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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Minnesota Slapshots 21-23-4, 46pts · 11th in World Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW | 100.00 | 44 | 40 | 73 | 19 | 77 | 92 | 97 | 80 | 44 | 91 | 81 | 75 | 52 | 68 | 69 | 93 | 75 | 89 | 29 | 5,900,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 30 | 40 | 79 | 26 | 72 | 90 | 87 | 76 | 73 | 83 | 79 | 77 | 46 | 55 | 48 | 87 | 75 | 85 | 22 | 2,800,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 46 | 40 | 71 | 26 | 75 | 85 | 81 | 73 | 25 | 79 | 81 | 72 | 76 | 88 | 67 | 86 | 75 | 83 | 34 | 4,450,000$/1yrs | |||
![]() | 43 | RW | 100.00 | 47 | 50 | 80 | 31 | 83 | 91 | 75 | 67 | 25 | 68 | 83 | 82 | 46 | 65 | 53 | 82 | 75 | 83 | 27 | 850,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 40 | 45 | 72 | 30 | 88 | 92 | 78 | 69 | 29 | 78 | 79 | 62 | 83 | 82 | 92 | 83 | 75 | 80 | 35 | 4,600,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 38 | 40 | 70 | 31 | 78 | 84 | 98 | 68 | 65 | 77 | 79 | 70 | 50 | 71 | 77 | 82 | 75 | 80 | 30 | 5,000,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 75 | 99 | 62 | 30 | 84 | 90 | 95 | 70 | 73 | 71 | 82 | 62 | 18 | 41 | 46 | 83 | 75 | 80 | 22 | 8,330,673$/7yrs | |||
![]() | 0 | C | 100.00 | 44 | 44 | 79 | 35 | 78 | 90 | 93 | 66 | 71 | 77 | 78 | 78 | 78 | 91 | 89 | 78 | 75 | 79 | 33 | 10,100,000$/1yrs | |||
![]() | 0 | C | 100.00 | 59 | 52 | 81 | 34 | 77 | 69 | 57 | 67 | 70 | 72 | 79 | 76 | 18 | 46 | 45 | 79 | 75 | 77 | 24 | 863,333$/1yrs | |||
![]() | 0 | RW | 100.00 | 99 | 40 | 83 | 47 | 77 | 78 | 71 | 57 | 25 | 72 | 74 | 85 | 18 | 86 | 87 | 73 | 75 | 76 | 34 | 1,750,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 53 | 40 | 78 | 43 | 81 | 80 | 68 | 67 | 73 | 65 | 78 | 83 | 18 | 53 | 54 | 73 | 75 | 76 | 28 | 1,750,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 65 | 40 | 78 | 46 | 70 | 78 | 70 | 61 | 25 | 71 | 76 | 83 | 18 | 51 | 44 | 73 | 75 | 76 | 27 | 2,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 49 | 43 | 70 | 38 | 75 | 98 | 94 | 81 | 25 | 91 | 72 | 79 | 42 | 99 | 83 | 87 | 75 | 85 | 35 | 9,375,000$/1yrs | |||
![]() | 53 | D | 100.00 | 36 | 40 | 76 | 39 | 69 | 88 | 99 | 82 | 25 | 89 | 72 | 73 | 46 | 52 | 46 | 85 | 75 | 81 | 29 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 32 | 40 | 78 | 38 | 73 | 80 | 88 | 83 | 25 | 92 | 71 | 70 | 18 | 74 | 62 | 86 | 75 | 80 | 30 | 2,900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 41 | 44 | 69 | 44 | 81 | 86 | 99 | 74 | 25 | 82 | 72 | 81 | 46 | 62 | 51 | 78 | 75 | 80 | 28 | 5,250,000$/3yrs | |||
![]() | 0 | D | 100.00 | 50 | 40 | 75 | 48 | 77 | 85 | 81 | 74 | 25 | 79 | 71 | 81 | 18 | 45 | 40 | 73 | 75 | 77 | 27 | 3,150,000$/3yrs | |||
![]() | 0 | D | 100.00 | 94 | 99 | 68 | 50 | 77 | 78 | 93 | 66 | 25 | 76 | 71 | 85 | 18 | 67 | 54 | 70 | 75 | 76 | 32 | 2,500,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/RW | 100.00 | 35 | 40 | 76 | 41 | 67 | 78 | 75 | 69 | 58 | 73 | 80 | 73 | 59 | 50 | 45 | 73 | 75 | 74 | 28 | 525,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 75 | 51 | 84 | 46 | 76 | 74 | 53 | 66 | 91 | 66 | 75 | 77 | 18 | 49 | 53 | 73 | 75 | 74 | 30 | 450,000$/2yrs | |||
TEAM AVERAGE | 100.00 | 53 | 48 | 75 | 37 | 77 | 84 | 83 | 71 | 45 | 78 | 77 | 76 | 39 | 65 | 60 | 80 | 75 | 80 |
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 | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 91 | 93 | 88 | 83 | 91 | 92 | 91 | 91 | 91 | 91 | 76 | 65 | 53 | 81 | 75 | 83 | 34 | 2,500,000$/1yrs |
![]() | 0 | 100.00 | 91 | 91 | 83 | 76 | 91 | 85 | 91 | 91 | 90 | 91 | 74 | 71 | 57 | 77 | 75 | 78 | 28 | 3,750,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 91 | 92 | 86 | 80 | 91 | 89 | 91 | 91 | 91 | 91 | 75 | 68 | 55 | 79 | 75 | 81 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Joe Larson |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Robert Thomas | ![]() | 0 | C/RW | 48 | 29 | 41 | 70 | 23 | 2 | 0 | 16 | 164 | 45 | 96 | 17.68% | 23 | 19.83 | 8 | 12 | 20 | 0 | 1 | 1 | 106 | 4 | 4 | 52.86% | 980 | 10 | 8 | 0 | 2 | 1.47 | 0 | 0 |
2 | David Perron | ![]() | 0 | LW/RW | 48 | 23 | 27 | 50 | 22 | 28 | 0 | 69 | 153 | 49 | 94 | 15.03% | 14 | 20.27 | 6 | 5 | 11 | 1 | 0 | 1 | 130 | 4 | 0 | 22.22% | 45 | 24 | 9 | 0 | 2 | 1.03 | 1 | 1 |
3 | Jonathan Huberdeau | ![]() | 0 | LW | 52 | 19 | 30 | 49 | 8 | 54 | 0 | 50 | 145 | 47 | 110 | 13.10% | 39 | 21.44 | 3 | 13 | 16 | 1 | 2 | 3 | 274 | 3 | 3 | 36.14% | 440 | 18 | 9 | 0 | 0 | 0.88 | 0 | 3 |
4 | Brady Tkachuk | ![]() | 0 | LW | 48 | 17 | 27 | 44 | 12 | 196 | 90 | 170 | 87 | 33 | 73 | 19.54% | 14 | 15.96 | 4 | 7 | 11 | 0 | 0 | 0 | 22 | 1 | 1 | 42.55% | 47 | 21 | 4 | 0 | 1 | 1.15 | 0 | 0 |
5 | Tyson Barrie | ![]() | 0 | D | 48 | 3 | 33 | 36 | 0 | 20 | 0 | 14 | 68 | 30 | 35 | 4.41% | 35 | 19.83 | 0 | 9 | 9 | 0 | 0 | 0 | 71 | 0 | 1 | 0.00% | 0 | 14 | 16 | 0 | 0 | 0.76 | 0 | 0 |
6 | Kris Letang | ![]() | 0 | D | 48 | 6 | 25 | 31 | 12 | 60 | 0 | 92 | 76 | 45 | 34 | 7.89% | 73 | 24.61 | 3 | 6 | 9 | 0 | 0 | 0 | 114 | 1 | 0 | 0.00% | 0 | 21 | 26 | 0 | 0 | 0.52 | 0 | 1 |
7 | Logan Couture | ![]() | 0 | C | 48 | 15 | 16 | 31 | -2 | 19 | 5 | 55 | 141 | 39 | 77 | 10.64% | 23 | 15.80 | 3 | 3 | 6 | 0 | 1 | 1 | 25 | 4 | 1 | 55.46% | 559 | 13 | 5 | 0 | 0 | 0.82 | 1 | 1 |
