![]() | BANGOR BEAGLES |
| GP: 11 | W: 8 | L: 3 | OTL: 0 | P: 16 GF: 56 | GA: 40 | PP%: 11.54% | PK%: 81.82% DG: Clint T | Morale : 90 | Moyenne d’équipe : 82 Prochains matchs #121 vs PENSACOLA BADGERS |
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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 | 61 | 1 | 99 | 96 | 94 | 94 | 95 | 99 | 78 | 99 | 99 | 81 | 69 | 99 | 99 | 0 | 84 | 89 | 2 | 32 | 2 | 2,475,350$ | ||
| 2 | Evgeni Malkin (A) | X | X | X | 100.00 | 61 | 1 | 99 | 85 | 79 | 95 | 96 | 99 | 76 | 99 | 99 | 98 | 80 | 99 | 99 | 0 | 84 | 89 | 2 | 40 | 4 | 3,267,000$ | ||
| 3 | Alex Ovechkin | X | X | 100.00 | 48 | 6 | 99 | 90 | 84 | 89 | 89 | 99 | 30 | 99 | 96 | 90 | 88 | 99 | 99 | 0 | 84 | 87 | 2 | 41 | 3 | 2,761,300$ | |||
| 4 | Anton Lundell | X | X | X | 100.00 | 49 | 4 | 96 | 95 | 95 | 99 | 94 | 92 | 68 | 92 | 89 | 83 | 60 | 99 | 99 | 0 | 84 | 86 | 1 | 25 | 3 | 900,000$ | ||
| 5 | Matt Duchene (C) | X | X | X | 100.00 | 2 | 1 | 99 | 88 | 78 | 95 | 96 | 99 | 95 | 99 | 99 | 81 | 75 | 99 | 99 | 0 | 84 | 86 | 0 | 35 | 1 | 3,395,490$ | ||
| 6 | Martin Nečas | X | X | X | 100.00 | 33 | 1 | 99 | 88 | 87 | 99 | 93 | 98 | 57 | 99 | 99 | 81 | 57 | 99 | 99 | 0 | 84 | 86 | 1 | 27 | 4 | 2,887,500$ | ||
| 7 | Tyson Jost | X | X | 100.00 | 36 | 1 | 99 | 82 | 83 | 91 | 95 | 99 | 59 | 97 | 93 | 70 | 50 | 99 | 98 | 0 | 84 | 83 | 1 | 28 | 4 | 2,262,500$ | |||
| 8 | Dylan Holloway (R) | X | X | 100.00 | 68 | 28 | 72 | 86 | 89 | 96 | 94 | 88 | 71 | 89 | 79 | 75 | 68 | 91 | 95 | 0 | 84 | 81 | 1 | 25 | 3 | 1,000,000$ | |||
| 9 | Jordan Kyrou | X | X | X | 100.00 | 4 | 7 | 90 | 85 | 79 | 89 | 95 | 98 | 68 | 99 | 96 | 57 | 61 | 99 | 99 | 0 | 84 | 81 | 2 | 28 | 4 | 2,175,000$ | ||
| 10 | Alex Tuch | X | X | 100.00 | 40 | 1 | 99 | 78 | 85 | 93 | 97 | 87 | 49 | 86 | 81 | 58 | 55 | 99 | 99 | 0 | 84 | 78 | 2 | 30 | 2 | 1,334,000$ | |||
| 11 | Tyler Seguin | X | X | 100.00 | 1 | 1 | 99 | 62 | 76 | 81 | 86 | 98 | 80 | 83 | 81 | 77 | 75 | 99 | 99 | 0 | 84 | 76 | 2 | 34 | 2 | 2,292,000$ | |||
| 12 | Ryan Donato | X | X | X | 100.00 | 23 | 1 | 99 | 76 | 76 | 85 | 83 | 82 | 73 | 81 | 80 | 70 | 56 | 99 | 99 | 0 | 84 | 75 | 2 | 30 | 1 | 978,000$ | ||
| 13 | Zach Werenski | X | 100.00 | 51 | 1 | 99 | 96 | 91 | 99 | 95 | 99 | 44 | 99 | 99 | 75 | 56 | 99 | 99 | 0 | 84 | 86 | 1 | 29 | 5 | 3,594,063$ | ||||
| 14 | Keith Yandle | X | 100.00 | 47 | 10 | 99 | 78 | 76 | 99 | 95 | 95 | 50 | 99 | 86 | 99 | 64 | 99 | 99 | 0 | 84 | 84 | 2 | 40 | 2 | 4,575,000$ | ||||
| 15 | Jamie Drysdale | X | 100.00 | 58 | 19 | 85 | 94 | 95 | 98 | 97 | 89 | 40 | 79 | 70 | 66 | 55 | 99 | 99 | 0 | 85 | 80 | 1 | 24 | 3 | 800,000$ | ||||
| 16 | Victor Söderström | X | 100.00 | 7 | 1 | 99 | 89 | 97 | 92 | 95 | 93 | 44 | 89 | 73 | 76 | 48 | 99 | 95 | 0 | 85 | 78 | 1 | 25 | 2 | 750,000$ | ||||
| 17 | Shayne Gostisbehere | X | 100.00 | 98 | 75 | 13 | 63 | 84 | 80 | 96 | 82 | 39 | 82 | 60 | 74 | 47 | 99 | 90 | 0 | 84 | 76 | 2 | 32 | 2 | 1,500,000$ | ||||
