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Full Scoreboard >> |
![]() | Burlington Thunder 34-12-3, 71pts · 2nd in Canadian 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 | C | 99.00 | 39 | 38 | 80 | 16 | 64 | 88 | 88 | 99 | 79 | 99 | 87 | 41 | 63 | 67 | 67 | 86 | 75 | 86 | 23 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 43 | 39 | 85 | 18 | 68 | 86 | 93 | 95 | 79 | 97 | 86 | 55 | 77 | 70 | 72 | 86 | 75 | 86 | 24 | 6,300,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 46 | 38 | 82 | 24 | 61 | 77 | 90 | 79 | 32 | 78 | 87 | 75 | 41 | 72 | 75 | 79 | 75 | 79 | 29 | 3,350,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 32 | 38 | 81 | 18 | 70 | 69 | 84 | 85 | 35 | 85 | 88 | 47 | 41 | 69 | 72 | 79 | 75 | 79 | 25 | 3,250,000$/1yrs | |||
![]() | 0 | C | 100.00 | 36 | 48 | 77 | 20 | 73 | 88 | 94 | 82 | 84 | 85 | 86 | 43 | 79 | 70 | 72 | 78 | 75 | 78 | 27 | 6,125,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 60 | 49 | 81 | 24 | 68 | 74 | 92 | 78 | 30 | 82 | 86 | 61 | 45 | 68 | 70 | 78 | 75 | 78 | 27 | 3,750,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 96 | 85 | 63 | 28 | 80 | 78 | 83 | 77 | 37 | 75 | 85 | 72 | 25 | 70 | 73 | 78 | 75 | 78 | 26 | 5,166,666$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 46 | 39 | 83 | 28 | 62 | 73 | 87 | 84 | 44 | 73 | 86 | 47 | 61 | 68 | 68 | 75 | 75 | 75 | 24 | 650,000$/2yrs | |||
![]() | 0 | C | 100.00 | 50 | 38 | 83 | 31 | 57 | 63 | 91 | 76 | 85 | 75 | 84 | 70 | 25 | 60 | 61 | 74 | 75 | 74 | 24 | 675,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 36 | 38 | 86 | 41 | 62 | 62 | 62 | 64 | 25 | 71 | 84 | 81 | 25 | 73 | 74 | 72 | 75 | 72 | 32 | 1,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 62 | 39 | 74 | 37 | 49 | 65 | 68 | 70 | 46 | 79 | 81 | 63 | 55 | 69 | 70 | 71 | 75 | 71 | 32 | 450,000$/1yrs | |||
![]() | 0 | C | 100.00 | 50 | 39 | 83 | 44 | 63 | 57 | 64 | 66 | 86 | 66 | 79 | 77 | 25 | 47 | 47 | 70 | 75 | 70 | 23 | 833,333$/1yrs | |||
![]() | 0 | D | 99.00 | 53 | 39 | 81 | 34 | 57 | 88 | 83 | 90 | 25 | 95 | 77 | 85 | 63 | 71 | 74 | 86 | 75 | 86 | 29 | 6,875,000$/3yrs | |||
![]() | 0 | D | 100.00 | 69 | 50 | 79 | 46 | 75 | 80 | 87 | 71 | 25 | 70 | 74 | 98 | 25 | 66 | 68 | 82 | 75 | 82 | 23 | 789,167$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 40 | 85 | 41 | 74 | 88 | 93 | 84 | 25 | 89 | 75 | 86 | 25 | 65 | 66 | 80 | 75 | 80 | 26 | 5,800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 62 | 50 | 76 | 44 | 74 | 81 | 90 | 81 | 25 | 82 | 78 | 65 | 25 | 66 | 67 | 72 | 75 | 72 | 26 | 5,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 50 | 76 | 51 | 73 | 72 | 77 | 75 | 25 | 80 | 76 | 74 | 25 | 58 | 59 | 72 | 75 | 72 | 23 | 863,333$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 59 | 40 | 82 | 45 | 63 | 65 | 80 | 60 | 91 | 71 | 79 | 81 | 25 | 80 | 83 | 70 | 75 | 70 | 35 | 2,250,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 66 | 41 | 69 | 44 | 78 | 54 | 64 | 68 | 49 | 81 | 73 | 61 | 57 | 85 | 89 | 67 | 75 | 67 | 36 | 1,500,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 64 | 40 | 83 | 51 | 57 | 67 | 61 | 75 | 72 | 79 | 75 | 72 | 25 | 71 | 74 | 67 | 75 | 67 | 32 | 875,000$/1yrs | |||
![]() | 0 | D | 48.29 | 62 | 58 | 73 | 38 | 76 | 80 | 90 | 86 | 25 | 88 | 79 | 71 | 75 | 62 | 64 | 79 | 75 | 79 | 22 | 894,166$/3yrs | |||
![]() | 0 | D | 89.12 | 43 | 46 | 83 | 39 | 50 | 83 | 93 | 88 | 25 | 93 | 75 | 61 | 25 | 62 | 63 | 75 | 75 | 75 | 22 | 728,333$/3yrs | |||
![]() | 0 | D | 100.00 | 69 | 40 | 85 | 48 | 67 | 68 | 67 | 77 | 25 | 76 | 75 | 70 | 25 | 58 | 59 | 70 | 75 | 70 | 28 | 450,000$/1yrs | |||
TEAM AVERAGE | 97.17 | 55 | 44 | 80 | 35 | 66 | 74 | 82 | 79 | 47 | 81 | 81 | 68 | 42 | 67 | 69 | 76 | 75 | 76 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 74 | 54 | 58 | 69 | 99 | 90 | 82 | 97 | 99 | 96 | 87 | 80 | 83 | 74 | 75 | 74 | 39 | 562,500$/1yrs |
![]() | 0 | 100.00 | 76 | 88 | 87 | 70 | 95 | 95 | 87 | 95 | 95 | 95 | 84 | 82 | 88 | 73 | 75 | 73 | 35 | 6,550,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 65 | 54 | 68 | 74 | 87 | 84 | 92 | 95 | 89 | 90 | 30 | 44 | 44 | 71 | 75 | 71 | 30 | 450,000$/1yrs |
TEAM AVERAGE | 100.00 | 72 | 65 | 71 | 71 | 94 | 90 | 87 | 96 | 94 | 94 | 67 | 69 | 72 | 73 | 75 | 73 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Ralph Krueger | 79 | 83 | 81 | 87 | 90 | 84 | 55 | CHE | 60 | 2 | 0$ |
General Manager | Bryan Bruce |
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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 | Connor McDavid | ![]() | 0 | C | 49 | 30 | 50 | 80 | 19 | 18 | 0 | 37 | 189 | 60 | 156 | 15.87% | 5 | 22.51 | 2 | 18 | 20 | 0 | 0 | 0 | 72 | 6 | 1 | 51.71% | 994 | 15 | 3 | 0 | 1 | 1.45 | 1 | 1 |
2 | Mark Scheifele | ![]() | 0 | C | 49 | 24 | 44 | 68 | 27 | 16 | 0 | 16 | 158 | 39 | 92 | 15.19% | 3 | 18.76 | 5 | 9 | 14 | 0 | 0 | 0 | 17 | 5 | 1 | 50.34% | 733 | 18 | 0 | 0 | 1 | 1.48 | 0 | 1 |
3 | Nathan MacKinnon | ![]() | 0 | C | 49 | 26 | 36 | 62 | 17 | 2 | 0 | 39 | 148 | 45 | 92 | 17.57% | 10 | 18.10 | 10 | 8 | 18 | 0 | 0 | 0 | 28 | 0 | 2 | 53.85% | 65 | 10 | 2 | 0 | 2 | 1.40 | 0 | 1 |
4 | Tanner Pearson | ![]() | 0 | LW | 49 | 21 | 33 | 54 | 29 | 18 | 0 | 116 | 110 | 47 | 65 | 19.09% | 11 | 18.24 | 3 | 7 | 10 | 0 | 0 | 0 | 1 | 3 | 1 | 28.57% | 42 | 17 | 4 | 0 | 1 | 1.21 | 0 | 1 |
