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 | Brad Richardson | X | X | 100.00 | 68 | 37 | 80 | 62 | 73 | 77 | 78 | 60 | 85 | 61 | 60 | 72 | 59 | 86 | 78 | 22 | 50 | 64 | 0 | |||
2 | Thomas Bordeleau (R) | X | 100.00 | 56 | 35 | 95 | 70 | 67 | 86 | 62 | 69 | 77 | 68 | 57 | 63 | 68 | 61 | 62 | 77 | 50 | 63 | 0 | ||||
3 | Jake Leschyshyn | X | 100.00 | 63 | 39 | 82 | 61 | 72 | 79 | 81 | 62 | 74 | 60 | 63 | 64 | 61 | 64 | 65 | 67 | 50 | 62 | 0 | ||||
4 | Kasper Bjorkqvist (R) | X | 100.00 | 68 | 38 | 81 | 65 | 77 | 73 | 82 | 62 | 55 | 61 | 62 | 57 | 63 | 65 | 67 | 72 | 50 | 62 | 0 | ||||
5 | Jonah Gadjovich | X | 100.00 | 87 | 79 | 55 | 61 | 82 | 74 | 73 | 60 | 57 | 63 | 61 | 58 | 62 | 63 | 64 | 68 | 50 | 62 | 0 | ||||
6 | Brayden Burke | X | 100.00 | 56 | 37 | 84 | 62 | 65 | 72 | 76 | 63 | 59 | 66 | 55 | 57 | 63 | 65 | 67 | 55 | 50 | 60 | 0 | ||||
7 | Carson Focht | X | 100.00 | 63 | 37 | 71 | 58 | 69 | 73 | 74 | 57 | 63 | 56 | 55 | 54 | 58 | 62 | 64 | 59 | 50 | 58 | 0 | ||||
8 | Ty Smith | X | 100.00 | 62 | 34 | 87 | 76 | 68 | 90 | 88 | 71 | 30 | 77 | 61 | 56 | 52 | 63 | 66 | 83 | 50 | 67 | 0 | ||||
9 | Alex Vlasic (R) | X | 100.00 | 65 | 38 | 83 | 63 | 92 | 84 | 68 | 59 | 30 | 61 | 58 | 65 | 53 | 62 | 64 | 76 | 50 | 64 | 0 | ||||
10 | Logan Day | X | 100.00 | 63 | 39 | 86 | 57 | 79 | 73 | 89 | 56 | 30 | 59 | 54 | 58 | 47 | 68 | 67 | 36 | 50 | 62 | 0 | ||||
11 | Darien Kielb | X | 100.00 | 71 | 43 | 67 | 59 | 80 | 78 | 60 | 57 | 30 | 62 | 56 | 58 | 45 | 63 | 65 | 53 | 50 | 61 | 0 | ||||
12 | Josiah Didier | X | 100.00 | 72 | 45 | 68 | 56 | 81 | 65 | 68 | 54 | 30 | 53 | 51 | 56 | 45 | 69 | 71 | 51 | 50 | 59 | 0 | ||||
13 | Cole Hults | X | 100.00 | 63 | 38 | 84 | 58 | 72 | 69 | 81 | 57 | 30 | 56 | 55 | 54 | 50 | 64 | 66 | 55 | 50 | 59 | 0 | ||||
14 | Brennan Menell | X | 100.00 | 61 | 34 | 73 | 57 | 68 | 66 | 67 | 59 | 30 | 58 | 52 | 57 | 45 | 65 | 67 | 54 | 50 | 58 | 0 | ||||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 66 | 41 | 78 | 62 | 75 | 76 | 75 | 60 | 49 | 62 | 57 | 59 | 55 | 66 | 67 | 59 | 50 | 62 |
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 | Linden Marshall | 100.00 | 75 | 65 | 66 | 82 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 64 | 71 | 43 | 50 | 71 | 0 | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 75 | 65 | 66 | 82 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 64 | 71 | 43 | 50 | 71 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bob Boughner | 83 | 80 | 78 | 81 | 76 | 71 | 74 | CAN | 51 | 7 | 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 | Jake Leschyshyn | Monsters (Clb) | C | 72 | 47 | 35 | 82 | 10 | 77 | 5 | 109 | 156 | 294 | 81 | 227 | 15.99% | 21 | 1345 | 18.69 | 16 | 17 | 33 | 67 | 255 | 0 | 0 | 0 | 5 | 109 | 7 | 1 | 62.38% | 1462 | 0 | 0 | 0 | 4 | 1.22 | 1 | 1 | 0 | 1 | 0 | 10 | 4 | 2 |
2 | Alex Vlasic | Monsters (Clb) | D | 72 | 19 | 61 | 80 | 0 | 95 | 5 | 160 | 96 | 170 | 60 | 146 | 11.18% | 113 | 1695 | 23.56 | 14 | 23 | 37 | 119 | 307 | 0 | 0 | 0 | 0 | 241 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.94 | 0 | 0 | 1 | 0 | 0 | 2 | 4 | 7 |
