































Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C | 100.00 | 68 | 40 | 91 | 83 | 88 | 83 | 92 | 76 | 88 | 77 | 75 | 74 | 59 | 97 | 95 | 0 | 79 | 37 | 10,000,000$/3yrs | |||||
![]() | C/RW | 100.00 | 69 | 40 | 85 | 86 | 81 | 83 | 93 | 83 | 68 | 79 | 84 | 65 | 60 | 72 | 59 | 0 | 79 | 29 | 6,962,366$/9yrs | |||||
![]() | C/LW | 100.00 | 71 | 40 | 79 | 85 | 66 | 83 | 90 | 81 | 82 | 78 | 83 | 71 | 71 | 72 | 67 | 0 | 78 | 27 | 8,454,000$/9yrs | |||||
![]() | C/LW/RW | 100.00 | 75 | 47 | 75 | 76 | 82 | 83 | 92 | 78 | 55 | 71 | 90 | 68 | 54 | 71 | 65 | 0 | 78 | 32 | 5,500,000$/5yrs | |||||
![]() | C/LW/RW | 100.00 | 69 | 40 | 83 | 77 | 74 | 83 | 92 | 75 | 89 | 76 | 74 | 71 | 64 | 91 | 96 | 0 | 76 | 37 | 6,500,000$/2yrs | |||||
![]() | C/LW/RW | 100.00 | 69 | 40 | 87 | 74 | 81 | 76 | 92 | 73 | 60 | 69 | 80 | 67 | 61 | 79 | 66 | 0 | 74 | 33 | 4,250,000$/5yrs | |||||
![]() | C/RW | 100.00 | 71 | 40 | 78 | 84 | 71 | 78 | 92 | 72 | 58 | 72 | 75 | 63 | 68 | 64 | 59 | 0 | 73 | 26 | 3,000,000$/3yrs | |||||
![]() | C | 100.00 | 81 | 40 | 78 | 71 | 84 | 73 | 93 | 63 | 90 | 67 | 66 | 80 | 54 | 93 | 89 | 0 | 72 | 36 | 2,900,000$/4yrs | |||||
![]() | C/LW | 100.00 | 72 | 47 | 73 | 66 | 76 | 76 | 91 | 66 | 82 | 68 | 69 | 77 | 57 | 75 | 64 | 0 | 71 | 34 | 3,150,000$/3yrs | |||||
![]() | C/LW | 100.00 | 69 | 40 | 87 | 77 | 80 | 74 | 90 | 65 | 56 | 67 | 67 | 71 | 55 | 82 | 67 | 0 | 71 | 34 | 2,000,000$/2yrs | |||||
![]() | C | 100.00 | 75 | 57 | 83 | 67 | 71 | 70 | 84 | 63 | 80 | 68 | 62 | 78 | 68 | 64 | 59 | 0 | 68 | 30 | 1,900,000$/1yrs | |||||
![]() | LW/RW | 100.00 | 87 | 72 | 82 | 68 | 72 | 67 | 86 | 61 | 53 | 65 | 64 | 79 | 54 | 58 | 58 | 0 | 68 | 29 | 775,000$/3yrs | |||||
![]() | D | 100.00 | 77 | 40 | 83 | 88 | 75 | 96 | 89 | 73 | 40 | 81 | 64 | 83 | 57 | 67 | 66 | 0 | 78 | 25 | 8,450,000$/6yrs | |||||
![]() | D | 100.00 | 67 | 40 | 75 | 92 | 92 | 95 | 91 | 75 | 40 | 80 | 65 | 75 | 69 | 87 | 71 | 0 | 78 | 34 | 7,875,000$/2yrs | |||||
![]() | D | 100.00 | 77 | 57 | 76 | 75 | 77 | 90 | 94 | 65 | 40 | 72 | 61 | 87 | 54 | 61 | 58 | 0 | 74 | 24 | 863,333$/1yrs | |||||
![]() | D | 100.00 | 67 | 65 | 76 | 75 | 81 | 78 | 84 | 58 | 40 | 65 | 59 | 85 | 54 | 90 | 93 | 0 | 72 | 41 | 800,000$/1yrs | |||||
![]() | D | 100.00 | 75 | 40 | 83 | 71 | 81 | 78 | 83 | 58 | 40 | 65 | 58 | 86 | 54 | 61 | 58 | 0 | 70 | 27 | 2,750,000$/3yrs | |||||
![]() | D | 100.00 | 68 | 48 | 75 | 70 | 67 | 80 | 83 | 59 | 40 | 65 | 59 | 89 | 54 | 60 | 58 | 0 | 70 | 28 | 2,500,000$/4yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | D | 100.00 | 64 | 40 | 85 | 63 | 76 | 77 | 72 | 56 | 40 | 64 | 56 | 86 | 54 | 57 | 58 | 0 | 67 | 26 | 850,000$/4yrs | |||||
TEAM AVERAGE | 100.00 | 72 | 46 | 81 | 76 | 78 | 80 | 89 | 68 | 60 | 71 | 69 | 77 | 59 | 74 | 69 | 0 | 73 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 89 | 97 | 98 | 87 | 81 | 70 | 93 | 95 | 94 | 81 | 78 | 80 | 66 | 0 | 88 | 32 | 6,166,666$/8yrs | |
![]() | 33 | 100.00 | 82 | 76 | 77 | 80 | 79 | 73 | 83 | 74 | 84 | 72 | 82 | 58 | 56 | 0 | 78 | 25 | 2,000,000$/4yrs | |
Scratches | ||||||||||||||||||||
