![]() | BANGOR BEAGLES |
| GP: 10 | W: 7 | L: 3 | OTL: 0 | P: 14 GF: 48 | GA: 36 | PP%: 8.70% | PK%: 78.95% GM : Clint T | Morale : 88 | Team Overall : 82 Next Games #112 vs NEWTON NIGHTMARES |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Player Name | 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 | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Filip Forsberg (A) | X | X | X | 100.00 | 61 | 1 | 99 | 96 | 94 | 94 | 95 | 99 | 78 | 99 | 99 | 81 | 69 | 99 | 99 | 0 | 83 | 89 | 2 | 32 | 2 | 2,475,350$ | ||
| 2 | Evgeni Malkin (A) | X | X | X | 100.00 | 61 | 1 | 99 | 85 | 79 | 95 | 96 | 99 | 76 | 99 | 99 | 98 | 80 | 99 | 99 | 0 | 83 | 89 | 2 | 40 | 4 | 3,267,000$ | ||
| 3 | Alex Ovechkin | X | X | 100.00 | 48 | 6 | 99 | 90 | 84 | 89 | 89 | 99 | 30 | 99 | 96 | 90 | 88 | 99 | 99 | 0 | 83 | 87 | 2 | 41 | 3 | 2,761,300$ | |||
| 4 | Anton Lundell | X | X | X | 100.00 | 49 | 4 | 96 | 95 | 95 | 99 | 94 | 92 | 68 | 92 | 89 | 83 | 60 | 99 | 99 | 0 | 83 | 86 | 1 | 25 | 3 | 900,000$ | ||
| 5 | Matt Duchene (C) | X | X | X | 100.00 | 2 | 1 | 99 | 88 | 78 | 95 | 96 | 99 | 95 | 99 | 99 | 81 | 75 | 99 | 99 | 0 | 83 | 86 | 0 | 35 | 1 | 3,395,490$ | ||
| 6 | Martin Nečas | X | X | X | 100.00 | 33 | 1 | 99 | 88 | 87 | 99 | 93 | 98 | 57 | 99 | 99 | 81 | 57 | 99 | 99 | 0 | 83 | 86 | 1 | 27 | 4 | 2,887,500$ | ||
| 7 | Tyson Jost | X | X | 100.00 | 36 | 1 | 99 | 82 | 83 | 91 | 95 | 99 | 59 | 97 | 93 | 70 | 50 | 99 | 98 | 0 | 83 | 83 | 1 | 28 | 4 | 2,262,500$ | |||
| 8 | Dylan Holloway (R) | X | X | 100.00 | 68 | 28 | 72 | 86 | 89 | 96 | 94 | 88 | 71 | 89 | 79 | 75 | 68 | 91 | 95 | 0 | 83 | 81 | 1 | 25 | 3 | 1,000,000$ | |||
| 9 | Jordan Kyrou | X | X | X | 100.00 | 4 | 7 | 90 | 85 | 79 | 89 | 95 | 98 | 68 | 99 | 96 | 57 | 61 | 99 | 99 | 0 | 83 | 81 | 2 | 28 | 4 | 2,175,000$ | ||
| 10 | Alex Tuch | X | X | 100.00 | 40 | 1 | 99 | 78 | 85 | 93 | 97 | 87 | 49 | 86 | 81 | 58 | 55 | 99 | 99 | 0 | 83 | 78 | 2 | 30 | 2 | 1,334,000$ | |||
| 11 | Tyler Seguin | X | X | 100.00 | 1 | 1 | 99 | 62 | 76 | 81 | 86 | 98 | 80 | 83 | 81 | 77 | 75 | 99 | 99 | 0 | 83 | 76 | 2 | 34 | 2 | 2,292,000$ | |||
| 12 | Ryan Donato | X | X | X | 100.00 | 23 | 1 | 99 | 76 | 76 | 85 | 83 | 82 | 73 | 81 | 80 | 70 | 56 | 99 | 99 | 0 | 83 | 75 | 2 | 30 | 1 | 978,000$ | ||
| 13 | Zach Werenski | X | 100.00 | 51 | 1 | 99 | 96 | 91 | 99 | 95 | 99 | 44 | 99 | 99 | 75 | 56 | 99 | 99 | 0 | 83 | 86 | 1 | 29 | 5 | 3,594,063$ | ||||
| 14 | Keith Yandle | X | 100.00 | 47 | 10 | 99 | 78 | 76 | 99 | 95 | 95 | 50 | 99 | 86 | 99 | 64 | 99 | 99 | 0 | 83 | 84 | 2 | 40 | 2 | 4,575,000$ | ||||
| 15 | Jonathan Blum | X | 100.00 | 27 | 1 | 99 | 95 | 84 | 87 | 80 | 95 | 40 | 99 | 99 | 83 | 62 | 99 | 99 | 0 | 83 | 83 | 0 | 37 | 3 | 3,652,015$ | ||||
| 16 | Jamie Drysdale | X | 100.00 | 58 | 19 | 85 | 94 | 95 | 98 | 97 | 89 | 40 | 79 | 70 | 66 | 55 | 99 | 99 | 0 | 84 | 80 | 1 | 24 | 3 | 800,000$ | ||||
| 17 | Victor Söderström | X | 100.00 | 7 | 1 | 99 | 89 | 97 | 92 | 95 | 93 | 44 | 89 | 73 | 76 | 48 | 99 | 95 | 0 | 84 | 78 | 1 | 25 | 2 | 750,000$ | ||||
| 18 | Shayne Gostisbehere | X | 100.00 | 98 | 75 | 13 | 63 | 84 | 80 | 96 | 82 | 39 | 82 | 60 | 74 | 47 | 99 | 90 | 0 | 83 | 76 | 2 | 32 | 2 | 1,500,000$ | ||||