5 | Andre Burakovsky | ![]() | 0 | LW/RW | 49 | 23 | 25 | 48 | 19 | 8 | 0 | 20 | 89 | 19 | 53 | 25.84% | 4 | 17.93 | 7 | 3 | 10 | 0 | 0 | 0 | 0 | 6 | 1 | 30.00% | 50 | 10 | 2 | 1 | 0 | 1.09 | 0 | 1 |
6 | Reilly Smith | ![]() | 0 | LW/RW | 45 | 23 | 22 | 45 | 31 | 14 | 0 | 43 | 118 | 35 | 58 | 19.49% | 24 | 18.45 | 3 | 1 | 4 | 0 | 0 | 0 | 11 | 4 | 1 | 22.22% | 36 | 12 | 8 | 0 | 0 | 1.08 | 0 | 0 |
7 | Brandon Carlo | ![]() | 0 | D | 49 | 8 | 27 | 35 | 30 | 26 | 0 | 136 | 92 | 38 | 41 | 8.70% | 127 | 24.78 | 0 | 2 | 2 | 0 | 1 | 1 | 101 | 2 | 2 | 0.00% | 0 | 2 | 27 | 0 | 0 | 0.58 | 0 | 0 |
8 | Ryan Ellis | ![]() | 0 | D | 45 | 3 | 25 | 28 | 7 | 8 | 0 | 72 | 73 | 38 | 44 | 4.11% | 102 | 22.84 | 2 | 4 | 6 | 0 | 0 | 0 | 80 | 1 | 1 | 0.00% | 0 | 9 | 29 | 0 | 0 | 0.54 | 0 | 0 |
9 | Samuel Girard | ![]() | 0 | D | 49 | 1 | 25 | 26 | 11 | 2 | 0 | 25 | 67 | 29 | 30 | 1.49% | 37 | 18.89 | 1 | 5 | 6 | 0 | 0 | 0 | 43 | 0 | 0 | 0.00% | 0 | 4 | 17 | 0 | 0 | 0.56 | 0 | 0 |
10 | Tom Wilson | ![]() | 0 | RW | 49 | 10 | 13 | 23 | -2 | 69 | 15 | 144 | 110 | 33 | 65 | 9.09% | 21 | 13.54 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 40.91% | 22 | 18 | 5 | 0 | 0 | 0.69 | 0 | 0 |
11 | Lucas Wallmark | ![]() | 0 | C | 49 | 8 | 15 | 23 | 2 | 4 | 0 | 24 | 89 | 34 | 63 | 8.99% | 13 | 13.20 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 53.79% | 383 | 7 | 2 | 0 | 0 | 0.71 | 0 | 0 |
12 | Mikhail Sergachyov | ![]() | 0 | D | 43 | 7 | 12 | 19 | 17 | 50 | 20 | 77 | 54 | 28 | 23 | 12.96% | 39 | 17.63 | 0 | 5 | 5 | 0 | 0 | 0 | 43 | 2 | 1 | 0.00% | 0 | 13 | 8 | 0 | 0 | 0.50 | 1 | 1 |
13 | Esa Lindell | ![]() | 0 | D | 45 | 1 | 15 | 16 | 14 | 6 | 0 | 71 | 62 | 28 | 28 | 1.61% | 60 | 19.64 | 1 | 0 | 1 | 0 | 0 | 0 | 56 | 1 | 0 | 0.00% | 0 | 5 | 16 | 0 | 0 | 0.36 | 0 | 0 |
14 | Anthony Duclair | ![]() | 0 | LW/RW | 49 | 7 | 6 | 13 | 1 | 2 | 0 | 21 | 72 | 27 | 46 | 9.72% | 1 | 14.64 | 0 | 0 | 0 | 1 | 0 | 1 | 45 | 2 | 1 | 19.61% | 51 | 6 | 1 | 0 | 0 | 0.36 | 0 | 1 |
15 | Travis Dermott | ![]() | 0 | D | 41 | 1 | 12 | 13 | 11 | 8 | 0 | 47 | 48 | 19 | 18 | 2.08% | 39 | 16.54 | 0 | 1 | 1 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 7 | 11 | 0 | 0 | 0.38 | 0 | 0 |
16 | Nathan Gerbe | ![]() | 0 | C/LW/RW | 41 | 2 | 9 | 11 | 4 | 8 | 0 | 49 | 28 | 13 | 19 | 7.14% | 6 | 7.96 | 0 | 0 | 0 | 0 | 1 | 1 | 23 | 0 | 0 | 38.94% | 113 | 3 | 2 | 0 | 0 | 0.67 | 0 | 0 |
17 | Michael Grabner | ![]() | 0 | LW/RW | 43 | 3 | 5 | 8 | 3 | 2 | 0 | 8 | 42 | 15 | 28 | 7.14% | 16 | 10.03 | 0 | 0 | 0 | 0 | 0 | 0 | 109 | 0 | 0 | 26.83% | 41 | 13 | 5 | 0 | 0 | 0.37 | 0 | 0 |
18 | Brady Skjei | ![]() | 0 | D | 39 | 3 | 2 | 5 | 7 | 12 | 0 | 46 | 26 | 7 | 5 | 11.54% | 19 | 10.32 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 2 | 5 | 0 | 0 | 0.25 | 0 | 0 |
19 | Mitchell Stephens | ![]() | 0 | C | 24 | 0 | 2 | 2 | 0 | 2 | 0 | 7 | 7 | 3 | 1 | 0.00% | 4 | 4.71 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 61.11% | 18 | 1 | 2 | 0 | 0 | 0.35 | 0 | 0 |
20 | Brad Richardson | ![]() | 0 | C | 26 | 1 | 0 | 1 | -4 | 4 | 0 | 18 | 14 | 8 | 11 | 7.14% | 3 | 8.75 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0 | 0 | 52.21% | 136 | 5 | 4 | 0 | 0 | 0.09 | 0 | 0 |
21 | Vladimir Sobotka | ![]() | 0 | C/LW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 1 | 1 | 0 | 0.00% | 0 | 9.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
22 | Oscar Fantenberg | ![]() | 0 | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 0 | 0 | 0 | 0.00% | 0 | 14.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 884 | 202 | 378 | 580 | 243 | 279 | 35 | 1023 | 1597 | 566 | 938 | 12.65% | 544 | 16.46 | 35 | 64 | 99 | 970 | 1 | 2 | 3 | 746 | 34 | 12 | 48.99% | 2684 | 177 | 153 | 1 | 5 | 0.80 | 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 | Marc-Andre Fleury | ![]() | 29 | 20 | 6 | 2 | 0.914 | 2.63 | 1688 | 0 | 2 | 74 | 864 | 426 | 1 | 0 | 0.000 | 0 | 28 | 21 | 4 | 2 | 2 |
2 | Ryan Miller | ![]() | 21 | 14 | 6 | 1 | 0.897 | 3.19 | 1261 | 2 | 0 | 67 | 653 | 320 | 0 | 0 | 0.571 | 7 | 21 | 24 | 0 | 0 | 0 |
Team Total or Average | 50 | 34 | 12 | 3 | 0.907 | 2.87 | 2950 | 2 | 2 | 141 | 1517 | 746 | 1 | 0 | 0.571 | 7 | 49 | 45 | 4 | 2 | 2 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 3.00 | -1.00 | 0 | 0.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 1 | 1 | 0 | 0 | 28.0 | 5 | 17 | 6 | 0 | 28.0 | 15.0 | 11.00 | 19.0 | 2.00 | 0.00 | 0.00% | 3.00 | 1.00 | 66.67% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 20.00 | 12.00 | 22.00 | 7.00 | 16.00 | 8.00 | 50.0% | 7.1% | 89.3% | 96.4 | Unlucky |
2 | ![]() | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 4.75 | 2.25 | 2.50 | 8 | 1.000 | 4.8 | 9.3 | 14.0 | 0 | 0 | 11 | 4 | 4 | 0 | 35.8 | 67 | 38 | 38 | 0 | 28.5 | 7.8 | 7.25 | 20.5 | 2.25 | 0.50 | 22.22% | 1.75 | 0.25 | 85.71% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 23.25 | 15.25 | 20.75 | 7.75 | 15.50 | 7.75 | 68.0% | 13.3% | 92.1% | 105.4 | LUCKY |
3 | ![]() | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 3.25 | 2.25 | 1.00 | 8 | 1.000 | 3.3 | 6.3 | 9.5 | 0 | 0 | 4 | 6 | 2 | 1 | 30.0 | 35 | 45 | 39 | 1 | 30.0 | 12.0 | 4.50 | 23.0 | 2.25 | 0.50 | 22.22% | 2.25 | 0.00 | 100.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 20.50 | 12.50 | 24.00 | 7.75 | 15.50 | 7.75 | 55.0% | 10.8% | 92.5% | 103.3 | LUCKY |
4 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 3.00 | 2.00 | 2 | 1.000 | 5.0 | 9.0 | 14.0 | 0 | 0 | 0 | 2 | 3 | 0 | 30.0 | 13 | 10 | 7 | 0 | 31.0 | 5.0 | 6.00 | 19.0 | 1.00 | 1.00 | 100.00% | 3.00 | 0.00 | 100.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 21.00 | 13.00 | 21.00 | 8.00 | 16.00 | 7.00 | 57.1% | 16.7% | 90.3% | 107.0 | FUN |
