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 | Jesper Bratt | 0 | X | 100.00 | 59 | 38 | 87 | 76 | 65 | 82 | 85 | 74 | 56 | 75 | 70 | 59 | 78 | 63 | 64 | 59 | 99 | 71 | 0 | 22 | 5 | 2,000,000$ | ||||
2 | Nick Paul | 0 | X | 100.00 | 79 | 47 | 86 | 65 | 87 | 77 | 72 | 65 | 78 | 66 | 63 | 67 | 65 | 69 | 66 | 59 | 99 | 70 | 0 | 25 | 3 | 750,000$ | ||||
3 | Martin Necas (R) | 0 | X | 100.00 | 63 | 39 | 88 | 71 | 78 | 80 | 77 | 69 | 70 | 68 | 67 | 63 | 72 | 62 | 66 | 85 | 99 | 70 | 0 | 21 | 3 | 750,000$ | ||||
4 | Dmytro Timashov (R) | 0 | X | 100.00 | 72 | 39 | 88 | 67 | 69 | 77 | 80 | 65 | 58 | 63 | 66 | 64 | 68 | 67 | 65 | 57 | 99 | 69 | 0 | 23 | 3 | 750,000$ | ||||
5 | Pierre Engvall | 0 | X | 100.00 | 69 | 48 | 89 | 66 | 92 | 75 | 73 | 65 | 61 | 63 | 64 | 66 | 68 | 67 | 63 | 59 | 99 | 69 | 0 | 24 | 6 | 1,500,000$ | ||||
6 | Anders Bjork | 0 | X | 100.00 | 62 | 40 | 88 | 64 | 72 | 74 | 75 | 62 | 60 | 65 | 61 | 63 | 62 | 67 | 64 | 58 | 99 | 67 | 0 | 24 | 4 | 1,400,000$ | ||||
7 | Valentin Zykov (R) | 0 | X | X | 100.00 | 64 | 45 | 82 | 63 | 78 | 80 | 75 | 62 | 53 | 58 | 61 | 59 | 64 | 69 | 65 | 73 | 99 | 66 | 0 | 25 | 3 | 750,000$ | |||
8 | Joshua Ho-Sang | 0 | X | X | 100.00 | 57 | 39 | 89 | 66 | 69 | 78 | 75 | 64 | 59 | 62 | 58 | 61 | 66 | 67 | 64 | 78 | 99 | 66 | 0 | 24 | 1 | 900,000$ | |||
9 | Kevin Roy | 0 | X | 100.00 | 54 | 38 | 86 | 62 | 64 | 80 | 77 | 63 | 54 | 61 | 58 | 60 | 64 | 73 | 67 | 53 | 99 | 65 | 0 | 27 | 3 | 850,000$ | ||||
10 | Alexandre Fortin | 0 | X | 100.00 | 58 | 43 | 89 | 61 | 71 | 80 | 76 | 59 | 54 | 57 | 58 | 56 | 61 | 65 | 63 | 62 | 99 | 64 | 0 | 23 | 4 | 800,000$ | ||||
11 | Lukas Sedlak | 0 | X | 100.00 | 72 | 35 | 71 | 64 | 75 | 73 | 60 | 63 | 73 | 62 | 63 | 66 | 63 | 56 | 52 | 47 | 99 | 64 | 0 | 27 | 1 | 750,000$ | ||||
12 | Matt Grzelcyk | 0 | X | 100.00 | 64 | 42 | 73 | 70 | 64 | 84 | 86 | 68 | 30 | 74 | 59 | 72 | 53 | 71 | 66 | 58 | 99 | 71 | 0 | 26 | 2 | 2,400,000$ | ||||
13 | Mike Reilly | 0 | X | 100.00 | 68 | 39 | 83 | 66 | 77 | 84 | 78 | 64 | 30 | 74 | 57 | 63 | 50 | 73 | 68 | 53 | 99 | 70 | 0 | 27 | 1 | 1,500,000$ | ||||
14 | Sami Niku | 0 | X | 100.00 | 58 | 42 | 88 | 66 | 73 | 75 | 69 | 64 | 30 | 65 | 58 | 63 | 54 | 67 | 64 | 56 | 99 | 66 | 0 | 23 | 6 | 800,000$ | ||||
15 | Sebastian D Aho | 0 | X | 100.00 | 50 | 89 | 64 | 70 | 64 | 50 | 50 | 70 | 30 | 51 | 46 | 51 | 56 | 51 | 50 | 56 | 99 | 55 | 0 | 24 | 6 | 800,000$ | ||||
Rayé | ||||||||||||||||||||||||||||||
MOYENNE D'ÉQUIPE | 100.00 | 63 | 44 | 83 | 66 | 73 | 77 | 74 | 65 | 53 | 64 | 61 | 62 | 63 | 66 | 63 | 61 | 99 | 67 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Michael Hutchinson | 100.00 | 76 | 69 | 67 | 83 | 75 | 74 | 76 | 75 | 74 | 76 | 75 | 78 | 84 | 52 | 99 | 69 | 0 | |
2 | Ukko-Pekka Luukkonen (R) | 100.00 | 72 | 56 | 54 | 86 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 61 | 65 | 71 | 99 | 63 | 0 | |
Rayé | ||||||||||||||||||||
MOYENNE D'ÉQUIPE | 100.00 | 74 | 63 | 61 | 85 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 70 | 75 | 62 | 99 | 66 |
Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Jeff Daniels | 69 | 69 | 69 | 69 | 73 | 73 | 66 | CAN | 53 | 2 | 300,000$ |
