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Full Scoreboard »» |
Buffalo Sabres 0-0-0, 0pts · 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 | C/LW | 100.00 | 68 | 32 | 82 | 86 | 69 | 87 | 89 | 82 | 85 | 81 | 86 | 80 | 84 | 69 | 74 | 0 | 73 | 90 | 25 | 8,454,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 73 | 34 | 84 | 84 | 86 | 88 | 90 | 79 | 90 | 81 | 80 | 80 | 79 | 75 | 83 | 0 | 67 | 89 | 29 | 7,750,000$/8yrs | |||
![]() | 0 | C | 100.00 | 69 | 38 | 78 | 75 | 79 | 86 | 90 | 77 | 88 | 77 | 77 | 82 | 77 | 77 | 81 | 0 | 63 | 87 | 30 | 5,000,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 70 | 37 | 78 | 78 | 74 | 86 | 84 | 78 | 58 | 80 | 79 | 70 | 79 | 73 | 71 | 0 | 37 | 86 | 28 | 7,000,000$/7yrs | |||
![]() | 0 | C | 100.00 | 64 | 32 | 95 | 72 | 74 | 85 | 88 | 73 | 87 | 79 | 71 | 80 | 72 | 77 | 76 | 0 | 31 | 84 | 30 | 5,900,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 78 | 36 | 76 | 70 | 76 | 80 | 90 | 70 | 59 | 71 | 73 | 79 | 72 | 78 | 76 | 0 | 21 | 83 | 31 | 4,000,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 32 | 89 | 67 | 72 | 80 | 90 | 71 | 61 | 77 | 69 | 80 | 70 | 74 | 73 | 0 | 80 | 82 | 28 | 3,500,000$/1yrs | |||
![]() | 82 | C/LW | 100.00 | 73 | 35 | 80 | 71 | 80 | 78 | 88 | 71 | 79 | 74 | 73 | 62 | 72 | 63 | 61 | 0 | 58 | 80 | 22 | 4,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 90 | 69 | 50 | 62 | 83 | 74 | 87 | 64 | 59 | 61 | 68 | 87 | 66 | 78 | 73 | 0 | 42 | 80 | 31 | 1,500,000$/1yrs | |||
![]() | 26 | C/LW | 100.00 | 58 | 35 | 86 | 65 | 80 | 79 | 86 | 69 | 60 | 72 | 69 | 74 | 69 | 76 | 75 | 0 | 59 | 79 | 30 | 1,500,000$/2yrs | |||
![]() | 25 | C/LW | 100.00 | 68 | 33 | 95 | 68 | 78 | 75 | 82 | 67 | 78 | 67 | 69 | 78 | 68 | 66 | 65 | 0 | 57 | 79 | 24 | 1,200,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 61 | 32 | 93 | 63 | 75 | 72 | 86 | 64 | 80 | 66 | 66 | 69 | 65 | 80 | 80 | 0 | 66 | 77 | 32 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 70 | 34 | 77 | 74 | 87 | 94 | 89 | 73 | 30 | 80 | 67 | 82 | 70 | 75 | 72 | 0 | 62 | 87 | 29 | 6,500,000$/8yrs | |||
![]() | 6 | D | 100.00 | 67 | 34 | 89 | 68 | 72 | 90 | 88 | 71 | 30 | 73 | 59 | 85 | 65 | 69 | 68 | 0 | 71 | 84 | 26 | 3,750,000$/2yrs | |||
![]() | 2 | D | 100.00 | 63 | 33 | 90 | 67 | 79 | 91 | 89 | 68 | 30 | 74 | 59 | 75 | 64 | 79 | 78 | 0 | 65 | 82 | 32 | 4,000,000$/4yrs | |||
![]() | 58 | D | 100.00 | 63 | 32 | 93 | 69 | 72 | 86 | 76 | 64 | 30 | 75 | 69 | 67 | 67 | 69 | 68 | 0 | 71 | 81 | 26 | 1,200,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 33 | 90 | 59 | 85 | 86 | 79 | 65 | 30 | 66 | 61 | 81 | 63 | 81 | 80 | 0 | 63 | 81 | 33 | 2,750,000$/1yrs | |||
![]() | 73 | D | 100.00 | 70 | 38 | 74 | 67 | 64 | 67 | 71 | 64 | 30 | 72 | 57 | 68 | 64 | 65 | 62 | 0 | 48 | 77 | 24 | 750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 42 | C/LW | 100.00 | 75 | 40 | 66 | 65 | 74 | 67 | 76 | 64 | 65 | 67 | 65 | 65 | 66 | 67 | 63 | 0 | 43 | 74 | 26 | 1,000,000$/3yrs | |||
![]() | 52 | D | 100.00 | 74 | 44 | 70 | 61 | 91 | 79 | 82 | 61 | 30 | 65 | 60 | 69 | 61 | 65 | 62 | 0 | 20 | 76 | 24 | 1,500,000$/3yrs | |||
TEAM AVERAGE | 100.00 | 70 | 37 | 82 | 70 | 78 | 82 | 85 | 70 | 58 | 73 | 69 | 76 | 70 | 73 | 72 | 0 | 55 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 86 | 86 | 77 | 79 | 81 | 77 | 84 | 90 | 83 | 89 | 84 | 80 | 84 | 0 | 41 | 87 | 32 | 2,875,000$/1yrs |
![]() | 0 | 100.00 | 77 | 80 | 74 | 79 | 81 | 80 | 83 | 88 | 85 | 87 | 83 | 74 | 78 | 0 | 21 | 85 | 29 | 1,500,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 32 | 100.00 | 78 | 73 | 74 | 63 | 85 | 77 | 78 | 78 | 77 | 77 | 78 | 62 | 65 | 0 | 47 | 79 | 22 | 813,333$/2yrs |