| 18 | Ryker Evans (R) | X | 100.00 | 79 | 30 | 85 | 83 | 83 | 83 | 87 | 64 | 44 | 74 | 56 | 71 | 48 | 82 | 79 | 0 | 82 | 73 | 2 | 24 | 4 | 900,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | Nikita Filatov | X | 100.00 | 1 | 1 | 99 | 60 | 77 | 65 | 80 | 93 | 23 | 87 | 86 | 77 | 76 | 99 | 99 | 0 | 69 | 75 | 0 | 36 | 2 | 2,700,000$ | ||||
| 2 | Jonathan Blum | X | 87.83 | 27 | 1 | 99 | 95 | 84 | 87 | 80 | 95 | 40 | 99 | 99 | 83 | 62 | 99 | 99 | 0 | 76 | 83 | 0 | 37 | 3 | 3,652,015$ | ||||
| MOYENNE D’ÉQUIPE | 99.39 | 40 | 10 | 91 | 83 | 85 | 90 | 92 | 92 | 56 | 92 | 86 | 77 | 63 | 98 | 97 | 0 | 83 | 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 | 68 | 96 | 92 | 87 | 84 | 92 | 97 | 98 | 92 | 80 | 75 | 99 | 99 | 0 | 85 | 88 | 1 | 29 | 3 | 1,950,000$ | |
| 2 | Scott Wedgewood | 100.00 | 61 | 65 | 70 | 81 | 71 | 82 | 82 | 95 | 81 | 67 | 58 | 99 | 90 | 0 | 86 | 78 | 2 | 34 | 1 | 750,000$ | |
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 99.50 | 65 | 81 | 81 | 84 | 78 | 87 | 90 | 97 | 87 | 74 | 67 | 99 | 95 | 0 | 86 | 83 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Todd McLellan | 93 | 90 | 82 | 85 | 99 | 99 | 23 | CAN | 54 | 4 | 1,100,000$ |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | 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 | Filip Forsberg | BANGOR BEAGLES | C/LW/RW | 11 | 9 | 13 | 22 | 18 | 2 | 0 | 23 | 15 | 51 | 12 | 38 | 17.65% | 7 | 214 | 19.53 | 2 | 1 | 3 | 4 | 25 | 0 | 0 | 0 | 1 | 7 | 3 | 1 | 45.30% | 234 | 7 | 4 | 0 | 0 | 2.05 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 |
| 2 | Matt Duchene | BANGOR BEAGLES | C/LW/RW | 11 | 9 | 6 | 15 | -9 | 0 | 0 | 5 | 20 | 37 | 11 | 25 | 24.32% | 3 | 214 | 19.54 | 0 | 3 | 3 | 4 | 25 | 0 | 0 | 0 | 0 | 5 | 2 | 0 | 62.40% | 250 | 5 | 0 | 1 | 1 | 1.40 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
| 3 | Zach Werenski | BANGOR BEAGLES | D | 11 | 0 | 13 | 13 | 7 | 4 | 0 | 15 | 9 | 15 | 8 | 10 | 0% | 16 | 303 | 27.56 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0% | 0 | 4 | 9 | 0 | 0 | 0.86 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 4 | Evgeni Malkin | BANGOR BEAGLES | C/LW/RW | 11 | 6 | 6 | 12 | 10 | 6 | 0 | 18 | 16 | 29 | 5 | 26 | 20.69% | 1 | 224 | 20.37 | 1 | 1 | 2 | 3 | 25 | 0 | 0 | 0 | 0 | 15 | 1 | 0 | 38.64% | 44 | 6 | 3 | 0 | 0 | 1.07 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 |
| 5 | Tyson Jost | BANGOR BEAGLES | C/LW | 11 | 4 | 6 | 10 | -2 | 2 | 0 | 2 | 7 | 22 | 8 | 10 | 18.18% | 2 | 172 | 15.64 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 40.00% | 5 | 3 | 4 | 0 | 0 | 1.16 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 6 | Anton Lundell | BANGOR BEAGLES | C/LW/RW | 11 | 4 | 6 | 10 | 4 | 0 | 0 | 19 | 10 | 30 | 11 | 14 | 13.33% | 4 | 195 | 17.78 | 0 | 0 | 0 | 1 | 19 | 0 | 0 | 0 | 0 | 18 | 0 | 2 | 25.00% | 12 | 9 | 1 | 0 | 0 | 1.02 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| 7 | Jordan Kyrou | BANGOR BEAGLES | C/LW/RW | 11 | 5 | 5 | 10 | 6 | 7 | 5 | 0 | 7 | 19 | 7 | 17 | 26.32% | 2 | 152 | 13.87 | 0 | 0 | 0 | 1 | 19 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 40.00% | 15 | 9 | 1 | 0 | 0 | 1.31 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 8 | Alex Ovechkin | BANGOR BEAGLES | LW/RW | 11 | 5 | 5 | 10 | 4 | 2 | 0 | 7 | 5 | 30 | 1 | 28 | 16.67% | 3 | 181 | 16.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 15 | 8 | 5 | 0 | 0 | 1.10 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