| Scratches | |||||||||||||||||||||||||||||
| 1 | Nikita Filatov | X | 100.00 | 1 | 1 | 99 | 60 | 77 | 65 | 80 | 93 | 23 | 87 | 86 | 77 | 76 | 99 | 99 | 0 | 70 | 75 | 0 | 36 | 2 | 2,700,000$ | ||||
| TEAM AVERAGE | 100.00 | 38 | 8 | 92 | 83 | 85 | 91 | 92 | 94 | 57 | 92 | 88 | 77 | 63 | 99 | 98 | 0 | 82 | 82 | ||||||||||
| 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 | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Mackenzie Blackwood | 100.00 | 68 | 96 | 92 | 87 | 84 | 92 | 97 | 98 | 92 | 80 | 75 | 99 | 99 | 0 | 84 | 88 | 1 | 29 | 3 | 1,950,000$ | |
| 2 | Scott Wedgewood | 100.00 | 61 | 65 | 70 | 81 | 71 | 82 | 82 | 95 | 81 | 67 | 58 | 99 | 90 | 0 | 85 | 78 | 2 | 34 | 1 | 750,000$ | |
| Scratches | |||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 65 | 81 | 81 | 84 | 78 | 87 | 90 | 97 | 87 | 74 | 67 | 99 | 95 | 0 | 85 | 83 | ||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Todd McLellan | 93 | 90 | 82 | 85 | 99 | 99 | 23 | CAN | 54 | 4 | 1,100,000$ |
| 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 | Filip Forsberg | BANGOR BEAGLES | C/LW/RW | 10 | 8 | 11 | 19 | 15 | 2 | 0 | 21 | 14 | 45 | 12 | 37 | 17.78% | 6 | 194 | 19.49 | 1 | 1 | 2 | 3 | 22 | 0 | 0 | 0 | 0 | 6 | 2 | 1 | 45.07% | 213 | 7 | 4 | 0 | 0 | 1.95 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 1 |
| 2 | Matt Duchene | BANGOR BEAGLES | C/LW/RW | 10 | 7 | 5 | 12 | -10 | 0 | 0 | 5 | 18 | 35 | 11 | 24 | 20.00% | 3 | 196 | 19.63 | 0 | 2 | 2 | 4 | 22 | 0 | 0 | 0 | 0 | 5 | 2 | 0 | 64.73% | 224 | 5 | 0 | 1 | 1 | 1.22 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 3 | Zach Werenski | BANGOR BEAGLES | D | 10 | 0 | 11 | 11 | 6 | 4 | 0 | 11 | 8 | 15 | 7 | 10 | 0% | 10 | 273 | 27.36 | 0 | 0 | 0 | 0 | 22 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0% | 0 | 4 | 9 | 0 | 0 | 0.80 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 4 | Evgeni Malkin | BANGOR BEAGLES | C/LW/RW | 10 | 6 | 5 | 11 | 8 | 4 | 0 | 14 | 14 | 25 | 4 | 23 | 24.00% | 1 | 204 | 20.42 | 1 | 1 | 2 | 3 | 22 | 0 | 0 | 0 | 0 | 14 | 1 | 0 | 41.46% | 41 | 5 | 3 | 0 | 0 | 1.08 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 |
| 5 | Anton Lundell | BANGOR BEAGLES | C/LW/RW | 10 | 4 | 5 | 9 | 4 | 0 | 0 | 16 | 8 | 28 | 11 | 14 | 14.29% | 4 | 175 | 17.58 | 0 | 0 | 0 | 1 | 17 | 0 | 0 | 0 | 0 | 16 | 0 | 2 | 30.00% | 10 | 9 | 1 | 0 | 0 | 1.02 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| 6 | Tyson Jost | BANGOR BEAGLES | C/LW | 10 | 4 | 4 | 8 | -2 | 0 | 0 | 2 | 6 | 21 | 7 | 9 | 19.05% | 1 | 159 | 15.95 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 40.00% | 5 | 3 | 4 | 0 | 0 | 1.00 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 7 | Jordan Kyrou | BANGOR BEAGLES | C/LW/RW | 10 | 3 | 5 | 8 | 7 | 7 | 5 | 0 | 7 | 16 | 7 | 17 | 18.75% | 1 | 139 | 13.99 | 0 | 0 | 0 | 1 | 17 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 40.00% | 15 | 9 | 1 | 0 | 0 | 1.14 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 8 | Martin Nečas | BANGOR BEAGLES | C/LW/RW | 10 | 1 | 7 | 8 | 1 | 2 | 0 | 9 | 8 | 28 | 9 | 22 | 3.57% | 2 | 179 | 17.98 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 14 | 4 | 8 | 0 | 0 | 0.89 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 9 | Alex Ovechkin | BANGOR BEAGLES | LW/RW | 10 | 3 | 5 | 8 | 2 | 2 | 0 | 7 | 4 | 25 | 1 | 28 | 12.00% | 3 | 165 | 16.