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 | # | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Justin Brazeau | 0 | X | 100.00 | 71 | 43 | 94 | 62 | 93 | 88 | 82 | 61 | 65 | 62 | 60 | 64 | 59 | 65 | 67 | 42 | 50 | 65 | 0 | ||||
2 | Chris Wagner | 0 | X | X | 100.00 | 84 | 40 | 73 | 60 | 73 | 88 | 83 | 59 | 65 | 58 | 59 | 67 | 56 | 74 | 75 | 36 | 50 | 64 | 0 | |||
3 | Jake Leschyshyn | 0 | X | 100.00 | 66 | 37 | 88 | 63 | 71 | 76 | 84 | 64 | 78 | 65 | 59 | 62 | 66 | 64 | 66 | 68 | 50 | 63 | 0 | ||||
4 | Pierrick Dube | 0 | X | 100.00 | 55 | 38 | 78 | 64 | 65 | 95 | 67 | 63 | 66 | 61 | 64 | 57 | 63 | 62 | 64 | 42 | 50 | 62 | 0 | ||||
5 | Jonah Gadjovich | 0 | X | 100.00 | 81 | 79 | 60 | 63 | 82 | 73 | 74 | 59 | 57 | 60 | 58 | 57 | 59 | 64 | 65 | 68 | 50 | 61 | 0 | ||||
6 | Brayden Burke | 0 | X | 100.00 | 56 | 37 | 85 | 61 | 65 | 71 | 70 | 62 | 66 | 64 | 57 | 56 | 61 | 66 | 68 | 42 | 50 | 60 | 0 | ||||
7 | David Cotton | 0 | X | 100.00 | 71 | 38 | 90 | 58 | 80 | 73 | 77 | 54 | 61 | 55 | 56 | 57 | 55 | 66 | 68 | 47 | 50 | 59 | 0 | ||||
8 | Nikita Pavlychev | 0 | X | 100.00 | 86 | 42 | 79 | 54 | 95 | 73 | 64 | 53 | 57 | 54 | 55 | 61 | 54 | 66 | 68 | 47 | 50 | 59 | 0 | ||||
9 | Aarne Talvitie | 0 | X | 100.00 | 63 | 36 | 93 | 55 | 72 | 70 | 84 | 54 | 62 | 56 | 54 | 55 | 59 | 64 | 66 | 48 | 50 | 58 | 0 | ||||
10 | Max Veronneau | 0 | X | 100.00 | 67 | 37 | 95 | 55 | 76 | 73 | 65 | 54 | 60 | 58 | 52 | 57 | 53 | 68 | 70 | 36 | 50 | 58 | 0 | ||||
11 | Tommy Cross | 0 | X | 100.00 | 75 | 43 | 69 | 56 | 84 | 72 | 75 | 55 | 30 | 58 | 52 | 57 | 46 | 74 | 79 | 41 | 50 | 62 | 0 | ||||
12 | Logan Day | 0 | X | 100.00 | 70 | 39 | 88 | 56 | 79 | 72 | 80 | 55 | 30 | 59 | 51 | 57 | 45 | 69 | 71 | 36 | 50 | 61 | 0 | ||||
13 | Josiah Didier | 0 | X | 100.00 | 72 | 42 | 70 | 55 | 81 | 65 | 80 | 52 | 30 | 54 | 53 | 56 | 45 | 70 | 75 | 50 | 50 | 60 | 0 | ||||
14 | Darien Kielb | 0 | X | 100.00 | 71 | 41 | 74 | 56 | 80 | 72 | 66 | 54 | 30 | 57 | 55 | 56 | 47 | 64 | 66 | 43 | 50 | 60 | 0 | ||||
15 | Jack Dougherty | 0 | X | 100.00 | 71 | 39 | 89 | 53 | 80 | 61 | 64 | 52 | 30 | 54 | 50 | 55 | 45 | 67 | 69 | 61 | 50 | 58 | 0 | ||||
Scratches | |||||||||||||||||||||||||||
1 | Anthony Angello | 0 | X | 100.00 | 84 | 44 | 70 | 57 | 91 | 74 | 80 | 58 | 63 | 54 | 56 | 60 | 57 | 67 | 69 | 47 | 50 | 61 | 0 | ||||
2 | Ty Smith | 0 | X | 100.00 | 61 | 37 | 87 | 69 | 68 | 87 | 81 | 66 | 30 | 72 | 63 | 61 | 54 | 63 | 65 | 82 | 50 | 65 | 0 | ||||
TEAM AVERAGE | 100.00 | 71 | 42 | 81 | 59 | 79 | 75 | 75 | 57 | 52 | 59 | 56 | 59 | 54 | 67 | 69 | 49 | 50 | 61 |
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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Laurent Brossoit | 100.00 | 80 | 72 | 71 | 86 | 79 | 78 | 80 | 79 | 78 | 80 | 79 | 71 | 84 | 51 | 50 | 77 | 0 | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 80 | 72 | 71 | 86 | 79 | 78 | 80 | 79 | 78 | 80 | 79 | 71 | 84 | 51 | 50 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bob Boughner | 75 | 74 | 73 | 76 | 78 | 72 | 72 | CAN | 52 | 6 | 1,000,000$ |
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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ty Smith | Monsters (Clb) | D | 64 | 11 | 59 | 70 | -11 | 93 | 5 | 183 | 114 | 177 | 47 | 109 | 6.21% | 126 | 1508 | 23.57 | 7 | 11 | 18 | 103 | 205 | 0 | 1 | 1 | 0 | 202 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.93 | 0 | 0 | 1 | 0 | 0 | 5 | 2 | 6 |