5 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2.50 | 1.00 | 1.50 | 4 | 1.000 | 2.5 | 5.0 | 7.5 | 0 | 0 | 3 | 1 | 1 | 0 | 30.0 | 15 | 26 | 19 | 0 | 32.0 | 8.5 | 6.00 | 25.5 | 2.00 | 0.50 | 25.00% | 3.00 | 0.50 | 83.33% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 19.50 | 12.00 | 24.00 | 8.50 | 15.50 | 7.50 | 80.0% | 8.3% | 96.9% | 105.2 | DULL |
6 | ![]() | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 4.67 | 1.67 | 3.00 | 4 | 0.667 | 4.7 | 8.3 | 13.0 | 0 | 1 | 7 | 3 | 4 | 0 | 32.3 | 47 | 31 | 19 | 0 | 32.0 | 9.7 | 1.33 | 21.0 | 3.33 | 0.00 | 0.00% | 0.67 | 0.00 | 100.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 24.33 | 16.00 | 19.67 | 7.67 | 15.33 | 8.00 | 73.7% | 14.4% | 94.8% | 109.2 | LUCKY |
7 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.00 | 2.00 | 2 | 1.000 | 4.0 | 8.0 | 12.0 | 0 | 0 | 1 | 1 | 2 | 0 | 36.0 | 7 | 17 | 12 | 0 | 27.0 | 13.0 | 2.00 | 25.0 | 4.00 | 1.00 | 25.00% | 1.00 | 0.00 | 100.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 23.00 | 15.00 | 20.00 | 8.00 | 15.00 | 8.00 | 60.0% | 11.1% | 92.6% | 103.7 | LUCKY |
8 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.50 | 1.50 | 3.00 | 4 | 1.000 | 4.5 | 9.0 | 13.5 | 0 | 0 | 4 | 2 | 3 | 0 | 33.5 | 28 | 21 | 18 | 0 | 27.5 | 8.5 | 4.00 | 24.5 | 3.00 | 1.00 | 33.33% | 2.00 | 0.00 | 100.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 25.00 | 16.50 | 19.50 | 8.00 | 14.50 | 7.00 | 70.0% | 13.4% | 94.5% | 108.0 | LUCKY |
9 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6.00 | 4.00 | 2.00 | 2 | 1.000 | 6.0 | 11.0 | 17.0 | 0 | 0 | 1 | 3 | 2 | 0 | 32.0 | 5 | 16 | 11 | 0 | 33.0 | 15.0 | 21.00 | 23.0 | 2.00 | 1.00 | 50.00% | 3.00 | 2.00 | 33.33% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 21.00 | 14.00 | 22.00 | 8.00 | 15.00 | 7.00 | 71.4% | 18.8% | 87.9% | 106.6 | FUN |
10 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6.00 | 3.00 | 3.00 | 2 | 1.000 | 6.0 | 11.0 | 17.0 | 0 | 0 | 0 | 4 | 2 | 0 | 28.0 | 10 | 11 | 7 | 0 | 32.0 | 7.0 | 4.00 | 27.0 | 3.00 | 0.00 | 0.00% | 2.00 | 0.00 | 100.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 23.00 | 15.00 | 20.00 | 7.00 | 15.00 | 7.00 | 66.7% | 21.4% | 90.6% | 112.1 | FUN |
11 | ![]() | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 2.50 | 1.00 | 6 | 0.750 | 3.5 | 6.8 | 10.3 | 0 | 0 | 6 | 5 | 3 | 0 | 34.0 | 51 | 52 | 33 | 0 | 29.8 | 12.3 | 9.00 | 21.3 | 3.25 | 0.75 | 23.08% | 2.00 | 0.25 | 87.50% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 22.25 | 14.25 | 22.50 | 7.50 | 14.75 | 7.75 | 55.0% | 10.3% | 91.6% | 101.9 | LUCKY |
12 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4.00 | 5.00 | -1.00 | 1 | 0.250 | 4.0 | 6.5 | 10.5 | 0 | 0 | 2 | 3 | 3 | 0 | 29.0 | 15 | 20 | 20 | 3 | 35.0 | 14.0 | 4.00 | 24.0 | 1.50 | 0.00 | 0.00% | 2.00 | 0.50 | 75.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 21.00 | 12.50 | 22.50 | 8.00 | 17.50 | 8.50 | 47.1% | 13.8% | 85.7% | 99.5 | FUN |
13 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.50 | 3.50 | 2.00 | 4 | 1.000 | 5.5 | 10.5 | 16.0 | 0 | 0 | 2 | 4 | 5 | 0 | 39.5 | 30 | 26 | 23 | 0 | 27.0 | 7.0 | 3.00 | 16.5 | 6.00 | 1.50 | 25.00% | 1.50 | 0.50 | 66.67% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 26.50 | 18.00 | 17.50 | 7.50 | 15.50 | 8.00 | 57.1% | 13.9% | 87.0% | 101.0 | FUN |
14 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 4.50 | -0.50 | 2 | 0.500 | 4.0 | 8.0 | 12.0 | 0 | 0 | 1 | 5 | 2 | 0 | 30.5 | 16 | 19 | 26 | 0 | 36.5 | 12.0 | 7.00 | 15.5 | 2.00 | 0.50 | 25.00% | 3.50 | 2.00 | 42.86% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 19.00 | 11.50 | 25.50 | 8.00 | 15.00 | 7.00 | 58.3% | 13.1% | 87.7% | 100.8 | FUN |
15 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.00 | 2.00 | 2 | 1.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 1 | 2 | 1 | 0 | 27.0 | 7 | 6 | 14 | 0 | 20.0 | 13.0 | 6.00 | 16.0 | 4.00 | 1.00 | 25.00% | 3.00 | 1.00 | 66.67% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 24.00 | 15.00 | 20.00 | 9.00 | 15.00 | 7.00 | 75.0% | 14.8% | 90.0% | 104.8 | FUN |
16 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3.50 | 4.50 | -1.00 | 1 | 0.250 | 3.5 | 6.0 | 9.5 | 0 | 0 | 2 | 3 | 2 | 0 | 37.0 | 27 | 27 | 17 | 3 | 35.5 | 9.5 | 5.00 | 16.5 | 1.00 | 0.50 | 50.00% | 2.50 | 1.00 | 60.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 23.50 | 16.00 | 23.00 | 7.50 | 14.00 | 6.50 | 46.2% | 9.5% | 87.3% | 96.8 | FUN |
17 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6.00 | 3.00 | 3.00 | 2 | 1.000 | 6.0 | 11.0 | 17.0 | 0 | 0 | 2 | 4 | 0 | 0 | 40.0 | 12 | 20 | 8 | 0 | 25.0 | 9.0 | 4.00 | 19.0 | 2.00 | 1.00 | 50.00% | 2.00 | 0.00 | 100.00% | 1 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 25.00 | 16.00 | 18.00 | 8.00 | 16.00 | 8.00 | 62.5% | 15.0% | 88.0% | 103.0 | FUN |
18 | ![]() | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4.00 | 5.00 | -1.00 | 0 | 0.000 | 4.0 | 8.0 | 12.0 | 0 | 0 | 4 | 3 | 5 | 0 | 30.0 | 29 | 37 | 24 | 0 | 40.0 | 10.7 | 4.67 | 18.0 | 2.67 | 2.00 | 75.00% | 2.33 | 1.33 | 42.86% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 19.33 | 12.00 | 25.33 | 7.33 | 14.67 | 7.00 | 35.3% | 13.3% | 87.5% | 100.8 | FUN |
