Toronto Marlies | |
GP: 20 | W: 13 | L: 7 GF: 60 | GA: 40 | PP%: 17.65% | PK%: 86.49% DG: Yves Martel | Morale : 99 | Moyenne d’équipe : 66 Prochains matchs #100 vs Harford Wolf Pack |
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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 | Sam Lafferty | 0 | X | X | X | 100.00 | 83 | 53 | 82 | 67 | 76 | 86 | 84 | 66 | 77 | 65 | 64 | 79 | 63 | 69 | 71 | 49 | 94 | 68 | 0 | 28 | 1 | 1,150,000$ | ||
2 | Sam Gagner | 0 | X | X | 100.00 | 55 | 38 | 89 | 69 | 73 | 82 | 84 | 72 | 74 | 66 | 67 | 73 | 70 | 87 | 75 | 47 | 94 | 67 | 0 | 34 | 2 | 1,900,000$ | |||
3 | Jonathan Dahlen | 0 | X | X | X | 100.00 | 56 | 34 | 85 | 74 | 68 | 83 | 79 | 72 | 69 | 66 | 71 | 59 | 76 | 64 | 67 | 72 | 94 | 66 | 0 | 25 | 1 | 700,000$ | ||
4 | Martin Frk | 0 | X | 100.00 | 74 | 39 | 86 | 68 | 79 | 85 | 81 | 67 | 62 | 64 | 70 | 61 | 72 | 70 | 71 | 58 | 94 | 66 | 0 | 29 | 2 | 1,875,000$ | ||||
5 | Rem Pitlick | 0 | X | X | 100.00 | 60 | 39 | 84 | 73 | 70 | 86 | 84 | 69 | 74 | 71 | 66 | 62 | 70 | 66 | 67 | 62 | 75 | 66 | 0 | 26 | 1 | 1,100,000$ | |||
6 | Sam Steel | 0 | X | 100.00 | 59 | 34 | 92 | 71 | 69 | 83 | 85 | 74 | 79 | 70 | 62 | 63 | 68 | 66 | 67 | 75 | 84 | 66 | 0 | 25 | 1 | 850,000$ | ||||
7 | Jay Beagle | 0 | X | X | 100.00 | 70 | 37 | 82 | 61 | 85 | 80 | 78 | 59 | 91 | 60 | 56 | 82 | 57 | 81 | 77 | 22 | 94 | 65 | 0 | 37 | 1 | 1,100,000$ | |||
8 | Josh Leivo | 0 | X | X | 100.00 | 68 | 39 | 88 | 66 | 79 | 81 | 83 | 66 | 63 | 64 | 67 | 61 | 66 | 69 | 72 | 51 | 94 | 65 | 0 | 30 | 1 | 1,000,000$ | |||
9 | Chris Tierney | 0 | X | 100.00 | 65 | 38 | 93 | 64 | 76 | 78 | 84 | 66 | 78 | 68 | 60 | 63 | 65 | 73 | 71 | 57 | 94 | 64 | 0 | 29 | 1 | 775,000$ | ||||
10 | Dylan Gambrell | 0 | X | 100.00 | 70 | 34 | 87 | 63 | 69 | 79 | 84 | 62 | 77 | 60 | 59 | 82 | 61 | 68 | 67 | 57 | 94 | 64 | 0 | 27 | 1 | 775,000$ | ||||
11 | Nolan Patrick | 0 | X | X | 100.00 | 64 | 36 | 86 | 67 | 81 | 79 | 76 | 68 | 82 | 65 | 63 | 58 | 73 | 65 | 69 | 88 | 94 | 64 | 0 | 25 | 3 | 2,000,000$ | |||
12 | Miles Wood | 0 | X | 100.00 | 70 | 42 | 71 | 73 | 79 | 80 | 74 | 67 | 57 | 65 | 66 | 58 | 67 | 71 | 69 | 51 | 93 | 64 | 0 | 28 | 6 | 2,500,000$ | ||||
13 | Colin Miller | 0 | X | 100.00 | 71 | 41 | 84 | 67 | 77 | 88 | 82 | 66 | 30 | 74 | 62 | 65 | 54 | 74 | 73 | 38 | 94 | 67 | 0 | 30 | 1 | 1,850,000$ | ||||
14 | Nathan Beaulieu | 0 | X | 100.00 | 63 | 78 | 74 | 64 | 80 | 82 | 74 | 63 | 30 | 66 | 58 | 75 | 50 | 73 | 74 | 65 | 94 | 67 | 0 | 30 | 3 | 1,400,000$ | ||||
15 | Slater Koekkoek | 0 | X | 100.00 | 68 | 37 | 93 | 67 | 79 | 78 | 71 | 65 | 30 | 67 | 59 | 72 | 53 | 68 | 70 | 71 | 94 | 66 | 0 | 29 | 2 | 1,250,000$ | ||||
16 | Michal Kempny | 0 | X | 100.00 | 72 | 45 | 69 | 63 | 76 | 84 | 67 | 58 | 30 | 62 | 59 | 72 | 50 | 73 | 74 | 27 | 94 | 65 | 0 | 33 | 1 | 1,150,000$ | ||||
17 | Conor Timmins | 0 | X | 100.00 | 69 | 44 | 84 | 69 | 81 | 83 | 66 | 65 | 30 | 71 | 60 | 61 | 52 | 65 | 66 | 74 | 93 | 64 | 0 | 25 | 2 | 1,100,000$ | ||||
