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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C | 99.00 | 69 | 40 | 92 | 80 | 89 | 85 | 94 | 77 | 89 | 83 | 73 | 74 | 61 | 96 | 92 | 0 | 81 | 36 | 10,000,000$/2yrs | |||||
![]() | C/LW | 100.00 | 70 | 57 | 85 | 73 | 75 | 83 | 88 | 83 | 68 | 86 | 76 | 75 | 72 | 79 | 73 | 0 | 81 | 30 | 5,125,000$/7yrs | |||||
![]() | C | 100.00 | 70 | 40 | 84 | 78 | 89 | 84 | 90 | 75 | 90 | 77 | 81 | 72 | 71 | 74 | 75 | 0 | 80 | 28 | 5,500,000$/9yrs | |||||
![]() | C/RW | 99.00 | 67 | 40 | 86 | 83 | 82 | 80 | 92 | 81 | 65 | 84 | 82 | 65 | 67 | 70 | 59 | 0 | 80 | 27 | 6,962,366$/2yrs | |||||
![]() | C/LW/RW | 99.00 | 71 | 57 | 81 | 75 | 84 | 83 | 90 | 78 | 60 | 82 | 78 | 68 | 54 | 69 | 65 | 0 | 79 | 31 | 5,500,000$/6yrs | |||||
![]() | LW | 100.00 | 84 | 58 | 60 | 72 | 82 | 81 | 77 | 73 | 56 | 77 | 80 | 66 | 56 | 81 | 60 | 0 | 78 | 32 | 5,125,000$/4yrs | |||||
![]() | C | 100.00 | 81 | 40 | 84 | 70 | 85 | 74 | 93 | 65 | 89 | 73 | 69 | 78 | 54 | 92 | 86 | 0 | 76 | 35 | 6,000,000$/1yrs | |||||
![]() | C/RW | 100.00 | 69 | 40 | 82 | 78 | 71 | 78 | 92 | 73 | 69 | 81 | 72 | 68 | 56 | 62 | 59 | 0 | 76 | 24 | 3,000,000$/2yrs | |||||
![]() | C/LW/RW | 100.00 | 73 | 40 | 90 | 68 | 75 | 72 | 95 | 62 | 82 | 73 | 63 | 80 | 54 | 66 | 59 | 0 | 72 | 28 | 1,500,000$/5yrs | |||||
![]() | C/LW | 100.00 | 72 | 40 | 88 | 71 | 71 | 70 | 64 | 67 | 53 | 79 | 65 | 68 | 54 | 56 | 58 | 0 | 72 | 21 | 925,000$/2yrs | |||||
![]() | C | 100.00 | 74 | 40 | 90 | 67 | 72 | 68 | 83 | 62 | 80 | 73 | 62 | 79 | 68 | 62 | 58 | 0 | 71 | 29 | 2,200,000$/1yrs | |||||
![]() | C | 100.00 | 72 | 40 | 91 | 70 | 75 | 63 | 74 | 61 | 70 | 70 | 65 | 76 | 68 | 58 | 58 | 0 | 70 | 24 | 750,000$/2yrs | |||||
![]() | D | 100.00 | 77 | 40 | 83 | 91 | 74 | 97 | 90 | 74 | 40 | 87 | 64 | 82 | 66 | 65 | 65 | 0 | 81 | 24 | 8,450,000$/7yrs | |||||
![]() | D | 99.00 | 68 | 40 | 81 | 89 | 93 | 93 | 92 | 74 | 40 | 85 | 66 | 78 | 60 | 85 | 70 | 0 | 81 | 32 | 7,875,000$/3yrs | |||||
![]() | D | 100.00 | 77 | 40 | 80 | 83 | 75 | 91 | 88 | 68 | 40 | 80 | 60 | 89 | 54 | 58 | 58 | 0 | 78 | 22 | 863,333$/2yrs | |||||
![]() | D | 100.00 | 71 | 40 | 83 | 70 | 81 | 87 | 93 | 62 | 40 | 75 | 60 | 83 | 54 | 98 | 78 | 0 | 76 | 38 | 3,650,000$/3yrs | |||||
![]() | D | 100.00 | 77 | 48 | 83 | 65 | 78 | 86 | 88 | 58 | 40 | 69 | 60 | 91 | 54 | 59 | 58 | 0 | 74 | 25 | 787,500$/4yrs | |||||
![]() | D | 100.00 | 70 | 58 | 78 | 67 | 67 | 80 | 79 | 60 | 40 | 74 | 59 | 85 | 54 | 58 | 58 | 0 | 72 | 27 | 750,000$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.78 | 73 | 44 | 83 | 75 | 79 | 81 | 87 | 70 | 62 | 78 | 69 | 77 | 60 | 72 | 66 | 0 | 77 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 88 | 98.00 | 87 | 97 | 97 | 87 | 85 | 79 | 90 | 83 | 90 | 80 | 90 | 75 | 82 | 0 | 88 | 29 | 9,500,000$/6yrs | |
![]() | 41 | 100.00 | 79 | 68 | 70 | 71 | 89 | 74 | 80 | 68 | 86 | 72 | 81 | 83 | 65 | 0 | 77 | 38 | 1,500,000$/1yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 83 | 83 | 84 | 79 | 87 | 77 | 85 | 76 | 88 | 76 | 86 | 79 | 74 | 0 | 83 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Gerard Gallant | 87 | 89 | 87 | 88 | 92 | 88 | 1 | CAN | 60 | 1 | 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 | William Nylander | ![]() | 86 | C/RW | 31 | 14 | 14 | 28 | -4 | 15 | 5 | 32 | 85 | 21 | 59 | 16.47% | 5 | 21.44 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 3 | 1 | 52.38% | 0 | 0 | 0.90 | 0 | 1 | 0.77 | ||
