![]() | BANGOR BEAGLES |
| GP: 32 | W: 18 | L: 11 | OTL: 3 | P: 39 GF: 130 | GA: 116 | PP%: 17.17% | PK%: 83.82% DG: Clint T | Morale : 88 | Moyenne d’équipe : 82 Prochains matchs #375 vs CAPE FEAR PROWLERS |
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 | 74 | 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 | 74 | 89 | 2 | 39 | 5 | 3,267,000$ | ||
| 3 | Alex Ovechkin | X | X | 100.00 | 52 | 10 | 99 | 89 | 89 | 89 | 89 | 99 | 31 | 98 | 95 | 91 | 88 | 99 | 95 | 0 | 74 | 87 | 2 | 40 | 4 | 2,761,300$ | |||
| 4 | Dylan Cozens | X | X | 100.00 | 65 | 44 | 68 | 95 | 96 | 98 | 98 | 93 | 73 | 95 | 93 | 73 | 79 | 99 | 97 | 0 | 74 | 86 | 1 | 24 | 3 | 775,000$ | |||
| 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 | 74 | 86 | 0 | 34 | 2 | 3,395,490$ | ||
| 6 | Kaapo Kakko | X | 100.00 | 48 | 8 | 99 | 93 | 95 | 96 | 98 | 94 | 62 | 88 | 85 | 76 | 73 | 99 | 99 | 0 | 74 | 84 | 1 | 24 | 3 | 750,000$ | ||||
| 7 | Sam Reinhart | X | X | 100.00 | 43 | 9 | 89 | 83 | 79 | 95 | 94 | 99 | 76 | 94 | 95 | 77 | 69 | 99 | 99 | 0 | 74 | 84 | 2 | 30 | 1 | 1,950,000$ | |||
| 8 | Anton Lundell (R) | X | X | X | 100.00 | 44 | 6 | 94 | 90 | 93 | 99 | 94 | 89 | 65 | 90 | 87 | 81 | 60 | 99 | 88 | 0 | 74 | 83 | 1 | 24 | 4 | 900,000$ | ||
| 9 | Jordan Kyrou | X | X | X | 100.00 | 8 | 11 | 86 | 90 | 84 | 90 | 95 | 96 | 67 | 99 | 94 | 56 | 61 | 98 | 99 | 0 | 74 | 82 | 2 | 27 | 5 | 2,175,000$ | ||
| 10 | Alex Tuch | X | X | 100.00 | 45 | 1 | 99 | 83 | 83 | 94 | 97 | 88 | 51 | 87 | 82 | 57 | 55 | 99 | 99 | 0 | 74 | 78 | 2 | 29 | 3 | 1,334,000$ | |||
| 11 | Tyler Seguin | X | X | 100.00 | 1 | 1 | 99 | 63 | 75 | 88 | 86 | 99 | 79 | 84 | 81 | 74 | 75 | 99 | 99 | 0 | 74 | 77 | 2 | 33 | 3 | 2,292,000$ | |||
| 12 | Ryan Donato | X | X | X | 100.00 | 28 | 1 | 99 | 81 | 76 | 88 | 83 | 83 | 74 | 82 | 81 | 67 | 56 | 99 | 99 | 0 | 74 | 76 | 2 | 29 | 2 | 978,000$ | ||
| 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 | 3 | 2,053,750$ | ||||
| 14 | Keith Yandle | X | 100.00 | 51 | 14 | 99 | 73 | 77 | 98 | 95 | 99 | 50 | 99 | 85 | 98 | 64 | 99 | 99 | 0 | 74 | 84 | 2 | 39 | 1 | 1,525,000$ | ||||
| 15 | Jonathan Blum | X | 100.00 | 30 | 1 | 99 | 93 | 89 | 86 | 80 | 94 | 40 | 99 | 99 | 82 | 62 | 99 | 95 | 0 | 74 | 83 | 0 | 36 | 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 | 74 | 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 | 74 | 77 | 1 | 23 | 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 | Nikita Filatov | X | 100.00 | 2 | 1 | 99 | 61 | 76 | 72 | 80 | 93 | 23 | 87 | 92 | 76 | 76 | 99 | 99 | 0 | 48 | 76 | 0 | 35 | 1 | 1,200,000$ | ||||
| 2 | Vladislav Namestnikov | X | X | 100.00 | 74 | 57 | 53 | 66 | 73 | 78 | 90 | 80 | 58 | 80 | 74 | 71 | 59 | 95 | 99 | 0 | 48 | 73 | 2 | 33 | 1 | 1,200,000$ | |||
| MOYENNE D’ÉQUIPE | 100.00 | 45 | 15 | 88 | 81 | 84 | 92 | 92 | 93 | 58 | 91 | 87 | 77 | 66 | 99 | 97 | 0 | 71 | 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 | 99.00 | 73 | 96 | 97 | 87 | 86 | 94 | 94 | 95 | 89 | 80 | 75 | 99 | 97 | 0 | 75 | 88 | 1 | 28 | 4 | 1,950,000$ | |