TEAM AVERAGE | 100.00 | 80 | 80 | 75 | 74 | 82 | 78 | 82 | 85 | 82 | 84 | 82 | 72 | 76 | 0 | 36 | 84 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter Laviolette | 87 | 83 | 87 | 85 | 93 | 84 | 83 | CAN | 56 | 2 | 1,000,000$ |
General Manager | David Cassabon |
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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 |
# | 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 |
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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 |
# | 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 |
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Projected Total Cap Hit | 0$ |
Projected Cap Space | 82,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 13 |
LTIR Players | 11 |
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 | ||||||
Austin Watson | LW/RW | 31 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Blake Coleman ![]() | LW/RW | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Cal Foote | D | 24 | 1,500,000$ | 1,500,000$ | 950,000$ | 950,000$ | |||||
Derek Stepan ![]() ![]() | C/RW | 32 | 950,000$ | 950,000$ | UFA | ||||||
Dustin Wolf ![]() ![]() | G | 22 | 813,333$ | 813,333$ | 813,333$ | RFA | |||||
Glenn Gawdin ![]() ![]() | C/LW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
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$ |
Jake Allen ![]() | G | 32 | 2,875,000$ | 2,875,000$ | UFA | ||||||
Jesperi Kotkaniemi | C/LW | 22 | 4,000,000$ | 4,000,000$ | 2,500,000$ | 2,500,000$ | RFA | ||||
John Marino ![]() | D | 26 | 3,750,000$ | 3,750,000$ | 3,750,000$ | ||||||
Joonas Korpisalo ![]() | G | 29 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Mac Hollowell ![]() ![]() | D | 24 | 750,000$ | 750,000$ | RFA | ||||||
Marco Scandella | D | 33 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Mattias Janmark | C/LW | 30 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Nick Leddy | D | 32 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Oliver Kylington ![]() | D | 26 | 1,200,000$ | 1,200,000$ | |||||||
Phillip Danault | C | 30 | 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 | ||||||
Sebastian Aho ![]() | C/LW | 25 | 8,454,000$ | 8,454,000$ | 8,454,000$ | ||||||
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 | 28 | 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 |
William Karlsson | C | 30 | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Wilsby ![]() | D | 22 | 842,500$ | 842,500$ | 842,500$ | RFA | |||||
Akito Hirose ![]() | D | 24 | 950,000$ | 950,000$ | RFA | ||||||
Alex Beaucage ![]() | RW | 21 | 878,333$ | 878,333$ | 878,333$ | RFA | |||||
Alexandre Doucet ![]() | C | 21 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Chase Wheatcroft ![]() | LW | 21 | 862,500$ | 862,500$ | 862,500$ | 862,500$ | 862,500$ | RFA | |||
Christoffer Sedoff ![]() | D | 21 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Cory Schneider ![]() | G | 37 | 750,000$ | 750,000$ | UFA | ||||||
Daemon Hunt ![]() | D | 21 | 850,833$ | 850,833$ | 850,833$ | RFA | |||||
Dillon Hamaliuk ![]() | LW | 22 | 795,000$ | 795,000$ | 795,000$ | RFA | |||||
Drew Helleson ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Ethan Keppen ![]() | LW | 22 | 750,000$ | 750,000$ | RFA | ||||||
Graeme Clarke ![]() | RW | 22 | 850,000$ | 850,000$ | RFA | ||||||
Guillaume Brisebois ![]() | D | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Henry Rybinski ![]() | RW | 21 | 859,167$ | 859,167$ | 859,167$ | 859,167$ | RFA | ||||
Ian Mitchell ![]() ![]() | D | 24 | 925,000$ | 925,000$ | RFA | ||||||