2 | Justin Brazeau | Columbus Jackets | RW | 49 | 38 | 30 | 68 | 21 | 45 | 5 | 109 | 114 | 261 | 88 | 184 | 14.56% | 41 | 1140 | 23.28 | 5 | 12 | 17 | 46 | 143 | 1 | 1 | 2 | 10 | 239 | 5 | 1 | 61.84% | 532 | 0 | 0 | 0 | 3 | 1.19 | 0 | 0 | 0 | 0 | 1 | 6 | 10 | 4 |
3 | Jake Leschyshyn | Monsters (Clb) | C | 47 | 29 | 34 | 63 | 35 | 22 | 0 | 42 | 108 | 178 | 51 | 124 | 16.29% | 14 | 871 | 18.54 | 7 | 8 | 15 | 28 | 92 | 0 | 0 | 0 | 7 | 163 | 3 | 1 | 66.23% | 838 | 0 | 0 | 0 | 0 | 1.45 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | 3 |
4 | Anthony Angello | Monsters (Clb) | C | 44 | 33 | 23 | 56 | -4 | 84 | 10 | 131 | 104 | 301 | 80 | 223 | 10.96% | 42 | 811 | 18.44 | 6 | 5 | 11 | 60 | 125 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 65.33% | 724 | 0 | 0 | 0 | 2 | 1.38 | 0 | 0 | 0 | 0 | 2 | 3 | 3 | 5 |
5 | David Cotton | Monsters (Clb) | C | 59 | 16 | 25 | 41 | 26 | 18 | 0 | 24 | 37 | 130 | 34 | 96 | 12.31% | 13 | 718 | 12.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61.54% | 130 | 0 | 0 | 0 | 0 | 1.14 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 3 |
6 | Max Veronneau | Monsters (Clb) | RW | 59 | 13 | 26 | 39 | 19 | 8 | 0 | 16 | 60 | 120 | 37 | 83 | 10.83% | 20 | 737 | 12.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 73 | 2 | 0 | 60.00% | 100 | 0 | 0 | 0 | 1 | 1.06 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 |
7 | Nikita Pavlychev | Monsters (Clb) | C | 59 | 18 | 18 | 36 | 20 | 83 | 15 | 119 | 93 | 135 | 44 | 98 | 13.33% | 14 | 677 | 11.48 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 0 | 2 | 3 | 1 | 58.41% | 743 | 0 | 0 | 0 | 1 | 1.06 | 0 | 0 | 1 | 0 | 2 | 4 | 1 | 1 |
8 | Logan Day | Monsters (Clb) | D | 36 | 4 | 29 | 33 | 0 | 34 | 0 | 64 | 36 | 60 | 21 | 44 | 6.67% | 48 | 721 | 20.05 | 3 | 6 | 9 | 35 | 86 | 0 | 0 | 0 | 0 | 114 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.91 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 2 |
9 | Jonah Gadjovich | Monsters (Clb) | LW | 28 | 12 | 9 | 21 | 19 | 80 | 20 | 72 | 25 | 81 | 12 | 61 | 14.81% | 7 | 522 | 18.67 | 3 | 3 | 6 | 13 | 73 | 0 | 0 | 0 | 4 | 72 | 5 | 0 | 50.00% | 38 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | 2 | 0 | 2 | 1 | 0 | 3 |
10 | Jack Dougherty | Monsters (Clb) | D | 44 | 2 | 15 | 17 | 9 | 56 | 0 | 62 | 27 | 27 | 14 | 26 | 7.41% | 35 | 582 | 13.24 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 57 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | Darien Kielb | Monsters (Clb) | D | 25 | 5 | 12 | 17 | -7 | 40 | 0 | 63 | 21 | 41 | 20 | 36 | 12.20% | 31 | 461 | 18.47 | 4 | 4 | 8 | 30 | 57 | 0 | 0 | 0 | 0 | 69 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
12 | Tommy Cross | Monsters (Clb) | D | 21 | 1 | 12 | 13 | 4 | 49 | 5 | 63 | 14 | 21 | 5 | 17 | 4.76% | 21 | 464 | 22.10 | 0 | 6 | 6 | 10 | 53 | 0 | 1 | 1 | 0 | 82 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0 |
13 | Pierrick Dube | Monsters (Clb) | RW | 5 | 4 | 4 | 8 | 5 | 0 | 0 | 1 | 8 | 30 | 6 | 24 | 13.33% | 0 | 111 | 22.36 | 0 | 1 | 1 | 1 | 11 | 0 | 0 | 0 | 0 | 20 | 1 | 0 | 68.00% | 25 | 0 | 0 | 0 | 0 | 1.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Josiah Didier | Monsters (Clb) | D | 15 | 1 | 5 | 6 | 8 | 16 | 0 | 31 | 10 | 6 | 7 | 1 | 16.67% | 14 | 198 | 13.22 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
