Ice Dogs | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Daniel Pigeon | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Joshua Roy (R) | X | 100.00 | 53 | 50 | 90 | 66 | 66 | 72 | 38 | 58 | 51 | 64 | 63 | 60 | 50 | 55 | 63 | 0 | 40 | 66 | 0 | 21 | 3 | 867,500$ | ||||
2 | Lane Pederson | X | 100.00 | 85 | 65 | 75 | 73 | 65 | 60 | 55 | 58 | 60 | 52 | 61 | 54 | 50 | 66 | 62 | 0 | 40 | 64 | 0 | 27 | 5 | 775,000$ | ||||
3 | Jasper Weatherby | X | 100.00 | 66 | 52 | 88 | 73 | 83 | 60 | 55 | 57 | 59 | 50 | 56 | 53 | 44 | 60 | 58 | 0 | 40 | 63 | 0 | 26 | 1 | 775,000$ | ||||
4 | Brendan Perlini | X | 100.00 | 58 | 51 | 88 | 73 | 78 | 60 | 55 | 55 | 40 | 50 | 53 | 50 | 39 | 72 | 54 | 0 | 40 | 61 | 0 | 28 | 4 | 750,000$ | ||||
5 | Garrett Pilon | X | 100.00 | 51 | 50 | 90 | 73 | 65 | 60 | 55 | 55 | 51 | 50 | 60 | 50 | 31 | 62 | 59 | 0 | 40 | 61 | 0 | 26 | 1 | 750,000$ | ||||
6 | Markus Hannikainen | X | 100.00 | 44 | 45 | 55 | 73 | 70 | 60 | 55 | 55 | 30 | 50 | 50 | 50 | 30 | 54 | 63 | 0 | 40 | 58 | 0 | 31 | 1 | 750,000$ | ||||
7 | Arnaud Durandeau | X | 100.00 | 51 | 50 | 76 | 73 | 64 | 60 | 55 | 55 | 31 | 50 | 50 | 50 | 30 | 60 | 52 | 0 | 40 | 58 | 0 | 25 | 4 | 750,000$ | ||||
8 | Gage Goncalves (R) | X | 100.00 | 57 | 50 | 55 | 63 | 62 | 75 | 30 | 55 | 36 | 50 | 50 | 53 | 30 | 57 | 54 | 0 | 40 | 58 | 0 | 23 | 1 | 775,000$ | ||||
9 | Sean Malone | X | 100.00 | 44 | 45 | 55 | 73 | 66 | 60 | 55 | 55 | 30 | 50 | 50 | 50 | 30 | 54 | 61 | 0 | 40 | 58 | 0 | 29 | 3 | 750,000$ | ||||
10 | Jayce Hawryluk | X | 100.00 | 44 | 45 | 55 | 73 | 63 | 60 | 55 | 55 | 30 | 50 | 50 | 50 | 30 | 54 | 60 | 0 | 40 | 58 | 0 | 28 | 4 | 750,000$ | ||||
11 | Colton White | X | 100.00 | 60 | 51 | 90 | 73 | 67 | 60 | 55 | 56 | 35 | 59 | 50 | 65 | 45 | 70 | 62 | 0 | 40 | 66 | N | 0 | 27 | 5 | 775,000$ | |||
12 | Ronnie Attard | X | 100.00 | 65 | 50 | 76 | 63 | 78 | 80 | 30 | 55 | 35 | 55 | 51 | 66 | 32 | 63 | 60 | 0 | 40 | 66 | 0 | 25 | 2 | 775,000$ | ||||
13 | Andrej Sekera | X | 100.00 | 56 | 52 | 85 | 75 | 67 | 60 | 55 | 55 | 30 | 50 | 52 | 56 | 43 | 99 | 63 | 0 | 40 | 64 | 0 | 38 | 1 | 4,500,000$ | ||||
14 | Ryan Shea (R) | X | 100.00 | 57 | 51 | 90 | 63 | 73 | 73 | 44 | 55 | 40 | 52 | 55 | 66 | 36 | 61 | 58 | 0 | 40 | 64 | N | 0 | 27 | 5 | 775,000$ | |||
15 | Mark Friedman | X | 100.00 | 67 | 65 | 70 | 63 | 62 | 72 | 36 | 55 | 40 | 54 | 52 | 63 | 34 | 73 | 59 | 0 | 40 | 64 | 0 | 29 | 3 | 750,000$ | ||||
16 | Slater Koekkoek | X | 100.00 | 66 | 52 | 78 | 73 | 72 | 60 | 55 | 55 | 30 | 56 | 50 | 53 | 40 | 78 | 60 | 0 | 40 | 64 | 0 | 30 | 2 | 850,000$ | ||||
17 | Nick Blankenburg | X | 100.00 | 64 | 50 | 81 | 63 | 53 | 81 | 30 | 55 | 35 | 50 | 56 | 60 | 35 | 64 | 59 | 0 | 40 | 63 | 0 | 26 | 1 | 825,000$ | ||||
18 | Maxwell Crozier (R) | X | 100.00 | 59 | 58 | 75 | 63 | 69 | 78 | 30 | 55 | 35 | 55 | 51 | 56 | 32 | 58 | 58 | 0 | 40 | 62 | 0 | 24 | 2 | 867,500$ | ||||
19 | Jack Thompson (R) | X | 100.00 | 60 | 50 | 90 | 63 | 68 | 81 | 30 | 55 | 36 | 50 | 50 | 60 | 30 | 56 | 55 | 0 | 40 | 62 | 0 | 22 | 2 | 867,500$ | ||||
20 | Mac Hollowell | X | 100.00 | 47 | 50 | 81 | 73 | 52 | 60 | 55 | 55 | 31 | 59 | 50 | 54 | 30 | 61 | 60 | 0 | 40 | 61 | 0 | 26 | 1 | 750,000$ | ||||
21 | Nelson Nogier | X | 100.00 | 44 | 45 | 55 | 73 | 71 | 60 | 55 | 55 | 30 | 50 | 50 | 50 | 30 | 54 | 60 | 0 | 40 | 59 | 0 | 28 | 4 | 750,000$ | ||||
22 | Ryan Murphy | X | 100.00 | 44 | 45 | 55 | 77 | 61 | 60 | 55 | 55 | 30 | 50 | 50 | 50 | 30 | 54 | 63 | 0 | 40 | 59 | 0 | 31 | 1 | 825,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 56 | 51 | 75 | 70 | 67 | 66 | 47 | 55 | 38 | 53 | 53 | 55 | 36 | 63 | 59 | 0 | 40 | 62 |
