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Full Scoreboard »» |
![]() | New York Islanders 3-3-0, 6pts · 13th 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 | 99.00 | 63 | 43 | 93 | 74 | 79 | 86 | 93 | 77 | 56 | 77 | 70 | 72 | 74 | 90 | 86 | 1 | 75 | 33 | 5,500,000$/1yrs | |||||
![]() | LW/RW | 99.00 | 77 | 54 | 85 | 80 | 75 | 84 | 87 | 76 | 50 | 68 | 72 | 76 | 76 | 79 | 69 | 1 | 74 | 29 | 3,500,000$/1yrs | |||||
![]() | LW/RW | 99.00 | 69 | 47 | 87 | 75 | 78 | 83 | 86 | 80 | 40 | 77 | 72 | 67 | 75 | 79 | 69 | 1 | 74 | 27 | 2,800,000$/1yrs | |||||
![]() | LW/RW | 100.00 | 85 | 70 | 70 | 69 | 88 | 82 | 94 | 75 | 52 | 72 | 68 | 68 | 71 | 91 | 81 | 1 | 73 | 35 | 4,000,000$/2yrs | |||||
![]() | C | 100.00 | 62 | 47 | 81 | 71 | 78 | 86 | 86 | 74 | 74 | 75 | 67 | 63 | 70 | 91 | 87 | 1 | 72 | 35 | 7,000,000$/3yrs | |||||
![]() | C/LW/RW | 100.00 | 77 | 47 | 87 | 75 | 85 | 81 | 77 | 72 | 78 | 71 | 64 | 72 | 70 | 59 | 52 | 1 | 71 | 23 | 2,000,000$/4yrs | |||||
![]() | LW/RW | 100.00 | 59 | 43 | 76 | 69 | 83 | 86 | 84 | 73 | 43 | 72 | 63 | 62 | 68 | 90 | 80 | 1 | 70 | 33 | 7,500,000$/1yrs | |||||
![]() | LW/RW | 100.00 | 81 | 54 | 71 | 77 | 71 | 79 | 82 | 71 | 40 | 65 | 64 | 72 | 70 | 79 | 69 | 1 | 70 | 30 | 3,250,000$/3yrs | |||||
![]() | LW/RW | 100.00 | 66 | 43 | 84 | 75 | 81 | 83 | 77 | 73 | 42 | 67 | 65 | 66 | 71 | 69 | 59 | 1 | 69 | 23 | 2,250,000$/1yrs | |||||
![]() | C/LW | 100.00 | 66 | 43 | 90 | 75 | 76 | 82 | 79 | 73 | 50 | 69 | 64 | 69 | 71 | 64 | 54 | 1 | 69 | 25 | 800,000$/1yrs | |||||
![]() | RW | 100.00 | 59 | 43 | 77 | 75 | 76 | 83 | 75 | 70 | 43 | 64 | 64 | 67 | 70 | 77 | 67 | 1 | 68 | 27 | 2,050,000$/2yrs | |||||
![]() | RW | 100.00 | 63 | 45 | 84 | 72 | 80 | 77 | 67 | 68 | 41 | 64 | 63 | 66 | 68 | 52 | 50 | 1 | 66 | 22 | 1,250,000$/4yrs | |||||
![]() | D | 100.00 | 75 | 57 | 71 | 72 | 84 | 83 | 88 | 70 | 40 | 64 | 62 | 78 | 68 | 87 | 77 | 1 | 74 | 34 | 5,500,000$/3yrs | |||||
![]() | D | 99.00 | 75 | 50 | 75 | 75 | 80 | 86 | 83 | 76 | 40 | 71 | 66 | 75 | 73 | 69 | 59 | 1 | 73 | 26 | 2,500,000$/4yrs | |||||
![]() | D | 100.00 | 77 | 76 | 63 | 75 | 78 | 85 | 74 | 70 | 40 | 63 | 62 | 75 | 69 | 59 | 52 | 1 | 71 | 27 | 1,200,000$/2yrs | |||||
![]() | D | 100.00 | 60 | 43 | 77 | 72 | 85 | 82 | 68 | 70 | 40 | 65 | 61 | 66 | 68 | 59 | 52 | 1 | 68 | 25 | 1,120,000$/1yrs | |||||
![]() | D | 100.00 | 59 | 43 | 76 | 72 | 65 | 72 | 70 | 67 | 40 | 65 | 58 | 69 | 66 | 62 | 53 | 1 | 66 | 28 | 2,000,000$/1yrs | |||||
![]() | D | 100.00 | 71 | 44 | 63 | 69 | 73 | 71 | 67 | 65 | 40 | 62 | 57 | 70 | 63 | 55 | 50 | 1 | 66 | 25 | 1,415,000$/4yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | RW | 100.00 | 53 | 47 | 67 | 72 | 55 | 71 | 71 | 68 | 45 | 65 | 65 | 58 | 68 | 64 | 54 | 1 | 64 | 30 | 1,800,000$/1yrs | |||||
![]() | LW | 100.00 | 57 | 43 | 65 | 65 | 63 | 72 | 74 | 63 | 43 | 61 | 54 | 63 | 60 | 86 | 73 | 1 | 63 | 34 | 1,415,000$/4yrs | |||||
![]() | D | 100.00 | 60 | 44 | 67 | 69 | 63 | 67 | 66 | 64 | 40 | 65 | 55 | 68 | 63 | 57 | 50 | 1 | 64 | 28 | 1,600,000$/2yrs | |||||
