![]() | DETROIT RED WINGS |
| GP: 10 | W: 8 | L: 2 | OTL: 0 | P: 16 GF: 38 | GA: 30 | PP%: 4.76% | PK%: 91.11% DG: Jay W | Morale : 97 | Moyenne d’équipe : 78 Prochains matchs #117 vs LAS CRUCES SPURS |
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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 | Artem Anisimov (C) | X | X | 100.00 | 31 | 1 | 99 | 99 | 93 | 96 | 94 | 99 | 75 | 99 | 99 | 99 | 71 | 99 | 99 | 0 | 88 | 90 | 0 | 38 | 2 | 2,360,798$ | |||
| 2 | Anze Kopitar | X | 100.00 | 32 | 1 | 99 | 97 | 88 | 99 | 99 | 99 | 94 | 99 | 99 | 83 | 82 | 99 | 99 | 0 | 88 | 89 | 2 | 39 | 2 | 2,909,500$ | ||||
| 3 | Jason Robertson | X | X | 100.00 | 70 | 33 | 58 | 88 | 88 | 98 | 98 | 99 | 44 | 99 | 99 | 74 | 55 | 99 | 99 | 0 | 88 | 87 | 2 | 27 | 4 | 2,400,000$ | |||
| 4 | Taylor Hall | X | X | 100.00 | 24 | 1 | 99 | 77 | 79 | 95 | 98 | 99 | 65 | 99 | 99 | 84 | 79 | 99 | 99 | 0 | 88 | 85 | 1 | 34 | 2 | 2,388,750$ | |||
| 5 | Owen Tippett | X | X | 100.00 | 61 | 1 | 99 | 84 | 86 | 94 | 99 | 91 | 44 | 92 | 96 | 67 | 67 | 99 | 94 | 0 | 88 | 83 | 1 | 27 | 4 | 2,125,000$ | |||
| 6 | Nikita Scherbak | X | 100.00 | 99 | 99 | 2 | 67 | 77 | 92 | 83 | 98 | 59 | 85 | 93 | 61 | 64 | 96 | 95 | 0 | 87 | 79 | 2 | 30 | 4 | 1,356,750$ | ||||
| 7 | Boo Nieves | X | X | 100.00 | 96 | 99 | 2 | 59 | 82 | 76 | 85 | 95 | 49 | 92 | 89 | 77 | 56 | 99 | 90 | 0 | 83 | 79 | 2 | 32 | 4 | 1,750,000$ | |||
| 8 | Jason Zucker | X | 100.00 | 99 | 99 | 10 | 63 | 76 | 70 | 80 | 93 | 50 | 92 | 93 | 67 | 59 | 99 | 99 | 0 | 89 | 78 | 2 | 34 | 2 | 1,391,250$ | ||||
| 9 | Mikhail Grigorenko | X | 100.00 | 23 | 12 | 94 | 61 | 81 | 90 | 85 | 86 | 55 | 90 | 96 | 62 | 66 | 92 | 99 | 0 | 88 | 77 | 2 | 32 | 3 | 1,296,338$ | ||||
| 10 | Nail Yakupov | X | 100.00 | 1 | 1 | 99 | 62 | 77 | 96 | 89 | 90 | 46 | 83 | 86 | 68 | 65 | 99 | 99 | 0 | 88 | 76 | 1 | 33 | 3 | 1,619,625$ | ||||
| 11 | Michael Dal Colle | X | 100.00 | 45 | 22 | 82 | 65 | 77 | 73 | 85 | 85 | 45 | 86 | 81 | 71 | 58 | 87 | 89 | 0 | 88 | 74 | 2 | 30 | 4 | 800,000$ | ||||
| 12 | Max Jones | X | 100.00 | 99 | 85 | 35 | 60 | 81 | 67 | 77 | 44 | 52 | 47 | 56 | 71 | 59 | 88 | 82 | 0 | 72 | 62 | 1 | 28 | 2 | 600,000$ | ||||
| 13 | Noah Hanifin | X | 100.00 | 50 | 1 | 99 | 88 | 88 | 95 | 97 | 99 | 50 | 99 | 99 | 64 | 55 | 99 | 99 | 0 | 88 | 83 | 1 | 29 | 4 | 2,298,688$ | ||||
| 14 | Morgan Rielly | X | 100.00 | 3 | 1 | 99 | 77 | 81 | 99 | 96 | 99 | 43 | 99 | 99 | 81 | 51 | 99 | 99 | 0 | 88 | 81 | 2 | 32 | 3 | 2,857,031$ | ||||
| 15 | Adam Clendening | X | 100.00 | 99 | 99 | 1 | 59 | 77 | 86 | 79 | 97 | 50 | 94 | 83 | 70 | 54 | 99 | 99 | 0 | 89 | 78 | 2 | 33 | 1 | 1,067,313$ | ||||
| 16 | Michael Stone | X | 100.00 | 99 | 99 | 1 | 57 | 82 | 79 | 77 | 59 | 64 | 57 | 47 | 96 | 46 | 93 | 93 | 0 | 74 | 74 | 0 | 36 | 2 | 1,121,875$ | ||||
| 17 | Julius Honka | X | 100.00 | 29 | 1 | 99 | 64 | 75 | 80 | 87 | 82 | 45 | 73 | 69 | 81 | 51 | 93 | 86 | 0 | 88 | 72 | 2 | 30 | 5 | 800,000$ | ||||
| 18 | Madison Bowey | X | 100.00 | 7 | 1 | 99 | 59 | 80 | 79 | 80 | 72 | 41 | 78 | 60 | 78 | 44 | 82 | 92 | 0 | 88 | 68 | 2 | 31 | 5 | 600,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | Nick Bjugstad | X | X | 100.00 | 1 | 1 | 99 | 63 | 77 | 96 | 79 | 59 | 59 | 60 | 65 | 55 | 57 | 99 | 97 | 0 | 88 | 64 | 2 | 34 | 2 | 600,000$ | |||