| 9 | Martin Nečas | BANGOR BEAGLES | C/LW/RW | 11 | 1 | 8 | 9 | 1 | 2 | 0 | 9 | 12 | 29 | 9 | 22 | 3.45% | 2 | 197 | 17.95 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 14 | 4 | 9 | 0 | 0 | 0.91 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 10 | Jonathan Blum | BANGOR BEAGLES | D | 11 | 1 | 7 | 8 | 6 | 9 | 5 | 10 | 15 | 12 | 8 | 7 | 8.33% | 15 | 246 | 22.38 | 0 | 1 | 1 | 1 | 26 | 0 | 0 | 0 | 0 | 14 | 0 | 1 | 0% | 0 | 8 | 7 | 0 | 0 | 0.65 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| 11 | Dylan Holloway | BANGOR BEAGLES | C/LW | 11 | 2 | 5 | 7 | 5 | 4 | 0 | 25 | 12 | 21 | 5 | 8 | 9.52% | 3 | 140 | 12.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 1 | 51.11% | 90 | 1 | 1 | 0 | 0 | 0.99 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 12 | Alex Tuch | BANGOR BEAGLES | C/RW | 11 | 5 | 2 | 7 | 6 | 2 | 0 | 11 | 5 | 18 | 2 | 3 | 27.78% | 2 | 87 | 7.96 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 1 | 2 | 0 | 0 | 1.60 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 13 | Tyler Seguin | BANGOR BEAGLES | C/RW | 11 | 1 | 4 | 5 | 4 | 0 | 0 | 0 | 6 | 10 | 5 | 4 | 10.00% | 6 | 81 | 7.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.16% | 31 | 2 | 0 | 0 | 0 | 1.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 14 | Keith Yandle | BANGOR BEAGLES | D | 11 | 0 | 4 | 4 | 10 | 2 | 0 | 14 | 17 | 16 | 5 | 7 | 0% | 15 | 272 | 24.75 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 0% | 0 | 0 | 10 | 0 | 0 | 0.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 15 | Ryan Donato | BANGOR BEAGLES | C/LW/RW | 11 | 2 | 2 | 4 | 4 | 0 | 0 | 4 | 2 | 10 | 2 | 10 | 20.00% | 2 | 81 | 7.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 3 | 0 | 0 | 0.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 16 | Jamie Drysdale | BANGOR BEAGLES | D | 11 | 1 | 2 | 3 | 1 | 7 | 5 | 14 | 8 | 10 | 1 | 2 | 10.00% | 4 | 170 | 15.49 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0% | 0 | 1 | 3 | 0 | 0 | 0.35 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| 17 | Victor Söderström | BANGOR BEAGLES | D | 11 | 1 | 2 | 3 | 7 | 0 | 0 | 2 | 11 | 7 | 5 | 3 | 14.29% | 10 | 183 | 16.65 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0% | 0 | 1 | 2 | 0 | 0 | 0.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 18 | Shayne Gostisbehere | BANGOR BEAGLES | D | 11 | 0 | 1 | 1 | 3 | 10 | 0 | 21 | 5 | 5 | 2 | 1 | 0% | 6 | 145 | 13.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0% | 0 | 0 | 2 | 0 | 0 | 0.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Statistiques d’équipe totales ou en moyenne | 198 | 56 | 97 | 153 | 85 | 59 | 15 | 199 | 182 | 371 | 107 | 235 | 15.09% | 103 | 3265 | 16.49 | 3 | 6 | 9 | 15 | 227 | 0 | 0 | 0 | 1 | 128 | 8 | 5 | 50.91% | 713 | 69 | 66 | 1 | 1 | 0.94 | 0 | 0 | 1 | 0 | 2 | 7 | 8 | 8 | |||