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35.71% | 14 | 8 | 5 | 0 | 0 | 0.97 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 10 | Dylan Holloway | BANGOR BEAGLES | C/LW | 10 | 2 | 5 | 7 | 6 | 4 | 0 | 21 | 12 | 20 | 5 | 6 | 10.00% | 3 | 128 | 12.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 1 | 50.60% | 83 | 1 | 1 | 0 | 0 | 1.09 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 11 | Alex Tuch | BANGOR BEAGLES | C/RW | 10 | 5 | 2 | 7 | 5 | 2 | 0 | 10 | 4 | 16 | 2 | 3 | 31.25% | 2 | 79 | 7.93 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 1 | 1 | 1 | 0 | 0 | 1.77 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 12 | Jonathan Blum | BANGOR BEAGLES | D | 10 | 1 | 6 | 7 | 8 | 9 | 5 | 10 | 12 | 11 | 7 | 7 | 9.09% | 14 | 226 | 22.64 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 0 | 0 | 12 | 0 | 1 | 0% | 0 | 8 | 7 | 0 | 0 | 0.62 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| 13 | Keith Yandle | BANGOR BEAGLES | D | 10 | 0 | 4 | 4 | 9 | 2 | 0 | 14 | 15 | 15 | 5 | 7 | 0% | 12 | 247 | 24.78 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0% | 0 | 0 | 10 | 0 | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 14 | Tyler Seguin | BANGOR BEAGLES | C/RW | 10 | 1 | 3 | 4 | 3 | 0 | 0 | 0 | 6 | 9 | 5 | 3 | 11.11% | 5 | 73 | 7.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46.43% | 28 | 2 | 0 | 0 | 0 | 1.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 15 | Victor Söderström | BANGOR BEAGLES | D | 10 | 1 | 2 | 3 | 7 | 0 | 0 | 2 | 11 | 7 | 5 | 3 | 14.29% | 9 | 165 | 16.58 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0% | 0 | 1 | 2 | 0 | 0 | 0.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 16 | Ryan Donato | BANGOR BEAGLES | C/LW/RW | 10 | 1 | 2 | 3 | 3 | 0 | 0 | 4 | 2 | 9 | 2 | 9 | 11.11% | 2 | 73 | 7.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 2 | 0 | 0 | 0.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 17 | Jamie Drysdale | BANGOR BEAGLES | D | 10 | 1 | 0 | 1 | -2 | 7 | 5 | 14 | 6 | 10 | 1 | 1 | 10.00% | 4 | 152 | 15.25 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0% | 0 | 1 | 3 | 0 | 0 | 0.13 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| 18 | Shayne Gostisbehere | BANGOR BEAGLES | D | 10 | 0 | 1 | 1 | 0 | 8 | 0 | 21 | 4 | 5 | 2 | 1 | 0% | 6 | 135 | 13.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0% | 0 | 0 | 1 | 0 | 0 | 0.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Team Total or Average | 180 | 48 | 83 | 131 | 70 | 53 | 15 | 181 | 159 | 340 | 103 | 224 | 14.12% | 88 | 2971 | 16.51 | 2 | 4 | 6 | 13 | 205 | 0 | 0 | 0 | 0 | 112 | 7 | 5 | 51.77% | 649 | 68 | 62 | 1 | 1 | 0.88 | 0 | 0 | 1 | 0 | 2 | 6 | 7 | 7 | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Scott Wedgewood | BANGOR BEAGLES | 6 | 4 | 2 | 0 | 0.873 | 3.82 | 314 | 0 | 0 | 20 | 158 | 71 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 0 | 0 |
| 2 | Mackenzie Blackwood | BANGOR BEAGLES | 6 | 3 | 1 | 0 | 0.890 | 3.37 | 285 | 0 | 1 | 16 | 145 | 48 | 0 | 0 | 0 | 0 | 5 | 5 | 1 | 0 | 0 |
