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Toronto Maple Leafs 27-17-2, 56pts · 6th in Eastern Conference |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 99.00 | 57 | 36 | 93 | 78 | 79 | 87 | 90 | 75 | 59 | 79 | 73 | 61 | 76 | 90 | 77 | 45 | 89 | 0 | 35 | 2,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 66 | 43 | 83 | 73 | 70 | 86 | 90 | 72 | 74 | 66 | 71 | 80 | 73 | 75 | 71 | 64 | 89 | 0 | 30 | 2,900,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 57 | 34 | 88 | 70 | 72 | 86 | 89 | 68 | 81 | 67 | 72 | 84 | 68 | 69 | 71 | 65 | 88 | 0 | 27 | 3,850,000$/3yrs | |||
![]() | 0 | C | 99.00 | 66 | 36 | 74 | 77 | 73 | 89 | 94 | 79 | 86 | 84 | 76 | 68 | 75 | 80 | 77 | 53 | 84 | 0 | 32 | 7,000,000$/7yrs | |||
![]() | 0 | LW | 100.00 | 66 | 33 | 93 | 76 | 65 | 85 | 83 | 77 | 57 | 75 | 72 | 63 | 78 | 80 | 73 | 42 | 88 | 0 | 32 | 3,200,000$/1yrs | |||
![]() | 0 | C | 100.00 | 56 | 37 | 82 | 66 | 87 | 77 | 84 | 67 | 86 | 71 | 67 | 69 | 73 | 92 | 81 | 35 | 81 | 0 | 39 | 750,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 62 | 39 | 83 | 79 | 84 | 88 | 83 | 76 | 61 | 78 | 86 | 62 | 81 | 83 | 79 | 45 | 86 | 0 | 34 | 7,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 56 | 34 | 86 | 77 | 69 | 87 | 90 | 76 | 58 | 75 | 77 | 62 | 78 | 67 | 71 | 42 | 89 | 0 | 27 | 4,750,000$/2yrs | |||
![]() | 0 | LW | 99.00 | 58 | 36 | 89 | 83 | 79 | 86 | 90 | 78 | 63 | 79 | 74 | 61 | 80 | 79 | 73 | 71 | 92 | 0 | 31 | 5,750,000$/3yrs | |||
![]() | 0 | C | 100.00 | 63 | 39 | 81 | 72 | 87 | 85 | 90 | 75 | 86 | 77 | 73 | 68 | 76 | 79 | 73 | 71 | 83 | 0 | 30 | 8,000,000$/3yrs | |||
![]() | 0 | C | 100.00 | 90 | 72 | 82 | 65 | 91 | 86 | 90 | 65 | 85 | 64 | 67 | 90 | 63 | 73 | 71 | 54 | 79 | 0 | 29 | 2,300,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 35 | 93 | 75 | 73 | 88 | 87 | 73 | 59 | 72 | 74 | 80 | 71 | 78 | 73 | 52 | 86 | 0 | 31 | 1,000,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 56 | 72 | 63 | 82 | 69 | 83 | 85 | 79 | 79 | 74 | 74 | 68 | 74 | 73 | 69 | 71 | 89 | 0 | 27 | 2,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 73 | 37 | 85 | 76 | 71 | 86 | 90 | 73 | 84 | 72 | 71 | 75 | 73 | 75 | 74 | 38 | 80 | 0 | 31 | 3,300,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 47 | 68 | 59 | 91 | 88 | 85 | 57 | 30 | 70 | 58 | 87 | 50 | 73 | 71 | 67 | 84 | 0 | 30 | 875,000$/1yrs | |||
![]() | 0 | D | 99.00 | 67 | 45 | 73 | 63 | 82 | 87 | 90 | 60 | 30 | 72 | 55 | 81 | 47 | 80 | 74 | 49 | 87 | 0 | 33 | 3,800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 89 | 46 | 77 | 59 | 88 | 85 | 74 | 56 | 30 | 64 | 55 | 84 | 45 | 85 | 75 | 23 | 87 | 0 | 36 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 56 | 37 | 93 | 71 | 83 | 94 | 93 | 70 | 30 | 78 | 68 | 81 | 56 | 81 | 72 | 66 | 89 | 0 | 31 | 6,500,000$/4yrs | |||
![]() | 0 | D | 100.00 | 84 | 42 | 79 | 64 | 78 | 91 | 82 | 63 | 30 | 74 | 60 | 85 | 51 | 72 | 69 | 59 | 88 | 0 | 29 | 3,500,000$/1yrs | |||
![]() | 0 | D | 99.00 | 64 | 38 | 86 | 70 | 98 | 93 | 88 | 65 | 30 | 78 | 62 | 86 | 53 | 72 | 70 | 52 | 89 | 0 | 29 | 6,500,000$/8yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.75 | 66 | 42 | 83 | 72 | 79 | 87 | 87 | 70 | 60 | 73 | 69 | 75 | 67 | 78 | 73 | 53 | 86 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 88 | 93 | 85 | 77 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 67 | 77 | 58 | 84 | 0 | 27 | 1,700,000$/1yrs |
![]() | 0 | 97.00 | 95 | 91 | 92 | 95 | 94 | 93 | 95 | 94 | 93 | 95 | 94 | 78 | 86 | 53 | 68 | 0 | 32 | 5,250,000$/5yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 92 | 92 | 89 | 86 | 91 | 90 | 92 | 91 | 90 | 92 | 91 | 73 | 82 | 56 | 76 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Darryl Sutter | 82 | 91 | 87 | 83 | 95 | 89 | 49 | CAN | 64 | 1 | 500,000$ |
General Manager | Adam J Forest |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nazem Kadri | 0 | C | 45 | 15 | 28 | 43 | -8 | 24 | 0 | 101 | 133 | 27 | 119 | 11.28% | 17 | 19.37 | 2 | 8 | 10 | 66 | 0 | 0 | 0 | 18 | 0 | 1 | 50.58% | 1127 | 33 | 10 | 0 | 0 | 0.99 | 0 | 3 | ||