18 | Jacob Bernard-Docker | 0 | X | 100.00 | 63 | 39 | 83 | 63 | 72 | 82 | 83 | 62 | 30 | 60 | 58 | 61 | 49 | 63 | 65 | 80 | 36 | 62 | 0 | 23 | 2 | 805,000$ | ||||
Rayé | ||||||||||||||||||||||||||||||
1 | Egor Sokolov | 0 | X | X | 100.00 | 76 | 41 | 82 | 65 | 88 | 85 | 88 | 64 | 67 | 65 | 60 | 63 | 62 | 64 | 65 | 67 | 71 | 64 | 0 | 23 | 1 | 775,000$ | |||
2 | Jean-Luc Foudy | 0 | X | 100.00 | 58 | 38 | 82 | 66 | 68 | 80 | 82 | 63 | 72 | 64 | 58 | 60 | 64 | 61 | 63 | 66 | 47 | 61 | 0 | 21 | 2 | 847,500$ | ||||
3 | Nick Abruzzese | 0 | X | X | 100.00 | 60 | 36 | 92 | 66 | 69 | 80 | 74 | 63 | 69 | 64 | 59 | 60 | 61 | 64 | 66 | 57 | 24 | 61 | 0 | 24 | 2 | 775,000$ | |||
4 | Marc Jonstone | 0 | X | 100.00 | 83 | 48 | 50 | 57 | 95 | 85 | 62 | 60 | 69 | 61 | 50 | 56 | 55 | 69 | 71 | 36 | 24 | 59 | 0 | 27 | 2 | 775,000$ | ||||
5 | Maxime Lajoie (R) | 0 | X | 100.00 | 66 | 40 | 83 | 62 | 77 | 75 | 84 | 59 | 30 | 62 | 58 | 60 | 49 | 66 | 70 | 66 | 84 | 62 | 0 | 25 | 1 | 775,000$ | ||||
6 | Mikko Kokkonen (R) | 0 | X | 100.00 | 63 | 39 | 77 | 54 | 72 | 68 | 66 | 53 | 30 | 55 | 50 | 52 | 45 | 62 | 64 | 65 | 24 | 55 | 0 | 22 | 2 | 846,667$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 67 | 41 | 82 | 66 | 77 | 81 | 78 | 65 | 58 | 65 | 61 | 65 | 61 | 69 | 69 | 58 | 78 | 64 |
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 | Martin Jones | 0 | 99.00 | 89 | 94 | 89 | 87 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 53 | 57 | 52 | 88 | 83 | 0 | 33 | 1 | 875,000$ | |
2 | Thomas Greiss | 0 | 100.00 | 86 | 85 | 79 | 84 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 81 | 90 | 49 | 93 | 83 | 0 | 37 | 1 | 800,000$ | |
Rayé | ||||||||||||||||||||||||
1 | Arvid Soderblom | 0 | 100.00 | 74 | 79 | 78 | 79 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 64 | 71 | 57 | 40 | 72 | 0 | 24 | 2 | 962,500$ | |
2 | Kevin Mandolese | 0 | 100.00 | 73 | 62 | 63 | 82 | 72 | 71 | 73 | 72 | 71 | 73 | 72 | 63 | 69 | 59 | 40 | 70 | 0 | 23 | 1 | 775,000$ | |
3 | Dennis Hildeby (R) | 0 | 100.00 | 57 | 55 | 56 | 91 | 56 | 55 | 57 | 56 | 55 | 57 | 56 | 62 | 67 | 59 | 40 | 60 | 0 | 22 | 2 | 843,333$ | |
MOYENNE D’ÉQUIPE | 99.80 | 76 | 75 | 73 | 85 | 75 | 74 | 76 | 75 | 74 | 76 | 75 | 65 | 71 | 55 | 60 | 74 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
John Gruden | 83 | 63 | 57 | 66 | 72 | 68 | 56 | Usa | 53 | 2 | 800,000$ |
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 | Sam Gagner | Toronto Marlies (TOR) | C/RW | 20 | 7 | 13 | 20 | -1 | 4 | 0 | 18 | 34 | 83 | 13 | 54 | 8.43% | 5 | 440 | 22.02 | 2 | 2 | 4 | 12 | 45 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 37.50% | 40 | 0 | 0 | 0 | 0 | 0.91 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 |
2 | Jonathan Dahlen | Toronto Marlies (TOR) | C/LW/RW | 20 | 8 | 8 | 16 | -1 | 4 | 0 | 17 | 21 | 77 | 17 | 37 | 10.39% | 3 | 450 | 22.50 | 0 | 2 | 2 | 7 | 45 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 45.16% | 31 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 |
3 | Martin Frk | Toronto Marlies (TOR) | RW | 20 | 6 | 9 | 15 | 5 | 4 | 0 | 24 | 21 | 50 | 14 | 36 | 12.00% | 2 | 374 | 18.74 | 0 | 3 | 3 | 6 | 45 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 31.82% | 22 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 |