| 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 | Mackenzie Blackwood | BANGOR BEAGLES | 7 | 4 | 1 | 0 | 0.889 | 3.48 | 345 | 0 | 1 | 20 | 180 | 64 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 0 | 0 |
| 2 | Scott Wedgewood | BANGOR BEAGLES | 6 | 4 | 2 | 0 | 0.873 | 3.82 | 314 | 0 | 0 | 20 | 158 | 71 | 0 | 0 | 0 | 0 | 5 | 6 | 0 | 0 | 0 |
| Statistiques d’équipe totales ou en moyenne | 13 | 8 | 3 | 0 | 0.882 | 3.64 | 660 | 0 | 1 | 40 | 338 | 135 | 0 | 0 | 0 | 11 | 11 | 1 | 0 | 0 | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| 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 | 41 | 1985-09-17 | RUS | No | 244 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | 2025-01-13 | False | False | Pro Only | 2,761,300$ | 2,407,287$ | 2,761,300$ | 2,407,287$ | No | 2,761,300$ | 2,761,300$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | |
| Alex Tuch | BANGOR BEAGLES | C/RW | 30 | 1996-05-10 | USA | No | 244 Lbs | 6 ft5 | No | No | Trade | 2025-02-10 | No | No | 2 | False | False | Pro & Farm | 1,334,000$ | 1,162,974$ | 1,334,000$ | 1,162,974$ | No | 1,334,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Anton Lundell | BANGOR BEAGLES | C/LW/RW | 25 | 2001-10-03 | FIN | No | 196 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | 2025-03-04 | False | False | Pro Only | 900,000$ | 784,615$ | 900,000$ | 784,615$ | No | 900,000$ | 900,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Dylan Holloway | BANGOR BEAGLES | C/LW | 25 | 2001-09-23 | CAN | Yes | 221 Lbs | 6 ft2 | No | No | Trade | 2025-07-13 | No | No | 3 | 2026-04-08 | False | False | Pro Only | 1,000,000$ | 871,795$ | 1,000,000$ | 871,795$ | No | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |
| Evgeni Malkin | BANGOR BEAGLES | C/LW/RW | 40 | 1986-07-31 | RUS | No | 211 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | 2025-03-31 | False | False | Pro Only | 3,267,000$ | 2,848,154$ | 3,267,000$ | 2,848,154$ | No | 3,267,000$ | 3,267,000$ | 3,267,000$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL | |
| Filip Forsberg | BANGOR BEAGLES | C/LW/RW | 32 | 1994-08-13 | SWE | No | 222 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | 2026-10-08 | False | False | Pro Only | 2,475,350$ | 2,157,997$ | 2,475,350$ | 2,157,997$ | No | 2,475,350$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Jamie Drysdale | BANGOR BEAGLES | D | 24 | 2002-04-08 | CAN | No | 181 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | 2024-06-09 | False | False | Pro Only | 800,000$ | 697,436$ | 800,000$ | 697,436$ | No | 800,000$ | 800,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Jonathan Blum | BANGOR BEAGLES | D | 37 | 1989-01-30 | USA | No | 198 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | 2025-03-31 | False | False | Pro Only | 3,652,015$ | 3,183,808$ | 3,652,015$ | 3,183,808$ | No | 3,652,015$ | 3,652,015$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Jordan Kyrou | BANGOR BEAGLES | C/LW/RW | 28 | 1998-05-05 | CAN | No | 217 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | 2025-03-31 | False | False | Pro Only | 2,175,000$ | 1,896,154$ | 2,175,000$ | 1,896,154$ | No | 2,175,000$ | 2,175,000$ | 2,175,000$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
