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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C | 100.00 | 70 | 40 | 84 | 78 | 89 | 84 | 90 | 75 | 90 | 77 | 81 | 72 | 71 | 74 | 75 | 0 | 81 | 28 | 5,500,000$/9yrs | |||||
![]() | LW/RW | 100.00 | 71 | 40 | 86 | 81 | 84 | 81 | 83 | 79 | 67 | 84 | 80 | 72 | 71 | 65 | 59 | 0 | 81 | 27 | 4,750,000$/4yrs | |||||
![]() | C/RW | 100.00 | 65 | 40 | 84 | 96 | 72 | 80 | 85 | 76 | 61 | 84 | 70 | 65 | 65 | 67 | 59 | 0 | 78 | 26 | 7,000,000$/9yrs | |||||
![]() | LW/RW | 100.00 | 80 | 66 | 82 | 71 | 82 | 78 | 90 | 68 | 59 | 74 | 73 | 75 | 54 | 67 | 63 | 0 | 76 | 26 | 4,300,000$/5yrs | |||||
![]() | LW | 100.00 | 76 | 58 | 80 | 68 | 94 | 76 | 89 | 70 | 69 | 74 | 75 | 66 | 54 | 75 | 77 | 0 | 76 | 33 | 7,000,000$/4yrs | |||||
![]() | C/RW | 100.00 | 74 | 47 | 80 | 71 | 78 | 75 | 84 | 68 | 55 | 75 | 73 | 69 | 74 | 77 | 67 | 0 | 75 | 32 | 5,000,000$/3yrs | |||||
![]() | LW/RW | 100.00 | 80 | 66 | 86 | 68 | 72 | 69 | 81 | 65 | 52 | 74 | 69 | 79 | 54 | 66 | 59 | 0 | 74 | 31 | 3,500,000$/3yrs | |||||
![]() | C | 100.00 | 69 | 57 | 82 | 73 | 70 | 74 | 80 | 68 | 71 | 76 | 69 | 74 | 81 | 58 | 58 | 0 | 74 | 21 | 1,775,000$/2yrs | |||||
![]() | C/LW | 100.00 | 68 | 40 | 86 | 63 | 75 | 74 | 87 | 62 | 76 | 71 | 68 | 78 | 67 | 80 | 60 | 0 | 73 | 35 | 2,050,000$/2yrs | |||||
![]() | LW | 100.00 | 91 | 75 | 86 | 61 | 86 | 62 | 93 | 59 | 55 | 70 | 61 | 74 | 54 | 83 | 61 | 0 | 71 | 34 | 1,500,000$/2yrs | |||||
![]() | C | 100.00 | 86 | 58 | 86 | 67 | 81 | 64 | 83 | 57 | 75 | 68 | 61 | 75 | 54 | 68 | 59 | 0 | 70 | 28 | 1,000,000$/3yrs | |||||
![]() | LW/RW | 100.00 | 86 | 50 | 78 | 67 | 80 | 64 | 74 | 60 | 53 | 73 | 61 | 67 | 67 | 60 | 58 | 0 | 70 | 27 | 1,525,000$/2yrs | |||||
![]() | D | 100.00 | 68 | 40 | 65 | 93 | 77 | 97 | 93 | 76 | 40 | 87 | 66 | 83 | 58 | 65 | 62 | 0 | 82 | 23 | 6,000,000$/2yrs | |||||
![]() | D | 100.00 | 70 | 40 | 84 | 84 | 81 | 96 | 91 | 68 | 40 | 79 | 64 | 84 | 54 | 77 | 67 | 0 | 80 | 28 | 9,500,000$/8yrs | |||||
![]() | D | 100.00 | 70 | 40 | 87 | 81 | 71 | 85 | 91 | 70 | 40 | 80 | 65 | 76 | 54 | 61 | 58 | 0 | 77 | 23 | 4,000,000$/3yrs | |||||
![]() | D | 100.00 | 79 | 40 | 80 | 69 | 85 | 83 | 90 | 61 | 40 | 73 | 59 | 89 | 68 | 75 | 65 | 0 | 76 | 28 | 5,100,000$/5yrs | |||||
![]() | D | 100.00 | 75 | 49 | 79 | 71 | 85 | 71 | 77 | 57 | 40 | 69 | 58 | 79 | 68 | 79 | 68 | 0 | 72 | 33 | 850,000$/2yrs | |||||
![]() | D | 100.00 | 62 | 34 | 85 | 75 | 69 | 86 | 77 | 70 | 30 | 73 | 63 | 61 | 54 | 65 | 66 | 0 | 72 | 27 | 825,000$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | RW | 100.00 | 76 | 64 | 81 | 67 | 76 | 64 | 69 | 59 | 53 | 66 | 63 | 66 | 55 | 58 | 57 | 0 | 68 | 25 | 785,000$/2yrs | |||||
![]() | RW | 100.00 | 56 | 57 | 64 | 60 | 58 | 67 | 65 | 61 | 55 | 59 | 61 | 59 | 58 | 60 | 56 | 0 | 63 | 25 | 925,000$/2yrs | |||||