4 | Slater Koekkoek | Toronto Marlies (TOR) | D | 20 | 6 | 8 | 14 | 6 | 4 | 0 | 6 | 18 | 23 | 12 | 18 | 26.09% | 29 | 431 | 21.57 | 3 | 0 | 3 | 11 | 38 | 0 | 0 | 0 | 0 | 27 | 1 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
5 | Sam Steel | Toronto Marlies (TOR) | C | 20 | 4 | 8 | 12 | 5 | 0 | 0 | 7 | 39 | 49 | 14 | 31 | 8.16% | 3 | 329 | 16.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 52.67% | 374 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
6 | Nathan Beaulieu | Toronto Marlies (TOR) | D | 20 | 1 | 9 | 10 | 5 | 4 | 0 | 34 | 18 | 19 | 8 | 24 | 5.26% | 26 | 505 | 25.30 | 0 | 4 | 4 | 9 | 51 | 0 | 0 | 0 | 0 | 31 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7 | Sam Lafferty | Toronto Marlies (TOR) | C/LW/RW | 20 | 3 | 7 | 10 | 6 | 10 | 0 | 29 | 21 | 46 | 18 | 33 | 6.52% | 4 | 253 | 12.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 1 | 0 | 47.62% | 21 | 0 | 0 | 1 | 0 | 0.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
8 | Jay Beagle | Toronto Marlies (TOR) | C/RW | 20 | 5 | 4 | 9 | 6 | 2 | 0 | 14 | 21 | 35 | 15 | 33 | 14.29% | 4 | 322 | 16.13 | 1 | 0 | 1 | 7 | 46 | 0 | 0 | 0 | 2 | 40 | 2 | 0 | 59.79% | 97 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 |
9 | Colin Miller | Toronto Marlies (TOR) | D | 20 | 1 | 7 | 8 | 5 | 12 | 0 | 38 | 16 | 21 | 10 | 13 | 4.76% | 18 | 505 | 25.29 | 1 | 2 | 3 | 9 | 51 | 0 | 0 | 0 | 0 | 29 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
10 | Josh Leivo | Toronto Marlies (TOR) | LW/RW | 20 | 5 | 3 | 8 | 5 | 0 | 0 | 15 | 28 | 47 | 13 | 37 | 10.64% | 3 | 416 | 20.80 | 2 | 0 | 2 | 9 | 45 | 0 | 0 | 0 | 0 | 38 | 1 | 0 | 43.12% | 109 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 |
11 | Michal Kempny | Toronto Marlies (TOR) | D | 20 | 1 | 7 | 8 | 6 | 12 | 0 | 25 | 8 | 23 | 9 | 14 | 4.35% | 17 | 431 | 21.56 | 0 | 2 | 2 | 10 | 38 | 0 | 0 | 0 | 0 | 27 | 0 | 1 | 0% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
12 | Conor Timmins | Toronto Marlies (TOR) | D | 20 | 3 | 5 | 8 | 5 | 12 | 0 | 18 | 13 | 10 | 4 | 6 | 30.00% | 10 | 313 | 15.69 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 10 | 2 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 |
13 | Chris Tierney | Toronto Marlies (TOR) | C | 20 | 3 | 4 | 7 | 5 | 0 | 0 | 2 | 27 | 24 | 3 | 15 | 12.50% | 1 | 244 | 12.23 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 8 | 2 | 0 | 54.78% | 272 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Dylan Gambrell | Toronto Marlies (TOR) | C | 20 | 4 | 2 | 6 | 7 | 0 | 0 | 8 | 13 | 20 | 6 | 20 | 20.00% | 1 | 149 | 7.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 51.55% | 161 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
15 | Rem Pitlick | Toronto Marlies (TOR) | C/RW | 20 | 1 | 5 | 6 | 6 | 0 | 0 | 8 | 9 | 29 | 4 | 13 | 3.45% | 0 | 129 | 6.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80.00% | 5 | 0 | 0 | 0 | 0 | 0.93 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