2 | Ryan Johansen | 0 | C | 48 | 20 | 23 | 43 | 12 | 8 | 0 | 83 | 140 | 42 | 95 | 14.29% | 28 | 19.10 | 2 | 5 | 7 | 79 | 0 | 0 | 0 | 40 | 4 | 0 | 51.45% | 1100 | 17 | 25 | 0 | 0 | 0.94 | 1 | 3 | ||
3 | Taylor Hall | 0 | LW | 46 | 17 | 23 | 40 | -6 | 6 | 0 | 65 | 138 | 48 | 69 | 12.32% | 24 | 18.59 | 1 | 7 | 8 | 71 | 0 | 0 | 0 | 3 | 3 | 2 | 47.46% | 59 | 43 | 7 | 0 | 0 | 0.94 | 1 | 3 | ||
4 | Victor Olofsson | 0 | LW/RW | 46 | 19 | 20 | 39 | -9 | 0 | 0 | 48 | 142 | 36 | 92 | 13.38% | 12 | 17.12 | 6 | 3 | 9 | 61 | 0 | 0 | 0 | 5 | 3 | 2 | 41.51% | 53 | 30 | 10 | 0 | 1 | 0.99 | 1 | 1 | ||
5 | Max Pacioretty | 0 | LW | 46 | 20 | 14 | 34 | 4 | 14 | 0 | 67 | 141 | 33 | 75 | 14.18% | 15 | 17.90 | 3 | 3 | 6 | 70 | 0 | 0 | 0 | 18 | 7 | 0 | 51.79% | 56 | 40 | 12 | 0 | 0 | 0.83 | 1 | 3 | ||
6 | Phil Kessel | 0 | RW | 46 | 13 | 15 | 28 | 3 | 0 | 0 | 50 | 129 | 32 | 72 | 10.08% | 13 | 16.89 | 2 | 3 | 5 | 66 | 0 | 0 | 0 | 1 | 2 | 1 | 40.00% | 45 | 29 | 16 | 0 | 0 | 0.72 | 1 | 2 | ||
7 | Erik Haula | 0 | C/LW | 49 | 8 | 14 | 22 | 3 | 14 | 0 | 54 | 95 | 40 | 70 | 8.42% | 15 | 13.90 | 0 | 1 | 1 | 16 | 1 | 1 | 2 | 19 | 0 | 0 | 48.96% | 96 | 36 | 11 | 0 | 0 | 0.65 | 0 | 0 | ||
8 | Vladislav Namestnikov | 0 | C/LW/RW | 46 | 13 | 8 | 21 | 4 | 8 | 0 | 55 | 92 | 14 | 57 | 14.13% | 13 | 12.42 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 67 | 5 | 1 | 36.11% | 36 | 14 | 12 | 1 | 0 | 0.74 | 0 | 0 | ||
9 | J.T. Compher | 0 | C/LW/RW | 46 | 8 | 13 | 21 | 8 | 4 | 0 | 23 | 69 | 24 | 46 | 11.59% | 10 | 11.95 | 0 | 0 | 0 | 3 | 0 | 2 | 2 | 66 | 1 | 2 | 44.71% | 85 | 16 | 11 | 0 | 0 | 0.76 | 0 | 0 | ||
10 | Ian Cole | 0 | D | 48 | 3 | 18 | 21 | 10 | 20 | 0 | 79 | 53 | 22 | 15 | 5.66% | 54 | 20.77 | 1 | 2 | 3 | 46 | 0 | 0 | 0 | 55 | 0 | 1 | 0.00% | 0 | 11 | 40 | 0 | 0 | 0.42 | 0 | 0 | ||
11 | Reilly Smith | 0 | LW/RW | 47 | 10 | 11 | 21 | 6 | 0 | 0 | 59 | 107 | 30 | 56 | 9.35% | 16 | 15.63 | 0 | 1 | 1 | 13 | 2 | 0 | 2 | 50 | 4 | 0 | 28.57% | 28 | 25 | 18 | 0 | 0 | 0.57 | 0 | 0 | ||
12 | Adam Lowry | 0 | C | 45 | 9 | 11 | 20 | 3 | 18 | 0 | 75 | 69 | 17 | 41 | 13.04% | 19 | 14.90 | 2 | 0 | 2 | 34 | 1 | 0 | 1 | 57 | 0 | 1 | 50.10% | 499 | 9 | 17 | 0 | 0 | 0.60 | 0 | 1 | ||
13 | Tomas Tatar | 0 | LW | 46 | 5 | 11 | 16 | -2 | 0 | 0 | 23 | 110 | 25 | 55 | 4.55% | 7 | 10.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 23.53% | 17 | 22 | 9 | 0 | 0 | 0.66 | 0 | 0 | ||
14 | Colton Parayko | 0 | D | 46 | 1 | 11 | 12 | 4 | 8 | 0 | 66 | 65 | 35 | 24 | 1.54% | 74 | 23.19 | 1 | 1 | 2 | 69 | 0 | 0 | 0 | 70 | 0 | 0 | 0.00% | 0 | 12 | 36 | 0 | 0 | 0.22 | 0 | 0 | ||
15 | Cam Fowler | 0 | D | 46 | 4 | 7 | 11 | 5 | 2 | 0 | 31 | 55 | 21 | 26 | 7.27% | 47 | 20.26 | 3 | 2 | 5 | 69 | 0 | 0 | 0 | 68 | 1 | 0 | 0.00% | 0 | 11 | 32 | 0 | 0 | 0.24 | 0 | 0 | ||
16 | Jake McCabe | 0 | D | 46 | 0 | 10 | 10 | 3 | 22 | 0 | 100 | 54 | 24 | 21 | 0.00% | 48 | 21.04 | 0 | 0 | 0 | 69 | 0 | 0 | 0 | 65 | 0 | 0 | 0.00% | 0 | 9 | 37 | 0 | 0 | 0.21 | 0 | 0 | ||
17 | Max Domi | 0 | C/LW | 44 | 5 | 3 | 8 | -2 | 14 | 0 | 46 | 58 | 17 | 30 | 8.62% | 5 | 8.28 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 52.97% | 219 | 12 | 6 | 0 | 0 | 0.44 | 0 | 0 | ||
18 | Roman Polak | 0 | D | 46 | 0 | 6 | 6 | -2 | 20 | 0 | 75 | 26 | 15 | 9 | 0.00% | 48 | 15.16 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 5 | 23 | 0 | 0 | 0.17 | 0 | 0 | ||
19 | Jason Spezza | 0 | C | 48 | 1 | 2 | 3 | -11 | 0 | 0 | 16 | 19 | 10 | 19 | 5.26% | 8 | 4.78 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 1 | 0 | 0 | 57.14% | 70 | 4 | 4 | 0 | 0 | 0.26 | 0 | 0 | ||
20 | Derek Forbort | 0 | D | 45 | 0 | 2 | 2 | -5 | 16 | 0 | 55 | 20 | 10 | 15 | 0.00% | 54 | 13.95 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 19 | 0 | 0 | 0.00% | 0 | 4 | 27 | 0 | 0 | 0.06 | 0 | 0 | ||
Team Total or Average | 925 | 171 | 250 | 421 | 20 | 198 | 0 | 1171 | 1715 | 522 | 1006 | 9.97% | 527 | 15.79 | 23 | 36 | 59 | 758 | 4 | 4 | 8 | 670 | 31 | 11 | 50.11% | 3490 | 382 | 363 | 1 | 1 | 0.58 | 5 | 16 |
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 | Darcy Kuemper | 36 | 10 | 19 | 6 | 0.900 | 3.27 | 2150 | 2 | 2 | 117 | 1173 | 444 | 1 | 0 | 0.600 | 10 | 35 | 10 | 4 | 1 | 2 | |