2 | Miro Heiskanen | ![]() | 4 | D | 31 | 3 | 23 | 26 | 1 | 25 | 5 | 73 | 53 | 13 | 37 | 5.66% | 38 | 23.29 | 2 | 10 | 12 | 0 | 0 | 0 | 67 | 1 | 2 | 0.00% | 0 | 0 | 0.84 | 0 | 0 | 0.67 | ||
3 | Anze Kopitar | ![]() | 0 | C | 31 | 7 | 17 | 24 | -6 | 6 | 0 | 24 | 97 | 33 | 57 | 7.22% | 5 | 21.31 | 2 | 8 | 10 | 0 | 0 | 0 | 50 | 1 | 0 | 57.36% | 0 | 0 | 0.77 | 1 | 1 | 0.73 | ||
4 | Ryan Nugent-Hopkins | ![]() | 93 | C/LW | 29 | 10 | 13 | 23 | 1 | 8 | 0 | 41 | 95 | 27 | 48 | 10.53% | 5 | 20.16 | 1 | 6 | 7 | 1 | 1 | 2 | 65 | 2 | 1 | 46.85% | 0 | 0 | 0.79 | 0 | 0 | 0.81 | ||
5 | Bo Horvat | ![]() | 14 | C | 31 | 11 | 11 | 22 | 12 | 6 | 0 | 26 | 82 | 22 | 62 | 13.41% | 7 | 20.92 | 2 | 4 | 6 | 0 | 0 | 0 | 18 | 3 | 1 | 58.63% | 0 | 0 | 0.71 | 0 | 1 | 0.90 | ||
6 | Victor Hedman | ![]() | 77 | D | 31 | 7 | 14 | 21 | -9 | 18 | 0 | 37 | 68 | 16 | 39 | 10.29% | 36 | 24.46 | 4 | 3 | 7 | 0 | 0 | 0 | 57 | 3 | 0 | 0.00% | 0 | 0 | 0.68 | 0 | 0 | 0.52 | ||
7 | Moritz Seider | ![]() | 53 | D | 31 | 2 | 16 | 18 | -1 | 22 | 0 | 66 | 37 | 17 | 36 | 5.41% | 41 | 22.90 | 2 | 4 | 6 | 0 | 0 | 0 | 63 | 1 | 0 | 0.00% | 0 | 0 | 0.58 | 0 | 0 | 0.47 | ||
8 | Zach Hyman | ![]() | 18 | C/LW/RW | 31 | 6 | 10 | 16 | -3 | 13 | 5 | 31 | 69 | 23 | 58 | 8.70% | 2 | 20.08 | 1 | 3 | 4 | 0 | 0 | 0 | 26 | 0 | 0 | 41.67% | 0 | 0 | 0.52 | 0 | 0 | 0.48 | ||
9 | Evander Kane | ![]() | 92 | LW | 31 | 7 | 8 | 15 | 8 | 37 | 5 | 103 | 69 | 21 | 52 | 10.14% | 1 | 18.62 | 1 | 1 | 2 | 0 | 0 | 0 | 12 | 3 | 0 | 52.27% | 0 | 0 | 0.48 | 0 | 0 | 0.50 | ||
10 | Andrew Peeke | ![]() | 2 | D | 31 | 2 | 12 | 14 | 7 | 12 | 0 | 42 | 26 | 3 | 9 | 7.69% | 29 | 14.47 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 1 | 0 | 0.00% | 0 | 0 | 0.45 | 0 | 0 | 0.44 | ||
11 | Ryan Suter | ![]() | 0 | D | 31 | 4 | 9 | 13 | 9 | 12 | 0 | 29 | 24 | 12 | 17 | 16.67% | 36 | 21.57 | 3 | 3 | 6 | 0 | 0 | 0 | 63 | 0 | 0 | 0.00% | 0 | 0 | 0.42 | 0 | 0 | 0.47 | ||
12 | Martin Necas | ![]() | 87 | C/RW | 31 | 5 | 7 | 12 | 5 | 10 | 0 | 33 | 75 | 14 | 43 | 6.67% | 5 | 18.08 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 47.06% | 1 | 0 | 0.39 | 0 | 0 | 0.49 | ||
13 | Jordan Staal | ![]() | 0 | C | 31 | 5 | 3 | 8 | -1 | 4 | 0 | 39 | 30 | 8 | 19 | 16.67% | 5 | 15.64 | 0 | 0 | 0 | 0 | 0 | 0 | 72 | 0 | 0 | 54.02% | 0 | 0 | 0.26 | 0 | 0 | 0.27 | ||
14 | David Kampf | ![]() | 64 | C/LW/RW | 31 | 2 | 5 | 7 | -1 | 4 | 0 | 24 | 49 | 10 | 17 | 4.08% | 7 | 16.05 | 0 | 0 | 0 | 0 | 0 | 0 | 84 | 1 | 0 | 60.53% | 0 | 0 | 0.23 | 0 | 0 | 0.27 | ||
15 | Alexandre Carrier | ![]() | 45 | D | 31 | 1 | 6 | 7 | 8 | 10 | 0 | 18 | 19 | 8 | 8 | 5.26% | 20 | 13.72 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.23 | 0 | 0 | 0.27 | ||
16 | Ryan Poehling | ![]() | 25 | C | 31 | 2 | 0 | 2 | 2 | 0 | 0 | 3 | 12 | 4 | 2 | 16.67% | 0 | 2.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 60.00% | 0 | 0 | 0.06 | 0 | 0 | 0.10 | ||
17 | Cole Perfetti | ![]() | 91 | C/LW | 31 | 0 | 1 | 1 | 3 | 2 | 0 | 4 | 7 | 1 | 8 | 0.00% | 2 | 3.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.03 | 0 | 0 | 0.07 | ||
18 | Teddy Blueger | ![]() | 0 | C | 31 | 0 | 0 | 0 | 2 | 0 | 0 | 10 | 7 | 5 | 7 | 0.00% | 2 | 2.80 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 51.65% | 0 | 0 | 0.00 | 0 | 0 | 0.05 | ||
Team Total or Average | 556 | 88 | 169 | 257 | 33 | 204 | 20 | 635 | 904 | 258 | 578 | 9.73% | 246 | 16.72 | 20 | 43 | 63 | 906 | 1 | 1 | 2 | 660 | 20 | 5 | 54.38% | 3104 | 0 | 0 | 1 | 0 | 0.55 | 1 | 3 |
