Chicago Wolves | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Frederic Bergeron | Morale : 40 | Moyenne d’équipe : 62 |
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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 moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Stefan Noesen | 0 | X | X | X | 100.00 | 70 | 48 | 69 | 64 | 79 | 80 | 87 | 69 | 79 | 70 | 66 | 60 | 64 | 78 | 73 | 66 | 40 | 66 | 0 | 30 | 1 | 1,200,000$ | ||
2 | Jesse Ylonen | 0 | X | 100.00 | 63 | 35 | 79 | 68 | 75 | 86 | 87 | 65 | 66 | 68 | 63 | 63 | 66 | 64 | 63 | 74 | 40 | 65 | 0 | 23 | 1 | 1,000,000$ | ||||
3 | Fabian Zetterlund | 0 | X | X | 100.00 | 66 | 39 | 92 | 70 | 76 | 82 | 86 | 68 | 56 | 71 | 62 | 62 | 59 | 64 | 66 | 65 | 40 | 65 | 2 | 24 | 1 | 1,000,000$ | |||
4 | Walker Duehr (R) | 0 | X | X | 100.00 | 74 | 41 | 80 | 67 | 82 | 81 | 84 | 64 | 60 | 61 | 68 | 66 | 60 | 55 | 60 | 59 | 40 | 64 | 0 | 25 | 3 | 1,450,000$ | |||
5 | Jonas Rondbjerg | 0 | X | 100.00 | 68 | 55 | 62 | 72 | 80 | 81 | 80 | 69 | 60 | 62 | 60 | 64 | 60 | 57 | 56 | 65 | 87 | 64 | 0 | 24 | 1 | 1,000,000$ | ||||
6 | Steven Fogarty | 0 | X | 100.00 | 69 | 46 | 92 | 66 | 85 | 84 | 83 | 62 | 72 | 55 | 60 | 66 | 58 | 77 | 69 | 52 | 40 | 64 | 2 | 30 | 1 | 1,200,000$ | ||||
7 | Aatu Raty (R) | 0 | X | 100.00 | 68 | 38 | 91 | 65 | 78 | 80 | 71 | 63 | 77 | 60 | 60 | 64 | 61 | 64 | 63 | 85 | 40 | 62 | 2 | 21 | 1 | 859,167$ | ||||
8 | Brendan Brisson | 0 | X | X | X | 100.00 | 60 | 40 | 60 | 66 | 70 | 72 | 84 | 67 | 67 | 61 | 63 | 60 | 60 | 60 | 40 | 90 | 40 | 61 | 2 | 21 | 3 | 900,000$ | ||
9 | Brayden Tracey (R) | 0 | X | 100.00 | 66 | 60 | 70 | 62 | 79 | 88 | 86 | 59 | 55 | 59 | 55 | 64 | 60 | 63 | 63 | 78 | 40 | 61 | 0 | 22 | 1 | 1,000,000$ | ||||
10 | Sean Malone | 0 | X | 100.00 | 64 | 50 | 79 | 64 | 74 | 80 | 77 | 63 | 69 | 61 | 63 | 59 | 60 | 53 | 53 | 80 | 40 | 61 | 0 | 28 | 2 | 950,000$ | ||||
11 | James Hamblin | 0 | X | 100.00 | 56 | 35 | 77 | 63 | 65 | 81 | 83 | 61 | 64 | 60 | 60 | 61 | 62 | 56 | 58 | 69 | 40 | 60 | 0 | 24 | 2 | 800,000$ | ||||
12 | Gemel Smith | 0 | X | X | X | 100.00 | 77 | 71 | 89 | 64 | 73 | 78 | 79 | 65 | 60 | 55 | 52 | 44 | 63 | 74 | 69 | 56 | 40 | 59 | 0 | 29 | 1 | 0$ | ||
13 | Lukas Svejkovsky (R) | 19 | X | 100.00 | 77 | 60 | 60 | 60 | 67 | 70 | 72 | 60 | 70 | 55 | 55 | 60 | 58 | 50 | 51 | 68 | 40 | 58 | 1 | 21 | 2 | 859,167$ | ||||
14 | Cole Koepke | 0 | X | 100.00 | 71 | 40 | 60 | 62 | 67 | 78 | 79 | 61 | 58 | 55 | 57 | 58 | 59 | 60 | 40 | 78 | 40 | 58 | 0 | 25 | 3 | 900,000$ | ||||
15 | Vasiliy Ponomarev | 0 | X | 100.00 | 66 | 45 | 60 | 61 | 77 | 72 | 70 | 55 | 58 | 58 | 57 | 60 | 60 | 60 | 40 | 70 | 40 | 58 | 0 | 21 | 1 | 815,000$ | ||||
16 | Daniel Torgersson | 0 | X | X | 100.00 | 74 | 55 | 69 | 58 | 68 | 80 | 72 | 57 | 58 | 55 | 60 | 57 | 55 | 60 | 40 | 85 | 40 | 57 | 0 | 21 | 2 | 867,500$ | |||
17 | Aleksandr Kisakov (R) | 0 | X | X | 100.00 | 65 | 45 | 77 | 60 | 67 | 72 | 72 | 55 | 50 | 50 | 55 | 56 | 40 | 50 | 55 | 80 | 40 | 56 | 2 | 20 | 2 | 859,167$ | |||
