | 76 | 78 | 76 | 0 | 63 | 84 | 31 | 5,500,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 66 | 32 | 89 | 70 | 72 | 81 | 90 | 72 | 71 | 79 | 70 | 81 | 71 | 73 | 72 | 0 | 79 | 83 | 28 | 3,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 81 | 37 | 75 | 69 | 76 | 80 | 90 | 69 | 58 | 71 | 71 | 80 | 70 | 78 | 75 | 0 | 31 | 82 | 31 | 4,000,000$/3yrs | |||
![]() | 91 | C | 100.00 | 65 | 32 | 83 | 79 | 69 | 79 | 87 | 74 | 57 | 79 | 71 | 65 | 72 | 60 | 58 | 0 | 66 | 82 | 21 | 925,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 83 | 46 | 74 | 66 | 81 | 75 | 90 | 71 | 61 | 75 | 70 | 69 | 70 | 85 | 82 | 0 | 65 | 81 | 35 | 2,000,000$/2yrs | |||
![]() | 25 | C/LW | 100.00 | 73 | 33 | 97 | 65 | 78 | 73 | 85 | 68 | 76 | 66 | 68 | 86 | 68 | 65 | 65 | 0 | 53 | 80 | 24 | 1,200,000$/1yrs | |||
![]() | 0 | C | 100.00 | 71 | 37 | 74 | 64 | 64 | 74 | 90 | 72 | 81 | 74 | 70 | 74 | 71 | 67 | 65 | 0 | 32 | 79 | 25 | 1,300,000$/1yrs | |||
![]() | 82 | C/LW | 100.00 | 72 | 35 | 78 | 68 | 80 | 77 | 87 | 69 | 79 | 71 | 71 | 61 | 70 | 62 | 60 | 0 | 54 | 78 | 22 | 4,000,000$/1yrs | |||
![]() | 26 | C/LW | 100.00 | 59 | 33 | 82 | 63 | 80 | 80 | 83 | 67 | 60 | 71 | 66 | 77 | 67 | 76 | 74 | 0 | 58 | 78 | 30 | 1,500,000$/2yrs | |||
![]() | 68 | RW | 100.00 | 69 | 39 | 76 | 72 | 66 | 67 | 67 | 68 | 42 | 71 | 70 | 59 | 71 | 56 | 54 | 0 | 20 | 77 | 20 | 925,000$/2yrs | |||
![]() | 6 | D | 98.00 | 69 | 34 | 89 | 68 | 72 | 90 | 90 | 71 | 30 | 73 | 60 | 85 | 65 | 68 | 67 | 0 | 68 | 84 | 25 | 3,750,000$/2yrs | |||
![]() | 2 | D | 100.00 | 65 | 33 | 89 | 67 | 79 | 89 | 90 | 70 | 30 | 74 | 50 | 81 | 60 | 79 | 78 | 0 | 62 | 83 | 31 | 4,000,000$/4yrs | |||
![]() | 26 | D | 100.00 | 71 | 32 | 79 | 70 | 75 | 81 | 73 | 66 | 30 | 71 | 58 | 76 | 62 | 72 | 70 | 0 | 51 | 81 | 28 | 2,700,000$/2yrs | |||
![]() | 0 | D | 100.00 | 77 | 33 | 91 | 61 | 85 | 85 | 80 | 65 | 30 | 68 | 61 | 80 | 63 | 81 | 80 | 0 | 59 | 81 | 32 | 2,750,000$/1yrs | |||
![]() | 58 | D | 100.00 | 63 | 32 | 93 | 69 | 72 | 86 | 81 | 64 | 30 | 75 | 69 | 67 | 67 | 68 | 67 | 0 | 67 | 80 | 25 | 1,200,000$/1yrs | |||
![]() | 52 | D | 100.00 | 77 | 44 | 77 | 61 | 91 | 78 | 81 | 61 | 30 | 66 | 60 | 68 | 61 | 65 | 63 | 0 | 19 | 76 | 24 | 1,500,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 96.00 | 73 | 34 | 87 | 84 | 86 | 88 | 90 | 80 | 89 | 81 | 81 | 82 | 80 | 75 | 83 | 0 | 63 | 90 | 29 | 7,750,000$/8yrs | |||
![]() | 0 | C | 97.00 | 67 | 33 | 81 | 77 | 79 | 84 | 90 | 78 | 89 | 79 | 78 | 87 | 78 | 76 | 81 | 0 | 59 | 88 | 29 | 5,000,000$/5yrs | |||
![]() | 0 | C/LW | 100.00 | 64 | 33 | 93 | 69 | 76 | 78 | 77 | 67 | 56 | 70 | 66 | 72 | 66 | 66 | 65 | 0 | 19 | 78 | 24 | 1,500,000$/1yrs | |||
![]() | 0 | D | 97.00 | 69 | 34 | 75 | 79 | 87 | 93 | 90 | 77 | 30 | 85 | 67 | 83 | 72 | 74 | 72 | 0 | 63 | 89 | 29 | 6,500,000$/8yrs | |||
TEAM AVERAGE | 99.27 | 71 | 35 | 83 | 70 | 78 | 81 | 85 | 71 | 56 | 74 | 69 | 75 | 70 | 72 | 71 | 0 | 52 | 82 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 30 | 99.00 | 81 | 71 | 70 | 87 | 76 | 76 | 78 | 79 | 79 | 78 | 78 | 75 | 79 | 0 | 41 | 81 | 29 | 2,500,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 95.00 | 91 | 95 | 81 | 75 | 90 | 85 | 91 | 92 | 91 | 92 | 91 | 83 | 88 | 0 | 46 | 92 | 34 | 10,000,000$/4yrs |
TEAM AVERAGE | 97.00 | 86 | 83 | 76 | 81 | 83 | 81 | 85 | 86 | 85 | 85 | 85 | 79 | 84 | 0 | 44 | 87 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter Laviolette | 87 | 83 | 87 | 85 | 93 | 84 | 83 | CAN | 56 | 2 | 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 | Tyler Bertuzzi | 0 | LW/RW | 48 | 17 | 28 | 45 | -4 | 42 | 0 | 67 | 169 | 57 | 151 | 10.06% | 10 | 19.30 | 5 | 9 | 14 | 140 | 0 | 0 | 0 | 3 | 2 | 0 | 37.10% | 62 | 0 | 0 | 0 | 0 | 0.97 | 0 | 1 | |