16 | Nolan Patrick | Toronto Marlies (TOR) | C/RW | 20 | 1 | 4 | 5 | -1 | 10 | 0 | 43 | 42 | 39 | 10 | 20 | 2.56% | 1 | 433 | 21.69 | 0 | 1 | 1 | 7 | 41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58.19% | 531 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Miles Wood | Toronto Marlies (TOR) | LW | 20 | 1 | 2 | 3 | 6 | 4 | 0 | 9 | 6 | 15 | 13 | 13 | 6.67% | 1 | 128 | 6.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
18 | Jacob Bernard-Docker | Toronto Marlies (TOR) | D | 14 | 0 | 2 | 2 | 4 | 0 | 0 | 15 | 5 | 1 | 1 | 3 | 0% | 15 | 215 | 15.41 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
19 | Maxime Lajoie | Toronto Marlies (TOR) | D | 6 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 1 | 2 | 1 | 2 | 0% | 6 | 92 | 15.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 360 | 60 | 107 | 167 | 80 | 82 | 0 | 336 | 361 | 613 | 185 | 422 | 9.79% | 149 | 6168 | 17.14 | 9 | 16 | 25 | 88 | 457 | 0 | 0 | 0 | 2 | 264 | 13 | 2 | 53.62% | 1669 | 0 | 0 | 1 | 0 | 0.54 | 0 | 0 | 0 | 0 | 0 | 12 | 10 | 12 |
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 | Martin Jones | Toronto Marlies (TOR) | 15 | 9 | 3 | 3 | 0.921 | 1.98 | 940 | 0 | 1 | 31 | 392 | 0 | 0 | 0 | 0 | 0 | 15 | 5 | 2 | 0 | 1 |
2 | Thomas Greiss | Toronto Marlies (TOR) | 5 | 4 | 1 | 0 | 0.922 | 1.76 | 307 | 0 | 1 | 9 | 115 | 0 | 1 | 0 | 0 | 0 | 5 | 15 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 20 | 13 | 4 | 3 | 0.921 | 1.93 | 1247 | 0 | 2 | 40 | 507 | 0 | 1 | 0 | 0 | 20 | 20 | 2 | 0 | 1 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | 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 | Salaire moyen | Salaire moyen restant | Plafond salarial Non Activé | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Arvid Soderblom | Toronto Marlies (TOR) | G | 24 | 1999-08-19 | No | 180 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 962,500$ | 206,250$ | 700,000$ | 150,000$ | 0$ | 0$ | No | 962,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Chris Tierney | Toronto Marlies (TOR) | C | 29 | 1994-07-01 | No | 191 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 166,071$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Colin Miller | Toronto Marlies (TOR) | D | 30 | 1992-10-29 | No | 198 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,850,000$ | 396,429$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Conor Timmins | Toronto Marlies (TOR) | D | 25 | 1998-09-18 18:25:48 | No | 188 Lbs | 7 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,100,000$ | 235,714$ | 0$ | 0$ | No | 1,100,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||||
Dennis Hildeby | Toronto Marlies (TOR) | G | 22 | 2001-08-19 10:53:06 | Yes | 200 Lbs | 8 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 843,333$ | 180,714$ | 750,000$ | 160,714$ | 0$ | 0$ | No | 843,333$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Dylan Gambrell | Toronto Marlies (TOR) | C | 27 | 1996-08-26 | No | 185 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 166,071$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||||
