| 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 | Carl Grundstrom (R) | X | X | 100.00 | 90 | 46 | 87 | 76 | 70 | 68 | 71 | 75 | 25 | 57 | 75 | 56 | 25 | 45 | 45 | 71 | 50 | 64 | 0 | |||
| 2 | Chris Conner | X | X | 100.00 | 71 | 62 | 92 | 65 | 62 | 79 | 84 | 64 | 50 | 63 | 59 | 65 | 56 | 54 | 54 | 65 | 50 | 63 | 0 | |||
| 3 | Laurent Dauphin | X | X | X | 100.00 | 70 | 68 | 73 | 72 | 68 | 70 | 73 | 60 | 75 | 60 | 56 | 62 | 53 | 47 | 47 | 62 | 50 | 61 | 0 | ||
| 4 | Matthew Peca | X | X | X | 100.00 | 71 | 42 | 96 | 76 | 61 | 57 | 73 | 55 | 59 | 64 | 58 | 71 | 25 | 48 | 48 | 64 | 50 | 61 | 0 | ||
| 5 | A.J. Greer (R) | X | X | 100.00 | 78 | 44 | 74 | 72 | 76 | 45 | 77 | 56 | 37 | 57 | 58 | 58 | 25 | 46 | 46 | 60 | 50 | 58 | 0 | |||
| 6 | Blake Lizotte (R) | X | 100.00 | 51 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 50 | 54 | 1 | ||||
| 7 | Oscar Fantenberg | X | 100.00 | 80 | 54 | 90 | 76 | 73 | 69 | 74 | 59 | 25 | 43 | 48 | 72 | 25 | 51 | 52 | 60 | 50 | 64 | 0 | ||||
| 8 | Steven Kampfer | X | 100.00 | 78 | 44 | 82 | 68 | 70 | 65 | 53 | 64 | 25 | 49 | 50 | 64 | 25 | 61 | 61 | 59 | 50 | 62 | 0 | ||||
| 9 | Andrew Campbell | X | 100.00 | 78 | 78 | 77 | 68 | 78 | 71 | 78 | 47 | 25 | 34 | 41 | 65 | 39 | 58 | 58 | 53 | 50 | 61 | 0 | ||||
| Scratches | ||||||||||||||||||||||||||
| 1 | Luke Witkowski | X | X | 100.00 | 85 | 96 | 80 | 71 | 80 | 53 | 55 | 58 | 25 | 46 | 47 | 63 | 25 | 55 | 56 | 58 | 50 | 61 | 0 | |||
| TEAM AVERAGE | 100.00 | 75 | 59 | 81 | 70 | 69 | 63 | 69 | 59 | 40 | 53 | 55 | 63 | 35 | 52 | 52 | 61 | 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 | Spencer Martin | 100.00 | 53 | 58 | 73 | 83 | 52 | 60 | 50 | 57 | 57 | 56 | 30 | 44 | 44 | 55 | 50 | 57 | 0 | |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 53 | 58 | 73 | 83 | 52 | 60 | 50 | 57 | 57 | 56 | 30 | 44 | 44 | 55 | 50 | 57 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dallas Eakins | 64 | 61 | 41 | 44 | 62 | 48 | 53 | USA | 48 | 3 | 800,000$ |
| 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 | Blake Lizotte | Bears (WSH) | C | 61 | 42 | 48 | 90 | 51 | 13 | 5 | 42 | 118 | 245 | 63 | 197 | 17.14% | 24 | 995 | 16.32 | 3 | 13 | 16 | 36 | 144 | 1 | 1 | 2 | 8 | 130 | 6 | 1 | 68.13% | 888 | 0 | 0 | 0 | 6 | 1.81 | 1 | 1 | 0 | 0 | 1 | 10 | 9 | 1 |
| 2 | Matthew Peca | Bears (WSH) | C/LW/RW | 61 | 37 | 53 | 90 | 57 | 16 | 0 | 24 | 143 | 238 | 68 | 143 | 15.55% | 21 | 1135 | 18.61 | 4 | 14 | 18 | 29 | 140 | 1 | 0 | 1 | 10 | 160 | 6 | 1 | 71.04% | 1630 | 0 | 0 | 1 | 1 | 1.59 | 0 | 6 | 0 | 0 | 0 | 7 | 4 | 8 |
| 3 | A.J. Greer | Bears (WSH) | LW/RW | 61 | 36 | 53 | 89 | 52 | 44 | 0 | 140 | 84 | 303 | 83 | 202 | 11.88% | 16 | 964 | 15.81 | 5 | 8 | 13 | 36 | 137 | 0 | 2 | 2 | 3 | 102 | 8 | 2 | 58.70% | 138 | 0 | 0 | 0 | 1 | 1.85 | 2 | 2 | 0 | 0 | 0 | 8 | 11 | 3 |
| 4 | Laurent Dauphin | Bears (WSH) | C/LW/RW | 61 | 32 | 56 | 88 | 59 | 27 | 5 | 71 | 83 | 218 | 60 | 189 | 14.68% | 18 | 1144 | 18.76 | 5 | 13 | 18 | 27 | 140 | 1 | 0 | 1 | 7 | 171 | 4 | 3 | 75.76% | 99 | 0 | 0 | 0 | 1 | 1.54 | 0 | 6 | 1 | 0 | 0 | 3 | 6 | 9 |
| 5 | Steven Kampfer | Bears (WSH) | D | 61 | 17 | 54 | 71 | 36 | 54 | 0 | 216 | 68 | 114 | 36 | 83 | 14.91% | 71 | 1265 | 20.75 | 6 | 5 | 11 | 41 | 139 | 1 | 2 | 3 | 3 | 133 | 3 | 0 | 100.00% | 3 | 0 | 0 | 0 | 0 | 1.12 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 4 |