2 | Tomas Hertl | 0 | C/LW/RW | 45 | 16 | 14 | 30 | 2 | 10 | 0 | 24 | 192 | 43 | 124 | 8.33% | 16 | 22.63 | 2 | 5 | 7 | 139 | 0 | 0 | 0 | 114 | 0 | 0 | 55.15% | 651 | 0 | 0 | 0 | 0 | 0.59 | 2 | 2 | |
3 | Charlie Coyle | 63 | C/RW | 43 | 12 | 16 | 28 | -5 | 16 | 0 | 37 | 151 | 36 | 83 | 7.95% | 12 | 21.16 | 3 | 3 | 6 | 135 | 0 | 0 | 0 | 102 | 5 | 0 | 54.03% | 472 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
4 | Hampus Lindholm | 0 | D | 47 | 3 | 25 | 28 | -5 | 59 | 5 | 98 | 85 | 23 | 51 | 3.53% | 59 | 24.65 | 1 | 9 | 10 | 160 | 0 | 0 | 0 | 105 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
5 | Blake Coleman | 0 | LW/RW | 50 | 10 | 17 | 27 | 0 | 32 | 0 | 90 | 97 | 25 | 64 | 10.31% | 8 | 12.94 | 2 | 1 | 3 | 55 | 0 | 0 | 0 | 76 | 3 | 0 | 41.96% | 112 | 0 | 0 | 1 | 0 | 0.83 | 0 | 0 | |
6 | Phillip Danault | 0 | C | 47 | 8 | 18 | 26 | -3 | 16 | 10 | 34 | 164 | 42 | 105 | 4.88% | 13 | 22.58 | 2 | 5 | 7 | 150 | 0 | 0 | 0 | 104 | 2 | 0 | 52.23% | 1367 | 0 | 0 | 0 | 0 | 0.49 | 2 | 3 | |
7 | Nick Leddy | 2 | D | 48 | 7 | 16 | 23 | -1 | 16 | 0 | 56 | 41 | 15 | 33 | 17.07% | 59 | 21.84 | 4 | 4 | 8 | 127 | 0 | 0 | 0 | 104 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
8 | Nick Foligno | 0 | C/LW/RW | 48 | 8 | 10 | 18 | 0 | 33 | 5 | 107 | 96 | 24 | 67 | 8.33% | 6 | 14.58 | 2 | 0 | 2 | 32 | 0 | 0 | 0 | 22 | 2 | 0 | 50.00% | 84 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
9 | John Marino | 6 | D | 48 | 4 | 14 | 18 | -5 | 31 | 5 | 51 | 52 | 23 | 48 | 7.69% | 63 | 23.96 | 3 | 3 | 6 | 139 | 0 | 0 | 0 | 117 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
10 | Oliver Kylington | 58 | D | 48 | 3 | 14 | 17 | -5 | 12 | 0 | 22 | 36 | 8 | 25 | 8.33% | 36 | 15.48 | 1 | 5 | 6 | 63 | 0 | 0 | 0 | 34 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
11 | Mattias Janmark | 26 | C/LW | 48 | 8 | 8 | 16 | 6 | 4 | 0 | 5 | 62 | 22 | 54 | 12.90% | 6 | 12.31 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 52 | 1 | 0 | 53.45% | 58 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
12 | Jason Zucker | 0 | LW/RW | 47 | 3 | 12 | 15 | 3 | 17 | 5 | 101 | 79 | 25 | 61 | 3.80% | 1 | 17.24 | 0 | 1 | 1 | 95 | 0 | 0 | 0 | 17 | 0 | 0 | 47.25% | 91 | 0 | 0 | 0 | 0 | 0.37 | 0 | 2 | |
13 | Alexander Kerfoot | 0 | C/LW | 46 | 8 | 6 | 14 | 0 | 2 | 0 | 12 | 73 | 11 | 39 | 10.96% | 4 | 10.19 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 17 | 2 | 0 | 46.48% | 71 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
14 | Marco Scandella | 0 | D | 48 | 1 | 10 | 11 | 0 | 26 | 0 | 87 | 28 | 14 | 15 | 3.57% | 59 | 17.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 116 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
15 | Cole Perfetti | 91 | C | 48 | 5 | 6 | 11 | -1 | 10 | 0 | 42 | 41 | 11 | 36 | 12.20% | 7 | 10.99 | 0 | 1 | 1 | 57 | 0 | 0 | 0 | 0 | 1 | 1 | 36.62% | 71 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
16 | Sean Walker | 26 | D | 36 | 0 | 10 | 10 | 0 | 18 | 0 | 67 | 25 | 9 | 17 | 0.00% | 33 | 18.95 | 0 | 0 | 0 | 98 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
17 | Jesperi Kotkaniemi | 82 | C/LW | 46 | 6 | 3 | 9 | -5 | 6 | 0 | 32 | 46 | 7 | 27 | 13.04% | 2 | 8.99 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 22 | 1 | 0 | 43.45% | 290 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