| 2 | Leland Irving | 100.00 | 67 | 94 | 89 | 75 | 77 | 99 | 99 | 98 | 99 | 82 | 78 | 99 | 99 | 0 | 75 | 88 | 1 | 36 | 2 | 3,872,814$ | |
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 99.50 | 70 | 95 | 93 | 81 | 82 | 97 | 97 | 97 | 94 | 81 | 77 | 99 | 98 | 0 | 75 | 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 | 1 | 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 | 32 | 16 | 25 | 41 | 6 | 4 | 0 | 6 | 44 | 101 | 34 | 64 | 15.84% | 13 | 633 | 19.79 | 3 | 8 | 11 | 13 | 88 | 0 | 0 | 0 | 2 | 19 | 1 | 0 | 58.87% | 761 | 20 | 12 | 0 | 0 | 1.30 | 0 | 2 | 0 | 0 | 0 | 3 | 1 | 3 |
| 2 | Filip Forsberg | BANGOR BEAGLES | C/LW/RW | 32 | 18 | 21 | 39 | 0 | 2 | 0 | 52 | 28 | 133 | 42 | 74 | 13.53% | 9 | 639 | 20.00 | 1 | 3 | 4 | 8 | 71 | 0 | 0 | 0 | 1 | 41 | 2 | 0 | 60.00% | 40 | 28 | 8 | 0 | 1 | 1.22 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 1 |
| 3 | Alex Ovechkin | BANGOR BEAGLES | LW/RW | 32 | 13 | 24 | 37 | 6 | 2 | 0 | 53 | 28 | 101 | 43 | 62 | 12.87% | 17 | 633 | 19.78 | 3 | 8 | 11 | 17 | 87 | 0 | 0 | 0 | 0 | 25 | 3 | 0 | 44.64% | 56 | 19 | 12 | 0 | 0 | 1.17 | 0 | 2 | 0 | 0 | 0 | 2 | 2 | 4 |
| 4 | Sam Reinhart | BANGOR BEAGLES | C/RW | 32 | 15 | 19 | 34 | 6 | 6 | 0 | 46 | 33 | 85 | 34 | 60 | 17.65% | 10 | 618 | 19.33 | 5 | 4 | 9 | 17 | 88 | 0 | 0 | 0 | 1 | 9 | 1 | 0 | 57.14% | 35 | 18 | 4 | 0 | 1 | 1.10 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3 |
| 5 | Evgeni Malkin | BANGOR BEAGLES | C/LW/RW | 32 | 10 | 23 | 33 | -1 | 8 | 0 | 56 | 55 | 72 | 27 | 53 | 13.89% | 19 | 659 | 20.61 | 0 | 1 | 1 | 1 | 71 | 0 | 0 | 0 | 1 | 65 | 3 | 1 | 54.86% | 771 | 17 | 10 | 0 | 0 | 1.00 | 0 | 2 | 0 | 0 | 0 | 2 | 2 | 2 |
| 6 | Jordan Kyrou | BANGOR BEAGLES | C/LW/RW | 32 | 11 | 14 | 25 | -7 | 4 | 0 | 0 | 25 | 64 | 22 | 32 | 17.19% | 8 | 412 | 12.89 | 1 | 1 | 2 | 3 | 13 | 0 | 0 | 0 | 0 | 4 | 0 | 2 | 52.73% | 165 | 10 | 9 | 0 | 0 | 1.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 7 | Anton Lundell | BANGOR BEAGLES | C/LW/RW | 32 | 12 | 11 | 23 | 3 | 10 | 0 | 30 | 33 | 65 | 9 | 46 | 18.46% | 16 | 619 | 19.35 | 1 | 2 | 3 | 7 | 61 | 0 | 0 | 0 | 0 | 63 | 2 | 1 | 55.32% | 47 | 15 | 13 | 0 | 1 | 0.74 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 |
| 8 | Zach Werenski | BANGOR BEAGLES | D | 32 | 2 | 17 | 19 | 10 | 13 | 5 | 37 | 40 | 49 | 25 | 24 | 4.08% | 42 | 839 | 26.25 | 1 | 3 | 4 | 3 | 96 | 0 | 0 | 0 | 1 | 65 | 0 | 0 | 0% | 0 | 23 | 23 | 0 | 0 | 0.45 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 |
| 9 | Jonathan Blum | BANGOR BEAGLES | D | 32 | 1 | 16 | 17 | 10 | 6 | 0 | 10 | 45 | 60 | 25 | 16 | 1.67% | 39 | 745 | 23.29 | 0 | 0 | 0 | 4 | 59 | 0 | 0 | 0 | 1 | 42 | 0 | 0 | 0% | 0 | 16 | 21 | 0 | 0 | 0.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| 10 | Kaapo Kakko | BANGOR BEAGLES | RW | 32 | 3 | 12 | 15 | -3 | 2 | 0 | 15 | 30 | 46 | 22 | 32 | 6.52% | 12 | 360 | 11.27 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 77.78% | 9 | 12 | 8 | 0 | 0 | 0.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 11 | Dylan Cozens | BANGOR BEAGLES | C/RW | 32 | 9 | 6 | 15 | -2 | 12 | 0 | 46 | 19 | 48 | 17 | 30 | 18.75% | 9 | 366 | 11.44 | 1 | 0 | 1 | 1 | 4 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 52.08% | 48 | 13 | 5 | 0 | 0 | 0.82 | 2 | 2 | 0 | 0 | 0 | 2 | 1 | 0 |
