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Full Scoreboard »» |
![]() | New York Islanders 0-3-0, 0pts · 16th in Eastern Conference |
Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | LW/RW | 100.00 | 68 | 41 | 92 | 76 | 73 | 84 | 93 | 80 | 40 | 75 | 76 | 68 | 78 | 91 | 81 | 1 | 75 | 36 | 5,200,000$/1yrs | |||||
![]() | LW/RW | 100.00 | 78 | 42 | 91 | 74 | 83 | 82 | 86 | 78 | 49 | 73 | 71 | 71 | 74 | 79 | 69 | 1 | 74 | 30 | 2,250,000$/4yrs | |||||
![]() | LW/RW | 100.00 | 82 | 44 | 84 | 74 | 90 | 84 | 81 | 76 | 40 | 71 | 68 | 74 | 73 | 63 | 53 | 1 | 72 | 26 | 975,000$/3yrs | |||||
![]() | LW | 100.00 | 67 | 40 | 83 | 75 | 78 | 86 | 86 | 75 | 43 | 68 | 71 | 65 | 74 | 85 | 75 | 1 | 72 | 29 | 4,500,000$/4yrs | |||||
![]() | LW/RW | 100.00 | 63 | 43 | 83 | 83 | 77 | 86 | 74 | 79 | 59 | 72 | 74 | 67 | 79 | 59 | 50 | 1 | 72 | 22 | 925,000$/1yrs | |||||
![]() | C/LW | 100.00 | 82 | 60 | 76 | 70 | 83 | 78 | 88 | 68 | 53 | 64 | 62 | 68 | 67 | 91 | 81 | 1 | 70 | 36 | 3,500,000$/2yrs | |||||
![]() | LW/RW | 100.00 | 74 | 42 | 84 | 75 | 76 | 82 | 81 | 68 | 44 | 64 | 65 | 69 | 69 | 84 | 74 | 1 | 70 | 31 | 2,000,000$/3yrs | |||||
![]() | LW/RW | 100.00 | 60 | 40 | 81 | 74 | 77 | 81 | 79 | 70 | 49 | 65 | 68 | 63 | 71 | 82 | 72 | 1 | 69 | 29 | 2,500,000$/1yrs | |||||
![]() | LW/RW | 100.00 | 87 | 65 | 65 | 67 | 83 | 76 | 87 | 67 | 43 | 63 | 62 | 66 | 65 | 90 | 80 | 1 | 69 | 38 | 1,100,000$/4yrs | |||||
![]() | LW/RW | 100.00 | 60 | 41 | 80 | 73 | 77 | 78 | 79 | 70 | 40 | 64 | 66 | 63 | 69 | 84 | 74 | 1 | 68 | 29 | 3,000,000$/3yrs | |||||
![]() | C/LW/RW | 100.00 | 60 | 40 | 80 | 74 | 76 | 82 | 66 | 68 | 64 | 69 | 63 | 65 | 68 | 55 | 50 | 1 | 67 | 21 | 975,000$/2yrs | |||||
![]() | C | 100.00 | 60 | 43 | 75 | 66 | 65 | 73 | 80 | 67 | 45 | 65 | 62 | 60 | 65 | 88 | 75 | 1 | 66 | 35 | 4,500,000$/2yrs | |||||
![]() | C/RW | 100.00 | 59 | 40 | 78 | 73 | 80 | 84 | 65 | 67 | 46 | 64 | 64 | 66 | 68 | 55 | 50 | 1 | 66 | 22 | 975,000$/2yrs | |||||
![]() | D | 100.00 | 67 | 60 | 70 | 73 | 85 | 87 | 83 | 70 | 40 | 67 | 64 | 76 | 68 | 84 | 74 | 1 | 73 | 33 | 3,725,000$/3yrs | |||||
![]() | D | 100.00 | 67 | 42 | 78 | 74 | 85 | 86 | 80 | 73 | 40 | 71 | 65 | 74 | 71 | 73 | 63 | 1 | 73 | 26 | 2,100,000$/2yrs | |||||
![]() | D | 100.00 | 60 | 41 | 83 | 72 | 77 | 84 | 85 | 71 | 40 | 65 | 65 | 73 | 69 | 94 | 84 | 1 | 72 | 38 | 8,000,000$/1yrs | |||||
![]() | D | 100.00 | 72 | 43 | 82 | 75 | 78 | 82 | 82 | 71 | 40 | 69 | 61 | 74 | 69 | 76 | 66 | 1 | 72 | 27 | 2,900,000$/2yrs | |||||
![]() | D | 100.00 | 57 | 42 | 78 | 71 | 82 | 83 | 77 | 68 | 40 | 64 | 62 | 68 | 67 | 84 | 74 | 1 | 70 | 32 | 1,375,000$/4yrs | |||||
![]() | D | 100.00 | 63 | 60 | 69 | 70 | 82 | 83 | 81 | 67 | 40 | 62 | 60 | 71 | 66 | 89 | 79 | 1 | 70 | 36 | 5,500,000$/1yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | LW/RW | 100.00 | 56 | 41 | 76 | 68 | 68 | 74 | 70 | 67 | 46 | 63 | 65 | 56 | 67 | 77 | 56 | 1 | 64 | 27 | 1,425,000$/3yrs | |||||
![]() | D | 100.00 | 58 | 40 | 76 | 73 | 80 | 83 | 76 | 67 | 40 | 62 | 61 | 69 | 67 | 79 | 69 | 1 | 69 | 28 | 1,750,000$/3yrs | |||||
![]() | D | 100.00 | 64 | 43 | 74 | 72 | 68 | 76 | 72 | 68 | 40 | 65 | 63 | 70 | 68 | 78 | 57 | 1 | 68 | 28 | 2,000,000$/1yrs | |||||
![]() | D | 100.00 | 64 | 42 | 75 | 68 | 69 | 74 | 72 | 65 | 40 | 63 | 56 | 69 | 63 | 75 | 56 | 1 | 66 | 28 | 2,500,000$/2yrs | |||||
