OILERS | |
GP: 16 | W: 12 | L: 4 GF: 49 | GA: 31 | PP%: 21.15% | PK%: 84.62% DG: Kenneth Le | Morale : 99 | Moyenne d’équipe : 79 Prochains matchs #99 vs RANGERS |
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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 | Mika Zibanejad (A) | X | 100.00 | 73 | 45 | 86 | 91 | 81 | 89 | 92 | 93 | 74 | 82 | 83 | 89 | 92 | 90 | 90 | 0 | 90 | 83 | 0 | 31 | 1 | 7,250,000$ | ||||
2 | Mark Stone (A) | X | 100.00 | 84 | 44 | 97 | 84 | 97 | 98 | 86 | 88 | 40 | 77 | 75 | 90 | 88 | 99 | 99 | 0 | 90 | 82 | 0 | 32 | 2 | 9,500,000$ | ||||
3 | Jonathan Marchessault | X | X | X | 100.00 | 75 | 55 | 95 | 90 | 79 | 92 | 94 | 90 | 50 | 79 | 84 | 75 | 86 | 90 | 90 | 0 | 93 | 81 | 0 | 33 | 3 | 5,000,000$ | ||
4 | Nick Schmaltz | X | X | 100.00 | 71 | 45 | 97 | 90 | 86 | 92 | 86 | 96 | 70 | 76 | 79 | 72 | 88 | 85 | 85 | 0 | 90 | 80 | 0 | 28 | 1 | 5,500,000$ | |||
5 | Timo Meier | X | X | 100.00 | 80 | 55 | 72 | 88 | 92 | 89 | 87 | 93 | 50 | 78 | 86 | 68 | 89 | 82 | 82 | 0 | 89 | 80 | 0 | 27 | 2 | 6,000,000$ | |||
6 | Jordan Kyrou | X | X | 100.00 | 66 | 45 | 84 | 85 | 81 | 88 | 85 | 92 | 50 | 81 | 82 | 64 | 89 | 80 | 80 | 0 | 93 | 78 | 0 | 26 | 3 | 5,000,000$ | |||
7 | Barrett Hayton | X | X | 100.00 | 73 | 50 | 72 | 82 | 86 | 89 | 83 | 86 | 77 | 78 | 77 | 74 | 82 | 75 | 75 | 0 | 93 | 77 | 0 | 23 | 1 | 1,050,000$ | |||
8 | Nick Paul | X | X | X | 100.00 | 84 | 55 | 79 | 75 | 87 | 95 | 88 | 82 | 81 | 75 | 76 | 80 | 78 | 80 | 80 | 0 | 94 | 77 | 0 | 29 | 4 | 3,150,000$ | ||
9 | Conor Sheary | X | X | 100.00 | 73 | 45 | 84 | 86 | 71 | 86 | 88 | 84 | 55 | 77 | 75 | 77 | 82 | 85 | 85 | 0 | 94 | 77 | 0 | 31 | 2 | 2,800,000$ | |||
10 | Ross Colton | X | 100.00 | 85 | 61 | 70 | 81 | 79 | 83 | 80 | 83 | 86 | 75 | 76 | 72 | 80 | 77 | 77 | 0 | 90 | 76 | 0 | 27 | 1 | 700,000$ | ||||
11 | Eeli Tolvanen | X | 100.00 | 76 | 45 | 89 | 84 | 77 | 85 | 84 | 81 | 50 | 73 | 77 | 71 | 81 | 77 | 77 | 0 | 86 | 75 | 0 | 25 | 2 | 2,250,000$ | ||||
12 | Garnet Hathaway | X | 100.00 | 87 | 66 | 67 | 75 | 85 | 83 | 88 | 78 | 50 | 69 | 73 | 79 | 75 | 85 | 85 | 0 | 68 | 75 | 0 | 32 | 3 | 2,250,000$ | ||||
13 | Roman Josi (C) | X | 100.00 | 66 | 50 | 91 | 86 | 85 | 92 | 90 | 92 | 40 | 87 | 97 | 82 | 87 | 99 | 99 | 0 | 85 | 84 | 0 | 33 | 4 | 9,000,000$ | ||||
14 | Jaccob Slavin | X | 100.00 | 69 | 40 | 94 | 89 | 85 | 92 | 92 | 83 | 40 | 77 | 80 | 83 | 79 | 90 | 90 | 0 | 91 | 81 | 0 | 30 | 4 | 5,500,000$ | ||||
15 | Mikey Anderson | X | 100.00 | 75 | 50 | 73 | 88 | 80 | 88 | 83 | 77 | 40 | 75 | 67 | 85 | 77 | 75 | 75 | 0 | 88 | 78 | 0 | 24 | 1 | 700,000$ | ||||
16 | TJ Brodie | X | 100.00 | 68 | 45 | 89 | 79 | 76 | 90 | 91 | 74 | 40 | 72 | 63 | 87 | 72 | 85 | 85 | 0 | 93 | 78 | 0 | 33 | 2 | 5,000,000$ | ||||
17 | Nick Seeler | X | 100.00 | 76 | 76 | 69 | 78 | 81 | 83 | 86 | 76 | 40 | 70 | 66 | 86 | 73 | 80 | 80 | 0 | 84 | 77 | 0 | 30 | 3 | 1,250,000$ | ||||
18 | Sean Durzi | X | 100.00 | 70 | 61 | 70 | 85 | 80 | 87 | 78 | 84 | 40 | 79 | 84 | 79 | 81 | 76 | 76 | 0 | 83 | 77 | 0 | 25 | 2 | 800,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Christian Dvorak | X | X | 100.00 | 62 | 40 | 92 | 75 | 78 | 87 | 85 | 79 | 78 | 76 | 70 | 74 | 75 | 79 | 79 | 0 | 32 | 73 | 0 | 28 | 2 | 4,450,000$ | |||