TEAM AVERAGE | 99.81 | 67 | 49 | 77 | 73 | 76 | 80 | 78 | 71 | 47 | 68 | 64 | 69 | 69 | 72 | 64 | 1 | 70 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 62 | 71 | 71 | 77 | 69 | 71 | 72 | 73 | 73 | 67 | 71 | 91 | 81 | 1 | 67 | 41 | 6,250,000$/2yrs | |
![]() | 0 | 100.00 | 75 | 70 | 67 | 74 | 72 | 71 | 71 | 72 | 71 | 71 | 70 | 66 | 59 | 1 | 66 | 29 | 1,800,000$/3yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 69 | 71 | 69 | 76 | 71 | 71 | 72 | 73 | 72 | 69 | 71 | 79 | 70 | 1 | 67 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Paul Maurice | 83 | 85 | 89 | 81 | 86 | 93 | 1 | CAN | 56 | 4 | 1,000,000$ |
General Manager | Maxime Barrette |
---|
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 | Josh Bailey | ![]() | 0 | LW/RW | 6 | 1 | 6 | 7 | -1 | 0 | 0 | 8 | 10 | 5 | 9 | 10.00% | 5 | 23.17 | 0 | 3 | 3 | 0 | 0 | 0 | 19 | 0 | 0 | 42.77% | 0 | 0 | 1.17 | 1 | 2 | 0.91 | ||
2 | Brock McGinn | ![]() | 0 | LW/RW | 6 | 3 | 2 | 5 | -1 | 4 | 0 | 14 | 29 | 3 | 10 | 10.34% | 4 | 22.85 | 0 | 2 | 2 | 0 | 0 | 0 | 17 | 0 | 0 | 53.33% | 0 | 0 | 0.83 | 2 | 2 | 0.88 | ||
3 | Nicklas Backstrom | ![]() | 0 | C | 6 | 3 | 1 | 4 | -5 | 0 | 0 | 9 | 19 | 5 | 10 | 15.79% | 3 | 17.39 | 2 | 1 | 3 | 0 | 0 | 0 | 3 | 0 | 0 | 54.05% | 0 | 0 | 0.67 | 0 | 0 | 0.51 | ||
4 | Caleb Jones | ![]() | 0 | D | 6 | 1 | 3 | 4 | -3 | 16 | 10 | 12 | 8 | 4 | 4 | 12.50% | 11 | 26.36 | 1 | 1 | 2 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0.67 | 1 | 1 | 0.04 | ||
5 | Robert Bortuzzo | ![]() | 0 | D | 6 | 2 | 2 | 4 | -3 | 10 | 0 | 10 | 13 | 3 | 2 | 15.38% | 11 | 24.61 | 0 | 1 | 1 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0.67 | 0 | 0 | 0.28 | ||
6 | Sonny Milano | ![]() | 0 | LW/RW | 6 | 0 | 4 | 4 | -1 | 2 | 0 | 8 | 21 | 6 | 18 | 0.00% | 5 | 20.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54.55% | 0 | 0 | 0.67 | 0 | 2 | 0.73 | ||
7 | Josh Archibald | ![]() | 0 | LW/RW | 6 | 2 | 1 | 3 | 0 | 2 | 0 | 6 | 11 | 3 | 6 | 18.18% | 0 | 12.16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.49 | ||
8 | Ondrej Kase | ![]() | 0 | RW | 6 | 0 | 3 | 3 | 0 | 4 | 0 | 3 | 7 | 2 | 3 | 0.00% | 1 | 10.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.50 | 0 | 0 | 0.32 | ||
9 | Jakub Voracek | ![]() | 0 | LW/RW | 6 | 1 | 1 | 2 | -5 | 8 | 0 | 5 | 13 | 3 | 7 | 7.69% | 1 | 16.81 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 1 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | -0.08 | ||
10 | Filip Zadina | ![]() | 0 | LW/RW | 6 | 2 | 0 | 2 | -2 | 0 | 0 | 3 | 14 | 2 | 2 | 14.29% | 1 | 10.02 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.33 | ||
11 | Rasmus Asplund | ![]() | 0 | C/LW | 6 | 0 | 2 | 2 | -1 | 0 | 0 | 1 | 7 | 5 | 6 | 0.00% | 0 | 8.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38.10% | 0 | 0 | 0.33 | 0 | 0 | 0.27 | ||
12 | Rasmus Kupari | ![]() | 0 | C/LW/RW | 6 | 0 | 2 | 2 | 0 | 0 | 0 | 7 | 14 | 2 | 7 | 0.00% | 2 | 15.12 | 0 | 1 | 1 | 0 | 0 | 0 | 13 | 0 | 0 | 45.71% | 0 | 0 | 0.33 | 0 | 0 | 0.42 | ||