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 | Jack Campbell | 100.00 | 76 | 36 | 88 | 82 | 55 | 74 | 62 | 55 | 50 | 54 | 65 | 84 | 60 | 0 | 40 | 64 | N | 0 | 32 | 5 | 6,000,000$ |
2 | Eric Comrie | 100.00 | 73 | 41 | 87 | 74 | 61 | 66 | 68 | 56 | 51 | 59 | 57 | 75 | 67 | 0 | 40 | 64 | 0 | 29 | 3 | 750,000$ | |
Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 75 | 39 | 88 | 78 | 58 | 70 | 65 | 56 | 51 | 57 | 61 | 80 | 64 | 0 | 40 | 64 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|
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 |
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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 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 | 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 | Type | Salaire actuel | Salaire 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Andrej Sekera | Ice Dogs (DAY) | D | 38 | 1986-06-08 | No | 200 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 4,500,000$ | 4,500,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Arnaud Durandeau | Ice Dogs (DAY) | LW | 25 | 1999-01-14 | No | 185 Lbs | 6 ft0 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Brendan Perlini | Ice Dogs (DAY) | LW | 28 | 1996-04-27 | No | 211 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Colton White | Ice Dogs (DAY) | D | 27 | 1997-05-03 | No | 187 Lbs | 6 ft1 | Yes | No | Assign Manually | No | No | 5 | 2024-10-15 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | Yes | Yes | Yes | Yes | - | - | - | - | - | ||
Eric Comrie | Ice Dogs (DAY) | G | 29 | 1995-07-06 | No | 190 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Gage Goncalves | Ice Dogs (DAY) | C | 23 | 2001-01-16 | Yes | 188 Lbs | 5 ft11 | No | No | Trade (Prospect) | No | No | 1 | 2024-08-08 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Garrett Pilon | Ice Dogs (DAY) | C | 26 | 1998-04-13 | No | 191 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jack Campbell | Ice Dogs (DAY) | G | 32 | 1992-01-09 | No | 200 Lbs | 6 ft3 | Yes | No | Assign Manually | No | No | 5 | 2024-10-15 | Pro & Farm | 6,000,000$ | 6,000,000$ | 0$ | 0$ | No | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | - | - | - | - | - | Yes | Yes | Yes | Yes | - | - | - | - | - | ||
Jack Thompson | Ice Dogs (DAY) | D | 22 | 2002-03-19 | Yes | 189 Lbs | 6 ft1 | No | No | Trade (Prospect) | No | No | 2 | 2024-08-08 | Pro & Farm | 867,500$ | 867,500$ | 0$ | 0$ | No | 867,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Jasper Weatherby | Ice Dogs (DAY) | C | 26 | 1998-01-22 | No | 222 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | 2024-09-02 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Jayce Hawryluk | Ice Dogs (DAY) | C | 28 | 1996-01-01 | No | 196 Lbs | 5 ft11 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Joshua Roy | Ice Dogs (DAY) | RW | 21 | 2003-08-06 | Yes | 192 Lbs | 6 ft0 | No | No | Trade (Prospect) | No | No | 3 | 2024-08-08 | Pro & Farm | 867,500$ | 867,500$ | 0$ | 0$ | No | 867,500$ | 867,500$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Lane Pederson | Ice Dogs (DAY) | C | 27 | 1997-08-04 | No | 192 Lbs | 6 ft0 | No | No | N/A | No | No | 5 | 2024-09-02 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