8 | Shayne Gostisbehere | ![]() | 53 | D | 48 | 7 | 20 | 27 | 9 | 18 | 0 | 39 | 72 | 40 | 43 | 9.72% | 69 | 22.32 | 2 | 7 | 9 | 0 | 0 | 0 | 65 | 1 | 0 | 0.00% | 0 | 22 | 14 | 0 | 0 | 0.50 | 0 | 0 |
9 | Blake Wheeler | ![]() | 0 | C/RW | 48 | 11 | 13 | 24 | 0 | 20 | 0 | 56 | 95 | 31 | 78 | 11.58% | 12 | 16.22 | 2 | 2 | 4 | 0 | 0 | 0 | 25 | 0 | 0 | 33.87% | 62 | 13 | 4 | 0 | 0 | 0.62 | 0 | 1 |
10 | Brady Skjei | ![]() | 0 | D | 48 | 3 | 18 | 21 | 0 | 45 | 5 | 55 | 59 | 40 | 24 | 5.08% | 89 | 23.60 | 0 | 6 | 6 | 0 | 0 | 0 | 201 | 0 | 0 | 0.00% | 0 | 16 | 13 | 0 | 0 | 0.37 | 0 | 0 |
11 | Taylor Hall | ![]() | 0 | LW | 48 | 6 | 9 | 15 | -2 | 28 | 0 | 35 | 98 | 34 | 53 | 6.12% | 14 | 16.53 | 1 | 3 | 4 | 0 | 0 | 0 | 23 | 0 | 1 | 51.02% | 49 | 14 | 4 | 0 | 0 | 0.38 | 0 | 0 |
12 | Valeri Nichushkin | ![]() | 43 | RW | 48 | 8 | 6 | 14 | 13 | 28 | 10 | 92 | 57 | 21 | 38 | 14.04% | 20 | 17.70 | 4 | 3 | 7 | 0 | 0 | 0 | 57 | 3 | 0 | 26.58% | 79 | 3 | 13 | 0 | 0 | 0.33 | 0 | 0 |
13 | Tyler Motte | ![]() | 0 | C/LW/RW | 44 | 5 | 8 | 13 | -6 | 22 | 0 | 66 | 72 | 28 | 50 | 6.94% | 17 | 11.82 | 0 | 0 | 0 | 1 | 0 | 1 | 41 | 0 | 0 | 19.05% | 21 | 17 | 7 | 0 | 0 | 0.50 | 0 | 0 |
14 | Brett Howden | ![]() | 0 | C | 48 | 6 | 6 | 12 | -7 | 4 | 0 | 66 | 58 | 14 | 37 | 10.34% | 13 | 11.28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 51.55% | 386 | 5 | 3 | 0 | 0 | 0.44 | 0 | 0 |
15 | Matt Roy | ![]() | 0 | D | 36 | 3 | 7 | 10 | 5 | 16 | 0 | 12 | 47 | 13 | 24 | 6.38% | 36 | 15.06 | 0 | 0 | 0 | 0 | 1 | 1 | 89 | 0 | 0 | 0.00% | 0 | 9 | 13 | 0 | 0 | 0.37 | 0 | 0 |
16 | Zemgus Girgensons | ![]() | 0 | C/LW/RW | 48 | 5 | 4 | 9 | -11 | 20 | 0 | 62 | 81 | 20 | 33 | 6.17% | 24 | 15.36 | 0 | 0 | 0 | 0 | 0 | 0 | 161 | 0 | 0 | 46.44% | 239 | 14 | 6 | 0 | 0 | 0.24 | 0 | 0 |
17 | Radko Gudas | ![]() | 0 | D | 48 | 2 | 6 | 8 | 2 | 90 | 50 | 118 | 57 | 19 | 18 | 3.51% | 64 | 15.84 | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 0 | 0 | 0.00% | 0 | 12 | 17 | 0 | 0 | 0.21 | 0 | 0 |
18 | Cal Clutterbuck | ![]() | 0 | RW | 36 | 4 | 3 | 7 | 4 | 14 | 0 | 75 | 30 | 16 | 13 | 13.33% | 23 | 13.40 | 0 | 0 | 0 | 0 | 0 | 0 | 126 | 1 | 1 | 27.27% | 66 | 10 | 11 | 0 | 0 | 0.29 | 0 | 0 |
19 | Patrick Brown | ![]() | 0 | C/RW | 26 | 0 | 5 | 5 | -6 | 4 | 0 | 33 | 33 | 12 | 25 | 0.00% | 5 | 10.45 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 55.77% | 104 | 11 | 2 | 0 | 0 | 0.37 | 0 | 0 |
20 | Vinnie Hinostroza | ![]() | 0 | C/RW | 17 | 1 | 3 | 4 | 2 | 6 | 0 | 8 | 34 | 10 | 16 | 2.94% | 2 | 10.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 20 | 12 | 0 | 0 | 0 | 0.45 | 0 | 0 |
Team Total or Average | 883 | 173 | 307 | 480 | 78 | 694 | 160 | 1183 | 1627 | 586 | 971 | 10.63% | 609 | 17.39 | 37 | 76 | 113 | 1577 | 3 | 5 | 8 | 1688 | 23 | 13 | 47.92% | 3097 | 279 | 184 | 0 | 5 | 0.63 | 2 | 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 | James Reimer | ![]() | 41 | 18 | 18 | 4 | 0.895 | 3.49 | 2393 | 2 | 2 | 139 | 1319 | 690 | 2 | 0 | 1.000 | 2 | 41 | 7 | 4 | 1 | 0 |
2 | Matt Murray | ![]() | 10 | 3 | 5 | 0 | 0.916 | 2.63 | 502 | 2 | 0 | 22 | 261 | 147 | 0 | 0 | 0.000 | 0 | 7 | 41 | 0 | 2 | 0 |
Team Total or Average | 51 | 21 | 23 | 4 | 0.898 | 3.34 | 2896 | 4 | 2 | 161 | 1580 | 837 | 2 | 0 | 1.000 | 2 | 48 | 48 | 4 | 3 | 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 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1.50 | 2.50 | -1.00 | 1 | 0.250 | 1.5 | 3.0 | 4.5 | 0 | 0 | 3 | 0 | 0 | 0 | 36.0 | 26 | 25 | 19 | 2 | 36.0 | 11.0 | 8.00 | 19.0 | 2.50 | 0.50 | 20.00% | 4.00 | 1.50 | 62.50% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 21.50 | 13.50 | 24.50 | 8.50 | 14.50 | 7.00 | 50.0% | 4.2% | 93.1% | 97.2 | DULL |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 4.00 | 1.00 | 2 | 1.000 | 5.0 | 9.0 | 14.0 | 0 | 0 | 1 | 2 | 2 | 0 | 36.0 | 9 | 13 | 14 | 0 | 40.0 | 14.0 | 6.00 | 24.0 | 2.00 | 2.00 | 100.00% | 3.00 | 1.00 | 66.67% | 1 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 20.00 | 13.00 | 25.00 | 6.00 | 13.00 | 6.00 | 50.0% | 13.9% | 90.0% | 103.9 | FUN |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 4.00 | -1.00 | 0 | 0.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 1 | 1 | 1 | 0 | 33.0 | 12 | 14 | 7 | 0 | 31.0 | 18.0 | 10.00 | 17.0 | 3.00 | 1.00 | 33.33% | 6.00 | 1.00 | 83.33% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 23.00 | 16.00 | 23.00 | 7.00 | 13.00 | 6.00 | 40.0% | 9.1% | 87.1% | 96.2 | FUN |
4 | ![]() | 5 | 1 | 2 | 0 | 0 | 2 | 0 | 0 | 3.40 | 4.20 | -0.80 | 4 | 0.400 | 3.4 | 6.0 | 9.4 | 0 | 0 | 7 | 7 | 3 | 0 | 32.6 | 53 | 59 | 50 | 1 | 33.8 | 12.2 | 15.20 | 23.0 | 3.20 | 0.40 | 12.50% | 4.40 | 1.20 | 72.73% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 23.40 | 15.20 | 22.00 | 8.00 | 15.20 | 7.40 | 50.0% | 10.4% | 87.6% | 98.0 | FUN |
5 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5.00 | 7.00 | -2.00 | 0 | 0.000 | 5.0 | 9.0 | 14.0 | 0 | 0 | 1 | 1 | 3 | 0 | 28.0 | 12 | 7 | 9 | 0 | 39.0 | 12.0 | 11.00 | 29.0 | 1.00 | 0.00 | 0.00% | 3.00 | 1.00 | 66.67% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 20.00 | 12.00 | 24.00 | 8.00 | 15.00 | 8.00 | 45.5% | 17.9% | 82.1% | 99.9 | FUN |
6 | ![]() | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 6.33 | 2.00 | 4.33 | 6 | 1.000 | 6.3 | 11.0 | 17.3 | 0 | 0 | 7 | 5 | 7 | 0 | 36.0 | 34 | 27 | 47 | 0 | 31.3 | 11.7 | 19.00 | 18.0 | 6.33 | 1.33 | 21.05% | 5.33 | 0.33 | 93.75% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 25.00 | 16.67 | 20.67 | 7.67 | 13.67 | 7.33 | 75.0% | 17.6% | 93.6% | 111.2 | LUCKY |