13 | Milan Lucic | ![]() | 0 | LW/RW | 6 | 0 | 1 | 1 | -4 | 12 | 10 | 9 | 14 | 3 | 5 | 0.00% | 3 | 16.85 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 100.00% | 0 | 0 | 0.17 | 0 | 0 | -0.22 | ||
14 | Nicolas Meloche | ![]() | 0 | D | 6 | 0 | 1 | 1 | -1 | 2 | 0 | 1 | 3 | 0 | 1 | 0.00% | 4 | 13.16 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.04 | ||
15 | Kyle Burroughs | ![]() | 0 | D | 6 | 1 | 0 | 1 | -3 | 12 | 10 | 6 | 4 | 1 | 3 | 25.00% | 6 | 19.63 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | -0.29 | ||
16 | Will Butcher | ![]() | 0 | D | 6 | 0 | 0 | 0 | -1 | 7 | 5 | 0 | 7 | 2 | 1 | 0.00% | 6 | 15.10 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.15 | ||
17 | Dylan Coghlan | ![]() | 0 | D | 6 | 0 | 0 | 0 | -3 | 0 | 0 | 6 | 2 | 1 | 2 | 0.00% | 12 | 18.51 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.04 | ||
18 | Simon Holmstrom | ![]() | 0 | RW | 6 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 1 | 0 | 1 | 0.00% | 2 | 7.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.02 | ||
Team Total or Average | 108 | 16 | 29 | 45 | -35 | 79 | 35 | 111 | 197 | 50 | 97 | 8.12% | 77 | 16.60 | 5 | 9 | 14 | 117 | 0 | 0 | 0 | 149 | 1 | 2 | 46.60% | 382 | 36 | 47 | 0 | 0 | 0.50 | 4 | 7 |
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 | Mike Smith | ![]() | 2 | 0 | 2 | 0 | 0.891 | 3.53 | 119 | 0 | 0 | 7 | 64 | 35 | 0 | 1 | 0.000 | 0 | 2 | 4 | 0 | 0 | 0 |
Team Total or Average | 2 | 0 | 2 | 0 | 0.891 | 3.53 | 119 | 0 | 0 | 7 | 64 | 35 | 0 | 1 | 0.000 | 0 | 2 | 4 | 0 | 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 |
# | 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 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 15 | 23 | 1 | 0 | 3 | 2 | 3 | 0 | 70 | 29 | 28 | 13 | 0 | 65 | 20 | 32 | 37 | 6 | 3 | 50.00% | 11 | 2 | 81.82% | 0 | 71 | 151 | 47.02% | 62 | 132 | 46.97% | 45 | 89 | 50.56% | 38 | 21 | 46 | 19 | 35 | 15 | 45.5% | 11.4% | 87.7% | 99.1 | FUN |
2 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 1 | 1 | 2 | 34 | 18 | 12 | 3 | 4 | 43 | 22 | 5 | 13 | 4 | 1 | 25.00% | 0 | 0 | 0.00% | 0 | 71 | 151 | 47.02% | 62 | 132 | 46.97% | 45 | 89 | 50.56% | 22 | 12 | 22 | 9 | 19 | 10 | 50.0% | 11.8% | 93.0% | 104.8 | LUCKY |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 36 | 6 | 13 | 17 | 0 | 38 | 12 | 12 | 20 | 0 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 71 | 151 | 47.02% | 62 | 132 | 46.97% | 45 | 89 | 50.56% | 18 | 9 | 22 | 9 | 18 | 8 | 37.5% | 8.3% | 86.8% | 95.2 | Unlucky |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 6 | 4 | 11 | 0 | 30 | 8 | 14 | 17 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 71 | 151 | 47.02% | 62 | 132 | 46.97% | 45 | 89 | 50.56% | 20 | 10 | 20 | 8 | 18 | 10 | 0.0% | 0.0% | 90.0% | 90.0 | Unlucky |
5 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 0 | 2 | 36 | 7 | 13 | 12 | 8 | 33 | 15 | 16 | 24 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 71 | 151 | 47.02% | 62 | 132 | 46.97% | 45 | 89 | 50.56% | 21 | 11 | 24 | 10 | 19 | 9 | 50.0% | 8.3% | 93.9% | 102.3 | DULL |