2 | Ilya Lyubushkin | X | 100.00 | 76 | 50 | 70 | 76 | 81 | 84 | 83 | 73 | 40 | 72 | 63 | 87 | 71 | 77 | 77 | 0 | 68 | 76 | 0 | 30 | 2 | 1,650,000$ | ||||
3 | Derek Forbort | X | 100.00 | 72 | 55 | 76 | 75 | 83 | 87 | 83 | 72 | 40 | 67 | 80 | 82 | 71 | 80 | 80 | 0 | 25 | 75 | 0 | 32 | 3 | 3,000,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 74 | 51 | 82 | 83 | 82 | 89 | 86 | 84 | 54 | 76 | 77 | 79 | 81 | 83 | 83 | 0 | 82 | 78 |
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 | Akira Schmid | 100.00 | 91 | 75 | 88 | 95 | 88 | 90 | 88 | 92 | 92 | 88 | 82 | 77 | 77 | 0 | 95 | 86 | 0 | 24 | 2 | 600,000$ | |
2 | John Gibson | 100.00 | 85 | 93 | 95 | 86 | 92 | 87 | 83 | 83 | 85 | 91 | 87 | 85 | 85 | 0 | 95 | 85 | 0 | 30 | 1 | 7,000,000$ | |
Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 88 | 84 | 92 | 91 | 90 | 89 | 86 | 88 | 89 | 90 | 85 | 81 | 81 | 0 | 95 | 86 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Jared Bednar | 76 | 90 | 89 | 85 | 75 | 80 | 1 | CAN | 51 | 1 | 5,400,000$ |
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 | Mika Zibanejad | OILERS | C | 16 | 8 | 9 | 17 | 7 | 6 | 0 | 24 | 20 | 68 | 20 | 38 | 11.76% | 10 | 311 | 19.45 | 4 | 3 | 7 | 13 | 46 | 0 | 0 | 0 | 1 | 21 | 2 | 0 | 52.76% | 398 | 9 | 11 | 0 | 0 | 1.09 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 2 |
2 | Timo Meier | OILERS | LW/RW | 16 | 6 | 9 | 15 | 6 | 19 | 5 | 36 | 8 | 52 | 19 | 30 | 11.54% | 5 | 283 | 17.74 | 2 | 5 | 7 | 6 | 46 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 31.82% | 22 | 17 | 4 | 0 | 0 | 1.06 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
3 | Roman Josi | OILERS | D | 16 | 1 | 10 | 11 | 3 | 17 | 15 | 13 | 30 | 47 | 13 | 13 | 2.13% | 26 | 404 | 25.31 | 1 | 2 | 3 | 8 | 47 | 0 | 0 | 0 | 1 | 36 | 0 | 0 | 0% | 0 | 14 | 13 | 0 | 0 | 0.54 | 0 | 0 | 0 | 2 | 1 | 0 | 1 | 0 |
4 | Barrett Hayton | OILERS | C/LW | 16 | 5 | 5 | 10 | 7 | 6 | 0 | 13 | 15 | 47 | 13 | 27 | 10.64% | 6 | 208 | 13.01 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 36.36% | 11 | 6 | 3 | 0 | 0 | 0.96 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 |
5 | Jordan Kyrou | OILERS | C/RW | 16 | 3 | 7 | 10 | -1 | 2 | 0 | 28 | 15 | 44 | 13 | 27 | 6.82% | 8 | 285 | 17.82 | 2 | 5 | 7 | 11 | 46 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 40.00% | 25 | 17 | 2 | 0 | 0 | 0.70 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
6 | Ross Colton | OILERS | C | 16 | 4 | 6 | 10 | 8 | 6 | 0 | 29 | 19 | 26 | 13 | 16 | 15.38% | 3 | 224 | 14.02 | 0 | 2 | 2 | 1 | 34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 166 | 5 | 2 | 0 | 0 | 0.89 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 |
7 | Sean Durzi | OILERS | D | 16 | 1 | 8 | 9 | 11 | 21 | 15 | 18 | 16 | 20 | 1 | 14 | 5.00% | 26 | 298 | 18.65 | 0 | 0 | 0 | 1 | 33 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0% | 0 | 11 | 11 | 0 | 0 | 0.60 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 |