TEAM AVERAGE | 100.00 | 74 | 50 | 81 | 73 | 78 | 77 | 84 | 66 | 56 | 74 | 67 | 73 | 62 | 69 | 63 | 0 | 74 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 7 | 100.00 | 94 | 86 | 86 | 90 | 83 | 78 | 93 | 92 | 86 | 80 | 92 | 64 | 56 | 0 | 87 | 30 | 5,000,000$/3yrs | |
![]() | 0 | 100.00 | 80 | 90 | 90 | 79 | 81 | 76 | 85 | 76 | 88 | 77 | 87 | 64 | 59 | 0 | 83 | 25 | 3,979,000$/2yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 87 | 88 | 88 | 85 | 82 | 77 | 89 | 84 | 87 | 79 | 90 | 64 | 58 | 0 | 85 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Henrik Sedin | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Sue | 43 | 5 | 0$ |
General Manager | David Mapp |
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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 | 81,864,000$ |
Projected Cap Space | 636,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 22 |
Contracts | 50/50 |
LTIR Players | 0 |
Islanders Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Tuch ![]() | LW/RW | 27 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||
Anders Lee ![]() | LW | 33 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||
Anton Lundell ![]() | C | 21 | 1,775,000$ | 1,775,000$ | 1,775,000$ | RFA | |||||
Bo Horvat ![]() | C | 28 | 5,500,000$ | 5,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ |
Brandon Tanev ![]() | LW/RW | 31 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
Carter Hart ![]() | G | 25 | 3,979,000$ | 3,979,000$ | 3,979,000$ | ![]() | |||||
Curtis Lazar ![]() | C | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Kyle Palmieri ![]() | C/RW | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Lawson Crouse ![]() | LW/RW | 26 | 4,300,000$ | 4,300,000$ | 4,300,000$ | 4,300,000$ | 4,300,000$ | 4,300,000$ | UFA | ||
Linus Ullmark ![]() | G | 30 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Linus Weissbach ![]() | RW | 25 | 925,000$ | 925,000$ | 775,000$ | ![]() | |||||
Mathew Barzal ![]() | C/RW | 26 | 7,000,000$ | 7,000,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ |
Matt Martin ![]() | LW | 34 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Nick Bonino ![]() | C/LW | 35 | 2,050,000$ | 2,050,000$ | 800,000$ | UFA | |||||
Noah Dobson ![]() | D | 23 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | ![]() | ||||
Rasmus Dahlin ![]() | D | 23 | 6,000,000$ | 6,000,000$ | 6,000,000$ | ![]() | |||||
Rasmus Ristolainen ![]() | D | 28 | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | UFA | ||
Sammy Blais ![]() | LW/RW | 27 | 1,525,000$ | 1,525,000$ | 1,000,000$ | UFA | |||||
Sebastian AhoD ![]() | D | 27 | 825,000$ | 825,000$ | 825,000$ | UFA | |||||
Seth Jones ![]() | D | 28 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ |
Wade Allison ![]() | RW | 25 | 785,000$ | 785,000$ | 785,000$ | ![]() | |||||
Zach Bogosian ![]() | D | 33 | 850,000$ | 850,000$ | 850,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aatu Raty ![]() | C | 20 | 902,500$ | 902,500$ | 902,500$ | RFA | |||||
