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 | Casey Mittelstadt | 0 | X | 100.00 | 62 | 39 | 88 | 66 | 77 | 81 | 83 | 64 | 71 | 63 | 62 | 65 | 66 | 63 | 65 | 87 | 99 | 69 | 0 | 21 | 1 | 875,000$ | ||||
2 | Adam Erne | 0 | X | 100.00 | 89 | 47 | 77 | 63 | 80 | 74 | 87 | 62 | 58 | 61 | 59 | 57 | 63 | 68 | 65 | 74 | 99 | 68 | 0 | 25 | 3 | 800,000$ | ||||
3 | Henrik Borgstrom | 0 | X | 100.00 | 64 | 43 | 86 | 64 | 83 | 80 | 77 | 66 | 73 | 61 | 59 | 63 | 66 | 65 | 62 | 81 | 99 | 68 | 0 | 23 | 6 | 1,250,000$ | ||||
4 | Brett Ritchie | 0 | X | 100.00 | 84 | 50 | 78 | 61 | 89 | 73 | 75 | 59 | 52 | 57 | 58 | 60 | 59 | 73 | 68 | 62 | 99 | 67 | 0 | 27 | 1 | 1,750,000$ | ||||
5 | John Quenneville (R) | 0 | X | 100.00 | 61 | 45 | 86 | 63 | 76 | 83 | 80 | 61 | 73 | 60 | 62 | 64 | 63 | 67 | 64 | 76 | 99 | 67 | 0 | 24 | 3 | 750,000$ | ||||
6 | Paul Bittner (R) | 0 | X | X | 100.00 | 73 | 51 | 87 | 59 | 90 | 85 | 82 | 58 | 55 | 57 | 56 | 60 | 59 | 67 | 64 | 73 | 99 | 67 | 0 | 23 | 3 | 750,000$ | |||
7 | Dominic Toninato (R) | 0 | X | 100.00 | 63 | 47 | 82 | 61 | 79 | 80 | 78 | 59 | 65 | 58 | 60 | 62 | 59 | 71 | 66 | 57 | 99 | 67 | 0 | 26 | 3 | 750,000$ | ||||
8 | Jordan Kyrou (R) | 0 | X | 100.00 | 57 | 39 | 89 | 67 | 69 | 77 | 76 | 66 | 58 | 63 | 64 | 65 | 68 | 63 | 64 | 76 | 99 | 67 | 0 | 22 | 3 | 750,000$ | ||||
9 | Lukas Vejdemo (R) | 0 | X | 100.00 | 62 | 45 | 90 | 62 | 79 | 78 | 83 | 63 | 74 | 61 | 58 | 64 | 65 | 67 | 64 | 62 | 99 | 67 | 0 | 24 | 3 | 750,000$ | ||||
10 | Rasmus Asplund (R) | 0 | X | 100.00 | 58 | 39 | 82 | 66 | 70 | 81 | 78 | 63 | 72 | 64 | 61 | 65 | 63 | 65 | 66 | 77 | 99 | 67 | 0 | 22 | 3 | 750,000$ | ||||
11 | Isaac Ratcliffe (R) | 0 | X | 100.00 | 74 | 52 | 83 | 56 | 92 | 85 | 87 | 55 | 51 | 54 | 54 | 59 | 53 | 61 | 62 | 76 | 99 | 66 | 0 | 21 | 3 | 750,000$ | ||||
12 | Nicholas Merkley (R) | 0 | X | 100.00 | 58 | 42 | 89 | 60 | 69 | 77 | 73 | 62 | 57 | 61 | 59 | 58 | 62 | 65 | 63 | 78 | 99 | 64 | 0 | 23 | 3 | 750,000$ | ||||
13 | Matthew Phillips (R) | 0 | X | 100.00 | 53 | 39 | 87 | 61 | 57 | 83 | 78 | 62 | 58 | 60 | 59 | 57 | 62 | 63 | 61 | 64 | 99 | 64 | 0 | 22 | 3 | 750,000$ | ||||
14 | Spencer Smallman (R) | 0 | X | 100.00 | 63 | 45 | 84 | 60 | 77 | 75 | 73 | 61 | 55 | 59 | 52 | 58 | 61 | 67 | 63 | 52 | 99 | 64 | 0 | 23 | 3 | 750,000$ | ||||
15 | Daniel O'Regan (R) | 0 | X | 100.00 | 44 | 35 | 82 | 76 | 58 | 47 | 41 | 61 | 48 | 58 | 58 | 58 | 58 | 58 | 49 | 79 | 99 | 57 | 0 | 26 | 3 | 750,000$ | ||||
16 | Ryan Collins (R) | 0 | X | 100.00 | 77 | 49 | 87 | 55 | 93 | 76 | 78 | 56 | 30 | 53 | 54 | 60 | 45 | 67 | 64 | 70 | 99 | 65 | 0 | 24 | 3 | 750,000$ | ||||
17 | Martin Fehervary (R) | 0 | X | 100.00 | 64 | 45 | 87 | 60 | 81 | 84 | 74 | 58 | 30 | 57 | 57 | 59 | 46 | 61 | 63 | 74 | 99 | 65 | 0 | 20 | 6 | 800,000$ | ||||
18 | Nick Ebert | 0 | X | 100.00 | 62 | 47 | 86 | 57 | 74 | 82 | 81 | 56 | 30 | 55 | 54 | 58 | 46 | 71 | 66 | 59 | 99 | 64 | 0 | 26 | 1 | 750,000$ | ||||
19 | Jesper Lindgren (R) | 0 | X | 100.00 | 53 | 41 | 83 | 58 | 67 | 75 | 74 | 57 | 30 | 56 | 52 | 54 | 51 | 65 | 63 | 66 | 99 | 61 | 0 | 23 | 3 | 750,000$ | ||||