15 | Aarne Talvitie | Monsters (Clb) | C | 59 | 2 | 1 | 3 | -3 | 2 | 0 | 12 | 16 | 22 | 8 | 22 | 9.09% | 7 | 153 | 2.60 | 0 | 1 | 1 | 5 | 31 | 0 | 0 | 0 | 0 | 22 | 0 | 0 | 57.14% | 98 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
16 | Brayden Burke | Monsters (Clb) | LW | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0.00% | 0 | 2 | 2.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 615 | 189 | 302 | 491 | 142 | 630 | 60 | 992 | 788 | 1590 | 475 | 1148 | 11.89% | 433 | 9684 | 15.75 | 35 | 57 | 92 | 333 | 898 | 1 | 3 | 4 | 24 | 1133 | 24 | 4 | 62.67% | 3228 | 0 | 0 | 0 | 7 | 1.01 | 0 | 0 | 4 | 0 | 8 | 29 | 32 | 31 |
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 | Laurent Brossoit | Monsters (Clb) | 8 | 8 | 0 | 0 | 0.937 | 1.50 | 481 | 0 | 1 | 12 | 190 | 0 | 0 | 0 | 0.000 | 0 | 8 | 0 | 2 | 0 | 0 |
Team Total or Average | 8 | 8 | 0 | 0 | 0.937 | 1.50 | 481 | 0 | 1 | 12 | 190 | 0 | 0 | 0 | 0.000 | 0 | 8 | 0 | 2 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Player Name | Team Name | POS | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Contract | Status | Type | Current Salary | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aarne Talvitie | C | 25 | 1999-02-11 | No | 198 Lbs | 5 ft11 | No | No | No | 2 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Anthony Angello | C | 28 | 1996-03-06 | No | 210 Lbs | 6 ft5 | No | No | No | 3 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Brayden Burke | LW | 27 | 1997-01-01 | No | 165 Lbs | 5 ft11 | No | No | No | 4 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Chris Wagner | C/RW | 32 | 1991-05-27 | No | 192 Lbs | 6 ft0 | No | No | No | 2 | UFA | Pro & Farm | 400,001$ | 0$ | 0$ | No | Link / NHL Link | |
Darien Kielb | D | 25 | 1999-03-18 | No | 181 Lbs | 6 ft3 | No | No | No | 1 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
David Cotton | C | 26 | 1997-07-09 | No | 200 Lbs | 6 ft2 | No | No | No | 2 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Jack Dougherty | D | 27 | 1996-05-25 | No | 196 Lbs | 6 ft2 | No | No | No | 1 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Jake Leschyshyn | C | 25 | 1999-03-10 | No | 195 Lbs | 5 ft11 | No | No | No | 1 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Jonah Gadjovich | LW | 25 | 1998-10-12 | No | 209 Lbs | 6 ft2 | No | No | No | 3 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Josiah Didier | D | 31 | 1993-04-08 | No | 202 Lbs | 6 ft2 | No | No | No | 2 | UFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Justin Brazeau | RW | 26 | 1998-02-02 | No | 220 Lbs | 6 ft5 | No | No | No | 2 | RFA | Pro & Farm | 300,000$ | 300,000$ | 0$ | No | Link / NHL Link | |
Laurent Brossoit | G | 31 | 1993-03-23 | No | 215 Lbs | 6 ft3 | No | No | No | 3 | UFA | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | Link / NHL Link | |
Logan Day | D | 29 | 1994-09-19 | No | 209 Lbs | 6 ft1 | No | No | No | 1 | UFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Max Veronneau | RW | 28 | 1995-12-12 | No | 193 Lbs | 6 ft1 | No | No | No | 3 | UFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Nikita Pavlychev | C | 27 | 1997-03-23 | No | 200 Lbs | 6 ft7 | No | No | No | 3 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Pierrick Dube | RW | 23 | 2001-01-07 | No | 172 Lbs | 5 ft9 | No | No | No | 2 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Tommy Cross | D | 34 | 1989-09-12 | No | 205 Lbs | 6 ft3 | No | No | No | 4 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Ty Smith | D | 24 | 2000-03-24 | No | 180 Lbs | 5 ft11 | No | No | No | 2 | RFA | Pro & Farm | 900,000$ | 0$ | 0$ | No | Link / NHL Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