Alex Beaucage ![]() | RW | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Arnaud Durandeau ![]() | LW | 24 | 762,500$ | 762,500$ | 762,500$ | ![]() | |||||
Cameron Butler ![]() | RW | 21 | 858,333$ | 858,333$ | 858,333$ | 858,333$ | 858,333$ | ![]() | |||
David Farrance ![]() | D | 24 | 750,000$ | 750,000$ | ![]() | ||||||
Eetu Makiniemi ![]() | G | 24 | 925,000$ | 925,000$ | 775,000$ | ![]() | |||||
Evan Barratt ![]() | C | 24 | 925,000$ | 925,000$ | ![]() | ||||||
Fabian Zetterlund ![]() | LW | 24 | 750,000$ | 750,000$ | 1,450,000$ | 1,450,000$ | ![]() | ||||
Filip Mesar ![]() | RW | 19 | 750,000$ | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | |||
Frederic Brunet ![]() | D | 20 | 750,000$ | 750,000$ | RFA | ||||||
Gabriel Fortier ![]() | LW | 23 | 880,000$ | 880,000$ | 775,000$ | ![]() | |||||
Ian Mitchell ![]() | D | 24 | 1,775,000$ | 1,775,000$ | 775,000$ | ![]() | |||||
Jakub Skarek ![]() | G | 23 | 913,333$ | 913,333$ | 775,000$ | 775,000$ | ![]() | ||||
Jimmy Huntington ![]() | C | 24 | 750,000$ | 750,000$ | ![]() | ||||||
Kevin Gravel ![]() | D | 31 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Mackenzie Entwistle ![]() | RW | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Marc Del Gaizo ![]() | D | 23 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Mattias Norlinder ![]() | D | 23 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Philippe Daoust ![]() | C | 21 | 821,667$ | 821,667$ | 821,667$ | 821,667$ | RFA | ||||
Reece Newkirk ![]() | C | 22 | 823,333$ | 823,333$ | 823,333$ | RFA | |||||
Samuel Bolduc ![]() | D | 22 | 925,000$ | 925,000$ | 800,000$ | 800,000$ | ![]() | ||||
Serron Noel ![]() | C | 23 | 894,167$ | 894,167$ | RFA | ||||||
Trent Miner ![]() | G | 22 | 828,333$ | 828,333$ | 828,333$ | RFA | |||||
Tristen Robins ![]() | C | 21 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Tyler Tucker ![]() | D | 23 | 803,333$ | 803,333$ | 800,000$ | 800,000$ | ![]() | ||||
Vadim Zherenko ![]() | G | 22 | 846,667$ | 846,667$ | 846,667$ | RFA | |||||
Vincent Sevigny ![]() | D | 22 | 775,000$ | 775,000$ | RFA | ||||||
William Dufour ![]() | RW | 21 | 925,000$ | 925,000$ | 925,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | ![]() | @ | ![]() | ||
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Thu, Nov 9 | ![]() | @ | ![]() | ||
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Sat, Nov 25 | ![]() | @ | ![]() | ||
Sun, Nov 26 | ![]() | @ | ![]() | ||
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Sat, Dec 2 | ![]() | @ | ![]() | ||
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Thu, Dec 7 | ![]() | @ | ![]() | ||
Sat, Dec 9 | ![]() | @ | ![]() | ||
Sun, Dec 10 | ![]() | @ | ![]() | ||
Thu, Dec 14 | ![]() | @ | ![]() | ||
Sat, Dec 16 | ![]() | @ | ![]() | ||
Mon, Dec 18 | ![]() | @ | ![]() | ||
Wed, Dec 20 | ![]() | @ | ![]() | ||
Fri, Dec 22 | ![]() | @ | ![]() | ||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,864,000$ | 0$ | 81,864,000$ | 636,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Nassau Coliseum | |