| Keith Yandle | BANGOR BEAGLES | D | 40 | 1986-09-09 | USA | No | 209 Lbs | 6 ft1 | No | No | Trade | 2024-03-04 | No | No | 2 | 2026-03-14 | False | False | Pro Only | 4,575,000$ | 3,988,462$ | 4,575,000$ | 3,988,462$ | No | 4,575,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |
| Mackenzie Blackwood | BANGOR BEAGLES | G | 29 | 1996-12-09 | CAN | No | 242 Lbs | 6 ft6 | No | No | N/A | No | No | 3 | 2024-03-16 | False | False | Pro Only | 1,950,000$ | 1,700,000$ | 1,950,000$ | 1,700,000$ | No | 1,950,000$ | 1,950,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Martin Nečas | BANGOR BEAGLES | C/LW/RW | 27 | 1999-01-15 | CZE | No | 200 Lbs | 6 ft3 | No | No | Trade | 2026-03-05 | No | No | 4 | 2025-03-22 | False | False | Pro Only | 2,887,500$ | 2,517,308$ | 2,887,500$ | 2,517,308$ | No | 2,887,500$ | 2,887,500$ | 2,887,500$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |
| Matt Duchene | BANGOR BEAGLES | C/LW/RW | 35 | 1991-01-16 | CAN | No | 224 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro Only | 3,395,490$ | 2,960,171$ | 3,395,490$ | 2,960,171$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Nikita Filatov | BANGOR BEAGLES | LW | 36 | 1990-05-25 | RUS | No | 213 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | 2026-03-14 | False | False | Pro & Farm | 2,700,000$ | 2,353,846$ | 2,700,000$ | 2,353,846$ | No | 2,700,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Ryan Donato | BANGOR BEAGLES | C/LW/RW | 30 | 1996-04-09 | USA | No | 206 Lbs | 6 ft1 | No | No | Trade | 2025-02-10 | No | No | 1 | 2024-06-10 | False | False | Pro & Farm | 978,000$ | 852,615$ | 978,000$ | 852,615$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| Ryker Evans | BANGOR PUPPIES (BEA) | D | 24 | 2001-12-13 | USA | Yes | 187 Lbs | 5 ft11 | No | No | Trade | 2025-07-15 | No | No | 4 | 2025-06-13 | False | False | Pro & Farm | 900,000$ | 779,195$ | 90,000$ | 77,919$ | No | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |
| Scott Wedgewood | BANGOR BEAGLES | G | 34 | 1992-08-14 | CAN | No | 218 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 653,846$ | 750,000$ | 653,846$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Shayne Gostisbehere | BANGOR BEAGLES | D | 32 | 1994-09-12 | USA | No | 244 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,500,000$ | 1,307,692$ | 1,500,000$ | 1,307,692$ | No | 1,500,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | ||
| Tyler Seguin | BANGOR BEAGLES | C/RW | 34 | 1992-01-31 | CAN | No | 207 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro Only | 2,292,000$ | 1,998,154$ | 2,292,000$ | 1,998,154$ | No | 2,292,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Tyson Jost | BANGOR BEAGLES | C/LW | 28 | 1998-03-14 | CAN | No | 207 Lbs | 5 ft11 | No | No | Trade | 2026-03-05 | No | No | 4 | 2025-11-05 | False | False | Pro Only | 2,262,500$ | 1,972,436$ | 2,262,500$ | 1,972,436$ | No | 2,262,500$ | 2,262,500$ | 2,262,500$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |
| Victor Söderström | BANGOR BEAGLES | D | 25 | 2001-02-26 | SWE | No | 194 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 653,846$ | 750,000$ | 653,846$ | No | 750,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Zach Werenski | BANGOR BEAGLES | D | 29 | 1997-06-19 | USA | No | 235 Lbs | 6 ft4 | No | No | N/A | No | No | 5 | 2026-03-14 | False | False | Pro Only | 3,594,063$ | 3,133,286$ | 3,594,063$ | 3,133,286$ | No | 3,594,063$ | 3,594,063$ | 3,594,063$ | 3,594,063$ | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 22 | 31.14 | 215 Lbs | 6 ft2 | 2.73 | 2,131,783$ |
| Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
|---|---|---|---|---|
| 46,899,218$ | 41,775,728$ | 26,149,378$ | 15,086,063$ | 3,594,063$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Evgeni Malkin | Filip Forsberg | Alex Ovechkin | 35 | 1 | 2 | 2 |
| 2 | Martin Nečas | Matt Duchene | Anton Lundell | 35 | 1 | 2 | 2 |
| 3 | Tyson Jost | Dylan Holloway | Jordan Kyrou | 25 | 1 | 2 | 2 |
| 4 | Ryan Donato | Tyler Seguin | Alex Tuch | 5 | 1 | 3 | 1 |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Zach Werenski | Keith Yandle | 40 | 1 | 2 | 2 | |
| 2 | Jamie Drysdale | Victor Söderström | 30 | 1 | 2 | 2 | |
| 3 | Ryker Evans | Shayne Gostisbehere | 20 | 1 | 2 | 2 | |
| 4 | Keith Yandle | Zach Werenski | 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 | Victor Söderström | 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 | Shayne Gostisbehere | Keith Yandle | 60 | 1 | 2 | 2 |
| 2 | Zach Werenski | Victor Söderström | 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 | Shayne Gostisbehere | 60 | 1 | 2 | 2 |
| 2 | Anton Lundell | 40 | 1 | 2 | 2 | Keith Yandle | Jamie Drysdale | 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 | Shayne Gostisbehere | 60 | 1 | 2 | 2 |
| 2 | Jamie Drysdale | Keith Yandle | 40 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Filip Forsberg | Matt Duchene | Martin Nečas | Zach Werenski | Keith Yandle |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Anton Lundell | Evgeni Malkin | Alex Ovechkin | Jamie Drysdale | Keith Yandle |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Matt Duchene, Tyson Jost, Alex Ovechkin | Tyson Jost, Jordan Kyrou | Dylan Holloway |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Victor Söderström, Shayne Gostisbehere, Zach Werenski | Shayne Gostisbehere | Ryker Evans, Jamie Drysdale |
| Tirs de pénalité |
|---|
| Alex Ovechkin, Evgeni Malkin, Matt Duchene, Anton Lundell, Tyler Seguin |
| Gardien |
|---|
| #1 : Mackenzie Blackwood, #2 : Scott Wedgewood, #3 : 0 |
| 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, Keith Yandle, Victor Söderström, Shayne Gostisbehere, 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 | RI |