2 | Kevin Lankinen | 8 | 4 | 3 | 0 | 0.927 | 2.75 | 437 | 2 | 0 | 20 | 274 | 115 | 0 | 0 | 0.600 | 5 | 8 | 30 | 0 | 0 | 3 | |
Team Total or Average | 44 | 14 | 22 | 6 | 0.905 | 3.18 | 2587 | 4 | 2 | 137 | 1447 | 559 | 1 | 0 | 0.600 | 15 | 43 | 40 | 4 | 1 | 5 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 4 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 14 | 9 | 5 | 6 | 0.750 | 14 | 19 | 33 | 0 | 0 | 3 | 5 | 4 | 2 | 142 | 37 | 47 | 53 | 9 | 157 | 45 | 14 | 96 | 12 | 5 | 41.67% | 7 | 1 | 85.71% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 81 | 48 | 97 | 36 | 66 | 31 | 52.9% | 9.9% | 94.3% | 104.1 | LUCKY | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 33 | 8 | 18 | 7 | 0 | 36 | 9 | 2 | 24 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 18 | 11 | 25 | 9 | 15 | 7 | 66.7% | 12.1% | 94.4% | 106.6 | LUCKY | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 0 | 2 | 1 | 0 | 43 | 8 | 21 | 14 | 0 | 33 | 9 | 6 | 28 | 2 | 2 | 100.00% | 3 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 23 | 14 | 20 | 8 | 15 | 7 | 50.0% | 7.0% | 97.0% | 103.9 | DULL | |
4 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 6 | 9 | 6 | 1.000 | 15 | 24 | 39 | 0 | 0 | 3 | 4 | 8 | 0 | 104 | 29 | 36 | 39 | 0 | 90 | 31 | 18 | 58 | 8 | 1 | 12.50% | 9 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 64 | 38 | 62 | 27 | 53 | 26 | 70.0% | 14.4% | 93.3% | 107.8 | LUCKY | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 1 | 0 | 30 | 11 | 10 | 9 | 0 | 37 | 12 | 6 | 25 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 1 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 19 | 10 | 23 | 9 | 16 | 8 | 50.0% | 16.7% | 89.2% | 105.9 | FUN | |
6 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 0 | 3 | 35 | 5 | 10 | 18 | 7 | 38 | 3 | 8 | 25 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 21 | 12 | 25 | 10 | 18 | 8 | 80.0% | 11.4% | 92.1% | 103.5 | LUCKY | |
7 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 3 | 0 | 1 | 1 | 57 | 27 | 8 | 21 | 1 | 77 | 34 | 14 | 50 | 2 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 39 | 22 | 46 | 17 | 34 | 16 | 41.7% | 8.8% | 90.9% | 99.7 | Unlucky | |
8 | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 11 | 18 | -7 | 2 | 0.250 | 11 | 16 | 27 | 1 | 0 | 3 | 6 | 1 | 1 | 132 | 42 | 42 | 43 | 5 | 131 | 56 | 8 | 108 | 10 | 1 | 10.00% | 4 | 1 | 75.00% | 1 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 86 | 52 | 88 | 37 | 69 | 32 | 37.0% | 8.3% | 86.3% | 94.6 | Unlucky | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 1 | 3 | 3 | 0 | 80 | 25 | 25 | 30 | 0 | 71 | 20 | 8 | 41 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 42 | 26 | 46 | 16 | 31 | 15 | 54.5% | 8.8% | 91.5% | 100.3 | DULL | |
10 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 12 | 12 | 0 | 3 | 0.500 | 12 | 21 | 33 | 0 | 0 | 3 | 6 | 3 | 0 | 116 | 37 | 38 | 40 | 1 | 115 | 41 | 14 | 80 | 2 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 63 | 38 | 71 | 24 | 49 | 24 | 54.5% | 10.3% | 89.6% | 99.9 | FUN | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 26 | 6 | 13 | 7 | 0 | 42 | 13 | 2 | 29 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 20 | 12 | 23 | 8 | 15 | 7 | 60.0% | 11.5% | 95.2% | 106.8 | LUCKY | |
12 | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 11 | 7 | 4 | 6 | 1.000 | 11 | 16 | 27 | 0 | 0 | 1 | 6 | 2 | 2 | 103 | 32 | 44 | 22 | 11 | 107 | 50 | 18 | 72 | 8 | 2 | 25.00% | 9 | 3 | 66.67% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 62 | 36 | 76 | 27 | 50 | 23 | 69.2% | 10.7% | 93.5% | 104.1 | LUCKY | |
13 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 0 | 1 | 28 | 11 | 12 | 3 | 2 | 30 | 10 | 2 | 20 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 21 | 14 | 23 | 8 | 15 | 7 | 66.7% | 14.3% | 90.0% | 104.3 | FUN | |
14 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 22 | 6 | 6 | 8 | 2 | 34 | 12 | 4 | 21 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 20 | 11 | 23 | 10 | 18 | 9 | 0.0% | 4.5% | 94.1% | 98.7 | DULL | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 70 | 23 | 25 | 22 | 0 | 66 | 13 | 10 | 51 | 5 | 3 | 60.00% | 5 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 43 | 26 | 41 | 17 | 35 | 17 | 25.0% | 7.1% | 90.9% | 98.1 | Unlucky | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 36 | 7 | 9 | 20 | 0 | 40 | 18 | 6 | 20 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 17 | 10 | 26 | 8 | 15 | 7 | 60.0% | 8.3% | 95.0% | 103.3 | DULL | |