3 | Brayden Burke | Monsters (Clb) | LW | 72 | 21 | 50 | 71 | 4 | 24 | 0 | 69 | 99 | 207 | 55 | 153 | 10.14% | 15 | 1257 | 17.47 | 7 | 22 | 29 | 53 | 262 | 0 | 0 | 0 | 3 | 60 | 2 | 2 | 55.17% | 87 | 0 | 0 | 0 | 0 | 1.13 | 1 | 1 | 0 | 0 | 0 | 4 | 4 | 2 |
4 | Kasper Bjorkqvist | Monsters (Clb) | RW | 72 | 41 | 24 | 65 | 11 | 34 | 10 | 113 | 107 | 293 | 73 | 212 | 13.99% | 25 | 1650 | 22.92 | 9 | 9 | 18 | 71 | 294 | 1 | 1 | 2 | 12 | 280 | 10 | 0 | 48.70% | 115 | 0 | 0 | 1 | 2 | 0.79 | 0 | 2 | 1 | 1 | 0 | 6 | 5 | 5 |
5 | Carson Focht | Monsters (Clb) | C | 72 | 33 | 14 | 47 | -6 | 93 | 5 | 197 | 190 | 270 | 87 | 194 | 12.22% | 16 | 1255 | 17.44 | 3 | 4 | 7 | 13 | 42 | 0 | 0 | 0 | 0 | 25 | 5 | 2 | 59.32% | 966 | 0 | 0 | 0 | 3 | 0.75 | 0 | 0 | 0 | 1 | 0 | 5 | 1 | 5 |
6 | Logan Day | Monsters (Clb) | D | 72 | 7 | 39 | 46 | 9 | 34 | 0 | 59 | 55 | 98 | 31 | 61 | 7.14% | 71 | 1475 | 20.49 | 4 | 15 | 19 | 53 | 254 | 1 | 0 | 1 | 3 | 207 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 |
7 | Jonah Gadjovich | Monsters (Clb) | LW | 56 | 12 | 34 | 46 | 15 | 113 | 15 | 213 | 70 | 165 | 43 | 127 | 7.27% | 13 | 1106 | 19.76 | 2 | 14 | 16 | 42 | 228 | 0 | 0 | 0 | 5 | 127 | 0 | 0 | 61.97% | 71 | 0 | 0 | 0 | 0 | 0.83 | 1 | 1 | 3 | 0 | 0 | 2 | 4 | 2 |
8 | Cole Hults | Monsters (Clb) | D | 72 | 6 | 37 | 43 | 0 | 43 | 5 | 60 | 68 | 103 | 37 | 63 | 5.83% | 77 | 1165 | 16.18 | 3 | 9 | 12 | 52 | 138 | 0 | 1 | 1 | 0 | 87 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 2 |
9 | Brennan Menell | Monsters (Clb) | D | 72 | 10 | 29 | 39 | 11 | 58 | 0 | 86 | 55 | 79 | 20 | 65 | 12.66% | 47 | 1196 | 16.62 | 6 | 5 | 11 | 28 | 159 | 0 | 1 | 1 | 1 | 63 | 1 | 0 | 53.13% | 32 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 |
10 | Josiah Didier | Monsters (Clb) | D | 72 | 4 | 24 | 28 | 11 | 100 | 10 | 123 | 48 | 41 | 15 | 33 | 9.76% | 52 | 1002 | 13.92 | 1 | 2 | 3 | 10 | 25 | 0 | 0 | 0 | 0 | 65 | 1 | 0 | 100.00% | 3 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | 1 | 1 | 0 | 0 | 2 | 2 |
11 | Thomas Bordeleau | Monsters (Clb) | C | 25 | 14 | 14 | 28 | 4 | 4 | 0 | 6 | 86 | 78 | 21 | 47 | 17.95% | 7 | 594 | 23.78 | 5 | 6 | 11 | 15 | 93 | 1 | 1 | 2 | 8 | 127 | 3 | 1 | 59.84% | 849 | 0 | 0 | 0 | 0 | 0.94 | 0 | 1 | 0 | 0 | 0 | 1 | 4 | 3 |
12 | Darien Kielb | Monsters (Clb) | D | 50 | 7 | 18 | 25 | 10 | 91 | 15 | 124 | 39 | 62 | 8 | 34 | 11.29% | 37 | 952 | 19.04 | 4 | 5 | 9 | 38 | 163 | 0 | 0 | 0 | 0 | 135 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 2 |
13 | Ty Smith | Monsters (Clb) | D | 14 | 2 | 9 | 11 | -7 | 10 | 0 | 23 | 14 | 31 | 8 | 13 | 6.45% | 19 | 350 | 25.02 | 2 | 6 | 8 | 18 | 49 | 0 | 0 | 0 | 0 | 56 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
Team Total or Average | 793 | 223 | 388 | 611 | 72 | 776 | 70 | 1342 | 1083 | 1891 | 539 | 1375 | 11.79% | 513 | 15048 | 18.98 | 76 | 137 | 213 | 579 | 2275 | 3 | 4 | 7 | 37 | 1586 | 30 | 7 | 60.28% | 3585 | 0 | 0 | 1 | 9 | 0.81 | 3 | 6 | 7 | 5 | 2 | 32 | 35 | 38 |
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 | Linden Marshall | Monsters (Clb) | 49 | 29 | 18 | 2 | 0.903 | 2.39 | 2888 | 6 | 8 | 115 | 1182 | 0 | 7 | 2 | 0.857 | 7 | 49 | 0 | 4 | 2 | 1 |