18 | Ryan Poehling | 25 | C/LW | 42 | 3 | 3 | 6 | 9 | 2 | 0 | 19 | 46 | 18 | 34 | 6.52% | 8 | 10.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | 0 | 1 | 48.92% | 278 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
19 | Cal Foote | 52 | D | 13 | 0 | 2 | 2 | -6 | 12 | 0 | 22 | 3 | 2 | 3 | 0.00% | 10 | 14.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
20 | Blake Lizotte | 0 | C | 20 | 1 | 1 | 2 | -1 | 2 | 0 | 9 | 18 | 5 | 7 | 5.56% | 2 | 6.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53.04% | 115 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
21 | Fabian Lysell | 68 | RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 8.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 867 | 123 | 233 | 356 | -22 | 366 | 30 | 982 | 1505 | 420 | 1044 | 8.17% | 414 | 16.64 | 25 | 46 | 71 | 1415 | 0 | 0 | 0 | 1093 | 21 | 4 | 50.94% | 3722 | 0 | 0 | 1 | 0 | 0.49 | 4 | 8 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Sergei Bobrovsky | 36 | 18 | 14 | 2 | 0.907 | 2.52 | 2074 | 6 | 2 | 87 | 937 | 0 | 2 | 3 | 0.917 | 12 | 34 | 12 | 2 | 3 | 0 | |
2 | Laurent Brossoit | 16 | 8 | 5 | 1 | 0.920 | 2.46 | 831 | 2 | 3 | 34 | 426 | 0 | 0 | 0 | 0.000 | 0 | 14 | 29 | 4 | 1 | 1 | |
Team Total or Average | 52 | 26 | 19 | 3 | 0.911 | 2.50 | 2905 | 8 | 5 | 121 | 1363 | 0 | 2 | 3 | 0.917 | 12 | 48 | 41 | 6 | 4 | 1 |
Projected Total Cap Hit | 71,464,241$ |
Projected Cap Space | 11,035,759$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 43,772,213$ |
Players In Salary Cap | 23 |
LTIR Players | 2 |
Sabres Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Kerfoot | C/LW | 28 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Blake Coleman | LW/RW | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Blake Lizotte | C | 25 | 1,300,000$ | 1,300,000$ | ![]() | ||||||
Cal Foote | D | 24 | 1,500,000$ | 1,500,000$ | RFA | ||||||
Charlie Coyle | C/RW | 30 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||
Cole Perfetti ![]() | C | 21 | 925,000$ | 925,000$ | RFA | ||||||
Fabian Lysell ![]() | RW | 20 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Hampus Lindholm | D | 29 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ |
Janne Kuokkanen | C/LW | 24 | 1,500,000$ | 1,500,000$ | ![]() | ||||||
Jason Zucker | LW/RW | 31 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Jesperi Kotkaniemi | C/LW | 22 | 4,000,000$ | 4,000,000$ | RFA | ||||||
John Marino | D | 25 | 3,750,000$ | 3,750,000$ | 3,750,000$ | ![]() | |||||
Laurent Brossoit | G | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Marco Scandella | D | 32 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Mattias Janmark | C/LW | 30 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Nick Foligno | C/LW/RW | 35 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Nick Leddy | D | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Oliver Kylington ![]() | D | 25 | 1,200,000$ | 1,200,000$ | ![]() | ||||||
Phillip Danault | C | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||
Ryan Poehling ![]() | C/LW | 24 | 1,200,000$ | 1,200,000$ | RFA | ||||||
Sean Walker | D | 28 | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | |||||
Sergei Bobrovsky ![]() | G | 34 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | UFA | |||
Tomas Hertl ![]() | C/LW/RW | 29 | 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$ |
Tyler Bertuzzi | LW/RW | 27 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aidan Dudas ![]() | LW | 22 | 786,667$ | 786,667$ | RFA | ||||||
Alex Beaucage ![]() | RW | 21 | 878,333$ | 878,333$ | 878,333$ | RFA | |||||
Anders Bjork ![]() ![]() | LW/RW | 26 | 950,000$ | 950,000$ | ![]() | ||||||