19 | ![]() | 5 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 3.80 | 3.20 | 0.60 | 5 | 0.500 | 3.8 | 7.0 | 10.8 | 0 | 0 | 8 | 5 | 6 | 2 | 31.0 | 54 | 42 | 58 | 8 | 30.8 | 11.8 | 6.80 | 20.4 | 1.00 | 0.20 | 20.00% | 3.40 | 0.20 | 94.12% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 20.60 | 12.80 | 24.60 | 8.20 | 15.60 | 7.40 | 54.5% | 12.3% | 89.6% | 101.9 | FUN |
20 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.50 | 2.50 | 3.00 | 4 | 1.000 | 5.5 | 10.0 | 15.5 | 0 | 0 | 5 | 1 | 5 | 0 | 29.5 | 25 | 16 | 18 | 0 | 33.0 | 11.0 | 6.00 | 23.5 | 2.00 | 1.50 | 75.00% | 3.00 | 0.00 | 100.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 20.00 | 12.00 | 23.50 | 8.00 | 16.00 | 7.50 | 61.5% | 18.6% | 92.4% | 111.1 | LUCKY |
21 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 4.00 | -1.50 | 2 | 0.500 | 2.5 | 5.0 | 7.5 | 0 | 0 | 2 | 2 | 1 | 0 | 33.5 | 17 | 28 | 22 | 0 | 33.5 | 17.0 | 4.00 | 20.0 | 1.50 | 0.50 | 33.33% | 2.00 | 1.00 | 50.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 20.50 | 13.00 | 23.50 | 7.00 | 15.00 | 7.50 | 40.0% | 7.5% | 88.1% | 95.5 | Unlucky |
22 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5.00 | 1.50 | 3.50 | 4 | 1.000 | 5.0 | 8.5 | 13.5 | 0 | 1 | 3 | 4 | 2 | 1 | 36.5 | 25 | 25 | 22 | 1 | 29.0 | 15.0 | 4.00 | 20.5 | 4.50 | 1.50 | 33.33% | 2.00 | 0.50 | 75.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 25.00 | 16.50 | 20.00 | 7.50 | 15.50 | 8.50 | 77.8% | 13.7% | 94.8% | 108.5 | LUCKY |
23 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.00 | 2.00 | 2 | 1.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 1 | 2 | 1 | 0 | 37.0 | 8 | 17 | 12 | 0 | 20.0 | 14.0 | 6.00 | 23.0 | 5.00 | 1.00 | 20.00% | 3.00 | 0.00 | 100.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 23.00 | 15.00 | 22.00 | 9.00 | 14.00 | 7.00 | 60.0% | 10.8% | 90.0% | 100.8 | FUN |
_Vs Division | 18 | 11 | 5 | 0 | 0 | 1 | 0 | 1 | 3.89 | 3.06 | 0.83 | 24 | 0.667 | 3.9 | 7.3 | 11.2 | 0 | 0 | 29 | 23 | 18 | 2 | 33.5 | 226 | 198 | 175 | 11 | 30.9 | 11.1 | 6.72 | 20.5 | 1.94 | 0.44 | 22.86% | 2.39 | 0.39 | 83.72% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 22.17 | 14.33 | 22.83 | 7.83 | 15.33 | 7.61 | 56.4% | 11.6% | 90.1% | 101.7 | FUN | |
_Vs Conference | 35 | 23 | 9 | 0 | 1 | 1 | 0 | 1 | 4.11 | 2.89 | 1.23 | 50 | 0.714 | 4.1 | 7.8 | 11.9 | 0 | 1 | 56 | 44 | 43 | 3 | 32.9 | 428 | 391 | 328 | 12 | 31.1 | 10.7 | 5.40 | 20.9 | 2.54 | 0.71 | 28.09% | 2.20 | 0.34 | 84.42% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 22.31 | 14.37 | 22.54 | 7.86 | 15.34 | 7.63 | 57.2% | 12.5% | 90.7% | 103.2 | FUN | |
_Since Last GM Reset | 49 | 32 | 12 | 0 | 2 | 2 | 0 | 1 | 4.12 | 2.90 | 1.22 | 71 | 0.724 | 4.1 | 7.7 | 11.8 | 0 | 2 | 71 | 70 | 59 | 4 | 32.6 | 548 | 567 | 473 | 16 | 31.0 | 11.1 | 5.73 | 20.9 | 2.53 | 0.71 | 28.23% | 2.31 | 0.47 | 79.65% | 1 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 22.22 | 14.22 | 22.49 | 7.96 | 15.57 | 7.76 | 58.4% | 12.6% | 90.6% | 103.3 | FUN | |
Total | 49 | 32 | 12 | 0 | 2 | 2 | 0 | 1 | 4.12 | 2.90 | 1.22 | 71 | 0.724 | 4.1 | 7.7 | 11.8 | 0 | 2 | 71 | 70 | 59 | 4 | 32.6 | 548 | 567 | 473 | 16 | 31.0 | 11.1 | 5.73 | 20.9 | 2.53 | 0.71 | 28.23% | 2.31 | 0.47 | 79.65% | 1 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 22.22 | 14.22 | 22.49 | 7.96 | 15.57 | 7.76 | 58.4% | 12.6% | 90.6% | 103.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 15 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 976 |
Neutral Zone Start | 670 |
Defensive Zone Start | 1025 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1315 |
Faceoffs Lost | 1356 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.2 | 9.57 |
2nd Period | 22.8 | 20.31 |
3rd Period | 32.4 | 30.68 |
Overtime | 32.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.9 | 1.65 |
3rd Period | 4.1 | 2.67 |
Overtime | 4.2 | 2.83 |
Even Strenght Goal | 166 |
---|---|
PP Goal | 35 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 20 | 14 |
Lost | 4 | 8 |
Overtime Lost | 0 | 3 |
PP Attempt | 124 |
---|---|
PP Goal | 35 |
PK Attempt | 113 |
PK Goal Against | 23 |
Home | |
---|---|
Shots For | 32.6 |
Shots Against | 31.0 |
Goals For | 4.1 |
Goals Against | 2.9 |
Hits | 20.9 |
Shots Blocked | 11.1 |
Pim | 5.7 |
![]() | |
Total Salaries | 67,093,415$ |
Projected Total Cap Hit | 67,149,618$ |
Projected Cap Space | 11,850,382$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 36,319,282$ |
Players Signed (45 – 55) | 52 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 16 |
LTIR Players | 1 |
Thunder Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 39 |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Andre Burakovsky | LW/RW | 25 | 3,250,000$ | 1,450,268$ | 3,250,000$ | RFA | ||||||
Anthony Duclair | LW/RW | 24 | 650,000$ | 290,053$ | 650,000$ | 650,000$ | RFA | |||||
Brad Richardson | C | 35 | 2,250,000$ | 1,004,032$ | 2,250,000$ | UFA | ||||||
Brady Skjei | D | 26 | 5,250,000$ | 2,342,741$ | 5,250,000$ | RFA | ||||||
Brandon Carlo | D | 23 | 789,167$ | 352,155$ | 789,167$ | RFA | ||||||
Connor McDavid | C | 23 | 925,000$ | 412,768$ | 925,000$ | RFA | ||||||
David Backes | C/RW | 36 | 1,500,000$ | 669,354$ | 1,500,000$ | UFA | ||||||
Dustin Tokarski | G | 30 | 450,000$ | 200,806$ | 450,000$ | UFA | ||||||
Esa Lindell | D | 26 | 5,800,000$ | 2,588,172$ | 5,800,000$ | RFA | ||||||
Lucas Wallmark | C | 24 | 675,000$ | 301,209$ | 675,000$ | 675,000$ | RFA | |||||