| 6 | Andrew Campbell | Bears (WSH) | D | 61 | 21 | 41 | 62 | 26 | 104 | 10 | 206 | 61 | 116 | 44 | 111 | 18.10% | 70 | 1114 | 18.27 | 12 | 8 | 20 | 51 | 132 | 0 | 0 | 0 | 3 | 96 | 1 | 1 | 71.43% | 7 | 0 | 0 | 0 | 0 | 1.11 | 0 | 0 | 0 | 1 | 1 | 5 | 2 | 6 |
| 7 | Luke Witkowski | Bears (WSH) | RW/D | 58 | 20 | 31 | 51 | 50 | 92 | 10 | 129 | 53 | 145 | 34 | 92 | 13.79% | 7 | 971 | 16.76 | 3 | 4 | 7 | 23 | 132 | 0 | 0 | 0 | 0 | 77 | 3 | 0 | 56.06% | 66 | 0 | 0 | 0 | 0 | 1.05 | 5 | 5 | 1 | 0 | 1 | 2 | 3 | 5 |
| Team Total or Average | 424 | 205 | 336 | 541 | 331 | 350 | 30 | 828 | 610 | 1379 | 388 | 1017 | 14.87% | 227 | 7591 | 17.90 | 38 | 65 | 103 | 243 | 967 | 4 | 5 | 9 | 34 | 872 | 31 | 8 | 69.37% | 2831 | 0 | 0 | 1 | 9 | 1.43 | 8 | 20 | 2 | 1 | 3 | 40 | 40 | 36 | |||
| 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 | Spencer Martin | Bears (WSH) | 61 | 44 | 15 | 1 | 0.902 | 2.38 | 3533 | 10 | 5 | 140 | 1433 | 0 | 3 | 1 | 0.762 | 21 | 61 | 0 | 1 | 2 | 1 |
| Team Total or Average | 61 | 44 | 15 | 1 | 0.902 | 2.38 | 3533 | 10 | 5 | 140 | 1433 | 0 | 3 | 1 | 0.762 | 21 | 61 | 0 | 1 | 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 | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| A.J. Greer | Bears (WSH) | LW/RW | 23 | 1996-12-14 | Yes | 204 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 825,000$ | 0$ | 0$ | No | 825,000$ | 825,000$ | Link | ||||||||
| Andrew Campbell | Bears (WSH) | D | 32 | 1988-02-04 | No | 205 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 650,000$ | 0$ | 0$ | No | 650,000$ | Link | |||||||||
| Blake Lizotte | Bears (WSH) | C | 22 | 1997-12-13 11:41:36 AM | Yes | 172 Lbs | 5 ft7 | No | No | No | 3 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | |||||||||
| Carl Grundstrom | Bears (WSH) | LW/RW | 22 | 1997-12-01 | Yes | 194 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | Link | ||||||||
| Chris Conner | Bears (WSH) | LW/RW | 36 | 1983-12-23 | No | 181 Lbs | 5 ft7 | No | No | No | 1 | Pro & Farm | 650,000$ | 0$ | 0$ | No | Link | ||||||||||
| Laurent Dauphin | Bears (WSH) | C/LW/RW | 25 | 1995-03-27 | No | 180 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 894,167$ | 0$ | 0$ | No | Link | ||||||||||
| Luke Witkowski | Bears (WSH) | RW/D | 30 | 1990-04-14 | No | 210 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | ||||||||||
| Matthew Peca | Bears (WSH) | C/LW/RW | 26 | 1993-04-27 | No | 178 Lbs | 5 ft8 | No | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No | Link | ||||||||||
| Oscar Fantenberg | Bears (WSH) | D | 28 | 1991-10-07 | No | 203 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 650,000$ | 0$ | 0$ | No | 650,000$ | Link | |||||||||
| Spencer Martin | Bears (WSH) | G | 24 | 1995-06-07 | No | 210 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 894,000$ | 0$ | 0$ | No | Link | ||||||||||
| Steven Kampfer | Bears (WSH) | D | 31 | 1988-09-24 | No | 195 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 650,000$ | 0$ | 0$ | No | Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 11 | 27.18 | 194 Lbs | 6 ft0 | 1.73 | 794,379$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Laurent Dauphin | Matthew Peca | 40 | 1 | 2 | 2 | |
| 2 | A.J. Greer | Blake Lizotte | 30 | 1 | 2 | 2 | |
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | Laurent Dauphin | Matthew Peca | 10 | 1 | 2 | 2 | |
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Steven Kampfer | 40 | 1 | 2 | 2 | ||
| 2 | Andrew Campbell | 30 | 1 | 2 | 2 | ||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | Steven Kampfer | 10 | 1 | 2 | 2 | ||