Egor Sokolov | Toronto Marlies (TOR) | LW/RW | 23 | 2000-06-07 | No | 222 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 166,071$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Jacob Bernard-Docker | Toronto Marlies (TOR) | D | 23 | 2000-06-30 | No | 190 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 805,000$ | 172,500$ | 700,000$ | 150,000$ | 0$ | 0$ | No | 805,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Jay Beagle | Toronto Marlies (TOR) | C/RW | 37 | 1985-10-16 | No | 210 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,100,000$ | 235,714$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Jean-Luc Foudy | Toronto Marlies (TOR) | C | 21 | 2002-03-13 | No | 177 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 847,500$ | 181,607$ | 0$ | 0$ | No | 847,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||||
Jonathan Dahlen | Toronto Marlies (TOR) | C/LW/RW | 25 | 1997-12-20 | No | 180 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 150,000$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Josh Leivo | Toronto Marlies (TOR) | LW/RW | 30 | 1993-05-26 | No | 192 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,000,000$ | 214,286$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Kevin Mandolese | Toronto Marlies (TOR) | G | 23 | 2000-08-22 | No | 180 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 166,071$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Marc Jonstone | Toronto Marlies (TOR) | RW | 27 | 1996-06-19 07:40:23 | No | 183 Lbs | 6 ft10 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 775,000$ | 166,071$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||||
Martin Frk | Toronto Marlies (TOR) | RW | 29 | 1993-10-05 | No | 210 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,875,000$ | 401,786$ | 700,000$ | 150,000$ | 0$ | 0$ | No | 1,875,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Martin Jones | Toronto Marlies (TOR) | G | 33 | 1990-01-10 | No | 190 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 875,000$ | 187,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||||
Maxime Lajoie | Toronto Marlies (TOR) | D | 25 | 1997-11-05 10:57:51 | Yes | 185 Lbs | 6 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 166,071$ | 750,000$ | 160,714$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Michal Kempny | Toronto Marlies (TOR) | D | 33 | 1990-09-08 | No | 192 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,150,000$ | 246,429$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Mikko Kokkonen | Toronto Marlies (TOR) | D | 22 | 2001-01-18 11:01:06 | Yes | 183 Lbs | 7 ft7 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 846,667$ | 181,429$ | 750,000$ | 160,714$ | 0$ | 0$ | No | 846,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Miles Wood | Toronto Marlies (TOR) | LW | 28 | 1995-09-13 15:24:28 | No | 188 Lbs | 7 ft4 | No | No | N/A | No | No | 6 | False | False | Pro & Farm | 2,500,000$ | 535,714$ | 700,000$ | 150,000$ | 0$ | 0$ | No | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | - | - | - | - | No | No | No | No | No | - | - | - | - | |||
