![]() | BANGOR BEAGLES |
| GP: 7 | W: 3 | L: 4 GF: 28 | GA: 28 | PP%: 13.33% | PK%: 80.00% DG: Clint T | Morale : 99 | Moyenne d’équipe : 82 |
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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 |
| # | Nom du joueur | 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 | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Filip Forsberg (A) | X | X | X | 100.00 | 59 | 2 | 99 | 94 | 91 | 97 | 95 | 99 | 77 | 99 | 99 | 81 | 68 | 99 | 99 | 0 | 72 | 89 | 2 | 31 | 3 | 2,460,350$ | ||
| 2 | Evgeni Malkin (A) | X | X | X | 100.00 | 63 | 1 | 99 | 79 | 82 | 98 | 96 | 99 | 75 | 99 | 99 | 98 | 80 | 99 | 99 | 0 | 72 | 89 | 2 | 39 | 5 | 3,267,000$ | ||
| 3 | Martin Nečas | X | X | X | 100.00 | 34 | 1 | 99 | 93 | 92 | 96 | 93 | 97 | 57 | 99 | 99 | 82 | 57 | 99 | 99 | 0 | 74 | 87 | 1 | 27 | 5 | 2,887,500$ | ||
| 4 | Alex Ovechkin | X | X | 100.00 | 52 | 10 | 99 | 89 | 89 | 89 | 89 | 99 | 31 | 98 | 95 | 91 | 88 | 99 | 95 | 0 | 72 | 87 | 2 | 40 | 4 | 2,761,300$ | |||
| 5 | Matt Duchene (C) | X | X | X | 100.00 | 5 | 1 | 99 | 85 | 77 | 99 | 96 | 99 | 94 | 99 | 99 | 82 | 75 | 99 | 99 | 0 | 72 | 86 | 0 | 35 | 2 | 3,395,490$ | ||
| 6 | Tyson Jost | X | X | 100.00 | 37 | 1 | 99 | 87 | 88 | 93 | 95 | 99 | 59 | 96 | 92 | 72 | 50 | 99 | 95 | 0 | 73 | 84 | 1 | 28 | 5 | 2,262,500$ | |||
| 7 | Anton Lundell (R) | X | X | X | 100.00 | 44 | 6 | 94 | 90 | 93 | 99 | 94 | 89 | 65 | 90 | 87 | 81 | 60 | 99 | 88 | 0 | 72 | 83 | 1 | 24 | 4 | 900,000$ | ||
| 8 | Jordan Kyrou | X | X | X | 100.00 | 8 | 11 | 86 | 90 | 84 | 90 | 95 | 96 | 67 | 99 | 94 | 56 | 61 | 98 | 99 | 0 | 72 | 82 | 2 | 27 | 5 | 2,175,000$ | ||
| 9 | Alex Tuch | X | X | 100.00 | 45 | 1 | 99 | 83 | 83 | 94 | 97 | 88 | 51 | 87 | 82 | 57 | 55 | 99 | 99 | 0 | 72 | 78 | 2 | 29 | 3 | 1,334,000$ | |||
| 10 | Tyler Seguin | X | X | 100.00 | 1 | 1 | 99 | 63 | 75 | 88 | 86 | 99 | 79 | 84 | 81 | 74 | 75 | 99 | 99 | 0 | 72 | 77 | 2 | 34 | 3 | 2,292,000$ | |||
| 11 | Ryan Donato | X | X | X | 100.00 | 28 | 1 | 99 | 81 | 76 | 88 | 83 | 83 | 74 | 82 | 81 | 67 | 56 | 99 | 99 | 0 | 72 | 76 | 2 | 30 | 2 | 978,000$ | ||
| 12 | Nikita Filatov | X | 100.00 | 2 | 1 | 99 | 61 | 76 | 72 | 80 | 93 | 23 | 87 | 92 | 76 | 76 | 99 | 99 | 0 | 21 | 75 | 0 | 35 | 3 | 2,700,000$ | ||||
| 13 | Zach Werenski | X | 100.00 | 47 | 1 | 99 | 94 | 96 | 99 | 95 | 99 | 44 | 99 | 99 | 74 | 56 | 99 | 99 | 0 | 72 | 86 | 1 | 28 | 6 | 3,594,063$ | ||||
| 14 | Keith Yandle | X | 100.00 | 51 | 14 | 99 | 73 | 77 | 98 | 95 | 99 | 50 | 99 | 85 | 98 | 64 | 99 | 99 | 0 | 72 | 84 | 2 | 39 | 3 | 4,575,000$ | ||||
| 15 | Jonathan Blum | X | 100.00 | 30 | 1 | 99 | 93 | 89 | 86 | 80 | 94 | 40 | 99 | 99 | 82 | 62 | 99 | 95 | 0 | 72 | 83 | 0 | 37 | 4 | 3,652,015$ | ||||
| 16 | P.K. Subban | X | 100.00 | 94 | 49 | 78 | 56 | 78 | 99 | 84 | 91 | 50 | 91 | 76 | 88 | 60 | 99 | 99 | 0 | 72 | 81 | 0 | 36 | 2 | 2,500,000$ | ||||
| 17 | Jamie Drysdale (R) | X | 100.00 | 56 | 15 | 88 | 91 | 91 | 98 | 97 | 87 | 40 | 75 | 67 | 63 | 55 | 98 | 89 | 0 | 72 | 77 | 1 | 24 | 4 | 800,000$ | ||||