Mac Hollowell | Ice Dogs (DAY) | D | 26 | 1998-09-26 | No | 170 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Mark Friedman | Ice Dogs (DAY) | D | 29 | 1995-12-25 | No | 185 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Markus Hannikainen | Ice Dogs (DAY) | LW | 31 | 1993-03-26 | No | 200 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Maxwell Crozier | Ice Dogs (DAY) | D | 24 | 2000-04-19 | Yes | 197 Lbs | 6 ft1 | No | No | Trade (Prospect) | No | No | 2 | 2024-08-08 | Pro & Farm | 867,500$ | 867,500$ | 0$ | 0$ | No | 867,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Nelson Nogier | Ice Dogs (DAY) | D | 28 | 1996-01-01 | No | 191 Lbs | 6 ft2 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Nick Blankenburg | Ice Dogs (DAY) | D | 26 | 1998-05-12 | No | 177 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | Pro & Farm | 825,000$ | 825,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Ronnie Attard | Ice Dogs (DAY) | D | 25 | 1999-03-20 | No | 208 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | 2024-09-02 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Ryan Murphy | Ice Dogs (DAY) | D | 31 | 1993-03-31 | No | 185 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | Pro & Farm | 825,000$ | 825,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Ryan Shea | Ice Dogs (DAY) | D | 27 | 1997-02-11 | Yes | 200 Lbs | 6 ft2 | Yes | No | Assign Manually | No | No | 5 | 2024-10-15 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | Yes | Yes | Yes | Yes | - | - | - | - | - | ||
Sean Malone | Ice Dogs (DAY) | RW | 29 | 1995-01-01 | No | 197 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Slater Koekkoek | Ice Dogs (DAY) | D | 30 | 1994-02-18 | No | 193 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | 850,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
24 | 27.42 | 194 Lbs | 6 ft1 | 2.67 | 1,156,354$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 34 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 26 | 1 | 2 | 2 | |||
4 | Markus Hannikainen | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 34 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 26 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 51 | 1 | 2 | 2 | |||
2 | 49 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 51 | 1 | 2 | 2 | |||
2 | 49 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 51 | 1 | 2 | 2 | ||
2 | 49 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 51 | 1 | 2 | 2 | ||
2 | 49 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | 51 | 1 | 2 | 2 | 51 | 1 | 2 | 2 | |||
2 | 49 | 1 | 2 | 2 | 49 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 51 | 1 | 2 | 2 | ||
2 | 49 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 51 | 1 | 2 | 2 | ||
2 | 49 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, Ryan Murphy, | Ryan Murphy, |
Tirs de pénalité |
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, , , , |
Gardien |
---|
#1 : , #2 : |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
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% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 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 | 0 | 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% | 0 | 0 | 0% | 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% | 0 | 0 | 0% | 0 | 0 | 0% |
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 | 0 |
Assistance | 0% | 0% |
Assistance PCT | 0% | 0% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe | 0 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
0$ | 0$ | 0$ | 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 |
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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 |
---|