17 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 18 | 16 | 2 | 4 | 0.500 | 18 | 31 | 49 | 1 | 0 | 4 | 8 | 6 | 0 | 131 | 33 | 50 | 48 | 0 | 138 | 38 | 22 | 85 | 7 | 3 | 42.86% | 11 | 3 | 72.73% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 85 | 52 | 88 | 33 | 66 | 31 | 53.6% | 13.7% | 88.4% | 102.1 | FUN | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 27 | 10 | 5 | 12 | 0 | 31 | 7 | 2 | 14 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 18 | 11 | 24 | 9 | 17 | 7 | 20.0% | 3.7% | 87.1% | 90.8 | Unlucky | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 0 | 2 | 0 | 37 | 17 | 5 | 15 | 0 | 29 | 10 | 0 | 24 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 22 | 14 | 20 | 7 | 17 | 9 | 80.0% | 10.8% | 96.6% | 107.4 | LUCKY | |
20 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 4 | 0.500 | 9 | 16 | 25 | 0 | 0 | 2 | 7 | 0 | 0 | 130 | 37 | 54 | 39 | 0 | 137 | 43 | 8 | 81 | 12 | 2 | 16.67% | 3 | 1 | 66.67% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 81 | 49 | 94 | 34 | 63 | 31 | 41.2% | 6.9% | 92.0% | 98.9 | DULL | |
21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 7 | 11 | 0 | 1 | 1 | 2 | 1 | 0 | 35 | 15 | 9 | 11 | 0 | 17 | 11 | 4 | 35 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 24 | 14 | 16 | 8 | 19 | 10 | 100.0% | 11.4% | 100.0% | 111.4 | LUCKY | |
22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 1 | 0 | 26 | 10 | 1 | 15 | 0 | 37 | 10 | 4 | 23 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 17 | 9 | 25 | 8 | 16 | 8 | 40.0% | 7.7% | 89.2% | 96.9 | Unlucky | |
23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 72 | 26 | 27 | 19 | 0 | 65 | 15 | 8 | 37 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 43 | 26 | 42 | 16 | 34 | 16 | 20.0% | 2.8% | 87.7% | 90.5 | Unlucky | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 31 | 10 | 10 | 11 | 0 | 40 | 14 | 4 | 23 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 19 | 11 | 23 | 9 | 16 | 7 | 16.7% | 3.2% | 87.5% | 90.7 | Unlucky | |
_Vs Division | 18 | 4 | 11 | 0 | 2 | 0 | 1 | 0 | 43 | 61 | -18 | 14 | 0.389 | 43 | 66 | 109 | 1 | 0 | 10 | 23 | 7 | 3 | 604 | 185 | 210 | 199 | 14 | 627 | 193 | 54 | 410 | 43 | 11 | 25.58% | 25 | 3 | 88.00% | 1 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 374 | 225 | 412 | 161 | 302 | 144 | 35.6% | 7.1% | 90.3% | 97.4 | Unlucky | |
_Vs Conference | 32 | 10 | 15 | 0 | 4 | 1 | 2 | 0 | 95 | 103 | -8 | 33 | 0.516 | 95 | 149 | 244 | 2 | 0 | 22 | 41 | 26 | 6 | 1047 | 322 | 355 | 352 | 28 | 1110 | 368 | 134 | 719 | 71 | 18 | 25.35% | 65 | 11 | 83.08% | 1 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 664 | 396 | 734 | 284 | 542 | 260 | 45.6% | 9.1% | 90.7% | 99.8 | FUN | |
_Since Last GM Reset | 46 | 19 | 17 | 0 | 5 | 2 | 3 | 0 | 148 | 139 | 9 | 56 | 0.609 | 148 | 236 | 384 | 2 | 1 | 34 | 63 | 43 | 10 | 1546 | 472 | 525 | 526 | 38 | 1598 | 524 | 192 | 1070 | 91 | 22 | 24.18% | 94 | 17 | 81.91% | 2 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 960 | 575 | 1057 | 404 | 773 | 373 | 50.8% | 9.6% | 91.3% | 100.9 | LUCKY | |
Total | 46 | 19 | 17 | 0 | 5 | 2 | 3 | 0 | 148 | 139 | 9 | 56 | 0.609 | 148 | 236 | 384 | 2 | 1 | 34 | 63 | 43 | 10 | 1546 | 472 | 525 | 526 | 38 | 1598 | 524 | 192 | 1070 | 91 | 22 | 24.18% | 94 | 17 | 81.91% | 2 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 960 | 575 | 1057 | 404 | 773 | 373 | 50.8% | 9.6% | 91.3% | 100.9 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 16 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 1083 |
Neutral Zone Start | 690 |
Defensive Zone Start | 1146 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1476 |
Faceoffs Lost | 1443 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 21.7 | 20.31 |
3rd Period | 33.1 | 30.68 |
Overtime | 33.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 122 |