7 | ![]() | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 2.67 | 3.67 | -1.00 | 2 | 0.333 | 2.7 | 5.3 | 8.0 | 0 | 0 | 3 | 2 | 3 | 0 | 30.3 | 28 | 33 | 30 | 0 | 30.7 | 12.3 | 12.00 | 22.0 | 3.00 | 0.33 | 11.11% | 4.33 | 0.67 | 84.62% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 21.67 | 13.00 | 23.00 | 8.33 | 15.00 | 7.33 | 43.8% | 8.8% | 88.0% | 96.8 | Unlucky |
8 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 3.00 | -0.50 | 2 | 0.500 | 2.5 | 4.5 | 7.0 | 0 | 0 | 3 | 2 | 0 | 0 | 29.0 | 26 | 22 | 10 | 0 | 32.5 | 10.0 | 21.00 | 21.0 | 3.50 | 0.00 | 0.00% | 3.00 | 1.00 | 66.67% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 18.50 | 11.00 | 24.50 | 9.00 | 16.50 | 7.50 | 55.6% | 8.6% | 90.8% | 99.4 | Unlucky |
9 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 2.00 | 0.00 | 2 | 0.500 | 2.0 | 4.0 | 6.0 | 0 | 0 | 3 | 1 | 0 | 0 | 26.0 | 20 | 17 | 15 | 0 | 32.5 | 11.5 | 10.00 | 31.5 | 3.50 | 1.00 | 28.57% | 5.00 | 0.00 | 100.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 22.00 | 13.00 | 22.00 | 8.00 | 15.50 | 8.00 | 33.3% | 7.7% | 93.8% | 101.5 | DULL |
10 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2.50 | 1.50 | 1.00 | 3 | 0.750 | 2.5 | 5.0 | 7.5 | 0 | 0 | 3 | 0 | 2 | 0 | 29.5 | 31 | 17 | 11 | 0 | 28.5 | 12.0 | 10.50 | 28.5 | 2.00 | 0.00 | 0.00% | 4.00 | 1.00 | 75.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 22.00 | 13.50 | 22.00 | 8.50 | 15.50 | 7.50 | 83.3% | 8.5% | 94.7% | 103.2 | DULL |
11 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6.00 | 5.00 | 1.00 | 2 | 1.000 | 6.0 | 11.0 | 17.0 | 0 | 0 | 1 | 2 | 2 | 1 | 33.0 | 6 | 11 | 12 | 4 | 30.0 | 10.0 | 17.00 | 24.0 | 3.00 | 2.00 | 66.67% | 8.00 | 4.00 | 50.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 22.00 | 12.00 | 22.00 | 8.00 | 16.00 | 8.00 | 80.0% | 18.2% | 83.3% | 101.5 | FUN |
12 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 3.50 | 5.00 | -1.50 | 2 | 0.500 | 3.5 | 5.5 | 9.0 | 0 | 0 | 1 | 3 | 2 | 2 | 32.5 | 17 | 29 | 19 | 3 | 38.0 | 8.5 | 15.00 | 26.0 | 4.50 | 2.00 | 44.44% | 5.00 | 2.50 | 50.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 21.50 | 13.00 | 25.00 | 8.00 | 15.00 | 7.50 | 37.5% | 10.8% | 86.8% | 97.6 | FUN |
13 | ![]() | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 3.00 | 2.33 | 0.67 | 4 | 0.667 | 3.0 | 5.7 | 8.7 | 0 | 0 | 2 | 3 | 3 | 1 | 32.0 | 31 | 27 | 37 | 1 | 28.7 | 11.0 | 11.67 | 23.7 | 2.67 | 1.00 | 37.50% | 3.33 | 1.00 | 70.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 22.67 | 14.00 | 21.00 | 8.33 | 16.67 | 8.33 | 60.0% | 9.4% | 91.9% | 101.2 | LUCKY |
14 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 6.00 | -4.00 | 0 | 0.000 | 2.0 | 3.0 | 5.0 | 0 | 0 | 1 | 1 | 0 | 0 | 36.0 | 10 | 14 | 12 | 0 | 33.0 | 9.0 | 6.00 | 19.0 | 5.00 | 0.00 | 0.00% | 3.00 | 1.00 | 66.67% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 22.00 | 14.00 | 21.00 | 9.00 | 15.00 | 8.00 | 28.6% | 5.6% | 81.8% | 87.4 | Unlucky |
15 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3.00 | 3.00 | 0.00 | 2 | 0.500 | 3.0 | 5.5 | 8.5 | 0 | 0 | 1 | 1 | 3 | 1 | 32.5 | 15 | 27 | 21 | 2 | 26.0 | 11.5 | 15.00 | 28.5 | 2.50 | 0.00 | 0.00% | 2.50 | 0.50 | 80.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 22.50 | 13.50 | 21.50 | 8.50 | 16.50 | 8.00 | 54.5% | 9.2% | 88.5% | 97.7 | FUN |
16 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1.00 | 3.00 | -2.00 | 0 | 0.000 | 1.0 | 2.0 | 3.0 | 0 | 0 | 1 | 0 | 0 | 0 | 27.0 | 12 | 8 | 7 | 0 | 38.0 | 19.0 | 14.00 | 25.0 | 1.00 | 1.00 | 100.00% | 7.00 | 3.00 | 57.14% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 17.00 | 9.00 | 26.00 | 9.00 | 16.00 | 7.00 | nan% | 3.7% | 92.1% | 95.8 | DULL |
17 | ![]() | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4.00 | 4.33 | -0.33 | 2 | 0.333 | 4.0 | 7.3 | 11.3 | 0 | 0 | 2 | 8 | 2 | 0 | 24.7 | 22 | 29 | 23 | 0 | 35.3 | 12.7 | 20.00 | 21.0 | 2.67 | 0.33 | 12.50% | 6.67 | 2.67 | 60.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 19.33 | 11.33 | 25.00 | 9.00 | 15.33 | 7.33 | 68.8% | 16.2% | 87.7% | 104.0 | FUN |
18 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 5.50 | -4.00 | 0 | 0.000 | 1.5 | 2.5 | 4.0 | 0 | 0 | 1 | 2 | 0 | 0 | 33.0 | 25 | 15 | 26 | 0 | 33.5 | 9.5 | 17.00 | 23.0 | 3.00 | 0.00 | 0.00% | 6.00 | 1.50 | 75.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 22.00 | 13.50 | 22.50 | 8.50 | 15.00 | 7.00 | 27.3% | 4.5% | 83.6% | 88.1 | Unlucky |
19 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.00 | 3.00 | -2.00 | 0 | 0.000 | 1.0 | 2.0 | 3.0 | 0 | 0 | 0 | 2 | 0 | 0 | 26.5 | 20 | 15 | 18 | 0 | 34.0 | 15.5 | 18.00 | 25.0 | 3.00 | 0.50 | 16.67% | 6.50 | 0.50 | 92.31% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 20.50 | 11.50 | 23.50 | 9.00 | 15.00 | 7.00 | 16.7% | 3.8% | 91.2% | 95.0 | DULL |
20 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 3.00 | 0.50 | 2 | 0.500 | 3.5 | 7.0 | 10.5 | 0 | 0 | 6 | 0 | 1 | 0 | 32.5 | 32 | 18 | 15 | 0 | 36.5 | 14.0 | 9.50 | 17.0 | 4.00 | 1.00 | 25.00% | 3.50 | 0.00 | 100.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 23.50 | 16.00 | 22.00 | 7.50 | 13.50 | 6.50 | 45.5% | 10.8% | 91.8% | 102.6 | LUCKY |
