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Full Scoreboard »» |
New York Islanders 0-0-0, 0pts · 16th 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 | 65 | 40 | 85 | 71 | 95 | 79 | 79 | 69 | 58 | 67 | 75 | 59 | 72 | 77 | 75 | 0 | 19 | 80 | 30 | 3,500,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 91 | 43 | 63 | 68 | 83 | 84 | 77 | 69 | 61 | 66 | 75 | 59 | 72 | 82 | 78 | 0 | 18 | 80 | 33 | 7,000,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 63 | 32 | 88 | 68 | 70 | 85 | 87 | 68 | 62 | 67 | 73 | 61 | 70 | 80 | 79 | 0 | 18 | 79 | 32 | 6,000,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 64 | 32 | 83 | 66 | 68 | 81 | 77 | 66 | 75 | 64 | 70 | 60 | 68 | 84 | 82 | 0 | 16 | 77 | 34 | 3,333,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 60 | 34 | 90 | 67 | 71 | 85 | 90 | 64 | 73 | 63 | 70 | 73 | 67 | 64 | 63 | 0 | 22 | 76 | 23 | 3,500,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 38 | 85 | 58 | 63 | 72 | 74 | 69 | 40 | 63 | 62 | 73 | 62 | 79 | 77 | 0 | 22 | 75 | 32 | 1,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 60 | 32 | 93 | 64 | 70 | 77 | 82 | 64 | 56 | 64 | 68 | 54 | 66 | 75 | 74 | 0 | 18 | 75 | 29 | 4,675,000$/2yrs | |||
![]() | 63 | C/LW/RW | 100.00 | 61 | 38 | 89 | 58 | 68 | 72 | 73 | 69 | 74 | 62 | 61 | 73 | 62 | 79 | 78 | 0 | 18 | 75 | 32 | 775,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 69 | 33 | 92 | 55 | 76 | 77 | 76 | 60 | 60 | 62 | 59 | 63 | 60 | 81 | 80 | 0 | 16 | 72 | 33 | 1,800,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 81 | 43 | 84 | 55 | 80 | 75 | 88 | 56 | 74 | 56 | 58 | 68 | 57 | 77 | 76 | 0 | 21 | 71 | 31 | 1,255,000$/3yrs | |||
![]() | 73 | LW/RW | 100.00 | 87 | 44 | 89 | 55 | 83 | 68 | 69 | 53 | 71 | 54 | 56 | 58 | 54 | 75 | 74 | 0 | 19 | 69 | 30 | 1,500,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 70 | 33 | 91 | 55 | 80 | 72 | 79 | 53 | 80 | 54 | 57 | 64 | 55 | 66 | 65 | 0 | 27 | 68 | 25 | 1,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 62 | 34 | 92 | 72 | 79 | 96 | 90 | 68 | 30 | 75 | 64 | 80 | 66 | 63 | 62 | 0 | 18 | 83 | 22 | 4,100,000$/3yrs | |||
![]() | 44 | D | 100.00 | 71 | 45 | 71 | 58 | 91 | 88 | 80 | 66 | 30 | 66 | 58 | 84 | 62 | 81 | 79 | 0 | 18 | 79 | 33 | 4,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 80 | 42 | 72 | 56 | 86 | 90 | 83 | 62 | 30 | 64 | 55 | 80 | 58 | 79 | 76 | 0 | 18 | 77 | 32 | 4,400,000$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 33 | 77 | 60 | 78 | 89 | 69 | 57 | 30 | 70 | 56 | 57 | 56 | 80 | 77 | 0 | 16 | 75 | 32 | 6,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 62 | 32 | 90 | 60 | 66 | 88 | 79 | 55 | 30 | 65 | 62 | 59 | 58 | 60 | 59 | 0 | 16 | 73 | 21 | 844,167$/2yrs | |||
![]() | 0 | D | 100.00 | 66 | 33 | 88 | 55 | 80 | 81 | 82 | 51 | 30 | 58 | 53 | 60 | 52 | 80 | 79 | 0 | 17 | 70 | 33 | 2,700,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 60 | 32 | 89 | 60 | 74 | 79 | 75 | 63 | 59 | 63 | 65 | 60 | 64 | 85 | 84 | 0 | 20 | 74 | 35 | 2,000,000$/2yrs | |||
![]() | 0 | RW | 97.76 | 82 | 35 | 90 | 56 | 79 | 75 | 80 | 60 | 58 | 58 | 66 | 57 | 63 | 70 | 69 | 0 | 11 | 72 | 27 | 800,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 32 | 90 | 58 | 73 | 82 | 72 | 60 | 59 | 63 | 60 | 56 | 60 | 76 | 76 | 0 | 19 | 72 | 30 | 2,000,000$/2yrs | |||
TEAM AVERAGE | 99.89 | 69 | 36 | 85 | 61 | 77 | 81 | 79 | 62 | 54 | 63 | 63 | 65 | 62 | 76 | 74 | 0 | 18 | 75 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 76 | 68 | 69 | 87 | 87 | 77 | 85 | 85 | 84 | 87 | 85 | 79 | 83 | 0 | 17 | 85 | 32 | 3,000,000$/4yrs |
![]() | 30 | 98.00 | 60 | 60 | 65 | 86 | 59 | 60 | 60 | 60 | 60 | 58 | 60 | 76 | 79 | 0 | 15 | 69 | 31 | 800,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 68 | 64 | 67 | 87 | 73 | 69 | 73 | 73 | 72 | 73 | 73 | 78 | 81 | 0 | 16 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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John Hynes | 75 | 78 | 78 | 83 | 77 | 82 | 78 | USA | 48 | 5 | 1,000,000$ |
General Manager | Andrew Shaughnessy |
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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 |
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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 |
# | 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 | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Islanders Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
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Adam Erne ![]() | LW/RW | 30 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Alexander Barabanov ![]() | LW/RW | 30 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Anthony Mantha ![]() | LW/RW | 30 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
Connor Murphy ![]() | D | 32 | 4,400,000$ | 4,400,000$ | 4,400,000$ | UFA | |||||
Dawson Mercer ![]() | C/RW | 23 | 3,500,000$ | 3,500,000$ | 3,500,000$ | RFA | |||||
Erik Gudbranson ![]() | D | 33 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Evander Kane ![]() | LW/RW | 33 | 7,000,000$ | 7,000,000$ | UFA | ||||||
Jaden Schwartz ![]() | LW | 32 | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||||