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 | Andrei Vasilevskiy | ![]() | 28 | 17 | 8 | 3 | 0.918 | 2.25 | 1630 | 0 | 4 | 61 | 745 | 0 | 0 | 0 | 1.000 | 4 | 28 | 3 | 4 | 0 | 0 |
2 | Jaroslav Halak | ![]() | 5 | 2 | 1 | 0 | 0.924 | 1.75 | 240 | 0 | 1 | 7 | 92 | 0 | 0 | 0 | 0.000 | 0 | 3 | 28 | 0 | 0 | 0 |
Team Total or Average | 33 | 19 | 9 | 3 | 0.919 | 2.18 | 1870 | 0 | 5 | 68 | 837 | 0 | 0 | 0 | 1.000 | 4 | 31 | 31 | 4 | 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 | ![]() | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 4 | 0.667 | 5 | 8 | 13 | 0 | 1 | 1 | 2 | 2 | 0 | 85 | 35 | 26 | 24 | 0 | 66 | 21 | 14 | 48 | 8 | 1 | 12.50% | 7 | 0 | 100.00% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 73 | 51 | 69 | 20 | 37 | 18 | 36.4% | 5.9% | 89.4% | 95.3 | Unlucky |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 0 | 1 | 1 | 0 | 31 | 8 | 11 | 12 | 0 | 29 | 7 | 8 | 19 | 5 | 2 | 40.00% | 4 | 0 | 100.00% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 26 | 17 | 21 | 7 | 12 | 6 | nan% | 6.5% | 100.0% | 106.5 | DULL |
3 | ![]() | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 0 | 2 | 2 | 1 | 50 | 13 | 14 | 18 | 9 | 70 | 22 | 12 | 41 | 5 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 48 | 33 | 50 | 16 | 27 | 12 | 62.5% | 10.0% | 92.9% | 102.9 | LUCKY |
4 | ![]() | 6 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 13 | 14 | -1 | 6 | 0.500 | 13 | 24 | 37 | 0 | 0 | 5 | 3 | 4 | 1 | 160 | 42 | 70 | 47 | 1 | 147 | 40 | 37 | 116 | 20 | 2 | 10.00% | 13 | 1 | 92.31% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 146 | 103 | 138 | 44 | 75 | 37 | 45.8% | 8.1% | 90.5% | 98.6 | Unlucky |
5 | ![]() | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 3 | 12 | 6 | 1.000 | 15 | 27 | 42 | 0 | 1 | 7 | 5 | 3 | 0 | 93 | 36 | 19 | 38 | 0 | 75 | 22 | 12 | 48 | 9 | 3 | 33.33% | 6 | 1 | 83.33% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 78 | 56 | 65 | 21 | 35 | 18 | 85.7% | 16.1% | 96.0% | 112.1 | LUCKY |
6 | ![]() | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 8 | 2 | 4 | 0.667 | 10 | 20 | 30 | 0 | 0 | 2 | 1 | 6 | 1 | 80 | 24 | 16 | 39 | 1 | 90 | 25 | 18 | 68 | 8 | 1 | 12.50% | 9 | 2 | 77.78% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 74 | 53 | 69 | 20 | 38 | 19 | 60.0% | 12.5% | 91.1% | 103.6 | Unlucky |
7 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 0 | 4 | 2 | 0 | 35 | 6 | 16 | 13 | 0 | 39 | 13 | 12 | 38 | 9 | 3 | 33.33% | 6 | 0 | 100.00% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 48 | 33 | 46 | 15 | 24 | 12 | 42.9% | 17.1% | 89.7% | 106.9 | FUN |
8 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 24 | 8 | 5 | 11 | 0 | 29 | 10 | 19 | 15 | 6 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 24 | 16 | 24 | 7 | 11 | 5 | 40.0% | 8.3% | 89.7% | 98.0 | Unlucky |
9 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 1 | 1 | 1 | 0 | 37 | 20 | 5 | 12 | 0 | 23 | 8 | 6 | 21 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 24 | 16 | 21 | 7 | 13 | 6 | 100.0% | 8.1% | 100.0% | 108.1 | DULL |
10 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 0 | 0 | 3 | 0 | 23 | 4 | 6 | 13 | 0 | 30 | 9 | 10 | 17 | 4 | 3 | 75.00% | 5 | 1 | 80.00% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 23 | 15 | 23 | 7 | 13 | 6 | 0.0% | 13.0% | 86.7% | 99.7 | FUN |
11 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 36 | 12 | 14 | 10 | 0 | 31 | 18 | 12 | 18 | 0 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 24 | 17 | 22 | 7 | 13 | 6 | 33.3% | 5.6% | 83.9% | 89.4 | Unlucky |