---|---|
PP Goal | 22 |
PK Goal | 2 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 12 | 15 |
Lost | 11 | 6 |
Overtime Lost | 1 | 1 |
PP Attempt | 91 |
---|---|
PP Goal | 22 |
PK Attempt | 94 |
PK Goal Against | 17 |
Home | |
---|---|
Shots For | 33.6 |
Shots Against | 34.7 |
Goals For | 3.2 |
Goals Against | 3.0 |
Hits | 23.3 |
Shots Blocked | 11.4 |
Pim | 4.2 |
Projected Total Cap Hit | 82,675,000$ |
Projected Cap Space | 2,325,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 47,825,846$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Maple Leafs Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Lowry | C | 29 | 2,300,000$ | 2,300,000$ | 2,300,000$ | UFA | |||||
Cam Fowler | D | 31 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||
Colton Parayko | D | 29 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ |
Darcy Kuemper | G | 32 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | ||
Derek Forbort ![]() | D | 30 | 875,000$ | 875,000$ | UFA | ||||||
Erik Haula ![]() | C/LW | 31 | 3,300,000$ | 3,300,000$ | UFA | ||||||
Ian Cole | D | 33 | 3,800,000$ | 3,800,000$ | UFA | ||||||
J.T. Compher | C/LW/RW | 27 | 3,850,000$ | 3,850,000$ | 3,850,000$ | 3,850,000$ | UFA | ||||
Jake McCabe | D | 29 | 3,500,000$ | 3,500,000$ | |||||||
Jason Spezza ![]() | C | 39 | 750,000$ | 750,000$ | UFA | ||||||
Kevin Lankinen ![]() | G | 27 | 1,700,000$ | 1,700,000$ | |||||||
Max Domi | C/LW | 27 | 2,000,000$ | 2,000,000$ | |||||||
Max Pacioretty | LW | 34 | 7,000,000$ | 7,000,000$ | UFA | ||||||
Nazem Kadri | C | 32 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA |
Phil Kessel | RW | 35 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Reilly Smith | LW/RW | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Roman Polak ![]() | D | 36 | 750,000$ | 750,000$ | UFA | ||||||
Ryan Johansen | C | 30 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||
Taylor Hall ![]() | LW | 31 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | ||||
Tomas Tatar | LW | 32 | 3,200,000$ | 3,200,000$ | UFA | ||||||
Victor Olofsson ![]() | LW/RW | 27 | 4,750,000$ | 4,750,000$ | 4,750,000$ | ||||||
Vladislav Namestnikov | C/LW/RW | 30 | 2,900,000$ | 2,900,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alec Regula ![]() | D | 22 | 866,667$ | 866,667$ | RFA | ||||||
Alex Stalock ![]() | G | 35 | 750,000$ | 750,000$ | UFA | ||||||
Brad Richardson ![]() | RW | 37 | 750,000$ | 750,000$ | UFA | ||||||
Cory Schneider ![]() | G | 36 | 750,000$ | 750,000$ | UFA | ||||||
German Rubtsov ![]() | C | 24 | 750,000$ | 750,000$ | RFA | ||||||
Joachim Blichfeld ![]() | LW/RW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Nick Caamano ![]() | LW/RW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Nico Sturm ![]() | C | 27 | 1,930,000$ | 1,930,000$ | 1,930,000$ | 1,930,000$ | UFA | ||||
Ryan Carpenter ![]() | C | 32 | 750,000$ | 750,000$ | UFA | ||||||
Ryan Poehling ![]() | C/LW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Sebastien Aho ![]() | D | 26 | 825,000$ | 825,000$ | 825,000$ |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 4 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 14 | 9 | 5 | 6 | 0.750 | 14 | 19 | 33 | 0 | 0 | 3 | 5 | 4 | 2 | 142 | 37 | 47 | 53 | 9 | 157 | 45 | 14 | 96 | 12 | 5 | 41.67% | 7 | 1 | 85.71% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 81 | 48 | 97 | 36 | 66 | 31 | 52.9% | 9.9% | 94.3% | 104.1 | LUCKY | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 33 | 8 | 18 | 7 | 0 | 36 | 9 | 2 | 24 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 18 | 11 | 25 | 9 | 15 | 7 | 66.7% | 12.1% | 94.4% | 106.6 | LUCKY | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 0 | 2 | 1 | 0 | 43 | 8 | 21 | 14 | 0 | 33 | 9 | 6 | 28 | 2 | 2 | 100.00% | 3 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 23 | 14 | 20 | 8 | 15 | 7 | 50.0% | 7.0% | 97.0% | 103.9 | DULL | |