Marc-Andre Fleury | G | 35 | 6,550,000$ | 2,922,849$ | 6,550,000$ | UFA | ||||||
Mark Scheifele | C | 27 | 6,125,000$ | 2,733,198$ | 6,125,000$ | 6,125,000$ | UFA | |||||
Michael Grabner | LW/RW | 32 | 1,000,000$ | 446,236$ | 1,000,000$ | UFA | ||||||
Mikhail Sergachyov | D | 22 | 894,166$ | 399,009$ | 894,166$ | 894,166$ | 894,166$ | RFA | ||||
Mitchell Stephens | C | 23 | 833,333$ | 371,863$ | 833,333$ | RFA | ||||||
Nathan Gerbe | C/LW/RW | 32 | 450,000$ | 200,806$ | 450,000$ | UFA | ||||||
Nathan MacKinnon | C | 24 | 6,300,000$ | 2,811,290$ | 6,300,000$ | RFA | ||||||
Oscar Fantenberg | D | 28 | 450,000$ | 200,806$ | 450,000$ | UFA | ||||||
Reilly Smith | LW/RW | 29 | 3,350,000$ | 1,494,892$ | 3,350,000$ | UFA | ||||||
Ryan Ellis | D | 29 | 6,875,000$ | 3,067,876$ | 6,875,000$ | 6,875,000$ | 6,875,000$ | UFA | ||||
Ryan Miller | G | 39 | 562,500$ | 251,008$ | 562,500$ | UFA | ||||||
Samuel Girard | D | 22 | 728,333$ | 325,008$ | 728,333$ | 728,333$ | 728,333$ | RFA | ||||
Tanner Pearson | LW | 27 | 3,750,000$ | 1,673,387$ | 3,750,000$ | UFA | ||||||
Tom Wilson | RW | 26 | 5,166,666$ | 2,305,555$ | 5,166,666$ | 5,166,666$ | 5,166,666$ | UFA | ||||
Travis Dermott | D | 23 | 863,333$ | 385,250$ | 863,333$ | 863,333$ | RFA | |||||
Vladimir Sobotka | C/LW | 32 | 875,000$ | 390,456$ | 875,000$ | UFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 39 |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Formenton | LW | 20 | 725,000$ | 34,205$ | 72,500$ | RFA | ||||||
Andrew Peeke | D | 22 | 916,667$ | 43,248$ | 91,667$ | RFA | ||||||
Angus Crookshank | LW | 20 | 500,000$ | 23,590$ | 50,000$ | RFA | ||||||
Austin Wagner | LW | 23 | 759,167$ | 35,817$ | 75,917$ | 75,917$ | 75,917$ | RFA | ||||
Brandon Crawley | D | 23 | 770,000$ | 36,328$ | 77,000$ | RFA | ||||||
Carter Verhaeghe | C/RW | 24 | 700,000$ | 33,026$ | 70,000$ | 70,000$ | 70,000$ | RFA | ||||
Connor Corcoran | D | 19 | 475,000$ | 22,410$ | 47,500$ | 47,500$ | RFA | |||||
Damien Giroux | C | 20 | 475,000$ | 22,410$ | 47,500$ | 47,500$ | RFA | |||||
Dustyn McFaul | D | 19 | 450,000$ | 21,231$ | 45,000$ | RFA | ||||||
Filip Chytil | C | 20 | 875,000$ | 41,282$ | 87,500$ | RFA | ||||||
Filip Johansson | D | 20 | 875,000$ | 41,282$ | 87,500$ | 87,500$ | RFA | |||||
Frederik Gauthier | C | 25 | 675,000$ | 31,846$ | 67,500$ | 67,500$ | RFA | |||||
Igor Bobkov | G | 29 | 450,000$ | 21,231$ | 45,000$ | UFA | ||||||
Jachym Kondelik | C | 20 | 500,000$ | 23,590$ | 50,000$ | RFA | ||||||
Jake McGrew | RW | 21 | 773,333$ | 36,485$ | 77,333$ | 77,333$ | 77,333$ | RFA | ||||
Jake Walman | D | 24 | 925,000$ | 43,641$ | 92,500$ | RFA | ||||||
Jonny Tychonick | D | 20 | 725,000$ | 34,205$ | 72,500$ | RFA | ||||||
Landon Bow | G | 24 | 450,000$ | 21,231$ | 45,000$ | RFA | ||||||
Markus Phillips | D | 21 | 550,000$ | 25,949$ | 55,000$ | RFA | ||||||
Mathieu Olivier | RW | 23 | 450,000$ | 21,231$ | 45,000$ | RFA | ||||||
Max Lagace | G | 27 | 450,000$ | 21,231$ | 45,000$ | UFA | ||||||
Michael Dal Colle | LW/RW | 24 | 700,000$ | 33,026$ | 70,000$ | 70,000$ | 70,000$ | RFA | ||||
Nick Caamano | LW/RW | 21 | 738,333$ | 34,834$ | 73,833$ | RFA | ||||||
Nikolay Goldobin | LW/RW | 24 | 450,000$ | 21,231$ | 45,000$ | RFA | ||||||
Noah Gregor | C | 21 | 768,333$ | 36,250$ | 76,833$ | RFA | ||||||
Semyon Der-Arguchintsev | C | 19 | 625,000$ | 29,487$ | 62,500$ | 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 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 3.00 | -1.00 | 0 | 0.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 1 | 1 | 0 | 0 | 28.0 | 5 | 17 | 6 | 0 | 28.0 | 15.0 | 11.00 | 19.0 | 2.00 | 0.00 | 0.00% | 3.00 | 1.00 | 66.67% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 20.00 | 12.00 | 22.00 | 7.00 | 16.00 | 8.00 | 50.0% | 7.1% | 89.3% | 96.4 | Unlucky |
2 | ![]() | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 4.75 | 2.25 | 2.50 | 8 | 1.000 | 4.8 | 9.3 | 14.0 | 0 | 0 | 11 | 4 | 4 | 0 | 35.8 | 67 | 38 | 38 | 0 | 28.5 | 7.8 | 7.25 | 20.5 | 2.25 | 0.50 | 22.22% | 1.75 | 0.25 | 85.71% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 23.25 | 15.25 | 20.75 | 7.75 | 15.50 | 7.75 | 68.0% | 13.3% | 92.1% | 105.4 | LUCKY |
3 | ![]() | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 3.25 | 2.25 | 1.00 | 8 | 1.000 | 3.3 | 6.3 | 9.5 | 0 | 0 | 4 | 6 | 2 | 1 | 30.0 | 35 | 45 | 39 | 1 | 30.0 | 12.0 | 4.50 | 23.0 | 2.25 | 0.50 | 22.22% | 2.25 | 0.00 | 100.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 20.50 | 12.50 | 24.00 | 7.75 | 15.50 | 7.75 | 55.0% | 10.8% | 92.5% | 103.3 | LUCKY |
4 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 3.00 | 2.00 | 2 | 1.000 | 5.0 | 9.0 | 14.0 | 0 | 0 | 0 | 2 | 3 | 0 | 30.0 | 13 | 10 | 7 | 0 | 31.0 | 5.0 | 6.00 | 19.0 | 1.00 | 1.00 | 100.00% | 3.00 | 0.00 | 100.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 21.00 | 13.00 | 21.00 | 8.00 | 16.00 | 7.00 | 57.1% | 16.7% | 90.3% | 107.0 | FUN |
5 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2.50 | 1.00 | 1.50 | 4 | 1.000 | 2.5 | 5.0 | 7.5 | 0 | 0 | 3 | 1 | 1 | 0 | 30.0 | 15 | 26 | 19 | 0 | 32.0 | 8.5 | 6.00 | 25.5 | 2.00 | 0.50 | 25.00% | 3.00 | 0.50 | 83.33% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 19.50 | 12.00 | 24.00 | 8.50 | 15.50 | 7.50 | 80.0% | 8.3% | 96.9% | 105.2 | DULL |