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Laurent Dauphin | Matthew Peca | 60 | 1 | 2 | 2 | |
| 2 | A.J. Greer | Blake Lizotte | 40 | 1 | 2 | 2 | |
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Steven Kampfer | 60 | 1 | 2 | 2 | ||
| 2 | Andrew Campbell | 40 | 1 | 2 | 2 | ||
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Matthew Peca | Laurent Dauphin | 60 | 1 | 2 | 2 |
| 2 | A.J. Greer | Blake Lizotte | 40 | 1 | 2 | 2 |
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Steven Kampfer | 60 | 1 | 2 | 2 | |
| 2 | Andrew Campbell | 40 | 1 | 2 | 2 | |
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Matthew Peca | 60 | 1 | 2 | 2 | Steven Kampfer | 60 | 1 | 2 | 2 | |
| 2 | Laurent Dauphin | 40 | 1 | 2 | 2 | Andrew Campbell | 40 | 1 | 2 | 2 | |
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Matthew Peca | Laurent Dauphin | 60 | 1 | 2 | 2 |
| 2 | A.J. Greer | Blake Lizotte | 40 | 1 | 2 | 2 |
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Steven Kampfer | 60 | 1 | 2 | 2 | |
| 2 | Andrew Campbell | 40 | 1 | 2 | 2 | |
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Laurent Dauphin | Matthew Peca | Steven Kampfer | ||
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Laurent Dauphin | Matthew Peca | Steven Kampfer | ||
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| A.J. Greer, Blake Lizotte, Matthew Peca | A.J. Greer, Blake Lizotte | Matthew Peca |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Andrew Campbell, , Steven Kampfer | Andrew Campbell | , Steven Kampfer |
| Penalty Shots |
|---|
| Matthew Peca, Laurent Dauphin, , A.J. Greer, Blake Lizotte |
| Goalie |
|---|
| #1 : Spencer Martin, #2 : |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Team | 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 | 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 |
| 1 | Americans | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 10 | 20 | -10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 11 | -3 | 2 | 0.333 | 10 | 18 | 28 | 0 | 0 | 112 | 90 | 100 | 12 | 53 | 859 | 876 | 900 | 41 | 113 | 22 | 43 | 27 | 8 | 2 | 25.00% | 9 | 1 | 88.89% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 2 | Admirals | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 8 | 15 | 23 | 1 | 0 | 112 | 90 | 100 | 12 | 104 | 859 | 876 | 900 | 41 | 64 | 19 | 4 | 52 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 3 | Barracudas | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 112 | 90 | 100 | 12 | 73 | 859 | 876 | 900 | 41 | 36 | 5 | 6 | 53 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 4 | Bruins | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 8 | 11 | -3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 0.333 | 8 | 12 | 20 | 0 | 0 | 112 | 90 | 100 | 12 | 66 | 859 | 876 | 900 | 41 | 63 | 16 | 31 | 31 | 9 | 1 | 11.11% | 11 | 1 | 90.91% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 5 | Checkers | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 17 | -8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 4 | 0.500 | 9 | 14 | 23 | 0 | 0 | 112 | 90 | 100 | 12 | 75 | 859 | 876 | 900 | 41 | 129 | 35 | 24 | 59 | 12 | 2 | 16.67% | 10 | 1 | 90.00% | 1 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 6 | Comets | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 12 | -7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 112 | 90 | 100 | 12 | 34 | 859 | 876 | 900 | 41 | 73 | 14 | 10 | 20 | 