8 | Jonathan Marchessault | OILERS | C/LW/RW | 16 | 2 | 5 | 7 | -1 | 0 | 0 | 20 | 13 | 49 | 15 | 21 | 4.08% | 5 | 299 | 18.73 | 0 | 0 | 0 | 3 | 48 | 0 | 0 | 0 | 2 | 8 | 0 | 0 | 46.15% | 13 | 10 | 9 | 0 | 0 | 0.47 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
9 | TJ Brodie | OILERS | D | 16 | 1 | 6 | 7 | 0 | 2 | 0 | 11 | 20 | 10 | 3 | 4 | 10.00% | 26 | 271 | 16.96 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0 | 0 | 0% | 0 | 0 | 13 | 0 | 0 | 0.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10 | Mark Stone | OILERS | RW | 16 | 3 | 3 | 6 | 6 | 0 | 0 | 15 | 23 | 36 | 13 | 20 | 8.33% | 5 | 309 | 19.32 | 0 | 0 | 0 | 2 | 34 | 0 | 0 | 0 | 2 | 37 | 1 | 0 | 52.63% | 19 | 9 | 8 | 1 | 0 | 0.39 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
11 | Eeli Tolvanen | OILERS | RW | 16 | 4 | 1 | 5 | 7 | 0 | 0 | 17 | 12 | 40 | 5 | 17 | 10.00% | 4 | 228 | 14.30 | 1 | 0 | 1 | 3 | 33 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 22.22% | 9 | 3 | 2 | 0 | 0 | 0.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
12 | Nick Schmaltz | OILERS | C/RW | 16 | 3 | 2 | 5 | -2 | 0 | 0 | 14 | 27 | 34 | 16 | 37 | 8.82% | 5 | 270 | 16.88 | 1 | 0 | 1 | 3 | 34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47.80% | 295 | 10 | 3 | 0 | 0 | 0.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
13 | Nick Paul | OILERS | C/LW/RW | 16 | 3 | 2 | 5 | 0 | 11 | 5 | 13 | 16 | 20 | 9 | 16 | 15.00% | 7 | 180 | 11.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 1 | 1 | 51.35% | 148 | 3 | 6 | 0 | 0 | 0.56 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
14 | Conor Sheary | OILERS | LW/RW | 16 | 2 | 3 | 5 | 0 | 5 | 5 | 7 | 11 | 37 | 15 | 23 | 5.41% | 8 | 166 | 10.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 23 | 1 | 0 | 71.43% | 7 | 2 | 2 | 0 | 0 | 0.60 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
15 | Mikey Anderson | OILERS | D | 16 | 0 | 4 | 4 | 11 | 2 | 0 | 12 | 21 | 17 | 6 | 10 | 0% | 24 | 285 | 17.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0 | 0 | 0% | 0 | 2 | 9 | 0 | 0 | 0.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Jaccob Slavin | OILERS | D | 16 | 1 | 2 | 3 | 2 | 0 | 0 | 7 | 20 | 28 | 9 | 7 | 3.57% | 19 | 322 | 20.13 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 8 | 1 | 0 | 0% | 0 | 6 | 8 | 0 | 0 | 0.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
17 | Nick Seeler | OILERS | D | 16 | 2 | 0 | 2 | -1 | 21 | 5 | 16 | 14 | 13 | 4 | 2 | 15.38% | 14 | 247 | 15.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 0% | 0 | 2 | 5 | 0 | 0 | 0.16 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
18 | Garnet Hathaway | OILERS | RW | 16 | 0 | 0 | 0 | 0 | 30 | 20 | 12 | 7 | 5 | 1 | 2 | 0% | 1 | 136 | 8.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 288 | 49 | 82 | 131 | 63 | 148 | 70 | 305 | 307 | 593 | 188 | 324 | 8.26% | 202 | 4733 | 16.44 | 11 | 18 | 29 | 52 | 414 | 0 | 0 | 0 | 8 | 262 | 12 | 3 | 49.78% | 1115 | 128 | 113 | 1 | 0 | 0.55 | 0 | 0 | 4 | 6 | 4 | 9 | 6 | 9 |