12 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 4 | 1.000 | 7 | 13 | 20 | 0 | 1 | 2 | 5 | 0 | 0 | 68 | 18 | 23 | 27 | 0 | 39 | 12 | 6 | 36 | 8 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 52 | 38 | 41 | 14 | 25 | 13 | 87.5% | 10.3% | 97.4% | 107.7 | LUCKY |
13 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 0 | 3 | 2 | 0 | 56 | 16 | 16 | 24 | 0 | 54 | 9 | 8 | 44 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 42 | 28 | 49 | 14 | 27 | 13 | 40.0% | 8.9% | 87.0% | 96.0 | Unlucky |
14 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 27 | 12 | 7 | 8 | 0 | 27 | 3 | 10 | 26 | 2 | 1 | 50.00% | 5 | 0 | 100.00% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 24 | 16 | 22 | 7 | 12 | 6 | 50.0% | 7.4% | 96.3% | 103.7 | DULL |
15 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 6 | 2 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 3 | 3 | 2 | 0 | 64 | 19 | 25 | 19 | 1 | 88 | 24 | 16 | 46 | 10 | 4 | 40.00% | 7 | 0 | 100.00% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 47 | 32 | 50 | 15 | 24 | 12 | 40.0% | 12.5% | 93.2% | 105.7 | LUCKY |
_Vs Division | 16 | 7 | 4 | 0 | 2 | 2 | 1 | 0 | 51 | 36 | 15 | 22 | 0.688 | 51 | 93 | 144 | 0 | 1 | 17 | 14 | 17 | 3 | 447 | 134 | 144 | 161 | 12 | 470 | 133 | 95 | 319 | 52 | 10 | 19.23% | 41 | 6 | 85.37% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 395 | 279 | 374 | 118 | 201 | 100 | 57.7% | 11.4% | 92.3% | 103.7 | LUCKY | |
_Vs Conference | 23 | 11 | 7 | 0 | 2 | 2 | 1 | 0 | 65 | 51 | 14 | 30 | 0.652 | 65 | 117 | 182 | 0 | 3 | 20 | 20 | 22 | 3 | 646 | 205 | 204 | 229 | 12 | 646 | 173 | 135 | 456 | 71 | 15 | 21.13% | 60 | 7 | 88.33% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 562 | 394 | 538 | 168 | 292 | 145 | 53.2% | 10.1% | 92.1% | 102.2 | LUCKY | |
_Since Last GM Reset | 31 | 16 | 9 | 0 | 2 | 3 | 1 | 0 | 88 | 68 | 20 | 41 | 0.661 | 88 | 161 | 249 | 0 | 5 | 24 | 30 | 31 | 3 | 869 | 273 | 273 | 315 | 12 | 837 | 243 | 200 | 601 | 102 | 21 | 20.59% | 83 | 9 | 89.16% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 759 | 531 | 718 | 228 | 395 | 197 | 53.2% | 10.1% | 91.9% | 102.0 | LUCKY | |
Total | 31 | 16 | 9 | 0 | 2 | 3 | 1 | 0 | 88 | 68 | 20 | 41 | 0.661 | 88 | 161 | 249 | 0 | 5 | 24 | 30 | 31 | 3 | 869 | 273 | 273 | 315 | 12 | 837 | 243 | 200 | 601 | 102 | 21 | 20.59% | 83 | 9 | 89.16% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 759 | 531 | 718 | 228 | 395 | 197 | 53.2% | 10.1% | 91.9% | 102.0 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1068 |
Neutral Zone Start | 440 |
Defensive Zone Start | 998 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1415 |
Faceoffs Lost | 1091 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.8 | 9.57 |
2nd Period | 17.6 | 20.31 |
3rd Period | 27.8 | 30.68 |
Overtime | 28.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 67 |
---|---|
PP Goal | 21 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 11 | 8 |
Lost | 1 | 8 |
Overtime Lost | 2 | 1 |
PP Attempt | 102 |
---|---|
PP Goal | 21 |
PK Attempt | 83 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 28.0 |
Shots Against | 27.0 |
Goals For | 2.8 |
Goals Against | 2.2 |
Hits | 19.4 |
Shots Blocked | 7.8 |
Pim | 6.5 |
![]() | |
Projected Total Cap Hit | 86,807,366$ |
Projected Cap Space | 1,192,634$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 30,415,968$ |
Players In Salary Cap | 20 |
Contracts | 44/50 |
LTIR Players | 0 |