Nathan Beaulieu | Toronto Marlies (TOR) | D | 30 | 1992-12-05 | No | 200 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Farm Only | 1,400,000$ | 300,000$ | 700,000$ | 150,000$ | 0$ | 0$ | No | 1,400,000$ | 1,400,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Nick Abruzzese | Toronto Marlies (TOR) | C/LW | 24 | 1999-06-04 08:08:35 | No | 180 Lbs | 6 ft11 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 775,000$ | 166,071$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||||
Nolan Patrick | Toronto Marlies (TOR) | C/RW | 25 | 1998-09-19 | No | 201 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 2,000,000$ | 428,571$ | 700,000$ | 150,000$ | 0$ | 0$ | No | 2,000,000$ | 2,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Rem Pitlick | Toronto Marlies (TOR) | C/RW | 26 | 1997-04-02 | No | 196 Lbs | 5 ft11 | No | No | Waiver | No | No | 1 | False | False | Pro & Farm | 1,100,000$ | 235,714$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Sam Gagner | Toronto Marlies (TOR) | C/RW | 34 | 1989-08-10 | No | 197 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,900,000$ | 407,143$ | 700,000$ | 150,000$ | 0$ | 0$ | No | 1,900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Sam Lafferty | Toronto Marlies (TOR) | C/LW/RW | 28 | 1995-03-06 | No | 195 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,150,000$ | 246,429$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||||
Sam Steel | Toronto Marlies (TOR) | C | 25 | 1998-02-03 | No | 184 Lbs | 5 ft11 | No | No | Trade | 2024-02-25 | No | No | 1 | False | False | Pro & Farm | 850,000$ | 182,143$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |||
Slater Koekkoek | Toronto Marlies (TOR) | D | 29 | 1994-02-18 | No | 193 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,250,000$ | 267,857$ | 700,000$ | 150,000$ | 0$ | 0$ | No | 1,250,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Thomas Greiss | Toronto Marlies (TOR) | G | 37 | 1986-01-29 | No | 219 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 171,429$ | 700,000$ | 150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
29 | 27.38 | 193 Lbs | 6 ft5 | 1.69 | 1,114,828$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Jonathan Dahlen | Nolan Patrick | Sam Gagner | 42 | 0 | 1 | 4 |
2 | Josh Leivo | Sam Steel | Martin Frk | 34 | 0 | 1 | 4 |
3 | Sam Lafferty | Chris Tierney | Jay Beagle | 19 | 0 | 4 | 1 |
4 | Miles Wood | Dylan Gambrell | Rem Pitlick | 5 | 1 | 3 | 1 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Colin Miller | Nathan Beaulieu | 42 | 1 | 1 | 3 | |
2 | Slater Koekkoek | Michal Kempny | 34 | 1 | 1 | 3 | |
3 | Conor Timmins | Jacob Bernard-Docker | 19 | 1 | 3 | 1 | |
4 | Colin Miller | Nathan Beaulieu | 5 | 1 | 3 | 1 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Jonathan Dahlen | Jay Beagle | Sam Gagner | 60 | 0 | 0 | 5 |
2 | Josh Leivo | Nolan Patrick | Martin Frk | 40 | 0 | 1 | 4 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Colin Miller | Nathan Beaulieu | 60 | 0 | 2 | 3 | |