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 | Akira Schmid | OILERS | 15 | 11 | 4 | 0 | 0.940 | 2.07 | 898 | 0 | 0 | 31 | 514 | 223 | 2 | 0 | 0 | 0 | 15 | 1 | 2 | 3 | 3 |
2 | John Gibson | OILERS | 1 | 1 | 0 | 0 | 1.000 | 0 | 60 | 0 | 1 | 0 | 24 | 12 | 0 | 0 | 0 | 0 | 1 | 15 | 1 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 16 | 12 | 4 | 0 | 0.942 | 1.94 | 958 | 0 | 1 | 31 | 538 | 235 | 2 | 0 | 0 | 16 | 16 | 3 | 3 | 3 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | 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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Akira Schmid | OILERS | G | 24 | 2000-05-12 | No | 205 Lbs | 6 ft5 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 600,000$ | 600,000$ | 150,000$ | No | 600,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Barrett Hayton | OILERS | C/LW | 23 | 2000-06-09 | No | 207 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,050,000$ | 1,050,000$ | 262,500$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Christian Dvorak | OILERS | C/LW | 28 | 1996-02-02 | No | 193 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 4,450,000$ | 4,450,000$ | 1,112,500$ | No | 4,450,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Conor Sheary | OILERS | LW/RW | 31 | 1992-06-08 | No | 179 Lbs | 5 ft9 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 2,800,000$ | 2,800,000$ | 700,000$ | No | 2,800,000$ | - | - | - | - | - | - | - | - | 2,800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Derek Forbort | OILERS | D | 32 | 1992-03-04 | No | 208 Lbs | 6 ft4 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 750,000$ | No | 3,000,000$ | 3,000,000$ | - | - | - | - | - | - | - | 500,000$ | 500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Eeli Tolvanen | OILERS | RW | 25 | 1999-04-22 | No | 191 Lbs | 5 ft10 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 2,250,000$ | 2,250,000$ | 562,500$ | No | 2,250,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Garnet Hathaway | OILERS | RW | 32 | 1991-11-23 | No | 208 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 2,250,000$ | 2,250,000$ | 562,500$ | No | 2,250,000$ | 2,250,000$ | - | - | - | - | - | - | - | 500,000$ | 500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Ilya Lyubushkin | OILERS | D | 30 | 1994-04-06 | No | 200 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,650,000$ | 1,650,000$ | 412,500$ | No | 1,650,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Jaccob Slavin | OILERS | D | 30 | 1994-05-01 | No | 207 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 5,500,000$ | 5,500,000$ | 1,375,000$ | No | 5,500,000$ | 5,500,000$ | 5,500,000$ | - | - | - | - | - | - | 500,000$ | 500,000$ | 500,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