Rangers Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexandre Carrier ![]() | D | 27 | 750,000$ | 750,000$ | 2,500,000$ | ![]() | |||||
Andrei Vasilevskiy ![]() | G | 29 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |
Andrew Peeke ![]() | D | 25 | 787,500$ | 787,500$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||
Anze Kopitar ![]() | C | 36 | 10,000,000$ | 10,000,000$ | 10,000,000$ | UFA | |||||
Bo Horvat ![]() | C | 28 | 5,500,000$ | 5,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ |
Cole Perfetti ![]() | C/LW | 21 | 925,000$ | 894,167$ | 894,167$ | RFA | |||||
David Kampf ![]() | C/LW/RW | 28 | 1,500,000$ | 1,500,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | UFA | ||
Evander Kane ![]() | LW | 32 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | UFA | |||
Jaroslav Halak ![]() | G | 38 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Jordan Staal ![]() | C | 35 | 6,000,000$ | 6,000,000$ | UFA | ||||||
Martin Necas ![]() | C/RW | 24 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ![]() | |||||
Miro Heiskanen ![]() | D | 24 | 8,450,000$ | 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 | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Ryan Nugent-Hopkins ![]() | C/LW | 30 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | UFA |
Ryan Poehling ![]() | C | 24 | 750,000$ | 750,000$ | 1,400,000$ | ![]() | |||||
Ryan Suter ![]() | D | 38 | 3,650,000$ | 3,650,000$ | 3,650,000$ | 3,650,000$ | UFA | ||||
Teddy Blueger ![]() | C | 29 | 2,200,000$ | 2,200,000$ | UFA | ||||||
Victor Hedman ![]() | D | 32 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | UFA | ||||
William Nylander ![]() | C/RW | 27 | 6,962,366$ | 6,962,366$ | 6,962,366$ | UFA | |||||
Zach Hyman ![]() | C/LW/RW | 31 | 5,500,000$ | 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 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Oglevie ![]() | C/RW | 28 | 750,000$ | 750,000$ | UFA | ||||||
Arnaud Durandeau ![]() | LW | 24 | 762,500$ | 762,500$ | 762,500$ | ![]() | |||||
Brad Richardson ![]() ![]() | C | 38 | 750,000$ | 750,000$ | UFA | ||||||
Brady Keeper ![]() | D | 27 | 762,500$ | 762,500$ | 775,000$ | UFA | |||||
Brett Ritchie ![]() ![]() | RW | 30 | 750,000$ | 750,000$ | UFA | ||||||
Cam Morrison ![]() | C/LW | 25 | 750,000$ | 750,000$ | RFA | ||||||
Cayden Primeau ![]() | G | 24 | 890,000$ | 890,000$ | 890,000$ | 890,000$ | ![]() | ||||
Cole Schneider ![]() | C/LW | 33 | 750,000$ | 750,000$ | UFA | ||||||
Connor Corcoran ![]() | D | 23 | 813,333$ | 813,333$ | RFA | ||||||
Garrett Wilson ![]() ![]() | C/LW | 32 | 750,000$ | 750,000$ | UFA | ||||||
Henri Nikkanen ![]() | C | 22 | 750,000$ | 750,000$ | 859,167$ | 859,167$ | RFA | ||||
Hunter Miska ![]() | G | 28 | 750,000$ | 750,000$ | ![]() | ||||||
Jacob Larsson ![]() ![]() | D | 26 | 750,000$ | 750,000$ | 775,000$ | ![]() | |||||
Jayce Hawryluk ![]() | RW | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Jerad Rosburg ![]() | D | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Jeremy Groleau ![]() | D | 24 | 750,000$ | 750,000$ | RFA | ||||||
Jonny Brodzinski ![]() | C/RW | 30 | 750,000$ | 750,000$ | UFA | ||||||
Kevin Gravel ![]() | D | 31 | 750,000$ | 750,000$ | UFA | ||||||
Linus Karlsson ![]() | RW | 24 | 883,750$ | 883,750$ | 883,750$ | RFA | |||||
Markus Nurmi ![]() | LW/RW | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Matt Rempe ![]() | C | 21 | 750,000$ | 750,000$ | 820,000$ | 820,000$ | RFA | ||||