| 12 | Alex Tuch | BANGOR BEAGLES | C/RW | 32 | 9 | 5 | 14 | 4 | 6 | 0 | 16 | 8 | 43 | 15 | 23 | 20.93% | 2 | 244 | 7.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 25.00% | 4 | 6 | 0 | 1 | 1 | 1.14 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 13 | Keith Yandle | BANGOR BEAGLES | D | 32 | 3 | 9 | 12 | -5 | 0 | 0 | 23 | 44 | 43 | 24 | 15 | 6.98% | 40 | 771 | 24.09 | 1 | 1 | 2 | 5 | 98 | 0 | 0 | 0 | 1 | 70 | 1 | 0 | 0% | 0 | 11 | 17 | 0 | 0 | 0.31 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 14 | Tyler Seguin | BANGOR BEAGLES | C/RW | 32 | 3 | 5 | 8 | 4 | 0 | 0 | 0 | 21 | 25 | 14 | 14 | 12.00% | 8 | 239 | 7.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 59.09% | 88 | 1 | 4 | 0 | 0 | 0.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 15 | Ryan Donato | BANGOR BEAGLES | C/LW/RW | 32 | 3 | 4 | 7 | 4 | 0 | 0 | 3 | 14 | 27 | 12 | 20 | 11.11% | 6 | 239 | 7.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16.67% | 6 | 3 | 5 | 0 | 0 | 0.59 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 16 | Shayne Gostisbehere | BANGOR BEAGLES | D | 32 | 0 | 6 | 6 | -1 | 44 | 10 | 78 | 21 | 18 | 4 | 6 | 0% | 10 | 380 | 11.88 | 0 | 1 | 1 | 1 | 9 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0% | 0 | 2 | 7 | 0 | 0 | 0.32 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 |
| 17 | P.K. Subban | BANGOR BEAGLES | D | 32 | 0 | 6 | 6 | -2 | 35 | 15 | 75 | 31 | 23 | 14 | 8 | 0% | 29 | 535 | 16.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0 | 0 | 0% | 0 | 1 | 15 | 0 | 0 | 0.22 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 |
| 18 | Jamie Drysdale | BANGOR BEAGLES | D | 32 | 0 | 3 | 3 | 0 | 8 | 0 | 39 | 28 | 25 | 9 | 8 | 0% | 26 | 585 | 18.31 | 0 | 0 | 0 | 3 | 63 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0% | 0 | 8 | 5 | 0 | 0 | 0.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Statistiques d’équipe totales ou en moyenne | 576 | 128 | 226 | 354 | 32 | 162 | 30 | 585 | 547 | 1028 | 392 | 587 | 12.45% | 315 | 9524 | 16.54 | 17 | 32 | 49 | 83 | 818 | 0 | 0 | 0 | 8 | 461 | 16 | 6 | 56.11% | 2030 | 223 | 178 | 1 | 4 | 0.74 | 2 | 8 | 0 | 4 | 2 | 16 | 14 | 17 | |||
| 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 | 18 | 11 | 5 | 0 | 0.872 | 3.55 | 929 | 4 | 0 | 55 | 429 | 171 | 0 | 0 | 1.000 | 8 | 16 | 16 | 0 | 0 | 0 |
| 2 | Mackenzie Blackwood | BANGOR BEAGLES | 19 | 7 | 6 | 3 | 0.887 | 3.65 | 1004 | 2 | 0 | 61 | 542 | 205 | 0 | 0 | 0 | 0 | 16 | 16 | 2 | 0 | 1 |
| Statistiques d’équipe totales ou en moyenne | 37 | 18 | 11 | 3 | 0.881 | 3.60 | 1933 | 6 | 0 | 116 | 971 | 376 | 0 | 0 | 8 | 32 | 32 | 2 | 0 | 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 |