12 | 1 | 8.33% | 5 | 1 | 80.00% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 7 | Condors | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 112 | 90 | 100 | 12 | 34 | 859 | 876 | 900 | 41 | 58 | 15 | 10 | 18 | 10 | 2 | 20.00% | 5 | 3 | 40.00% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 8 | Crunch | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 112 | 90 | 100 | 12 | 92 | 859 | 876 | 900 | 41 | 80 | 17 | 30 | 79 | 9 | 0 | 0.00% | 15 | 0 | 100.00% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 9 | Devils | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 3 | 22 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 1 | 10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 2 | 12 | 8 | 1.000 | 25 | 44 | 69 | 0 | 2 | 112 | 90 | 100 | 12 | 211 | 859 | 876 | 900 | 41 | 67 | 18 | 26 | 77 | 6 | 2 | 33.33% | 11 | 1 | 90.91% | 1 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 10 | Eagles | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 8 | 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 15 | 30 | 45 | 0 | 0 | 112 | 90 | 100 | 12 | 94 | 859 | 876 | 900 | 41 | 76 | 21 | 6 | 49 | 6 | 2 | 33.33% | 3 | 1 | 66.67% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 11 | Griffins | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 9 | 6 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 7 | 5 | 2 | 6 | 1.000 | 9 | 12 | 21 | 0 | 0 | 112 | 90 | 100 | 12 | 108 | 859 | 876 | 900 | 41 | 74 | 22 | 22 | 73 | 11 | 3 | 27.27% | 11 | 1 | 90.91% | 1 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 12 | Gulls | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 6 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 112 | 90 | 100 | 12 | 81 | 859 | 876 | 900 | 41 | 50 | 20 | 24 | 47 | 8 | 2 | 25.00% | 11 | 1 | 90.91% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 13 | Heat | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 24 | -23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | -12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 12 | -11 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 112 | 90 | 100 | 12 | 17 | 859 | 876 | 900 | 41 | 129 | 29 | 10 | 33 | 3 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 14 | IceHogs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 14 | -11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | -9 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 112 | 90 | 100 | 12 | 31 | 859 | 876 | 900 | 41 | 95 | 25 | 8 | 37 | 5 | 2 | 40.00% | 4 | 0 | 100.00% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 15 | Marlies | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 14 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 2 | 0.333 | 12 | 23 | 35 | 0 | 0 | 112 | 90 | 100 | 12 | 68 | 859 | 876 | 900 | 41 | 142 | 42 | 13 | 44 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 16 | Monsters | 4 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 5 | 11 | -6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 4 | 0 | 2 | 0.250 | 5 | 7 | 12 | 0 | 0 | 112 | 90 | 100 | 12 | 73 | 859 | 876 | 900 | 41 | 104 | 35 | 34 | 44 | 16 | 2 | 12.50% | 17 | 2 | 88.24% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 17 | Moose | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 112 | 90 | 100 | 12 | 62 | 859 | 876 | 900 | 41 | 48 | 19 | 18 | 48 | 9 | 2 | 22.22% | 8 | 0 | 100.00% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 18 | Penguins | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 