_Vs Division | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 36 | 6 | 13 | 17 | 0 | 38 | 12 | 12 | 20 | 0 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 71 | 151 | 47.02% | 62 | 132 | 46.97% | 45 | 89 | 50.56% | 18 | 9 | 22 | 9 | 18 | 8 | 37.5% | 8.3% | 86.8% | 95.2 | Unlucky | |
_Vs Conference | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 16 | -5 | 2 | 0.250 | 11 | 20 | 31 | 1 | 0 | 4 | 3 | 4 | 0 | 127 | 41 | 45 | 41 | 0 | 133 | 40 | 58 | 74 | 10 | 3 | 30.00% | 19 | 3 | 84.21% | 0 | 71 | 151 | 47.02% | 62 | 132 | 46.97% | 45 | 89 | 50.56% | 78 | 41 | 89 | 37 | 72 | 34 | 38.1% | 8.7% | 88.0% | 96.6 | Unlucky | |
_Since Last GM Reset | 6 | 1 | 3 | 0 | 0 | 0 | 2 | 0 | 18 | 21 | -3 | 6 | 0.500 | 18 | 29 | 47 | 1 | 0 | 5 | 6 | 5 | 4 | 197 | 66 | 70 | 56 | 12 | 209 | 77 | 79 | 111 | 16 | 5 | 31.25% | 22 | 3 | 86.36% | 0 | 71 | 151 | 47.02% | 62 | 132 | 46.97% | 45 | 89 | 50.56% | 122 | 65 | 135 | 57 | 111 | 53 | 41.9% | 9.1% | 90.0% | 99.1 | FUN | |
Total | 6 | 1 | 3 | 0 | 0 | 0 | 2 | 0 | 18 | 21 | -3 | 6 | 0.500 | 18 | 29 | 47 | 1 | 0 | 5 | 6 | 5 | 4 | 197 | 66 | 70 | 56 | 12 | 209 | 77 | 79 | 111 | 16 | 5 | 31.25% | 22 | 3 | 86.36% | 0 | 71 | 151 | 47.02% | 62 | 132 | 46.97% | 45 | 89 | 50.56% | 122 | 65 | 135 | 57 | 111 | 53 | 41.9% | 9.1% | 90.0% | 99.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 18 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 151 |
Neutral Zone Start | 89 |
Defensive Zone Start | 132 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 32 |
Faceoffs | |
---|---|
Faceoffs Won | 178 |
Faceoffs Lost | 194 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.0 | 9.57 |
2nd Period | 22.7 | 20.31 |
3rd Period | 32.0 | 30.68 |
Overtime | 34.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 12 |
---|---|
PP Goal | 5 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 3 | 0 |
Lost | 2 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 16 |
---|---|
PP Goal | 5 |
PK Attempt | 22 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 32.8 |
Shots Against | 34.8 |
Goals For | 3.0 |
Goals Against | 3.5 |
Hits | 18.5 |
Shots Blocked | 12.8 |
Pim | 13.2 |
![]() | |
Projected Total Cap Hit | 68,700,000$ |
Projected Cap Space | 14,800,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 6,082,804$ |
Players In Salary Cap | 23 |
Contracts | 54/50 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brock McGinn ![]() | LW/RW | 29 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Caleb Jones ![]() | D | 26 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
Carl Hagelin ![]() | LW | 34 | 1,415,000$ | 1,415,000$ | 1,415,000$ | 1,415,000$ | 1,415,000$ | UFA | |||
Chris Driedger ![]() | G | 29 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | ||||
Christian Wolanin ![]() | D | 28 | 1,600,000$ | 1,600,000$ | 1,600,000$ | UFA | |||||
Dylan Coghlan ![]() | D | 25 | 1,120,000$ | 1,120,000$ | ![]() | ||||||
Filip Zadina ![]() | LW/RW | 23 | 2,250,000$ | 2,250,000$ | RFA | ||||||