| 2 | Tyler Wotherspoon | X | 100.00 | 38 | 9 | 99 | 58 | 78 | 50 | 77 | 68 | 44 | 61 | 61 | 80 | 43 | 99 | 99 | 0 | 72 | 68 | 2 | 33 | 3 | 600,000$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 50 | 33 | 69 | 70 | 81 | 86 | 87 | 86 | 54 | 84 | 83 | 74 | 59 | 96 | 95 | 0 | 86 | 77 | ||||||||||
| 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 | Carey Price | 100.00 | 57 | 88 | 91 | 84 | 77 | 99 | 99 | 99 | 99 | 97 | 85 | 99 | 99 | 0 | 88 | 89 | 0 | 39 | 2 | 1,824,000$ | |
| 2 | Konstantin Barulin | 100.00 | 60 | 79 | 81 | 75 | 74 | 97 | 92 | 95 | 97 | 80 | 79 | 99 | 82 | 0 | 88 | 83 | 2 | 42 | 3 | 375,000$ | |
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 59 | 84 | 86 | 80 | 76 | 98 | 96 | 97 | 98 | 89 | 82 | 99 | 91 | 0 | 88 | 86 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Peter Laviolette | 87 | 68 | 79 | 77 | 99 | 99 | 8 | USA | 57 | 4 | 1,000,000$ |
| 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 | Artem Anisimov | DETROIT RED WINGS | C/LW | 10 | 8 | 7 | 15 | 5 | 2 | 0 | 8 | 22 | 36 | 12 | 19 | 22.22% | 5 | 242 | 24.27 | 0 | 1 | 1 | 1 | 19 | 1 | 0 | 1 | 2 | 49 | 0 | 0 | 56.62% | 355 | 7 | 1 | 0 | 0 | 1.24 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 1 |
| 2 | Jason Robertson | DETROIT RED WINGS | LW/RW | 10 | 8 | 6 | 14 | 6 | 10 | 0 | 25 | 13 | 42 | 10 | 15 | 19.05% | 4 | 212 | 21.26 | 0 | 0 | 0 | 4 | 19 | 3 | 0 | 3 | 4 | 19 | 1 | 0 | 41.67% | 24 | 9 | 4 | 0 | 0 | 1.32 | 2 | 2 | 0 | 0 | 0 | 1 | 2 | 0 |
| 3 | Owen Tippett | DETROIT RED WINGS | LW/RW | 10 | 3 | 5 | 8 | 4 | 2 | 0 | 13 | 8 | 22 | 3 | 8 | 13.64% | 2 | 190 | 19.07 | 1 | 0 | 1 | 3 | 19 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 41.18% | 17 | 2 | 3 | 0 | 0 | 0.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
| 4 | Anze Kopitar | DETROIT RED WINGS | C | 10 | 6 | 2 | 8 | 0 | 2 | 0 | 12 | 15 | 33 | 11 | 12 | 18.18% | 8 | 203 | 20.34 | 0 | 0 | 0 | 2 | 16 | 0 | 2 | 2 | 0 | 49 | 1 | 0 | 59.38% | 128 | 7 | 1 | 0 | 0 | 0.79 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 0 |
| 5 | Taylor Hall | DETROIT RED WINGS | C/LW | 10 | 0 | 7 | 7 | 0 | 0 | 0 | 11 | 16 | 24 | 6 | 15 | 0% | 3 | 176 | 17.68 | 0 | 0 | 0 | 2 | 16 | 0 | 2 | 2 | 3 | 23 | 0 | 0 | 54.55% | 11 | 4 | 4 | 0 | 0 | 0.79 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 6 | Jason Zucker | DETROIT RED WINGS | LW | 10 | 2 | 5 | 7 | 3 | 50 | 20 | 14 | 10 | 19 | 4 | 8 | 10.53% | 5 | 103 | 10.37 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80.00% | 5 | 3 | 1 | 0 | 0 | 1.35 | 0 | 0 | 1 | 0 | 3 | 0 | 0 | 0 |
| 7 | Morgan Rielly | DETROIT RED WINGS | D | 10 | 0 | 6 | 6 | 7 | 0 | 0 | 0 | 14 | 10 | 3 | 9 | 0% | 24 | 300 | 30.02 | 0 | 0 | 0 | 2 | 20 | 0 | 1 | 1 | 0 | 52 | 0 | 0 | 0% | 0 | 7 | 6 | 0 | 0 | 0.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 8 | Nail Yakupov | DETROIT RED WINGS | RW | 10 | 2 | 3 | 5 | 1 | 0 | 0 | 0 | 6 | 7 | 1 | 6 | 28.57% | 1 | 121 | 12.17 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 33.33% | 3 | 2 | 1 | 0 | 0 | 0.82 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 |