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 | Mike Reilly | HERSEY Bears (WSH) | D | 1 | 0 | 2 | 2 | -1 | 2 | 0 | 0 | 1 | 12 | 1 | 5 | 0.00% | 2 | 28 | 28.47 | 0 | 1 | 1 | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 1.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2 | Valentin Zykov | HERSEY Bears (WSH) | LW/RW | 1 | 0 | 2 | 2 | -1 | 0 | 0 | 2 | 1 | 7 | 5 | 8 | 0.00% | 4 | 27 | 27.73 | 0 | 1 | 1 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 2 | 0 | 0 | 0 | 1.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3 | Nick Paul | HERSEY Bears (WSH) | LW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 2 | 1 | 3 | 0.00% | 0 | 16 | 16.72 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 2 | 2 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4 | Lukas Sedlak | HERSEY Bears (WSH) | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 3 | 2 | 0.00% | 0 | 9 | 9.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 86.67% | 15 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5 | Joshua Ho-Sang | HERSEY Bears (WSH) | LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 1 | 3 | 1 | 0 | 0.00% | 0 | 16 | 16.72 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 3 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6 | Dmytro Timashov | HERSEY Bears (WSH) | LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 5 | 2 | 0.00% | 0 | 19 | 19.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7 | Martin Necas | HERSEY Bears (WSH) | C | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 2 | 7 | 1 | 1 | 0.00% | 2 | 16 | 16.72 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 73.53% | 34 | 1 | 1 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Stats d'équipe Total ou en Moyenne | 7 | 0 | 4 | 4 | -5 | 2 | 0 | 4 | 6 | 42 | 17 | 21 | 0.00% | 8 | 135 | 19.36 | 0 | 2 | 2 | 10 | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75.93% | 54 | 8 | 6 | 0 | 0 | 0.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du 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 | Michael Hutchinson | HERSEY Bears (WSH) | 1 | 0 | 1 | 0 | 0.909 | 4.00 | 60 | 0 | 0 | 4 | 44 | 22 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
Stats d'équipe Total ou en Moyenne | 1 | 0 | 1 | 0 | 0.909 | 4.00 | 60 | 0 | 0 | 4 | 44 | 22 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Nom du Joueur | Nom de l'Équipe | POS | Âge | Date de Naissance | Nouveau Joueur | Poids | Taille | Non-Échange | Disponible pour Échange | Ballotage Forcé | Contrat | Type | Salaire Actuel | Salaire Restant | Salaire Moyen | Salaire Moyen Restant | Cap Salariale | Cap Salariale Restant | Exclus du Cap 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 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexandre Fortin | HERSEY Bears (WSH) | LW | 23 | 2/25/1997 | No | 84 Kg | 183 CM | No | No | No | 4 | Pro & Farm | 800,000$ | 786,441$ | 750,000$ | 737,288$ | 0$ | 0$ | No | 800,000$ | 800,000$ | 800,000$ | Lien | ||||||
Anders Bjork | HERSEY Bears (WSH) | LW | 24 | 8/5/1996 | No | 86 Kg | 183 CM | No | No | No | 4 | Pro & Farm | 1,400,000$ | 1,376,271$ | 750,000$ | 737,288$ | 0$ | 0$ | No | 1,400,000$ | 1,400,000$ | 1,400,000$ | Lien | ||||||
Dmytro Timashov | HERSEY Bears (WSH) | LW | 23 | 10/1/1996 | Yes | 87 Kg | 178 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 737,288$ | 750,000$ | 737,288$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Jesper Bratt | HERSEY Bears (WSH) | LW | 22 | 7/30/1998 | No | 80 Kg | 178 CM | No | No | No | 5 | Pro & Farm | 2,000,000$ | 1,966,102$ | 2,000,000$ | 1,966,102$ | 0$ | 0$ | No | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | Lien | |||||
Joshua Ho-Sang | HERSEY Bears (WSH) | LW/RW | 24 | 1/22/1996 | No | 79 Kg | 183 CM | No | No | No | 1 | Pro & Farm | 900,000$ | 884,746$ | 900,000$ | 884,746$ | 0$ | 0$ | No | Lien | |||||||||