Jakub Voracek ![]() | LW/RW | 33 | 7,500,000$ | 7,500,000$ | UFA | ||||||
Josh Archibald ![]() | LW/RW | 30 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | ||||
Josh Bailey ![]() | LW/RW | 33 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Kyle Burroughs ![]() | D | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Mike Smith ![]() | G | 41 | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | |||||
Milan Lucic ![]() | LW/RW | 35 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Nicklas Backstrom ![]() | C | 35 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||||
Nicolas Meloche ![]() | D | 25 | 1,415,000$ | 1,415,000$ | 1,415,000$ | 1,415,000$ | 1,415,000$ | UFA | |||
Ondrej Kase ![]() | RW | 27 | 2,050,000$ | 2,050,000$ | 2,050,000$ | UFA | |||||
Rasmus Asplund ![]() | C/LW | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Rasmus Kupari ![]() | C/LW/RW | 23 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | ![]() | |||
Robert Bortuzzo ![]() | D | 34 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Rocco Grimaldi ![]() | RW | 30 | 1,800,000$ | 1,800,000$ | UFA | ||||||
Simon Holmstrom ![]() | RW | 22 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | ![]() | |||
Sonny Milano ![]() | LW/RW | 27 | 2,800,000$ | 2,800,000$ | UFA | ||||||
Will Butcher ![]() | D | 28 | 2,000,000$ | 2,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Nylander ![]() | C/LW/RW | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Brandon Gignac ![]() | LW | 25 | 975,000$ | 975,000$ | 975,000$ | ![]() | |||||
Brendan Warren ![]() | LW | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
Brent Gates Jr. ![]() | C | 25 | 975,000$ | 975,000$ | 975,000$ | ![]() | |||||
Cameron Hillis ![]() | C | 23 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | ![]() | ||||
Cedric Lacroix ![]() | LW | 28 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | ||||
Cole Cassels ![]() | C | 28 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
David Farrance ![]() | D | 24 | 975,000$ | 975,000$ | 975,000$ | ![]() | |||||
Dennis Hildeby ![]() | G | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 975,000$ | ![]() | |||
Dmitry Osipov ![]() | RW | 26 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | ||||
Grigori Denisenko ![]() | LW/RW | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ![]() | ||||
Hayden Hodgson ![]() | RW | 27 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | ||||
Henri Nikkanen ![]() | C | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Hugo Alnefelt ![]() | G | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Hunter Jones ![]() | G | 22 | 800,000$ | 800,000$ | RFA | ||||||
Jack Dougherty ![]() | D | 27 | 1,300,000$ | 1,300,000$ | UFA | ||||||
Jackson Cates ![]() | C | 25 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | ||||
Jakub Galvas ![]() | D | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||
John Moore ![]() | D | 32 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Jordy Bellerive ![]() | C | 24 | 975,000$ | 975,000$ | 975,000$ | ![]() | |||||