| 9 | Noah Hanifin | DETROIT RED WINGS | D | 10 | 0 | 5 | 5 | 7 | 0 | 0 | 18 | 11 | 17 | 8 | 4 | 0% | 15 | 297 | 29.75 | 0 | 0 | 0 | 1 | 20 | 0 | 0 | 0 | 0 | 51 | 0 | 0 | 0% | 0 | 9 | 9 | 0 | 0 | 0.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10 | Mikhail Grigorenko | DETROIT RED WINGS | C | 10 | 3 | 2 | 5 | 1 | 0 | 0 | 6 | 9 | 20 | 8 | 11 | 15.00% | 4 | 103 | 10.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 44.00% | 50 | 1 | 2 | 0 | 0 | 0.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 11 | Madison Bowey | DETROIT RED WINGS | D | 10 | 1 | 3 | 4 | 1 | 2 | 0 | 0 | 7 | 4 | 1 | 1 | 25.00% | 6 | 139 | 13.96 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 0 | 11 | 0 | 0 | 0% | 0 | 0 | 1 | 0 | 0 | 0.57 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 12 | Michael Dal Colle | DETROIT RED WINGS | LW | 10 | 1 | 2 | 3 | -1 | 2 | 0 | 8 | 3 | 13 | 2 | 10 | 7.69% | 3 | 80 | 8.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 0 | 0 | 0% | 2 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 13 | Boo Nieves | DETROIT RED WINGS | C/LW | 10 | 2 | 1 | 3 | 3 | 108 | 60 | 13 | 7 | 10 | 1 | 7 | 20.00% | 2 | 96 | 9.62 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 47.54% | 61 | 2 | 1 | 0 | 0 | 0.62 | 0 | 0 | 4 | 3 | 5 | 0 | 0 | 0 |
| 14 | Michael Stone | DETROIT RED WINGS | D | 7 | 0 | 2 | 2 | 4 | 48 | 30 | 13 | 8 | 7 | 1 | 2 | 0% | 6 | 116 | 16.63 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0% | 0 | 1 | 0 | 0 | 0 | 0.34 | 0 | 0 | 0 | 2 | 4 | 0 | 0 | 0 |
| 15 | Julius Honka | DETROIT RED WINGS | D | 10 | 0 | 1 | 1 | 1 | 0 | 0 | 2 | 7 | 4 | 2 | 1 | 0% | 9 | 143 | 14.31 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0% | 0 | 0 | 2 | 0 | 0 | 0.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 16 | Nikita Scherbak | DETROIT RED WINGS | RW | 10 | 0 | 1 | 1 | 2 | 16 | 10 | 19 | 7 | 9 | 2 | 11 | 0% | 4 | 137 | 13.72 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 2 | 0 | 0 | 0.15 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 |
| 17 | Adam Clendening | DETROIT RED WINGS | D | 10 | 0 | 1 | 1 | -2 | 54 | 30 | 17 | 11 | 9 | 1 | 3 | 0% | 10 | 179 | 17.91 | 0 | 0 | 0 | 1 | 14 | 0 | 0 | 0 | 0 | 22 | 0 | 0 | 0% | 0 | 3 | 4 | 0 | 0 | 0.11 | 0 | 0 | 3 | 1 | 1 | 0 | 0 | 0 |
| 18 | Tyler Wotherspoon | DETROIT RED WINGS | D | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 3 | 0 | 1 | 0 | 0% | 0 | 30 | 10.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 4 | 0 | 0 | 0.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 19 | Max Jones | DETROIT RED WINGS | LW | 3 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 1 | 1 | 0 | 0 | 0% | 0 | 19 | 6.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 20 | Nick Bjugstad | DETROIT RED WINGS | C/RW | 7 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0% | 0 | 49 | 7.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Statistiques d’équipe totales ou en moyenne | 180 | 36 | 60 | 96 | 41 | 298 | 150 | 184 | 183 | 287 | 77 | 142 | 12.54% | 111 | 2945 | 16.36 | 1 | 1 | 2 | 16 | 190 | 4 | 6 | 10 | 10 | 330 | 6 | 1 | 54.24% | 660 | 57 | 46 | 0 | 0 | 0.65 | 2 | 6 | 9 | 7 | 13 | 7 | 4 | 6 | |||