18 | 27.39 | 197 Lbs | 6 ft2 | 2.28 | 400,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | David Cotton | Nikita Pavlychev | Max Veronneau | 20 | 1 | 2 | 2 |
4 | David Cotton | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Aarne Talvitie, Nikita Pavlychev, Max Veronneau | Aarne Talvitie, Nikita Pavlychev | Max Veronneau |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | , |
Penalty Shots |
---|
, , , , |
Goalie |
---|
#1 : , #2 : |
Custom OT Lines Forwards |
---|
, , , , , , , Nikita Pavlychev, David Cotton, Max Veronneau, Aarne Talvitie |
Custom OT Lines Defensemen |
---|
, , , , |
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 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
72 | 55 | W1 | 229 | 400 | 629 | 2256 | 2398 | 740 | 835 | 1386 | 1 | 1 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
72 | 25 | 44 | 2 | 1 | 0 | 0 | 229 | 296 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
36 | 11 | 22 | 2 | 1 | 0 | 0 | 111 | 147 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
36 | 14 | 22 | 0 | 0 | 0 | 0 | 118 | 149 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
1 | 9 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
294 | 43 | 14.63% | 348 | 71 | 79.60% | 2 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
756 | 758 | 739 | 3 | 99 | 64 | 64 | 2 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
1072 | 2140 | 50.09% | 981 | 2085 | 47.05% | 565 | 1111 | 50.86% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
1721 | 1261 | 1811 | 474 | 789 | 385 |
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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
---|---|---|---|---|---|---|---|---|---|---|
5 - 2023-08-14 | 21 | Monsters | 0 | Phantoms | 4 | L | BoxScore | |||
6 - 2023-08-15 | 29 | Monsters | 3 | Bears | 5 | L | BoxScore | |||
11 - 2023-08-20 | 35 | Crunch | 5 | Monsters | 4 | L | BoxScore | |||
12 - 2023-08-21 | 49 | Crunch | 6 | Monsters | 4 | L | BoxScore | |||
18 - 2023-08-27 | 79 | Monsters | 2 | Griffins | 7 | L | BoxScore | |||
19 - 2023-08-28 | 94 | Monsters | 4 | Wolves | 3 | W | BoxScore | |||
23 - 2023-09-01 | 107 | Griffins | 4 | Monsters | 1 | L | BoxScore | |||
25 - 2023-09-03 | 114 | Bruins | 5 | Monsters | 2 | L | BoxScore | |||
26 - 2023-09-04 | 128 | Bruins | 3 | Monsters | 1 | L | BoxScore | |||
32 - 2023-09-10 | 153 | Monsters | 2 | Senators | 9 | L | BoxScore | |||
34 - 2023-09-12 | 173 | Monsters | 2 | Senators | 8 | L | BoxScore | |||
38 - 2023-09-16 | 191 | Americans | 9 | Monsters | 0 | L | BoxScore | |||
40 - 2023-09-18 | 209 | Americans | 5 | Monsters | 0 | L | BoxScore | |||
42 - 2023-09-20 | 223 | Monsters | 9 | Checkers | 1 | W | BoxScore | |||
44 - 2023-09-22 | 231 | Monsters | 5 | Checkers | 1 | W | BoxScore | |||
46 - 2023-09-24 | 240 | Marlies | 0 | Monsters | 3 | W | BoxScore | |||
48 - 2023-09-26 | 266 | Monsters | 6 | Marlies | 1 | W | BoxScore | |||