| 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$ | 1,704,964$ | 2,761,300$ | 1,704,964$ | 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 | Yes | 3 | False | False | Pro & Farm | 1,334,000$ | 823,678$ | 1,334,000$ | 823,678$ | 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$ | 555,705$ | 900,000$ | 555,705$ | No | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
| Dylan Cozens | BANGOR BEAGLES | C/RW | 24 | 2001-02-09 | CAN | No | 194 Lbs | 6 ft5 | No | No | N/A | No | No | 3 | 2024-03-06 | False | False | Pro Only | 775,000$ | 478,523$ | 775,000$ | 478,523$ | No | 775,000$ | 775,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | 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$ | 2,017,208$ | 3,267,000$ | 2,017,208$ | 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$ | 1,519,142$ | 2,460,350$ | 1,519,142$ | No | 2,460,350$ | 2,460,350$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Jamie Drysdale | BANGOR BEAGLES | D | 23 | 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$ | 493,960$ | 800,000$ | 493,960$ | No | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
| Jonathan Blum | BANGOR BEAGLES | D | 36 | 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$ | 2,254,935$ | 3,652,015$ | 2,254,935$ | 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$ | 1,342,953$ | 2,175,000$ | 1,342,953$ | 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 | - | - | - | - | - | ||
| Kaapo Kakko | BANGOR BEAGLES | RW | 24 | 2001-02-11 | FIN | No | 215 Lbs | 6 ft4 | No | No | N/A | No | No | 3 | 2025-05-23 | False | False | Pro Only | 750,000$ | 463,087$ | 750,000$ | 463,087$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | 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 | 1 | False | False | Pro Only | 1,525,000$ | 941,611$ | 1,525,000$ | 941,611$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Leland Irving | BANGOR BEAGLES | G | 36 | 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$ | 2,391,268$ | 3,872,814$ | 2,391,268$ | No | 3,872,814$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Mackenzie Blackwood | BANGOR BEAGLES | G | 28 | 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$ | 1,204,027$ | 1,950,000$ | 1,204,027$ | No | 1,950,000$ | 1,950,000$ | 1,950,000$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
| Matt Duchene | BANGOR BEAGLES | C/LW/RW | 34 | 1991-01-16 | CAN | No | 224 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | False | False | Pro Only | 3,395,490$ | 2,096,544$ | 3,395,490$ | 2,096,544$ | 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 | Yes | 1 | 2025-06-13 | False | False | Pro & Farm | 1,200,000$ | 740,940$ | 1,200,000$ | 740,940$ | 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$ | 1,543,624$ | 2,500,000$ | 1,543,624$ | No | 2,500,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Ryan Donato | BANGOR BEAGLES | C/LW/RW | 29 | 1996-04-09 | USA | No | 205 Lbs | 6 ft1 | No | No | Trade | 2025-02-10 | No | Yes | 2 | 2024-06-10 | False | False | Pro & Farm | 978,000$ | 603,866$ | 978,000$ | 603,866$ | No | 978,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |
| Sam Reinhart | BANGOR BEAGLES | C/RW | 30 | 1995-11-06 | CAN | No | 208 Lbs | 6 ft5 | No | No | N/A | No | No | 1 | 2025-05-23 | False | False | Pro Only | 1,950,000$ | 1,204,027$ | 1,950,000$ | 1,204,027$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Shayne Gostisbehere | BANGOR BEAGLES | D | 31 | 1994-09-12 | USA | No | 244 Lbs | 6 ft4 | No | No | N/A | No | Yes | 3 | False | False | Pro & Farm | 1,500,000$ | 926,174$ | 1,500,000$ | 926,174$ | No | 1,500,000$ | 1,500,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | ||
| Tyler Seguin | BANGOR BEAGLES | C/RW | 33 | 1992-01-31 | CAN | No | 206 Lbs | 6 ft1 | No | No | N/A | No | Yes | 3 | False | False | Pro Only | 2,292,000$ | 1,415,195$ | 2,292,000$ | 1,415,195$ | No | 2,292,000$ | 2,292,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Vladislav Namestnikov | BANGOR BEAGLES | C/LW | 33 | 1992-11-22 | RUS | No | 195 Lbs | 6 ft0 | No | No | N/A | No | Yes | 1 | 2025-07-01 | False | False | Pro Only | 1,200,000$ | 740,940$ | 1,200,000$ | 740,940$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Zach Werenski | BANGOR BEAGLES | D | 28 | 1997-06-19 | USA | No | 233 Lbs | 6 ft4 | No | No | N/A | No | No | 3 | False | False | Pro Only | 2,053,750$ | 1,268,087$ | 2,053,750$ | 1,268,087$ | No | 2,053,750$ | 2,053,750$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 22 | 31.32 | 214 Lbs | 6 ft2 | 2.86 | 1,967,805$ |
| Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
|---|---|---|---|---|
| 43,291,719$ | 37,416,719$ | 26,670,415$ | 15,505,315$ | 5,442,000$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Alex Ovechkin | Matt Duchene | Sam Reinhart | 35 | 1 | 2 | 2 |
| 2 | Filip Forsberg | Evgeni Malkin | Anton Lundell | 35 | 1 | 2 | 2 |
| 3 | Dylan Cozens | Jordan Kyrou | Kaapo Kakko | 20 | 1 | 2 | 2 |
| 4 | Ryan Donato | Tyler Seguin | Alex Tuch | 10 | 1 | 3 | 1 |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Zach Werenski | Jonathan Blum | 40 | 1 | 2 | 2 | |
| 2 | Keith Yandle | P.K. Subban | 30 | 1 | 2 | 2 | |
| 3 | Shayne Gostisbehere | Jamie Drysdale | 20 | 1 | 2 | 2 | |
| 4 | Keith Yandle | Jamie Drysdale | 10 | 1 | 2 | 2 | |
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Alex Ovechkin | Matt Duchene | Sam Reinhart | 60 | 0 | 1 | 4 |
| 2 | Filip Forsberg | Evgeni Malkin | Anton Lundell | 40 | 0 | 1 | 4 |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Zach Werenski | Keith Yandle | 60 | 0 | 1 | 4 | |
| 2 | Jonathan Blum | 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 | Dylan Cozens | 60 | 1 | 2 | 2 |
| 2 | Anton Lundell | Sam Reinhart | 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 | Evgeni Malkin | 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, Dylan Cozens | 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, Dylan Cozens, Sam Reinhart |
