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Buffalo Sabres 0-0-0, 0pts |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 83 | 76 | 67 | 77 | 82 | 90 | 83 | 76 | 62 | 77 | 80 | 74 | 76 | 79 | 74 | 69 | 63 | 0 | 31 | 5,125,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 82 | 77 | 66 | 68 | 99 | 86 | 81 | 66 | 52 | 74 | 67 | 73 | 69 | 67 | 68 | 71 | 66 | 0 | 26 | 2,300,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 73 | 39 | 84 | 67 | 81 | 80 | 75 | 66 | 58 | 65 | 62 | 61 | 68 | 74 | 73 | 56 | 52 | 0 | 32 | 2,750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 62 | 35 | 88 | 67 | 73 | 86 | 89 | 65 | 81 | 63 | 68 | 82 | 66 | 64 | 65 | 81 | 69 | 0 | 23 | 1,800,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 66 | 37 | 88 | 70 | 87 | 85 | 92 | 71 | 83 | 72 | 66 | 78 | 70 | 78 | 74 | 64 | 60 | 0 | 31 | 4,500,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 70 | 38 | 86 | 71 | 90 | 87 | 83 | 74 | 71 | 73 | 80 | 66 | 73 | 77 | 89 | 33 | 63 | 0 | 32 | 7,500,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 74 | 35 | 89 | 74 | 75 | 87 | 90 | 73 | 58 | 79 | 72 | 64 | 71 | 77 | 79 | 38 | 67 | 0 | 32 | 5,000,000$/5yrs | |||
![]() | 0 | C | 100.00 | 68 | 36 | 83 | 81 | 82 | 88 | 90 | 77 | 73 | 71 | 78 | 72 | 77 | 68 | 71 | 75 | 50 | 0 | 26 | 5,500,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 67 | 36 | 84 | 68 | 83 | 86 | 81 | 66 | 56 | 64 | 67 | 72 | 69 | 72 | 71 | 54 | 48 | 0 | 29 | 750,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 86 | 37 | 94 | 66 | 83 | 81 | 86 | 63 | 65 | 64 | 62 | 71 | 62 | 67 | 65 | 74 | 69 | 0 | 26 | 1,750,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 36 | 69 | 78 | 81 | 88 | 90 | 76 | 82 | 76 | 77 | 63 | 76 | 66 | 73 | 86 | 59 | 0 | 24 | 6,000,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 67 | 38 | 80 | 76 | 74 | 89 | 90 | 71 | 83 | 72 | 69 | 87 | 68 | 66 | 70 | 63 | 40 | 0 | 25 | 4,800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 90 | 85 | 74 | 63 | 99 | 87 | 91 | 62 | 30 | 72 | 59 | 77 | 51 | 73 | 71 | 67 | 51 | 0 | 30 | 2,500,000$/4yrs | |||
![]() | 0 | D | 100.00 | 74 | 37 | 88 | 67 | 84 | 80 | 72 | 66 | 30 | 72 | 69 | 73 | 55 | 76 | 73 | 45 | 69 | 0 | 32 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 83 | 37 | 81 | 72 | 77 | 94 | 90 | 74 | 30 | 79 | 72 | 83 | 58 | 79 | 74 | 61 | 64 | 0 | 31 | 7,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 89 | 75 | 69 | 74 | 87 | 89 | 83 | 62 | 30 | 72 | 63 | 81 | 52 | 74 | 72 | 38 | 76 | 0 | 31 | 1,800,000$/4yrs | |||
![]() | 0 | D | 100.00 | 87 | 39 | 83 | 62 | 82 | 86 | 85 | 59 | 30 | 68 | 56 | 77 | 51 | 68 | 67 | 63 | 59 | 0 | 28 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 37 | 93 | 66 | 87 | 93 | 94 | 65 | 30 | 74 | 62 | 91 | 52 | 71 | 68 | 54 | 60 | 0 | 28 | 5,800,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 67 | 39 | 83 | 66 | 78 | 85 | 76 | 64 | 57 | 62 | 63 | 61 | 62 | 64 | 65 | 83 | 48 | 0 | 23 | 863,333$/1yrs | |||
![]() | 0 | C | 100.00 | 67 | 38 | 81 | 66 | 80 | 85 | 79 | 64 | 75 | 65 | 67 | 68 | 64 | 69 | 73 | 45 | 28 | 0 | 29 | 1,500,000$/1yrs | |||
![]() | 42 | D | 100.00 | 81 | 75 | 68 | 64 | 80 | 86 | 83 | 65 | 30 | 67 | 66 | 70 | 52 | 78 | 74 | 48 | 46 | 0 | 34 | 750,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 75 | 47 | 81 | 70 | 83 | 87 | 85 | 68 | 56 | 71 | 68 | 74 | 64 | 72 | 72 | 60 | 57 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 83 | 78 | 73 | 86 | 82 | 81 | 83 | 82 | 81 | 83 | 82 | 70 | 83 | 56 | 32 | 0 | 30 | 1,000,000$/1yrs |
![]() | 0 | 100.00 | 85 | 76 | 71 | 73 | 84 | 83 | 85 | 84 | 83 | 85 | 84 | 77 | 87 | 52 | 58 | 0 | 33 | 1,000,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 75 | 74 | 76 | 78 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 70 | 83 | 51 | 73 | 0 | 30 | 750,000$/1yrs |
TEAM AVERAGE | 100.00 | 81 | 76 | 73 | 79 | 80 | 79 | 81 | 80 | 79 | 81 | 80 | 72 | 84 | 53 | 54 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Andre Tourigny | 82 | 76 | 77 | 77 | 72 | 67 | 77 | CAN | 48 | 3 | 1,000,000$ |
General Manager | Steve Marinier |
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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 | MP | 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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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 | 0$ |
Projected Cap Space | 85,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Sabres Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Kempe | C | 26 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | ||||
Anders Lee | LW | 32 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | |||