John Gibson | OILERS | G | 30 | 1993-07-14 | No | 210 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 7,000,000$ | 7,000,000$ | 1,750,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jonathan Marchessault | OILERS | C/LW/RW | 33 | 1990-12-27 | No | 183 Lbs | 5 ft9 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 5,000,000$ | 5,000,000$ | 1,250,000$ | No | 5,000,000$ | 5,000,000$ | - | - | - | - | - | - | - | 500,000$ | 500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Jordan Kyrou | OILERS | C/RW | 26 | 1998-05-05 | No | 196 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 5,000,000$ | 5,000,000$ | 1,250,000$ | No | 5,000,000$ | 5,000,000$ | - | - | - | - | - | - | - | 500,000$ | 500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Mark Stone | OILERS | RW | 32 | 1992-05-13 | No | 217 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 9,500,000$ | 9,500,000$ | 2,375,000$ | No | 9,500,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Mika Zibanejad | OILERS | C | 31 | 1993-04-18 | No | 202 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 7,250,000$ | 7,250,000$ | 1,812,500$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Mikey Anderson | OILERS | D | 24 | 1999-05-25 | No | 195 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 700,000$ | 175,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Nick Paul | OILERS | C/LW/RW | 29 | 1995-03-20 | No | 223 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 3,150,000$ | 3,150,000$ | 787,500$ | No | 3,150,000$ | 3,150,000$ | 3,150,000$ | - | - | - | - | - | - | 3,150,000$ | 3,150,000$ | 3,150,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien | ||
Nick Schmaltz | OILERS | C/RW | 28 | 1996-02-23 | No | 181 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 5,500,000$ | 5,500,000$ | 1,375,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Nick Seeler | OILERS | D | 30 | 1993-06-03 | No | 201 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,250,000$ | 1,250,000$ | 312,500$ | No | 1,250,000$ | 1,250,000$ | - | - | - | - | - | - | - | 500,000$ | 500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Roman Josi | OILERS | D | 33 | 1990-06-01 | No | 201 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 9,000,000$ | 9,000,000$ | 2,250,000$ | No | 9,000,000$ | 9,000,000$ | 9,000,000$ | - | - | - | - | - | - | 500,000$ | 500,000$ | 500,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Ross Colton | OILERS | C | 27 | 1996-09-11 | No | 194 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 700,000$ | 175,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Sean Durzi | OILERS | D | 25 | 1998-10-21 | No | 195 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 800,000$ | 800,000$ | 200,000$ | No | 800,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
TJ Brodie | OILERS | D | 33 | 1990-06-07 | No | 187 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 5,000,000$ | 5,000,000$ | 1,250,000$ | No | 5,000,000$ | - | - | - | - | - | - | - | - | 5,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Timo Meier | OILERS | LW/RW | 27 | 1996-10-08 | No | 220 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 6,000,000$ | 6,000,000$ | 1,500,000$ | No | 6,000,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
23 | 28.83 | 200 Lbs | 6 ft1 | 2.22 | 3,886,957$ |
Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
---|---|---|---|---|