| Gardien |
|---|
| #1 : Mackenzie Blackwood, #2 : Leland Irving |
| Lignes d’attaque personnalisées en prolongation |
|---|
| Matt Duchene, Filip Forsberg, Evgeni Malkin, Anton Lundell, Alex Ovechkin, Sam Reinhart, Jordan Kyrou, Dylan Cozens, Kaapo Kakko, Alex Tuch |
| 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 | BROOKLYN BLAZERS | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 34 | 11 | 10 | 13 | 0 | 26 | 11 | 2 | 14 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 419 | 744 | 56.32% | 404 | 734 | 55.04% | 316 | 537 | 58.85% | 23 | 14 | 19 | 7 | 16 | 8 |
| 2 | CALGARY COWBOYS | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 2 | 3 | 1 | 0 | 29 | 10 | 12 | 7 | 0 | 35 | 12 | 2 | 19 | 0 | 0 | 0% | 1 | 0 | 100.00% | 0 | 419 | 744 | 56.32% | 404 | 734 | 55.04% | 316 | 537 | 58.85% | 21 | 13 | 22 | 8 | 16 | 8 |
| 3 | CHICAGO CRUSHERS | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 11 | 9 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 4 | 1.000 | 11 | 17 | 28 | 0 | 0 | 3 | 3 | 3 | 2 | 60 | 13 | 20 | 23 | 8 | 67 | 24 | 0 | 47 | 7 | 1 | 14.29% | 0 | 0 | 0% | 0 | 419 | 744 | 56.32% | 404 | 734 | 55.04% | 316 | 537 | 58.85% | 45 | 27 | 44 | 17 | 34 | 17 |
| 4 | COQUITLAM KNIGHTS | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 29 | 14 | 6 | 9 | 0 | 42 | 13 | 8 | 23 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 419 | 744 | 56.32% | 404 | 734 | 55.04% | 316 | 537 | 58.85% | 24 | 15 | 21 | 8 | 16 | 8 |
| 5 | DETROIT RED WINGS | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 11 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 4 | 0.667 | 15 | 27 | 42 | 0 | 0 | 4 | 1 | 10 | 0 | 101 | 29 | 26 | 46 | 0 | 97 | 28 | 8 | 49 | 13 | 2 | 15.38% | 4 | 0 | 100.00% | 0 | 419 | 744 | 56.32% | 404 | 734 | 55.04% | 316 | 537 | 58.85% | 69 | 42 | 62 | 24 | 48 | 26 |
| 6 | HAWAII TYPHOON | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 11 | 8 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 11 | 8 | 3 | 4 | 1.000 | 11 | 16 | 27 | 0 | 0 | 3 | 1 | 6 | 1 | 72 | 30 | 18 | 22 | 6 | 61 | 17 | 11 | 31 | 10 | 3 | 30.00% | 3 | 1 | 66.67% | 0 | 419 | 744 | 56.32% | 404 | 734 | 55.04% | 316 | 537 | 58.85% | 48 | 31 | 41 | 16 | 34 | 17 |
| 7 | LAS CRUCES SPURS | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 15 | 10 | 5 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 7 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 5 | 0.833 | 15 | 27 | 42 | 0 | 0 | 5 | 7 | 3 | 0 | 92 | 31 | 39 | 22 | 0 | 97 | 26 | 13 | 48 | 15 | 2 | 13.33% | 4 | 1 | 75.00% | 0 | 419 | 744 | 56.32% | 404 | 734 | 55.04% | 316 | 537 | 58.85% | 68 | 41 | 63 | 25 | 48 | 25 |
| 8 | MANHATTAN ISLANDERS | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 1 | 2 | 4 | 0 | 62 | 22 | 18 | 22 | 0 | 44 | 21 | 6 | 40 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 419 | 744 | 56.32% | 404 | 734 | 55.04% | 316 | 537 | 58.85% | 49 | 31 | 38 | 16 | 32 | 15 |