TEAM AVERAGE | 100.00 | 66 | 45 | 79 | 73 | 78 | 81 | 79 | 70 | 44 | 66 | 65 | 68 | 69 | 79 | 68 | 1 | 70 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 72 | 82 | 80 | 92 | 79 | 81 | 82 | 83 | 82 | 77 | 77 | 87 | 80 | 1 | 75 | 35 | 6,800,000$/1yrs | |
![]() | 0 | 100.00 | 69 | 70 | 71 | 67 | 69 | 69 | 70 | 68 | 68 | 69 | 69 | 65 | 58 | 1 | 64 | 31 | 1,800,000$/1yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 71 | 76 | 76 | 80 | 74 | 75 | 76 | 76 | 75 | 73 | 73 | 76 | 69 | 1 | 70 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Paul Maurice | 94 | 91 | 86 | 79 | 98 | 95 | 1 | CAN | 58 | 2 | 1,000,000$ |
General Manager | Maxime Barrette |
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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 | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Evgenii Dadonov | ![]() | 0 | LW/RW | 3 | 1 | 2 | 3 | -4 | 0 | 0 | 3 | 5 | 4 | 2 | 20.00% | 5 | 23.92 | 1 | 2 | 3 | 0 | 0 | 0 | 5 | 0 | 0 | 20.00% | 0 | 0 | 1.00 | 0 | 0 | 0.42 | ||
2 | Eric Robinson | ![]() | 0 | LW/RW | 3 | 1 | 1 | 2 | -3 | 2 | 0 | 0 | 8 | 0 | 5 | 12.50% | 1 | 19.31 | 1 | 1 | 2 | 0 | 0 | 0 | 4 | 0 | 0 | 33.78% | 0 | 0 | 0.67 | 0 | 0 | 0.15 | ||
3 | Alexey Toropchenko | ![]() | 0 | LW/RW | 3 | 1 | 0 | 1 | -3 | 4 | 0 | 7 | 4 | 1 | 3 | 25.00% | 1 | 21.72 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 0 | 0 | 50.00% | 0 | 0 | 0.33 | 0 | 0 | -0.18 | ||
4 | Matt Coronato | ![]() | 0 | LW/RW | 3 | 0 | 1 | 1 | -2 | 0 | 0 | 5 | 10 | 3 | 3 | 0.00% | 1 | 17.43 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.33 | 0 | 0 | 0.32 | ||
5 | Jakub Vrana | ![]() | 0 | LW/RW | 3 | 0 | 0 | 0 | -3 | 0 | 0 | 2 | 1 | 1 | 3 | 0.00% | 0 | 15.47 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.28 | ||
6 | Collin Graf | ![]() | 0 | C/RW | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 1 | 1 | 1 | 0.00% | 0 | 7.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 0 | 0 | 0.00 | 0 | 0 | -0.07 | ||
7 | Marc-Edouard Vlasic | ![]() | 0 | D | 3 | 0 | 0 | 0 | -4 | 0 | 0 | 4 | 2 | 0 | 2 | 0.00% | 2 | 25.61 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.39 | ||
8 | Derek Forbort | ![]() | 0 | D | 3 | 0 | 0 | 0 | -4 | 14 | 0 | 7 | 3 | 0 | 0 | 0.00% | 7 | 26.39 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -1.07 | ||
9 | Conor Timmins | ![]() | 0 | D | 3 | 0 | 0 | 0 | -4 | 2 | 0 | 2 | 2 | 4 | 0 | 0.00% | 5 | 16.31 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.43 | ||
10 | Matthew Poitras | ![]() | 0 | C/LW/RW | 3 | 0 | 0 | 0 | -3 | 0 | 0 | 3 | 3 | 2 | 3 | 0.00% | 1 | 11.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47.37% | 0 | 0 | 0.00 | 0 | 0 | -0.22 | ||
11 | Matt Martin | ![]() | 0 | C/LW | 3 | 0 | 0 | 0 | -2 | 0 | 0 | 5 | 3 | 0 | 5 | 0.00% | 2 | 21.03 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 29.82% | 0 | 0 | 0.00 | 0 | 0 | -0.16 | ||
12 | Josh Mahura | ![]() | 0 | D | 3 | 0 | 0 | 0 | -4 | 2 | 0 | 2 | 1 | 0 | 0 | 0.00% | 4 | 17.61 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.50 | ||
13 | Anthony Duclair | ![]() | 0 | LW | 3 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 3 | 1 | 8 | 0.00% | 0 | 18.75 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 25.00% | 0 | 0 | 0.00 | 0 | 0 | -0.09 | ||
14 | Travis Dermott | ![]() | 0 | D | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | ||