18 | 11 | 7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 6 | 0.750 | 18 | 31 | 49 | 1 | 0 | 112 | 90 | 100 | 12 | 113 | 859 | 876 | 900 | 41 | 91 | 37 | 26 | 83 | 19 | 6 | 31.58% | 13 | 1 | 92.31% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 19 | Phantoms | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 16 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 4 | 0.500 | 19 | 34 | 53 | 0 | 0 | 112 | 90 | 100 | 12 | 134 | 859 | 876 | 900 | 41 | 153 | 55 | 14 | 69 | 12 | 1 | 8.33% | 7 | 1 | 85.71% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 20 | Rampage | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 5 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 3 | 0.750 | 9 | 17 | 26 | 0 | 0 | 112 | 90 | 100 | 12 | 75 | 859 | 876 | 900 | 41 | 87 | 24 | 10 | 47 | 6 | 2 | 33.33% | 5 | 1 | 80.00% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 21 | Reign | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 3 | 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 12 | 20 | 32 | 0 | 0 | 112 | 90 | 100 | 12 | 101 | 859 | 876 | 900 | 41 | 51 | 18 | 6 | 46 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 22 | Roadrunners | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 5 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 112 | 90 | 100 | 12 | 77 | 859 | 876 | 900 | 41 | 68 | 24 | 16 | 33 | 9 | 3 | 33.33% | 8 | 1 | 87.50% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 23 | Rocket | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 22 | -19 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 14 | -12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | -7 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 112 | 90 | 100 | 12 | 43 | 859 | 876 | 900 | 41 | 125 | 43 | 28 | 41 | 8 | 0 | 0.00% | 13 | 0 | 100.00% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 24 | Senators | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 17 | 4 | 13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 2 | 12 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 6 | 1.000 | 17 | 25 | 42 | 0 | 1 | 112 | 90 | 100 | 12 | 121 | 859 | 876 | 900 | 41 | 73 | 22 | 8 | 67 | 8 | 3 | 37.50% | 3 | 1 | 66.67% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 25 | Sound Tigers | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 22 | 11 | 11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 3 | 11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 6 | 0.750 | 22 | 37 | 59 | 0 | 0 | 112 | 90 | 100 | 12 | 200 | 859 | 876 | 900 | 41 | 113 | 22 | 27 | 104 | 8 | 1 | 12.50% | 10 | 0 | 100.00% | 1 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 26 | Stars | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 112 | 90 | 100 | 12 | 71 | 859 | 876 | 900 | 41 | 108 | 39 | 4 | 41 | 4 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 27 | Thunderbirds | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 15 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 15 | -5 | 4 | 0.667 | 13 | 23 | 36 | 0 | 1 | 112 | 90 | 100 | 12 | 85 | 859 | 876 | 900 | 41 | 85 | 25 | 25 | 42 | 15 | 4 | 26.67% | 4 | 0 | 100.00% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| Total | 82 | 38 | 33 | 0 | 4 | 1 | 5 | 1 | 311 | 299 | 12 | 41 | 24 | 15 | 0 | 0 | 0 | 1 | 1 | 162 | 129 | 33 | 41 | 14 | 18 | 0 | 4 | 1 | 4 | 0 | 149 | 170 | -21 | 96 | 0.585 | 311 | 544 | 855 | 2 | 5 | 112 | 90 | 100 | 12 | 2656 | 859 | 876 | 900 | 41 | 2586 | 738 | 526 | 1537 | 234 | 46 | 19.66% | 218 | 24 | 88.99% | 4 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 | |