Team Total or Average | 49 | 29 | 18 | 2 | 0.903 | 2.39 | 2888 | 6 | 8 | 115 | 1182 | 0 | 7 | 2 | 0.857 | 7 | 49 | 0 | 4 | 2 | 1 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Vlasic | D | 21 | 2001-06-05 | Yes | 199 Lbs | 6 ft6 | No | No | No | 4 | ELC | Pro & Farm | 500,000$ | 0$ | 0$ | No | ||
Brad Richardson | C/RW | 38 | 1985-02-04 | No | 190 Lbs | 6 ft0 | No | No | No | 1 | UFA | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | Link / NHL Link | |
Brayden Burke | LW | 26 | 1997-01-01 | No | 165 Lbs | 5 ft11 | No | No | No | 1 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Brennan Menell | D | 25 | 1997-05-24 | No | 177 Lbs | 5 ft11 | No | No | No | 4 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Carson Focht | C | 23 | 2000-02-04 | No | 180 Lbs | 6 ft0 | No | No | No | 3 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link | |
Cole Hults | D | 24 | 1998-05-22 | No | 189 Lbs | 6 ft0 | No | No | No | 3 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link | |
Darien Kielb | D | 23 | 1999-03-18 | No | 181 Lbs | 6 ft3 | No | No | No | 2 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link | |
Jake Leschyshyn | C | 23 | 1999-03-10 | No | 192 Lbs | 5 ft11 | No | No | No | 2 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Jonah Gadjovich | LW | 24 | 1998-10-12 | No | 209 Lbs | 6 ft2 | No | No | No | 1 | RFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Josiah Didier | D | 29 | 1993-04-08 | No | 202 Lbs | 6 ft2 | No | No | No | 3 | UFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Kasper Bjorkqvist | RW | 25 | 1997-07-10 | Yes | 198 Lbs | 6 ft1 | No | No | No | 4 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | ||
Linden Marshall | G | 24 | 1998-07-21 | No | 194 Lbs | 6 ft3 | No | No | No | 2 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link | |
Logan Day | D | 28 | 1994-09-19 | No | 209 Lbs | 6 ft1 | No | No | No | 2 | UFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Thomas Bordeleau | C | 21 | 2002-01-03 | Yes | 175 Lbs | 5 ft10 | No | No | No | 4 | ELC | Pro & Farm | 900,000$ | 0$ | 0$ | No | ||
Ty Smith | D | 22 | 2000-03-24 | No | 180 Lbs | 5 ft11 | No | No | No | 3 | ELC | Pro & Farm | 900,000$ | 0$ | 0$ | No | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
15 | 25.07 | 189 Lbs | 6 ft1 | 2.60 | 453,333$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Jonah Gadjovich | Kasper Bjorkqvist | 40 | 1 | 2 | 2 | |
2 | Brayden Burke | Jake Leschyshyn | Brennan Menell | 30 | 1 | 2 | 2 |
3 | Carson Focht | 20 | 1 | 2 | 2 | ||
4 | Kasper Bjorkqvist | Jake Leschyshyn | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Alex Vlasic | 40 | 1 | 2 | 2 | ||
2 | Darien Kielb | Logan Day | 30 | 1 | 2 | 2 | |
3 | Cole Hults | Josiah Didier | 20 | 1 | 2 | 2 | |
4 | Brennan Menell | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Jonah Gadjovich | Kasper Bjorkqvist | 60 | 1 | 2 | 2 | |
2 | Brayden Burke | Jake Leschyshyn | Brennan Menell | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Alex Vlasic | 60 | 1 | 2 | 2 | ||