Kevin Roy | HERSEY Bears (WSH) | LW | 27 | 5/20/1993 | No | 78 Kg | 175 CM | No | No | No | 3 | Pro & Farm | 850,000$ | 835,593$ | 750,000$ | 737,288$ | 0$ | 0$ | No | 850,000$ | 850,000$ | Lien | |||||||
Lukas Sedlak | HERSEY Bears (WSH) | C | 27 | 2/25/1993 | No | 93 Kg | 183 CM | No | No | No | 1 | Pro & Farm | 750,000$ | 737,288$ | 750,000$ | 737,288$ | 0$ | 0$ | No | Lien | |||||||||
Martin Necas | HERSEY Bears (WSH) | C | 21 | 1/15/1999 | Yes | 86 Kg | 188 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 737,288$ | 750,000$ | 737,288$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Matt Grzelcyk | HERSEY Bears (WSH) | D | 26 | 1/5/1994 | No | 79 Kg | 175 CM | No | No | No | 2 | Pro & Farm | 2,400,000$ | 2,359,322$ | 750,000$ | 737,288$ | 0$ | 0$ | No | 2,400,000$ | Lien | ||||||||
Michael Hutchinson | HERSEY Bears (WSH) | G | 30 | 3/2/1990 | No | 90 Kg | 191 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 737,288$ | 750,000$ | 737,288$ | 0$ | 0$ | No | 750,000$ | 750,000$ | Lien | |||||||
Mike Reilly | HERSEY Bears (WSH) | D | 27 | 7/13/1993 | No | 91 Kg | 185 CM | No | No | No | 1 | Pro & Farm | 1,500,000$ | 1,474,576$ | 1,500,000$ | 1,474,576$ | 0$ | 0$ | No | Lien | |||||||||
Nick Paul | HERSEY Bears (WSH) | LW | 25 | 3/20/1995 | No | 100 Kg | 191 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 737,288$ | 750,000$ | 737,288$ | 0$ | 0$ | No | 750,000$ | 750,000$ | Lien | |||||||
Pierre Engvall | HERSEY Bears (WSH) | LW | 24 | 5/31/1996 | No | 97 Kg | 196 CM | No | No | No | 6 | Pro & Farm | 1,500,000$ | 1,474,576$ | 750,000$ | 737,288$ | 0$ | 0$ | No | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | Lien | ||||
Sami Niku | HERSEY Bears (WSH) | D | 23 | 10/10/1996 | No | 80 Kg | 185 CM | No | No | No | 6 | Pro & Farm | 800,000$ | 786,441$ | 750,000$ | 737,288$ | 0$ | 0$ | No | 800,000$ | 800,000$ | 800,000$ | 800,000$ | 800,000$ | Lien | ||||
Sebastian D Aho | HERSEY Bears (WSH) | D | 24 | 2/17/1996 | No | 77 Kg | 178 CM | No | No | No | 6 | Pro & Farm | 800,000$ | 786,441$ | 750,000$ | 737,288$ | 0$ | 0$ | No | 800,000$ | 800,000$ | 800,000$ | 800,000$ | 800,000$ | Lien | ||||
Ukko-Pekka Luukkonen | HERSEY Bears (WSH) | G | 21 | 3/9/1999 | Yes | 89 Kg | 193 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 737,288$ | 750,000$ | 737,288$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Valentin Zykov | HERSEY Bears (WSH) | LW/RW | 25 | 5/15/1995 | Yes | 100 Kg | 183 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 737,288$ | 750,000$ | 737,288$ | 0$ | 0$ | No | 750,000$ | 750,000$ |
Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
---|---|---|---|---|---|
17 | 24.47 | 87 Kg | 183 CM | 3.35 | 1,070,588$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Valentin Zykov | 31 | 1 | 2 | 2 | ||
2 | Nick Paul | Martin Necas | Joshua Ho-Sang | 26 | 1 | 2 | 2 |
3 | Dmytro Timashov | Lukas Sedlak | Valentin Zykov | 23 | 1 | 2 | 2 |
4 | Valentin Zykov | 20 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Mike Reilly | 31 | 1 | 2 | 2 | ||
2 | 26 | 1 | 2 | 2 | |||
3 | 23 | 1 | 2 | 2 | |||
4 | Mike Reilly | 20 | 1 | 2 | 2 |
Attaque en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Valentin Zykov | 55 | 1 | 2 | 2 | ||
2 | Nick Paul | Martin Necas | Joshua Ho-Sang | 45 | 1 | 2 | 2 |
Défense en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Mike Reilly | 55 | 1 | 2 | 2 | ||
2 | 45 | 1 | 2 | 2 |