| 18 | Shayne Gostisbehere | X | 100.00 | 93 | 70 | 18 | 68 | 84 | 77 | 96 | 82 | 39 | 84 | 60 | 74 | 47 | 96 | 87 | 0 | 74 | 76 | 2 | 31 | 3 | 1,500,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | Vladislav Namestnikov | X | X | 100.00 | 74 | 57 | 53 | 66 | 73 | 78 | 90 | 80 | 58 | 80 | 74 | 71 | 59 | 95 | 99 | 0 | 20 | 73 | 2 | 33 | 1 | 1,200,000$ | |||
| MOYENNE D’ÉQUIPE | 100.00 | 43 | 13 | 90 | 81 | 84 | 91 | 91 | 93 | 56 | 92 | 87 | 77 | 63 | 99 | 97 | 0 | 67 | 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 |
| # | Nom du gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Mackenzie Blackwood | 100.00 | 73 | 96 | 97 | 87 | 86 | 94 | 94 | 95 | 89 | 80 | 75 | 99 | 97 | 0 | 78 | 88 | 1 | 29 | 4 | 1,950,000$ | |
| 2 | Leland Irving | 100.00 | 67 | 94 | 89 | 75 | 77 | 99 | 99 | 98 | 99 | 82 | 78 | 99 | 99 | 0 | 78 | 88 | 1 | 37 | 2 | 3,872,814$ | |
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 70 | 95 | 93 | 81 | 82 | 97 | 97 | 97 | 94 | 81 | 77 | 99 | 98 | 0 | 78 | 88 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Todd McLellan | 94 | 92 | 86 | 83 | 99 | 99 | 25 | CAN | 53 | 5 | 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 |
| # | Nom du joueur | Nom de l’équipe | 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 | Matt Duchene | BANGOR BEAGLES | C/LW/RW | 7 | 3 | 8 | 11 | 0 | 4 | 0 | 2 | 14 | 22 | 5 | 23 | 13.64% | 1 | 140 | 20.11 | 1 | 0 | 1 | 3 | 16 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 65.10% | 192 | 2 | 1 | 0 | 0 | 1.56 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 2 | Evgeni Malkin | BANGOR BEAGLES | C/LW/RW | 7 | 4 | 4 | 8 | 3 | 4 | 0 | 17 | 14 | 15 | 10 | 7 | 26.67% | 3 | 143 | 20.53 | 0 | 1 | 1 | 2 | 12 | 0 | 0 | 0 | 1 | 12 | 0 | 0 | 41.38% | 29 | 4 | 2 | 0 | 0 | 1.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 3 | Anton Lundell | BANGOR BEAGLES | C/LW/RW | 7 | 2 | 5 | 7 | 3 | 0 | 0 | 4 | 2 | 12 | 5 | 4 | 16.67% | 3 | 100 | 14.42 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0% | 1 | 7 | 1 | 0 | 0 | 1.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 4 | Filip Forsberg | BANGOR BEAGLES | C/LW/RW | 7 | 1 | 6 | 7 | -1 | 0 | 0 | 12 | 11 | 26 | 5 | 16 | 3.85% | 2 | 137 | 19.66 | 0 | 1 | 1 | 2 | 12 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 50.00% | 128 | 5 | 1 | 0 | 0 | 1.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 5 | Jordan Kyrou | BANGOR BEAGLES | C/LW/RW | 7 | 4 | 3 | 7 | 3 | 0 | 0 | 1 | 6 | 21 | 2 | 7 | 19.05% | 0 | 85 | 12.16 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 47.92% | 48 | 2 | 0 | 0 | 0 | 1.65 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 |
| 6 | Martin Nečas | BANGOR BEAGLES | C/LW/RW | 7 | 3 | 4 | 7 | -3 | 2 | 0 | 2 | 6 | 24 | 4 | 13 | 12.50% | 9 | 131 | 18.83 | 0 | 1 | 1 | 2 | 15 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 53.85% | 13 | 6 | 3 | 0 | 0 | 1.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 7 | Alex Ovechkin | BANGOR BEAGLES | LW/RW | 7 | 4 | 3 | 7 | 0 | 0 | 0 | 11 | 4 | 25 | 11 | 12 | 16.00% | 4 | 135 | 19.29 | 1 | 0 | 1 | 4 | 13 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 31.25% | 16 | 8 | 0 | 0 | 0 | 1.