15 | Brock McGinn | ![]() | 0 | LW/RW | 3 | 0 | 0 | 0 | -3 | 0 | 0 | 3 | 11 | 0 | 3 | 0.00% | 0 | 12.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 0 | 0 | 0.00 | 0 | 0 | -0.04 | ||
16 | Ben Hutton | ![]() | 0 | D | 3 | 0 | 0 | 0 | -1 | 2 | 0 | 1 | 2 | 0 | 0 | 0.00% | 2 | 17.18 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.17 | ||
17 | Ryan Reaves | ![]() | 0 | LW/RW | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 1 | 5.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.09 | ||
18 | Robert Bortuzzo | ![]() | 0 | D | 3 | 0 | 0 | 0 | -1 | 4 | 0 | 3 | 1 | 0 | 1 | 0.00% | 3 | 13.85 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.27 | ||
Team Total or Average | 54 | 3 | 4 | 7 | -45 | 30 | 0 | 52 | 60 | 17 | 39 | 5.00% | 35 | 16.21 | 3 | 4 | 7 | 63 | 0 | 0 | 0 | 88 | 0 | 0 | 34.48% | 174 | 16 | 18 | 0 | 0 | 0.16 | 0 | 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 Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Chris Driedger | ![]() | 1 | 0 | 1 | 0 | 0.851 | 7.00 | 60 | 0 | 0 | 7 | 47 | 25 | 0 | 0 | 0.000 | 0 | 1 | 2 | 0 | 0 | 0 |
2 | Frederik Andersen | ![]() | 2 | 0 | 2 | 0 | 0.940 | 2.50 | 120 | 0 | 0 | 5 | 84 | 37 | 0 | 0 | 0.000 | 0 | 2 | 1 | 0 | 1 | 0 |
Team Total or Average | 3 | 0 | 3 | 0 | 0.908 | 4.00 | 180 | 0 | 0 | 12 | 131 | 62 | 0 | 0 | 0.000 | 0 | 3 | 3 | 0 | 1 | 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 |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 7 | 8 | 2 | 0 | 39 | 13 | 12 | 21 | 4 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 22 | 45 | 48.89% | 20 | 86 | 23.26% | 18 | 43 | 41.86% | 17 | 9 | 26 | 9 | 16 | 7 | 0.0% | 0.0% | 94.9% | 94.9 | DULL |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 17 | 6 | 5 | 6 | 0 | 45 | 12 | 6 | 17 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 22 | 45 | 48.89% | 20 | 86 | 23.26% | 18 | 43 | 41.86% | 17 | 8 | 25 | 9 | 17 | 7 | 0.0% | 5.9% | 93.3% | 99.2 | DULL |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 0 | 26 | 9 | 13 | 4 | 0 | 47 | 10 | 12 | 14 | 4 | 2 | 50.00% | 6 | 1 | 83.33% | 0 | 22 | 45 | 48.89% | 20 | 86 | 23.26% | 18 | 43 | 41.86% | 16 | 9 | 28 | 8 | 14 | 6 | 0.0% | 7.7% | 85.1% | 92.8 | Unlucky |
_Vs Division | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 43 | 15 | 18 | 10 | 0 | 92 | 22 | 18 | 31 | 6 | 3 | 50.00% | 9 | 2 | 77.78% | 0 | 22 | 45 | 48.89% | 20 | 86 | 23.26% | 18 | 43 | 41.86% | 33 | 18 | 53 | 17 | 32 | 14 | 0.0% | 7.0% | 89.1% | 96.1 | Unlucky | |
_Vs Conference | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 43 | 15 | 18 | 10 | 0 | 92 | 22 | 18 | 31 | 6 | 3 | 50.00% | 9 | 2 | 77.78% | 0 | 22 | 45 | 48.89% | 20 | 86 | 23.26% | 18 | 43 | 41.86% | 33 | 18 | 53 | 17 | 32 | 14 | 0.0% | 7.0% | 89.1% | 96.1 | Unlucky | |
_Since Last GM Reset | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 60 | 22 | 26 | 12 | 0 | 131 | 35 | 30 | 52 | 10 | 3 | 30.00% | 15 | 3 | 80.00% | 0 | 22 | 45 | 48.89% | 20 | 86 | 23.26% | 18 | 43 | 41.86% | 51 | 27 | 80 | 27 | 48 | 21 | 0.0% | 5.0% | 90.8% | 95.8 | Unlucky | |
Total | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 60 | 22 | 26 | 12 | 0 | 131 | 35 | 30 | 52 | 10 | 3 | 30.00% | 15 | 3 | 80.00% | 0 | 22 | 45 | 48.89% | 20 | 86 | 23.26% | 18 | 43 | 41.86% | 51 | 27 | 80 | 27 | 48 | 21 | 0.0% | 5.0% | 90.8% | 95.8 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 17 |