| Team Total or Average | 12 | 7 | 3 | 0 | 0.881 | 3.60 | 600 | 0 | 1 | 36 | 303 | 119 | 0 | 0 | 0 | 10 | 10 | 1 | 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 | Country | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | 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 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Ovechkin | BANGOR BEAGLES | LW/RW | 41 | 1985-09-17 | RUS | No | 244 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | 2025-01-13 | False | False | Pro Only | 2,761,300$ | 2,424,988$ | 2,761,300$ | 2,424,988$ | No | 2,761,300$ | 2,761,300$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | NHL Link | |
| Alex Tuch | BANGOR BEAGLES | C/RW | 30 | 1996-05-10 | USA | No | 244 Lbs | 6 ft5 | No | No | Trade | 2025-02-10 | No | No | 2 | False | False | Pro & Farm | 1,334,000$ | 1,171,526$ | 1,334,000$ | 1,171,526$ | No | 1,334,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Anton Lundell | BANGOR BEAGLES | C/LW/RW | 25 | 2001-10-03 | FIN | No | 196 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | 2025-03-04 | False | False | Pro Only | 900,000$ | 790,385$ | 900,000$ | 790,385$ | No | 900,000$ | 900,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Dylan Holloway | BANGOR BEAGLES | C/LW | 25 | 2001-09-23 | CAN | Yes | 221 Lbs | 6 ft2 | No | No | Trade | 2025-07-13 | No | No | 3 | 2026-04-08 | False | False | Pro Only | 1,000,000$ | 878,205$ | 1,000,000$ | 878,205$ | No | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |
| Evgeni Malkin | BANGOR BEAGLES | C/LW/RW | 40 | 1986-07-31 | RUS | No | 211 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | 2025-03-31 | False | False | Pro Only | 3,267,000$ | 2,869,096$ | 3,267,000$ | 2,869,096$ | No | 3,267,000$ | 3,267,000$ | 3,267,000$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | NHL Link | |
| Filip Forsberg | BANGOR BEAGLES | C/LW/RW | 32 | 1994-08-13 | SWE | No | 222 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | 2026-10-08 | False | False | Pro Only | 2,475,350$ | 2,173,865$ | 2,475,350$ | 2,173,865$ | No | 2,475,350$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Jamie Drysdale | BANGOR BEAGLES | D | 24 | 2002-04-08 | CAN | No | 181 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | 2024-06-09 | False | False | Pro Only | 800,000$ | 702,564$ | 800,000$ | 702,564$ | No | 800,000$ | 800,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Jonathan Blum | BANGOR BEAGLES | D | 37 | 1989-01-30 | USA | No | 198 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | 2025-03-31 | False | False | Pro Only | 3,652,015$ | 3,207,218$ | 3,652,015$ | 3,207,218$ | No | 3,652,015$ | 3,652,015$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Jordan Kyrou | BANGOR BEAGLES | C/LW/RW | 28 | 1998-05-05 | CAN | No | 217 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | 2025-03-31 | False | False | Pro Only | 2,175,000$ | 1,910,096$ | 2,175,000$ | 1,910,096$ | No | 2,175,000$ | 2,175,000$ | 2,175,000$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