![]() | 30 | 100.00 | 72 | 67 | 69 | 80 | 82 | 75 | 79 | 74 | 79 | 73 | 84 | 57 | 55 | 0 | 74 | 25 | 890,000$/2yrs | |
TEAM AVERAGE | 100.00 | 81 | 80 | 81 | 82 | 81 | 73 | 85 | 81 | 86 | 75 | 81 | 65 | 59 | 0 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
D.J. Smith | 82 | 82 | 79 | 76 | 60 | 58 | 1 | CAN | 46 | 2 | 1,000,000$ |
General Manager | Pascal Dumont |
---|
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 | Sebastian Aho | ![]() | 0 | C/LW | 4 | 4 | 1 | 5 | -1 | 2 | 0 | 4 | 14 | 4 | 9 | 28.57% | 1 | 23.05 | 1 | 1 | 2 | 0 | 0 | 0 | 9 | 0 | 0 | 62.50% | 0 | 0 | 1.25 | 0 | 0 | 1.09 | ||
2 | Anze Kopitar | ![]() | 11 | C | 4 | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 18 | 2 | 8 | 5.56% | 1 | 22.98 | 0 | 1 | 1 | 0 | 0 | 0 | 9 | 0 | 0 | 52.21% | 0 | 0 | 1.00 | 0 | 0 | 1.05 | ||
3 | Miro Heiskanen | ![]() | 4 | D | 4 | 1 | 1 | 2 | -7 | 6 | 0 | 10 | 10 | 0 | 8 | 10.00% | 6 | 25.39 | 1 | 1 | 2 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | -0.19 | ||
4 | Mark Giordano | ![]() | 9 | D | 4 | 0 | 2 | 2 | 0 | 2 | 0 | 5 | 4 | 2 | 5 | 0.00% | 4 | 21.38 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.41 | ||
5 | Jordan Staal | ![]() | 12 | C | 4 | 0 | 1 | 1 | 0 | 2 | 0 | 9 | 7 | 1 | 3 | 0.00% | 0 | 15.80 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 63.33% | 0 | 0 | 0.25 | 0 | 0 | 0.30 | ||
6 | Moritz Seider | ![]() | 53 | D | 4 | 0 | 1 | 1 | -3 | 6 | 0 | 7 | 1 | 4 | 3 | 0.00% | 7 | 23.36 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | -0.17 | ||
7 | Claude Giroux | ![]() | 28 | C/LW/RW | 4 | 0 | 1 | 1 | -3 | 2 | 0 | 3 | 20 | 3 | 10 | 0.00% | 0 | 18.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58.24% | 0 | 0 | 0.25 | 0 | 0 | 0.24 | ||
8 | Zach Hyman | ![]() | 18 | C/LW/RW | 4 | 1 | 0 | 1 | -3 | 0 | 0 | 11 | 18 | 6 | 7 | 5.56% | 0 | 18.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.44% | 0 | 0 | 0.25 | 0 | 0 | 0.40 | ||
9 | Martin Necas | ![]() | 87 | C/RW | 4 | 1 | 0 | 1 | -3 | 2 | 0 | 3 | 9 | 0 | 4 | 11.11% | 2 | 15.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 0 | 0 | 0.25 | 0 | 0 | 0.05 | ||
10 | Alexandre Carrier | ![]() | 45 | D | 4 | 0 | 1 | 1 | 0 | 2 | 0 | 1 | 4 | 3 | 2 | 0.00% | 5 | 13.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.24 | ||
11 | William Nylander | ![]() | 86 | C/RW | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 10 | 14 | 4 | 9 | 0.00% | 0 | 20.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 72.73% | 0 | 0 | 0.25 | 0 | 0 | 0.57 | ||
12 | Victor Hedman | ![]() | 77 | D | 4 | 1 | 0 | 1 | -4 | 6 | 0 | 10 | 8 | 1 | 1 | 12.50% | 6 | 23.58 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | -0.14 | ||
13 | Tyler Toffoli | ![]() | 73 | C/LW/RW | 4 | 0 | 1 | 1 | -1 | 2 | 0 | 0 | 10 | 7 | 10 | 0.00% | 0 | 15.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.25 | 0 | 0 | 0.28 | ||
14 | Erik Haula | ![]() | 0 | C/LW | 4 | 0 | 0 | 0 | -3 | 0 | 0 | 1 | 2 | 0 | 1 | 0.00% | 0 | 4.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.22 | ||