2 | Darien Kielb | Logan Day | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Kasper Bjorkqvist | 60 | 1 | 2 | 2 | |
2 | Jake Leschyshyn | Jonah Gadjovich | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Alex Vlasic | 60 | 1 | 2 | 2 | |
2 | Darien Kielb | Logan Day | 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 | Alex Vlasic | 60 | 1 | 2 | 2 | ||
2 | Kasper Bjorkqvist | 40 | 1 | 2 | 2 | Darien Kielb | Logan Day | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Kasper Bjorkqvist | 60 | 1 | 2 | 2 | |
2 | Jake Leschyshyn | Jonah Gadjovich | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Alex Vlasic | 60 | 1 | 2 | 2 | |
2 | Darien Kielb | Logan Day | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Jonah Gadjovich | Kasper Bjorkqvist | Alex Vlasic |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Jonah Gadjovich | Kasper Bjorkqvist | Alex Vlasic |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Carson Focht, Brayden Burke, Jonah Gadjovich | Carson Focht, Brayden Burke | Jonah Gadjovich |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Cole Hults, Josiah Didier, Brennan Menell | Cole Hults | Josiah Didier, Brennan Menell |
Penalty Shots |
---|
, Kasper Bjorkqvist, Jake Leschyshyn, Jonah Gadjovich, Brayden Burke |
Goalie |
---|
#1 : , #2 : |
Custom OT Lines Forwards |
---|
, , , , , , , , , , |
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 | 74 | L2 | 235 | 410 | 645 | 1980 | 1832 | 554 | 823 | 1379 | 3 | 9 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
72 | 31 | 33 | 2 | 4 | 2 | 0 | 235 | 213 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
36 | 18 | 14 | 1 | 3 | 0 | 0 | 117 | 107 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
36 | 13 | 19 | 1 | 1 | 2 | 0 | 118 | 106 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
4 | 6 | 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 |
---|---|---|---|---|---|---|
365 | 80 | 21.92% | 332 | 69 | 79.22% | 3 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
646 | 688 | 633 | 20 | 92 | 74 | 65 | 5 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
1131 | 2113 | 53.53% | 1039 | 2027 | 51.26% | 560 | 1087 | 51.52% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
1924 | 1416 | 1601 | 469 | 816 | 425 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
2 - 2022-09-29 | 11 | Phantoms | 3 | Monsters | 4 | W | BoxScore | |||
4 - 2022-10-01 | 26 | Monsters | 5 | Wild | 2 | W | BoxScore | |||
7 - 2022-10-04 | 48 | Griffins | 4 | Monsters | 2 | L | BoxScore | |||
8 - 2022-10-05 | 58 | Monsters | 6 | Stars | 4 | W | BoxScore | |||
11 - 2022-10-08 | 79 | Monsters | 3 | Senators | 2 | W | X | X | BoxScore | |
13 - 2022-10-10 | 89 | Moose | 6 | Monsters | 0 | L | BoxScore | |||
15 - 2022-10-12 | 104 | Griffins | 3 | Monsters | 2 | L | X | BoxScore | ||
16 - 2022-10-13 | 114 | Monsters | 3 | Wild | 2 | W | BoxScore | |||
19 - 2022-10-16 | 135 | Roadrunners | 3 | Monsters | 6 | W | BoxScore | |||
20 - 2022-10-17 | 139 | Monsters | 3 | Admirals | 9 | L | BoxScore | |||
23 - 2022-10-20 | 166 | Monsters | 3 | Sound Tigers | 5 | L | BoxScore | |||
25 - 2022-10-22 | 181 | Barracuda | 3 | Monsters | 2 | L | X | BoxScore | ||