| Keith Yandle | BANGOR BEAGLES | D | 40 | 1986-09-09 | USA | No | 209 Lbs | 6 ft1 | No | No | Trade | 2024-03-04 | No | No | 2 | 2026-03-14 | False | False | Pro Only | 4,575,000$ | 4,017,788$ | 4,575,000$ | 4,017,788$ | No | 4,575,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |
| Mackenzie Blackwood | BANGOR BEAGLES | G | 29 | 1996-12-09 | CAN | No | 242 Lbs | 6 ft6 | No | No | N/A | No | No | 3 | 2024-03-16 | False | False | Pro Only | 1,950,000$ | 1,712,500$ | 1,950,000$ | 1,712,500$ | No | 1,950,000$ | 1,950,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Martin Nečas | BANGOR BEAGLES | C/LW/RW | 27 | 1999-01-15 | CZE | No | 200 Lbs | 6 ft3 | No | No | Trade | 2026-03-05 | No | No | 4 | 2025-03-22 | False | False | Pro Only | 2,887,500$ | 2,535,817$ | 2,887,500$ | 2,535,817$ | No | 2,887,500$ | 2,887,500$ | 2,887,500$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |
| Matt Duchene | BANGOR BEAGLES | C/LW/RW | 35 | 1991-01-16 | CAN | No | 224 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro Only | 3,395,490$ | 2,981,937$ | 3,395,490$ | 2,981,937$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Nikita Filatov | BANGOR BEAGLES | LW | 36 | 1990-05-25 | RUS | No | 213 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | 2026-03-14 | False | False | Pro & Farm | 2,700,000$ | 2,371,154$ | 2,700,000$ | 2,371,154$ | No | 2,700,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Ryan Donato | BANGOR BEAGLES | C/LW/RW | 30 | 1996-04-09 | USA | No | 206 Lbs | 6 ft1 | No | No | Trade | 2025-02-10 | No | No | 1 | 2024-06-10 | False | False | Pro & Farm | 978,000$ | 858,885$ | 978,000$ | 858,885$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| Scott Wedgewood | BANGOR BEAGLES | G | 34 | 1992-08-14 | CAN | No | 218 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 658,654$ | 750,000$ | 658,654$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Shayne Gostisbehere | BANGOR BEAGLES | D | 32 | 1994-09-12 | USA | No | 244 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,500,000$ | 1,317,308$ | 1,500,000$ | 1,317,308$ | No | 1,500,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | ||
| Tyler Seguin | BANGOR BEAGLES | C/RW | 34 | 1992-01-31 | CAN | No | 207 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro Only | 2,292,000$ | 2,012,846$ | 2,292,000$ | 2,012,846$ | No | 2,292,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Tyson Jost | BANGOR BEAGLES | C/LW | 28 | 1998-03-14 | CAN | No | 207 Lbs | 5 ft11 | No | No | Trade | 2026-03-05 | No | No | 4 | 2025-11-05 | False | False | Pro Only | 2,262,500$ | 1,986,939$ | 2,262,500$ | 1,986,939$ | No | 2,262,500$ | 2,262,500$ | 2,262,500$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |
| Victor Söderström | BANGOR BEAGLES | D | 25 | 2001-02-26 | SWE | No | 194 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 658,654$ | 750,000$ | 658,654$ | No | 750,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Zach Werenski | BANGOR BEAGLES | D | 29 | 1997-06-19 | USA | No | 235 Lbs | 6 ft4 | No | No | N/A | No | No | 5 | 2026-03-14 | False | False | Pro Only | 3,594,063$ | 3,156,325$ | 3,594,063$ | 3,156,325$ | No | 3,594,063$ | 3,594,063$ | 3,594,063$ | 3,594,063$ | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 21 | 31.48 | 216 Lbs | 6 ft2 | 2.67 | 2,190,439$ |
| Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
|---|---|---|---|---|
| 45,999,218$ | 40,875,728$ | 25,249,378$ | 14,186,063$ | 3,594,063$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Evgeni Malkin | Filip Forsberg | Alex Ovechkin | 35 | 1 | 2 | 2 |
| 2 | Martin Nečas | Matt Duchene | Anton Lundell | 35 | 1 | 2 | 2 |
| 3 | Tyson Jost | Dylan Holloway | Jordan Kyrou | 25 | 1 | 2 | 2 |
| 4 | Ryan Donato | Tyler Seguin | Alex Tuch | 5 | 1 | 3 | 1 |
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Zach Werenski | Keith Yandle | 40 | 1 | 2 | 2 | |
| 2 | Jonathan Blum | Victor Söderström | 30 | 1 | 2 | 2 | |
| 3 | Jamie Drysdale | Shayne Gostisbehere | 20 | 1 | 2 | 2 | |
| 4 | Jonathan Blum | Zach Werenski | 10 | 1 | 2 | 2 | |
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Filip Forsberg | Matt Duchene | Evgeni Malkin | 60 | 1 | 1 | 3 |
| 2 | Jordan Kyrou | Anton Lundell | Martin Nečas | 40 | 1 | 1 | 3 |
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Zach Werenski | Jonathan Blum | 60 | 0 | 1 | 4 | |
| 2 | Keith Yandle | Jamie Drysdale | 40 | 0 | 1 | 4 | |
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Evgeni Malkin | Anton Lundell | 60 | 1 | 2 | 2 |
| 2 | Matt Duchene | Filip Forsberg | 40 | 1 | 2 | 2 |
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Jonathan Blum | Keith Yandle | 60 | 1 | 2 | 2 |
| 2 | Zach Werenski | Victor Söderström | 40 | 1 | 2 | 2 |
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Evgeni Malkin | 60 | 1 | 2 | 2 | Zach Werenski | Jonathan Blum | 60 | 1 | 2 | 2 |
| 2 | Anton Lundell | 40 | 1 | 2 | 2 | Keith Yandle | Jamie Drysdale | 40 | 1 | 2 | 2 |
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Jordan Kyrou | Martin Nečas | 60 | 1 | 2 | 2 |
| 2 | Anton Lundell | Tyson Jost | 40 | 1 | 2 | 2 |
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Zach Werenski | Shayne Gostisbehere | 60 | 1 | 2 | 2 |
| 2 | Jonathan Blum | Keith Yandle | 40 | 1 | 2 | 2 |
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Filip Forsberg | Matt Duchene | Martin Nečas | Zach Werenski | Jonathan Blum |
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Anton Lundell | Evgeni Malkin | Alex Ovechkin | Jamie Drysdale | Keith Yandle |
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Matt Duchene, Tyson Jost, Alex Ovechkin | Tyson Jost, Jordan Kyrou | Dylan Holloway |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Jonathan Blum, Jamie Drysdale, Victor Söderström | Victor Söderström | Shayne Gostisbehere, Jamie Drysdale |
| Penalty Shots |
|---|
| Alex Ovechkin, Evgeni Malkin, Matt Duchene, Anton Lundell, Tyler Seguin |
| Goalie |
|---|
| #1 : Mackenzie Blackwood, #2 : Scott Wedgewood |
| Custom OT Lines Forwards |
|---|
| Matt Duchene, Filip Forsberg, Evgeni Malkin, Alex Ovechkin, Tyson Jost, Martin Nečas, Jordan Kyrou, Alex Tuch, Anton Lundell, Tyler Seguin |
| Custom OT Lines Defensemen |
|---|
| Zach Werenski, Jonathan Blum, Keith Yandle, Victor Söderström, Shayne Gostisbehere |
| 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 | RI |