89,400,000$ | 67,200,000$ | 34,150,000$ | 17,650,000$ | 0$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Timo Meier | Mika Zibanejad | Mark Stone | 30 | 0 | 1 | 4 |
2 | Jonathan Marchessault | Nick Schmaltz | Jordan Kyrou | 30 | 0 | 1 | 4 |
3 | Barrett Hayton | Ross Colton | Eeli Tolvanen | 23 | 1 | 1 | 3 |
4 | Conor Sheary | Nick Paul | Garnet Hathaway | 17 | 1 | 3 | 1 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Roman Josi | Jaccob Slavin | 40 | 0 | 2 | 3 | |
2 | Mikey Anderson | Sean Durzi | 33 | 0 | 3 | 2 | |
3 | TJ Brodie | Nick Seeler | 27 | 1 | 4 | 0 | |
4 | Nick Seeler | Roman Josi | 0 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Timo Meier | Mika Zibanejad | Jordan Kyrou | 65 | 0 | 0 | 5 |
2 | Nick Schmaltz | Ross Colton | Mark Stone | 35 | 0 | 0 | 5 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Roman Josi | Jonathan Marchessault | 65 | 0 | 0 | 5 | |
2 | Eeli Tolvanen | Sean Durzi | 35 | 0 | 0 | 5 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Nick Paul | Mark Stone | 55 | 0 | 5 | 0 |
2 | Mika Zibanejad | Conor Sheary | 45 | 0 | 5 | 0 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Roman Josi | TJ Brodie | 55 | 0 | 5 | 0 |
2 | Mikey Anderson | Nick Seeler | 45 | 0 | 5 | 0 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Mika Zibanejad | 60 | 0 | 5 | 0 | Roman Josi | TJ Brodie | 60 | 0 | 5 | 0 |
2 | Nick Paul | 40 | 0 | 5 | 0 | Mikey Anderson | Nick Seeler | 40 | 0 | 5 | 0 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Mika Zibanejad | Jonathan Marchessault | 60 | 0 | 1 | 4 |
2 | Jordan Kyrou | Timo Meier | 40 | 0 | 1 | 4 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Roman Josi | Jaccob Slavin | 60 | 0 | 2 | 3 |
2 | Mikey Anderson | TJ Brodie | 40 | 0 | 2 | 3 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Timo Meier | Mika Zibanejad | Jonathan Marchessault | Roman Josi | Sean Durzi |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Nick Paul | Mika Zibanejad | Mark Stone | Roman Josi | TJ Brodie |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Barrett Hayton, Jordan Kyrou, Nick Paul | Barrett Hayton, Conor Sheary | Jonathan Marchessault |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Sean Durzi, TJ Brodie, Nick Seeler | Jaccob Slavin | Jaccob Slavin, Sean Durzi |
Tirs de pénalité |
---|
Mika Zibanejad, Timo Meier, Jordan Kyrou, Mark Stone, Roman Josi |
Gardien |
---|
#1 : Akira Schmid, #2 : John Gibson |
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 | BLACKHAWKS | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 20 | 13 | 7 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 8 | 0.667 | 20 | 31 | 51 | 0 | 0 | 4 | 11 | 5 | 0 | 193 | 63 | 73 | 57 | 0 | 206 | 80 | 53 | 101 | 27 | 4 | 14.81% | 14 | 3 | 78.57% | 0 | 230 | 460 | 50.00% | 202 | 422 | 47.87% | 123 | 233 | 52.79% | 133 | 82 | 128 | 51 | 98 | 51 |
2 | DUCKS | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 16 | 13 | 3 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 8 | 0.667 | 16 | 31 | 47 | 0 | 0 | 5 | 5 | 5 | 1 | 238 | 99 | 67 | 70 | 2 | 215 | 80 | 64 | 121 | 14 | 4 | 28.57% | 17 | 3 | 82.35% | 0 | 230 | 460 | 50.00% | 202 | 422 | 47.87% | 123 | 233 | 52.79% | 124 | 77 | 140 | 51 | 95 | 45 |
