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New York Islanders 0-0-0, 0pts · 6th in Eastern Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Liam Foudy | 19 | C/LW | 100.00 | 70 | 38 | 93 | 69 | 79 | 86 | 79 | 65 | 66 | 61 | 63 | 64 | 68 | 66 | 67 | 81 | 75 | 0 | 24 | 775,000$/1yrs | |||
Marcus Johansson | 27 | C/LW | 100.00 | 62 | 36 | 94 | 73 | 78 | 87 | 89 | 70 | 56 | 72 | 68 | 64 | 74 | 85 | 78 | 43 | 75 | 0 | 33 | 2,000,000$/1yrs | |||
Trevor Lewis | 61 | C/LW/RW | 100.00 | 74 | 36 | 93 | 67 | 78 | 79 | 90 | 64 | 75 | 60 | 61 | 82 | 62 | 88 | 79 | 37 | 75 | 0 | 37 | 975,000$/1yrs | |||
Kiefer Sherwood | 86 | C/LW/RW | 100.00 | 83 | 59 | 79 | 68 | 73 | 89 | 87 | 66 | 63 | 67 | 68 | 61 | 67 | 69 | 71 | 36 | 75 | 0 | 29 | 1,500,000$/2yrs | |||
Cam Atkinson | 13 | LW/RW | 100.00 | 63 | 36 | 88 | 73 | 63 | 86 | 72 | 68 | 59 | 67 | 69 | 75 | 72 | 83 | 77 | 25 | 75 | 0 | 35 | 5,875,000$/1yrs | |||
Trevor Moore | 0 | C/LW/RW | 100.00 | 70 | 34 | 91 | 78 | 71 | 88 | 87 | 76 | 56 | 73 | 75 | 80 | 74 | 71 | 72 | 36 | 75 | 0 | 29 | 4,500,000$/4yrs | |||
Dylan Cozens | 96 | C | 100.00 | 70 | 45 | 84 | 76 | 82 | 87 | 90 | 78 | 77 | 79 | 76 | 77 | 81 | 64 | 68 | 86 | 75 | 0 | 23 | 7,100,000$/6yrs | |||
Noah Gregor | 62 | C/LW | 100.00 | 78 | 44 | 87 | 66 | 73 | 80 | 82 | 64 | 65 | 60 | 63 | 71 | 64 | 67 | 69 | 58 | 75 | 0 | 26 | 850,000$/1yrs | |||
Alex Laferriere (R) | 78 | RW | 100.00 | 69 | 52 | 83 | 65 | 78 | 92 | 75 | 63 | 58 | 60 | 62 | 61 | 65 | 63 | 67 | 66 | 75 | 0 | 22 | 875,000$/1yrs | |||
Dmitri Voronkov (R) | 93 | C/LW | 100.00 | 83 | 45 | 78 | 68 | 97 | 82 | 74 | 69 | 75 | 65 | 67 | 63 | 68 | 64 | 65 | 58 | 75 | 0 | 23 | 925,000$/1yrs | |||
Filip Forsberg | 9 | LW/RW | 100.00 | 76 | 39 | 84 | 82 | 78 | 89 | 85 | 84 | 59 | 81 | 87 | 67 | 85 | 77 | 79 | 68 | 75 | 0 | 30 | 9,000,000$/6yrs | |||
Jonathan Drouin | 0 | C/LW/RW | 100.00 | 63 | 34 | 90 | 77 | 72 | 87 | 86 | 75 | 78 | 79 | 65 | 66 | 76 | 74 | 70 | 72 | 75 | 0 | 29 | 3,000,000$/1yrs | |||
Brendan Gaunce | 53 | C/RW | 100.00 | 78 | 42 | 78 | 66 | 87 | 86 | 77 | 63 | 85 | 64 | 65 | 67 | 63 | 70 | 72 | 64 | 75 | 0 | 30 | 775,000$/2yrs | |||
Jake Guentzel | 0 | C/LW/RW | 100.00 | 69 | 34 | 86 | 83 | 68 | 91 | 87 | 85 | 62 | 83 | 84 | 65 | 82 | 74 | 76 | 52 | 75 | 0 | 29 | 9,750,000$/7yrs | |||
Nils Lundkvist | 61 | D | 100.00 | 68 | 35 | 89 | 72 | 75 | 86 | 82 | 69 | 30 | 74 | 62 | 63 | 53 | 64 | 65 | 78 | 75 | 0 | 24 | 1,250,000$/1yrs | |||
Alexander Romanov | 28 | D | 100.00 | 80 | 39 | 87 | 69 | 80 | 91 | 89 | 66 | 30 | 74 | 60 | 84 | 53 | 65 | 67 | 73 | 75 | 0 | 24 | 2,500,000$/1yrs | |||
Ryan McDonagh (A) | 27 | D | 100.00 | 66 | 36 | 89 | 70 | 80 | 92 | 87 | 67 | 30 | 77 | 56 | 90 | 51 | 86 | 76 | 44 | 75 | 0 | 35 | 6,750,000$/2yrs | |||
Jack Johnson | 2 | D | 100.00 | 71 | 37 | 87 | 64 | 83 | 88 | 90 | 63 | 30 | 68 | 56 | 79 | 49 | 90 | 77 | 40 | 75 | 0 | 37 | 1,000,000$/1yrs | |||
Hampus Lindholm | 47 | D | 100.00 | 68 | 41 | 75 | 71 | 91 | 94 | 89 | 68 | 30 | 81 | 64 | 82 | 53 | 78 | 71 | 70 | 75 | 0 | 30 | 6,750,000$/5yrs | |||
Seth Jones | 4 | D | 100.00 | 72 | 38 | 85 | 76 | 89 | 95 | 86 | 72 | 30 | 78 | 71 | 80 | 58 | 79 | 73 | 71 | 75 | 0 | 29 | 9,107,143$/5yrs | |||