4 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 6 | 9 | 6 | 1.000 | 15 | 24 | 39 | 0 | 0 | 3 | 4 | 8 | 0 | 104 | 29 | 36 | 39 | 0 | 90 | 31 | 18 | 58 | 8 | 1 | 12.50% | 9 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 64 | 38 | 62 | 27 | 53 | 26 | 70.0% | 14.4% | 93.3% | 107.8 | LUCKY | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 1 | 0 | 30 | 11 | 10 | 9 | 0 | 37 | 12 | 6 | 25 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 1 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 19 | 10 | 23 | 9 | 16 | 8 | 50.0% | 16.7% | 89.2% | 105.9 | FUN | |
6 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 0 | 3 | 35 | 5 | 10 | 18 | 7 | 38 | 3 | 8 | 25 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 21 | 12 | 25 | 10 | 18 | 8 | 80.0% | 11.4% | 92.1% | 103.5 | LUCKY | |
7 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 3 | 0 | 1 | 1 | 57 | 27 | 8 | 21 | 1 | 77 | 34 | 14 | 50 | 2 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 39 | 22 | 46 | 17 | 34 | 16 | 41.7% | 8.8% | 90.9% | 99.7 | Unlucky | |
8 | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 11 | 18 | -7 | 2 | 0.250 | 11 | 16 | 27 | 1 | 0 | 3 | 6 | 1 | 1 | 132 | 42 | 42 | 43 | 5 | 131 | 56 | 8 | 108 | 10 | 1 | 10.00% | 4 | 1 | 75.00% | 1 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 86 | 52 | 88 | 37 | 69 | 32 | 37.0% | 8.3% | 86.3% | 94.6 | Unlucky | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 1 | 3 | 3 | 0 | 80 | 25 | 25 | 30 | 0 | 71 | 20 | 8 | 41 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 42 | 26 | 46 | 16 | 31 | 15 | 54.5% | 8.8% | 91.5% | 100.3 | DULL | |
10 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 12 | 12 | 0 | 3 | 0.500 | 12 | 21 | 33 | 0 | 0 | 3 | 6 | 3 | 0 | 116 | 37 | 38 | 40 | 1 | 115 | 41 | 14 | 80 | 2 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 63 | 38 | 71 | 24 | 49 | 24 | 54.5% | 10.3% | 89.6% | 99.9 | FUN | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 26 | 6 | 13 | 7 | 0 | 42 | 13 | 2 | 29 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 20 | 12 | 23 | 8 | 15 | 7 | 60.0% | 11.5% | 95.2% | 106.8 | LUCKY | |
12 | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 11 | 7 | 4 | 6 | 1.000 | 11 | 16 | 27 | 0 | 0 | 1 | 6 | 2 | 2 | 103 | 32 | 44 | 22 | 11 | 107 | 50 | 18 | 72 | 8 | 2 | 25.00% | 9 | 3 | 66.67% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 62 | 36 | 76 | 27 | 50 | 23 | 69.2% | 10.7% | 93.5% | 104.1 | LUCKY | |
13 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 0 | 1 | 28 | 11 | 12 | 3 | 2 | 30 | 10 | 2 | 20 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 21 | 14 | 23 | 8 | 15 | 7 | 66.7% | 14.3% | 90.0% | 104.3 | FUN | |
14 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 22 | 6 | 6 | 8 | 2 | 34 | 12 | 4 | 21 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 20 | 11 | 23 | 10 | 18 | 9 | 0.0% | 4.5% | 94.1% | 98.7 | DULL | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 70 | 23 | 25 | 22 | 0 | 66 | 13 | 10 | 51 | 5 | 3 | 60.00% | 5 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 43 | 26 | 41 | 17 | 35 | 17 | 25.0% | 7.1% | 90.9% | 98.1 | Unlucky | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 36 | 7 | 9 | 20 | 0 | 40 | 18 | 6 | 20 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 17 | 10 | 26 | 8 | 15 | 7 | 60.0% | 8.3% | 95.0% | 103.3 | DULL | |
17 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 18 | 16 | 2 | 4 | 0.500 | 18 | 31 | 49 | 1 | 0 | 4 | 8 | 6 | 0 | 131 | 33 | 50 | 48 | 0 | 138 | 38 | 22 | 85 | 7 | 3 | 42.86% | 11 | 3 | 72.73% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 85 | 52 | 88 | 33 | 66 | 31 | 53.6% | 13.7% | 88.4% | 102.1 | FUN | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 27 | 10 | 5 | 12 | 0 | 31 | 7 | 2 | 14 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 18 | 11 | 24 | 9 | 17 | 7 | 20.0% | 3.7% | 87.1% | 90.8 | Unlucky | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 0 | 2 | 0 | 37 | 17 | 5 | 15 | 0 | 29 | 10 | 0 | 24 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 22 | 14 | 20 | 7 | 17 | 9 | 80.0% | 10.8% | 96.6% | 107.4 | LUCKY | |
20 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 4 | 0.500 | 9 | 16 | 25 | 0 | 0 | 2 | 7 | 0 | 0 | 130 | 37 | 54 | 39 | 0 | 137 | 43 | 8 | 81 | 12 | 2 | 16.67% | 3 | 1 | 66.67% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 81 | 49 | 94 | 34 | 63 | 31 | 41.2% | 6.9% | 92.0% | 98.9 | DULL | |