3 | JETS | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 8 | 1.000 | 13 | 20 | 33 | 0 | 1 | 3 | 5 | 5 | 0 | 162 | 40 | 55 | 67 | 0 | 117 | 42 | 31 | 83 | 11 | 3 | 27.27% | 8 | 0 | 100.00% | 0 | 230 | 460 | 50.00% | 202 | 422 | 47.87% | 123 | 233 | 52.79% | 87 | 51 | 84 | 35 | 68 | 33 |
Total | 16 | 12 | 4 | 0 | 0 | 0 | 0 | 0 | 49 | 31 | 18 | 8 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 25 | 11 | 14 | 8 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 24 | 20 | 4 | 24 | 0.750 | 49 | 82 | 131 | 0 | 1 | 12 | 21 | 15 | 1 | 593 | 202 | 195 | 194 | 2 | 538 | 202 | 148 | 305 | 52 | 11 | 21.15% | 39 | 6 | 84.62% | 0 | 230 | 460 | 50.00% | 202 | 422 | 47.87% | 123 | 233 | 52.79% | 345 | 210 | 353 | 138 | 261 | 130 | |
_Since Last GM Reset | 16 | 12 | 4 | 0 | 0 | 0 | 0 | 0 | 49 | 31 | 18 | 8 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 25 | 11 | 14 | 8 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 24 | 20 | 4 | 24 | 0.750 | 49 | 82 | 131 | 0 | 1 | 12 | 21 | 15 | 1 | 593 | 202 | 195 | 194 | 2 | 538 | 202 | 148 | 305 | 52 | 11 | 21.15% | 39 | 6 | 84.62% | 0 | 230 | 460 | 50.00% | 202 | 422 | 47.87% | 123 | 233 | 52.79% | 345 | 210 | 353 | 138 | 261 | 130 | |
_Vs Conference | 16 | 12 | 4 | 0 | 0 | 0 | 0 | 0 | 49 | 31 | 18 | 8 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 25 | 11 | 14 | 8 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 24 | 20 | 4 | 24 | 0.750 | 49 | 82 | 131 | 0 | 1 | 12 | 21 | 15 | 1 | 593 | 202 | 195 | 194 | 2 | 538 | 202 | 148 | 305 | 52 | 11 | 21.15% | 39 | 6 | 84.62% | 0 | 230 | 460 | 50.00% | 202 | 422 | 47.87% | 123 | 233 | 52.79% | 345 | 210 | 353 | 138 | 261 | 130 | |
_Vs Division | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 16 | 13 | 3 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 8 | 0.667 | 16 | 31 | 47 | 0 | 0 | 5 | 5 | 5 | 1 | 238 | 99 | 67 | 70 | 2 | 215 | 80 | 64 | 121 | 14 | 4 | 28.57% | 17 | 3 | 82.35% | 0 | 230 | 460 | 50.00% | 202 | 422 | 47.87% | 123 | 233 | 52.79% | 124 | 77 | 140 | 51 | 95 | 45 |
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 |
16 | 24 | OTW1 | 49 | 82 | 131 | 593 | 538 | 202 | 148 | 305 | 0 | 1 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
16 | 12 | 4 | 0 | 0 | 0 | 0 | 49 | 31 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
8 | 7 | 1 | 0 | 0 | 0 | 0 | 25 | 11 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
8 | 5 | 3 | 0 | 0 | 0 | 0 | 24 | 20 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
6 | 3 | 1 | 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 |
---|---|---|---|---|---|---|
52 | 11 | 21.15% | 39 | 6 | 84.62% | 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 |
---|---|---|---|---|---|---|---|
202 | 195 | 194 | 2 | 12 | 21 | 15 | 1 |
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 |
230 | 460 | 50.00% | 202 | 422 | 47.87% | 123 | 233 | 52.79% |
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 |
345 | 210 | 353 | 138 | 261 | 130 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
