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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C | 100.00 | 67 | 47 | 91 | 87 | 65 | 82 | 86 | 78 | 85 | 85 | 76 | 76 | 54 | 66 | 72 | 0 | 81 | 24 | 7,250,000$/5yrs | |||||
![]() | LW | 100.00 | 74 | 47 | 80 | 75 | 66 | 79 | 92 | 72 | 50 | 77 | 76 | 71 | 54 | 60 | 58 | 0 | 76 | 25 | 1,500,000$/10yrs | |||||
![]() | C/LW/RW | 100.00 | 68 | 57 | 87 | 76 | 79 | 80 | 90 | 69 | 80 | 80 | 65 | 73 | 54 | 72 | 63 | 0 | 76 | 29 | 5,625,000$/5yrs | |||||
![]() | LW/RW | 100.00 | 68 | 40 | 90 | 71 | 87 | 75 | 87 | 69 | 54 | 75 | 72 | 72 | 55 | 79 | 60 | 0 | 76 | 30 | 4,500,000$/4yrs | |||||
![]() | LW/RW | 100.00 | 76 | 40 | 89 | 70 | 76 | 73 | 85 | 67 | 52 | 77 | 66 | 69 | 56 | 75 | 68 | 0 | 74 | 32 | 6,000,000$/5yrs | |||||
![]() | C/LW | 100.00 | 73 | 65 | 81 | 67 | 88 | 70 | 93 | 60 | 84 | 70 | 64 | 80 | 54 | 72 | 59 | 0 | 73 | 29 | 3,250,000$/3yrs | |||||
![]() | LW/RW | 100.00 | 62 | 40 | 81 | 67 | 82 | 73 | 85 | 63 | 57 | 73 | 63 | 80 | 60 | 77 | 68 | 0 | 72 | 32 | 5,250,000$/2yrs | |||||
![]() | C/RW | 100.00 | 72 | 40 | 88 | 66 | 74 | 73 | 81 | 62 | 53 | 74 | 63 | 73 | 54 | 62 | 58 | 0 | 71 | 27 | 2,167,667$/3yrs | |||||
![]() | LW | 100.00 | 78 | 65 | 86 | 67 | 80 | 63 | 76 | 60 | 54 | 71 | 61 | 73 | 54 | 57 | 58 | 0 | 70 | 25 | 758,333$/2yrs | |||||
![]() | LW | 100.00 | 61 | 48 | 79 | 72 | 86 | 73 | 67 | 66 | 51 | 65 | 63 | 62 | 57 | 82 | 79 | 0 | 70 | 34 | 7,000,000$/2yrs | |||||
![]() | C/LW/RW | 100.00 | 70 | 40 | 91 | 66 | 74 | 64 | 79 | 59 | 62 | 71 | 60 | 73 | 54 | 59 | 58 | 0 | 69 | 25 | 825,000$/2yrs | |||||
![]() | LW | 100.00 | 57 | 48 | 78 | 61 | 69 | 64 | 68 | 59 | 53 | 64 | 59 | 65 | 60 | 62 | 58 | 0 | 65 | 27 | 1,600,000$/2yrs | |||||
![]() | D | 100.00 | 74 | 47 | 88 | 79 | 81 | 84 | 93 | 63 | 40 | 76 | 61 | 91 | 54 | 69 | 59 | 0 | 78 | 33 | 2,500,000$/4yrs | |||||
![]() | D | 100.00 | 66 | 40 | 85 | 81 | 70 | 86 | 89 | 69 | 40 | 78 | 66 | 81 | 56 | 71 | 59 | 0 | 77 | 30 | 4,500,000$/2yrs | |||||
![]() | D | 100.00 | 69 | 40 | 82 | 75 | 72 | 90 | 88 | 67 | 40 | 77 | 65 | 85 | 54 | 63 | 59 | 0 | 77 | 27 | 2,666,667$/2yrs | |||||
![]() | D | 100.00 | 68 | 40 | 82 | 73 | 75 | 91 | 86 | 62 | 40 | 73 | 60 | 89 | 54 | 77 | 60 | 0 | 76 | 30 | 6,000,000$/6yrs | |||||
![]() | D | 100.00 | 63 | 40 | 81 | 75 | 71 | 77 | 87 | 64 | 40 | 76 | 61 | 79 | 54 | 75 | 60 | 0 | 74 | 33 | 3,000,000$/2yrs | |||||
![]() | D | 100.00 | 70 | 47 | 77 | 70 | 79 | 73 | 88 | 59 | 40 | 72 | 59 | 86 | 54 | 62 | 59 | 0 | 73 | 29 | 2,750,000$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | C | 100.00 | 59 | 53 | 71 | 63 | 65 | 66 | 64 | 60 | 72 | 62 | 60 | 63 | 54 | 60 | 57 | 0 | 65 | 26 | 750,000$/2yrs | |||||
![]() | D | 100.00 | 68 | 40 | 79 | 67 | 68 | 71 | 72 | 59 | 40 | 73 | 58 | 78 | 54 | 58 | 58 | 0 | 70 | 24 | 850,000$/2yrs | |||||
![]() | D | 100.00 | 63 | 60 | 69 | 61 | 77 | 65 | 62 | 57 | 40 | 64 | 55 | 76 | 54 | 59 | 58 | 0 | 66 | 27 | 762,500$/2yrs | |||||
TEAM AVERAGE | 100.00 | 68 | 47 | 83 | 71 | 75 | 75 | 82 | 64 | 54 | 73 | 63 | 76 | 55 | 67 | 61 | 0 | 73 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 87 | 99 | 99 | 70 | 85 | 82 | 91 | 89 | 91 | 79 | 94 | 68 | 59 | 0 | 88 | 28 | 5,000,000$/3yrs | |