6 | ![]() | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 4.67 | 1.67 | 3.00 | 4 | 0.667 | 4.7 | 8.3 | 13.0 | 0 | 1 | 7 | 3 | 4 | 0 | 32.3 | 47 | 31 | 19 | 0 | 32.0 | 9.7 | 1.33 | 21.0 | 3.33 | 0.00 | 0.00% | 0.67 | 0.00 | 100.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 24.33 | 16.00 | 19.67 | 7.67 | 15.33 | 8.00 | 73.7% | 14.4% | 94.8% | 109.2 | LUCKY |
7 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.00 | 2.00 | 2 | 1.000 | 4.0 | 8.0 | 12.0 | 0 | 0 | 1 | 1 | 2 | 0 | 36.0 | 7 | 17 | 12 | 0 | 27.0 | 13.0 | 2.00 | 25.0 | 4.00 | 1.00 | 25.00% | 1.00 | 0.00 | 100.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 23.00 | 15.00 | 20.00 | 8.00 | 15.00 | 8.00 | 60.0% | 11.1% | 92.6% | 103.7 | LUCKY |
8 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.50 | 1.50 | 3.00 | 4 | 1.000 | 4.5 | 9.0 | 13.5 | 0 | 0 | 4 | 2 | 3 | 0 | 33.5 | 28 | 21 | 18 | 0 | 27.5 | 8.5 | 4.00 | 24.5 | 3.00 | 1.00 | 33.33% | 2.00 | 0.00 | 100.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 25.00 | 16.50 | 19.50 | 8.00 | 14.50 | 7.00 | 70.0% | 13.4% | 94.5% | 108.0 | LUCKY |
9 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6.00 | 4.00 | 2.00 | 2 | 1.000 | 6.0 | 11.0 | 17.0 | 0 | 0 | 1 | 3 | 2 | 0 | 32.0 | 5 | 16 | 11 | 0 | 33.0 | 15.0 | 21.00 | 23.0 | 2.00 | 1.00 | 50.00% | 3.00 | 2.00 | 33.33% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 21.00 | 14.00 | 22.00 | 8.00 | 15.00 | 7.00 | 71.4% | 18.8% | 87.9% | 106.6 | FUN |
10 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6.00 | 3.00 | 3.00 | 2 | 1.000 | 6.0 | 11.0 | 17.0 | 0 | 0 | 0 | 4 | 2 | 0 | 28.0 | 10 | 11 | 7 | 0 | 32.0 | 7.0 | 4.00 | 27.0 | 3.00 | 0.00 | 0.00% | 2.00 | 0.00 | 100.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 23.00 | 15.00 | 20.00 | 7.00 | 15.00 | 7.00 | 66.7% | 21.4% | 90.6% | 112.1 | FUN |
11 | ![]() | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 2.50 | 1.00 | 6 | 0.750 | 3.5 | 6.8 | 10.3 | 0 | 0 | 6 | 5 | 3 | 0 | 34.0 | 51 | 52 | 33 | 0 | 29.8 | 12.3 | 9.00 | 21.3 | 3.25 | 0.75 | 23.08% | 2.00 | 0.25 | 87.50% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 22.25 | 14.25 | 22.50 | 7.50 | 14.75 | 7.75 | 55.0% | 10.3% | 91.6% | 101.9 | LUCKY |
12 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4.00 | 5.00 | -1.00 | 1 | 0.250 | 4.0 | 6.5 | 10.5 | 0 | 0 | 2 | 3 | 3 | 0 | 29.0 | 15 | 20 | 20 | 3 | 35.0 | 14.0 | 4.00 | 24.0 | 1.50 | 0.00 | 0.00% | 2.00 | 0.50 | 75.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 21.00 | 12.50 | 22.50 | 8.00 | 17.50 | 8.50 | 47.1% | 13.8% | 85.7% | 99.5 | FUN |
13 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.50 | 3.50 | 2.00 | 4 | 1.000 | 5.5 | 10.5 | 16.0 | 0 | 0 | 2 | 4 | 5 | 0 | 39.5 | 30 | 26 | 23 | 0 | 27.0 | 7.0 | 3.00 | 16.5 | 6.00 | 1.50 | 25.00% | 1.50 | 0.50 | 66.67% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 26.50 | 18.00 | 17.50 | 7.50 | 15.50 | 8.00 | 57.1% | 13.9% | 87.0% | 101.0 | FUN |
14 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 4.50 | -0.50 | 2 | 0.500 | 4.0 | 8.0 | 12.0 | 0 | 0 | 1 | 5 | 2 | 0 | 30.5 | 16 | 19 | 26 | 0 | 36.5 | 12.0 | 7.00 | 15.5 | 2.00 | 0.50 | 25.00% | 3.50 | 2.00 | 42.86% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 19.00 | 11.50 | 25.50 | 8.00 | 15.00 | 7.00 | 58.3% | 13.1% | 87.7% | 100.8 | FUN |
15 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.00 | 2.00 | 2 | 1.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 1 | 2 | 1 | 0 | 27.0 | 7 | 6 | 14 | 0 | 20.0 | 13.0 | 6.00 | 16.0 | 4.00 | 1.00 | 25.00% | 3.00 | 1.00 | 66.67% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 24.00 | 15.00 | 20.00 | 9.00 | 15.00 | 7.00 | 75.0% | 14.8% | 90.0% | 104.8 | FUN |
16 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3.50 | 4.50 | -1.00 | 1 | 0.250 | 3.5 | 6.0 | 9.5 | 0 | 0 | 2 | 3 | 2 | 0 | 37.0 | 27 | 27 | 17 | 3 | 35.5 | 9.5 | 5.00 | 16.5 | 1.00 | 0.50 | 50.00% | 2.50 | 1.00 | 60.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 23.50 | 16.00 | 23.00 | 7.50 | 14.00 | 6.50 | 46.2% | 9.5% | 87.3% | 96.8 | FUN |
17 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6.00 | 3.00 | 3.00 | 2 | 1.000 | 6.0 | 11.0 | 17.0 | 0 | 0 | 2 | 4 | 0 | 0 | 40.0 | 12 | 20 | 8 | 0 | 25.0 | 9.0 | 4.00 | 19.0 | 2.00 | 1.00 | 50.00% | 2.00 | 0.00 | 100.00% | 1 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 25.00 | 16.00 | 18.00 | 8.00 | 16.00 | 8.00 | 62.5% | 15.0% | 88.0% | 103.0 | FUN |
18 | ![]() | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4.00 | 5.00 | -1.00 | 0 | 0.000 | 4.0 | 8.0 | 12.0 | 0 | 0 | 4 | 3 | 5 | 0 | 30.0 | 29 | 37 | 24 | 0 | 40.0 | 10.7 | 4.67 | 18.0 | 2.67 | 2.00 | 75.00% | 2.33 | 1.33 | 42.86% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 19.33 | 12.00 | 25.33 | 7.33 | 14.67 | 7.00 | 35.3% | 13.3% | 87.5% | 100.8 | FUN |
19 | ![]() | 5 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 3.80 | 3.20 | 0.60 | 5 | 0.500 | 3.8 | 7.0 | 10.8 | 0 | 0 | 8 | 5 | 6 | 2 | 31.0 | 54 | 42 | 58 | 8 | 30.8 | 11.8 | 6.80 | 20.4 | 1.00 | 0.20 | 20.00% | 3.40 | 0.20 | 94.12% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 20.60 | 12.80 | 24.60 | 8.20 | 15.60 | 7.40 | 54.5% | 12.3% | 89.6% | 101.9 | FUN |
20 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.50 | 2.50 | 3.00 | 4 | 1.000 | 5.5 | 10.0 | 15.5 | 0 | 0 | 5 | 1 | 5 | 0 | 29.5 | 25 | 16 | 18 | 0 | 33.0 | 11.0 | 6.00 | 23.5 | 2.00 | 1.50 | 75.00% | 3.00 | 0.00 | 100.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 20.00 | 12.00 | 23.50 | 8.00 | 16.00 | 7.50 | 61.5% | 18.6% | 92.4% | 111.1 | LUCKY |