15 | Andrew Peeke | ![]() | 2 | D | 4 | 0 | 0 | 0 | 0 | 4 | 0 | 2 | 2 | 1 | 2 | 0.00% | 5 | 15.67 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.05 | ||
16 | Teddy Blueger | ![]() | 15 | C | 4 | 0 | 0 | 0 | -3 | 0 | 0 | 1 | 1 | 0 | 2 | 0.00% | 0 | 4.72 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 52.38% | 0 | 0 | 0.00 | 0 | 0 | -0.24 | ||
17 | Marcus Johansson | ![]() | 0 | C/LW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 6 | 0.00% | 2 | 11.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.11 | ||
18 | Cole Smith | ![]() | 39 | LW/RW | 4 | 0 | 0 | 0 | -4 | 0 | 0 | 3 | 4 | 2 | 3 | 0.00% | 0 | 8.39 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.24 | ||
Team Total or Average | 72 | 9 | 13 | 22 | -35 | 36 | 0 | 80 | 149 | 40 | 93 | 6.04% | 39 | 16.77 | 2 | 3 | 5 | 90 | 0 | 0 | 0 | 115 | 0 | 0 | 56.18% | 356 | 0 | 0 | 0 | 0 | 0.36 | 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 | Connor Hellebuyck | ![]() | 4 | 0 | 2 | 2 | 0.862 | 3.89 | 247 | 0 | 0 | 16 | 116 | 0 | 1 | 0 | 0.000 | 0 | 4 | 0 | 0 | 0 | 0 |
Team Total or Average | 4 | 0 | 2 | 2 | 0.862 | 3.89 | 247 | 0 | 0 | 16 | 116 | 0 | 1 | 0 | 0.000 | 0 | 4 | 0 | 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 | ![]() | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 16 | -7 | 0 | 0.000 | 9 | 13 | 22 | 0 | 0 | 4 | 3 | 2 | 0 | 149 | 44 | 53 | 47 | 5 | 116 | 39 | 36 | 80 | 11 | 2 | 18.18% | 18 | 2 | 88.89% | 0 | 95 | 154 | 61.69% | 74 | 141 | 52.48% | 31 | 61 | 50.82% | 95 | 65 | 98 | 32 | 53 | 24 | 33.3% | 6.0% | 86.2% | 92.2 | Unlucky |
_Vs Division | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 16 | -7 | 0 | 0.000 | 9 | 13 | 22 | 0 | 0 | 4 | 3 | 2 | 0 | 149 | 44 | 53 | 47 | 5 | 116 | 39 | 36 | 80 | 11 | 2 | 18.18% | 18 | 2 | 88.89% | 0 | 95 | 154 | 61.69% | 74 | 141 | 52.48% | 31 | 61 | 50.82% | 95 | 65 | 98 | 32 | 53 | 24 | 33.3% | 6.0% | 86.2% | 92.2 | Unlucky | |
_Vs Conference | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 16 | -7 | 0 | 0.000 | 9 | 13 | 22 | 0 | 0 | 4 | 3 | 2 | 0 | 149 | 44 | 53 | 47 | 5 | 116 | 39 | 36 | 80 | 11 | 2 | 18.18% | 18 | 2 | 88.89% | 0 | 95 | 154 | 61.69% | 74 | 141 | 52.48% | 31 | 61 | 50.82% | 95 | 65 | 98 | 32 | 53 | 24 | 33.3% | 6.0% | 86.2% | 92.2 | Unlucky | |
_Since Last GM Reset | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 16 | -7 | 0 | 0.000 | 9 | 13 | 22 | 0 | 0 | 4 | 3 | 2 | 0 | 149 | 44 | 53 | 47 | 5 | 116 | 39 | 36 | 80 | 11 | 2 | 18.18% | 18 | 2 | 88.89% | 0 | 95 | 154 | 61.69% | 74 | 141 | 52.48% | 31 | 61 | 50.82% | 95 | 65 | 98 | 32 | 53 | 24 | 33.3% | 6.0% | 86.2% | 92.2 | Unlucky | |
Total | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 16 | -7 | 0 | 0.000 | 9 | 13 | 22 | 0 | 0 | 4 | 3 | 2 | 0 | 149 | 44 | 53 | 47 | 5 | 116 | 39 | 36 | 80 | 11 | 2 | 18.18% | 18 | 2 | 88.89% | 0 | 95 | 154 | 61.69% | 74 | 141 | 52.48% | 31 | 61 | 50.82% | 95 | 65 | 98 | 32 | 53 | 24 | 33.3% | 6.0% | 86.2% | 92.2 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 154 |
Neutral Zone Start | 61 |
Defensive Zone Start | 141 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 200 |
Faceoffs Lost | 156 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.0 | 9.57 |