| 29 | Wild | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 1 | 11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 12 | 22 | 34 | 0 | 1 | 112 | 90 | 100 | 12 | 112 | 859 | 876 | 900 | 41 | 34 | 14 | 12 | 62 | 0 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 30 | Wolf Pack | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 8 | 19 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 5 | 9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 3 | 10 | 8 | 1.000 | 27 | 51 | 78 | 0 | 0 | 112 | 90 | 100 | 12 | 207 | 859 | 876 | 900 | 41 | 133 | 28 | 8 | 82 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 31 | Wolves | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 112 | 90 | 100 | 12 | 41 | 859 | 876 | 900 | 41 | 64 | 13 | 23 | 29 | 7 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| _Since Last GM Reset | 82 | 38 | 33 | 0 | 4 | 1 | 5 | 1 | 311 | 299 | 12 | 41 | 24 | 15 | 0 | 0 | 0 | 1 | 1 | 162 | 129 | 33 | 41 | 14 | 18 | 0 | 4 | 1 | 4 | 0 | 149 | 170 | -21 | 96 | 0.585 | 311 | 544 | 855 | 2 | 5 | 112 | 90 | 100 | 12 | 2656 | 859 | 876 | 900 | 41 | 2586 | 738 | 526 | 1537 | 234 | 46 | 19.66% | 218 | 24 | 88.99% | 4 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 | |
| _Vs Conference | 51 | 24 | 20 | 0 | 2 | 0 | 4 | 1 | 199 | 170 | 29 | 26 | 15 | 9 | 0 | 0 | 0 | 1 | 1 | 105 | 73 | 32 | 25 | 9 | 11 | 0 | 2 | 0 | 3 | 0 | 94 | 97 | -3 | 61 | 0.598 | 199 | 339 | 538 | 1 | 4 | 112 | 90 | 100 | 12 | 1630 | 859 | 876 | 900 | 41 | 1505 | 431 | 326 | 915 | 152 | 27 | 17.76% | 139 | 12 | 91.37% | 4 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 | |
| _Vs Division | 28 | 15 | 9 | 0 | 0 | 0 | 2 | 0 | 125 | 77 | 48 | 14 | 8 | 3 | 0 | 0 | 0 | 1 | 0 | 63 | 37 | 26 | 14 | 7 | 6 | 0 | 0 | 0 | 1 | 0 | 62 | 40 | 22 | 34 | 0.607 | 125 | 218 | 343 | 1 | 2 | 112 | 90 | 100 | 12 | 1013 | 859 | 876 | 900 | 41 | 790 | 230 | 159 | 518 | 77 | 14 | 18.18% | 72 | 6 | 91.67% | 3 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 | |
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 82 | 96 | W3 | 311 | 544 | 855 | 2656 | 2586 | 738 | 526 | 1537 | 2 | 5 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 82 | 38 | 33 | 4 | 1 | 5 | 1 | 311 | 299 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 41 | 24 | 15 | 0 | 0 | 1 | 1 | 162 | 129 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 41 | 14 | 18 | 4 | 1 | 4 | 0 | 149 | 170 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 7 | 2 | 0 | 0 | 1 | 0 |
| Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
|---|---|---|---|---|---|---|
| 234 | 46 | 19.66% | 218 | 24 | 88.99% | 4 |
| Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
|---|---|---|---|---|---|---|---|
| 859 | 876 | 900 | 41 | 112 | 90 | 100 | 12 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 1988 | 1508 | 2086 | 502 | 886 | 429 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 - 2019-10-04 | 2 | Bears | 3 | Rampage | 4 | L | X | BoxScore | ||
| 3 - 2019-10-06 | 15 | Bears | 3 | Sound Tigers | 7 | L | BoxScore | |||
| 4 - 2019-10-07 | 30 | Checkers | 6 | Bears | 0 | L | BoxScore | |||
| 7 - 2019-10-10 | 43 | Stars | 5 | Bears | 2 | L | BoxScore | |||
| 9 - 2019-10-12 | 53 | Bears | 3 | Admirals | 5 | L | BoxScore | |||
| 11 - 2019-10-14 | 65 | Bears | 2 | Stars | 5 | L | BoxScore | |||
| 13 - 2019-10-16 | 84 | Eagles | 4 | Bears | 8 | W | BoxScore | |||