Attaque à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | Martin Necas | Nick Paul | 45 | 1 | 2 | 2 |
Défense à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Mike Reilly | 55 | 1 | 2 | 2 | |
2 | 45 | 1 | 2 | 2 |
3 joueurs en Désavantage Numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % Temps | PHY | DF | OF | Défense | Défense | % Temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | Mike Reilly | 55 | 1 | 2 | 2 | ||
2 | Martin Necas | 45 | 1 | 2 | 2 | 45 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | Martin Necas | Nick Paul | 45 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Mike Reilly | 55 | 1 | 2 | 2 | |
2 | 45 | 1 | 2 | 2 |
Attaque Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Valentin Zykov | Mike Reilly |
Défense Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Valentin Zykov | Mike Reilly |
Attaquants Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Dmytro Timashov, , Valentin Zykov | Dmytro Timashov, | Dmytro Timashov |
Défenseurs Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
, , | , |
Tirs de Pénalité |
---|
, , Nick Paul, Martin Necas, Dmytro Timashov |
Gardien |
---|
#1 : Michael Hutchinson, #2 : Ukko-Pekka Luukkonen |
Lignes d'Attaque Perso. en Prol. |
---|
, , Nick Paul, Martin Necas, Dmytro Timashov, , , Valentin Zykov, Joshua Ho-Sang, , |
Lignes de Défense Perso. en Prol. |
---|
, Mike Reilly, , , |
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 |
Ligue | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | 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 | TORONTO Marlies | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 48 | 13 | 18 | 17 | 0 | 44 | 15 | 4 | 15 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 23 | 29 | 79.31% | 18 | 27 | 66.67% | 11 | 17 | 64.71% | 26 | 17 | 18 | 6 | 15 | 8 |
Total | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 48 | 13 | 18 | 17 | 0 | 44 | 15 | 4 | 15 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 23 | 29 | 79.31% | 18 | 27 | 66.67% | 11 | 17 | 64.71% | 26 | 17 | 18 | 6 | 15 | 8 | |
_Since Last GM Reset | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 48 | 13 | 18 | 17 | 0 | 44 | 15 | 4 | 15 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 23 | 29 | 79.31% | 18 | 27 | 66.67% | 11 | 17 | 64.71% | 26 | 17 | 18 | 6 | 15 | 8 | |
_Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 48 | 13 | 18 | 17 | 0 | 44 | 15 | 4 | 15 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 23 | 29 | 79.31% | 18 | 27 | 66.67% | 11 | 17 | 64.71% | 26 | 17 | 18 | 6 | 15 | 8 |
Total Pour les Joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs Joués | Points | Séquence | Buts | Passes | Points | Tirs Pour | Tirs Contre | Tirs Bloqués | Minutes de Pénalité | Mises en Échec | Buts en Filet Désert | Blanchissage |
1 | 0 | L1 | 2 | 4 | 6 | 48 | 44 | 15 | 4 | 15 | 0 | 0 |
Tous les Matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 4 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 4 |
Matchs Éxtérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Derniers 10 Matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 1 | 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 |
---|---|---|---|---|---|---|
5 | 1 | 20.00% | 2 | 1 | 50.00% | 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 |
---|---|---|---|---|---|---|---|
13 | 18 | 17 | 0 | 0 | 1 | 1 | 0 |
Mises en Jeu | ||||||||
---|---|---|---|---|---|---|---|---|