18 | Ryder Korczak (R) | 0 | X | 100.00 | 55 | 45 | 60 | 55 | 68 | 70 | 72 | 55 | 55 | 52 | 52 | 57 | 50 | 50 | 54 | 77 | 40 | 55 | 0 | 20 | 2 | 859,167$ | ||||
19 | Jan Mysak (R) | 0 | X | X | 100.00 | 56 | 45 | 60 | 55 | 66 | 77 | 69 | 55 | 57 | 55 | 52 | 55 | 57 | 60 | 60 | 74 | 40 | 55 | 0 | 21 | 3 | 900,000$ | |||
20 | Ilya Nikolaev (R) | 0 | X | 100.00 | 55 | 60 | 70 | 55 | 60 | 70 | 70 | 50 | 50 | 52 | 50 | 50 | 40 | 50 | 60 | 66 | 40 | 52 | 0 | 22 | 2 | 836,667$ | ||||
21 | Justin Barron | 0 | X | 100.00 | 70 | 50 | 80 | 67 | 81 | 85 | 81 | 65 | 30 | 67 | 63 | 75 | 55 | 61 | 51 | 87 | 40 | 67 | 2 | 21 | 1 | 925,000$ | ||||
22 | Casey Fitzgerald | 0 | X | 100.00 | 75 | 44 | 79 | 64 | 77 | 85 | 77 | 63 | 30 | 63 | 50 | 70 | 48 | 70 | 68 | 56 | 40 | 66 | 2 | 26 | 3 | 1,450,000$ | ||||
23 | Trevor Carrick | 0 | X | 100.00 | 59 | 49 | 85 | 63 | 81 | 82 | 77 | 59 | 30 | 55 | 57 | 65 | 52 | 74 | 69 | 55 | 40 | 63 | 0 | 29 | 1 | 1,444,000$ | ||||
24 | Mitchell Vande Sompel | 0 | X | 100.00 | 63 | 36 | 88 | 61 | 74 | 86 | 71 | 58 | 30 | 58 | 60 | 64 | 55 | 51 | 51 | 71 | 40 | 61 | 2 | 26 | 2 | 800,000$ | ||||
25 | Layton Ahac (R) | 0 | X | 100.00 | 76 | 58 | 72 | 63 | 80 | 77 | 72 | 52 | 30 | 58 | 55 | 55 | 60 | 63 | 63 | 86 | 40 | 61 | 0 | 22 | 3 | 900,000$ | ||||
26 | Eemil Viro (R) | 0 | X | 100.00 | 59 | 25 | 60 | 55 | 61 | 77 | 72 | 55 | 30 | 59 | 59 | 55 | 60 | 61 | 61 | 1 | 73 | 57 | 0 | 21 | 2 | 828,333$ | ||||
Rayé | ||||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 66 | 47 | 74 | 63 | 73 | 79 | 77 | 61 | 55 | 59 | 58 | 60 | 57 | 61 | 58 | 69 | 43 | 61 |
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 moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Dustin Tokarski | 0 | 100.00 | 81 | 75 | 77 | 74 | 72 | 72 | 70 | 70 | 71 | 71 | 75 | 74 | 86 | 53 | 40 | 72 | 0 | 33 | 1 | 1,200,000$ | |
2 | Garret Sparks | 0 | 100.00 | 73 | 77 | 75 | 84 | 74 | 72 | 72 | 71 | 71 | 70 | 74 | 74 | 78 | 57 | 40 | 72 | 0 | 30 | 1 | 1,330,000$ | |
3 | Hugo Alnefelt | 0 | 100.00 | 75 | 74 | 74 | 80 | 72 | 78 | 75 | 72 | 72 | 70 | 72 | 65 | 40 | 78 | 40 | 70 | 2 | 22 | 1 | 850,833$ | |
4 | Hunter Shepard | 0 | 100.00 | 79 | 72 | 75 | 78 | 77 | 67 | 69 | 70 | 68 | 72 | 66 | 53 | 53 | 73 | 40 | 68 | 0 | 27 | 1 | 1,333,000$ | |
Rayé | ||||||||||||||||||||||||
1 | Jesper Vikman (R) | 0 | 100.00 | 75 | 70 | 70 | 80 | 68 | 67 | 69 | 66 | 64 | 63 | 62 | 55 | 50 | 77 | 40 | 66 | 0 | 21 | 3 | 775,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 77 | 74 | 74 | 79 | 73 | 71 | 71 | 70 | 69 | 69 | 70 | 64 | 61 | 68 | 40 | 70 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Foote | 68 | 60 | 73 | 65 | 77 | 71 | 73 | CAN | 52 | 4 | 1,500,000$ |
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 |
---|
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 |
---|
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 | Waiver Possible | Contrat | Type | Salaire actuel | Salaire restant | Salaire moyen | Salaire moyen restant | Plafond salarial | 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 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aatu Raty | Chicago Wolves (GKN) | C | 21 | 2002-04-14 07:24:03 | Yes | 185 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 859,167$ | 859,167$ | 859,167$ | 859,167$ | 0$ | 0$ | No | Lien | |||||||||