Neutral Zone | 16 |
Defensive Zone | 26 |
Puck Time | |
---|---|
Offensive Zone Start | 45 |
Neutral Zone Start | 43 |
Defensive Zone Start | 86 |
Puck Time | |
---|---|
With Puck | 25 |
Without Puck | 34 |
Faceoffs | |
---|---|
Faceoffs Won | 60 |
Faceoffs Lost | 114 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.3 | 9.57 |
2nd Period | 16.0 | 20.31 |
3rd Period | 20.0 | 30.68 |
Overtime | 20.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.3 | 1.65 |
3rd Period | 1.0 | 2.67 |
Overtime | 1.0 | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 2 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 10 |
---|---|
PP Goal | 3 |
PK Attempt | 15 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 20.0 |
Shots Against | 43.7 |
Goals For | 1.0 |
Goals Against | 4.0 |
Hits | 17.3 |
Shots Blocked | 11.7 |
Pim | 10.0 |
![]() | |
Projected Total Cap Hit | 72,325,000$ |
Projected Cap Space | 23,175,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 3,006,122$ |
Players In Salary Cap | 25 |
Contracts | 55/50 |
LTIR Players | 0 |
Islanders Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Nylander ![]() | LW/RW | 27 | 1,425,000$ | 1,425,000$ | 1,425,000$ | 1,425,000$ | UFA | ||||
Alexey Toropchenko ![]() | LW/RW | 26 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Anthony Duclair ![]() | LW | 29 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Ben Hutton ![]() | D | 32 | 1,375,000$ | 1,375,000$ | 1,375,000$ | 1,375,000$ | 1,375,000$ | UFA | |||
Brock McGinn ![]() | LW/RW | 31 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Caleb Jones ![]() | D | 28 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Chris Driedger ![]() | G | 31 | 1,800,000$ | 1,800,000$ | UFA | ||||||
Collin Graf ![]() | C/RW | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Conor Timmins ![]() | D | 26 | 2,100,000$ | 2,100,000$ | 2,100,000$ | ![]() | |||||
Derek Forbort ![]() | D | 33 | 3,725,000$ | 3,725,000$ | 3,725,000$ | 3,725,000$ | UFA | ||||
Eric Robinson ![]() | LW/RW | 30 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||
Ethan Bear ![]() | D | 28 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Evgenii Dadonov ![]() | LW/RW | 36 | 5,200,000$ | 5,200,000$ | UFA | ||||||
Frederik Andersen ![]() | G | 35 | 6,800,000$ | 6,800,000$ | UFA | ||||||
Jakub Vrana ![]() | LW/RW | 29 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Josh Mahura ![]() | D | 27 | 2,900,000$ | 2,900,000$ | 2,900,000$ | UFA | |||||
Marc-Edouard Vlasic ![]() | D | 38 | 8,000,000$ | 8,000,000$ | UFA | ||||||
Matt Coronato ![]() | LW/RW | 22 | 925,000$ | 975,000$ | RFA | ||||||
Matt Martin ![]() | C/LW | 36 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Matthew Poitras ![]() | C/LW/RW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Mike Hoffman ![]() | C | 35 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Robert Bortuzzo ![]() | D | 36 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Ryan Reaves ![]() | LW/RW | 38 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||
Sonny Milano ![]() | LW/RW | 29 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Travis Dermott ![]() | D | 28 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Artyom Levshunov ![]() | D | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Ben Meyers ![]() | C/LW | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | ![]() | |||||