Michael Dal Colle ![]() | C/RW | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Pyotr Kochetkov ![]() | G | 24 | 842,500$ | 842,500$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||
Timur Ibragimov ![]() | C/LW | 23 | 813,333$ | 813,333$ | RFA | ||||||
Urho Vaakanainen ![]() | D | 24 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Vladislav Provolnev ![]() | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Will Cranley ![]() | G | 21 | 841,667$ | 841,667$ | 841,667$ | 841,667$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 4 | 0.667 | 5 | 8 | 13 | 0 | 1 | 1 | 2 | 2 | 0 | 85 | 35 | 26 | 24 | 0 | 66 | 21 | 14 | 48 | 8 | 1 | 12.50% | 7 | 0 | 100.00% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 73 | 51 | 69 | 20 | 37 | 18 | 36.4% | 5.9% | 89.4% | 95.3 | Unlucky |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 0 | 1 | 1 | 0 | 31 | 8 | 11 | 12 | 0 | 29 | 7 | 8 | 19 | 5 | 2 | 40.00% | 4 | 0 | 100.00% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 26 | 17 | 21 | 7 | 12 | 6 | nan% | 6.5% | 100.0% | 106.5 | DULL |
3 | ![]() | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 0 | 2 | 2 | 1 | 50 | 13 | 14 | 18 | 9 | 70 | 22 | 12 | 41 | 5 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 48 | 33 | 50 | 16 | 27 | 12 | 62.5% | 10.0% | 92.9% | 102.9 | LUCKY |
4 | ![]() | 6 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 13 | 14 | -1 | 6 | 0.500 | 13 | 24 | 37 | 0 | 0 | 5 | 3 | 4 | 1 | 160 | 42 | 70 | 47 | 1 | 147 | 40 | 37 | 116 | 20 | 2 | 10.00% | 13 | 1 | 92.31% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 146 | 103 | 138 | 44 | 75 | 37 | 45.8% | 8.1% | 90.5% | 98.6 | Unlucky |
5 | ![]() | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 3 | 12 | 6 | 1.000 | 15 | 27 | 42 | 0 | 1 | 7 | 5 | 3 | 0 | 93 | 36 | 19 | 38 | 0 | 75 | 22 | 12 | 48 | 9 | 3 | 33.33% | 6 | 1 | 83.33% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 78 | 56 | 65 | 21 | 35 | 18 | 85.7% | 16.1% | 96.0% | 112.1 | LUCKY |
6 | ![]() | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 8 | 2 | 4 | 0.667 | 10 | 20 | 30 | 0 | 0 | 2 | 1 | 6 | 1 | 80 | 24 | 16 | 39 | 1 | 90 | 25 | 18 | 68 | 8 | 1 | 12.50% | 9 | 2 | 77.78% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 74 | 53 | 69 | 20 | 38 | 19 | 60.0% | 12.5% | 91.1% | 103.6 | Unlucky |
7 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 0 | 4 | 2 | 0 | 35 | 6 | 16 | 13 | 0 | 39 | 13 | 12 | 38 | 9 | 3 | 33.33% | 6 | 0 | 100.00% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 48 | 33 | 46 | 15 | 24 | 12 | 42.9% | 17.1% | 89.7% | 106.9 | FUN |
8 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 24 | 8 | 5 | 11 | 0 | 29 | 10 | 19 | 15 | 6 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 24 | 16 | 24 | 7 | 11 | 5 | 40.0% | 8.3% | 89.7% | 98.0 | Unlucky |
9 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 1 | 1 | 1 | 0 | 37 | 20 | 5 | 12 | 0 | 23 | 8 | 6 | 21 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 24 | 16 | 21 | 7 | 13 | 6 | 100.0% | 8.1% | 100.0% | 108.1 | DULL |
10 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 0 | 0 | 3 | 0 | 23 | 4 | 6 | 13 | 0 | 30 | 9 | 10 | 17 | 4 | 3 | 75.00% | 5 | 1 | 80.00% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 23 | 15 | 23 | 7 | 13 | 6 | 0.0% | 13.0% | 86.7% | 99.7 | FUN |
11 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 36 | 12 | 14 | 10 | 0 | 31 | 18 | 12 | 18 | 0 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 24 | 17 | 22 | 7 | 13 | 6 | 33.3% | 5.6% | 83.9% | 89.4 | Unlucky |