Aleksandr Kisakov | Chicago Wolves (GKN) | LW/RW | 20 | 2002-11-01 14:37:25 | Yes | 150 Lbs | 5 ft10 | No | No | No | No | 2 | Pro & Farm | 859,167$ | 859,167$ | 859,167$ | 859,167$ | 0$ | 0$ | No | 859,167$ | |||||||||
Brayden Tracey | Chicago Wolves (GKN) | LW | 22 | 2001-05-28 06:58:37 | Yes | 177 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | ||||||||||
Brendan Brisson | Chicago Wolves (GKN) | C/LW/RW | 21 | 2001-10-22 07:25:20 | No | 174 Lbs | 5 ft11 | No | No | No | No | 3 | Pro & Farm | 900,000$ | 900,000$ | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | 900,000$ | ||||||||
Casey Fitzgerald | Chicago Wolves (GKN) | D | 26 | 1997-02-25 | No | 188 Lbs | 5 ft11 | No | No | No | No | 3 | Pro & Farm | 1,450,000$ | 1,450,000$ | 1,450,000$ | 1,450,000$ | 0$ | 0$ | No | 1,450,000$ | 1,450,000$ | ||||||||
Cole Koepke | Chicago Wolves (GKN) | LW | 25 | 1998-05-17 07:26:51 | No | 195 Lbs | 6 ft1 | No | No | No | No | 3 | Pro & Farm | 900,000$ | 900,000$ | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | 900,000$ | ||||||||
Daniel Torgersson | Chicago Wolves (GKN) | LW/RW | 21 | 2002-01-26 07:27:44 | No | 199 Lbs | 6 ft3 | No | No | No | No | 2 | Pro & Farm | 867,500$ | 867,500$ | 867,500$ | 867,500$ | 0$ | 0$ | No | 867,500$ | Lien | ||||||||
Dustin Tokarski | Chicago Wolves (GKN) | G | 33 | 1989-09-16 | No | 198 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 0$ | 0$ | No | Lien | |||||||||
Eemil Viro | Chicago Wolves (GKN) | D | 21 | 2002-04-03 14:41:46 | Yes | 165 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 828,333$ | 828,333$ | 828,333$ | 828,333$ | 0$ | 0$ | No | 828,333$ | |||||||||
Fabian Zetterlund | Chicago Wolves (GKN) | C/RW | 24 | 1999-08-25 | No | 220 Lbs | 5 ft11 | No | No | No | No | 1 | Pro & Farm | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | Lien | |||||||||
Garret Sparks | Chicago Wolves (GKN) | G | 30 | 1993-06-28 | No | 220 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 1,330,000$ | 1,330,000$ | 1,330,000$ | 1,330,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Gemel Smith | Chicago Wolves (GKN) | C/LW/RW | 29 | 1994-04-16 | No | 203 Lbs | 5 ft11 | No | No | No | No | 1 | Pro & Farm | 1,455,000$ | 1,455,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||||
Hugo Alnefelt | Chicago Wolves (GKN) | G | 22 | 2001-06-04 07:29:47 | No | 183 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 850,833$ | 850,833$ | 850,833$ | 850,833$ | 0$ | 0$ | No | ||||||||||
Hunter Shepard | Chicago Wolves (GKN) | G | 27 | 1995-11-07 09:59:04 | No | 201 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 1,333,000$ | 1,333,000$ | 1,333,000$ | 1,333,000$ | 0$ | 0$ | No | ||||||||||
Ilya Nikolaev | Chicago Wolves (GKN) | C | 22 | 2001-06-26 14:43:29 | Yes | 190 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 836,667$ | 836,667$ | 836,667$ | 836,667$ | 0$ | 0$ | No | 836,667$ | |||||||||