| 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 | Carey Price | DETROIT RED WINGS | 8 | 7 | 0 | 0 | 0.921 | 2.58 | 465 | 0 | 0 | 20 | 253 | 109 | 0 | 0 | 1.000 | 6 | 7 | 3 | 0 | 1 | 1 |
| 2 | Konstantin Barulin | DETROIT RED WINGS | 3 | 1 | 2 | 0 | 0.877 | 4.20 | 143 | 0 | 0 | 10 | 81 | 29 | 0 | 0 | 0 | 0 | 3 | 7 | 1 | 0 | 0 |
| Statistiques d’équipe totales ou en moyenne | 11 | 8 | 2 | 0 | 0.910 | 2.96 | 609 | 0 | 0 | 30 | 334 | 138 | 0 | 0 | 6 | 10 | 10 | 1 | 1 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Clendening | DETROIT RED WINGS | D | 33 | 1992-10-26 | USA | No | 215 Lbs | 6 ft0 | No | No | Trade | 2025-01-08 | No | No | 1 | 2024-03-30 | False | False | Pro & Farm | 1,067,313$ | 930,478$ | 1,067,313$ | 930,478$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| Anze Kopitar | DETROIT RED WINGS | C | 39 | 1987-08-24 | SVN | No | 239 Lbs | 6 ft3 | No | No | Trade | 2026-01-05 | No | No | 2 | 2026-03-07 | False | False | Pro & Farm | 2,909,500$ | 2,536,487$ | 2,909,500$ | 2,536,487$ | No | 2,909,500$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |
| Artem Anisimov | DETROIT RED WINGS | C/LW | 38 | 1988-05-24 | RUS | No | 213 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | 2025-10-17 | False | False | Pro Only | 2,360,798$ | 2,058,132$ | 2,360,798$ | 2,058,132$ | No | 2,360,798$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Boo Nieves | DETROIT RED WINGS | C/LW | 32 | 1994-09-10 | USA | No | 230 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | 2026-03-07 | False | False | Pro & Farm | 1,750,000$ | 1,525,641$ | 1,750,000$ | 1,525,641$ | No | 1,750,000$ | 1,750,000$ | 1,750,000$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
| Carey Price | DETROIT RED WINGS | G | 39 | 1987-10-16 | CAN | No | 233 Lbs | 6 ft3 | No | No | Trade | 2026-01-05 | No | No | 2 | False | False | Pro Only | 1,824,000$ | 1,590,154$ | 1,824,000$ | 1,590,154$ | No | 1,824,000$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Jason Robertson | DETROIT RED WINGS | LW/RW | 27 | 1999-07-22 | USA | No | 195 Lbs | 6 ft2 | No | No | Trade | 2025-01-08 | No | No | 4 | 2025-03-13 | False | False | Pro Only | 2,400,000$ | 2,092,308$ | 2,400,000$ | 2,092,308$ | No | 2,400,000$ | 2,400,000$ | 2,400,000$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |
| Jason Zucker | DETROIT RED WINGS | LW | 34 | 1992-07-26 | USA | No | 205 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | 2024-02-27 | False | False | Pro & Farm | 1,391,250$ | 1,212,885$ | 1,391,250$ | 1,212,885$ | No | 1,391,250$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Julius Honka | DETROIT RED WINGS | D | 30 | 1995-12-03 | FIN | No | 200 Lbs | 6 ft1 | No | No | N/A | No | No | 5 | 2026-06-06 | False | False | Pro & Farm | 800,000$ | 697,436$ | 800,000$ | 697,436$ | No | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
| Konstantin Barulin | DETROIT RED WINGS | G | 42 | 1984-06-21 | RUS | No | 217 Lbs | 6 ft1 | No | No | Trade | 2026-02-07 | No | No | 3 | 2026-03-07 | False | False | Pro Only | 375,000$ | 326,923$ | 375,000$ | 326,923$ | No | 375,000$ | 375,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |
| Madison Bowey | DETROIT RED WINGS | D | 31 | 1995-04-22 | CAN | No | 225 Lbs | 6 ft2 | No | No | N/A | No | No | 5 | 2026-06-06 | False | False | Pro & Farm | 600,000$ | 523,077$ | 600,000$ | 523,077$ | No | 600,000$ | 600,000$ | 600,000$ | 600,000$ | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
| Max Jones | DETROIT RED WINGS | LW | 28 | 1998-02-17 | USA | No | 223 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | 2025-07-02 | False | False | Pro & Farm | 600,000$ | 523,077$ | 600,000$ | 523,077$ | No | 600,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Michael Dal Colle | DETROIT RED WINGS | LW | 30 | 1996-06-20 | CAN | No | 208 Lbs | 6 ft4 | No | No | N/A | No | No | 4 | 2026-06-06 | False | False | Pro & Farm | 800,000$ | 697,436$ | 800,000$ | 697,436$ | No | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
| Michael Stone | DETROIT RED WINGS | D | 36 | 1990-06-07 | CAN | No | 232 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | 2024-02-27 | False | False | Pro & Farm | 1,121,875$ | 978,045$ | 1,121,875$ | 978,045$ | No | 1,121,875$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Mikhail Grigorenko | DETROIT RED WINGS | C | 32 | 1994-05-16 | RUS | No | 225 Lbs | 6 ft6 | No | No | N/A | No | No | 3 | 2024-02-27 | False | False | Pro & Farm | 1,296,338$ | 1,130,141$ | 1,296,338$ | 1,130,141$ | No | 1,296,338$ | 1,296,338$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Morgan Rielly | DETROIT RED WINGS | D | 32 | 1994-03-09 | CAN | No | 235 Lbs | 6 ft1 | No | No | Trade | 2025-01-27 | No | No | 3 | 2024-02-27 | False | False | Pro Only | 2,857,031$ | 2,490,745$ | 2,857,031$ | 2,490,745$ | No | 2,857,031$ | 2,857,031$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL |
| Nail Yakupov | DETROIT RED WINGS | RW | 33 | 1993-10-06 | RUS | No | 211 Lbs | 6 ft2 | No | No | Waiver | No | No | 3 | 2024-03-14 | False | False | Pro & Farm | 1,619,625$ | 1,411,981$ | 1,619,625$ | 1,411,981$ | No | 1,619,625$ | 1,619,625$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | |
| Nick Bjugstad | DETROIT RED WINGS | C/RW | 34 | 1992-07-10 | NOR | No | 210 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 2 | 2026-09-21 | False | False | Pro & Farm | 600,000$ | 523,077$ | 600,000$ | 523,077$ | No | 600,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Nikita Scherbak | DETROIT RED WINGS | RW | 30 | 1995-12-30 | RUS | No | 202 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | 2025-03-13 | False | False | Pro & Farm | 1,356,750$ | 1,182,808$ | 1,356,750$ | 1,182,808$ | No | 1,356,750$ | 1,356,750$ | 1,356,750$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
| Noah Hanifin | DETROIT RED WINGS | D | 29 | 1997-01-25 | USA | No | 236 Lbs | 6 ft4 | No | No | Trade | 2025-01-08 | No | No | 4 | 2026-03-07 | False | False | Pro Only | 2,298,688$ | 2,003,984$ | 2,298,688$ | 2,003,984$ | No | 2,298,688$ | 2,298,688$ | 2,298,688$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |
| Owen Tippett | DETROIT RED WINGS | LW/RW | 27 | 1999-02-16 | CAN | No | 228 Lbs | 6 ft3 | No | No | Trade | 2025-03-03 | No | No | 4 | 2026-03-07 | False | False | Pro Only | 2,125,000$ | 1,852,564$ | 2,125,000$ | 1,852,564$ | No | 2,125,000$ | 2,125,000$ | 2,125,000$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |
| Taylor Hall | DETROIT RED WINGS | C/LW | 34 | 1991-11-14 | CAN | No | 223 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | 2024-02-10 | False | False | Pro & Farm | 2,388,750$ | 2,082,500$ | 2,388,750$ | 2,082,500$ | No | 2,388,750$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Tyler Wotherspoon | DETROIT RED WINGS | D | 33 | 1993-03-12 | CAN | No | 222 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | 2026-06-06 | False | False | Pro & Farm | 600,000$ | 523,077$ | 600,000$ | 523,077$ | No | 600,000$ | 600,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 22 | 32.86 | 219 Lbs | 6 ft2 | 3.00 | 1,506,451$ |
| Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
|---|---|---|---|---|
| 33,141,918$ | 32,074,605$ | 18,878,432$ | 12,130,438$ | 1,400,000$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Jason Robertson | Artem Anisimov | Owen Tippett | 40 | 1 | 2 | 2 |
| 2 | Taylor Hall | Anze Kopitar | Nail Yakupov | 30 | 1 | 2 | 2 |
| 3 | Jason Zucker | Boo Nieves | Nikita Scherbak | 20 | 1 | 2 | 2 |
| 4 | Michael Dal Colle | Mikhail Grigorenko | Max Jones | 10 | 1 | 2 | 2 |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Noah Hanifin | Morgan Rielly | 40 | 1 | 2 | 2 | |
| 2 | Adam Clendening | Madison Bowey | 30 | 1 | 2 | 2 | |
| 3 | Julius Honka | Michael Stone | 20 | 1 | 2 | 2 | |
| 4 | Noah Hanifin | Morgan Rielly | 10 | 1 | 2 | 2 | |
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Jason Robertson | Artem Anisimov | Owen Tippett | 60 | 1 | 2 | 2 |
| 2 | Taylor Hall | Anze Kopitar | Nail Yakupov | 40 | 1 | 2 | 2 |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Noah Hanifin | Morgan Rielly | 60 | 1 | 2 | 2 | |
| 2 | Adam Clendening | Madison Bowey | 40 | 1 | 2 | 2 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Artem Anisimov | Anze Kopitar | 60 | 1 | 2 | 2 |
| 2 | Jason Robertson | Taylor Hall | 40 | 1 | 2 | 2 |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Noah Hanifin | Morgan Rielly | 60 | 1 | 2 | 2 |
| 2 | Adam Clendening | Julius Honka | 40 | 1 | 2 | 2 |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Artem Anisimov | 60 | 1 | 2 | 2 | Noah Hanifin | Morgan Rielly | 60 | 1 | 2 | 2 |
| 2 | Anze Kopitar | 40 | 1 | 2 | 2 | Adam Clendening | Julius Honka | 40 | 1 | 2 | 2 |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Artem Anisimov | Anze Kopitar | 60 | 1 | 2 | 2 |
| 2 | Jason Robertson | Taylor Hall | 40 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Noah Hanifin | Morgan Rielly | 60 | 1 | 2 | 2 |
| 2 | Adam Clendening | Julius Honka | 40 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Jason Robertson | Artem Anisimov | Owen Tippett | Noah Hanifin | Morgan Rielly |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Jason Robertson | Artem Anisimov | Owen Tippett | Noah Hanifin | Morgan Rielly |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Jason Zucker, Mikhail Grigorenko, Boo Nieves | Jason Zucker, Nikita Scherbak | Mikhail Grigorenko |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Julius Honka, Madison Bowey, Adam Clendening | Julius Honka | Madison Bowey, Adam Clendening |