Brandon Gignac ![]() | C | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
Brendan Warren ![]() | LW | 28 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Corey Andonovski ![]() | RW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Dennis Hildeby ![]() | G | 23 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Dmitry Osipov ![]() | D | 28 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Dylan Coghlan ![]() | D | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Ethan Del Mastro ![]() | D | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Hayden Hodgson ![]() | RW | 29 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Henri Nikkanen ![]() | C | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||
Jackson Cates ![]() | C/LW/RW | 27 | 1,100,000$ | 1,100,000$ | ![]() | ||||||
Jake Chiasson ![]() | RW | 22 | 843,333$ | 975,000$ | RFA | ||||||
Josh Davies ![]() | LW | 21 | 828,333$ | 975,000$ | 975,000$ | RFA | |||||
Justin Ertel ![]() | LW | 22 | 867,500$ | 975,000$ | 975,000$ | RFA | |||||
Marek Alscher ![]() | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Mason Shaw ![]() | C/LW/RW | 26 | 1,500,000$ | 1,500,000$ | ![]() | ||||||
Maxim Barbashev ![]() | C/LW/RW | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Mitchell Vande Sompel ![]() | D | 28 | 1,415,000$ | 1,415,000$ | 1,415,000$ | UFA | |||||
Nick DeSimone ![]() | D | 30 | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
Oscar Eklind ![]() | C/LW | 26 | 975,000$ | 975,000$ | ![]() | ||||||
Ryan Hofer ![]() | C | 23 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Ryan Schmelzer ![]() | C | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
Samuel Savoie ![]() | LW | 21 | 846,667$ | 975,000$ | 975,000$ | RFA | |||||
Seamus Casey ![]() | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Stephen Halliday ![]() | C | 23 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Thomas Milic ![]() | G | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Ty Tullio ![]() | RW | 23 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Tyler Madden ![]() | C | 25 | 1,200,000$ | 1,200,000$ | ![]() | ||||||
Zac Funk ![]() | RW | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 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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1 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 7 | 8 | 2 | 0 | 39 | 13 | 12 | 21 | 4 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 22 | 45 | 48.89% | 20 | 86 | 23.26% | 18 | 43 | 41.86% | 17 | 9 | 26 | 9 | 16 | 7 | 0.0% | 0.0% | 94.9% | 94.9 | DULL |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 17 | 6 | 5 | 6 | 0 | 45 | 12 | 6 | 17 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 22 | 45 | 48.89% | 20 | 86 | 23.26% | 18 | 43 | 41.86% | 17 | 8 | 25 | 9 | 17 | 7 | 0.0% | 5.9% | 93.3% | 99.2 | DULL |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 0 | 26 | 9 | 13 | 4 | 0 | 47 | 10 | 12 | 14 | 4 | 2 | 50.00% | 6 | 1 | 83.33% | 0 | 22 | 45 | 48.89% | 20 | 86 | 23.26% | 18 | 43 | 41.86% | 16 | 9 | 28 | 8 | 14 | 6 | 0.0% | 7.7% | 85.1% | 92.8 | Unlucky |