| 9 | NEWTON NIGHTMARES | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 0.667 | 11 | 19 | 30 | 0 | 0 | 2 | 4 | 5 | 0 | 100 | 25 | 45 | 30 | 0 | 74 | 37 | 16 | 55 | 10 | 1 | 10.00% | 8 | 0 | 100.00% | 0 | 419 | 744 | 56.32% | 404 | 734 | 55.04% | 316 | 537 | 58.85% | 71 | 43 | 59 | 23 | 49 | 25 |
| 10 | NORTH VAN ROCKERS | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 0 | 0.000 | 7 | 12 | 19 | 0 | 0 | 2 | 2 | 3 | 0 | 61 | 22 | 18 | 21 | 0 | 58 | 25 | 25 | 50 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 419 | 744 | 56.32% | 404 | 734 | 55.04% | 316 | 537 | 58.85% | 44 | 26 | 40 | 16 | 34 | 18 |
| 11 | PENSACOLA BADGERS | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 18 | 18 | 0 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 14 | 17 | -3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 0.400 | 18 | 31 | 49 | 0 | 0 | 4 | 8 | 6 | 0 | 153 | 53 | 60 | 40 | 0 | 148 | 43 | 35 | 84 | 10 | 3 | 30.00% | 15 | 3 | 80.00% | 0 | 419 | 744 | 56.32% | 404 | 734 | 55.04% | 316 | 537 | 58.85% | 109 | 67 | 105 | 43 | 84 | 40 |
| 12 | PHILADELPHIA MADMEN | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 8 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 0.667 | 11 | 19 | 30 | 0 | 0 | 3 | 4 | 3 | 1 | 94 | 28 | 35 | 29 | 2 | 96 | 24 | 26 | 64 | 6 | 2 | 33.33% | 12 | 2 | 83.33% | 0 | 419 | 744 | 56.32% | 404 | 734 | 55.04% | 316 | 537 | 58.85% | 66 | 41 | 65 | 26 | 50 | 24 |
| 13 | SAN JOSE BLASPHEMERS | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 34 | 4 | 13 | 17 | 0 | 27 | 12 | 6 | 24 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 419 | 744 | 56.32% | 404 | 734 | 55.04% | 316 | 537 | 58.85% | 22 | 14 | 21 | 8 | 16 | 7 |
| 14 | VANCOUVER MILLIONAIRES | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 9 | -1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 3 | 0.500 | 8 | 15 | 23 | 0 | 0 | 2 | 1 | 5 | 0 | 107 | 26 | 33 | 46 | 2 | 99 | 22 | 10 | 37 | 11 | 1 | 9.09% | 5 | 2 | 60.00% | 0 | 419 | 744 | 56.32% | 404 | 734 | 55.04% | 316 | 537 | 58.85% | 67 | 43 | 64 | 24 | 49 | 25 |
| Total | 32 | 14 | 11 | 0 | 2 | 3 | 2 | 0 | 130 | 116 | 14 | 17 | 6 | 7 | 0 | 2 | 2 | 0 | 0 | 71 | 68 | 3 | 15 | 8 | 4 | 0 | 0 | 1 | 2 | 0 | 59 | 48 | 11 | 39 | 0.609 | 130 | 226 | 356 | 0 | 0 | 34 | 39 | 53 | 4 | 1028 | 318 | 353 | 347 | 18 | 971 | 315 | 168 | 585 | 99 | 17 | 17.17% | 68 | 11 | 83.82% | 0 | 419 | 744 | 56.32% | 404 | 734 | 55.04% | 316 | 537 | 58.85% | 731 | 454 | 670 | 267 | 533 | 269 | |
| _Since Last GM Reset | 32 | 14 | 11 | 0 | 2 | 3 | 2 | 0 | 130 | 116 | 14 | 17 | 6 | 7 | 0 | 2 | 2 | 0 | 0 | 71 | 68 | 3 | 15 | 8 | 4 | 0 | 0 | 1 | 2 | 0 | 59 | 48 | 11 | 39 | 0.609 | 130 | 226 | 356 | 0 | 0 | 34 | 39 | 53 | 4 | 1028 | 318 | 353 | 347 | 18 | 971 | 315 | 168 | 585 | 99 | 17 | 17.17% | 68 | 11 | 83.82% | 0 | 419 | 744 | 56.32% | 404 | 734 | 55.04% | 316 | 537 | 58.85% | 731 | 454 | 670 | 267 | 533 | 269 | |