| 1 | CHICAGO CRUSHERS | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 3 | 1 | 0 | 0 | 34 | 9 | 17 | 8 | 0 | 32 | 9 | 6 | 17 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 136 | 263 | 51.71% | 119 | 252 | 47.22% | 108 | 198 | 54.55% | 19 | 12 | 25 | 8 | 15 | 7 | |
| 2 | COLORADO WOLVES | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 1 | 6 | 2 | 0 | 69 | 18 | 34 | 17 | 0 | 60 | 19 | 10 | 32 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 136 | 263 | 51.71% | 119 | 252 | 47.22% | 108 | 198 | 54.55% | 47 | 31 | 41 | 15 | 31 | 16 | |
| 3 | DETROIT RED WINGS | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 0 | 42 | 8 | 19 | 15 | 0 | 26 | 8 | 21 | 18 | 0 | 0 | 0% | 3 | 0 | 100.00% | 0 | 136 | 263 | 51.71% | 119 | 252 | 47.22% | 108 | 198 | 54.55% | 24 | 16 | 20 | 7 | 15 | 8 | |
| 4 | LAS CRUCES SPURS | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 4 | 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 11 | 19 | 30 | 0 | 1 | 7 | 2 | 2 | 0 | 71 | 22 | 26 | 23 | 0 | 60 | 16 | 4 | 37 | 7 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 136 | 263 | 51.71% | 119 | 252 | 47.22% | 108 | 198 | 54.55% | 45 | 28 | 42 | 16 | 32 | 16 | |
| 5 | NEWTON NIGHTMARES | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 2 | 1.000 | 8 | 14 | 22 | 0 | 0 | 3 | 2 | 3 | 0 | 31 | 12 | 8 | 11 | 0 | 35 | 15 | 6 | 18 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 136 | 263 | 51.71% | 119 | 252 | 47.22% | 108 | 198 | 54.55% | 21 | 12 | 22 | 8 | 16 | 8 | |
| 6 | PENSACOLA BADGERS | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 36 | 15 | 11 | 10 | 0 | 33 | 7 | 0 | 23 | 4 | 0 | 0.00% | 0 | 0 | 0% | 0 | 136 | 263 | 51.71% | 119 | 252 | 47.22% | 108 | 198 | 54.55% | 22 | 14 | 20 | 8 | 16 | 8 | |
| 7 | PHILADELPHIA MADMEN | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 12 | 19 | 31 | 0 | 0 | 4 | 2 | 6 | 0 | 56 | 20 | 9 | 27 | 0 | 60 | 16 | 10 | 40 | 4 | 2 | 50.00% | 5 | 2 | 60.00% | 0 | 136 | 263 | 51.71% | 119 | 252 | 47.22% | 108 | 198 | 54.55% | 45 | 28 | 41 | 16 | 33 | 17 | |
| 8 | PINCHER CREEK PREDATORS | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 32 | 13 | 9 | 10 | 0 | 32 | 13 | 2 | 14 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 136 | 263 | 51.71% | 119 | 252 | 47.22% | 108 | 198 | 54.55% | 25 | 16 | 18 | 7 | 16 | 8 | |
| Total | 11 | 8 | 3 | 0 | 0 | 0 | 0 | 0 | 56 | 40 | 16 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 22 | 18 | 4 | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 34 | 22 | 12 | 16 | 0.727 | 56 | 97 | 153 | 0 | 1 | 21 | 18 | 17 | 0 | 371 | 117 | 133 | 121 | 0 | 338 | 103 | 59 | 199 | 26 | 3 | 11.54% | 22 | 4 | 81.82% | 0 | 136 | 263 | 51.71% | 119 | 252 | 47.22% | 108 | 198 | 54.55% | 250 | 161 | 231 | 87 | 177 | 91 | ||
| _Since Last GM Reset | 11 | 8 | 3 | 0 | 0 | 0 | 0 | 0 | 56 | 40 | 16 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 22 | 18 | 4 | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 34 | 22 | 12 | 16 | 0.727 | 56 | 97 | 153 | 0 | 1 | 21 | 18 | 17 | 0 | 371 | 117 | 133 | 121 | 0 | 338 | 103 | 59 | 199 | 26 | 3 | 11.54% | 22 | 4 | 81.82% | 0 | 136 | 263 | 51.71% | 119 | 252 | 47.22% | 108 | 198 | 54.55% | 250 | 161 | 231 | 87 | 177 | 91 | ||