![]() | 0 | 100.00 | 74 | 67 | 69 | 81 | 78 | 79 | 79 | 69 | 80 | 72 | 79 | 81 | 68 | 0 | 76 | 38 | 900,000$/1yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 81 | 83 | 84 | 76 | 82 | 81 | 85 | 79 | 86 | 76 | 87 | 75 | 64 | 0 | 82 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Patrick Roy | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 54 | 4 | 0$ |
General Manager | Yannick Caron |
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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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG |
---|
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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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
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 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
![]() | |
Projected Total Cap Hit | 75,405,167$ |
Projected Cap Space | 7,094,833$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 22 |
Contracts | 55/50 |
LTIR Players | 1 |
Sabres Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anders Bjork ![]() | LW | 27 | 1,600,000$ | 1,600,000$ | 775,000$ | UFA | |||||
Andrew Copp ![]() | C/LW/RW | 29 | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | UFA | ||
Boris Katchouk ![]() | LW | 25 | 758,333$ | 758,333$ | 758,333$ | ![]() | |||||
Brandon Hagel ![]() | LW | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ |
Brandon Saad ![]() | LW/RW | 30 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Brian Elliott ![]() | G | 38 | 900,000$ | 900,000$ | UFA | ||||||
Gustav Forsling ![]() | D | 27 | 2,666,667$ | 2,666,667$ | 2,666,667$ | UFA | |||||
Gustav Lindstrom ![]() | D | 24 | 850,000$ | 850,000$ | 950,000$ | ![]() | |||||
Ilya Lyubushkin ![]() | D | 29 | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||||
Jakob Silfverberg ![]() | LW/RW | 32 | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||||
Jonas Brodin ![]() | D | 30 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |
Justin Schultz ![]() | D | 33 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Juuse Saros ![]() | G | 28 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Mason Appleton ![]() | C/RW | 27 | 2,167,667$ | 2,167,667$ | 2,167,667$ | 2,167,667$ | UFA | ||||
Max Pacioretty ![]() | LW | 34 | 7,000,000$ | 7,000,000$ | 4,000,000$ | UFA | |||||
Mitchell Stephens ![]() | C | 26 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Nick Jensen ![]() | D | 33 | 2,500,000$ | 2,500,000$ | 4,050,000$ | 4,050,000$ | 4,050,000$ | UFA | |||
Nico Hischier ![]() | C | 24 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | UFA | ||
Ondrej Palat ![]() | LW/RW | 32 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||
Radek Faksa ![]() | C/LW | 29 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | ||||
Rasmus Asplund ![]() | C/LW/RW | 25 | 825,000$ | 825,000$ | 775,000$ | ![]() | |||||
Shayne Gostisbehere ![]() | D | 30 | 4,500,000$ | 4,500,000$ | 4,125,000$ | UFA | |||||
Vincent Desharnais ![]() | D | 27 | 762,500$ | 762,500$ | 762,500$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Whelan ![]() | RW | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Ashton Sautner ![]() | D | 29 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Benoit-Olivier Groulx ![]() | C | 23 | 910,833$ | 910,833$ | 775,000$ | ![]() | |||||