| 15 - 2019-10-18 | 97 | Marlies | 4 | Bears | 2 | L | BoxScore | |||
| 17 - 2019-10-20 | 112 | Wolf Pack | 3 | Bears | 6 | W | BoxScore | |||
| 19 - 2019-10-22 | 125 | Bears | 0 | IceHogs | 9 | L | BoxScore | |||
| 21 - 2019-10-24 | 135 | Bears | 1 | Heat | 12 | L | BoxScore | |||
| 23 - 2019-10-26 | 149 | Bears | 2 | Condors | 8 | L | BoxScore | |||
| 24 - 2019-10-27 | 159 | Bears | 2 | Comets | 8 | L | BoxScore | |||
| 28 - 2019-10-31 | 187 | Bears | 3 | Marlies | 8 | L | BoxScore | |||
| 31 - 2019-11-03 | 203 | Americans | 9 | Bears | 2 | L | BoxScore | |||
| 33 - 2019-11-05 | 219 | Heat | 12 | Bears | 0 | L | BoxScore | |||
| 37 - 2019-11-09 | 242 | Bears | 3 | Thunderbirds | 10 | L | BoxScore | |||
| 39 - 2019-11-11 | 262 | Wolves | 6 | Bears | 0 | L | BoxScore | |||
| 41 - 2019-11-13 | 271 | Roadrunners | 2 | Bears | 5 | W | BoxScore | |||
| 43 - 2019-11-15 | 284 | Bears | 4 | Phantoms | 9 | L | BoxScore | |||
| 45 - 2019-11-17 | 298 | Rocket | 8 | Bears | 0 | L | BoxScore | |||
| 46 - 2019-11-18 | 300 | Bears | 2 | Bruins | 4 | L | BoxScore | |||
| 48 - 2019-11-20 | 317 | Gulls | 3 | Bears | 5 | W | BoxScore | |||
| 50 - 2019-11-22 | 332 | Bears | 5 | Wolf Pack | 1 | W | BoxScore | |||
| 53 - 2019-11-25 | 361 | Comets | 4 | Bears | 3 | L | X | X | BoxScore | |
| 57 - 2019-11-29 | 389 | Thunderbirds | 0 | Bears | 3 | W | BoxScore | |||
| 59 - 2019-12-01 | 402 | Crunch | 5 | Bears | 1 | L | BoxScore | |||
| 60 - 2019-12-02 | 406 | Bears | 3 | Griffins | 2 | W | X | BoxScore | ||
| 63 - 2019-12-05 | 431 | Bears | 4 | Barracudas | 2 | W | BoxScore | |||
| 64 - 2019-12-06 | 435 | Bears | 8 | Reign | 2 | W | BoxScore | |||
| 66 - 2019-12-08 | 447 | Bears | 4 | Gulls | 3 | W | X | BoxScore | ||
| 69 - 2019-12-11 | 471 | Monsters | 3 | Bears | 0 | L | BoxScore | |||
| 71 - 2019-12-13 | 486 | Bruins | 2 | Bears | 3 | W | X | X | BoxScore | |
| 74 - 2019-12-16 | 514 | Bears | 1 | Crunch | 2 | L | BoxScore | |||
| 76 - 2019-12-18 | 519 | Bears | 2 | Monsters | 1 | W | X | X | BoxScore | |
| 80 - 2019-12-22 | 550 | Bears | 6 | Devils | 2 | W | BoxScore | |||
| 81 - 2019-12-23 | 564 | Crunch | 2 | Bears | 5 | W | BoxScore | |||
| 83 - 2019-12-25 | 569 | Bears | 3 | Bruins | 5 | L | BoxScore | |||
| 87 - 2019-12-29 | 592 | Monsters | 4 | Bears | 1 | L | BoxScore | |||
| 88 - 2019-12-30 | 593 | Bears | 2 | Checkers | 6 | L | BoxScore | |||
| 91 - 2020-01-02 | 625 | Sound Tigers | 1 | Bears | 8 | W | BoxScore | |||
| 94 - 2020-01-05 | 639 | Bears | 4 | Checkers | 3 | W | BoxScore | |||
| 96 - 2020-01-07 | 658 | Barracudas | 2 | Bears | 5 | W | BoxScore | |||
| 98 - 2020-01-09 | 674 | Senators | 2 | Bears | 6 | W | BoxScore | |||
| 99 - 2020-01-10 | 676 | Bears | 6 | Phantoms | 1 | W | BoxScore | |||
| 102 - 2020-01-13 | 702 | Devils | 0 | Bears | 5 | W | BoxScore | |||
| 104 - 2020-01-15 | 713 | Checkers | 2 | Bears | 3 | W | BoxScore | |||
| 107 - 2020-01-18 | 739 | Devils | 1 | Bears | 6 | W | BoxScore | |||
| 109 - 2020-01-20 | 750 | Bears | 5 | Sound Tigers | 1 | W | BoxScore | |||
| 118 - 2020-01-29 | 769 | Bears | 1 | Rocket | 8 | L | BoxScore | |||
| 120 - 2020-01-31 | 781 | Admirals | 1 | Bears | 5 | W | BoxScore | |||
| 122 - 2020-02-02 | 789 | Bears | 3 | Senators | 2 | W | X | BoxScore | ||
| 124 - 2020-02-04 | 808 | Penguins | 2 | Bears | 8 | W | BoxScore | |||
| 126 - 2020-02-06 | 824 | Reign | 1 | Bears | 4 | W | BoxScore | |||