12 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 4 | 1.000 | 7 | 13 | 20 | 0 | 1 | 2 | 5 | 0 | 0 | 68 | 18 | 23 | 27 | 0 | 39 | 12 | 6 | 36 | 8 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 52 | 38 | 41 | 14 | 25 | 13 | 87.5% | 10.3% | 97.4% | 107.7 | LUCKY |
13 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 0 | 3 | 2 | 0 | 56 | 16 | 16 | 24 | 0 | 54 | 9 | 8 | 44 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 42 | 28 | 49 | 14 | 27 | 13 | 40.0% | 8.9% | 87.0% | 96.0 | Unlucky |
14 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 27 | 12 | 7 | 8 | 0 | 27 | 3 | 10 | 26 | 2 | 1 | 50.00% | 5 | 0 | 100.00% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 24 | 16 | 22 | 7 | 12 | 6 | 50.0% | 7.4% | 96.3% | 103.7 | DULL |
15 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 6 | 2 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 3 | 3 | 2 | 0 | 64 | 19 | 25 | 19 | 1 | 88 | 24 | 16 | 46 | 10 | 4 | 40.00% | 7 | 0 | 100.00% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 47 | 32 | 50 | 15 | 24 | 12 | 40.0% | 12.5% | 93.2% | 105.7 | LUCKY |
_Vs Division | 16 | 7 | 4 | 0 | 2 | 2 | 1 | 0 | 51 | 36 | 15 | 22 | 0.688 | 51 | 93 | 144 | 0 | 1 | 17 | 14 | 17 | 3 | 447 | 134 | 144 | 161 | 12 | 470 | 133 | 95 | 319 | 52 | 10 | 19.23% | 41 | 6 | 85.37% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 395 | 279 | 374 | 118 | 201 | 100 | 57.7% | 11.4% | 92.3% | 103.7 | LUCKY | |
_Vs Conference | 23 | 11 | 7 | 0 | 2 | 2 | 1 | 0 | 65 | 51 | 14 | 30 | 0.652 | 65 | 117 | 182 | 0 | 3 | 20 | 20 | 22 | 3 | 646 | 205 | 204 | 229 | 12 | 646 | 173 | 135 | 456 | 71 | 15 | 21.13% | 60 | 7 | 88.33% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 562 | 394 | 538 | 168 | 292 | 145 | 53.2% | 10.1% | 92.1% | 102.2 | LUCKY | |
_Since Last GM Reset | 31 | 16 | 9 | 0 | 2 | 3 | 1 | 0 | 88 | 68 | 20 | 41 | 0.661 | 88 | 161 | 249 | 0 | 5 | 24 | 30 | 31 | 3 | 869 | 273 | 273 | 315 | 12 | 837 | 243 | 200 | 601 | 102 | 21 | 20.59% | 83 | 9 | 89.16% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 759 | 531 | 718 | 228 | 395 | 197 | 53.2% | 10.1% | 91.9% | 102.0 | LUCKY | |
Total | 31 | 16 | 9 | 0 | 2 | 3 | 1 | 0 | 88 | 68 | 20 | 41 | 0.661 | 88 | 161 | 249 | 0 | 5 | 24 | 30 | 31 | 3 | 869 | 273 | 273 | 315 | 12 | 837 | 243 | 200 | 601 | 102 | 21 | 20.59% | 83 | 9 | 89.16% | 0 | 611 | 1068 | 57.21% | 555 | 998 | 55.61% | 249 | 440 | 56.59% | 759 | 531 | 718 | 228 | 395 | 197 | 53.2% | 10.1% | 91.9% | 102.0 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1068 |
Neutral Zone Start | 440 |
Defensive Zone Start | 998 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1415 |
Faceoffs Lost | 1091 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.8 | 9.57 |
2nd Period | 17.6 | 20.31 |
3rd Period | 27.8 | 30.68 |
Overtime | 28.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 67 |
---|---|
PP Goal | 21 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 11 | 8 |
Lost | 1 | 8 |
Overtime Lost | 2 | 1 |
PP Attempt | 102 |
---|---|
PP Goal | 21 |
PK Attempt | 83 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 28.0 |
Shots Against | 27.0 |
Goals For | 2.8 |
Goals Against | 2.2 |
Hits | 19.4 |
Shots Blocked | 7.8 |
Pim | 6.5 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
Sat, Oct 7 | ![]() | @ | ![]() | NYR2,EDM5 | RECAP |
Mon, Oct 9 | ![]() | @ | ![]() | WSH2,NYR1 | RECAP |
Tue, Oct 10 | ![]() | @ | ![]() | NYR5,WSH3 | RECAP |