21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 7 | 11 | 0 | 1 | 1 | 2 | 1 | 0 | 35 | 15 | 9 | 11 | 0 | 17 | 11 | 4 | 35 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 24 | 14 | 16 | 8 | 19 | 10 | 100.0% | 11.4% | 100.0% | 111.4 | LUCKY | |
22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 1 | 0 | 26 | 10 | 1 | 15 | 0 | 37 | 10 | 4 | 23 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 17 | 9 | 25 | 8 | 16 | 8 | 40.0% | 7.7% | 89.2% | 96.9 | Unlucky | |
23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 72 | 26 | 27 | 19 | 0 | 65 | 15 | 8 | 37 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 43 | 26 | 42 | 16 | 34 | 16 | 20.0% | 2.8% | 87.7% | 90.5 | Unlucky | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 31 | 10 | 10 | 11 | 0 | 40 | 14 | 4 | 23 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 19 | 11 | 23 | 9 | 16 | 7 | 16.7% | 3.2% | 87.5% | 90.7 | Unlucky | |
_Vs Division | 18 | 4 | 11 | 0 | 2 | 0 | 1 | 0 | 43 | 61 | -18 | 14 | 0.389 | 43 | 66 | 109 | 1 | 0 | 10 | 23 | 7 | 3 | 604 | 185 | 210 | 199 | 14 | 627 | 193 | 54 | 410 | 43 | 11 | 25.58% | 25 | 3 | 88.00% | 1 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 374 | 225 | 412 | 161 | 302 | 144 | 35.6% | 7.1% | 90.3% | 97.4 | Unlucky | |
_Vs Conference | 32 | 10 | 15 | 0 | 4 | 1 | 2 | 0 | 95 | 103 | -8 | 33 | 0.516 | 95 | 149 | 244 | 2 | 0 | 22 | 41 | 26 | 6 | 1047 | 322 | 355 | 352 | 28 | 1110 | 368 | 134 | 719 | 71 | 18 | 25.35% | 65 | 11 | 83.08% | 1 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 664 | 396 | 734 | 284 | 542 | 260 | 45.6% | 9.1% | 90.7% | 99.8 | FUN | |
_Since Last GM Reset | 46 | 19 | 17 | 0 | 5 | 2 | 3 | 0 | 148 | 139 | 9 | 56 | 0.609 | 148 | 236 | 384 | 2 | 1 | 34 | 63 | 43 | 10 | 1546 | 472 | 525 | 526 | 38 | 1598 | 524 | 192 | 1070 | 91 | 22 | 24.18% | 94 | 17 | 81.91% | 2 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 960 | 575 | 1057 | 404 | 773 | 373 | 50.8% | 9.6% | 91.3% | 100.9 | LUCKY | |
Total | 46 | 19 | 17 | 0 | 5 | 2 | 3 | 0 | 148 | 139 | 9 | 56 | 0.609 | 148 | 236 | 384 | 2 | 1 | 34 | 63 | 43 | 10 | 1546 | 472 | 525 | 526 | 38 | 1598 | 524 | 192 | 1070 | 91 | 22 | 24.18% | 94 | 17 | 81.91% | 2 | 554 | 1083 | 51.15% | 569 | 1146 | 49.65% | 353 | 690 | 51.16% | 960 | 575 | 1057 | 404 | 773 | 373 | 50.8% | 9.6% | 91.3% | 100.9 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 16 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 1083 |
Neutral Zone Start | 690 |
Defensive Zone Start | 1146 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1476 |
Faceoffs Lost | 1443 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 21.7 | 20.31 |
3rd Period | 33.1 | 30.68 |
Overtime | 33.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 122 |
---|---|
PP Goal | 22 |
PK Goal | 2 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 12 | 15 |
Lost | 11 | 6 |
Overtime Lost | 1 | 1 |
PP Attempt | 91 |
---|---|
PP Goal | 22 |
PK Attempt | 94 |
PK Goal Against | 17 |
Home | |
---|---|
Shots For | 33.6 |
Shots Against | 34.7 |
Goals For | 3.2 |
Goals Against | 3.0 |
Hits | 23.3 |
Shots Blocked | 11.4 |
Pim | 4.2 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-09-27 | VS | BOS2,TOR6 | RECAP | |||||||||||
2022-09-29 | VS | TOR4,DAL5 (OT) | RECAP | |||||||||||
2022-10-02 | VS | TOR3,MTL2 | RECAP | |||||||||||
2022-10-05 | VS | CBJ5,TOR3 | RECAP | |||||||||||
2022-10-09 | VS | BOS2,TOR1 | RECAP | |||||||||||
2022-10-13 | VS | TOR1,TBL5 | RECAP | |||||||||||
2022-10-14 | VS | Buf4,TOR0 | RECAP | |||||||||||
2022-10-17 | VS | TOR3,DAL4 | RECAP | |||||||||||
2022-10-20 | VS | DET6,TOR1 | RECAP | |||||||||||
2022-10-25 | VS | FLA4,TOR1 | RECAP | |||||||||||
2022-10-28 | VS | TOR4,WSH3 (OT) | RECAP | |||||||||||
2022-10-31 | VS | OTT4,TOR2 | RECAP | |||||||||||
2022-11-04 | VS | TOR1,Buf3 | RECAP | |||||||||||
2022-11-06 | VS | Buf7,TOR5 | RECAP | |||||||||||
2022-11-09 | VS | CBJ2,TOR5 | RECAP | |||||||||||
2022-11-12 | VS | TOR5,DAL3 | RECAP | |||||||||||