2nd Period | 24.3 | 20.31 |
3rd Period | 36.0 | 30.68 |
Overtime | 37.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.3 | 2.83 |
Even Strenght Goal | 7 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 11 |
---|---|
PP Goal | 2 |
PK Attempt | 18 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 37.3 |
Shots Against | 29.0 |
Goals For | 2.3 |
Goals Against | 4.0 |
Hits | 20.0 |
Shots Blocked | 9.8 |
Pim | 9.0 |
![]() | |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 89,700,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 22 |
Contracts | 44/50 |
LTIR Players | 0 |
Rangers Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexandre Carrier ![]() | D | 28 | 2,500,000$ | 2,500,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |||
Andrew Peeke ![]() | D | 27 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | ![]() | ||||
Anze Kopitar ![]() | C | 37 | 10,000,000$ | 10,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||||
Cayden Primeau ![]() | G | 25 | 890,000$ | 890,000$ | 890,000$ | RFA | |||||
Claude Giroux ![]() | C/LW/RW | 37 | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||||
Cole Smith ![]() | LW/RW | 29 | 775,000$ | 775,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Connor Hellebuyck ![]() | G | 32 | 6,166,666$ | 6,166,666$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ |
Erik Haula ![]() | C/LW | 34 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | ||||
Jordan Staal ![]() | C | 36 | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | UFA | |||
Marcus Johansson ![]() | C/LW | 34 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Mark Giordano ![]() | D | 41 | 800,000$ | 800,000$ | UFA | ||||||
Martin Necas ![]() | C/RW | 26 | 3,000,000$ | 3,000,000$ | 6,500,000$ | 6,500,000$ | ![]() | ||||
Miro Heiskanen ![]() | D | 25 | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | UFA | |
Moritz Seider ![]() | D | 24 | 863,333$ | 863,333$ | RFA | ||||||
Pyotr Kochetkov ![]() | G | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | ![]() | |||
Sebastian Aho ![]() | C/LW | 27 | 8,454,000$ | 8,454,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ |
Teddy Blueger ![]() | C | 30 | 1,900,000$ | 1,900,000$ | UFA | ||||||
Tyler Toffoli ![]() | C/LW/RW | 33 | 4,250,000$ | 4,250,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||
Urho Vaakanainen ![]() | D | 26 | 850,000$ | 850,000$ | 1,100,000$ | 1,550,000$ | 1,550,000$ | ![]() | |||
Victor Hedman ![]() | D | 34 | 7,875,000$ | 7,875,000$ | 7,875,000$ | UFA | |||||
William Nylander ![]() | C/RW | 29 | 6,962,366$ | 6,962,366$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ |
Zach Hyman ![]() | C/LW/RW | 32 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexandre Fortin ![]() | C/LW | 28 | 775,000$ | 775,000$ | ![]() | ||||||
Arnaud Durandeau ![]() | LW | 26 | 775,000$ | 775,000$ | RFA | ||||||
Brady Keeper ![]() | D | 28 | 775,000$ | 775,000$ | ![]() | ||||||
Cam Morrison ![]() | C/LW | 26 | 775,000$ | 775,000$ | RFA | ||||||
Cole Fonstad ![]() | C/LW | 25 | 775,000$ | 775,000$ | RFA | ||||||