21 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 1.00 | 1.50 | 2 | 0.500 | 2.5 | 4.5 | 7.0 | 0 | 1 | 2 | 2 | 1 | 0 | 22.5 | 19 | 15 | 11 | 0 | 31.0 | 10.0 | 7.00 | 19.0 | 4.50 | 0.00 | 0.00% | 3.50 | 0.00 | 100.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 19.00 | 11.00 | 25.00 | 9.00 | 15.00 | 7.00 | 71.4% | 11.1% | 96.8% | 107.9 | LUCKY |
22 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6.00 | 5.00 | 1.00 | 2 | 1.000 | 6.0 | 12.0 | 18.0 | 0 | 0 | 2 | 1 | 3 | 0 | 38.0 | 18 | 10 | 10 | 0 | 31.0 | 2.0 | 8.00 | 22.0 | 1.00 | 0.00 | 0.00% | 4.00 | 1.00 | 75.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 23.00 | 16.00 | 21.00 | 7.00 | 15.00 | 8.00 | 60.0% | 15.8% | 83.9% | 99.7 | FUN |
23 | ![]() | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 3.33 | 3.00 | 0.33 | 4 | 0.667 | 3.3 | 5.7 | 9.0 | 0 | 1 | 4 | 2 | 3 | 1 | 31.7 | 35 | 29 | 24 | 7 | 33.7 | 13.0 | 10.67 | 25.3 | 4.67 | 0.67 | 14.29% | 3.67 | 1.33 | 63.64% | 1 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 21.00 | 12.67 | 24.33 | 9.00 | 15.67 | 7.33 | 61.5% | 10.5% | 91.1% | 101.6 | Unlucky |
24 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 1.00 | 3.00 | 2 | 1.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 0 | 3 | 1 | 0 | 36.0 | 7 | 15 | 14 | 0 | 33.0 | 12.0 | 8.00 | 23.0 | 7.00 | 2.00 | 28.57% | 4.00 | 0.00 | 100.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 23.00 | 15.00 | 20.00 | 8.00 | 15.00 | 7.00 | 66.7% | 11.1% | 97.0% | 108.1 | LUCKY |
_Vs Division | 16 | 4 | 8 | 0 | 2 | 2 | 0 | 0 | 3.44 | 3.94 | -0.50 | 14 | 0.438 | 3.4 | 6.1 | 9.6 | 0 | 1 | 17 | 22 | 14 | 2 | 30.8 | 163 | 165 | 155 | 9 | 33.4 | 12.0 | 13.75 | 23.3 | 3.25 | 0.50 | 15.38% | 4.31 | 1.44 | 66.67% | 1 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 21.88 | 13.63 | 23.00 | 8.56 | 15.63 | 7.69 | 54.0% | 11.2% | 88.2% | 99.4 | FUN | |
_Vs Conference | 28 | 7 | 14 | 0 | 4 | 3 | 0 | 0 | 3.11 | 3.43 | -0.32 | 25 | 0.446 | 3.1 | 5.7 | 8.8 | 0 | 2 | 30 | 30 | 23 | 4 | 30.4 | 277 | 293 | 263 | 17 | 32.4 | 11.7 | 12.61 | 23.5 | 3.21 | 0.50 | 15.56% | 4.29 | 1.18 | 72.50% | 1 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 21.75 | 13.39 | 23.11 | 8.57 | 15.61 | 7.71 | 53.7% | 10.2% | 89.4% | 99.7 | FUN | |
_Since Last GM Reset | 48 | 16 | 23 | 0 | 4 | 4 | 1 | 0 | 3.21 | 3.35 | -0.15 | 46 | 0.479 | 3.2 | 5.9 | 9.1 | 0 | 2 | 56 | 51 | 42 | 6 | 31.1 | 520 | 496 | 461 | 20 | 32.9 | 11.8 | 13.29 | 23.0 | 3.40 | 0.65 | 19.02% | 4.50 | 1.10 | 75.46% | 2 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 21.96 | 13.67 | 23.06 | 8.46 | 15.38 | 7.56 | 53.2% | 10.3% | 89.8% | 100.1 | FUN | |
Total | 48 | 16 | 23 | 0 | 4 | 4 | 1 | 0 | 3.21 | 3.35 | -0.15 | 46 | 0.479 | 3.2 | 5.9 | 9.1 | 0 | 2 | 56 | 51 | 42 | 6 | 31.1 | 520 | 496 | 461 | 20 | 32.9 | 11.8 | 13.29 | 23.0 | 3.40 | 0.65 | 19.02% | 4.50 | 1.10 | 75.46% | 2 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 21.96 | 13.67 | 23.06 | 8.46 | 15.38 | 7.56 | 53.2% | 10.3% | 89.8% | 100.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 15 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 960 |
Neutral Zone Start | 649 |
Defensive Zone Start | 1085 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1380 |
Faceoffs Lost | 1314 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.8 | 9.57 |
2nd Period | 21.2 | 20.31 |
3rd Period | 30.8 | 30.68 |
Overtime | 31.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 121 |
---|---|
PP Goal | 31 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 12 | 9 |
Lost | 12 | 11 |
Overtime Lost | 1 | 3 |
PP Attempt | 163 |
---|---|
PP Goal | 31 |
PK Attempt | 216 |
PK Goal Against | 53 |
Home | |
---|---|
Shots For | 31.1 |
Shots Against | 32.9 |
Goals For | 3.2 |
Goals Against | 3.4 |
Hits | 23.0 |
Shots Blocked | 11.8 |
Pim | 13.3 |
![]() | |
Total Salaries | 83,213,673$ |
Projected Total Cap Hit | 79,507,181$ |
Projected Cap Space | 1,992,819$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 42,030,360$ |
Players Signed (45 – 60) | 53 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 17 |
LTIR Players | 0 |
Slapshots Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Blake Wheeler | C/RW | 35 | 4,600,000$ | 2,012,500$ | 4,600,000$ | UFA | ||||||
Brady Skjei | D | 28 | 5,250,000$ | 2,296,875$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | ||||
Brady Tkachuk | LW | 22 | 8,330,673$ | 3,644,670$ | 8,330,674$ | 8,330,674$ | 8,330,674$ | 8,330,674$ | 8,330,674$ | 8,330,674$ | 8,330,674$ | UFA |
Brett Howden | C | 24 | 863,333$ | 377,708$ | 863,333$ | RFA | ||||||
Cal Clutterbuck | RW | 34 | 1,750,000$ | 765,625$ | 1,750,000$ | UFA | ||||||
David Perron | LW/RW | 34 | 4,450,000$ | 1,946,875$ | 4,450,000$ | UFA | ||||||
James Reimer | G | 34 | 2,500,000$ | 1,093,750$ | 2,500,000$ | UFA | ||||||
Jonathan Huberdeau | LW | 29 | 5,900,000$ | 2,581,250$ | 5,900,000$ | UFA | ||||||
Kris Letang | D | 35 | 9,375,000$ | 4,101,562$ | 9,375,000$ | UFA | ||||||
Logan Couture | C | 33 | 10,100,000$ | 4,418,750$ | 10,100,000$ | UFA | ||||||
Matt Murray | G | 28 | 3,750,000$ | 1,640,625$ | 3,750,000$ | UFA | ||||||
Matt Roy | D | 27 | 3,150,000$ | 1,378,125$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | ||||
Patrick Brown | C/RW | 30 | 450,000$ | 196,875$ | 450,000$ | 450,000$ | UFA | |||||
Radko Gudas | D | 32 | 2,500,000$ | 1,093,750$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Robert Thomas | C/RW | 22 | 2,800,000$ | 1,225,000$ | 2,800,000$ | 2,800,000$ | RFA | |||||