| 1 | CHICAGO CRUSHERS | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 3 | 1 | 0 | 0 | 34 | 9 | 17 | 8 | 0 | 32 | 9 | 6 | 17 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 128 | 244 | 52.46% | 111 | 227 | 48.90% | 97 | 178 | 54.49% | 19 | 12 | 25 | 8 | 15 | 7 | |
| 2 | COLORADO WOLVES | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 1 | 6 | 2 | 0 | 69 | 18 | 34 | 17 | 0 | 60 | 19 | 10 | 32 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 128 | 244 | 52.46% | 111 | 227 | 48.90% | 97 | 178 | 54.49% | 47 | 31 | 41 | 15 | 31 | 16 | |
| 3 | DETROIT RED WINGS | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 0 | 42 | 8 | 19 | 15 | 0 | 26 | 8 | 21 | 18 | 0 | 0 | 0% | 3 | 0 | 100.00% | 0 | 128 | 244 | 52.46% | 111 | 227 | 48.90% | 97 | 178 | 54.49% | 24 | 16 | 20 | 7 | 15 | 8 | |
| 4 | LAS CRUCES SPURS | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 4 | 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 11 | 19 | 30 | 0 | 1 | 7 | 2 | 2 | 0 | 71 | 22 | 26 | 23 | 0 | 60 | 16 | 4 | 37 | 7 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 128 | 244 | 52.46% | 111 | 227 | 48.90% | 97 | 178 | 54.49% | 45 | 28 | 42 | 16 | 32 | 16 | |
| 5 | PENSACOLA BADGERS | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 36 | 15 | 11 | 10 | 0 | 33 | 7 | 0 | 23 | 4 | 0 | 0.00% | 0 | 0 | 0% | 0 | 128 | 244 | 52.46% | 111 | 227 | 48.90% | 97 | 178 | 54.49% | 22 | 14 | 20 | 8 | 16 | 8 | |
| 6 | PHILADELPHIA MADMEN | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 12 | 19 | 31 | 0 | 0 | 4 | 2 | 6 | 0 | 56 | 20 | 9 | 27 | 0 | 60 | 16 | 10 | 40 | 4 | 2 | 50.00% | 5 | 2 | 60.00% | 0 | 128 | 244 | 52.46% | 111 | 227 | 48.90% | 97 | 178 | 54.49% | 45 | 28 | 41 | 16 | 33 | 17 | |
| 7 | PINCHER CREEK PREDATORS | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 32 | 13 | 9 | 10 | 0 | 32 | 13 | 2 | 14 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 128 | 244 | 52.46% | 111 | 227 | 48.90% | 97 | 178 | 54.49% | 25 | 16 | 18 | 7 | 16 | 8 | |
| Total | 10 | 7 | 3 | 0 | 0 | 0 | 0 | 0 | 48 | 36 | 12 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 22 | 18 | 4 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 26 | 18 | 8 | 14 | 0.700 | 48 | 83 | 131 | 0 | 1 | 18 | 16 | 14 | 0 | 340 | 105 | 125 | 110 | 0 | 303 | 88 | 53 | 181 | 23 | 2 | 8.70% | 19 | 4 | 78.95% | 0 | 128 | 244 | 52.46% | 111 | 227 | 48.90% | 97 | 178 | 54.49% | 229 | 148 | 209 | 78 | 161 | 83 | ||
| _Since Last GM Reset | 10 | 7 | 3 | 0 | 0 | 0 | 0 | 0 | 48 | 36 | 12 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 22 | 18 | 4 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 26 | 18 | 8 | 14 | 0.700 | 48 | 83 | 131 | 0 | 1 | 18 | 16 | 14 | 0 | 340 | 105 | 125 | 110 | 0 | 303 | 88 | 53 | 181 | 23 | 2 | 8.70% | 19 | 4 | 78.95% | 0 | 128 | 244 | 52.46% | 111 | 227 | 48.90% | 97 | 178 | 54.49% | 229 | 148 | 209 | 78 | 161 | 83 | ||
| _Vs Conference | 7 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 36 | 23 | 13 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 19 | 13 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 10 | 7 | 12 | 0.857 | 36 | 62 | 98 | 0 | 1 | 16 | 8 | 12 | 0 | 239 | 74 | 82 | 83 | 0 | 211 | 56 | 41 | 135 | 16 | 2 | 12.50% | 13 | 3 | 76.92% | 0 | 128 | 244 | 52.46% | 111 | 227 | 48.90% | 97 | 178 | 54.49% | 157 | 100 | 149 | 56 | 113 | 58 | ||