Cory Schneider ![]() | G | 36 | 750,000$ | 750,000$ | UFA | ||||||
Daemon Hunt ![]() | D | 20 | 850,833$ | 850,833$ | 850,833$ | RFA | |||||
Dawson DiPietro ![]() | C | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Dillon Hamaliuk ![]() | LW | 22 | 795,000$ | 795,000$ | 795,000$ | RFA | |||||
Drew Helleson ![]() | D | 21 | 750,000$ | 750,000$ | RFA | ||||||
Dustin Wolf ![]() ![]() | G | 21 | 813,333$ | 813,333$ | 813,333$ | RFA | |||||
Ethan Keppen ![]() | LW | 21 | 750,000$ | 750,000$ | RFA | ||||||
Glenn Gawdin ![]() | C/LW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Graeme Clarke ![]() | RW | 21 | 850,000$ | 850,000$ | RFA | ||||||
Guillaume Brisebois ![]() | D | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Ian Mitchell ![]() | D | 24 | 925,000$ | 925,000$ | RFA | ||||||
Jakob Pelletier ![]() | C | 21 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Jeremy Bracco ![]() | RW | 25 | 875,000$ | 875,000$ | ![]() | ||||||
Jonas Johansson ![]() | G | 27 | 975,000$ | 975,000$ | ![]() | ||||||
Joseph Gambardella ![]() | C | 29 | 750,000$ | 750,000$ | UFA | ||||||
Josh Wilkins ![]() | C | 25 | 875,000$ | 875,000$ | ![]() | ||||||
Ken Appleby ![]() | G | 27 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Kevin Connauton ![]() | D | 32 | 760,000$ | 760,000$ | 760,000$ | UFA | |||||
Kole Lind ![]() | RW | 24 | 800,000$ | 800,000$ | RFA | ||||||
Lauri Pajuniemi ![]() | RW | 23 | 883,750$ | 883,750$ | RFA | ||||||
Luke Henman ![]() | C | 22 | 791,667$ | 791,667$ | 791,667$ | RFA | |||||
Mac Hollowell ![]() | D | 24 | 750,000$ | 750,000$ | RFA | ||||||
Max Gildon ![]() | D | 23 | 853,333$ | 853,333$ | RFA | ||||||
Nathan Smith ![]() | C | 24 | 883,750$ | 883,750$ | RFA | ||||||
Simon Holmstrom ![]() | RW | 21 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Spencer Foo ![]() | C/RW | 28 | 1,350,000$ | 1,350,000$ | UFA | ||||||
Steven Fogarty ![]() ![]() | C | 29 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Tristen Robins ![]() | C | 21 | 828,333$ | 828,333$ | 828,333$ | RFA | |||||
Tye Kartye ![]() | LW | 21 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Zack Hayes ![]() | D | 23 | 805,000$ | 805,000$ | RFA |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
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 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 29 | 8 | 14 | 7 | 0 | 32 | 12 | 4 | 19 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 20 | 13 | 26 | 7 | 13 | 6 | 16.7% | 6.9% | 81.3% | 88.1 | Unlucky | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 6 | 13 | 7 | 0 | 32 | 8 | 6 | 19 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 24 | 17 | 22 | 7 | 12 | 6 | 0.0% | 0.0% | 90.6% | 90.6 | Unlucky | |
3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 4 | 0.667 | 7 | 12 | 19 | 0 | 0 | 2 | 3 | 2 | 0 | 92 | 31 | 22 | 39 | 0 | 97 | 29 | 16 | 64 | 9 | 2 | 22.22% | 8 | 2 | 75.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 70 | 47 | 69 | 22 | 40 | 20 | 50.0% | 7.6% | 92.8% | 100.4 | DULL | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 28 | 6 | 15 | 7 | 0 | 31 | 16 | 6 | 17 | 6 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 21 | 14 | 26 | 8 | 11 | 6 | 66.7% | 7.1% | 96.8% | 103.9 | DULL | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 19 | 4 | 6 | 9 | 0 | 30 | 6 | 12 | 23 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 22 | 15 | 24 | 7 | 13 | 6 | 33.3% | 5.3% | 90.0% | 95.3 | Unlucky | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 10 | 15 | 0 | 1 | 2 | 2 | 1 | 0 | 42 | 12 | 11 | 19 | 0 | 55 | 12 | 8 | 35 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 47 | 34 | 48 | 14 | 24 | 12 | 71.4% | 11.9% | 96.4% | 108.3 | LUCKY | |