54 - 2023-10-02 | 292 | Comets | 3 | Monsters | 4 | W | X | BoxScore | ||
55 - 2023-10-03 | 304 | Comets | 3 | Monsters | 4 | W | BoxScore | |||
58 - 2023-10-06 | 311 | Monsters | 3 | Wolfpack | 2 | W | BoxScore | |||
60 - 2023-10-08 | 320 | Monsters | 2 | Penguins | 1 | W | BoxScore | |||
61 - 2023-10-09 | 332 | Monsters | 4 | Bears | 3 | W | BoxScore | |||
66 - 2023-10-14 | 357 | Senators | 6 | Monsters | 4 | L | BoxScore | |||
67 - 2023-10-15 | 360 | Senators | 2 | Monsters | 4 | W | BoxScore | |||
72 - 2023-10-20 | 391 | Monsters | 2 | Americans | 3 | L | BoxScore | |||
74 - 2023-10-22 | 404 | Monsters | 7 | Crunch | 3 | W | BoxScore | |||
75 - 2023-10-23 | 418 | Monsters | 5 | Comets | 2 | W | BoxScore | |||
79 - 2023-10-27 | 428 | Marlies | 3 | Monsters | 7 | W | BoxScore | |||
82 - 2023-10-30 | 459 | Monsters | 7 | Wolves | 3 | W | BoxScore | |||
83 - 2023-10-31 | 465 | Monsters | 0 | Griffins | 3 | L | BoxScore | |||
86 - 2023-11-03 | 471 | Monsters | 2 | Marlies | 3 | L | BoxScore | |||
88 - 2023-11-05 | 479 | Monsters | 2 | Americans | 5 | L | BoxScore | |||
89 - 2023-11-06 | 492 | Americans | 9 | Monsters | 1 | L | BoxScore | |||
95 - 2023-11-12 | 520 | Monsters | 2 | Comets | 5 | L | BoxScore | |||
96 - 2023-11-13 | 536 | Monsters | 10 | Crunch | 4 | W | BoxScore | |||
102 - 2023-11-19 | 566 | Phantoms | 3 | Monsters | 2 | L | X | BoxScore | ||
103 - 2023-11-20 | 574 | Phantoms | 3 | Monsters | 5 | W | BoxScore | |||
107 - 2023-11-24 | 599 | Marlies | 3 | Monsters | 5 | W | BoxScore | |||
109 - 2023-11-26 | 609 | Wolfpack | 6 | Monsters | 1 | L | BoxScore | |||
110 - 2023-11-27 | 625 | Wolfpack | 5 | Monsters | 1 | L | BoxScore | |||
115 - 2023-12-02 | 652 | Wolves | 2 | Monsters | 6 | W | BoxScore | |||
117 - 2023-12-04 | 668 | Wolves | 4 | Monsters | 5 | W | X | BoxScore | ||
123 - 2023-12-10 | 686 | Checkers | 1 | Monsters | 8 | W | BoxScore | |||
125 - 2023-12-12 | 711 | Checkers | 3 | Monsters | 8 | W | BoxScore | |||
127 - 2023-12-14 | 712 | Griffins | 6 | Monsters | 3 | L | BoxScore | |||
130 - 2023-12-17 | 727 | Monsters | 1 | Griffins | 3 | L | BoxScore | |||
131 - 2023-12-18 | 740 | Monsters | 7 | Wolves | 2 | W | BoxScore | |||
132 - 2023-12-19 | 751 | Monsters | 8 | Wolves | 2 | W | BoxScore | |||
137 - 2023-12-24 | 773 | Monsters | 3 | Bruins | 6 | L | BoxScore | |||
138 - 2023-12-25 | 786 | Monsters | 1 | Wolfpack | 6 | L | BoxScore | |||
139 - 2023-12-26 | 799 | Monsters | 2 | Bruins | 6 | L | BoxScore | |||
142 - 2023-12-29 | 808 | Marlies | 2 | Monsters | 7 | W | BoxScore | |||
144 - 2023-12-31 | 818 | Wolves | 3 | Monsters | 6 | W | BoxScore | |||
145 - 2024-01-01 | 829 | Wolves | 4 | Monsters | 3 | L | BoxScore | |||
147 - 2024-01-03 | 848 | Griffins | 4 | Monsters | 3 | L | BoxScore | |||
151 - 2024-01-07 | 860 | Monsters | 3 | Rocket | 4 | L | BoxScore | |||
152 - 2024-01-08 | 869 | Monsters | 1 | Rocket | 7 | L | BoxScore | |||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
155 - 2024-01-11 | 891 | Griffins | 3 | Monsters | 1 | L | BoxScore | |||
160 - 2024-01-16 | 930 | Penguins | 7 | Monsters | 0 | L | BoxScore | |||
161 - 2024-01-17 | 937 | Penguins | 4 | Monsters | 2 | L | BoxScore | |||
164 - 2024-01-20 | 950 | Bears | 2 | Monsters | 1 | L | BoxScore | |||
166 - 2024-01-22 | 964 | Bears | 2 | Monsters | 1 | L | BoxScore | |||