Jake Sanderson ![]() | D | 22 | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | RFA | ||||
Jesper Fast ![]() | RW | 33 | 1,800,000$ | 1,800,000$ | UFA | ||||||
John Klingberg ![]() | D | 32 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||||
Justin Holl ![]() | D | 33 | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | |||||
Laurent Brossoit | G | 32 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
Malcolm Subban ![]() | G | 31 | 800,000$ | 800,000$ | UFA | ||||||
Matthew Peca ![]() | C/LW/RW | 32 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Mike Hoffman ![]() | LW/RW | 35 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Mitchell Chaffee ![]() | RW | 27 | 800,000$ | 800,000$ | |||||||
Olen Zellweger ![]() | D | 21 | 844,167$ | 844,167$ | 844,167$ | RFA | |||||
Rasmus Kupari ![]() | C/LW/RW | 25 | 1,000,000$ | 1,000,000$ | |||||||
Rocco Grimaldi ![]() | LW/RW | 32 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Tyler Johnson ![]() | C/LW/RW | 34 | 3,333,000$ | 3,333,000$ | 3,333,000$ | 3,333,000$ | UFA | ||||
Victor Olofsson ![]() | LW/RW | 29 | 4,675,000$ | 4,675,000$ | 4,675,000$ | UFA | |||||
Zemgus Girgensons ![]() | C/LW/RW | 31 | 1,255,000$ | 1,255,000$ | 1,255,000$ | 1,255,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Angus Crookshank ![]() | LW | 25 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Axel Jonsson-Fjallby ![]() | LW | 27 | 1,100,000$ | 1,100,000$ | ![]() | ||||||
Bryce Kindopp ![]() | RW | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Cameron Wright ![]() | LW/RW | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Casey Fitzgerald ![]() | D | 28 | 900,000$ | 900,000$ | UFA | ||||||
Colby Barlow ![]() | LW | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Colton Poolman ![]() | D | 29 | 800,000$ | 800,000$ | UFA | ||||||
Dennis Yan ![]() | LW | 28 | 0$ | UFA | |||||||
Dustin Tokarski ![]() | G | 35 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Griffin Mendel ![]() | D | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Isaac Poulter ![]() | G | 23 | 950,000$ | 950,000$ | RFA | ||||||
Jack Peart ![]() | D | 21 | 0$ | RFA | |||||||
Jackson Cates ![]() | C | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Kaleb Lawrence ![]() | RW | 22 | 852,500$ | 852,500$ | 852,500$ | 852,500$ | RFA | ||||
Kevin Wall ![]() | RW | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Lassi Thomson ![]() | D | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Lleyton Moore ![]() | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Luke Stevens ![]() | LW | 28 | 0$ | UFA | |||||||
Marc Johnstone ![]() | RW | 28 | 800,000$ | 800,000$ | UFA | ||||||
Marcus Bjork ![]() | D | 27 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Matt Tomkins ![]() | G | 30 | 775,000$ | 775,000$ | UFA | ||||||
Michael Callahan ![]() | D | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Mitchell Vande Sompel ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Peter Diliberatore ![]() | D | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Quinn Schmiemann ![]() | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Radim Zohorna ![]() | LW/RW | 29 | 850,000$ | 850,000$ | UFA | ||||||
Raivis Ansons ![]() | C | 27 | 844,167$ | 844,167$ | ![]() | ||||||
Reese Johnson ![]() | RW | 26 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Samuel Bitten ![]() | C | 25 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Samuel Honzek ![]() | LW | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Scott Harrington ![]() | D | 32 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Strauss Mann ![]() | G | 26 | 775,000$ | 775,000$ | ![]() |
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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 |
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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 | |
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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 |
62,482,167$ | 0$ | 0$ | 25,517,833$ |
Arena | Goal Horn | About us | |
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![]() | Name | Barclays Center | |
City | New York | ||
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 |
62,482,167$ | 62,482,167$ | 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$ | 12 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 62,482,167$ | 88,960,841$ | 88,960,841$ |
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 | Ronde 8 |
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2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 | ||||||||
2029 |
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 |
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Adam Gajan | 2023 | 67 | |||
Adam Kleber | 2024 | 68 | |||
Albin Sundsvik | |||||
Aron Kiviharju | 2024 | 35 | |||
Benjamin Baumgartner | |||||
Berkly Catton | 2024 | 6 | |||
Connor Kelley | 2021 | 221 | |||
Emil Hemming | 2024 | 28 | |||
Jesse Nurmi | 2023 | 114 | |||
Leo Sahlin Wallenius | 2024 | 47 | |||
Mathis Rousseau | 2023 | 213 | |||
Mikhail Yegorov | 2024 | 77 | |||
Oliver Suni | 2020 | 103 | |||
Vojtech Hradec | 2024 | 186 | |||
Will McIsaac | 2024 | 159 |