27 - 2022-10-24 | 192 | Monsters | 3 | Wild | 4 | L | BoxScore | |||
29 - 2022-10-26 | 211 | Monsters | 3 | Wolves | 5 | L | BoxScore | |||
30 - 2022-10-27 | 221 | Crunch | 4 | Monsters | 2 | L | BoxScore | |||
34 - 2022-10-31 | 244 | Wranglers | 4 | Monsters | 6 | W | BoxScore | |||
36 - 2022-11-02 | 259 | Monsters | 8 | Firebirds | 3 | W | BoxScore | |||
38 - 2022-11-04 | 272 | Monsters | 4 | Stars | 5 | L | BoxScore | |||
39 - 2022-11-05 | 285 | Moose | 5 | Monsters | 1 | L | BoxScore | |||
43 - 2022-11-09 | 305 | Sound Tigers | 5 | Monsters | 0 | L | BoxScore | |||
44 - 2022-11-10 | 321 | Monsters | 2 | Bruins | 4 | L | BoxScore | |||
47 - 2022-11-13 | 342 | Phantoms | 6 | Monsters | 0 | L | BoxScore | |||
49 - 2022-11-15 | 357 | Monsters | 2 | Crunch | 3 | L | BoxScore | |||
51 - 2022-11-17 | 368 | Monsters | 2 | Americans | 4 | L | BoxScore | |||
53 - 2022-11-19 | 381 | Roadrunners | 3 | Monsters | 5 | W | BoxScore | |||
55 - 2022-11-21 | 398 | Americans | 4 | Monsters | 2 | L | BoxScore | |||
57 - 2022-11-23 | 412 | Monsters | 3 | Admirals | 2 | W | X | BoxScore | ||
60 - 2022-11-26 | 435 | Penguins | 3 | Monsters | 1 | L | BoxScore | |||
64 - 2022-11-30 | 460 | Monsters | 0 | Devils | 3 | L | BoxScore | |||
65 - 2022-12-01 | 472 | Bears | 0 | Monsters | 6 | W | BoxScore | |||
68 - 2022-12-04 | 492 | Marlies | 0 | Monsters | 4 | W | BoxScore | |||
70 - 2022-12-06 | 508 | Monsters | 4 | IceHogs | 0 | W | BoxScore | |||
72 - 2022-12-08 | 524 | Bruins | 2 | Monsters | 3 | W | BoxScore | |||
75 - 2022-12-11 | 545 | Monsters | 0 | Wranglers | 3 | L | BoxScore | |||
77 - 2022-12-13 | 555 | Monsters | 6 | Thunderbirds | 1 | W | BoxScore | |||
78 - 2022-12-14 | 566 | Senators | 5 | Monsters | 1 | L | BoxScore | |||
81 - 2022-12-17 | 589 | Wild | 2 | Monsters | 5 | W | BoxScore | |||
82 - 2022-12-18 | 600 | Monsters | 1 | Senators | 3 | L | BoxScore | |||
85 - 2022-12-21 | 617 | Rocket | 2 | Monsters | 1 | L | X | BoxScore | ||
87 - 2022-12-23 | 633 | Monsters | 5 | Penguins | 3 | W | BoxScore | |||
89 - 2022-12-25 | 652 | Condors | 4 | Monsters | 7 | W | BoxScore | |||
91 - 2022-12-27 | 666 | Monsters | 2 | Rampage | 3 | L | BoxScore | |||
93 - 2022-12-29 | 680 | Monsters | 2 | Phantoms | 1 | W | X | X | BoxScore | |
95 - 2022-12-31 | 695 | Wolves | 3 | Monsters | 6 | W | BoxScore | |||
97 - 2023-01-02 | 715 | Reign | 0 | Monsters | 6 | W | BoxScore | |||
99 - 2023-01-04 | 728 | Monsters | 7 | Reign | 0 | W | BoxScore | |||
101 - 2023-01-06 | 745 | Wolf Pack | 4 | Monsters | 2 | L | BoxScore | |||
103 - 2023-01-08 | 761 | Monsters | 2 | Checkers | 6 | L | BoxScore | |||
105 - 2023-01-10 | 771 | Monsters | 3 | Moose | 4 | L | BoxScore | |||
107 - 2023-01-12 | 783 | Monsters | 2 | Condors | 3 | L | X | BoxScore | ||
109 - 2023-01-14 | 796 | Comets | 6 | Monsters | 1 | L | BoxScore | |||
110 - 2023-01-15 | 811 | Monsters | 8 | Roadrunners | 1 | W | BoxScore | |||
113 - 2023-01-18 | 824 | IceHogs | 0 | Monsters | 8 | W | BoxScore | |||
116 - 2023-01-21 | 851 | Firebirds | 1 | Monsters | 6 | W | BoxScore | |||
119 - 2023-01-24 | 873 | Griffins | 1 | Monsters | 2 | W | X | BoxScore | ||