Thu, Oct 12 | ![]() | @ | ![]() | NYR3,NYI2 | RECAP |
Sat, Oct 14 | ![]() | @ | ![]() | PHI3,NYR4 (OT) | RECAP |
Mon, Oct 16 | ![]() | @ | ![]() | NYR2,PHI3 | RECAP |
Wed, Oct 18 | ![]() | @ | ![]() | PHI2,NYR4 | RECAP |
Fri, Oct 20 | ![]() | @ | ![]() | NYR3,DAL1 | RECAP |
Sun, Oct 22 | ![]() | @ | ![]() | NYI0,NYR6 | RECAP |
Wed, Oct 25 | ![]() | @ | ![]() | BOS2,NYR3 | RECAP |
Sat, Oct 28 | ![]() | @ | ![]() | NYR2,TOR3 | RECAP |
Mon, Oct 30 | ![]() | @ | ![]() | WSH1,NYR2 (OT) | RECAP |
Wed, Nov 1 | ![]() | @ | ![]() | NYR3,CAR4 (OT) | RECAP |
Thu, Nov 2 | ![]() | @ | ![]() | NYR1,WSH2 | RECAP |
Sat, Nov 4 | ![]() | @ | ![]() | CLB2,NYR1 (OT) | RECAP |
Tue, Nov 7 | ![]() | @ | ![]() | WPG2,NYR3 | RECAP |
Thu, Nov 9 | ![]() | @ | ![]() | NYR5,CAR2 | RECAP |
Fri, Nov 10 | ![]() | @ | ![]() | DAL0,NYR4 | RECAP |
Mon, Nov 13 | ![]() | @ | ![]() | NYR3,VAN0 | RECAP |
Tue, Nov 14 | ![]() | @ | ![]() | NYI1,NYR6 | RECAP |
Thu, Nov 16 | ![]() | @ | ![]() | NYR2,DET0 | RECAP |
Sat, Nov 18 | ![]() | @ | ![]() | NYR3,TOR4 | RECAP |
Mon, Nov 20 | ![]() | @ | ![]() | CGY4,NYR3 (OT) | RECAP |
Wed, Nov 22 | ![]() | @ | ![]() | WSH2,NYR3 | RECAP |
Fri, Nov 24 | ![]() | @ | ![]() | NYR1,WSH4 | RECAP |
Sun, Nov 26 | ![]() | @ | ![]() | NYR2,CHI3 | RECAP |
Tue, Nov 28 | ![]() | @ | ![]() | TBL1,NYR2 | RECAP |
Fri, Dec 1 | ![]() | @ | ![]() | BOS0,NYR2 | RECAP |
Sun, Dec 3 | ![]() | @ | ![]() | NYR3,WPG2 | RECAP |
Tue, Dec 5 | ![]() | @ | ![]() | NYR0,BOS5 | RECAP |
Thu, Dec 7 | ![]() | @ | ![]() | NYR4,CLB3 (SO) | RECAP |
Fri, Dec 8 | ![]() | @ | ![]() | ||
Sun, Dec 10 | ![]() | @ | ![]() | ||
Tue, Dec 12 | ![]() | @ | ![]() | ||
Thu, Dec 14 | ![]() | @ | ![]() | ||
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Sun, Mar 24 | ![]() | @ | ![]() | ||
Wed, Mar 27 | ![]() | @ | ![]() | ||
Sat, Mar 30 | ![]() | @ | ![]() |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
86,807,366$ | 0$ | 86,807,366$ | 1,192,634$ |
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 | 80674 | 67984 | 27142 | 53150 | 13337 |
Attendance PCT | 96.04% | 97.12% | 96.94% | 94.91% | 95.26% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
27 | 17306 - 96.15% | 1,819,137$ | 25,467,914$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
86,807,366$ | 86,838,199$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
30,766,268$ | 86,807,366$ | 30,415,968$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
49,116,691$ | 115 | 496,087$ | 57,050,005$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
59,012,825$ | 86,807,366$ | 29,232,543$ | 21,468,184$ |
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 |
---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Daniil Orlov | ![]() | 2022 | 110 | Link | |
David Noel | ![]() | 2017 | |||
Dyllan Gill | ![]() | 2022 | 223 | Link | |
Eric Hjorth | ![]() | 2019 | |||
Henrik Tikkanen | ![]() | 2020 | |||
Kyle Jackson | ![]() | 2022 | 196 | Link | |
Ludvig Jansson | ![]() | 2022 | 125 | Link | |
Matteo Costantini | ![]() | 2020 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 |
---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Daniil Orlov | ![]() | 2022 | 110 | Link | |
David Noel | ![]() | 2017 | |||
Dyllan Gill | ![]() | 2022 | 223 | Link | |
Eric Hjorth | ![]() | 2019 | |||
Henrik Tikkanen | ![]() | 2020 | |||
Kyle Jackson | ![]() | 2022 | 196 | Link | |
Ludvig Jansson | ![]() | 2022 | 125 | Link | |
Matteo Costantini | ![]() | 2020 |
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