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 8 | Tyson Jost | BANGOR BEAGLES | C/LW | 7 | 2 | 3 | 5 | -2 | 0 | 0 | 3 | 10 | 20 | 4 | 6 | 10.00% | 6 | 130 | 18.68 | 0 | 0 | 0 | 1 | 9 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 88.89% | 9 | 4 | 2 | 0 | 0 | 0.76 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 9 | Jonathan Blum | BANGOR BEAGLES | D | 7 | 0 | 4 | 4 | 1 | 0 | 0 | 4 | 11 | 13 | 4 | 5 | 0% | 10 | 166 | 23.79 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0% | 0 | 8 | 4 | 0 | 0 | 0.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10 | Keith Yandle | BANGOR BEAGLES | D | 7 | 1 | 2 | 3 | 1 | 2 | 0 | 7 | 6 | 10 | 7 | 1 | 10.00% | 12 | 173 | 24.84 | 0 | 0 | 0 | 1 | 16 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0% | 0 | 3 | 6 | 0 | 0 | 0.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 11 | Zach Werenski | BANGOR BEAGLES | D | 7 | 0 | 3 | 3 | 1 | 0 | 0 | 13 | 15 | 15 | 5 | 4 | 0% | 6 | 179 | 25.59 | 0 | 0 | 0 | 1 | 17 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0% | 0 | 4 | 4 | 0 | 0 | 0.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 12 | Alex Tuch | BANGOR BEAGLES | C/RW | 7 | 1 | 1 | 2 | 3 | 0 | 0 | 6 | 6 | 9 | 0 | 5 | 11.11% | 0 | 82 | 11.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 2 | 0 | 0 | 0.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 13 | Tyler Seguin | BANGOR BEAGLES | C/RW | 7 | 0 | 2 | 2 | -1 | 0 | 0 | 0 | 4 | 6 | 1 | 9 | 0% | 3 | 47 | 6.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35.29% | 17 | 0 | 2 | 0 | 0 | 0.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 14 | Shayne Gostisbehere | BANGOR BEAGLES | D | 7 | 1 | 1 | 2 | -2 | 8 | 0 | 23 | 3 | 5 | 1 | 2 | 20.00% | 6 | 106 | 15.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0% | 0 | 0 | 3 | 0 | 0 | 0.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 15 | Ryan Donato | BANGOR BEAGLES | C/LW/RW | 7 | 2 | 0 | 2 | -1 | 0 | 0 | 1 | 3 | 4 | 0 | 4 | 50.00% | 0 | 47 | 6.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0% | 0 | 0 | 1 | 0 | 0 | 0.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 16 | Jamie Drysdale | BANGOR BEAGLES | D | 7 | 0 | 1 | 1 | 3 | 4 | 0 | 7 | 7 | 2 | 3 | 1 | 0% | 5 | 117 | 16.72 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 17 | P.K. Subban | BANGOR BEAGLES | D | 7 | 0 | 1 | 1 | -2 | 6 | 0 | 13 | 5 | 5 | 2 | 0 | 0% | 5 | 104 | 14.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0% | 0 | 2 | 5 | 0 | 0 | 0.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 18 | Nikita Filatov | BANGOR BEAGLES | LW | 7 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 4 | 5 | 0 | 4 | 0% | 0 | 54 | 7.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0% | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Statistiques d’équipe totales ou en moyenne | 126 | 28 | 51 | 79 | 5 | 30 | 0 | 126 | 131 | 239 | 69 | 123 | 11.72% | 75 | 2085 | 16.56 | 2 | 3 | 5 | 16 | 136 | 0 | 0 | 0 | 1 | 99 | 3 | 2 | 54.92% | 457 | 55 | 37 | 0 | 0 | 0.76 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 3 | |||
| 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 |
| # | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Leland Irving | BANGOR BEAGLES | 4 | 2 | 1 | 0 | 0.872 | 4.29 | 210 | 0 | 0 | 15 | 117 | 43 | 0 | 1 | 0 | 0 | 3 | 4 | 0 | 0 | 0 |