7 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.333 | 7 | 12 | 19 | 0 | 1 | 1 | 3 | 3 | 0 | 98 | 29 | 39 | 30 | 0 | 70 | 26 | 26 | 47 | 12 | 1 | 8.33% | 12 | 3 | 75.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 77 | 54 | 64 | 22 | 37 | 18 | 54.5% | 7.1% | 88.6% | 95.7 | Unlucky | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 51 | 16 | 22 | 13 | 0 | 49 | 12 | 8 | 41 | 10 | 1 | 10.00% | 4 | 0 | 100.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 47 | 32 | 45 | 16 | 27 | 13 | 33.3% | 5.9% | 91.8% | 97.7 | DULL | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 5 | 8 | 0 | 1 | 2 | 0 | 1 | 0 | 29 | 12 | 8 | 9 | 0 | 25 | 5 | 4 | 31 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 26 | 19 | 21 | 7 | 11 | 5 | 100.0% | 10.3% | 100.0% | 110.3 | LUCKY | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 29 | 5 | 15 | 9 | 0 | 27 | 7 | 8 | 18 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 26 | 19 | 21 | 6 | 12 | 6 | 60.0% | 10.3% | 92.6% | 102.9 | LUCKY | |
11 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 5 | 1 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 3 | 0 | 57 | 16 | 24 | 16 | 1 | 59 | 12 | 6 | 36 | 13 | 3 | 23.08% | 3 | 0 | 100.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 48 | 33 | 45 | 15 | 28 | 14 | 37.5% | 10.5% | 91.5% | 102.1 | LUCKY | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 39 | 10 | 12 | 17 | 0 | 23 | 8 | 6 | 21 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 25 | 16 | 21 | 6 | 13 | 7 | 66.7% | 5.1% | 95.7% | 100.8 | DULL | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 26 | 9 | 7 | 10 | 0 | 22 | 7 | 8 | 16 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 24 | 15 | 21 | 8 | 14 | 7 | 80.0% | 15.4% | 95.5% | 110.8 | LUCKY | |
14 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 7 | 1 | 4 | 0.667 | 8 | 13 | 21 | 0 | 0 | 2 | 3 | 2 | 1 | 92 | 24 | 33 | 34 | 3 | 67 | 22 | 23 | 42 | 10 | 1 | 10.00% | 9 | 1 | 88.89% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 76 | 54 | 68 | 22 | 39 | 18 | 53.8% | 8.7% | 89.6% | 98.2 | Unlucky | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 27 | 8 | 5 | 14 | 0 | 22 | 14 | 2 | 21 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 24 | 17 | 23 | 6 | 11 | 5 | 100.0% | 3.7% | 100.0% | 103.7 | DULL | |
16 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 1 | 3 | 0 | 2 | 46 | 13 | 16 | 13 | 6 | 63 | 10 | 10 | 40 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 45 | 32 | 54 | 14 | 24 | 12 | 44.4% | 10.9% | 88.9% | 99.8 | FUN | |
17 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 8 | -4 | 1 | 0.250 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 51 | 19 | 13 | 19 | 0 | 73 | 23 | 16 | 46 | 11 | 1 | 9.09% | 7 | 3 | 57.14% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 43 | 28 | 50 | 15 | 26 | 12 | 37.5% | 7.8% | 89.0% | 96.9 | Unlucky | |
18 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 1 | 0 | 2 | 1 | 2 | 0 | 47 | 20 | 15 | 12 | 0 | 56 | 23 | 16 | 49 | 5 | 1 | 20.00% | 8 | 1 | 87.50% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 44 | 29 | 49 | 13 | 25 | 12 | 44.4% | 10.6% | 89.3% | 99.9 | FUN | |
19 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 1 | 3 | 2 | 0 | 49 | 11 | 20 | 18 | 0 | 71 | 18 | 20 | 48 | 4 | 1 | 25.00% | 8 | 1 | 87.50% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 44 | 28 | 48 | 14 | 27 | 13 | 35.7% | 12.2% | 85.9% | 98.2 | FUN | |