James Hamblin | Chicago Wolves (GKN) | C | 24 | 1999-04-27 09:36:54 | No | 181 Lbs | 5 ft10 | No | No | No | No | 2 | Pro & Farm | 800,000$ | 800,000$ | 800,000$ | 800,000$ | 0$ | 0$ | No | 800,000$ | |||||||||
Jan Mysak | Chicago Wolves (GKN) | C/LW | 21 | 2002-06-24 09:22:30 | Yes | 175 Lbs | 5 ft11 | No | No | No | No | 3 | Pro & Farm | 900,000$ | 900,000$ | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | 900,000$ | ||||||||
Jesper Vikman | Chicago Wolves (GKN) | G | 21 | 2002-03-11 04:26:20 | Yes | 176 Lbs | 6 ft3 | No | No | No | No | 3 | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | ||||||||
Jesse Ylonen | Chicago Wolves (GKN) | RW | 23 | 1999-10-03 07:05:27 | No | 181 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | ||||||||||
Jonas Rondbjerg | Chicago Wolves (GKN) | C | 24 | 1999-03-31 03:41:32 | No | 203 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | ||||||||||
Justin Barron | Chicago Wolves (GKN) | D | 21 | 2001-11-15 07:31:33 | No | 201 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 925,000$ | 925,000$ | 0$ | 0$ | No | ||||||||||
Layton Ahac | Chicago Wolves (GKN) | D | 22 | 2001-02-22 09:58:35 | Yes | 188 Lbs | 6 ft2 | No | No | No | No | 3 | Pro & Farm | 900,000$ | 900,000$ | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | 900,000$ | ||||||||
Lukas Svejkovsky | Chicago Wolves (GKN) | C | 21 | 2001-11-28 14:44:40 | Yes | 165 Lbs | 5 ft10 | No | No | No | No | 2 | Pro & Farm | 859,167$ | 859,167$ | 859,167$ | 859,167$ | 0$ | 0$ | No | 859,167$ | |||||||||
Mitchell Vande Sompel | Chicago Wolves (GKN) | D | 26 | 1997-02-11 08:36:26 | No | 198 Lbs | 5 ft11 | No | No | No | No | 2 | Pro & Farm | 800,000$ | 800,000$ | 800,000$ | 800,000$ | 0$ | 0$ | No | 800,000$ | |||||||||
Ryder Korczak | Chicago Wolves (GKN) | C | 20 | 2002-09-23 14:45:50 | Yes | 171 Lbs | 5 ft11 | No | No | No | No | 2 | Pro & Farm | 859,167$ | 859,167$ | 859,167$ | 859,167$ | 0$ | 0$ | No | 859,167$ | |||||||||
Sean Malone | Chicago Wolves (GKN) | C | 28 | 1995-04-30 08:15:40 | No | 197 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 950,000$ | 950,000$ | 950,000$ | 950,000$ | 0$ | 0$ | No | 950,000$ | Lien | ||||||||
Stefan Noesen | Chicago Wolves (GKN) | C/LW/RW | 30 | 1993-02-12 | No | 205 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Steven Fogarty | Chicago Wolves (GKN) | C | 30 | 1993-04-19 | No | 208 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 0$ | 0$ | No | Lien | |||||||||
Trevor Carrick | Chicago Wolves (GKN) | D | 29 | 1994-07-04 | No | 196 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 1,444,000$ | 1,444,000$ | 1,444,000$ | 1,444,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Vasiliy Ponomarev | Chicago Wolves (GKN) | C | 21 | 2002-03-13 07:34:22 | No | 180 Lbs | 5 ft10 | No | No | No | No | 1 | Pro & Farm | 815,000$ | 815,000$ | 815,000$ | 815,000$ | 0$ | 0$ | No | ||||||||||
Walker Duehr | Chicago Wolves (GKN) | LW/RW | 25 | 1997-11-23 06:37:13 | Yes | 210 Lbs | 6 ft2 | No | No | No | No | 3 | Pro & Farm | 1,450,000$ | 1,450,000$ | 1,450,000$ | 1,450,000$ | 0$ | 0$ | No | 1,450,000$ | 1,450,000$ |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