| 2 | Mackenzie Blackwood | BANGOR BEAGLES | 4 | 1 | 2 | 1 | 0.894 | 3.41 | 211 | 0 | 0 | 12 | 113 | 46 | 0 | 0 | 0 | 0 | 4 | 3 | 0 | 0 | 0 |
| Statistiques d’équipe totales ou en moyenne | 8 | 3 | 3 | 1 | 0.883 | 3.85 | 421 | 0 | 0 | 27 | 230 | 89 | 0 | 1 | 0 | 7 | 7 | 0 | 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 |
| Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Pays | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Salaire restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire année 2 | Salaire année 3 | Salaire année 4 | Salaire année 5 | Salaire année 6 | Salaire année 7 | Salaire année 8 | Salaire année 9 | Salaire année 10 | Plafond salarial année 2 | Plafond salarial année 3 | Plafond salarial année 4 | Plafond salarial année 5 | Plafond salarial année 6 | Plafond salarial année 7 | Plafond salarial année 8 | Plafond salarial année 9 | Plafond salarial année 10 | Non-échange année 2 | Non-échange année 3 | Non-échange année 4 | Non-échange année 5 | Non-échange année 6 | Non-échange année 7 | Non-échange année 8 | Non-échange année 9 | Non-échange année 10 | Lien |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Ovechkin | BANGOR BEAGLES | LW/RW | 40 | 1985-09-17 | RUS | No | 244 Lbs | 6 ft2 | No | No | N/A | No | No | 4 | 2025-01-13 | False | False | Pro Only | 2,761,300$ | 920,433$ | 2,761,300$ | 920,433$ | No | 2,761,300$ | 2,761,300$ | 2,761,300$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL | |
| Alex Tuch | BANGOR BEAGLES | C/RW | 29 | 1996-05-10 | USA | No | 242 Lbs | 6 ft5 | No | No | Trade | 2025-02-10 | No | No | 3 | False | False | Pro & Farm | 1,334,000$ | 444,667$ | 1,334,000$ | 444,667$ | No | 1,334,000$ | 1,334,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Anton Lundell | BANGOR BEAGLES | C/LW/RW | 24 | 2001-10-03 | FIN | Yes | 194 Lbs | 6 ft2 | No | No | N/A | No | No | 4 | 2025-03-04 | False | False | Pro Only | 900,000$ | 300,000$ | 900,000$ | 300,000$ | No | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
| Evgeni Malkin | BANGOR BEAGLES | C/LW/RW | 39 | 1986-07-31 | RUS | No | 211 Lbs | 6 ft3 | No | No | N/A | No | No | 5 | 2025-03-31 | False | False | Pro Only | 3,267,000$ | 1,089,000$ | 3,267,000$ | 1,089,000$ | No | 3,267,000$ | 3,267,000$ | 3,267,000$ | 3,267,000$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL | |
| Filip Forsberg | BANGOR BEAGLES | C/LW/RW | 31 | 1994-08-13 | SWE | No | 222 Lbs | 6 ft4 | No | No | N/A | No | No | 3 | 2025-11-03 | False | False | Pro Only | 2,460,350$ | 820,117$ | 2,460,350$ | 820,117$ | No | 2,460,350$ | 2,460,350$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Jamie Drysdale | BANGOR BEAGLES | D | 24 | 2002-04-08 | CAN | Yes | 180 Lbs | 6 ft0 | No | No | N/A | No | No | 4 | 2024-06-09 | False | False | Pro & Farm | 800,000$ | 266,667$ | 800,000$ | 266,667$ | No | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
| Jonathan Blum | BANGOR BEAGLES | D | 37 | 1989-01-30 | USA | No | 198 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | 2025-03-31 | False | False | Pro Only | 3,652,015$ | 1,217,338$ | 3,652,015$ | 1,217,338$ | No | 3,652,015$ | 3,652,015$ | 3,652,015$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