Kody Clark ![]() | RW | 23 | 1,250,000$ | 1,250,000$ | 1,250,000$ | ![]() | |||||
Libor Hajek ![]() | D | 25 | 2,000,000$ | 2,000,000$ | ![]() | ||||||
Matt Coronato ![]() | RW | 20 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Matthew Strome ![]() | LW | 24 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | ![]() | ||||
Mitchell Vande Sompel ![]() | D | 26 | 1,415,000$ | 1,415,000$ | 1,415,000$ | 1,415,000$ | 1,415,000$ | UFA | |||
Ryan Schmelzer ![]() | C | 29 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Seth Barton ![]() | D | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||
Seth Helgeson ![]() | D | 32 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Steven Fogarty ![]() | C/RW | 30 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Taro Hirose ![]() | LW | 27 | 750,000$ | 750,000$ | UFA | ||||||
Tyler Madden ![]() | C | 23 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | ![]() |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 15 | 23 | 1 | 0 | 3 | 2 | 3 | 0 | 70 | 29 | 28 | 13 | 0 | 65 | 20 | 32 | 37 | 6 | 3 | 50.00% | 11 | 2 | 81.82% | 0 | 71 | 151 | 47.02% | 62 | 132 | 46.97% | 45 | 89 | 50.56% | 38 | 21 | 46 | 19 | 35 | 15 | 45.5% | 11.4% | 87.7% | 99.1 | FUN |
2 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 1 | 1 | 2 | 34 | 18 | 12 | 3 | 4 | 43 | 22 | 5 | 13 | 4 | 1 | 25.00% | 0 | 0 | 0.00% | 0 | 71 | 151 | 47.02% | 62 | 132 | 46.97% | 45 | 89 | 50.56% | 22 | 12 | 22 | 9 | 19 | 10 | 50.0% | 11.8% | 93.0% | 104.8 | LUCKY |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 36 | 6 | 13 | 17 | 0 | 38 | 12 | 12 | 20 | 0 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 71 | 151 | 47.02% | 62 | 132 | 46.97% | 45 | 89 | 50.56% | 18 | 9 | 22 | 9 | 18 | 8 | 37.5% | 8.3% | 86.8% | 95.2 | Unlucky |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 6 | 4 | 11 | 0 | 30 | 8 | 14 | 17 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 71 | 151 | 47.02% | 62 | 132 | 46.97% | 45 | 89 | 50.56% | 20 | 10 | 20 | 8 | 18 | 10 | 0.0% | 0.0% | 90.0% | 90.0 | Unlucky |
5 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 0 | 2 | 36 | 7 | 13 | 12 | 8 | 33 | 15 | 16 | 24 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 71 | 151 | 47.02% | 62 | 132 | 46.97% | 45 | 89 | 50.56% | 21 | 11 | 24 | 10 | 19 | 9 | 50.0% | 8.3% | 93.9% | 102.3 | DULL |
_Vs Division | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 36 | 6 | 13 | 17 | 0 | 38 | 12 | 12 | 20 | 0 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 71 | 151 | 47.02% | 62 | 132 | 46.97% | 45 | 89 | 50.56% | 18 | 9 | 22 | 9 | 18 | 8 | 37.5% | 8.3% | 86.8% | 95.2 | Unlucky | |
_Vs Conference | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 16 | -5 | 2 | 0.250 | 11 | 20 | 31 | 1 | 0 | 4 | 3 | 4 | 0 | 127 | 41 | 45 | 41 | 0 | 133 | 40 | 58 | 74 | 10 | 3 | 30.00% | 19 | 3 | 84.21% | 0 | 71 | 151 | 47.02% | 62 | 132 | 46.97% | 45 | 89 | 50.56% | 78 | 41 | 89 | 37 | 72 | 34 | 38.1% | 8.7% | 88.0% | 96.6 | Unlucky | |