20 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 7 | 12 | 0 | 0 | 2 | 1 | 1 | 1 | 54 | 16 | 12 | 17 | 11 | 66 | 18 | 17 | 35 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 50 | 37 | 53 | 14 | 26 | 12 | 50.0% | 9.3% | 92.4% | 101.7 | LUCKY | |
21 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 1 | 0 | 1 | 1 | 3 | 2 | 42 | 13 | 15 | 11 | 7 | 64 | 13 | 21 | 42 | 3 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 48 | 32 | 48 | 15 | 28 | 13 | 50.0% | 14.3% | 89.1% | 103.3 | FUN | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 3 | 0 | 27 | 10 | 6 | 11 | 0 | 24 | 10 | 6 | 26 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 22 | 15 | 25 | 7 | 11 | 5 | 66.7% | 11.1% | 95.8% | 106.9 | LUCKY | |
23 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 38 | 13 | 6 | 19 | 0 | 30 | 12 | 6 | 19 | 5 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 26 | 17 | 19 | 7 | 13 | 7 | 80.0% | 10.5% | 93.3% | 103.9 | LUCKY | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 0 | 2 | 0 | 0 | 26 | 5 | 12 | 9 | 0 | 23 | 3 | 10 | 16 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 23 | 16 | 23 | 6 | 12 | 6 | 33.3% | 7.7% | 82.6% | 90.3 | Unlucky | |
25 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 18 | 3 | 7 | 8 | 0 | 26 | 7 | 10 | 17 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 25 | 17 | 22 | 7 | 12 | 6 | 25.0% | 5.6% | 88.5% | 94.0 | Unlucky | |
26 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 2 | 4 | 3 | 0 | 113 | 34 | 43 | 36 | 0 | 85 | 24 | 37 | 70 | 13 | 4 | 30.77% | 8 | 1 | 87.50% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 72 | 50 | 69 | 23 | 38 | 19 | 41.7% | 8.0% | 90.6% | 98.6 | Unlucky | |
27 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 0 | 2 | 0 | 0 | 31 | 10 | 11 | 10 | 0 | 20 | 9 | 8 | 25 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 25 | 17 | 21 | 7 | 12 | 6 | 100.0% | 6.5% | 100.0% | 106.5 | DULL | |
28 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 5 | 3 | 0 | 0 | 47 | 16 | 16 | 15 | 0 | 61 | 20 | 16 | 34 | 4 | 1 | 25.00% | 7 | 3 | 57.14% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 46 | 32 | 47 | 14 | 25 | 13 | 53.8% | 17.0% | 85.2% | 102.3 | FUN | |
29 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 0 | 1 | 45 | 17 | 11 | 14 | 3 | 63 | 14 | 14 | 27 | 8 | 2 | 25.00% | 7 | 2 | 71.43% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 46 | 32 | 51 | 15 | 24 | 11 | 33.3% | 6.7% | 93.7% | 100.3 | DULL | |
_Vs Division | 16 | 6 | 7 | 0 | 0 | 1 | 2 | 0 | 36 | 40 | -4 | 17 | 0.531 | 36 | 61 | 97 | 1 | 1 | 11 | 11 | 12 | 2 | 452 | 139 | 150 | 153 | 14 | 431 | 137 | 116 | 295 | 53 | 7 | 13.21% | 50 | 8 | 84.00% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 392 | 273 | 373 | 118 | 208 | 103 | 47.5% | 8.0% | 90.7% | 98.7 | Unlucky | |
_Vs Conference | 25 | 10 | 11 | 0 | 0 | 1 | 3 | 0 | 57 | 62 | -5 | 27 | 0.540 | 57 | 95 | 152 | 2 | 2 | 16 | 16 | 22 | 4 | 709 | 214 | 250 | 232 | 21 | 698 | 209 | 202 | 497 | 87 | 13 | 14.94% | 78 | 11 | 85.90% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 609 | 422 | 587 | 187 | 323 | 160 | 46.3% | 8.0% | 91.1% | 99.2 | Unlucky | |
_Since Last GM Reset | 48 | 21 | 19 | 0 | 1 | 3 | 4 | 0 | 117 | 124 | -7 | 55 | 0.573 | 117 | 204 | 321 | 3 | 5 | 34 | 40 | 38 | 7 | 1318 | 396 | 449 | 452 | 31 | 1366 | 400 | 350 | 944 | 170 | 25 | 14.71% | 143 | 24 | 83.22% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 1152 | 795 | 1136 | 355 | 621 | 310 | 47.9% | 8.9% | 90.9% | 99.8 | Unlucky | |