| Jordan Kyrou | BANGOR BEAGLES | C/LW/RW | 27 | 1998-05-05 | CAN | No | 216 Lbs | 6 ft1 | No | No | N/A | No | No | 5 | 2025-03-31 | False | False | Pro Only | 2,175,000$ | 725,000$ | 2,175,000$ | 725,000$ | No | 2,175,000$ | 2,175,000$ | 2,175,000$ | 2,175,000$ | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
| Keith Yandle | BANGOR BEAGLES | D | 39 | 1986-09-09 | USA | No | 209 Lbs | 6 ft1 | No | No | Trade | 2024-03-04 | No | No | 3 | 2026-03-14 | False | False | Pro Only | 4,575,000$ | 1,525,000$ | 4,575,000$ | 1,525,000$ | No | 4,575,000$ | 4,575,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |
| Leland Irving | BANGOR BEAGLES | G | 37 | 1988-12-11 | CAN | No | 193 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | 2025-03-31 | False | False | Pro Only | 3,872,814$ | 1,290,938$ | 3,872,814$ | 1,290,938$ | No | 3,872,814$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Mackenzie Blackwood | BANGOR BEAGLES | G | 29 | 1996-12-09 | CAN | No | 239 Lbs | 6 ft6 | No | No | N/A | No | No | 4 | 2024-03-16 | False | False | Pro Only | 1,950,000$ | 650,000$ | 1,950,000$ | 650,000$ | No | 1,950,000$ | 1,950,000$ | 1,950,000$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
| Martin Nečas | BANGOR BEAGLES | C/LW/RW | 27 | 1999-01-15 | CZE | No | 198 Lbs | 6 ft3 | No | No | Trade | 2026-03-05 | No | No | 5 | 2025-03-22 | False | False | Pro Only | 2,887,500$ | 962,500$ | 2,887,500$ | 962,500$ | No | 2,887,500$ | 2,887,500$ | 2,887,500$ | 2,887,500$ | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | No | 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 | 2 | False | False | Pro Only | 3,395,490$ | 1,131,830$ | 3,395,490$ | 1,131,830$ | No | 3,395,490$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Nikita Filatov | BANGOR BEAGLES | LW | 35 | 1990-05-25 | RUS | No | 213 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | 2026-03-14 | False | False | Pro & Farm | 2,700,000$ | 900,000$ | 2,700,000$ | 900,000$ | No | 2,700,000$ | 2,700,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| P.K. Subban | BANGOR BEAGLES | D | 36 | 1989-05-13 | CAN | No | 224 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | 2025-06-13 | False | False | Pro Only | 2,500,000$ | 833,333$ | 2,500,000$ | 833,333$ | No | 2,500,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Ryan Donato | BANGOR BEAGLES | C/LW/RW | 30 | 1996-04-09 | USA | No | 205 Lbs | 6 ft1 | No | No | Trade | 2025-02-10 | No | No | 2 | 2024-06-10 | False | False | Pro & Farm | 978,000$ | 326,000$ | 978,000$ | 326,000$ | No | 978,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |
| Shayne Gostisbehere | BANGOR BEAGLES | D | 31 | 1994-09-12 | USA | No | 244 Lbs | 6 ft4 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,500,000$ | 500,000$ | 1,500,000$ | 500,000$ | No | 1,500,000$ | 1,500,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | ||
| Tyler Seguin | BANGOR BEAGLES | C/RW | 34 | 1992-01-31 | CAN | No | 206 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | False | False | Pro Only | 2,292,000$ | 764,000$ | 2,292,000$ | 764,000$ | No | 2,292,000$ | 2,292,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | 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 | 5 | 2025-11-05 | False | False | Pro Only | 2,262,500$ | 754,167$ | 2,262,500$ | 754,167$ | No | 2,262,500$ | 2,262,500$ | 2,262,500$ | 2,262,500$ | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | |
| Vladislav Namestnikov | BANGOR BEAGLES | C/LW | 33 | 1992-11-22 | RUS | No | 195 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | 2025-07-01 | False | False | Pro Only | 1,200,000$ | 400,000$ | 1,200,000$ | 400,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Zach Werenski | BANGOR BEAGLES | D | 28 | 1997-06-19 | USA | No | 233 Lbs | 6 ft4 | No | No | N/A | No | No | 6 | 2026-03-14 | False | False | Pro Only | 3,594,063$ | 1,198,021$ | 3,594,063$ | 1,198,021$ | No | 3,594,063$ | 3,594,063$ | 3,594,063$ | 3,594,063$ | 3,594,063$ | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | No | No | No | No | No | - | - | - | - |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 21 | 32.05 | 214 Lbs | 6 ft2 | 3.48 | 2,431,287$ |
| Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
|---|---|---|---|---|
| 51,057,032$ | 49,857,032$ | 39,110,728$ | 24,249,378$ | 14,186,063$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Evgeni Malkin | Matt Duchene | Alex Ovechkin | 35 | 1 | 2 | 2 |
| 2 | Tyson Jost | Filip Forsberg | Martin Nečas | 35 | 1 | 2 | 2 |
| 3 | Anton Lundell | Jordan Kyrou | Alex Tuch | 25 | 1 | 2 | 2 |
| 4 | Nikita Filatov | Tyler Seguin | Ryan Donato | 5 | 1 | 3 | 1 |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Zach Werenski | Keith Yandle | 40 | 1 | 2 | 2 | |
| 2 | Jonathan Blum | Shayne Gostisbehere | 30 | 1 | 2 | 2 | |
| 3 | Jamie Drysdale | P.K. Subban | 20 | 1 | 2 | 2 | |
| 4 | Jonathan Blum | P.K. Subban | 10 | 1 | 2 | 2 | |
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | 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 |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Zach Werenski | Jonathan Blum | 60 | 0 | 1 | 4 | |
| 2 | Keith Yandle | Jamie Drysdale | 40 | 0 | 1 | 4 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Evgeni Malkin | Anton Lundell | 60 | 1 | 2 | 2 |
| 2 | Matt Duchene | Filip Forsberg | 40 | 1 | 2 | 2 |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Zach Werenski | Keith Yandle | 60 | 1 | 2 | 2 |
| 2 | Jonathan Blum | P.K. Subban | 40 | 1 | 2 | 2 |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | 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 | P.K. Subban | 40 | 1 | 2 | 2 |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Jordan Kyrou | Martin Nečas | 60 | 1 | 2 | 2 |
| 2 | Anton Lundell | Tyson Jost | 40 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Zach Werenski | P.K. Subban | 60 | 1 | 2 | 2 |
| 2 | Jonathan Blum | Keith Yandle | 40 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Filip Forsberg | Matt Duchene | Martin Nečas | Zach Werenski | Jonathan Blum |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Evgeni Malkin | Matt Duchene | Alex Ovechkin | P.K. Subban | Keith Yandle |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Filip Forsberg, Jordan Kyrou, Alex Tuch | Anton Lundell, Jordan Kyrou | Alex Ovechkin |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Keith Yandle, Jamie Drysdale, P.K. Subban | Shayne Gostisbehere | Jamie Drysdale, Shayne Gostisbehere |