170 - 2024-01-26 | 989 | Monsters | 1 | Griffins | 6 | L | BoxScore | |||
173 - 2024-01-29 | 1007 | Americans | 7 | Monsters | 1 | L | BoxScore | |||
177 - 2024-02-02 | 1030 | Monsters | 0 | Americans | 6 | L | BoxScore | |||
179 - 2024-02-04 | 1041 | Monsters | 0 | Penguins | 3 | L | BoxScore | |||
180 - 2024-02-05 | 1053 | Monsters | 2 | Phantoms | 8 | L | BoxScore | |||
185 - 2024-02-10 | 1074 | Rocket | 3 | Monsters | 2 | L | BoxScore | |||
187 - 2024-02-12 | 1094 | Rocket | 7 | Monsters | 1 | L | BoxScore | |||
193 - 2024-02-18 | 1123 | Monsters | 1 | Americans | 5 | L | BoxScore | |||
194 - 2024-02-19 | 1130 | Monsters | 4 | Marlies | 5 | L | BoxScore | |||
195 - 2024-02-20 | 1148 | Monsters | 5 | Marlies | 4 | W | BoxScore |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Arena Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 67,130 | 34,106 |
Attendance PCT | 93.24% | 94.74% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 2812 - 93.74% | 69,939$ | 2,517,804$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
1,067,060$ | 69,000$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 67,005$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 5,482$ | 0$ |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
12 | 82 | 53 | 22 | 0 | 2 | 1 | 3 | 1 | 292 | 174 | 118 | 41 | 26 | 12 | 0 | 1 | 0 | 2 | 0 | 151 | 87 | 64 | 41 | 27 | 10 | 0 | 1 | 1 | 1 | 1 | 141 | 87 | 54 | 118 | 292 | 532 | 824 | 2 | 9 | 0 | 123 | 85 | 79 | 2512 | 0 | 825 | 868 | 810 | 1662 | 505 | 1384 | 1810 | 533 | 83 | 15.57% | 572 | 70 | 87.76% | 9 | 1707 | 2710 | 62.99% | 1238 | 2245 | 55.14% | 709 | 1163 | 60.96% | 2372 | 1738 | 1629 | 547 | 947 | 509 |
12 | 82 | 53 | 22 | 0 | 2 | 1 | 3 | 1 | 292 | 174 | 118 | 41 | 26 | 12 | 0 | 1 | 0 | 2 | 0 | 151 | 87 | 64 | 41 | 27 | 10 | 0 | 1 | 1 | 1 | 1 | 141 | 87 | 54 | 118 | 292 | 532 | 824 | 2 | 9 | 0 | 123 | 85 | 79 | 2512 | 0 | 825 | 868 | 810 | 1662 | 505 | 1384 | 1810 | 533 | 83 | 15.57% | 572 | 70 | 87.76% | 9 | 1707 | 2710 | 62.99% | 1238 | 2245 | 55.14% | 709 | 1163 | 60.96% | 2372 | 1738 | 1629 | 547 | 947 | 509 |
13 | 76 | 46 | 21 | 0 | 1 | 1 | 3 | 4 | 242 | 150 | 92 | 38 | 21 | 12 | 0 | 0 | 1 | 1 | 3 | 115 | 74 | 41 | 38 | 25 | 9 | 0 | 1 | 0 | 2 | 1 | 127 | 76 | 51 | 105 | 242 | 417 | 659 | 1 | 12 | 0 | 92 | 78 | 68 | 2070 | 0 | 668 | 676 | 715 | 1471 | 445 | 988 | 1406 | 529 | 95 | 17.96% | 431 | 54 | 87.47% | 6 | 1490 | 2443 | 60.99% | 1204 | 2086 | 57.72% | 659 | 1045 | 63.06% | 2135 | 1561 | 1561 | 528 | 899 | 478 |
13 | 76 | 46 | 21 | 0 | 1 | 1 | 3 | 4 | 242 | 150 | 92 | 38 | 21 | 12 | 0 | 0 | 1 | 1 | 3 | 115 | 74 | 41 | 38 | 25 | 9 | 0 | 1 | 0 | 2 | 1 | 127 | 76 | 51 | 105 | 242 | 417 | 659 | 1 | 12 | 0 | 92 | 78 | 68 | 2070 | 0 | 668 | 676 | 715 | 1471 | 445 | 988 | 1406 | 529 | 95 | 17.96% | 431 | 54 | 87.47% | 6 | 1490 | 2443 | 60.99% | 1204 | 2086 | 57.72% | 659 | 1045 | 63.06% | 2135 | 1561 | 1561 | 528 | 899 | 478 |
14 | 76 | 42 | 22 | 0 | 3 | 1 | 4 | 4 | 271 | 156 | 115 | 38 | 23 | 11 | 0 | 1 | 0 | 1 | 2 | 137 | 76 | 61 | 38 | 19 | 11 | 0 | 2 | 1 | 3 | 2 | 134 | 80 | 54 | 103 | 271 | 484 | 755 | 1 | 11 | 0 | 112 | 77 | 75 | 2299 | 0 | 758 | 747 | 773 | 1757 | 503 | 1123 | 1452 | 334 | 54 | 16.17% | 431 | 56 | 87.01% | 4 | 1366 | 2410 | 56.68% | 1321 | 2305 | 57.31% | 640 | 1109 | 57.71% | 2043 | 1478 | 1655 | 527 | 908 | 469 |