_Since Last GM Reset | 6 | 1 | 3 | 0 | 0 | 0 | 2 | 0 | 18 | 21 | -3 | 6 | 0.500 | 18 | 29 | 47 | 1 | 0 | 5 | 6 | 5 | 4 | 197 | 66 | 70 | 56 | 12 | 209 | 77 | 79 | 111 | 16 | 5 | 31.25% | 22 | 3 | 86.36% | 0 | 71 | 151 | 47.02% | 62 | 132 | 46.97% | 45 | 89 | 50.56% | 122 | 65 | 135 | 57 | 111 | 53 | 41.9% | 9.1% | 90.0% | 99.1 | FUN | |
Total | 6 | 1 | 3 | 0 | 0 | 0 | 2 | 0 | 18 | 21 | -3 | 6 | 0.500 | 18 | 29 | 47 | 1 | 0 | 5 | 6 | 5 | 4 | 197 | 66 | 70 | 56 | 12 | 209 | 77 | 79 | 111 | 16 | 5 | 31.25% | 22 | 3 | 86.36% | 0 | 71 | 151 | 47.02% | 62 | 132 | 46.97% | 45 | 89 | 50.56% | 122 | 65 | 135 | 57 | 111 | 53 | 41.9% | 9.1% | 90.0% | 99.1 | FUN |
Puck Time | |
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Offensive Zone | 20 |
Neutral Zone | 18 |
Defensive Zone | 22 |
Puck Time | |
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Offensive Zone Start | 151 |
Neutral Zone Start | 89 |
Defensive Zone Start | 132 |
Puck Time | |
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With Puck | 29 |
Without Puck | 32 |
Faceoffs | |
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Faceoffs Won | 178 |
Faceoffs Lost | 194 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.0 | 9.57 |
2nd Period | 22.7 | 20.31 |
3rd Period | 32.0 | 30.68 |
Overtime | 34.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 12 |
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PP Goal | 5 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
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Win | 3 | 0 |
Lost | 2 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 16 |
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PP Goal | 5 |
PK Attempt | 22 |
PK Goal Against | 3 |
Home | |
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Shots For | 32.8 |
Shots Against | 34.8 |
Goals For | 3.0 |
Goals Against | 3.5 |
Hits | 18.5 |
Shots Blocked | 12.8 |
Pim | 13.2 |
Date | Matchup | Result | Detail | |||||||||||
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Thu, Sep 14 | ![]() | @ | ![]() | BUF3,NYI5 | RECAP | |||||||||
Sun, Sep 17 | ![]() | @ | ![]() | PHO2,NYI3 (SO) | RECAP | |||||||||
Wed, Sep 20 | ![]() | @ | ![]() | NJD5,NYI3 | RECAP | |||||||||
Thu, Sep 21 | ![]() | @ | ![]() | NYI3,BUF5 | RECAP | |||||||||
Sun, Sep 24 | ![]() | @ | ![]() | COL3,NYI4 (SO) | RECAP | |||||||||
Tue, Sep 26 | ![]() | @ | ![]() | OTT3,NYI0 | RECAP | |||||||||
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Sun, Feb 4 | ![]() | @ | ![]() | |||||||||||
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 |
68,700,000$ | 0$ | 68,700,000$ | 14,800,000$ |
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 | 22449 | 18767 | 10000 | 11170 | 4727 |
Attendance PCT | 74.83% | 75.07% | 100.00% | 100.00% | 94.54% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
36 | 13423 - 82.68% | 1,271,327$ | 6,356,636$ | 16234 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
68,700,000$ | 68,700,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