Shayne Gostisbehere | D | 29 | 2,500,000$ | 1,093,750$ | 2,500,000$ | UFA | ||||||
Taylor Hall | LW | 30 | 5,000,000$ | 2,187,500$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Tyler Motte | C/LW/RW | 27 | 2,000,000$ | 875,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Tyson Barrie | D | 30 | 2,900,000$ | 1,268,750$ | 2,900,000$ | UFA | ||||||
Valeri Nichushkin | RW | 27 | 850,000$ | 371,875$ | 850,000$ | UFA | ||||||
Vinnie Hinostroza | C/RW | 28 | 525,000$ | 229,688$ | 525,000$ | 525,000$ | UFA | |||||
Zemgus Girgensons | C/LW/RW | 28 | 1,750,000$ | 765,625$ | 1,750,000$ | 1,750,000$ | UFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Aidan Dudas | C | 22 | 786,667$ | 34,417$ | 78,667$ | 78,667$ | RFA | |||||
Anders Bjork | LW/RW | 25 | 800,000$ | 35,000$ | 80,000$ | 80,000$ | 80,000$ | UFA | ||||
Andrej Sustr | D | 31 | 450,000$ | 19,688$ | 45,000$ | 45,000$ | UFA | |||||
Austin Czarnik | C/RW | 29 | 450,000$ | 19,688$ | 45,000$ | 45,000$ | UFA | |||||
Calvin Pickard | G | 30 | 450,000$ | 19,688$ | 45,000$ | 45,000$ | UFA | |||||
Colton White | D | 25 | 750,000$ | 32,813$ | 75,000$ | RFA | ||||||
Daniel Ljungman | C/RW | 20 | 475,000$ | 20,781$ | 47,500$ | RFA | ||||||
Darren Helm | C/LW | 35 | 500,000$ | 21,875$ | 50,000$ | 50,000$ | UFA | |||||
David Savard | D | 31 | 1,750,000$ | 76,563$ | 175,000$ | UFA | ||||||
Dillon Hamaliuk | LW | 21 | 625,000$ | 27,344$ | 62,500$ | RFA | ||||||
Dominik Simon | C/LW/RW | 27 | 450,000$ | 19,688$ | 45,000$ | 45,000$ | 45,000$ | UFA | ||||
Dylan Peterson | C | 20 | 625,000$ | 27,344$ | 62,500$ | 62,500$ | RFA | |||||
Filip Barklund | C/LW | 19 | 450,000$ | 19,688$ | 45,000$ | RFA | ||||||
Frederic Allard | D | 24 | 750,000$ | 32,813$ | 75,000$ | RFA | ||||||
Hunter Miska | G | 26 | 725,000$ | 31,719$ | 72,500$ | RFA | ||||||
Kody Clark | RW | 22 | 808,333$ | 35,365$ | 80,833$ | 80,833$ | RFA | |||||
Lukas Parik | G | 21 | 550,000$ | 24,063$ | 55,000$ | RFA | ||||||
Mason Primeau | C | 20 | 475,000$ | 20,781$ | 47,500$ | RFA | ||||||
Matt Kessel | D | 22 | 500,000$ | 21,875$ | 50,000$ | RFA | ||||||
Noah Beck | D | 21 | 450,000$ | 19,688$ | 45,000$ | RFA | ||||||
Riley Nash | C/RW | 33 | 450,000$ | 19,688$ | 45,000$ | UFA | ||||||
Ryan Poehling | C | 23 | 750,000$ | 32,813$ | 75,000$ | 75,000$ | RFA | |||||
Samuel Morin | LW/D | 26 | 750,000$ | 32,813$ | 75,000$ | RFA | ||||||
Samuel Sjolund | D | 21 | 500,000$ | 21,875$ | 50,000$ | RFA | ||||||
Tanner Dickinson | C | 20 | 550,000$ | 24,063$ | 55,000$ | RFA | ||||||
Ty Ronning | RW | 24 | 750,000$ | 32,813$ | 75,000$ | RFA | ||||||
Tyler Tucker | D | 22 | 808,333$ | 35,365$ | 80,833$ | 80,833$ | RFA | |||||
Victor Berglund | D | 22 | 818,333$ | 35,802$ | 81,833$ | 81,833$ | RFA | |||||
Will Cranley | G | 20 | 475,000$ | 20,781$ | 47,500$ | RFA | ||||||
William Carrier | LW | 27 | 1,450,000$ | 63,438$ | 145,000$ | UFA | ||||||
William Francis | D | 21 | 450,000$ | 19,688$ | 45,000$ | 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 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1.50 | 2.50 | -1.00 | 1 | 0.250 | 1.5 | 3.0 | 4.5 | 0 | 0 | 3 | 0 | 0 | 0 | 36.0 | 26 | 25 | 19 | 2 | 36.0 | 11.0 | 8.00 | 19.0 | 2.50 | 0.50 | 20.00% | 4.00 | 1.50 | 62.50% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 21.50 | 13.50 | 24.50 | 8.50 | 14.50 | 7.00 | 50.0% | 4.2% | 93.1% | 97.2 | DULL |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 4.00 | 1.00 | 2 | 1.000 | 5.0 | 9.0 | 14.0 | 0 | 0 | 1 | 2 | 2 | 0 | 36.0 | 9 | 13 | 14 | 0 | 40.0 | 14.0 | 6.00 | 24.0 | 2.00 | 2.00 | 100.00% | 3.00 | 1.00 | 66.67% | 1 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 20.00 | 13.00 | 25.00 | 6.00 | 13.00 | 6.00 | 50.0% | 13.9% | 90.0% | 103.9 | FUN |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 4.00 | -1.00 | 0 | 0.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 1 | 1 | 1 | 0 | 33.0 | 12 | 14 | 7 | 0 | 31.0 | 18.0 | 10.00 | 17.0 | 3.00 | 1.00 | 33.33% | 6.00 | 1.00 | 83.33% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 23.00 | 16.00 | 23.00 | 7.00 | 13.00 | 6.00 | 40.0% | 9.1% | 87.1% | 96.2 | FUN |
4 | ![]() | 5 | 1 | 2 | 0 | 0 | 2 | 0 | 0 | 3.40 | 4.20 | -0.80 | 4 | 0.400 | 3.4 | 6.0 | 9.4 | 0 | 0 | 7 | 7 | 3 | 0 | 32.6 | 53 | 59 | 50 | 1 | 33.8 | 12.2 | 15.20 | 23.0 | 3.20 | 0.40 | 12.50% | 4.40 | 1.20 | 72.73% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 23.40 | 15.20 | 22.00 | 8.00 | 15.20 | 7.40 | 50.0% | 10.4% | 87.6% | 98.0 | FUN |
5 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5.00 | 7.00 | -2.00 | 0 | 0.000 | 5.0 | 9.0 | 14.0 | 0 | 0 | 1 | 1 | 3 | 0 | 28.0 | 12 | 7 | 9 | 0 | 39.0 | 12.0 | 11.00 | 29.0 | 1.00 | 0.00 | 0.00% | 3.00 | 1.00 | 66.67% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 20.00 | 12.00 | 24.00 | 8.00 | 15.00 | 8.00 | 45.5% | 17.9% | 82.1% | 99.9 | FUN |
6 | ![]() | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 6.33 | 2.00 | 4.33 | 6 | 1.000 | 6.3 | 11.0 | 17.3 | 0 | 0 | 7 | 5 | 7 | 0 | 36.0 | 34 | 27 | 47 | 0 | 31.3 | 11.7 | 19.00 | 18.0 | 6.33 | 1.33 | 21.05% | 5.33 | 0.33 | 93.75% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 25.00 | 16.67 | 20.67 | 7.67 | 13.67 | 7.33 | 75.0% | 17.6% | 93.6% | 111.2 | LUCKY |