Brandon Hawkins ![]() | RW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Byron Froese ![]() | C | 32 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Cale Fleury ![]() | D | 24 | 750,000$ | 750,000$ | 800,000$ | 800,000$ | ![]() | ||||
Callum Booth ![]() | G | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Casey Fitzgerald ![]() | D | 26 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Devante Stephens ![]() | D | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Dillon Heatherington ![]() | D | 28 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Dylan St. Cyr ![]() | G | 24 | 750,000$ | 750,000$ | ![]() | ||||||
Hayden Hodgson ![]() | RW | 27 | 800,000$ | 800,000$ | 775,000$ | UFA | |||||
Jeremy Groleau ![]() | D | 23 | 750,000$ | 750,000$ | RFA | ||||||
Jeremy McKenna ![]() | RW | 24 | 750,000$ | 750,000$ | ![]() | ||||||
John Beecher ![]() | C | 25 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | UFA | ||||
John Quenneville ![]() | RW | 27 | 750,000$ | 750,000$ | UFA | ||||||
Louis Domingue ![]() | G | 31 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Luke Witkowski ![]() | D | 33 | 750,000$ | 750,000$ | UFA | ||||||
Mackenzie MacEachern ![]() | C/LW | 29 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Matej Pekar ![]() | C | 23 | 913,333$ | 913,333$ | RFA | ||||||
Mathew Santos ![]() | RW | 28 | 750,000$ | 750,000$ | UFA | ||||||
Matthew Peca ![]() | C | 30 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Michael Houser ![]() | G | 31 | 750,000$ | 750,000$ | UFA | ||||||
Owen Sillinger ![]() | C | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Paul Thompson ![]() | RW | 34 | 775,000$ | 775,000$ | UFA | ||||||
Sean Malone ![]() | C | 28 | 750,000$ | 750,000$ | UFA | ||||||
Semyon Der-Arguchintsev ![]() | C | 23 | 766,677$ | 766,677$ | RFA | ||||||
Tarun Fizer ![]() | RW | 22 | 750,000$ | 750,000$ | RFA | ||||||
Ty Ronning ![]() | RW | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Will Butcher ![]() | D | 28 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
William Eklund ![]() | LW | 20 | 1,713,333$ | 1,713,333$ | 1,713,333$ | 1,713,333$ | RFA | ||||
Zach Uens ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | ![]() |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
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 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
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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Sat, Sep 16 | ![]() | @ | ![]() | ||
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Thu, Sep 21 | ![]() | @ | ![]() | ||
Sat, Sep 23 | ![]() | @ | ![]() | ||
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Fri, Oct 27 | ![]() | @ | ![]() | ||
Sun, Oct 29 | ![]() | @ | ![]() | ||
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Fri, Nov 3 | ![]() | @ | ![]() | ||
Sat, Nov 4 | ![]() | @ | ![]() | ||
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Fri, Nov 10 | ![]() | @ | ![]() | ||
Sun, Nov 12 | ![]() | @ | ![]() | ||
Mon, Nov 13 | ![]() | @ | ![]() | ||
Thu, Nov 16 | ![]() | @ | ![]() | ||
Sat, Nov 18 | ![]() | @ | ![]() | ||
Mon, Nov 20 | ![]() | @ | ![]() | ||
Wed, Nov 22 | ![]() | @ | ![]() | ||
Sun, Nov 26 | ![]() | @ | ![]() | ||
Thu, Nov 30 | ![]() | @ | ![]() | ||
Sat, Dec 2 | ![]() | @ | ![]() | ||
Mon, Dec 4 | ![]() | @ | ![]() | ||