_Vs Division | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 43 | 15 | 18 | 10 | 0 | 92 | 22 | 18 | 31 | 6 | 3 | 50.00% | 9 | 2 | 77.78% | 0 | 22 | 45 | 48.89% | 20 | 86 | 23.26% | 18 | 43 | 41.86% | 33 | 18 | 53 | 17 | 32 | 14 | 0.0% | 7.0% | 89.1% | 96.1 | Unlucky | |
_Vs Conference | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 43 | 15 | 18 | 10 | 0 | 92 | 22 | 18 | 31 | 6 | 3 | 50.00% | 9 | 2 | 77.78% | 0 | 22 | 45 | 48.89% | 20 | 86 | 23.26% | 18 | 43 | 41.86% | 33 | 18 | 53 | 17 | 32 | 14 | 0.0% | 7.0% | 89.1% | 96.1 | Unlucky | |
_Since Last GM Reset | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 60 | 22 | 26 | 12 | 0 | 131 | 35 | 30 | 52 | 10 | 3 | 30.00% | 15 | 3 | 80.00% | 0 | 22 | 45 | 48.89% | 20 | 86 | 23.26% | 18 | 43 | 41.86% | 51 | 27 | 80 | 27 | 48 | 21 | 0.0% | 5.0% | 90.8% | 95.8 | Unlucky | |
Total | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 60 | 22 | 26 | 12 | 0 | 131 | 35 | 30 | 52 | 10 | 3 | 30.00% | 15 | 3 | 80.00% | 0 | 22 | 45 | 48.89% | 20 | 86 | 23.26% | 18 | 43 | 41.86% | 51 | 27 | 80 | 27 | 48 | 21 | 0.0% | 5.0% | 90.8% | 95.8 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 17 |
Neutral Zone | 16 |
Defensive Zone | 26 |
Puck Time | |
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Offensive Zone Start | 45 |
Neutral Zone Start | 43 |
Defensive Zone Start | 86 |
Puck Time | |
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With Puck | 25 |
Without Puck | 34 |
Faceoffs | |
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Faceoffs Won | 60 |
Faceoffs Lost | 114 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.3 | 9.57 |
2nd Period | 16.0 | 20.31 |
3rd Period | 20.0 | 30.68 |
Overtime | 20.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.3 | 1.65 |
3rd Period | 1.0 | 2.67 |
Overtime | 1.0 | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 2 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 10 |
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PP Goal | 3 |
PK Attempt | 15 |
PK Goal Against | 3 |
Home | |
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Shots For | 20.0 |
Shots Against | 43.7 |
Goals For | 1.0 |
Goals Against | 4.0 |
Hits | 17.3 |
Shots Blocked | 11.7 |
Pim | 10.0 |
Date | Matchup | Result | Detail | |||||||||||
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Fri, Oct 10 | ![]() | @ | ![]() | NYI1,PIT3 | RECAP | |||||||||
Sun, Oct 12 | ![]() | @ | ![]() | WAS7,NYI2 | RECAP | |||||||||
Tue, Oct 14 | ![]() | @ | ![]() | WPG2,NYI0 | RECAP | |||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
72,325,000$ | 0$ | 72,325,000$ | 23,175,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Nassau Veterans Memorial | |
City | New York | ||
Capacity | 16234 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 2234 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 20$ | 200$ |
Attendance | 8422 | 7643 | 4000 | 4468 | 1984 |
Attendance PCT | 70.18% | 76.43% | 100.00% | 100.00% | 99.20% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
39 | 13259 - 81.67% | 1,252,511$ | 2,505,022$ | 16234 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
72,325,000$ | 72,325,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
3,047,786$ | 72,325,000$ | 3,006,122$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
48,847,929$ | 184 | 381,901$ | 70,269,784$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