7 | ![]() | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 2.67 | 3.67 | -1.00 | 2 | 0.333 | 2.7 | 5.3 | 8.0 | 0 | 0 | 3 | 2 | 3 | 0 | 30.3 | 28 | 33 | 30 | 0 | 30.7 | 12.3 | 12.00 | 22.0 | 3.00 | 0.33 | 11.11% | 4.33 | 0.67 | 84.62% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 21.67 | 13.00 | 23.00 | 8.33 | 15.00 | 7.33 | 43.8% | 8.8% | 88.0% | 96.8 | Unlucky |
8 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 3.00 | -0.50 | 2 | 0.500 | 2.5 | 4.5 | 7.0 | 0 | 0 | 3 | 2 | 0 | 0 | 29.0 | 26 | 22 | 10 | 0 | 32.5 | 10.0 | 21.00 | 21.0 | 3.50 | 0.00 | 0.00% | 3.00 | 1.00 | 66.67% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 18.50 | 11.00 | 24.50 | 9.00 | 16.50 | 7.50 | 55.6% | 8.6% | 90.8% | 99.4 | Unlucky |
9 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 2.00 | 0.00 | 2 | 0.500 | 2.0 | 4.0 | 6.0 | 0 | 0 | 3 | 1 | 0 | 0 | 26.0 | 20 | 17 | 15 | 0 | 32.5 | 11.5 | 10.00 | 31.5 | 3.50 | 1.00 | 28.57% | 5.00 | 0.00 | 100.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 22.00 | 13.00 | 22.00 | 8.00 | 15.50 | 8.00 | 33.3% | 7.7% | 93.8% | 101.5 | DULL |
10 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2.50 | 1.50 | 1.00 | 3 | 0.750 | 2.5 | 5.0 | 7.5 | 0 | 0 | 3 | 0 | 2 | 0 | 29.5 | 31 | 17 | 11 | 0 | 28.5 | 12.0 | 10.50 | 28.5 | 2.00 | 0.00 | 0.00% | 4.00 | 1.00 | 75.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 22.00 | 13.50 | 22.00 | 8.50 | 15.50 | 7.50 | 83.3% | 8.5% | 94.7% | 103.2 | DULL |
11 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6.00 | 5.00 | 1.00 | 2 | 1.000 | 6.0 | 11.0 | 17.0 | 0 | 0 | 1 | 2 | 2 | 1 | 33.0 | 6 | 11 | 12 | 4 | 30.0 | 10.0 | 17.00 | 24.0 | 3.00 | 2.00 | 66.67% | 8.00 | 4.00 | 50.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 22.00 | 12.00 | 22.00 | 8.00 | 16.00 | 8.00 | 80.0% | 18.2% | 83.3% | 101.5 | FUN |
12 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 3.50 | 5.00 | -1.50 | 2 | 0.500 | 3.5 | 5.5 | 9.0 | 0 | 0 | 1 | 3 | 2 | 2 | 32.5 | 17 | 29 | 19 | 3 | 38.0 | 8.5 | 15.00 | 26.0 | 4.50 | 2.00 | 44.44% | 5.00 | 2.50 | 50.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 21.50 | 13.00 | 25.00 | 8.00 | 15.00 | 7.50 | 37.5% | 10.8% | 86.8% | 97.6 | FUN |
13 | ![]() | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 3.00 | 2.33 | 0.67 | 4 | 0.667 | 3.0 | 5.7 | 8.7 | 0 | 0 | 2 | 3 | 3 | 1 | 32.0 | 31 | 27 | 37 | 1 | 28.7 | 11.0 | 11.67 | 23.7 | 2.67 | 1.00 | 37.50% | 3.33 | 1.00 | 70.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 22.67 | 14.00 | 21.00 | 8.33 | 16.67 | 8.33 | 60.0% | 9.4% | 91.9% | 101.2 | LUCKY |
14 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 6.00 | -4.00 | 0 | 0.000 | 2.0 | 3.0 | 5.0 | 0 | 0 | 1 | 1 | 0 | 0 | 36.0 | 10 | 14 | 12 | 0 | 33.0 | 9.0 | 6.00 | 19.0 | 5.00 | 0.00 | 0.00% | 3.00 | 1.00 | 66.67% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 22.00 | 14.00 | 21.00 | 9.00 | 15.00 | 8.00 | 28.6% | 5.6% | 81.8% | 87.4 | Unlucky |
15 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3.00 | 3.00 | 0.00 | 2 | 0.500 | 3.0 | 5.5 | 8.5 | 0 | 0 | 1 | 1 | 3 | 1 | 32.5 | 15 | 27 | 21 | 2 | 26.0 | 11.5 | 15.00 | 28.5 | 2.50 | 0.00 | 0.00% | 2.50 | 0.50 | 80.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 22.50 | 13.50 | 21.50 | 8.50 | 16.50 | 8.00 | 54.5% | 9.2% | 88.5% | 97.7 | FUN |
16 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1.00 | 3.00 | -2.00 | 0 | 0.000 | 1.0 | 2.0 | 3.0 | 0 | 0 | 1 | 0 | 0 | 0 | 27.0 | 12 | 8 | 7 | 0 | 38.0 | 19.0 | 14.00 | 25.0 | 1.00 | 1.00 | 100.00% | 7.00 | 3.00 | 57.14% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 17.00 | 9.00 | 26.00 | 9.00 | 16.00 | 7.00 | nan% | 3.7% | 92.1% | 95.8 | DULL |
17 | ![]() | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4.00 | 4.33 | -0.33 | 2 | 0.333 | 4.0 | 7.3 | 11.3 | 0 | 0 | 2 | 8 | 2 | 0 | 24.7 | 22 | 29 | 23 | 0 | 35.3 | 12.7 | 20.00 | 21.0 | 2.67 | 0.33 | 12.50% | 6.67 | 2.67 | 60.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 19.33 | 11.33 | 25.00 | 9.00 | 15.33 | 7.33 | 68.8% | 16.2% | 87.7% | 104.0 | FUN |
18 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 5.50 | -4.00 | 0 | 0.000 | 1.5 | 2.5 | 4.0 | 0 | 0 | 1 | 2 | 0 | 0 | 33.0 | 25 | 15 | 26 | 0 | 33.5 | 9.5 | 17.00 | 23.0 | 3.00 | 0.00 | 0.00% | 6.00 | 1.50 | 75.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 22.00 | 13.50 | 22.50 | 8.50 | 15.00 | 7.00 | 27.3% | 4.5% | 83.6% | 88.1 | Unlucky |
19 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.00 | 3.00 | -2.00 | 0 | 0.000 | 1.0 | 2.0 | 3.0 | 0 | 0 | 0 | 2 | 0 | 0 | 26.5 | 20 | 15 | 18 | 0 | 34.0 | 15.5 | 18.00 | 25.0 | 3.00 | 0.50 | 16.67% | 6.50 | 0.50 | 92.31% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 20.50 | 11.50 | 23.50 | 9.00 | 15.00 | 7.00 | 16.7% | 3.8% | 91.2% | 95.0 | DULL |
20 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 3.00 | 0.50 | 2 | 0.500 | 3.5 | 7.0 | 10.5 | 0 | 0 | 6 | 0 | 1 | 0 | 32.5 | 32 | 18 | 15 | 0 | 36.5 | 14.0 | 9.50 | 17.0 | 4.00 | 1.00 | 25.00% | 3.50 | 0.00 | 100.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 23.50 | 16.00 | 22.00 | 7.50 | 13.50 | 6.50 | 45.5% | 10.8% | 91.8% | 102.6 | LUCKY |
21 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 1.00 | 1.50 | 2 | 0.500 | 2.5 | 4.5 | 7.0 | 0 | 1 | 2 | 2 | 1 | 0 | 22.5 | 19 | 15 | 11 | 0 | 31.0 | 10.0 | 7.00 | 19.0 | 4.50 | 0.00 | 0.00% | 3.50 | 0.00 | 100.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 19.00 | 11.00 | 25.00 | 9.00 | 15.00 | 7.00 | 71.4% | 11.1% | 96.8% | 107.9 | LUCKY |