---|---|---|---|---|---|---|---|---|---|---|
1 | 8 | JETS | 2 | OILERS | 4 | W | Sommaire du match | |||
2 | 16 | JETS | 0 | OILERS | 1 | W | Sommaire du match | |||
3 | 24 | OILERS | 5 | JETS | 2 | W | Sommaire du match | |||
4 | 32 | OILERS | 3 | JETS | 1 | W | Sommaire du match | |||
8 | 60 | BLACKHAWKS | 2 | OILERS | 4 | W | Sommaire du match | |||
9 | 64 | BLACKHAWKS | 2 | OILERS | 1 | L | Sommaire du match | |||
10 | 68 | OILERS | 4 | BLACKHAWKS | 2 | W | Sommaire du match | |||
11 | 72 | OILERS | 2 | BLACKHAWKS | 4 | L | Sommaire du match | |||
12 | 76 | BLACKHAWKS | 1 | OILERS | 5 | W | Sommaire du match | |||
13 | 80 | OILERS | 4 | BLACKHAWKS | 2 | W | Sommaire du match | |||
15 | 86 | OILERS | 4 | DUCKS | 3 | W | Sommaire du match | |||
16 | 88 | OILERS | 1 | DUCKS | 4 | L | Sommaire du match | |||
17 | 90 | DUCKS | 1 | OILERS | 4 | W | Sommaire du match | |||
18 | 92 | DUCKS | 2 | OILERS | 4 | W | Sommaire du match | |||
19 | 94 | OILERS | 1 | DUCKS | 2 | L | Sommaire du match | |||
20 | 96 | DUCKS | 1 | OILERS | 2 | W | X | Sommaire du match | ||
22 | 99 | RANGERS | - | OILERS | - | |||||
23 | 100 | RANGERS | - | OILERS | - | |||||
24 | 101 | OILERS | - | RANGERS | - | |||||
25 | 102 | OILERS | - | RANGERS | - | |||||
26 | 103 | RANGERS | - | OILERS | - | |||||
27 | 104 | OILERS | - | RANGERS | - | |||||
28 | 105 | RANGERS | - | OILERS | - |
Capacité de l’aréna - Tendance du prix des billets - % | |||||
---|---|---|---|---|---|
Niveau 1 | Niveau 2 | Niveau 3 | Niveau 4 | Luxe | |
Capacité | 6425 | 5425 | 2425 | 4425 | 1300 |
Prix des billets | 100 | 73 | 50 | 33 | 262 |
Assistance | 51,400 | 43,156 | 19,400 | 35,400 | 10,400 |
Attendance PCT | 100.00% | 99.44% | 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 |
33 | 19970 - 99.85% | 2,384,052$ | 19,072,413$ | 20000 | 100 |
Dépenses | ||||
---|---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
0$ | 89,400,000$ | 21,565,834$ | 0$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Taxe de luxe totale | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|---|
0$ | 0$ | 0$ | 23 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 7 | 0$ | 0$ |
Total de l’équipe estimé | ||
---|---|---|
Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
0$ | 113,504,760$ | 113,504,760$ |
Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
---|---|---|---|
0$ | 99,500,000$ | 99,500,000$ | -28,000,000$ |
Ailier gauche | Centre | Ailier droit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Défense #1 | Défense #2 | Gardien | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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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 |
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Gregory Hofmann EURO | OILERS | 2023 | 0 | |||
Michael Kempny EURO | OILERS | 2023 | 0 |
Année | R1 | R2 | R3 | R4 | R5 |
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2024 | |||||
2025 | |||||
2026 | |||||
2027 | |||||
2028 | |||||
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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