Tue, Dec 5 | ![]() | @ | ![]() | ||
Thu, Dec 7 | ![]() | @ | ![]() | ||
Mon, Dec 11 | ![]() | @ | ![]() | ||
Thu, Dec 14 | ![]() | @ | ![]() | ||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
75,405,167$ | 0$ | 75,405,167$ | 7,094,833$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | KeyBank Center | |
City | Buffalo | ||
Capacity | 17000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 5000 | 4000 | 3000 | 4000 | 1000 |
Ticket Price | 85$ | 50$ | 30$ | 19$ | 185$ |
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$ | 17000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
75,405,167$ | 75,405,167$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 75,405,167$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 189 | 398,969$ | 75,405,141$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
75,405,141$ | 75,405,167$ | 20,119,780$ | -55,285,361$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2024 | ![]() | ![]() ![]() | |||||
2025 | ![]() | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | ![]() ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Alexander Ljungkrantz | ![]() | 2021 | 125 | Link | |
Blake Biondi | ![]() | 2021 | 143 | Link | |
Cole Huckins | ![]() | 2022 | 108 | Link | |
Dmitri Kostenko | ![]() | 2022 | 135 | Link | |
Dustyn Mcfaul | ![]() | 2019 | 194 | Link | |
Guillaume Richard | ![]() | 2022 | 127 | Link | |
Jake Boltmann | ![]() | 2021 | 106 | Link | |
Joni Jurmo | ![]() | 2021 | 112 | Link | |
Kasper Kulonummi | ![]() | 2023 | 126 | Link | |
Marcus Karlberg | ![]() | 2019 | 116 | Link | |
Matthew Thiessen | ![]() | 2019 | 204 | Link | |
Maxim Berezkin | ![]() | 2021 | 170 | Link | |
Oliver Johansson | ![]() | 2022 | 125 | Link | |
Oliver Kapanen | ![]() | 2022 | 103 | Link | |
Sam Stange | ![]() | 2021 | 132 | Link | |
Shane LaChance | ![]() | 2022 | 191 | Link | |
Taige Harding | ![]() | 2022 | 121 | Link | |
Thimo Nickl | ![]() | 2021 | 137 | Link | |
Tristan Broz | ![]() | 2022 | 63 | Link | |
Viljami Marjala | ![]() | 2022 | 188 | Link | |
William Von Barnekow | ![]() | 2022 | 153 | Link |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2024 | ![]() | ![]() ![]() | |||||
2025 | ![]() | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | ![]() ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Alexander Ljungkrantz | ![]() | 2021 | 125 | Link | |
Blake Biondi | ![]() | 2021 | 143 | Link | |
Cole Huckins | ![]() | 2022 | 108 | Link | |
Dmitri Kostenko | ![]() | 2022 | 135 | Link | |
Dustyn Mcfaul | ![]() | 2019 | 194 | Link | |
Guillaume Richard | ![]() | 2022 | 127 | Link | |
Jake Boltmann | ![]() | 2021 | 106 | Link | |
Joni Jurmo | ![]() | 2021 | 112 | Link | |
Kasper Kulonummi | ![]() | 2023 | 126 | Link | |
Marcus Karlberg | ![]() | 2019 | 116 | Link | |
Matthew Thiessen | ![]() | 2019 | 204 | Link | |
Maxim Berezkin | ![]() | 2021 | 170 | Link | |
Oliver Johansson | ![]() | 2022 | 125 | Link | |
Oliver Kapanen | ![]() | 2022 | 103 | Link | |
Sam Stange | ![]() | 2021 | 132 | Link | |
Shane LaChance | ![]() | 2022 | 191 | Link | |
Taige Harding | ![]() | 2022 | 121 | Link | |
Thimo Nickl | ![]() | 2021 | 137 | Link | |
Tristan Broz | ![]() | 2022 | 63 | Link | |
Viljami Marjala | ![]() | 2022 | 188 | Link | |
William Von Barnekow | ![]() | 2022 | 153 | Link |