22 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6.00 | 5.00 | 1.00 | 2 | 1.000 | 6.0 | 12.0 | 18.0 | 0 | 0 | 2 | 1 | 3 | 0 | 38.0 | 18 | 10 | 10 | 0 | 31.0 | 2.0 | 8.00 | 22.0 | 1.00 | 0.00 | 0.00% | 4.00 | 1.00 | 75.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 23.00 | 16.00 | 21.00 | 7.00 | 15.00 | 8.00 | 60.0% | 15.8% | 83.9% | 99.7 | FUN |
23 | ![]() | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 3.33 | 3.00 | 0.33 | 4 | 0.667 | 3.3 | 5.7 | 9.0 | 0 | 1 | 4 | 2 | 3 | 1 | 31.7 | 35 | 29 | 24 | 7 | 33.7 | 13.0 | 10.67 | 25.3 | 4.67 | 0.67 | 14.29% | 3.67 | 1.33 | 63.64% | 1 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 21.00 | 12.67 | 24.33 | 9.00 | 15.67 | 7.33 | 61.5% | 10.5% | 91.1% | 101.6 | Unlucky |
24 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 1.00 | 3.00 | 2 | 1.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 0 | 3 | 1 | 0 | 36.0 | 7 | 15 | 14 | 0 | 33.0 | 12.0 | 8.00 | 23.0 | 7.00 | 2.00 | 28.57% | 4.00 | 0.00 | 100.00% | 0 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 23.00 | 15.00 | 20.00 | 8.00 | 15.00 | 7.00 | 66.7% | 11.1% | 97.0% | 108.1 | LUCKY |
_Vs Division | 16 | 4 | 8 | 0 | 2 | 2 | 0 | 0 | 3.44 | 3.94 | -0.50 | 14 | 0.438 | 3.4 | 6.1 | 9.6 | 0 | 1 | 17 | 22 | 14 | 2 | 30.8 | 163 | 165 | 155 | 9 | 33.4 | 12.0 | 13.75 | 23.3 | 3.25 | 0.50 | 15.38% | 4.31 | 1.44 | 66.67% | 1 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 21.88 | 13.63 | 23.00 | 8.56 | 15.63 | 7.69 | 54.0% | 11.2% | 88.2% | 99.4 | FUN | |
_Vs Conference | 28 | 7 | 14 | 0 | 4 | 3 | 0 | 0 | 3.11 | 3.43 | -0.32 | 25 | 0.446 | 3.1 | 5.7 | 8.8 | 0 | 2 | 30 | 30 | 23 | 4 | 30.4 | 277 | 293 | 263 | 17 | 32.4 | 11.7 | 12.61 | 23.5 | 3.21 | 0.50 | 15.56% | 4.29 | 1.18 | 72.50% | 1 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 21.75 | 13.39 | 23.11 | 8.57 | 15.61 | 7.71 | 53.7% | 10.2% | 89.4% | 99.7 | FUN | |
_Since Last GM Reset | 48 | 16 | 23 | 0 | 4 | 4 | 1 | 0 | 3.21 | 3.35 | -0.15 | 46 | 0.479 | 3.2 | 5.9 | 9.1 | 0 | 2 | 56 | 51 | 42 | 6 | 31.1 | 520 | 496 | 461 | 20 | 32.9 | 11.8 | 13.29 | 23.0 | 3.40 | 0.65 | 19.02% | 4.50 | 1.10 | 75.46% | 2 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 21.96 | 13.67 | 23.06 | 8.46 | 15.38 | 7.56 | 53.2% | 10.3% | 89.8% | 100.1 | FUN | |
Total | 48 | 16 | 23 | 0 | 4 | 4 | 1 | 0 | 3.21 | 3.35 | -0.15 | 46 | 0.479 | 3.2 | 5.9 | 9.1 | 0 | 2 | 56 | 51 | 42 | 6 | 31.1 | 520 | 496 | 461 | 20 | 32.9 | 11.8 | 13.29 | 23.0 | 3.40 | 0.65 | 19.02% | 4.50 | 1.10 | 75.46% | 2 | 492 | 960 | 51.25% | 552 | 1085 | 50.88% | 336 | 649 | 51.77% | 21.96 | 13.67 | 23.06 | 8.46 | 15.38 | 7.56 | 53.2% | 10.3% | 89.8% | 100.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 15 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 960 |
Neutral Zone Start | 649 |
Defensive Zone Start | 1085 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1380 |
Faceoffs Lost | 1314 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.8 | 9.57 |
2nd Period | 21.2 | 20.31 |
3rd Period | 30.8 | 30.68 |
Overtime | 31.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 121 |
---|---|
PP Goal | 31 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 12 | 9 |
Lost | 12 | 11 |
Overtime Lost | 1 | 3 |
PP Attempt | 163 |
---|---|
PP Goal | 31 |
PK Attempt | 216 |
PK Goal Against | 53 |
Home | |
---|---|
Shots For | 31.1 |
Shots Against | 32.9 |
Goals For | 3.2 |
Goals Against | 3.4 |
Hits | 23.0 |
Shots Blocked | 11.8 |
Pim | 13.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tue, Mar 21 | ![]() | @ | ![]() | MOU7,SLA5 | RECAP | |||||||||
Fri, Mar 24 | ![]() | @ | ![]() | MAV2,SLA6 | RECAP | |||||||||
Sun, Mar 26 | ![]() | @ | ![]() | SLA6,CRU4 | RECAP | |||||||||
Tue, Mar 28 | ![]() | @ | ![]() | RIN7,SLA4 | RECAP | |||||||||
Thu, Mar 30 | ![]() | @ | ![]() | SLA2,LYN5 | RECAP | |||||||||
Sat, Apr 1 | ![]() | @ | ![]() | SLA3,GWS1 | RECAP | |||||||||
Mon, Apr 3 | ![]() | @ | ![]() | RIN2,SLA3 (OT) | RECAP | |||||||||
Tue, Apr 4 | ![]() | @ | ![]() | HIT5,SLA6 | RECAP | |||||||||
Thu, Apr 6 | ![]() | @ | ![]() | SLA4,LYN5 (OT) | RECAP | |||||||||
Sun, Apr 9 | ![]() | @ | ![]() | SLA3,TRA2 | RECAP | |||||||||
Tue, Apr 11 | ![]() | @ | ![]() | SLA4,ROC3 (SO) | RECAP | |||||||||
Wed, Apr 12 | ![]() | @ | ![]() | CRU5,SLA4 | RECAP | |||||||||
Sun, Apr 16 | ![]() | @ | ![]() | MAV2,SLA6 | RECAP | |||||||||
Tue, Apr 18 | ![]() | @ | ![]() | SLA3,GWS2 (OT) | RECAP | |||||||||
Wed, Apr 19 | ![]() | @ | ![]() | MUS3,SLA4 | RECAP | |||||||||
Sat, Apr 22 | ![]() | @ | ![]() | SLA2,JAG6 | RECAP | |||||||||
Sun, Apr 23 | ![]() | @ | ![]() | AVG4,SLA3 | RECAP | |||||||||
Tue, Apr 25 | ![]() | @ | ![]() | SLA3,GWS4 | RECAP | |||||||||
Sat, Apr 29 | ![]() | @ | ![]() | MUS4,SLA1 | RECAP | |||||||||
Tue, May 2 | ![]() | @ | ![]() | SLA1,KNI3 | RECAP | |||||||||
Fri, May 5 | ![]() | @ | ![]() | SLA3,DRA4 | RECAP | |||||||||
Sun, May 7 | ![]() | @ | ![]() | STO2,SLA4 | RECAP | |||||||||
Tue, May 9 | ![]() | @ | ![]() | GRI4,SLA1 | RECAP | |||||||||
Wed, May 10 | ![]() | @ | ![]() | SLA1,STO4 | RECAP | |||||||||
Sat, May 13 | ![]() | @ | ![]() | WOL4,SLA5 | RECAP | |||||||||
Wed, May 17 | ![]() | @ | ![]() | TRA2,SLA1 | RECAP | |||||||||
Sun, May 21 | ![]() | @ | ![]() | SLA1,GRI2 | RECAP | |||||||||
Mon, May 22 | ![]() | @ | ![]() | CRU4,SLA2 | RECAP | |||||||||