Jan Rutta | 84 | D | 100.00 | 71 | 37 | 83 | 66 | 84 | 89 | 83 | 64 | 30 | 71 | 61 | 90 | 52 | 75 | 77 | 23 | 75 | 0 | 34 | 2,750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 72 | 40 | 86 | 71 | 79 | 88 | 84 | 69 | 54 | 71 | 67 | 73 | 65 | 74 | 72 | 56 | 75 | 0 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
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Alex Nedeljkovic | 39 | 100.00 | 85 | 84 | 80 | 79 | 84 | 83 | 85 | 84 | 83 | 85 | 84 | 70 | 81 | 63 | 75 | 0 | 28 | 2,500,000$/2yrs |
Charlie Lindgren | 41 | 100.00 | 92 | 86 | 81 | 76 | 91 | 90 | 92 | 91 | 90 | 92 | 91 | 72 | 85 | 54 | 75 | 0 | 30 | 1,100,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 89 | 85 | 81 | 78 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 71 | 83 | 59 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Brunette | 78 | 82 | 85 | 78 | 76 | 71 | 74 | CAN | 51 | 1 | 2,000,000$ |
General Manager | Thomas Dumont |
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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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Projected Total Cap Hit | 82,604,648$ |
Projected Cap Space | 5,395,352$ |
Retains And Buyout Cap Hit | 997,500$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 26 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Laferriere | RW | 22 | 875,000$ | 875,000$ | |||||||
Alex Nedeljkovic | C/LW/G | 28 | 2,500,000$ | 2,500,000$ | 2,500,000$ | RFA | |||||
Alexander Romanov | D/G | 24 | 2,500,000$ | 2,500,000$ | RFA | ||||||
Brendan Gaunce | C/RW | 30 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Cam Atkinson | LW/RW | 35 | 5,875,000$ | 5,875,000$ | UFA | ||||||
Charlie Lindgren | D/G | 30 | 1,100,000$ | 1,100,000$ | |||||||
Dmitri Voronkov | C/LW | 23 | 925,000$ | 925,000$ | RFA | ||||||
Dylan Cozens | C | 23 | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | RFA | |
Filip Forsberg | LW/RW | 30 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | |
Hampus Lindholm | D | 30 | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | UFA | ||
Jack Johnson | D | 37 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Jake Guentzel | C/LW/RW | 29 | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | UFA |
Jan Rutta | D | 34 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Jonathan Drouin | C/LW/RW | 29 | 3,000,000$ | 3,000,000$ | RFA | ||||||
Kiefer Sherwood | C/LW/RW | 29 | 1,500,000$ | 1,500,000$ | 1,500,000$ | RFA | |||||
Liam Foudy | C/LW/G | 24 | 775,000$ | 775,000$ | RFA | ||||||
Marcus Johansson | C/LW | 33 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Nils Lundkvist | D/G | 24 | 1,250,000$ | 1,250,000$ | RFA | ||||||
Noah Gregor | C/LW | 26 | 850,000$ | 850,000$ | RFA | ||||||
Ryan McDonagh | D | 35 | 6,750,000$ | 6,750,000$ | 6,750,000$ | UFA | |||||
Seth Jones | D | 29 | 9,107,143$ | 9,107,142$ | 9,107,142$ | 9,107,142$ | 9,107,142$ | 9,107,142$ | UFA | ||
Trevor Lewis | C/LW/RW | 37 | 975,000$ | 975,000$ | UFA | ||||||
Trevor Moore | C/LW/RW | 29 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA |
Forward Lines | |||||||
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1st Power Play Unit | |||||||