6,171,357$ | 68,700,000$ | 6,082,804$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
45,767,779$ | 175 | 363,021$ | 63,528,675$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
67,580,432$ | 68,700,000$ | 47,892,442$ | 26,079,789$ |
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 |
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Andrei Loshko | ![]() | 2023 | 117 | ||
Benjamin Roger | ![]() | 2021 | 42 | ||
Blake Siebenaler | ![]() | Link | |||
Carsen Musser | ![]() | 2023 | 160 | ||
Chase Cheslock | ![]() | 2023 | 179 | ||
Chris Romaine | ![]() | 2022 | 207 | ||
Cole Hults | ![]() | Link | |||
Conner Roulette | ![]() | 2021 | 88 | ||
Dean Kukan | ![]() | Link | |||
Ethan Del Mastro | ![]() | 2021 | 132 | ||
Fedor Gordeev | ![]() | 2017 | 177 | ||
Hugo Gabrielson | ![]() | 2021 | 207 | ||
Jack Kopacka | ![]() | Link | |||
Jake Chiasson | ![]() | 2021 | 114 | ||
Linus Soderstrom | ![]() | 2014 | 82 | ||
Marek Alscher | ![]() | 2022 | 114 | ||
Matthew Andonovski | ![]() | 2023 | 171 | ||
Matthew Morden | ![]() | 2022 | 156 | ||
Matthew Poitras | ![]() | 2022 | 60 | ||
Maxim Barbashev | ![]() | 2022 | 139 | ||
Radovan Bondra | ![]() | 2015 | 117 | ||
Ryan Hofer | ![]() | 2022 | 211 | ||
Samuel Savoie | ![]() | 2022 | 75 | ||
Seamus Casey | ![]() | 2022 | 43 | ||
Stephen Halliday | ![]() | 2022 | 113 | ||
Todd Burgess | ![]() | 2016 | 96 | ||
Topi Ronni | ![]() | 2022 | 71 | ||
Tyler Tullio | ![]() | 2020 | 122 | ||
Tyler Wall | ![]() | 2016 | 203 | Link | |
Vinzenz Rohrer | ![]() | 2022 | 73 | ||
Yegor Naumov | ![]() | 2021 | 209 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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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 |
---|---|---|---|---|---|
Andrei Loshko | ![]() | 2023 | 117 | ||
Benjamin Roger | ![]() | 2021 | 42 | ||
Blake Siebenaler | ![]() | Link | |||
Carsen Musser | ![]() | 2023 | 160 | ||
Chase Cheslock | ![]() | 2023 | 179 | ||
Chris Romaine | ![]() | 2022 | 207 | ||
Cole Hults | ![]() | Link | |||
Conner Roulette | ![]() | 2021 | 88 | ||
Dean Kukan | ![]() | Link | |||
Ethan Del Mastro | ![]() | 2021 | 132 | ||
Fedor Gordeev | ![]() | 2017 | 177 | ||
Hugo Gabrielson | ![]() | 2021 | 207 | ||
Jack Kopacka | ![]() | Link | |||
Jake Chiasson | ![]() | 2021 | 114 | ||
Linus Soderstrom | ![]() | 2014 | 82 | ||
Marek Alscher | ![]() | 2022 | 114 | ||
Matthew Andonovski | ![]() | 2023 | 171 | ||
Matthew Morden | ![]() | 2022 | 156 | ||
Matthew Poitras | ![]() | 2022 | 60 | ||
Maxim Barbashev | ![]() | 2022 | 139 | ||
Radovan Bondra | ![]() | 2015 | 117 | ||
Ryan Hofer | ![]() | 2022 | 211 | ||
Samuel Savoie | ![]() | 2022 | 75 | ||
Seamus Casey | ![]() | 2022 | 43 | ||
Stephen Halliday | ![]() | 2022 | 113 | ||
Todd Burgess | ![]() | 2016 | 96 | ||
Topi Ronni | ![]() | 2022 | 71 | ||
Tyler Tullio | ![]() | 2020 | 122 | ||
Tyler Wall | ![]() | 2016 | 203 | Link | |
Vinzenz Rohrer | ![]() | 2022 | 73 | ||
Yegor Naumov | ![]() | 2021 | 209 |
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