Jakob Pelletier ![]() ![]() | C | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Jalen Luypen ![]() | C | 20 | 859,167$ | 859,167$ | 859,167$ | 859,167$ | RFA | ||||
Jesper Wallstedt ![]() ![]() | G | 20 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Jonas Johansson ![]() | G | 27 | 975,000$ | 975,000$ | ![]() | ||||||
Joseph Gambardella ![]() | C | 29 | 750,000$ | 750,000$ | UFA | ||||||
Ken Appleby ![]() ![]() | G | 28 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Kevin Connauton ![]() | D | 33 | 760,000$ | 760,000$ | 760,000$ | UFA | |||||
Kevin Mandolese ![]() ![]() | G | 22 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Kole Lind ![]() ![]() | RW | 24 | 800,000$ | 800,000$ | RFA | ||||||
Lauri Pajuniemi ![]() | RW | 23 | 883,750$ | 883,750$ | RFA | ||||||
Luke Henman ![]() | C | 23 | 791,667$ | 791,667$ | 791,667$ | RFA | |||||
Marcus Kallionkieli ![]() | C | 22 | 784,722$ | 784,722$ | 784,722$ | RFA | |||||
Max Gildon ![]() | D | 24 | 853,333$ | 853,333$ | RFA | ||||||
Nathan Smith ![]() | C | 24 | 883,750$ | 883,750$ | RFA | ||||||
Nils Aman ![]() | C | 23 | 883,750$ | 883,750$ | 883,750$ | RFA | |||||
Pavel Novak ![]() | RW | 21 | 846,667$ | 846,667$ | 846,667$ | 846,667$ | RFA | ||||
Spencer Foo ![]() | C/RW | 29 | 1,350,000$ | 1,350,000$ | UFA | ||||||
Steven Fogarty ![]() ![]() | C | 30 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Tristen Robins ![]() | C | 21 | 828,333$ | 828,333$ | 828,333$ | RFA | |||||
Ty Voit ![]() | LW | 19 | 817,778$ | 817,778$ | 817,778$ | 817,778$ | RFA | ||||
Tye Kartye ![]() | LW | 22 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Zack Hayes ![]() | D | 24 | 805,000$ | 805,000$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
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Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
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With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
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Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
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PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
78,742,333$ | 0$ | 0$ | 3,757,667$ |
Arena | Goal Horn | About us | |
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![]() | 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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
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 |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
78,742,333$ | 78,742,333$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 2 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 78,742,333$ | 33,011,009$ | 33,011,009$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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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 Zlnka | 2022 | 220 | |||
Alex Young | 2020 | 132 | |||
Ayrton Martino | 2021 | 43 | |||
Ben Hemmerling | 2022 | 205 | |||
Carl Lindbom | 2021 | 187 | |||
Connor Lockhart | 2021 | 165 | |||
Cooper Moore | 2019 | 156 | |||
Cutter Gauthier | 2022 | 12 | |||
Daniel Ljungman | 2020 | 130 | |||
Danny Weight | 2020 | 164 | |||
Graham Sward | 2022 | 142 | |||
Hugo Ollas | 2020 | 168 | |||
Jake Chiasson | 2021 | 121 | |||
Liam Arnsby | 2022 | 201 | |||
Liam Nilsson | 2021 | 118 | |||
Lucas Forsell | 2021 | 202 | |||
Mason Langenbrunner | |||||
Maxwell Crozier | 2019 | 131 | |||
Michal Gut | 2020 | 206 | |||
Miko Matikka | 2022 | 74 | |||
Niko Huuhtanen | 2021 | 188 | |||
Noah Warren | 2022 | 26 | |||
Riley Piercey | 2020 | 193 | |||
Ryan Tverberg | |||||
Tnias Mathurin | 2022 | 173 | |||
Tyson Dyck | 2022 | 196 | |||
Xavier Bouchard | 5.5 - 4.0 | ||||
Zachary Michaelis | 2020 | 194 |