20 | Andrew Welinski (R) | 0 | X | 100.00 | 48 | 35 | 81 | 65 | 75 | 47 | 43 | 50 | 30 | 41 | 40 | 56 | 49 | 60 | 50 | 71 | 99 | 52 | 0 | 27 | 3 | 750,000$ | ||||
Rayé | ||||||||||||||||||||||||||||||
MOYENNE D'ÉQUIPE | 100.00 | 63 | 44 | 85 | 62 | 77 | 76 | 75 | 60 | 54 | 58 | 57 | 60 | 58 | 65 | 63 | 71 | 99 | 65 |
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 | Ville Husso (R) | 100.00 | 74 | 84 | 82 | 84 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 69 | 73 | 61 | 99 | 68 | 0 | |
2 | Marcus Hogberg (R) | 100.00 | 73 | 75 | 73 | 91 | 72 | 71 | 73 | 72 | 71 | 73 | 72 | 71 | 75 | 62 | 99 | 67 | 0 | |
Rayé | ||||||||||||||||||||
1 | Veini Vehvilainen (R) | 100.00 | 71 | 82 | 80 | 71 | 70 | 69 | 71 | 70 | 69 | 71 | 70 | 65 | 69 | 62 | 99 | 64 | 0 | |
2 | Brandon Halverson (R) | 100.00 | 60 | 58 | 56 | 88 | 59 | 58 | 60 | 59 | 58 | 60 | 59 | 67 | 71 | 67 | 99 | 58 | 0 | |
MOYENNE D'ÉQUIPE | 100.00 | 70 | 75 | 73 | 84 | 69 | 68 | 70 | 69 | 68 | 70 | 69 | 68 | 72 | 63 | 99 | 64 |
Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Darryl Sutter | 71 | 71 | 70 | 70 | 86 | 86 | 46 | CAN | 63 | 3 | 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 |
---|
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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Erne | TORONTO Marlies (TOR) | LW | 25 | 4/20/1995 | No | 96 Kg | 185 CM | No | No | No | 3 | Pro & Farm | 800,000$ | 800,000$ | 800,000$ | 800,000$ | 0$ | 0$ | No | 800,000$ | 800,000$ | Lien | |||||||
Andrew Welinski | TORONTO Marlies (TOR) | D | 27 | 4/27/1993 | Yes | 91 Kg | 188 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Brandon Halverson | TORONTO Marlies (TOR) | G | 24 | 3/29/1996 | Yes | 95 Kg | 193 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Brett Ritchie | TORONTO Marlies (TOR) | RW | 27 | 7/1/1993 | No | 100 Kg | 193 CM | No | No | No | 1 | Pro & Farm | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 0$ | 0$ | No | Lien | |||||||||
Casey Mittelstadt | TORONTO Marlies (TOR) | C | 21 | 11/22/1998 | No | 90 Kg | 185 CM | No | No | No | 1 | Pro & Farm | 875,000$ | 875,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien | |||||||||
Daniel O'Regan | TORONTO Marlies (TOR) | C | 26 | 1/30/1994 | Yes | 82 Kg | 175 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Dominic Toninato | TORONTO Marlies (TOR) | C | 26 | 3/9/1994 | Yes | 87 Kg | 188 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Henrik Borgstrom | TORONTO Marlies (TOR) | C | 23 | 8/6/1997 | No | 90 Kg | 191 CM | No | No | No | 6 | Pro & Farm | 1,250,000$ | 1,250,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | Lien | ||||
Isaac Ratcliffe | TORONTO Marlies (TOR) | LW | 21 | 2/15/1999 | Yes | 91 Kg | 198 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Jesper Lindgren | TORONTO Marlies (TOR) | D | 23 | 5/19/1997 | Yes | 75 Kg | 183 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