Total | 48 | 21 | 19 | 0 | 1 | 3 | 4 | 0 | 117 | 124 | -7 | 55 | 0.573 | 117 | 204 | 321 | 3 | 5 | 34 | 40 | 38 | 7 | 1318 | 396 | 449 | 452 | 31 | 1366 | 400 | 350 | 944 | 170 | 25 | 14.71% | 143 | 24 | 83.22% | 0 | 738 | 1575 | 46.86% | 822 | 1571 | 52.32% | 348 | 716 | 48.60% | 1152 | 795 | 1136 | 355 | 621 | 310 | 47.9% | 8.9% | 90.9% | 99.8 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1575 |
Neutral Zone Start | 716 |
Defensive Zone Start | 1571 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1908 |
Faceoffs Lost | 1954 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.3 | 9.57 |
2nd Period | 17.6 | 20.31 |
3rd Period | 27.0 | 30.68 |
Overtime | 27.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 89 |
---|---|
PP Goal | 25 |
PK Goal | 0 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 15 | 11 |
Lost | 7 | 12 |
Overtime Lost | 3 | 0 |
PP Attempt | 170 |
---|---|
PP Goal | 25 |
PK Attempt | 143 |
PK Goal Against | 24 |
Home | |
---|---|
Shots For | 27.5 |
Shots Against | 28.5 |
Goals For | 2.4 |
Goals Against | 2.6 |
Hits | 19.7 |
Shots Blocked | 8.3 |
Pim | 7.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-10-13 | @ | Senators4,Sabres1 | RECAP | |||||||||||
2022-10-15 | @ | Panthers2,Sabres3 (SO) | RECAP | |||||||||||
2022-10-18 | @ | Sabres1,Oilers0 | RECAP | |||||||||||
2022-10-20 | @ | Sabres2,Flames6 | RECAP | |||||||||||
2022-10-22 | @ | Sabres4,Canucks2 | RECAP | |||||||||||
2022-10-25 | @ | Sabres3,Kraken2 (OT) | RECAP | |||||||||||
2022-10-27 | @ | Canadiens1,Sabres2 | RECAP | |||||||||||
2022-10-29 | @ | Blackhawks6,Sabres3 | RECAP | |||||||||||
2022-10-31 | @ | Red Wings6,Sabres2 | RECAP | |||||||||||
2022-11-02 | @ | Penguins4,Sabres5 | RECAP | |||||||||||
2022-11-04 | @ | Sabres1,Hurricanes3 | RECAP | |||||||||||
2022-11-05 | @ | Sabres2,Lightning3 | RECAP | |||||||||||
2022-11-08 | @ | Coyotes4,Sabres3 (OT) | RECAP | |||||||||||
2022-11-10 | @ | Golden Knights4,Sabres5 | RECAP | |||||||||||
2022-11-12 | @ | Bruins3,Sabres1 | RECAP | |||||||||||
2022-11-15 | @ | Canucks3,Sabres2 (OT) | RECAP | |||||||||||
2022-11-16 | @ | Sabres4,Senators2 | RECAP | |||||||||||
2022-11-19 | @ | Sabres1,Maple Leafs3 | RECAP | |||||||||||
2022-11-22 | @ | Sabres1,Canadiens3 | RECAP | |||||||||||
2022-11-23 | @ | Blues1,Sabres2 (SO) | RECAP | |||||||||||
2022-11-25 | @ | Devils3,Sabres0 | RECAP | |||||||||||
2022-11-28 | @ | Lightning3,Sabres4 (SO) | RECAP | |||||||||||
2022-11-30 | @ | Sabres1,Red Wings2 | RECAP | |||||||||||
2022-12-01 | @ | Avalanche2,Sabres4 | RECAP | |||||||||||
2022-12-04 | @ | Sharks0,Sabres2 | RECAP | |||||||||||
2022-12-07 | @ | Sabres4,Blue Jackets3 (SO) | RECAP | |||||||||||
2022-12-09 | @ | Penguins2,Sabres1 | RECAP | |||||||||||
2022-12-10 | @ | Sabres3,Penguins2 | RECAP | |||||||||||
2022-12-13 | @ | Kings1,Sabres2 | RECAP | |||||||||||
2022-12-15 | @ | Sabres1,Avalanche0 | RECAP | |||||||||||
2022-12-17 | @ | Sabres1,Coyotes4 | RECAP | |||||||||||
2022-12-19 | @ | Sabres3,Golden Knights5 | RECAP | |||||||||||
2022-12-23 | @ | Lightning1,Sabres2 | RECAP | |||||||||||
2022-12-27 | @ | Sabres2,Blue Jackets4 | RECAP | |||||||||||
2022-12-29 | @ | Red Wings0,Sabres4 | RECAP | |||||||||||
2022-12-31 | @ | Sabres4,Bruins3 | RECAP | |||||||||||
2023-01-01 | @ | Sabres2,Senators1 | RECAP | |||||||||||
2023-01-03 | @ | Sabres3,Capitals0 | RECAP | |||||||||||
2023-01-07 | @ | Wild2,Sabres3 | RECAP | |||||||||||
2023-01-10 | @ | Kraken2,Sabres0 | RECAP | |||||||||||
2023-01-12 | @ | Jets1,Sabres3 | RECAP | |||||||||||