2 | Slater Koekkoek | Michal Kempny | 40 | 0 | 2 | 3 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Josh Leivo | Jay Beagle | 60 | 0 | 5 | 0 |
2 | Dylan Gambrell | Sam Lafferty | 40 | 1 | 4 | 0 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Colin Miller | Nathan Beaulieu | 60 | 0 | 5 | 0 |
2 | Slater Koekkoek | Michal Kempny | 40 | 1 | 4 | 0 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Sam Gagner | 60 | 1 | 4 | 0 | Colin Miller | Nathan Beaulieu | 60 | 1 | 4 | 0 |
2 | Jay Beagle | 40 | 1 | 4 | 0 | Slater Koekkoek | Michal Kempny | 40 | 1 | 4 | 0 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Sam Gagner | Jonathan Dahlen | 60 | 1 | 2 | 2 |
2 | Nolan Patrick | Josh Leivo | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Colin Miller | Nathan Beaulieu | 60 | 1 | 2 | 2 |
2 | Slater Koekkoek | Michal Kempny | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Jonathan Dahlen | Sam Gagner | Martin Frk | Colin Miller | Nathan Beaulieu |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Dylan Gambrell | Sam Lafferty | Jay Beagle | Colin Miller | Nathan Beaulieu |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Josh Leivo, Jay Beagle, Sam Lafferty | Josh Leivo, Jay Beagle | Josh Leivo |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Slater Koekkoek, Colin Miller, Nathan Beaulieu | Michal Kempny | Michal Kempny, Conor Timmins |
Tirs de pénalité |
---|
Jonathan Dahlen, Nolan Patrick, Martin Frk, Sam Gagner, Miles Wood |
Gardien |
---|
#1 : Martin Jones, #2 : Thomas Greiss |
Lignes d’attaque personnalisées en prolongation |
---|
Dylan Gambrell, Sam Gagner, Martin Frk, Jonathan Dahlen, Josh Leivo, Jay Beagle, Jay Beagle, Sam Lafferty, Nolan Patrick, Miles Wood, Chris Tierney |
Lignes de défense personnalisées en prolongation |
---|
Colin Miller, Nathan Beaulieu, Slater Koekkoek, Michal Kempny, Conor Timmins |
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 | Canucks d'abbotsford | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 21 | 12 | 9 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 4 | 8 | 8 | 0.667 | 21 | 38 | 59 | 0 | 0 | 18 | 22 | 19 | 1 | 207 | 203 | 196 | 191 | 23 | 152 | 40 | 34 | 95 | 14 | 3 | 21.43% | 15 | 3 | 80.00% | 0 | 386 | 696 | 55.46% | 346 | 667 | 51.87% | 163 | 306 | 53.27% | 518 | 368 | 464 | 146 | 265 | 134 |
2 | Checkers | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 18 | 10 | 8 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 4 | 7 | 8 | 0.667 | 18 | 32 | 50 | 0 | 2 | 18 | 22 | 19 | 1 | 168 | 203 | 196 | 191 | 23 | 146 | 43 | 28 | 113 | 17 | 2 | 11.76% | 12 | 1 | 91.67% | 0 | 386 | 696 | 55.46% | 346 | 667 | 51.87% | 163 | 306 | 53.27% | 518 | 368 | 464 | 146 | 265 | 134 |
3 | Grand Rapids Griffins | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 18 | 17 | 1 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 8 | 0.571 | 18 | 31 | 49 | 0 | 0 | 18 | 22 | 19 | 1 | 214 | 203 | 196 | 191 | 23 | 174 | 57 | 16 | 110 | 19 | 4 | 21.05% | 8 | 1 | 87.50% | 0 | 386 | 696 | 55.46% | 346 | 667 | 51.87% | 163 | 306 | 53.27% | 518 | 368 | 464 | 146 | 265 | 134 |