121 - 2023-01-26 | 890 | Monsters | 2 | Rocket | 3 | L | BoxScore | |||
123 - 2023-01-28 | 900 | Monsters | 7 | Gulls | 3 | W | BoxScore | |||
124 - 2023-01-29 | 916 | Gulls | 1 | Monsters | 6 | W | BoxScore | |||
127 - 2023-02-01 | 932 | Monsters | 0 | Comets | 2 | L | BoxScore | |||
129 - 2023-02-03 | 944 | Checkers | 1 | Monsters | 2 | W | BoxScore | |||
130 - 2023-02-04 | 956 | Monsters | 2 | Barracuda | 0 | W | BoxScore | |||
133 - 2023-02-07 | 975 | Monsters | 8 | Marlies | 0 | W | BoxScore | |||
135 - 2023-02-09 | 987 | Eagles | 4 | Monsters | 5 | W | BoxScore | |||
137 - 2023-02-11 | 1005 | Monsters | 1 | Eagles | 2 | L | BoxScore | |||
138 - 2023-02-12 | 1017 | Monsters | 5 | Bears | 3 | W | BoxScore | |||
139 - 2023-02-13 | 1024 | Admirals | 2 | Monsters | 5 | W | BoxScore | |||
143 - 2023-02-17 | 1051 | Stars | 3 | Monsters | 0 | L | BoxScore | |||
146 - 2023-02-20 | 1073 | Devils | 4 | Monsters | 1 | L | BoxScore | |||
149 - 2023-02-23 | 1091 | Monsters | 0 | Griffins | 3 | L | BoxScore | |||
152 - 2023-02-26 | 1111 | Thunderbirds | 0 | Monsters | 3 | W | BoxScore | |||
153 - 2023-02-27 | 1119 | Monsters | 1 | Wolf Pack | 5 | L | BoxScore | |||
159 - 2023-03-05 | 1144 | Rampage | 6 | Monsters | 4 | L | BoxScore |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Arena Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 67,380 | 33,942 |
Attendance PCT | 93.58% | 94.28% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 2815 - 93.82% | 70,093$ | 2,523,340$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
2,300,361$ | 68,000$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 57,995$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 6,634$ | 0$ |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
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 |
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 |
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 | 92 | 74 | 65 | 5 | 1980 | 646 | 688 | 633 | 20 | 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 |
Total Regular Season | 470 | 250 | 157 | 0 | 15 | 15 | 17 | 16 | 1515 | 1032 | 483 | 235 | 129 | 78 | 0 | 6 | 8 | 7 | 7 | 758 | 507 | 251 | 235 | 121 | 79 | 0 | 9 | 7 | 10 | 9 | 757 | 525 | 232 | 595 | 1515 | 2722 | 4237 | 7 | 57 | 92 | 577 | 465 | 354 | 13425 | 646 | 4461 | 4385 | 3852 | 10422 | 3124 | 6415 | 8888 | 2623 | 454 | 17.31% | 2625 | 363 | 86.17% | 30 | 8653 | 14749 | 58.67% | 7318 | 13284 | 55.09% | 3894 | 6676 | 58.33% | 12933 | 9446 | 9997 | 3188 | 5495 | 2890 |
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 |
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 |
Total Playoff | 43 | 26 | 17 | 0 | 0 | 0 | 0 | 0 | 96 | 74 | 22 | 22 | 12 | 10 | 0 | 0 | 0 | 0 | 0 | 36 | 38 | -2 | 21 | 14 | 7 | 0 | 0 | 0 | 0 | 0 | 60 | 36 | 24 | 52 | 96 | 169 | 265 | 0 | 8 | 0 | 33 | 31 | 28 | 1013 | 0 | 354 | 309 | 311 | 964 | 288 | 734 | 857 | 281 | 32 | 11.39% | 318 | 29 | 90.88% | 4 | 720 | 1392 | 51.72% | 730 | 1444 | 50.55% | 334 | 613 | 54.49% | 1073 | 723 | 1104 | 350 | 570 | 280 |
Players Ratings by Showtime Hockey | WebSim by SimonT Hockey Simulator