14 | 76 | 42 | 22 | 0 | 3 | 1 | 4 | 4 | 271 | 156 | 115 | 38 | 23 | 11 | 0 | 1 | 0 | 1 | 2 | 137 | 76 | 61 | 38 | 19 | 11 | 0 | 2 | 1 | 3 | 2 | 134 | 80 | 54 | 103 | 271 | 484 | 755 | 1 | 11 | 0 | 112 | 77 | 75 | 2299 | 0 | 758 | 747 | 773 | 1757 | 503 | 1123 | 1452 | 334 | 54 | 16.17% | 431 | 56 | 87.01% | 4 | 1366 | 2410 | 56.68% | 1321 | 2305 | 57.31% | 640 | 1109 | 57.71% | 2043 | 1478 | 1655 | 527 | 908 | 469 |
15 | 82 | 34 | 34 | 0 | 4 | 3 | 2 | 5 | 227 | 179 | 48 | 41 | 21 | 16 | 0 | 1 | 1 | 1 | 1 | 119 | 80 | 39 | 41 | 13 | 18 | 0 | 3 | 2 | 1 | 4 | 108 | 99 | 9 | 88 | 227 | 424 | 651 | 0 | 8 | 0 | 87 | 78 | 56 | 2350 | 0 | 755 | 746 | 821 | 1907 | 583 | 1137 | 1452 | 405 | 65 | 16.05% | 453 | 66 | 85.43% | 1 | 1490 | 2595 | 57.42% | 1305 | 2357 | 55.37% | 645 | 1139 | 56.63% | 2181 | 1576 | 1808 | 570 | 980 | 504 |
15 | 82 | 34 | 34 | 0 | 4 | 3 | 2 | 5 | 227 | 179 | 48 | 41 | 21 | 16 | 0 | 1 | 1 | 1 | 1 | 119 | 80 | 39 | 41 | 13 | 18 | 0 | 3 | 2 | 1 | 4 | 108 | 99 | 9 | 88 | 227 | 424 | 651 | 0 | 8 | 0 | 87 | 78 | 56 | 2350 | 0 | 755 | 746 | 821 | 1907 | 583 | 1137 | 1452 | 405 | 65 | 16.05% | 453 | 66 | 85.43% | 1 | 1490 | 2595 | 57.42% | 1305 | 2357 | 55.37% | 645 | 1139 | 56.63% | 2181 | 1576 | 1808 | 570 | 980 | 504 |
16 | 82 | 44 | 25 | 0 | 3 | 5 | 3 | 2 | 248 | 160 | 88 | 41 | 20 | 13 | 0 | 2 | 3 | 2 | 1 | 119 | 83 | 36 | 41 | 24 | 12 | 0 | 1 | 2 | 1 | 1 | 129 | 77 | 52 | 107 | 248 | 455 | 703 | 0 | 8 | 0 | 89 | 82 | 71 | 2214 | 0 | 767 | 715 | 713 | 1793 | 534 | 960 | 1389 | 457 | 77 | 16.85% | 406 | 48 | 88.18% | 7 | 1469 | 2478 | 59.28% | 1211 | 2264 | 53.49% | 681 | 1133 | 60.11% | 2276 | 1674 | 1741 | 544 | 943 | 502 |
16 | 82 | 44 | 25 | 0 | 3 | 5 | 3 | 2 | 248 | 160 | 88 | 41 | 20 | 13 | 0 | 2 | 3 | 2 | 1 | 119 | 83 | 36 | 41 | 24 | 12 | 0 | 1 | 2 | 1 | 1 | 129 | 77 | 52 | 107 | 248 | 455 | 703 | 0 | 8 | 0 | 89 | 82 | 71 | 2214 | 0 | 767 | 715 | 713 | 1793 | 534 | 960 | 1389 | 457 | 77 | 16.85% | 406 | 48 | 88.18% | 7 | 1469 | 2478 | 59.28% | 1211 | 2264 | 53.49% | 681 | 1133 | 60.11% | 2276 | 1674 | 1741 | 544 | 943 | 502 |
17 | 72 | 31 | 33 | 0 | 2 | 4 | 2 | 0 | 235 | 213 | 22 | 36 | 18 | 14 | 0 | 1 | 3 | 0 | 0 | 117 | 107 | 10 | 36 | 13 | 19 | 0 | 1 | 1 | 2 | 0 | 118 | 106 | 12 | 74 | 235 | 410 | 645 | 3 | 9 | 0 | 92 | 74 | 65 | 1980 | 0 | 646 | 688 | 633 | 1832 | 554 | 823 | 1379 | 365 | 80 | 21.92% | 332 | 69 | 79.22% | 3 | 1131 | 2113 | 53.53% | 1039 | 2027 | 51.26% | 560 | 1087 | 51.52% | 1924 | 1416 | 1601 | 469 | 816 | 425 |
17 | 72 | 31 | 33 | 0 | 2 | 4 | 2 | 0 | 235 | 213 | 22 | 36 | 18 | 14 | 0 | 1 | 3 | 0 | 0 | 117 | 107 | 10 | 36 | 13 | 19 | 0 | 1 | 1 | 2 | 0 | 118 | 106 | 12 | 74 | 235 | 410 | 645 | 3 | 9 | 0 | 92 | 74 | 65 | 1980 | 0 | 646 | 688 | 633 | 1832 | 554 | 823 | 1379 | 365 | 80 | 21.92% | 332 | 69 | 79.22% | 3 | 1131 | 2113 | 53.53% | 1039 | 2027 | 51.26% | 560 | 1087 | 51.52% | 1924 | 1416 | 1601 | 469 | 816 | 425 |
18 | 72 | 25 | 44 | 0 | 2 | 1 | 0 | 0 | 229 | 296 | -67 | 36 | 11 | 22 | 0 | 2 | 1 | 0 | 0 | 111 | 147 | -36 | 36 | 14 | 22 | 0 | 0 | 0 | 0 | 0 | 118 | 149 | -31 | 55 | 229 | 400 | 629 | 1 | 1 | 99 | 64 | 64 | 2 | 2256 | 756 | 758 | 739 | 3 | 2398 | 740 | 835 | 1386 | 294 | 43 | 14.63% | 348 | 71 | 79.60% | 2 | 1072 | 2140 | 50.09% | 981 | 2085 | 47.05% | 565 | 1111 | 50.86% | 1721 | 1261 | 1811 | 474 | 789 | 385 |