74,334,390$ | 72,325,000$ | 36,868,054$ | 11,381,593$ |
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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 |
---|---|---|---|---|---|---|---|
2026 | ![]() ![]() | ![]() ![]() | ![]() ![]() | ![]() | ![]() ![]() | ![]() ![]() | |
2027 | ![]() | ![]() ![]() | ![]() ![]() ![]() | ![]() | ![]() | ![]() | |
2028 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2030 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Alfons Freij | ![]() | 2024 | 35 | ||
Andrei Loshko | ![]() | 2023 | 117 | ||
Andrei Trofimov | ![]() | 2025 | 161 | ||
Andrew Basha | ![]() | 2024 | 34 | ||
Ashton Schultz | ![]() | 2025 | 164 | ||
Benjamin Roger | ![]() | 2021 | 42 | ||
Blake Montgomery | ![]() | 2024 | 93 | ||
Blake Siebenaler | ![]() | Link | |||
Brent Gates Jr. | ![]() | ||||
Bryce Pickford | ![]() | 2025 | 82 | ||
Caleb Desnoyers | ![]() | 2025 | 3 | ||
Cameron Hillis | ![]() | ||||
Carsen Musser | ![]() | 2023 | 160 | ||
Chase Cheslock | ![]() | 2023 | 179 | ||
Chris Tierney | ![]() | ||||
Cole Hults | ![]() | Link | |||
Conner Roulette | ![]() | 2021 | 88 | ||
Cooper Simpson | ![]() | 2025 | 65 | ||
Dalyn Wakely | ![]() | 2024 | 147 | ||
Daniel Hauser | ![]() | 2022 | 219 | ||
David Bedkowski | ![]() | 2025 | 67 | ||
David Farrance | ![]() | 2017 | 124 | ||
Dean Kukan | ![]() | Link | |||
Deni Goure | ![]() | 2024 | 180 | ||
Dominik Badinka | ![]() | 2024 | 28 | ||
Ethan Czata | ![]() | 2025 | 58 | ||
Everett Baldwin | ![]() | 2025 | 129 | ||
Fedor Gordeev | ![]() | 2017 | 177 | ||
Gabe Smith | ![]() | 2024 | 102 | ||
Hagen Burrows | ![]() | 2024 | 119 | ||
Henry Mews | ![]() | 2024 | 58 | ||
Hugo Alnefelt | ![]() | 2019 | 109 | ||
Hugo Gabrielson | ![]() | 2021 | 207 | ||
Hunter Jones | ![]() | 2019 | 40 | ||
Jack Kopacka | ![]() | Link | |||
Jack Murtagh | ![]() | 2025 | 36 | ||
Jake Fisher | ![]() | 2024 | 135 | ||
Jakub Galvas | ![]() | ||||
Jan Chovan | ![]() | 2025 | 152 | ||
Jonathan Morello | ![]() | 2024 | 205 | ||
Jordy Bellerive | ![]() | 2018 | 185 | ||
Libor Hajek | ![]() | ||||
Linus Soderstrom | ![]() | 2014 | 82 | ||
Logan Couture | ![]() | ||||
Lucas Pettersson | ![]() | 2024 | 36 | ||
Lukas Fischer | ![]() | 2024 | 66 | ||
Matthew Andonovski | ![]() | 2023 | 171 | ||
Matthew Morden | ![]() | 2022 | 156 | ||
Matthew Strome | ![]() | 2017 | 82 | ||
Max Psenicka | ![]() | 2025 | 57 | ||
Michael Misa | ![]() | 2025 | 2 | ||
Michal Svrcek | ![]() | 2025 | 98 | ||
Mike Smith | ![]() | ||||
Mikkel Eriksen | ![]() | 2025 | 97 | ||
Milton Gastrin | ![]() | 2025 | 33 | ||
Nicklas Backstrom | ![]() | ||||
Nicolas Meloche | ![]() | ||||
Niilopekka Muhonen | ![]() | 2024 | 130 | ||
Noah Read | ![]() | 2025 | 112 | ||
Owen Conrad | ![]() | 2025 | 193 | ||
Radovan Bondra | ![]() | 2015 | 117 | ||
Ryerson Leenders | ![]() | 2024 | 161 | ||
Sam Sedley | ![]() | 2024 | 94 | ||
Seth Barton | ![]() | ||||
Shane Vansaghi | ![]() | 2025 | 50 | ||
Taro Hirose | ![]() | ||||
Thimo Nickl | ![]() | 2020 | 157 | ||
Todd Burgess | ![]() | 2016 | 96 | ||
Tommy Lafreniere | ![]() | 2025 | 84 | ||
Topi Ronni | ![]() | 2022 | 71 | ||
Trent Swick | ![]() | 2025 | 175 | ||
Tyler Wall | ![]() | 2016 | 203 | Link | |
Veeti Louhivaara | ![]() | 2024 | 157 | ||
Viggo Nordlund | ![]() | 2025 | 166 | ||
Vinzenz Rohrer | ![]() | 2022 | 73 | ||