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2nd Power Play Unit | |||||||
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Goalies | |||||||
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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 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
Puck Time | |
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Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
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 | 0 |
Without Puck | 0 |
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 | 0.0 | 9.57 |
2nd Period | 0.0 | 20.31 |
3rd Period | 0.0 | 30.68 |
Overtime | 0.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 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 | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,057,142$ | 997,500$ | 82,604,648$ | 5,395,352$ |
Arena | Goal Horn | About us | |
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Name | Barclays Center | ||
City | New York | ||
Capacity | 15795 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 1795 | 1000 |
Ticket Price | 100$ | 85$ | 70$ | 50$ | 175$ |
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$ | 15795 | 80 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
84,057,142$ | 84,057,143$ | 0$ | 997,500$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 416,363$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 196 | 439,067$ | 86,057,132$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
88,947,227$ | 82,604,648$ | 52,163,438$ | -36,783,789$ |
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 |
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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Aiden Fink | Islanders | 2023 | 100 | ||
Alexander Zetterberg | Islanders | 2024 | 82 | ||
Anthony Romano | Islanders | 2019 | 182 | ||
Axel Hurtig | Islanders | 2023 | 115 | ||
Case McCarthy | Islanders | 2019 | 128 | ||
Cole Beaudoin | Islanders | 2024 | 30 | ||
Easton Cowan | Islanders | 2023 | 99 | ||
Eric Jamieson | Islanders | 2024 | 165 | ||
Eriks Mateiko | Islanders | 2024 | 56 | ||
Ethan Gauthier | Islanders | 2023 | 36 | ||
Evan Konyen | Islanders | 2022 | 181 | ||
Gabe Smith | Islanders | 2024 | 133 | ||
Igor Chernyshov | Islanders | 2024 | 32 | ELC 2024-25 | Link |
Ivan Anoshko | Islanders | 2023 | 164 | ||
Ivan Zhigalov | Islanders | 2022 | 85 | ||
Jack Beck | Islanders | 2021 | 187 | ||
Jack Berglund | Islanders | 2024 | 101 | ||
Juuso Maenpaa | Islanders | 2020 | 90 | ||
Kenta Isogai | Islanders | 2024 | 197 | ||
Luca Marrelli | Islanders | 2024 | 69 | ||
Luca Pinelli | Islanders | 2023 | 68 | ||
Martin Rysavy | Islanders | 2021 | 219 | ||
Mathew Ward | Islanders | 2022 | 118 | ||
Matvei Gridin | Islanders | 2024 | 54 | ||
Michael Hagens | Islanders | 2023 | 196 | ||
Patrik Hamrla | Islanders | 2021 | 91 | ||
Reese Laubach | Islanders | 2022 | 149 | ||
Sam Dickinson | Islanders | 2024 | 6 | ||
Stanislav Demin | Islanders | ELC 2023-24 (activation) | |||
Timur Mukhanov | Islanders | 2023 | 96 | ||
Yegor Surin | Islanders | 2024 | 37 |
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