| Tirs de pénalité |
|---|
| Artem Anisimov, Anze Kopitar, Jason Robertson, Taylor Hall, Owen Tippett |
| Gardien |
|---|
| #1 : Carey Price, #2 : Konstantin Barulin |
| Lignes d’attaque personnalisées en prolongation |
|---|
| Artem Anisimov, Anze Kopitar, Jason Robertson, Taylor Hall, Owen Tippett, Nikita Scherbak, Boo Nieves, Jason Zucker, Mikhail Grigorenko, Nail Yakupov |
| Lignes de défense personnalisées en prolongation |
|---|
| Noah Hanifin, Morgan Rielly, Adam Clendening, Julius Honka, Michael Stone |
| 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 | BANGOR BEAGLES | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 3 | 3 | 0 | 0 | 26 | 10 | 9 | 7 | 0 | 42 | 14 | 15 | 20 | 3 | 0 | 0.00% | 0 | 0 | 0% | 0 | 118 | 230 | 51.30% | 155 | 278 | 55.76% | 85 | 148 | 57.43% | 20 | 12 | 24 | 7 | 15 | 7 | |
| 2 | CHICAGO CRUSHERS | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 13 | 12 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 10 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 6 | 0.750 | 13 | 20 | 33 | 0 | 0 | 3 | 8 | 1 | 1 | 128 | 35 | 41 | 49 | 6 | 131 | 35 | 76 | 71 | 4 | 0 | 0.00% | 19 | 2 | 89.47% | 2 | 118 | 230 | 51.30% | 155 | 278 | 55.76% | 85 | 148 | 57.43% | 84 | 49 | 93 | 37 | 67 | 30 | |
| 3 | LAS CRUCES SPURS | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 23 | 9 | 9 | 5 | 0 | 27 | 11 | 45 | 21 | 0 | 0 | 0% | 5 | 0 | 100.00% | 0 | 118 | 230 | 51.30% | 155 | 278 | 55.76% | 85 | 148 | 57.43% | 16 | 8 | 23 | 9 | 19 | 8 | |
| 4 | PENSACOLA BADGERS | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 8 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 0.500 | 8 | 10 | 18 | 0 | 0 | 1 | 4 | 2 | 1 | 51 | 15 | 25 | 9 | 5 | 73 | 27 | 49 | 30 | 6 | 0 | 0.00% | 12 | 1 | 91.67% | 2 | 118 | 230 | 51.30% | 155 | 278 | 55.76% | 85 | 148 | 57.43% | 39 | 22 | 50 | 18 | 34 | 16 | |
| 5 | PHILADELPHIA MADMEN | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 5 | 2 | 2 | 0 | 59 | 17 | 19 | 23 | 0 | 61 | 24 | 113 | 42 | 8 | 1 | 12.50% | 9 | 1 | 88.89% | 0 | 118 | 230 | 51.30% | 155 | 278 | 55.76% | 85 | 148 | 57.43% | 42 | 24 | 44 | 17 | 33 | 17 | R5 |
| Total | 10 | 6 | 2 | 0 | 0 | 0 | 2 | 0 | 38 | 30 | 8 | 5 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 15 | 16 | -1 | 5 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 23 | 14 | 9 | 16 | 0.800 | 38 | 60 | 98 | 0 | 0 | 13 | 18 | 5 | 2 | 287 | 86 | 103 | 93 | 11 | 334 | 111 | 298 | 184 | 21 | 1 | 4.76% | 45 | 4 | 91.11% | 4 | 118 | 230 | 51.30% | 155 | 278 | 55.76% | 85 | 148 | 57.43% | 203 | 117 | 235 | 91 | 170 | 80 | ||
| _Since Last GM Reset | 10 | 6 | 2 | 0 | 0 | 0 | 2 | 0 | 38 | 30 | 8 | 5 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 15 | 16 | -1 | 5 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 23 | 14 | 9 | 16 | 0.800 | 38 | 60 | 98 | 0 | 0 | 13 | 18 | 5 | 2 | 287 | 86 | 103 | 93 | 11 | 334 | 111 | 298 | 184 | 21 | 1 | 4.76% | 45 | 4 | 91.11% | 4 | 118 | 230 | 51.30% | 155 | 278 | 55.76% | 85 | 148 | 57.43% | 203 | 117 | 235 | 91 | 170 | 80 | ||