Total Regular Season | 1012 | 525 | 358 | 0 | 32 | 31 | 34 | 32 | 3259 | 2360 | 899 | 506 | 269 | 178 | 0 | 14 | 17 | 14 | 14 | 1627 | 1161 | 466 | 506 | 256 | 180 | 0 | 18 | 14 | 20 | 18 | 1632 | 1199 | 433 | 1245 | 3259 | 5844 | 9103 | 15 | 115 | 99 | 1254 | 1012 | 830 | 29106 | 756 | 9596 | 9619 | 8933 | 23242 | 6988 | 13665 | 19162 | 5540 | 951 | 17.17% | 5598 | 797 | 85.76% | 62 | 18378 | 31638 | 58.09% | 15617 | 28653 | 54.50% | 8353 | 14463 | 57.75% | 27589 | 20154 | 21807 | 6851 | 11781 | 6165 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
12 | 20 | 16 | 4 | 0 | 0 | 0 | 0 | 0 | 49 | 19 | 30 | 10 | 8 | 2 | 0 | 0 | 0 | 0 | 0 | 21 | 9 | 12 | 10 | 8 | 2 | 0 | 0 | 0 | 0 | 0 | 28 | 10 | 18 | 32 | 49 | 83 | 132 | 0 | 6 | 0 | 12 | 18 | 17 | 466 | 0 | 143 | 156 | 146 | 405 | 121 | 392 | 396 | 141 | 14 | 9.93% | 166 | 10 | 93.98% | 3 | 381 | 673 | 56.61% | 365 | 666 | 54.80% | 168 | 279 | 60.22% | 509 | 338 | 516 | 168 | 266 | 131 |
12 | 20 | 16 | 4 | 0 | 0 | 0 | 0 | 0 | 49 | 19 | 30 | 10 | 8 | 2 | 0 | 0 | 0 | 0 | 0 | 21 | 9 | 12 | 10 | 8 | 2 | 0 | 0 | 0 | 0 | 0 | 28 | 10 | 18 | 32 | 49 | 83 | 132 | 0 | 6 | 0 | 12 | 18 | 17 | 466 | 0 | 143 | 156 | 146 | 405 | 121 | 392 | 396 | 141 | 14 | 9.93% | 166 | 10 | 93.98% | 3 | 381 | 673 | 56.61% | 365 | 666 | 54.80% | 168 | 279 | 60.22% | 509 | 338 | 516 | 168 | 266 | 131 |
13 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 12 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 10 | 17 | 27 | 0 | 0 | 0 | 5 | 3 | 2 | 95 | 0 | 38 | 26 | 31 | 122 | 45 | 80 | 75 | 33 | 5 | 15.15% | 36 | 5 | 86.11% | 0 | 58 | 138 | 42.03% | 64 | 163 | 39.26% | 40 | 76 | 52.63% | 108 | 71 | 129 | 38 | 62 | 30 |
13 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 12 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 10 | 17 | 27 | 0 | 0 | 0 | 5 | 3 | 2 | 95 | 0 | 38 | 26 | 31 | 122 | 45 | 80 | 75 | 33 | 5 | 15.15% | 36 | 5 | 86.11% | 0 | 58 | 138 | 42.03% | 64 | 163 | 39.26% | 40 | 76 | 52.63% | 108 | 71 | 129 | 38 | 62 | 30 |
14 | 18 | 9 | 9 | 0 | 0 | 0 | 0 | 0 | 37 | 43 | -6 | 10 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 10 | 26 | -16 | 8 | 6 | 2 | 0 | 0 | 0 | 0 | 0 | 27 | 17 | 10 | 18 | 37 | 69 | 106 | 0 | 2 | 0 | 16 | 10 | 9 | 452 | 0 | 173 | 127 | 134 | 437 | 122 | 262 | 386 | 107 | 13 | 12.15% | 116 | 14 | 87.93% | 1 | 281 | 581 | 48.36% | 301 | 615 | 48.94% | 126 | 258 | 48.84% | 455 | 313 | 458 | 143 | 242 | 118 |
14 | 18 | 9 | 9 | 0 | 0 | 0 | 0 | 0 | 37 | 43 | -6 | 10 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 10 | 26 | -16 | 8 | 6 | 2 | 0 | 0 | 0 | 0 | 0 | 27 | 17 | 10 | 18 | 37 | 69 | 106 | 0 | 2 | 0 | 16 | 10 | 9 | 452 | 0 | 173 | 127 | 134 | 437 | 122 | 262 | 386 | 107 | 13 | 12.15% | 116 | 14 | 87.93% | 1 | 281 | 581 | 48.36% | 301 | 615 | 48.94% | 126 | 258 | 48.84% | 455 | 313 | 458 | 143 | 242 | 118 |
Total Playoff | 86 | 52 | 34 | 0 | 0 | 0 | 0 | 0 | 192 | 148 | 44 | 44 | 24 | 20 | 0 | 0 | 0 | 0 | 0 | 72 | 76 | -4 | 42 | 28 | 14 | 0 | 0 | 0 | 0 | 0 | 120 | 72 | 48 | 104 | 192 | 338 | 530 | 0 | 16 | 0 | 66 | 62 | 56 | 2026 | 0 | 708 | 618 | 622 | 1928 | 576 | 1468 | 1714 | 562 | 64 | 11.39% | 636 | 58 | 90.88% | 8 | 1440 | 2784 | 51.72% | 1460 | 2888 | 50.55% | 668 | 1226 | 54.49% | 2147 | 1447 | 2208 | 701 | 1141 | 561 |
Players Ratings by Showtime Hockey | WebSim by SimonT Hockey Simulator