| Tirs de pénalité |
|---|
| Alex Ovechkin, Evgeni Malkin, Matt Duchene, Nikita Filatov, Tyler Seguin |
| Gardien |
|---|
| #1 : Leland Irving, #2 : Mackenzie Blackwood |
| Lignes d’attaque personnalisées en prolongation |
|---|
| Matt Duchene, Filip Forsberg, Evgeni Malkin, Alex Ovechkin, Tyson Jost, Martin Nečas, Jordan Kyrou, Alex Tuch, Anton Lundell, Tyler Seguin |
| Lignes de défense personnalisées en prolongation |
|---|
| Zach Werenski, Jonathan Blum, Keith Yandle, P.K. Subban, Jamie Drysdale |
| 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 | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Équipe | 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 | COQUITLAM KNIGHTS | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 28 | 28 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 13 | 2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 15 | -2 | 6 | 0.429 | 28 | 51 | 79 | 1 | 0 | 10 | 8 | 10 | 0 | 239 | 78 | 77 | 82 | 2 | 231 | 75 | 30 | 126 | 15 | 2 | 13.33% | 15 | 3 | 80.00% | 0 | 96 | 165 | 58.18% | 91 | 164 | 55.49% | 64 | 128 | 50.00% | 156 | 100 | 150 | 57 | 115 | 57 |
| Total | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 28 | 28 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 13 | 2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 15 | -2 | 6 | 0.429 | 28 | 51 | 79 | 1 | 0 | 10 | 8 | 10 | 0 | 239 | 78 | 77 | 82 | 2 | 231 | 75 | 30 | 126 | 15 | 2 | 13.33% | 15 | 3 | 80.00% | 0 | 96 | 165 | 58.18% | 91 | 164 | 55.49% | 64 | 128 | 50.00% | 156 | 100 | 150 | 57 | 115 | 57 | |
| _Since Last GM Reset | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 28 | 28 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 13 | 2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 15 | -2 | 6 | 0.429 | 28 | 51 | 79 | 1 | 0 | 10 | 8 | 10 | 0 | 239 | 78 | 77 | 82 | 2 | 231 | 75 | 30 | 126 | 15 | 2 | 13.33% | 15 | 3 | 80.00% | 0 | 96 | 165 | 58.18% | 91 | 164 | 55.49% | 64 | 128 | 50.00% | 156 | 100 | 150 | 57 | 115 | 57 | |
| _Vs Conference | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 28 | 28 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 13 | 2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 15 | -2 | 6 | 0.429 | 28 | 51 | 79 | 1 | 0 | 10 | 8 | 10 | 0 | 239 | 78 | 77 | 82 | 2 | 231 | 75 | 30 | 126 | 15 | 2 | 13.33% | 15 | 3 | 80.00% | 0 | 96 | 165 | 58.18% | 91 | 164 | 55.49% | 64 | 128 | 50.00% | 156 | 100 | 150 | 57 | 115 | 57 | |
| Total pour les joueurs | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
| 7 | 6 | L1 | 28 | 51 | 79 | 239 | 231 | 75 | 30 | 126 | 1 | 0 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 7 | 3 | 4 | 0 | 0 | 0 | 0 | 28 | 28 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 4 | 2 | 2 | 0 | 0 | 0 | 0 | 15 | 13 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 3 | 1 | 2 | 0 | 0 | 0 | 0 | 13 | 15 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 3 | 3 | 0 | 1 | 0 | 0 |
| Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
|---|---|---|---|---|---|---|
| 15 | 2 | 13.33% | 15 | 3 | 80.00% | 0 |
| Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
|---|---|---|---|---|---|---|---|
| 78 | 77 | 82 | 2 | 10 | 8 | 10 | 0 |
| Mises en jeu | ||||||||
|---|---|---|---|---|---|---|---|---|
| Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
| 96 | 165 | 58.18% | 91 | 164 | 55.49% | 64 | 128 | 50.00% |
| Temps avec la rondelle | |||||
|---|---|---|---|---|---|
| En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
| 156 | 100 | 150 | 57 | 115 | 57 |
| 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 |
| Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | COQUITLAM KNIGHTS | 3 | BANGOR BEAGLES | 1 | L | Sommaire du match | |||
| 3 | 10 | COQUITLAM KNIGHTS | 2 | BANGOR BEAGLES | 7 | W | Sommaire du match | |||
| 5 | 18 | BANGOR BEAGLES | 3 | COQUITLAM KNIGHTS | 6 | L | Sommaire du match | |||
| 7 | 26 | BANGOR BEAGLES | 2 | COQUITLAM KNIGHTS | 3 | L | X | Sommaire du match | ||
| 9 | 34 | COQUITLAM KNIGHTS | 2 | BANGOR BEAGLES | 3 | W | Sommaire du match | |||
| 11 | 42 | BANGOR BEAGLES | 8 | COQUITLAM KNIGHTS | 6 | W | Sommaire du match | |||
| 13 | 50 | COQUITLAM KNIGHTS | 6 | BANGOR BEAGLES | 4 | L | Sommaire du match |
| Capacité de l’aréna - Tendance du prix des billets - % | |||||
|---|---|---|---|---|---|
| Niveau 1 | Niveau 2 | Niveau 3 | Niveau 4 | Luxe | |
| Capacité | 6000 | 5000 | 2000 | 4000 | 1000 |
| Prix des billets | 100 | 60 | 35 | 25 | 200 |
| Assistance | 24,000 | 20,000 | 8,000 | 16,000 | 4,000 |
| Attendance PCT | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
| 38 | 18000 - 100.00% | 1,270,000$ | 5,080,000$ | 18000 | 100 |
| Dépenses | ||||
|---|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
| 0$ | 51,057,032$ | 51,057,032$ | 1,100,000$0$ | 0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Taxe de luxe totale | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|---|
| 0$ | 0$ | 886,793$ | 21 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 14 | 0$ | 0$ |
| Total de l’équipe estimé | ||
|---|---|---|
| Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
| 0$ | 425,060,116$ | 425,060,116$ |
| Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
|---|---|---|---|
| 0$ | 55,000,000$ | 55,000,000$ | -20,000,000$ |
| Ailier gauche | Centre | Ailier droit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Défense #1 | Défense #2 | Gardien | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
| Espoir | Nom de l’équipe | Année de repêchage | Choix total | Information | Date de la Dernière Transaction | Lien |
|---|
| Année | R1 | R2 | R3 | R4 | R5 |
|---|---|---|---|---|---|
| 15 | | | | | |
| 16 | | | | | |
| 17 | | | | | |
| 18 | | | | | |
| 19 | | | | | |
| Choix au repêchage conditionnel | |||||
| # | Nom du joueur | 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 |
|---|
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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| Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Année | 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 |
| # | Nom du joueur | 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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| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|