| _Vs Conference | 10 | 6 | 2 | 0 | 0 | 0 | 2 | 0 | 38 | 30 | 8 | 5 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 15 | 16 | -1 | 5 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 23 | 14 | 9 | 16 | 0.800 | 38 | 60 | 98 | 0 | 0 | 13 | 18 | 5 | 2 | 287 | 86 | 103 | 93 | 11 | 334 | 111 | 298 | 184 | 21 | 1 | 4.76% | 45 | 4 | 91.11% | 4 | 118 | 230 | 51.30% | 155 | 278 | 55.76% | 85 | 148 | 57.43% | 203 | 117 | 235 | 91 | 170 | 80 | ||
| _Vs Division | 10 | 6 | 2 | 0 | 0 | 0 | 2 | 0 | 38 | 30 | 8 | 5 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 15 | 16 | -1 | 5 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 23 | 14 | 9 | 16 | 0.800 | 38 | 60 | 98 | 0 | 0 | 13 | 18 | 5 | 2 | 287 | 86 | 103 | 93 | 11 | 334 | 111 | 298 | 184 | 21 | 1 | 4.76% | 45 | 4 | 91.11% | 4 | 118 | 230 | 51.30% | 155 | 278 | 55.76% | 85 | 148 | 57.43% | 203 | 117 | 235 | 91 | 170 | 80 | ||
| 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 |
| 10 | 16 | W1 | 38 | 60 | 98 | 287 | 334 | 111 | 298 | 184 | 0 | 0 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 10 | 6 | 2 | 0 | 0 | 2 | 0 | 38 | 30 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 5 | 2 | 2 | 0 | 0 | 1 | 0 | 15 | 16 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 5 | 4 | 0 | 0 | 0 | 1 | 0 | 23 | 14 |
| 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 |
|---|---|---|---|---|---|---|
| 21 | 1 | 4.76% | 45 | 4 | 91.11% | 4 |
| 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 |
|---|---|---|---|---|---|---|---|
| 86 | 103 | 93 | 11 | 13 | 18 | 5 | 2 |
| 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 |
| 118 | 230 | 51.30% | 155 | 278 | 55.76% | 85 | 148 | 57.43% |
| 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 |
| 203 | 117 | 235 | 91 | 170 | 80 |
| 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 | 125 | 75 | 40 | 30 | 250 |
| Assistance | 23,540 | 21,606 | 10,000 | 20,000 | 4,946 |
| Attendance PCT | 78.47% | 86.42% | 100.00% | 100.00% | 98.92% |
| 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 | 16018 - 88.99% | 1,359,890$ | 6,799,450$ | 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 |
| 4,377,160$ | 33,141,918$ | 33,141,918$ | 1,000,000$0$ | 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 |
|---|---|---|---|---|
| 33,141,918$ | 4,248,960$ | 84,780$ | 22 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 50,315,930$ | 136 | 218,858$ | 29,764,688$ |
| Total de l’équipe estimé | ||
|---|---|---|
| Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
| 32,885,972$ | 257,729,965$ | 277,856,413$ |
| Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
|---|---|---|---|
| 35,746,168$ | 24,253,832$ | 60,000,000$ | 15,746,168$ |
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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 |
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| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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| Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| # | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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