City | New York | ||
Capacity | 17000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 5000 | 4000 | 3000 | 4000 | 1000 |
Ticket Price | 80$ | 46$ | 28$ | 15$ | 149$ |
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 |
81,864,000$ | 81,864,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 81,864,000$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 189 | 433,143$ | 81,864,027$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
81,864,027$ | 81,864,000$ | 41,256,316$ | -40,607,711$ |
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 |
---|---|---|---|---|---|
Aku Raty | ![]() | 2020 | 128 | Link | |
Alex Young | ![]() | 2021 | 208 | Link | |
Allan McShane | ![]() | 2019 | 70 | Link | |
Artur Akhtyamov | ![]() | 2021 | 140 | Link | |
Cade Littler | ![]() | 2023 | 204 | Link | |
Carter Gylander | ![]() | 2020 | 142 | Link | |
Dans Locmelis | ![]() | 2023 | 133 | Link | |
Dylan Kuefler | ![]() | 2023 | 145 | Link | |
Dyllan Gill | ![]() | 2023 | 198 | Link | |
Elliot Ekefjard | ![]() | 2021 | 205 | Link | |
Ivan Zhigalov | ![]() | 2023 | 194 | Link | |
Jakub Vondras | ![]() | 2023 | 178 | Link | |
Jeremy Michel | ![]() | 2020 | 204 | Link | |
Jordan Kooy | ![]() | 2019 | 193 | Link | |
Liam Arnsby | ![]() | 2023 | 213 | Link | |
Luke Tuch | ![]() | 2021 | 39 | Link | |
Matthew Poitras | ![]() | 2023 | 28 | Link | |
Nick Malik | ![]() | 2023 | 161 | Link | |
Nikolai Kovalenko | ![]() | 2019 | 162 | Link | |
Reid Schaefer | ![]() | 2023 | 47 | Link | |
Samuel Jonsson | ![]() | 2023 | 174 | Link | |
Talyn Boyko | ![]() | 2022 | 142 | Link | |
Tyler Muszelik | ![]() | 2023 | 187 | Link | |
Vyacheslav Buteyets | ![]() | 2023 | 193 | 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 |
---|---|---|---|---|---|
Aku Raty | ![]() | 2020 | 128 | Link | |
Alex Young | ![]() | 2021 | 208 | Link | |
Allan McShane | ![]() | 2019 | 70 | Link | |
Artur Akhtyamov | ![]() | 2021 | 140 | Link | |
Cade Littler | ![]() | 2023 | 204 | Link | |
Carter Gylander | ![]() | 2020 | 142 | Link | |
Dans Locmelis | ![]() | 2023 | 133 | Link | |
Dylan Kuefler | ![]() | 2023 | 145 | Link | |
Dyllan Gill | ![]() | 2023 | 198 | Link | |
Elliot Ekefjard | ![]() | 2021 | 205 | Link | |
Ivan Zhigalov | ![]() | 2023 | 194 | Link | |
Jakub Vondras | ![]() | 2023 | 178 | Link | |
Jeremy Michel | ![]() | 2020 | 204 | Link | |
Jordan Kooy | ![]() | 2019 | 193 | Link | |
Liam Arnsby | ![]() | 2023 | 213 | Link | |
Luke Tuch | ![]() | 2021 | 39 | Link | |
Matthew Poitras | ![]() | 2023 | 28 | Link | |
Nick Malik | ![]() | 2023 | 161 | Link | |
Nikolai Kovalenko | ![]() | 2019 | 162 | Link | |
Reid Schaefer | ![]() | 2023 | 47 | Link | |
Samuel Jonsson | ![]() | 2023 | 174 | Link | |
Talyn Boyko | ![]() | 2022 | 142 | Link | |
Tyler Muszelik | ![]() | 2023 | 187 | Link | |
Vyacheslav Buteyets | ![]() | 2023 | 193 | Link |