John Quenneville | TORONTO Marlies (TOR) | C | 24 | 4/16/1996 | Yes | 89 Kg | 185 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Jordan Kyrou | TORONTO Marlies (TOR) | C | 22 | 5/5/1998 | Yes | 80 Kg | 183 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Lukas Vejdemo | TORONTO Marlies (TOR) | C | 24 | 1/25/1996 | Yes | 88 Kg | 188 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Marcus Hogberg | TORONTO Marlies (TOR) | G | 25 | 11/25/1994 | Yes | 95 Kg | 196 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Martin Fehervary | TORONTO Marlies (TOR) | D | 20 | 10/6/1999 | Yes | 91 Kg | 188 CM | No | No | No | 6 | Pro & Farm | 800,000$ | 800,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 800,000$ | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Matthew Phillips | TORONTO Marlies (TOR) | RW | 22 | 4/6/1998 | Yes | 64 Kg | 170 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Nicholas Merkley | TORONTO Marlies (TOR) | RW | 23 | 5/23/1997 | Yes | 88 Kg | 178 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Nick Ebert | TORONTO Marlies (TOR) | D | 26 | 5/11/1994 | No | 91 Kg | 183 CM | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien | |||||||||
Paul Bittner | TORONTO Marlies (TOR) | C/LW | 23 | 11/4/1996 | Yes | 93 Kg | 196 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Rasmus Asplund | TORONTO Marlies (TOR) | C | 22 | 12/3/1997 | Yes | 86 Kg | 180 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Ryan Collins | TORONTO Marlies (TOR) | D | 24 | 5/6/1996 | Yes | 98 Kg | 196 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Spencer Smallman | TORONTO Marlies (TOR) | RW | 23 | 9/9/1996 | Yes | 90 Kg | 185 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Veini Vehvilainen | TORONTO Marlies (TOR) | G | 23 | 2/13/1997 | Yes | 82 Kg | 183 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | ||||||||
Ville Husso | TORONTO Marlies (TOR) | G | 25 | 2/6/1995 | Yes | 93 Kg | 191 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ |
Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
---|---|---|---|---|---|
24 | 23.71 | 89 Kg | 188 CM | 3.00 | 821,875$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Adam Erne | Brett Ritchie | 31 | 1 | 2 | 2 | |
2 | Paul Bittner | 26 | 1 | 2 | 2 | ||
3 | Isaac Ratcliffe | Matthew Phillips | 23 | 1 | 2 | 2 | |
4 | John Quenneville | 20 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Ryan Collins | 31 | 1 | 2 | 2 | ||
2 | 26 | 1 | 2 | 2 | |||
3 | Jesper Lindgren | Andrew Welinski | 23 | 1 | 2 | 2 | |
4 | Ryan Collins | 20 | 1 | 2 | 2 |
Attaque en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Adam Erne | Brett Ritchie | 55 | 1 | 2 | 2 | |
2 | Paul Bittner | 45 | 1 | 2 | 2 |
Défense en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Ryan Collins | 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 | Adam Erne | 45 | 1 | 2 | 2 |
Défense à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Ryan Collins | 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 | Ryan Collins | 55 | 1 | 2 | 2 | ||