| _Vs Conference | 27 | 11 | 9 | 0 | 2 | 3 | 2 | 0 | 110 | 96 | 14 | 14 | 5 | 5 | 0 | 2 | 2 | 0 | 0 | 58 | 51 | 7 | 13 | 6 | 4 | 0 | 0 | 1 | 2 | 0 | 52 | 45 | 7 | 33 | 0.611 | 110 | 188 | 298 | 0 | 0 | 30 | 32 | 44 | 4 | 869 | 271 | 300 | 288 | 18 | 839 | 259 | 152 | 488 | 89 | 16 | 17.98% | 60 | 11 | 81.67% | 0 | 419 | 744 | 56.32% | 404 | 734 | 55.04% | 316 | 537 | 58.85% | 615 | 380 | 568 | 226 | 451 | 229 | |
| _Vs Division | 16 | 7 | 5 | 0 | 2 | 1 | 1 | 0 | 70 | 56 | 14 | 9 | 3 | 3 | 0 | 2 | 1 | 0 | 0 | 43 | 37 | 6 | 7 | 4 | 2 | 0 | 0 | 0 | 1 | 0 | 27 | 19 | 8 | 21 | 0.656 | 70 | 121 | 191 | 0 | 0 | 19 | 23 | 25 | 3 | 500 | 154 | 180 | 160 | 10 | 505 | 145 | 82 | 292 | 51 | 10 | 19.61% | 35 | 6 | 82.86% | 0 | 419 | 744 | 56.32% | 404 | 734 | 55.04% | 316 | 537 | 58.85% | 359 | 221 | 341 | 137 | 267 | 134 | |
| 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 |
| 32 | 39 | OTL1 | 130 | 226 | 356 | 1028 | 971 | 315 | 168 | 585 | 0 | 0 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 32 | 14 | 11 | 2 | 3 | 2 | 0 | 130 | 116 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 17 | 6 | 7 | 2 | 2 | 0 | 0 | 71 | 68 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 15 | 8 | 4 | 0 | 1 | 2 | 0 | 59 | 48 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 3 | 6 | 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 |
|---|---|---|---|---|---|---|
| 99 | 17 | 17.17% | 68 | 11 | 83.82% | 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 |
|---|---|---|---|---|---|---|---|
| 318 | 353 | 347 | 18 | 34 | 39 | 53 | 4 |
| 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 |
| 419 | 744 | 56.32% | 404 | 734 | 55.04% | 316 | 537 | 58.85% |
| 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 |
| 731 | 454 | 670 | 267 | 533 | 269 |
| 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 |
| 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 | 100,090 | 85,000 | 34,000 | 68,000 | 17,000 |
| Attendance PCT | 98.13% | 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 |
| 25 | 17888 - 99.38% | 1,258,765$ | 21,399,000$ | 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 |
| 16,972,659$ | 43,291,719$ | 43,291,719$ | 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 |
|---|---|---|---|---|
| 43,291,719$ | 16,551,856$ | 330,461$ | 22 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 31,469,118$ | 92 | 297,931$ | 27,409,652$ |
| Total de l’équipe estimé | ||
|---|---|---|
| Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
| 29,961,819$ | 417,453,792$ | 420,922,141$ |
| Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
|---|---|---|---|
| 46,167,569$ | 8,832,431$ | 55,000,000$ | 26,167,569$ |
| Ailier gauche | Centre | Ailier droit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
| Défense #1 | Défense #2 | Gardien | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
| 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 |
|---|
| Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 |
|---|
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|