21 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 4.00 | -1.50 | 2 | 0.500 | 2.5 | 5.0 | 7.5 | 0 | 0 | 2 | 2 | 1 | 0 | 33.5 | 17 | 28 | 22 | 0 | 33.5 | 17.0 | 4.00 | 20.0 | 1.50 | 0.50 | 33.33% | 2.00 | 1.00 | 50.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 20.50 | 13.00 | 23.50 | 7.00 | 15.00 | 7.50 | 40.0% | 7.5% | 88.1% | 95.5 | Unlucky |
22 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5.00 | 1.50 | 3.50 | 4 | 1.000 | 5.0 | 8.5 | 13.5 | 0 | 1 | 3 | 4 | 2 | 1 | 36.5 | 25 | 25 | 22 | 1 | 29.0 | 15.0 | 4.00 | 20.5 | 4.50 | 1.50 | 33.33% | 2.00 | 0.50 | 75.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 25.00 | 16.50 | 20.00 | 7.50 | 15.50 | 8.50 | 77.8% | 13.7% | 94.8% | 108.5 | LUCKY |
23 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.00 | 2.00 | 2 | 1.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 1 | 2 | 1 | 0 | 37.0 | 8 | 17 | 12 | 0 | 20.0 | 14.0 | 6.00 | 23.0 | 5.00 | 1.00 | 20.00% | 3.00 | 0.00 | 100.00% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 23.00 | 15.00 | 22.00 | 9.00 | 14.00 | 7.00 | 60.0% | 10.8% | 90.0% | 100.8 | FUN |
_Vs Division | 18 | 11 | 5 | 0 | 0 | 1 | 0 | 1 | 3.89 | 3.06 | 0.83 | 24 | 0.667 | 3.9 | 7.3 | 11.2 | 0 | 0 | 29 | 23 | 18 | 2 | 33.5 | 226 | 198 | 175 | 11 | 30.9 | 11.1 | 6.72 | 20.5 | 1.94 | 0.44 | 22.86% | 2.39 | 0.39 | 83.72% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 22.17 | 14.33 | 22.83 | 7.83 | 15.33 | 7.61 | 56.4% | 11.6% | 90.1% | 101.7 | FUN | |
_Vs Conference | 35 | 23 | 9 | 0 | 1 | 1 | 0 | 1 | 4.11 | 2.89 | 1.23 | 50 | 0.714 | 4.1 | 7.8 | 11.9 | 0 | 1 | 56 | 44 | 43 | 3 | 32.9 | 428 | 391 | 328 | 12 | 31.1 | 10.7 | 5.40 | 20.9 | 2.54 | 0.71 | 28.09% | 2.20 | 0.34 | 84.42% | 0 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 22.31 | 14.37 | 22.54 | 7.86 | 15.34 | 7.63 | 57.2% | 12.5% | 90.7% | 103.2 | FUN | |
_Since Last GM Reset | 49 | 32 | 12 | 0 | 2 | 2 | 0 | 1 | 4.12 | 2.90 | 1.22 | 71 | 0.724 | 4.1 | 7.7 | 11.8 | 0 | 2 | 71 | 70 | 59 | 4 | 32.6 | 548 | 567 | 473 | 16 | 31.0 | 11.1 | 5.73 | 20.9 | 2.53 | 0.71 | 28.23% | 2.31 | 0.47 | 79.65% | 1 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 22.22 | 14.22 | 22.49 | 7.96 | 15.57 | 7.76 | 58.4% | 12.6% | 90.6% | 103.3 | FUN | |
Total | 49 | 32 | 12 | 0 | 2 | 2 | 0 | 1 | 4.12 | 2.90 | 1.22 | 71 | 0.724 | 4.1 | 7.7 | 11.8 | 0 | 2 | 71 | 70 | 59 | 4 | 32.6 | 548 | 567 | 473 | 16 | 31.0 | 11.1 | 5.73 | 20.9 | 2.53 | 0.71 | 28.23% | 2.31 | 0.47 | 79.65% | 1 | 500 | 976 | 51.23% | 509 | 1025 | 49.66% | 306 | 670 | 45.67% | 22.22 | 14.22 | 22.49 | 7.96 | 15.57 | 7.76 | 58.4% | 12.6% | 90.6% | 103.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 15 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 976 |
Neutral Zone Start | 670 |
Defensive Zone Start | 1025 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1315 |
Faceoffs Lost | 1356 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.2 | 9.57 |
2nd Period | 22.8 | 20.31 |
3rd Period | 32.4 | 30.68 |
Overtime | 32.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.9 | 1.65 |
3rd Period | 4.1 | 2.67 |
Overtime | 4.2 | 2.83 |
Even Strenght Goal | 166 |
---|---|
PP Goal | 35 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 20 | 14 |
Lost | 4 | 8 |
Overtime Lost | 0 | 3 |
PP Attempt | 124 |
---|---|
PP Goal | 35 |
PK Attempt | 113 |
PK Goal Against | 23 |
Home | |
---|---|
Shots For | 32.6 |
Shots Against | 31.0 |
Goals For | 4.1 |
Goals Against | 2.9 |
Hits | 20.9 |
Shots Blocked | 11.1 |
Pim | 5.7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sat, Jan 2 | ![]() | @ | ![]() | THU4,WOL3 | RECAP | |||||||||
Mon, Jan 4 | ![]() | @ | ![]() | BRA3,THU6 | RECAP | |||||||||
Wed, Jan 6 | ![]() | @ | ![]() | THU4,KNI5 (OT) | RECAP | |||||||||
Thu, Jan 7 | ![]() | @ | ![]() | FRE4,THU7 | RECAP | |||||||||
Sun, Jan 10 | ![]() | @ | ![]() | THU3,STO2 | RECAP | |||||||||
Mon, Jan 11 | ![]() | @ | ![]() | FRE2,THU6 | RECAP | |||||||||
Thu, Jan 14 | ![]() | @ | ![]() | HIT2,THU4 | RECAP | |||||||||
Sun, Jan 17 | ![]() | @ | ![]() | THU5,GRI6 (SO) | RECAP | |||||||||
Tue, Jan 19 | ![]() | @ | ![]() | GRI4,THU3 | RECAP | |||||||||
Thu, Jan 21 | ![]() | @ | ![]() | THU1,ROC2 | RECAP | |||||||||
Sat, Jan 23 | ![]() | @ | ![]() | THU3,KNI4 | RECAP | |||||||||
Mon, Jan 25 | ![]() | @ | ![]() | AVG2,THU4 | RECAP | |||||||||
Fri, Jan 29 | ![]() | @ | ![]() | THU4,TIT2 | RECAP | |||||||||
Sat, Jan 30 | ![]() | @ | ![]() | FRE1,THU3 | RECAP | |||||||||
Tue, Feb 2 | ![]() | @ | ![]() | ROC2,THU4 | RECAP | |||||||||
Wed, Feb 3 | ![]() | @ | ![]() | THU6,MET4 | RECAP | |||||||||
Fri, Feb 5 | ![]() | @ | ![]() | THU2,WOL1 | RECAP | |||||||||
Sun, Feb 7 | ![]() | @ | ![]() | LYN3,THU5 | RECAP | |||||||||
Mon, Feb 8 | ![]() | @ | ![]() | THU4,BUT5 | RECAP | |||||||||
Wed, Feb 10 | ![]() | @ | ![]() | FRE2,THU3 | RECAP | |||||||||
Sat, Feb 13 | ![]() | @ | ![]() | THU2,REV3 | RECAP | |||||||||
Mon, Feb 15 | ![]() | @ | ![]() | GRI3,THU1 | RECAP | |||||||||
Wed, Feb 17 | ![]() | @ | ![]() | THU6,TRA4 | RECAP | |||||||||
Sat, Feb 20 | ![]() | @ | ![]() | GRI1,THU6 | RECAP | |||||||||
Mon, Feb 22 | ![]() | @ | ![]() | THU5,BUT6 | RECAP | |||||||||
Wed, Feb 24 | ![]() | @ | ![]() | MAV0,THU4 | RECAP | |||||||||
Fri, Feb 26 | ![]() | @ | ![]() | THU5,GWS6 (OT) | RECAP | |||||||||
Mon, Mar 1 | ![]() | @ | ![]() | STO1,THU6 | RECAP | |||||||||
Wed, Mar 3 | ![]() | @ | ![]() | THU2,MAV3 | RECAP | |||||||||