Wed, May 24 | ![]() | @ | ![]() | SLA2,LYN3 (OT) | RECAP | |||||||||
Fri, May 26 | ![]() | @ | ![]() | BUT4,SLA2 | RECAP | |||||||||
Mon, May 29 | ![]() | @ | ![]() | BIS5,SLA6 (OT) | RECAP | |||||||||
Wed, May 31 | ![]() | @ | ![]() | SLA1,BUT7 | RECAP | |||||||||
Fri, Jun 2 | ![]() | @ | ![]() | SLA4,BFT0 | RECAP | |||||||||
Sat, Jun 3 | ![]() | @ | ![]() | SLA3,ROC7 | RECAP | |||||||||
Mon, Jun 5 | ![]() | @ | ![]() | BRA2,SLA1 (OT) | RECAP | |||||||||
Wed, Jun 7 | ![]() | @ | ![]() | RIN0,SLA3 | RECAP | |||||||||
Sat, Jun 10 | ![]() | @ | ![]() | SLA4,AVG2 | RECAP | |||||||||
Mon, Jun 12 | ![]() | @ | ![]() | LYN5,SLA3 | RECAP | |||||||||
Wed, Jun 14 | ![]() | @ | ![]() | SLA3,MUS4 | RECAP | |||||||||
Fri, Jun 16 | ![]() | @ | ![]() | SLA4,BRA1 | RECAP | |||||||||
Sat, Jun 17 | ![]() | @ | ![]() | DRA2,SLA3 (OT) | RECAP | |||||||||
Tue, Jun 20 | ![]() | @ | ![]() | THU4,SLA3 | RECAP | |||||||||
Thu, Jun 22 | ![]() | @ | ![]() | SLA1,REV2 | RECAP | |||||||||
Sat, Jun 24 | ![]() | @ | ![]() | BFT2,SLA1 | RECAP | |||||||||
Sun, Jun 25 | ![]() | @ | ![]() | SLA4,TIT1 | RECAP | |||||||||
Tue, Jun 27 | ![]() | @ | ![]() | MAV2,SLA7 | RECAP | |||||||||
Thu, Jun 29 | ![]() | @ | ![]() | SLA2,REV3 (OT) | RECAP | |||||||||
Sat, Jul 1 | ![]() | @ | ![]() | LYN3,SLA6 | RECAP | |||||||||
Mon, Jul 3 | ![]() | @ | ![]() | |||||||||||
Thu, Jul 6 | ![]() | @ | ![]() | |||||||||||
Fri, Jul 7 | ![]() | @ | ![]() | |||||||||||
Sun, Jul 9 | ![]() | @ | ![]() | |||||||||||
Mon, Jul 10 | ![]() | @ | ![]() | |||||||||||
Fri, Jul 14 | ![]() | @ | ![]() | |||||||||||
Mon, Jul 17 | ![]() | @ | ![]() | |||||||||||
Tue, Jul 18 | ![]() | @ | ![]() | |||||||||||
Sat, Jul 22 | ![]() | @ | ![]() | |||||||||||
Wed, Jul 26 | ![]() | @ | ![]() | |||||||||||
Sat, Jul 29 | ![]() | @ | ![]() | |||||||||||
Mon, Jul 31 | ![]() | @ | ![]() | |||||||||||
Wed, Aug 2 | ![]() | @ | ![]() | |||||||||||
Thu, Aug 3 | ![]() | @ | ![]() | |||||||||||
Sat, Aug 5 | ![]() | @ | ![]() | |||||||||||
Mon, Aug 7 | ![]() | @ | ![]() | |||||||||||
Wed, Aug 9 | ![]() | @ | ![]() | |||||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
Fri, Aug 11 | ![]() | @ | ![]() | |||||||||||
Sun, Aug 13 | ![]() | @ | ![]() | |||||||||||
Wed, Aug 16 | ![]() | @ | ![]() | |||||||||||
Thu, Aug 17 | ![]() | @ | ![]() | |||||||||||
Tue, Aug 22 | ![]() | @ | ![]() | |||||||||||
Thu, Aug 24 | ![]() | @ | ![]() | |||||||||||
Sun, Aug 27 | ![]() | @ | ![]() | |||||||||||
Tue, Aug 29 | ![]() | @ | ![]() | |||||||||||
Thu, Aug 31 | ![]() | @ | ![]() | |||||||||||
Tue, Sep 5 | ![]() | @ | ![]() | |||||||||||
Sat, Sep 9 | ![]() | @ | ![]() | |||||||||||
Wed, Sep 13 | ![]() | @ | ![]() | |||||||||||
Fri, Sep 15 | ![]() | @ | ![]() | |||||||||||
Sat, Sep 16 | ![]() | @ | ![]() | |||||||||||
Mon, Sep 18 | ![]() | @ | ![]() | |||||||||||
Tue, Sep 19 | ![]() | @ | ![]() | |||||||||||
Thu, Sep 21 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,294,007$ | 0$ | 79,507,181$ | 1,992,819$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Minnesota | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 20$ | 200$ |
Attendance | 119224 | 98889 | 38906 | 76837 | 19658 |
Attendance PCT | 79.48% | 79.11% | 77.81% | 76.84% | 78.63% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
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![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
16 | 14141 - 78.56% | 987,432$ | 24,685,790$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,294,007$ | 81,294,006$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
42,326,580$ | 423,406$ | 42,030,360$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
15,798,906$ | 84 | 423,406$ | 35,566,104$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
36,405,936$ | 79,507,181$ | 150,606,552$ | 131,118,789$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
---|---|---|---|---|---|---|---|
2023 | ![]() | ![]() ![]() ![]() | ![]() ![]() | ![]() ![]() | |||
2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ||
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Angus Booth | ![]() | 2022 | 133 | ||
Ben MacDonald | ![]() | 2022 | 107 | ||
Connor Lockhart | ![]() | 2021 | 192 | ||
Devin Kaplan | ![]() | 2022 | 77 | ||
George Fegaras | ![]() | 2022 | 101 | ||
Guillaume Richard | ![]() | 2021 | 108 | ||
Ilya Safonov | ![]() | 2021 | 189 | ||
Josh Pillar | ![]() | 2021 | 136 | ||
Michael Callow | ![]() | 2022 | 172 | ||
Michael Milne | ![]() | 2022 | 105 | ||
Nolan Collins | ![]() | 2022 | 185 | ||
Tyson Hinds | ![]() | 2021 | 80 |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
---|---|---|---|---|---|---|---|
2023 | ![]() | ![]() ![]() ![]() | ![]() ![]() | ![]() ![]() | |||
2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ||
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Angus Booth | ![]() | 2022 | 133 | ||
Ben MacDonald | ![]() | 2022 | 107 | ||
Connor Lockhart | ![]() | 2021 | 192 | ||
Devin Kaplan | ![]() | 2022 | 77 | ||
George Fegaras | ![]() | 2022 | 101 | ||
Guillaume Richard | ![]() | 2021 | 108 | ||
Ilya Safonov | ![]() | 2021 | 189 | ||
Josh Pillar | ![]() | 2021 | 136 | ||
Michael Callow | ![]() | 2022 | 172 | ||
Michael Milne | ![]() | 2022 | 105 | ||
Nolan Collins | ![]() | 2022 | 185 | ||
Tyson Hinds | ![]() | 2021 | 80 |
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