| 130 - 2020-02-10 | 854 | Phantoms | 1 | Bears | 8 | W | BoxScore | |||
| 132 - 2020-02-12 | 865 | Sound Tigers | 2 | Bears | 6 | W | BoxScore | |||
| 135 - 2020-02-15 | 882 | Bears | 7 | Eagles | 4 | W | BoxScore | |||
| 137 - 2020-02-17 | 895 | Bears | 4 | Roadrunners | 3 | W | X | X | BoxScore | |
| 139 - 2020-02-19 | 919 | Bears | 0 | Wolves | 2 | L | BoxScore | |||
| 142 - 2020-02-22 | 940 | Rocket | 6 | Bears | 2 | L | BoxScore | |||
| 144 - 2020-02-24 | 950 | Bears | 8 | Devils | 0 | W | BoxScore | |||
| 145 - 2020-02-25 | 966 | Penguins | 5 | Bears | 3 | L | BoxScore | |||
| 147 - 2020-02-27 | 980 | Moose | 2 | Bears | 3 | W | BoxScore | |||
| 149 - 2020-02-29 | 993 | Bears | 4 | Moose | 2 | W | BoxScore | |||
| 152 - 2020-03-03 | 1014 | Bears | 5 | Wild | 1 | W | BoxScore | |||
| 155 - 2020-03-06 | 1032 | Phantoms | 5 | Bears | 1 | L | BoxScore | |||
| 156 - 2020-03-07 | 1038 | Bears | 8 | Wolf Pack | 2 | W | BoxScore | |||
| 158 - 2020-03-09 | 1057 | Bears | 3 | Penguins | 2 | W | X | X | BoxScore | |
| 160 - 2020-03-11 | 1066 | Bears | 4 | Americans | 3 | W | X | BoxScore | ||
| 163 - 2020-03-14 | 1092 | Griffins | 1 | Bears | 2 | W | BoxScore | |||
| 165 - 2020-03-16 | 1108 | IceHogs | 5 | Bears | 3 | L | BoxScore | |||
| 167 - 2020-03-18 | 1122 | Condors | 3 | Bears | 2 | L | BoxScore | |||
| 170 - 2020-03-21 | 1138 | Bears | 2 | Monsters | 3 | L | BoxScore | |||
| 171 - 2020-03-22 | 1152 | Senators | 0 | Bears | 8 | W | BoxScore | |||
| 173 - 2020-03-24 | 1169 | Bears | 4 | Penguins | 2 | W | BoxScore | |||
| 175 - 2020-03-26 | 1184 | Rampage | 1 | Bears | 6 | W | BoxScore | |||
| 177 - 2020-03-28 | 1198 | Wolf Pack | 2 | Bears | 8 | W | BoxScore | |||
| 179 - 2020-03-30 | 1209 | Bears | 4 | Griffins | 3 | W | X | X | BoxScore | |
| 181 - 2020-04-01 | 1224 | Bears | 4 | Americans | 8 | L | BoxScore | |||
| 182 - 2020-04-02 | 1238 | Marlies | 2 | Bears | 7 | W | BoxScore | |||
| 184 - 2020-04-04 | 1254 | Wild | 0 | Bears | 7 | W | BoxScore | |||
| 186 - 2020-04-06 | 1263 | Bears | 7 | Thunderbirds | 5 | W | BoxScore |
| Arena Capacity - Ticket Price Attendance - % | ||
|---|---|---|
| Level 1 | Level 2 | |
| Arena Capacity | 2000 | 1000 |
| Ticket Price | 35 | 0 |
| Attendance | 74,186 | 36,026 |
| Attendance PCT | 90.47% | 87.87% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 0 | 2688 - 89.60% | 63,330$ | 2,596,510$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
| 1,649,180$ | 873,817$ | 873,817$ | 0$ |
| Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|
| 4,698$ | 849,118$ | 0 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 8,999$ | 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 |
| 2019 | 82 | 38 | 33 | 0 | 4 | 1 | 5 | 1 | 311 | 299 | 12 | 41 | 24 | 15 | 0 | 0 | 0 | 1 | 1 | 162 | 129 | 33 | 41 | 14 | 18 | 0 | 4 | 1 | 4 | 0 | 149 | 170 | -21 | 96 | 311 | 544 | 855 | 2 | 5 | 112 | 90 | 100 | 12 | 2656 | 859 | 876 | 900 | 41 | 2586 | 738 | 526 | 1537 | 234 | 46 | 19.66% | 218 | 24 | 88.99% | 4 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |
| Total Regular Season | 82 | 38 | 33 | 0 | 4 | 1 | 5 | 1 | 311 | 299 | 12 | 41 | 24 | 15 | 0 | 0 | 0 | 1 | 1 | 162 | 129 | 33 | 41 | 14 | 18 | 0 | 4 | 1 | 4 | 0 | 149 | 170 | -21 | 96 | 311 | 544 | 855 | 2 | 5 | 112 | 90 | 100 | 12 | 2656 | 859 | 876 | 900 | 41 | 2586 | 738 | 526 | 1537 | 234 | 46 | 19.66% | 218 | 24 | 88.99% | 4 | 1249 | 2155 | 57.96% | 1026 | 2139 | 47.97% | 648 | 1299 | 49.88% | 1988 | 1508 | 2086 | 502 | 886 | 429 |