2022-11-15 | VS | WSH4,TOR1 | RECAP | |||||||||||
2022-11-17 | VS | TOR3,EDM2 | RECAP | |||||||||||
2022-11-20 | VS | VAN1,TOR3 | RECAP | |||||||||||
2022-11-24 | VS | TOR3,NJD1 | RECAP | |||||||||||
2022-11-26 | VS | WPG4,TOR3 | RECAP | |||||||||||
2022-11-29 | VS | TOR2,MTL4 | RECAP | |||||||||||
2022-12-04 | VS | CBJ6,TOR4 | RECAP | |||||||||||
2022-12-09 | VS | OTT1,TOR4 | RECAP | |||||||||||
2022-12-14 | VS | TOR3,BOS2 (OT) | RECAP | |||||||||||
2022-12-15 | VS | PHI2,TOR4 | RECAP | |||||||||||
2022-12-18 | VS | TOR7,PHI3 | RECAP | |||||||||||
2022-12-20 | VS | TOR4,COL2 | RECAP | |||||||||||
2022-12-22 | VS | NYR4,TOR2 | RECAP | |||||||||||
2022-12-25 | VS | TOR4,PHI1 | RECAP | |||||||||||
2022-12-28 | VS | ARI1,TOR4 | RECAP | |||||||||||
2022-12-30 | VS | TOR5,Buf4 (OT) | RECAP | |||||||||||
2023-01-03 | VS | MIN0,TOR4 | RECAP | |||||||||||
2023-01-05 | VS | TOR4,SEA3 (SO) | RECAP | |||||||||||
2023-01-08 | VS | NJD2,TOR3 (OT) | RECAP | |||||||||||
2023-01-11 | VS | TOR5,NJD4 (SO) | RECAP | |||||||||||
2023-01-13 | VS | CGY2,TOR3 | RECAP | |||||||||||
2023-01-16 | VS | TOR5,NSH4 | RECAP | |||||||||||
2023-01-19 | VS | CHI3,TOR4 (OT) | RECAP | |||||||||||
2023-01-21 | VS | TOR1,OTT5 | RECAP | |||||||||||
2023-01-23 | VS | TOR6,CBJ3 | RECAP | |||||||||||
2023-01-26 | VS | WPG2,TOR4 | RECAP | |||||||||||
2023-01-30 | VS | CAR2,TOR1 (OT) | RECAP | |||||||||||
2023-02-04 | VS | TOR1,DET2 | RECAP | |||||||||||
2023-02-05 | VS | OTT1,TOR2 | RECAP | |||||||||||
2023-02-08 | VS | TOR4,BOS3 (SO) | RECAP | |||||||||||
2023-02-09 | VS | |||||||||||||
2023-02-12 | VS | |||||||||||||
2023-02-14 | VS | |||||||||||||
2023-02-16 | VS | |||||||||||||
2023-02-19 | VS | |||||||||||||
2023-02-21 | VS | |||||||||||||
2023-02-23 | VS | |||||||||||||
2023-02-26 | VS | |||||||||||||
2023-03-01 | VS | |||||||||||||
2023-03-04 | VS | |||||||||||||
2023-03-06 | VS | |||||||||||||
2023-03-10 | VS | |||||||||||||
2023-03-12 | VS | |||||||||||||
2023-03-14 | VS | |||||||||||||
2023-03-16 | VS | |||||||||||||
2023-03-18 | VS | |||||||||||||
2023-03-20 | VS | |||||||||||||
2023-03-22 | VS | |||||||||||||
2023-03-24 | VS | |||||||||||||
2023-03-26 | VS | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-03-29 | VS | |||||||||||||
2023-04-01 | VS | |||||||||||||
2023-04-03 | VS | |||||||||||||
2023-04-08 | VS | |||||||||||||
2023-04-12 | VS | |||||||||||||
2023-04-14 | VS | |||||||||||||
2023-04-19 | VS | |||||||||||||
2023-04-21 | VS | |||||||||||||
2023-04-24 | VS | |||||||||||||
2023-04-25 | VS | |||||||||||||
2023-04-28 | VS | |||||||||||||
2023-05-02 | VS | |||||||||||||
2023-05-03 | VS | |||||||||||||
2023-05-08 | VS | |||||||||||||
2023-05-09 | VS | |||||||||||||
2023-05-16 | VS |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,675,000$ | 0$ | 82,675,000$ | 2,325,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Scotiabank Arena | |
City | Toronto | ||
Capacity | 18819 | ||
Season Ticket Holders | 80% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2046 | 4600 | 1173 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 121942 | 103016 | 47971 | 88320 | 26911 |
Attendance PCT | 84.68% | 85.85% | 97.69% | 80.00% | 95.59% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
17 | 16173 - 85.94% | 2,028,144$ | 48,675,466$ | 18819 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,675,000$ | 82,675,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
48,427,953$ | 82,675,000$ | 47,825,846$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
34,478,455$ | 100 | 353,936$ | 35,393,600$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
36,186,560$ | 82,675,000$ | 99,040,525$ | 100,860,141$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
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 | |||||
Jake Virtanen | |||||
Lukas Elvenes | 0 | Link | |||
Mikhail Vorobyov | 2015 | 104 | 0 | Link | |
Nykolay Goldobin |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
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 | |||||
Jake Virtanen | |||||
Lukas Elvenes | 0 | Link | |||
Mikhail Vorobyov | 2015 | 104 | 0 | Link | |
Nykolay Goldobin |
|