Gagnées en Zone Offensive | Total en Zone Offensive | % Gagnées en Zone Offensive | Gagnées en Zone Défensive | Total en Zone Défensive | % Gagnées en Zone Défensive | Gagnées en Zone Neutre | Total en Zone Neutre | % Gagnées en Zone Neutre |
23 | 29 | 79.31% | 18 | 27 | 66.67% | 11 | 17 | 64.71% |
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 |
26 | 17 | 18 | 6 | 15 | 8 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Capacité de l'Aréna - Tendance du Prix des Billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité de l'Aréna | 2000 | 1000 |
Prix des Billets | 35 | 15 |
Assistance | 0 | 0 |
Assistance PCT | 0.00% | 0.00% |
Revenus | |||||
---|---|---|---|---|---|
Matchs à domicile Restants | Assistance Moyenne - % | Revenus Moyen par Match | Revenus Annuels à ce Jour | Capacité de l'Aréna | Popularité de l'Équipe |
39 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses Annuelles à Ce Jour | Salaire Total des Joueurs | Salaire Total Moyen des Joueurs | Salaire des Coachs |
30,848$ | 1,820,000$ | 1,490,000$ | 0$ |
Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
---|---|---|---|
0$ | 30,848$ | 0 | 0 |
Éstimation | |||
---|---|---|---|
Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
0$ | 116 | 15,424$ | 1,789,184$ |
Ligue | 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 |
Saison Régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
34 | 80 | 35 | 28 | 0 | 7 | 2 | 6 | 2 | 240 | 173 | 67 | 40 | 18 | 12 | 0 | 4 | 1 | 4 | 1 | 126 | 92 | 34 | 40 | 17 | 16 | 0 | 3 | 1 | 2 | 1 | 114 | 81 | 33 | 100 | 240 | 428 | 668 | 2 | 10 | 101 | 67 | 59 | 13 | 2339 | 751 | 790 | 759 | 65 | 2042 | 549 | 439 | 1242 | 269 | 45 | 16.73% | 186 | 34 | 81.72% | 3 | 1354 | 2551 | 53.08% | 1156 | 2361 | 48.96% | 575 | 1147 | 50.13% | 2117 | 1528 | 1742 | 547 | 1002 | 521 |
34 | 80 | 35 | 28 | 0 | 7 | 2 | 6 | 2 | 240 | 173 | 67 | 40 | 18 | 12 | 0 | 4 | 1 | 4 | 1 | 126 | 92 | 34 | 40 | 17 | 16 | 0 | 3 | 1 | 2 | 1 | 114 | 81 | 33 | 100 | 240 | 428 | 668 | 2 | 10 | 101 | 67 | 59 | 13 | 2339 | 751 | 790 | 759 | 65 | 2042 | 549 | 439 | 1242 | 269 | 45 | 16.73% | 186 | 34 | 81.72% | 3 | 1354 | 2551 | 53.08% | 1156 | 2361 | 48.96% | 575 | 1147 | 50.13% | 2117 | 1528 | 1742 | 547 | 1002 | 521 |
36 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 48 | 13 | 18 | 17 | 0 | 44 | 15 | 4 | 15 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 23 | 29 | 79.31% | 18 | 27 | 66.67% | 11 | 17 | 64.71% | 26 | 17 | 18 | 6 | 15 | 8 |
Total Saison Régulière | 161 | 70 | 57 | 0 | 14 | 4 | 12 | 4 | 482 | 350 | 132 | 81 | 36 | 25 | 0 | 8 | 2 | 8 | 2 | 254 | 188 | 66 | 80 | 34 | 32 | 0 | 6 | 2 | 4 | 2 | 228 | 162 | 66 | 200 | 482 | 860 | 1342 | 4 | 20 | 202 | 135 | 119 | 26 | 4726 | 1515 | 1598 | 1535 | 130 | 4128 | 1113 | 882 | 2499 | 543 | 91 | 16.76% | 374 | 69 | 81.55% | 6 | 2731 | 5131 | 53.23% | 2330 | 4749 | 49.06% | 1161 | 2311 | 50.24% | 4261 | 3074 | 3502 | 1101 | 2020 | 1051 |
Séries | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
34 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 2 | 7 | 11 | 18 | 0 | 0 | 1 | 3 | 3 | 0 | 107 | 25 | 45 | 37 | 0 | 173 | 51 | 32 | 75 | 21 | 1 | 4.76% | 14 | 3 | 78.57% | 0 | 41 | 141 | 29.08% | 42 | 180 | 23.33% | 20 | 71 | 28.17% | 104 | 71 | 134 | 35 | 60 | 30 |
Total Séries | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 2 | 7 | 11 | 18 | 0 | 0 | 1 | 3 | 3 | 0 | 107 | 25 | 45 | 37 | 0 | 173 | 51 | 32 | 75 | 21 | 1 | 4.76% | 14 | 3 | 78.57% | 0 | 41 | 141 | 29.08% | 42 | 180 | 23.33% | 20 | 71 | 28.17% | 104 | 71 | 134 | 35 | 60 | 30 |