31 | 24.19 | 190 Lbs | 6 ft1 | 1.74 | 1,017,645$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 38 | 1 | 1 | 3 | |||
2 | Gemel Smith | 32 | 1 | 2 | 2 | ||
3 | Stefan Noesen | Steven Fogarty | 19 | 0 | 2 | 3 | |
4 | Sean Malone | Walker Duehr | 11 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Casey Fitzgerald | 38 | 1 | 1 | 3 | ||
2 | Justin Barron | 34 | 1 | 2 | 2 | ||
3 | Eemil Viro | 19 | 1 | 2 | 2 | ||
4 | Casey Fitzgerald | 9 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Stefan Noesen | 57 | 1 | 0 | 4 | ||
2 | 43 | 0 | 0 | 5 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Casey Fitzgerald | 60 | 1 | 1 | 3 | ||
2 | Justin Barron | 40 | 1 | 1 | 3 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Stefan Noesen | 55 | 1 | 4 | 0 | |
2 | 45 | 1 | 4 | 0 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Casey Fitzgerald | 60 | 1 | 4 | 0 | |
2 | Justin Barron | 40 | 1 | 4 | 0 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | 52 | 0 | 5 | 0 | Casey Fitzgerald | 60 | 1 | 4 | 0 | ||
2 | 48 | 0 | 5 | 0 | Justin Barron | 40 | 1 | 4 | 0 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 1 | 3 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Casey Fitzgerald | 60 | 1 | 2 | 2 | |
2 | Justin Barron | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Casey Fitzgerald |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Casey Fitzgerald |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, Stefan Noesen, | , Stefan Noesen |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , Eemil Viro | , |
Tirs de pénalité |
---|
, Stefan Noesen, , , |
Gardien |
---|
#1 : Dustin Tokarski, #2 : Hunter Shepard |
Lignes d’attaque personnalisées en prolongation |
---|
, , , , , Stefan Noesen, Stefan Noesen, , , Gemel Smith, Steven Fogarty |
Lignes de défense personnalisées en prolongation |
---|
, Casey Fitzgerald, Justin Barron, , |
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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 |
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 |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
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 | 0 | 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 |
---|---|---|---|---|---|---|
0 | 0 | 0.00% | 0 | 0 | 0.00% | 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 |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
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 |
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 |
Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
---|
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 35 | 15 |
Assistance | 0.00% | 0.00% |
Assistance PCT | 0.00% | 0.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
38 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
0$ | 3,154,701$ | 3,009,201$ | 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$ | 0 | 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 |
---|
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|