Yegor Naumov | ![]() | 2021 | 209 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2026 | ![]() ![]() | ![]() ![]() | ![]() ![]() | ![]() | ![]() ![]() | ![]() ![]() | |
2027 | ![]() | ![]() ![]() | ![]() ![]() ![]() | ![]() | ![]() | ![]() | |
2028 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2030 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Alfons Freij | ![]() | 2024 | 35 | ||
Andrei Loshko | ![]() | 2023 | 117 | ||
Andrei Trofimov | ![]() | 2025 | 161 | ||
Andrew Basha | ![]() | 2024 | 34 | ||
Ashton Schultz | ![]() | 2025 | 164 | ||
Benjamin Roger | ![]() | 2021 | 42 | ||
Blake Montgomery | ![]() | 2024 | 93 | ||
Blake Siebenaler | ![]() | Link | |||
Brent Gates Jr. | ![]() | ||||
Bryce Pickford | ![]() | 2025 | 82 | ||
Caleb Desnoyers | ![]() | 2025 | 3 | ||
Cameron Hillis | ![]() | ||||
Carsen Musser | ![]() | 2023 | 160 | ||
Chase Cheslock | ![]() | 2023 | 179 | ||
Chris Tierney | ![]() | ||||
Cole Hults | ![]() | Link | |||
Conner Roulette | ![]() | 2021 | 88 | ||
Cooper Simpson | ![]() | 2025 | 65 | ||
Dalyn Wakely | ![]() | 2024 | 147 | ||
Daniel Hauser | ![]() | 2022 | 219 | ||
David Bedkowski | ![]() | 2025 | 67 | ||
David Farrance | ![]() | 2017 | 124 | ||
Dean Kukan | ![]() | Link | |||
Deni Goure | ![]() | 2024 | 180 | ||
Dominik Badinka | ![]() | 2024 | 28 | ||
Ethan Czata | ![]() | 2025 | 58 | ||
Everett Baldwin | ![]() | 2025 | 129 | ||
Fedor Gordeev | ![]() | 2017 | 177 | ||
Gabe Smith | ![]() | 2024 | 102 | ||
Hagen Burrows | ![]() | 2024 | 119 | ||
Henry Mews | ![]() | 2024 | 58 | ||
Hugo Alnefelt | ![]() | 2019 | 109 | ||
Hugo Gabrielson | ![]() | 2021 | 207 | ||
Hunter Jones | ![]() | 2019 | 40 | ||
Jack Kopacka | ![]() | Link | |||
Jack Murtagh | ![]() | 2025 | 36 | ||
Jake Fisher | ![]() | 2024 | 135 | ||
Jakub Galvas | ![]() | ||||
Jan Chovan | ![]() | 2025 | 152 | ||
Jonathan Morello | ![]() | 2024 | 205 | ||
Jordy Bellerive | ![]() | 2018 | 185 | ||
Libor Hajek | ![]() | ||||
Linus Soderstrom | ![]() | 2014 | 82 | ||
Logan Couture | ![]() | ||||
Lucas Pettersson | ![]() | 2024 | 36 | ||
Lukas Fischer | ![]() | 2024 | 66 | ||
Matthew Andonovski | ![]() | 2023 | 171 | ||
Matthew Morden | ![]() | 2022 | 156 | ||
Matthew Strome | ![]() | 2017 | 82 | ||
Max Psenicka | ![]() | 2025 | 57 | ||
Michael Misa | ![]() | 2025 | 2 | ||
Michal Svrcek | ![]() | 2025 | 98 | ||
Mike Smith | ![]() | ||||
Mikkel Eriksen | ![]() | 2025 | 97 | ||
Milton Gastrin | ![]() | 2025 | 33 | ||
Nicklas Backstrom | ![]() | ||||
Nicolas Meloche | ![]() | ||||
Niilopekka Muhonen | ![]() | 2024 | 130 | ||
Noah Read | ![]() | 2025 | 112 | ||
Owen Conrad | ![]() | 2025 | 193 | ||
Radovan Bondra | ![]() | 2015 | 117 | ||
Ryerson Leenders | ![]() | 2024 | 161 | ||
Sam Sedley | ![]() | 2024 | 94 | ||
Seth Barton | ![]() | ||||
Shane Vansaghi | ![]() | 2025 | 50 | ||
Taro Hirose | ![]() | ||||
Thimo Nickl | ![]() | 2020 | 157 | ||
Todd Burgess | ![]() | 2016 | 96 | ||
Tommy Lafreniere | ![]() | 2025 | 84 | ||
Topi Ronni | ![]() | 2022 | 71 | ||
Trent Swick | ![]() | 2025 | 175 | ||
Tyler Wall | ![]() | 2016 | 203 | Link | |
Veeti Louhivaara | ![]() | 2024 | 157 | ||
Viggo Nordlund | ![]() | 2025 | 166 | ||
Vinzenz Rohrer | ![]() | 2022 | 73 | ||
Yegor Naumov | ![]() | 2021 | 209 |
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