4 | Harford Wolf Pack | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 18 | 22 | 19 | 1 | 24 | 203 | 196 | 191 | 23 | 35 | 9 | 4 | 18 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 386 | 696 | 55.46% | 346 | 667 | 51.87% | 163 | 306 | 53.27% | 518 | 368 | 464 | 146 | 265 | 134 |
Total | 20 | 13 | 7 | 0 | 0 | 0 | 0 | 0 | 60 | 40 | 20 | 11 | 7 | 4 | 0 | 0 | 0 | 0 | 0 | 30 | 24 | 6 | 9 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 30 | 16 | 14 | 26 | 0.650 | 60 | 107 | 167 | 0 | 2 | 18 | 22 | 19 | 1 | 613 | 203 | 196 | 191 | 23 | 507 | 149 | 82 | 336 | 51 | 9 | 17.65% | 37 | 5 | 86.49% | 0 | 386 | 696 | 55.46% | 346 | 667 | 51.87% | 163 | 306 | 53.27% | 518 | 368 | 464 | 146 | 265 | 134 | |
_Since Last GM Reset | 20 | 13 | 7 | 0 | 0 | 0 | 0 | 0 | 60 | 40 | 20 | 11 | 7 | 4 | 0 | 0 | 0 | 0 | 0 | 30 | 24 | 6 | 9 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 30 | 16 | 14 | 26 | 0.650 | 60 | 107 | 167 | 0 | 2 | 18 | 22 | 19 | 1 | 613 | 203 | 196 | 191 | 23 | 507 | 149 | 82 | 336 | 51 | 9 | 17.65% | 37 | 5 | 86.49% | 0 | 386 | 696 | 55.46% | 346 | 667 | 51.87% | 163 | 306 | 53.27% | 518 | 368 | 464 | 146 | 265 | 134 | |
_Vs Conference | 19 | 12 | 7 | 0 | 0 | 0 | 0 | 0 | 57 | 39 | 18 | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 27 | 23 | 4 | 9 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 30 | 16 | 14 | 24 | 0.632 | 57 | 101 | 158 | 0 | 2 | 18 | 22 | 19 | 1 | 589 | 203 | 196 | 191 | 23 | 472 | 140 | 78 | 318 | 50 | 9 | 18.00% | 35 | 5 | 85.71% | 0 | 386 | 696 | 55.46% | 346 | 667 | 51.87% | 163 | 306 | 53.27% | 518 | 368 | 464 | 146 | 265 | 134 |
Total pour les joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
20 | 26 | W2 | 60 | 107 | 167 | 613 | 507 | 149 | 82 | 336 | 0 | 2 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
20 | 13 | 7 | 0 | 0 | 0 | 0 | 60 | 40 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
11 | 7 | 4 | 0 | 0 | 0 | 0 | 30 | 24 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
9 | 6 | 3 | 0 | 0 | 0 | 0 | 30 | 16 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
6 | 2 | 1 | 1 | 0 | 0 |
Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
---|---|---|---|---|---|---|
51 | 9 | 17.65% | 37 | 5 | 86.49% | 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 |
---|---|---|---|---|---|---|---|
203 | 196 | 191 | 23 | 18 | 22 | 19 | 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 |
386 | 696 | 55.46% | 346 | 667 | 51.87% | 163 | 306 | 53.27% |
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 |
518 | 368 | 464 | 146 | 265 | 134 |
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 | |
Capacité | 2000 | 1000 |
Prix des billets | 35 | 0 |
Assistance | 22,000 | 11,000 |
Assistance PCT | 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 |
-6 | 3000 - 100.00% | 87,500$ | 962,500$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
0$ | 3,233,000$ | 1,485,000$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 6 | 0$ | 0$ |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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