Anthony Cirelli ![]() | C/RW | 25 | 4,800,000$ | 4,800,000$ | RFA | ||||||
Antti Raanta | G | 33 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Brendan Smith ![]() | D | 34 | 750,000$ | 750,000$ | UFA | ||||||
Charlie Coyle ![]() | C/RW | 31 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Christian Fischer ![]() | RW | 26 | 1,750,000$ | 1,750,000$ | 1,750,000$ | ||||||
Esa Lindell | D | 28 | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | UFA | ||||
Evander Kane | LW/RW | 31 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | UFA | |||
Isac Lundestrom ![]() | C | 23 | 1,800,000$ | 1,800,000$ | 1,800,000$ | RFA | |||||
Jamie Oleksiak | D | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
Jimmy Vesey ![]() | LW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Jonny Brodzinski ![]() | C | 29 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Jordan Greenway ![]() | LW | 26 | 2,300,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | |||||
Josh Manson | D | 31 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | |||
Justin Faulk | D | 31 | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||||
Laurent Brossoit | G | 30 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Martin Kaut ![]() | RW | 23 | 863,333$ | 863,333$ | RFA | ||||||
Maxime Lagace ![]() | G | 30 | 750,000$ | 750,000$ | UFA | ||||||
Michael Stone ![]() | D | 32 | 750,000$ | 750,000$ | UFA | ||||||
Ondrej Palat | LW | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||
Pierre-Luc Dubois ![]() | C/LW | 24 | 6,000,000$ | 6,000,000$ | RFA | ||||||
Richard Panik | RW | 32 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Robert Hagg | D | 28 | 750,000$ | 750,000$ |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Jake Gardiner ![]() | D | 31 | 0$ | 2,000,000$ | UFA | ||||||
Kieffer Bellows ![]() | LW | 24 | 1,200,000$ | 1,200,000$ | RFA | ||||||
Mitch Reinke ![]() | D | 27 | 750,000$ | 750,000$ | |||||||
Morgan Frost ![]() | C | 23 | 894,166$ | 1,300,000$ | RFA | ||||||
Nick Seeler ![]() | D | 29 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Trent Frederic ![]() | C/LW | 25 | 1,050,000$ | 1,050,000$ | RFA | ||||||
Ty Dellandrea ![]() | C | 22 | 863,333$ | 863,333$ | RFA |
Forward Lines | |||||||
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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 | |
---|---|
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 |
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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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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
74,938,333$ | 0$ | 0$ | 85,000,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Key Bank Center | |
City | Buffalo | ||
Capacity | 18000 | ||
Season Ticket Holders | 80% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 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 | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
74,938,333$ | 74,238,333$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 64,377,659$ | 64,377,659$ |
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 |
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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 |
---|---|---|---|---|---|
Aapeli Rasanen | |||||
Alex Turcotte | |||||
Brennan Othmann | 2021 | 16 | |||
Calen Addison | |||||
Chase Priskie | |||||
Cole Hults | |||||
Connor Roulette | |||||
Cutter Gauthier | |||||
Daniel Togersson | |||||
Declan Chisholm | |||||
Devon Levi | |||||
Dylan Holloway | |||||
Emil Andrae | |||||
Frederik Dichow | |||||
Ivan Miroshnichenko | |||||
Jani Nyman | |||||
Jayden Struble | |||||
Maxim Mamin | |||||
Morgan Barron | |||||
Nathan Walker | |||||
Patrik Puistola | 2019 | 67 | |||
Ruslan Iskhakov | |||||
Sampo Ranta | |||||
Sasha Pastujov | 2021 | 36 | |||
Sean Behrens | |||||
Shakir Mukhamadullin | |||||
Tyce Thompson |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Aapeli Rasanen | |||||
Alex Turcotte | |||||
Brennan Othmann | 2021 | 16 | |||
Calen Addison | |||||
Chase Priskie | |||||
Cole Hults | |||||
Connor Roulette | |||||
Cutter Gauthier | |||||
Daniel Togersson | |||||
Declan Chisholm | |||||
Devon Levi | |||||
Dylan Holloway | |||||
Emil Andrae | |||||
Frederik Dichow | |||||
Ivan Miroshnichenko | |||||
Jani Nyman | |||||
Jayden Struble | |||||
Maxim Mamin | |||||
Morgan Barron | |||||
Nathan Walker | |||||
Patrik Puistola | 2019 | 67 | |||
Ruslan Iskhakov | |||||
Sampo Ranta | |||||
Sasha Pastujov | 2021 | 36 | |||
Sean Behrens | |||||
Shakir Mukhamadullin | |||||
Tyce Thompson |