Fri, Mar 5 | ![]() | @ | ![]() | MOU1,THU3 | RECAP | |||||||||
Sun, Mar 7 | ![]() | @ | ![]() | THU6,RIN0 | RECAP | |||||||||
Wed, Mar 10 | ![]() | @ | ![]() | WOL2,THU3 | RECAP | |||||||||
Fri, Mar 12 | ![]() | @ | ![]() | THU4,WOL3 (OT) | RECAP | |||||||||
Sun, Mar 14 | ![]() | @ | ![]() | THU4,ROC3 | RECAP | |||||||||
Mon, Mar 15 | ![]() | @ | ![]() | BUT4,THU3 | RECAP | |||||||||
Thu, Mar 18 | ![]() | @ | ![]() | RIN3,THU4 (OT) | RECAP | |||||||||
Sat, Mar 20 | ![]() | @ | ![]() | THU3,JAG5 | RECAP | |||||||||
Sun, Mar 21 | ![]() | @ | ![]() | MUS2,THU4 | RECAP | |||||||||
Wed, Mar 24 | ![]() | @ | ![]() | THU2,MOU1 | RECAP | |||||||||
Thu, Mar 25 | ![]() | @ | ![]() | THU5,MET3 | RECAP | |||||||||
Sat, Mar 27 | ![]() | @ | ![]() | JAG4,THU5 | RECAP | |||||||||
Mon, Mar 29 | ![]() | @ | ![]() | MAV2,THU8 | RECAP | |||||||||
Thu, Apr 1 | ![]() | @ | ![]() | THU5,ROC3 | RECAP | |||||||||
Sat, Apr 3 | ![]() | @ | ![]() | THU6,CRU3 | RECAP | |||||||||
Sun, Apr 4 | ![]() | @ | ![]() | GWS4,THU3 | RECAP | |||||||||
Wed, Apr 7 | ![]() | @ | ![]() | AVG3,THU7 | RECAP | |||||||||
Fri, Apr 9 | ![]() | @ | ![]() | THU4,GRI2 | RECAP | |||||||||
Mon, Apr 12 | ![]() | @ | ![]() | THU1,HIT6 | RECAP | |||||||||
Wed, Apr 14 | ![]() | @ | ![]() | DRA2,THU4 | RECAP | |||||||||
Sun, Apr 18 | ![]() | @ | ![]() | |||||||||||
Tue, Apr 20 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 22 | ![]() | @ | ![]() | |||||||||||
Fri, Apr 23 | ![]() | @ | ![]() | |||||||||||
Mon, Apr 26 | ![]() | @ | ![]() | |||||||||||
Tue, Apr 27 | ![]() | @ | ![]() | |||||||||||
Fri, Apr 30 | ![]() | @ | ![]() | |||||||||||
Sat, May 1 | ![]() | @ | ![]() | |||||||||||
Mon, May 3 | ![]() | @ | ![]() | |||||||||||
Thu, May 6 | ![]() | @ | ![]() | |||||||||||
Fri, May 7 | ![]() | @ | ![]() | |||||||||||
Tue, May 11 | ![]() | @ | ![]() | |||||||||||
Thu, May 13 | ![]() | @ | ![]() | |||||||||||
Fri, May 14 | ![]() | @ | ![]() | |||||||||||
Sun, May 16 | ![]() | @ | ![]() | |||||||||||
Thu, May 20 | ![]() | @ | ![]() | |||||||||||
Fri, May 21 | ![]() | @ | ![]() | |||||||||||
Wed, May 26 | ![]() | @ | ![]() | |||||||||||
Thu, May 27 | ![]() | @ | ![]() | |||||||||||
Sun, May 30 | ![]() | @ | ![]() | |||||||||||
Tue, Jun 1 | ![]() | @ | ![]() | |||||||||||
Fri, Jun 4 | ![]() | @ | ![]() | |||||||||||
Sun, Jun 6 | ![]() | @ | ![]() | |||||||||||
Mon, Jun 7 | ![]() | @ | ![]() | |||||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
Wed, Jun 9 | ![]() | @ | ![]() | |||||||||||
Fri, Jun 11 | ![]() | @ | ![]() | |||||||||||
Sun, Jun 13 | ![]() | @ | ![]() | |||||||||||
Mon, Jun 14 | ![]() | @ | ![]() | |||||||||||
Fri, Jun 18 | ![]() | @ | ![]() | |||||||||||
Tue, Jun 22 | ![]() | @ | ![]() | |||||||||||
Fri, Jun 25 | ![]() | @ | ![]() | |||||||||||
Sun, Jun 27 | ![]() | @ | ![]() | |||||||||||
Sat, Jul 3 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
65,418,332$ | 0$ | 67,149,618$ | 11,850,382$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Burlington | ||
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 | 115094 | 93785 | 37368 | 73288 | 19058 |
Attendance PCT | 79.93% | 78.15% | 77.85% | 76.34% | 79.41% |
Income | |||||
---|---|---|---|---|---|
![]() |
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
17 | 14108 - 78.38% | 988,406$ | 23,721,740$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
65,418,332$ | 65,418,332$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
36,319,282$ | 351,711$ | 36,319,282$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
16,802,899$ | 83 | 351,711$ | 29,192,013$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
29,982,293$ | 67,149,618$ | 247,635,601$ | 235,759,309$ |
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 |
---|---|---|---|---|---|---|---|
2021 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2022 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2023 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Arsen Khisamutdinov | ![]() | 2019 | 179 | ||
Cole Perfetti | ![]() | 2020 | 10 | ||
Connor McClennon | ![]() | 2020 | 149 | ||
Ethan Haider | ![]() | 2019 | 151 | ||
Luke Reid | ![]() | 2020 | 177 | ||
Mads Sogaard | ![]() | 2019 | 39 | ||
Martin Chromiak | ![]() | 2020 | 121 | ||
Maxwell Crozier | ![]() | 2019 | 123 | ||
Nicolas Daws | ![]() | 2020 | 93 | ||
Ryan O'Rourke | ![]() | 2020 | 37 | ||
Vasili Podkolzin | ![]() | 2019 | 11 | ||
Viktor Lodin | ![]() | 2019 | 95 | ||
William Cuylle | ![]() | 2020 | 65 | ||
Zachary Jones | ![]() | 2019 | 67 |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
---|---|---|---|---|---|---|---|
2021 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2022 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2023 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Arsen Khisamutdinov | ![]() | 2019 | 179 | ||
Cole Perfetti | ![]() | 2020 | 10 | ||
Connor McClennon | ![]() | 2020 | 149 | ||
Ethan Haider | ![]() | 2019 | 151 | ||
Luke Reid | ![]() | 2020 | 177 | ||
Mads Sogaard | ![]() | 2019 | 39 | ||
Martin Chromiak | ![]() | 2020 | 121 | ||
Maxwell Crozier | ![]() | 2019 | 123 | ||
Nicolas Daws | ![]() | 2020 | 93 | ||
Ryan O'Rourke | ![]() | 2020 | 37 | ||
Vasili Podkolzin | ![]() | 2019 | 11 | ||
Viktor Lodin | ![]() | 2019 | 95 | ||
William Cuylle | ![]() | 2020 | 65 | ||
Zachary Jones | ![]() | 2019 | 67 |
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