2023-01-14 | @ | Sabres4,Predators1 | RECAP | |||||||||||
2023-01-16 | @ | Panthers3,Sabres2 (OT) | RECAP | |||||||||||
2023-01-17 | @ | Sabres3,Blackhawks4 | RECAP | |||||||||||
2023-01-19 | @ | Islanders1,Sabres2 | RECAP | |||||||||||
2023-01-21 | @ | Ducks2,Sabres4 | RECAP | |||||||||||
2023-01-23 | @ | Sabres2,Stars4 | RECAP | |||||||||||
2023-01-24 | @ | Sabres3,Blues6 | RECAP | |||||||||||
2023-01-26 | @ | |||||||||||||
2023-01-28 | @ | |||||||||||||
2023-02-01 | @ | |||||||||||||
2023-02-11 | @ | |||||||||||||
2023-02-13 | @ | |||||||||||||
2023-02-15 | @ | |||||||||||||
2023-02-18 | @ | |||||||||||||
2023-02-21 | @ | |||||||||||||
2023-02-23 | @ | |||||||||||||
2023-02-24 | @ | |||||||||||||
2023-02-26 | @ | |||||||||||||
2023-02-28 | @ | |||||||||||||
2023-03-02 | @ | |||||||||||||
2023-03-04 | @ | |||||||||||||
2023-03-06 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-03-07 | @ | |||||||||||||
2023-03-09 | @ | |||||||||||||
2023-03-11 | @ | |||||||||||||
2023-03-13 | @ | |||||||||||||
2023-03-15 | @ | |||||||||||||
2023-03-17 | @ | |||||||||||||
2023-03-19 | @ | |||||||||||||
2023-03-21 | @ | |||||||||||||
2023-03-24 | @ | |||||||||||||
2023-03-25 | @ | |||||||||||||
2023-03-27 | @ | |||||||||||||
2023-03-31 | @ | |||||||||||||
2023-04-01 | @ | |||||||||||||
2023-04-04 | @ | |||||||||||||
2023-04-06 | @ | |||||||||||||
2023-04-08 | @ | |||||||||||||
2023-04-10 | @ | |||||||||||||
2023-04-11 | @ | |||||||||||||
2023-04-13 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
86,100,000$ | 0$ | 71,464,241$ | -3,600,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | KeyBank Center | |
City | Buffalo | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 143530 | 119838 | 47908 | 95717 | 23872 |
Attendance PCT | 95.69% | 95.87% | 95.82% | 95.72% | 95.49% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
16 | 17235 - 95.75% | 1,519,369$ | 37,984,230$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
86,100,000$ | 86,100,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
44,520,892$ | 355,026$ | 43,772,213$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
24,309,907$ | 78 | 460,847$ | 35,946,066$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
37,123,104$ | 86,100,000$ | 43,101,151$ | 30,287,954$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Adam Wilsby | 2020 | 136 | |||
Adam Zlnka | 2022 | 220 | |||
Alex Young | 2020 | 132 | |||
Ayrton Martino | 2021 | 43 | |||
Ben Hemmerling | 2022 | 205 | |||
Carl Lindbom | 2021 | 187 | |||
Christoffer Sedoff | 2020 | 176 | |||
Connor Lockhart | 2021 | 165 | |||
Cooper Moore | 2019 | 156 | |||
Cutter Gauthier | 2022 | 12 | |||
Daniel Ljungman | 2020 | 130 | |||
Danny Weight | 2020 | 164 | |||
Graham Sward | 2022 | 142 | |||
Henry Rybinski | 2019 | 111 | |||
Hugo Ollas | 2020 | 168 | |||
Jake Chiasson | 2021 | 121 | |||
Jalen Luypen | 2021 | 201 | |||
Jesper Wallstedt | 2021 | 6 | |||
Liam Arnsby | 2022 | 201 | |||
Liam Nilsson | 2021 | 118 | |||
Lucas Forsell | 2021 | 202 | |||
Marcus Kallionkieli | 2019 | 57 | 6.0 - 5.0 | ||
Mason Langenbrunner | |||||
Maxwell Crozier | 2019 | 131 | |||
Michal Gut | 2020 | 206 | |||
Miko Matikka | 2022 | 74 | |||
Niko Huuhtanen | 2021 | 188 | |||
Nils Aman | 2020 | 162 | |||
Noah Warren | 2022 | 26 | |||
Pavel Novak | 2020 | 100 | |||
Riley Piercey | 2020 | 193 | |||
Ryan Tverberg | |||||
Sean Farrell | 2020 | 69 | |||
Tnias Mathurin | 2022 | 173 | |||
Ty Voit | 2021 | 135 | |||
Tyson Dyck | 2022 | 196 | |||
Xavier Bouchard | 5.5 - 4.0 | ||||
Zachary Michaelis | 2020 | 194 |
|