| _Vs Division | 7 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 36 | 23 | 13 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 19 | 13 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 10 | 7 | 12 | 0.857 | 36 | 62 | 98 | 0 | 1 | 16 | 8 | 12 | 0 | 239 | 74 | 82 | 83 | 0 | 211 | 56 | 41 | 135 | 16 | 2 | 12.50% | 13 | 3 | 76.92% | 0 | 128 | 244 | 52.46% | 111 | 227 | 48.90% | 97 | 178 | 54.49% | 157 | 100 | 149 | 56 | 113 | 58 | ||
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 10 | 14 | W3 | 48 | 83 | 131 | 340 | 303 | 88 | 53 | 181 | 0 | 1 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 10 | 7 | 3 | 0 | 0 | 0 | 0 | 48 | 36 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 5 | 3 | 2 | 0 | 0 | 0 | 0 | 22 | 18 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 5 | 4 | 1 | 0 | 0 | 0 | 0 | 26 | 18 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 7 | 3 | 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 |
|---|---|---|---|---|---|---|
| 23 | 2 | 8.70% | 19 | 4 | 78.95% | 0 |
| Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
|---|---|---|---|---|---|---|---|
| 105 | 125 | 110 | 0 | 18 | 16 | 14 | 0 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 128 | 244 | 52.46% | 111 | 227 | 48.90% | 97 | 178 | 54.49% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 229 | 148 | 209 | 78 | 161 | 83 |
| 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 |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
| Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
| Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 100 | 60 | 35 | 25 | 200 |
| Attendance | 29,549 | 25,000 | 10,000 | 20,000 | 5,000 |
| Attendance PCT | 98.50% | 100.00% | 100.00% | 100.00% | 100.00% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 37 | 17910 - 99.50% | 1,260,980$ | 6,304,900$ | 18000 | 100 |
| Expenses | ||||
|---|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
| 5,735,770$ | 45,999,218$ | 45,999,218$ | 1,100,000$0$ | 0$ |
| Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|---|
| 45,999,218$ | 5,601,801$ | 111,839$ | 21 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 46,656,260$ | 137 | 301,918$ | 41,362,766$ |
| Team Total Estimate | ||
|---|---|---|
| Estimated Season Expenses | Current Bank Account | Projected Bank Account |
| 44,973,126$ | 425,700,454$ | 430,117,878$ |
| Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
|---|---|---|---|
| 48,961,268$ | 11,038,732$ | 60,000,000$ | 28,961,268$ |
| Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Last Trade Date | Link |
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| Year | R1 | R2 | R3 | R4 | R5 |
|---|---|---|---|---|---|
| 16 | | | | | |
| 17 | | | | | |
| 18 | | | | | |
| 19 | | | | | |
| Conditional Draft Picks | |||||
| # | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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| 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 |
| # | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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