Connor Corcoran ![]() | D | 24 | 775,000$ | 775,000$ | RFA | ||||||
Henri Nikkanen ![]() | C | 24 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Henrik Tikkanen ![]() | G | 24 | 823,750$ | 823,750$ | 823,750$ | 823,750$ | RFA | ||||
Jacob Larsson ![]() ![]() | D | 28 | 775,000$ | 775,000$ | ![]() | ||||||
Jayce Hawryluk ![]() | RW | 29 | 775,000$ | 775,000$ | ![]() | ||||||
Jerad Rosburg ![]() | D | 28 | 775,000$ | 775,000$ | ![]() | ||||||
Jeremy Groleau ![]() | D | 25 | 775,000$ | 775,000$ | RFA | ||||||
Jonny Brodzinski ![]() | C/RW | 31 | 787,500$ | 787,500$ | 787,500$ | UFA | |||||
Josiah Slavin ![]() | C/LW | 26 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Linus Karlsson ![]() | RW | 25 | 883,750$ | 883,750$ | 775,000$ | RFA | |||||
Markus Nurmi ![]() | RW | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Matt Rempe ![]() | C | 22 | 820,000$ | 820,000$ | 820,000$ | RFA | |||||
Philip Broberg ![]() | D | 23 | 863,333$ | 863,333$ | 4,580,917$ | 4,580,917$ | RFA | ||||
Santtu Kinnunen ![]() | D | 26 | 855,000$ | 855,000$ | RFA | ||||||
Taylor Gauthier ![]() | G | 24 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Thomas Greiss ![]() | G | 39 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Timur Ibragimov ![]() | C/LW | 24 | 775,000$ | 775,000$ | RFA | ||||||
Ville Petman ![]() | C/LW/RW | 25 | 883,750$ | 883,750$ | 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 | ![]() | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 16 | -7 | 0 | 0.000 | 9 | 13 | 22 | 0 | 0 | 4 | 3 | 2 | 0 | 149 | 44 | 53 | 47 | 5 | 116 | 39 | 36 | 80 | 11 | 2 | 18.18% | 18 | 2 | 88.89% | 0 | 95 | 154 | 61.69% | 74 | 141 | 52.48% | 31 | 61 | 50.82% | 95 | 65 | 98 | 32 | 53 | 24 | 33.3% | 6.0% | 86.2% | 92.2 | Unlucky |
_Vs Division | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 16 | -7 | 0 | 0.000 | 9 | 13 | 22 | 0 | 0 | 4 | 3 | 2 | 0 | 149 | 44 | 53 | 47 | 5 | 116 | 39 | 36 | 80 | 11 | 2 | 18.18% | 18 | 2 | 88.89% | 0 | 95 | 154 | 61.69% | 74 | 141 | 52.48% | 31 | 61 | 50.82% | 95 | 65 | 98 | 32 | 53 | 24 | 33.3% | 6.0% | 86.2% | 92.2 | Unlucky | |
_Vs Conference | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 16 | -7 | 0 | 0.000 | 9 | 13 | 22 | 0 | 0 | 4 | 3 | 2 | 0 | 149 | 44 | 53 | 47 | 5 | 116 | 39 | 36 | 80 | 11 | 2 | 18.18% | 18 | 2 | 88.89% | 0 | 95 | 154 | 61.69% | 74 | 141 | 52.48% | 31 | 61 | 50.82% | 95 | 65 | 98 | 32 | 53 | 24 | 33.3% | 6.0% | 86.2% | 92.2 | Unlucky | |
_Since Last GM Reset | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 16 | -7 | 0 | 0.000 | 9 | 13 | 22 | 0 | 0 | 4 | 3 | 2 | 0 | 149 | 44 | 53 | 47 | 5 | 116 | 39 | 36 | 80 | 11 | 2 | 18.18% | 18 | 2 | 88.89% | 0 | 95 | 154 | 61.69% | 74 | 141 | 52.48% | 31 | 61 | 50.82% | 95 | 65 | 98 | 32 | 53 | 24 | 33.3% | 6.0% | 86.2% | 92.2 | Unlucky | |
Total | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 16 | -7 | 0 | 0.000 | 9 | 13 | 22 | 0 | 0 | 4 | 3 | 2 | 0 | 149 | 44 | 53 | 47 | 5 | 116 | 39 | 36 | 80 | 11 | 2 | 18.18% | 18 | 2 | 88.89% | 0 | 95 | 154 | 61.69% | 74 | 141 | 52.48% | 31 | 61 | 50.82% | 95 | 65 | 98 | 32 | 53 | 24 | 33.3% | 6.0% | 86.2% | 92.2 | Unlucky |