| _Vs Conference | 8 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 44 | 27 | 17 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 19 | 13 | 6 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 14 | 11 | 14 | 0.875 | 44 | 76 | 120 | 0 | 1 | 19 | 10 | 15 | 0 | 270 | 86 | 90 | 94 | 0 | 246 | 71 | 47 | 153 | 19 | 3 | 15.79% | 16 | 3 | 81.25% | 0 | 136 | 263 | 51.71% | 119 | 252 | 47.22% | 108 | 198 | 54.55% | 178 | 113 | 172 | 65 | 129 | 66 | ||
| _Vs Division | 7 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 36 | 23 | 13 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 19 | 13 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 10 | 7 | 12 | 0.857 | 36 | 62 | 98 | 0 | 1 | 16 | 8 | 12 | 0 | 239 | 74 | 82 | 83 | 0 | 211 | 56 | 41 | 135 | 16 | 2 | 12.50% | 13 | 3 | 76.92% | 0 | 136 | 263 | 51.71% | 119 | 252 | 47.22% | 108 | 198 | 54.55% | 157 | 100 | 149 | 56 | 113 | 58 | ||
| 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 |
| 11 | 16 | W4 | 56 | 97 | 153 | 371 | 338 | 103 | 59 | 199 | 0 | 1 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 11 | 8 | 3 | 0 | 0 | 0 | 0 | 56 | 40 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 5 | 3 | 2 | 0 | 0 | 0 | 0 | 22 | 18 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 6 | 5 | 1 | 0 | 0 | 0 | 0 | 34 | 22 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 8 | 2 | 0 | 0 | 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 |
|---|---|---|---|---|---|---|
| 26 | 3 | 11.54% | 22 | 4 | 81.82% | 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 |
|---|---|---|---|---|---|---|---|
| 117 | 133 | 121 | 0 | 21 | 18 | 17 | 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 |
| 136 | 263 | 51.71% | 119 | 252 | 47.22% | 108 | 198 | 54.55% |
| 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 |
| 250 | 161 | 231 | 87 | 177 | 91 |
| 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 | 29,549 | 25,000 | 10,000 | 20,000 | 5,000 |
| Attendance PCT | 98.50% | 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 de l’aréna | Popularité de l’équipe |
| 37 | 17910 - 99.50% | 1,260,980$ | 6,304,900$ | 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 |
| 6,037,688$ | 45,999,218$ | 45,999,218$ | 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 |
|---|---|---|---|---|
| 45,999,218$ | 5,896,668$ | 117,726$ | 21 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 46,656,260$ | 136 | 301,918$ | 41,060,848$ |
| Total de l’équipe estimé | ||
|---|---|---|
| Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
| 44,643,436$ | 425,364,877$ | 430,111,991$ |
| Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
|---|---|---|---|
| 48,961,268$ | 11,038,732$ | 60,000,000$ | 28,961,268$ |
| 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 |
|---|---|---|---|---|---|
| 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 |
|---|