2 | 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 | Adam Erne | 45 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Ryan Collins | 55 | 1 | 2 | 2 | |
2 | 45 | 1 | 2 | 2 |
Attaque Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Adam Erne | Brett Ritchie | Ryan Collins |
Défense Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Adam Erne | Brett Ritchie | Ryan Collins |
Attaquants Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Dominic Toninato, Jordan Kyrou, Lukas Vejdemo | Dominic Toninato, Jordan Kyrou | Lukas Vejdemo |
Défenseurs Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Jesper Lindgren, Andrew Welinski, | Jesper Lindgren | Andrew Welinski, |
Tirs de Pénalité |
---|
, , , Adam Erne, Brett Ritchie |
Gardien |
---|
#1 : , #2 : Marcus Hogberg |
Lignes d'Attaque Perso. en Prol. |
---|
, , , Adam Erne, Brett Ritchie, John Quenneville, John Quenneville, Paul Bittner, Dominic Toninato, Jordan Kyrou, Lukas Vejdemo |
Lignes de Défense Perso. en Prol. |
---|
, Ryan Collins, , , Jesper Lindgren |
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 |
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 Pénalité | Mises en Échec | Buts en Filet Désert | Blanchissage |
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 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 | 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 |
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 | 0.00% | 0.00% |
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 |
40 | 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 |
0$ | 1,972,500$ | 1,905,000$ | 0$ |
Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Éstimation | |||
---|---|---|---|
Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
0$ | 200 | 9,862$ | 1,972,400$ |
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 | 27 | 37 | 0 | 2 | 8 | 4 | 2 | 219 | 258 | -39 | 40 | 9 | 18 | 0 | 1 | 7 | 4 | 1 | 105 | 133 | -28 | 40 | 18 | 19 | 0 | 1 | 1 | 0 | 1 | 114 | 125 | -11 | 76 | 219 | 367 | 586 | 2 | 2 | 68 | 85 | 60 | 9 | 2419 | 780 | 835 | 794 | 37 | 2914 | 838 | 550 | 1478 | 265 | 49 | 18.49% | 247 | 54 | 78.14% | 2 | 1015 | 2485 | 40.85% | 1116 | 2939 | 37.97% | 474 | 1189 | 39.87% | 1809 | 1293 | 2106 | 559 | 942 | 452 |
34 | 80 | 27 | 37 | 0 | 2 | 8 | 4 | 2 | 219 | 258 | -39 | 40 | 9 | 18 | 0 | 1 | 7 | 4 | 1 | 105 | 133 | -28 | 40 | 18 | 19 | 0 | 1 | 1 | 0 | 1 | 114 | 125 | -11 | 76 | 219 | 367 | 586 | 2 | 2 | 68 | 85 | 60 | 9 | 2419 | 780 | 835 | 794 | 37 | 2914 | 838 | 550 | 1478 | 265 | 49 | 18.49% | 247 | 54 | 78.14% | 2 | 1015 | 2485 | 40.85% | 1116 | 2939 | 37.97% | 474 | 1189 | 39.87% | 1809 | 1293 | 2106 | 559 | 942 | 452 |
Total Saison Régulière | 160 | 54 | 74 | 0 | 4 | 16 | 8 | 4 | 438 | 516 | -78 | 80 | 18 | 36 | 0 | 2 | 14 | 8 | 2 | 210 | 266 | -56 | 80 | 36 | 38 | 0 | 2 | 2 | 0 | 2 | 228 | 250 | -22 | 152 | 438 | 734 | 1172 | 4 | 4 | 136 | 170 | 120 | 18 | 4838 | 1560 | 1670 | 1588 | 74 | 5828 | 1676 | 1100 | 2956 | 530 | 98 | 18.49% | 494 | 108 | 78.14% | 4 | 2030 | 4970 | 40.85% | 2232 | 5878 | 37.97% | 948 | 2378 | 39.87% | 3619 | 2587 | 4212 | 1119 | 1885 | 905 |