Puck Time | |
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Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
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Offensive Zone Start | 154 |
Neutral Zone Start | 61 |
Defensive Zone Start | 141 |
Puck Time | |
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With Puck | 30 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 200 |
Faceoffs Lost | 156 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.0 | 9.57 |
2nd Period | 24.3 | 20.31 |
3rd Period | 36.0 | 30.68 |
Overtime | 37.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.3 | 2.83 |
Even Strenght Goal | 7 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 11 |
---|---|
PP Goal | 2 |
PK Attempt | 18 |
PK Goal Against | 2 |
Home | |
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Shots For | 37.3 |
Shots Against | 29.0 |
Goals For | 2.3 |
Goals Against | 4.0 |
Hits | 20.0 |
Shots Blocked | 9.8 |
Pim | 9.0 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
Sat, Apr 5 | ![]() | @ | ![]() | NYI5,NYR2 | RECAP |
Mon, Apr 7 | ![]() | @ | ![]() | NYI4,NYR3 (OT) | RECAP |
Wed, Apr 9 | ![]() | @ | ![]() | NYR3,NYI4 (OT) | RECAP |
Fri, Apr 11 | ![]() | @ | ![]() | NYR1,NYI3 | RECAP |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
88,536,365$ | 0$ | 0$ | 89,700,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Madison Square Garden | |
City | New York | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 11909 | 10000 | 3989 | 8000 | 1960 |
Attendance PCT | 99.24% | 100.00% | 99.73% | 100.00% | 98.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
39 | 17929 - 99.61% | 1,879,274$ | 3,758,547$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
88,536,365$ | 88,536,365$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 19,543,930$ | 19,543,930$ |
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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 |
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2025 | ![]() | ![]() | ||||
2026 | ![]() | ![]() | ![]() | ![]() | ||
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Daniil Orlov | ![]() | 2022 | 110 | Link | |
Dyllan Gill | ![]() | 2022 | 223 | Link | |
Eric Hjorth | ![]() | 2019 | 104 | Link | |
Kyle Jackson | ![]() | 2022 | 196 | Link | |
Ludvig Jansson | ![]() | 2022 | 125 | Link | |
Matteo Costantini | ![]() | 2020 | 131 | Link | |
Will Cranley | ![]() | 2020 | 163 | Link |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 |
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2025 | ![]() | ![]() | ||||
2026 | ![]() | ![]() | ![]() | ![]() | ||
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Daniil Orlov | ![]() | 2022 | 110 | Link | |
Dyllan Gill | ![]() | 2022 | 223 | Link | |
Eric Hjorth | ![]() | 2019 | 104 | Link | |
Kyle Jackson | ![]() | 2022 | 196 | Link | |
Ludvig Jansson | ![]() | 2022 | 125 | Link | |
Matteo Costantini | ![]() | 2020 | 131 | Link | |
Will Cranley | ![]() | 2020 | 163 | Link |
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