Calgary Wranglers | |
GP: 23 | W: 3 | L: 18 | OTL: 2 | P: 8 GF: 46 | GA: 93 | PP%: 3.70% | PK%: 64.71% DG: Carl Ducasse | Morale : 50 | Moyenne d’équipe : N/A Prochains matchs #398 vs Wilkes-Barre/Scranton Penguins |
|
|
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 | Brendan Perlini | X | X | 100.00 | 77 | 41 | 80 | 63 | 86 | 95 | 71 | 57 | 60 | 59 | 62 | 61 | 58 | 68 | 70 | 72 | 50 | 0 | 0 | 28 | 1 | 950,000$ | |||
2 | Jonny Brodzinski | X | 100.00 | 66 | 38 | 86 | 67 | 75 | 82 | 86 | 68 | 80 | 69 | 67 | 63 | 68 | 71 | 72 | 43 | 50 | 0 | 0 | 31 | 2 | 750,000$ | ||||
3 | Brett Howden | X | 100.00 | 74 | 39 | 76 | 67 | 80 | 82 | 84 | 65 | 78 | 62 | 63 | 79 | 64 | 68 | 66 | 76 | 50 | 0 | 0 | 26 | 1 | 832,500$ | ||||
4 | Steven Lorentz | X | 100.00 | 76 | 38 | 93 | 66 | 90 | 77 | 82 | 63 | 78 | 60 | 61 | 75 | 62 | 69 | 71 | 41 | 50 | 0 | 0 | 28 | 2 | 750,000$ | ||||
5 | Jack McBain (R) | X | 100.00 | 90 | 68 | 76 | 67 | 84 | 82 | 88 | 66 | 75 | 68 | 64 | 79 | 63 | 64 | 66 | 68 | 50 | 0 | 0 | 24 | 1 | 850,000$ | ||||
6 | Jake Neighbours (R) | X | 100.00 | 72 | 42 | 90 | 74 | 76 | 84 | 87 | 72 | 61 | 62 | 73 | 65 | 74 | 63 | 69 | 80 | 50 | 0 | 0 | 22 | 1 | 832,500$ | ||||
7 | Robert Hagg | X | 100.00 | 84 | 40 | 76 | 62 | 82 | 81 | 76 | 61 | 30 | 66 | 60 | 67 | 52 | 71 | 72 | 60 | 50 | 0 | 0 | 29 | 4 | 775,000$ | ||||
8 | Luke Schenn | X | 100.00 | 93 | 81 | 72 | 62 | 85 | 86 | 85 | 58 | 30 | 72 | 57 | 78 | 48 | 87 | 75 | 45 | 30 | 0 | 0 | 34 | 3 | 800,000$ | ||||
9 | Paul LaDue | X | 100.00 | 74 | 41 | 77 | 56 | 83 | 74 | 77 | 54 | 30 | 55 | 50 | 57 | 45 | 72 | 74 | 30 | 50 | 0 | 0 | 32 | 1 | 700,000$ | ||||
10 | Juuso Riikola | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 30 | 1 | 1,000,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Tucker Poolman | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 31 | 2 | 1,750,000$ | ||||
2 | Jakub Zboril (R) | X | 100.00 | 69 | 39 | 84 | 66 | 78 | 79 | 72 | 64 | 30 | 65 | 55 | 67 | 50 | 68 | 69 | 72 | 50 | 0 | 0 | 27 | 1 | 700,000$ | ||||
3 | Nicolas Meloche (R) | X | 100.00 | 40 | 35 | 40 | 62 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 66 | 68 | 11 | 50 | 0 | 0 | 27 | 2 | 750,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 69 | 44 | 72 | 61 | 71 | 82 | 83 | 58 | 47 | 58 | 56 | 62 | 52 | 63 | 63 | 48 | 48 | 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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kaapo Kahkonen | 100.00 | 75 | 98 | 79 | 84 | 76 | 76 | 76 | 76 | 76 | 64 | 85 | 70 | 81 | 57 | 50 | 0 | 0 | 28 | 1 | 700,000$ | |
Rayé | |||||||||||||||||||||||
1 | Jonas Johansson | 100.00 | 66 | 95 | 75 | 93 | 67 | 71 | 71 | 71 | 72 | 60 | 79 | 69 | 83 | 55 | 50 | 0 | 0 | 29 | 1 | 700,000$ | |
2 | Joseph Woll (R) | 100.00 | 71 | 82 | 76 | 86 | 72 | 74 | 74 | 74 | 74 | 62 | 84 | 66 | 75 | 64 | 50 | 0 | 0 | 26 | 4 | 775,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 71 | 92 | 77 | 88 | 72 | 74 | 74 | 74 | 74 | 62 | 83 | 68 | 80 | 59 | 50 | 0 |
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 |
---|
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 | Pays | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Salaire restant | Plafond salarial | Plafond salarial restant | Exclus du plafond 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 | Plafond salarial année 2 | Plafond salarial année 3 | Plafond salarial année 4 | Plafond salarial année 5 | Plafond salarial année 6 | Plafond salarial année 7 | Plafond salarial année 8 | Plafond salarial année 9 | Plafond salarial année 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Brendan Perlini | Calgary Wranglers (CAL) | LW/RW | 28 | 1996-04-27 | CAN | No | 211 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 950,000$ | 665,979$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Brett Howden | Calgary Wranglers (CAL) | C | 26 | 1998-03-29 | CAN | No | 200 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 832,500$ | 583,608$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Jack McBain | Calgary Wranglers (CAL) | C | 24 | 2000-01-06 | CAN | Yes | 201 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 850,000$ | 595,876$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Jake Neighbours | Calgary Wranglers (CAL) | LW | 22 | 2002-03-29 | CAN | Yes | 201 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 832,500$ | 583,608$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |
Jakub Zboril | Calgary Wranglers (CAL) | D | 27 | 1997-02-21 | CZE | Yes | 201 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 490,722$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Jonas Johansson | Calgary Wranglers (CAL) | G | 29 | 1995-09-19 | SWE | No | 219 Lbs | 6 ft5 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 490,722$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Jonny Brodzinski | Calgary Wranglers (CAL) | RW | 31 | 1993-06-19 | USA | No | 204 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 525,773$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Joseph Woll | Calgary Wranglers (CAL) | G | 26 | 1998-07-12 | USA | Yes | 202 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 4 | 2024-08-20 | False | False | Pro & Farm | 775,000$ | 543,299$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | 600,000$ | 600,000$ | 600,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien | |
Juuso Riikola | Calgary Wranglers (CAL) | D | 30 | 1993-11-09 | FIN | No | 189 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,000,000$ | 701,031$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Kaapo Kahkonen | Calgary Wranglers (CAL) | G | 28 | 1996-08-16 | FIN | No | 217 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 490,722$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Luke Schenn | Calgary Wranglers (CAL) | D | 34 | 1990-07-28 | CAN | No | 225 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 800,000$ | 560,825$ | 0$ | 0$ | No | 800,000$ | 800,000$ | - | - | - | - | - | - | - | 800,000$ | 800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
Nicolas Meloche | Calgary Wranglers (CAL) | D | 27 | 1997-07-18 | CAN | Yes | 211 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 525,773$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 702,020$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Paul LaDue | Calgary Wranglers (CAL) | D | 32 | 1992-09-06 | USA | No | 200 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 490,722$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Robert Hagg | Calgary Wranglers (CAL) | D | 29 | 1995-02-08 | SWE | No | 210 Lbs | 6 ft2 | No | No | N/A | No | No | 4 | 2024-05-19 | False | False | Pro & Farm | 775,000$ | 543,299$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien | |
Steven Lorentz | Calgary Wranglers (CAL) | LW | 28 | 1996-04-13 | CAN | No | 216 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 525,773$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 702,020$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Tucker Poolman | Calgary Wranglers (CAL) | D | 31 | 1993-06-08 | USA | No | 199 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,750,000$ | 1,226,804$ | 0$ | 0$ | No | 1,750,000$ | - | - | - | - | - | - | - | - | 1,750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
16 | 28.25 | 207 Lbs | 6 ft2 | 1.75 | 850,938$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 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 |
, , | , |
Tirs de pénalité |
---|
, , , , |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | 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 | Abbotsford Canucks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 19 | 13 | 13 | 1 | 22 | 208 | 212 | 244 | 26 | 89 | 33 | 6 | 38 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 178 | 438 | 40.64% | 259 | 645 | 40.16% | 135 | 348 | 38.79% | 392 | 274 | 752 | 156 | 247 | 103 |
2 | Bakersfield Condors | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 19 | 13 | 13 | 1 | 88 | 208 | 212 | 244 | 26 | 97 | 16 | 6 | 57 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 178 | 438 | 40.64% | 259 | 645 | 40.16% | 135 | 348 | 38.79% | 392 | 274 | 752 | 156 | 247 | 103 |
3 | Belleville Senators | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0.333 | 8 | 16 | 24 | 1 | 1 | 19 | 13 | 13 | 1 | 131 | 208 | 212 | 244 | 26 | 102 | 37 | 8 | 63 | 0 | 0 | 0% | 4 | 1 | 75.00% | 0 | 178 | 438 | 40.64% | 259 | 645 | 40.16% | 135 | 348 | 38.79% | 392 | 274 | 752 | 156 | 247 | 103 |
4 | Chicago Wolves | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 19 | 13 | 13 | 1 | 8 | 208 | 212 | 244 | 26 | 53 | 23 | 6 | 19 | 0 | 0 | 0% | 3 | 3 | 0.00% | 0 | 178 | 438 | 40.64% | 259 | 645 | 40.16% | 135 | 348 | 38.79% | 392 | 274 | 752 | 156 | 247 | 103 |
5 | Coachella Valley Firebirds | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 11 | -10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 19 | 13 | 13 | 1 | 20 | 208 | 212 | 244 | 26 | 91 | 28 | 15 | 21 | 1 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 178 | 438 | 40.64% | 259 | 645 | 40.16% | 135 | 348 | 38.79% | 392 | 274 | 752 | 156 | 247 | 103 |
6 | Colorado Eagles | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 19 | 13 | 13 | 1 | 14 | 208 | 212 | 244 | 26 | 44 | 14 | 2 | 25 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 178 | 438 | 40.64% | 259 | 645 | 40.16% | 135 | 348 | 38.79% | 392 | 274 | 752 | 156 | 247 | 103 |
7 | Iowa Wild | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 19 | 13 | 13 | 1 | 7 | 208 | 212 | 244 | 26 | 25 | 8 | 0 | 8 | 5 | 0 | 0.00% | 0 | 0 | 0% | 0 | 178 | 438 | 40.64% | 259 | 645 | 40.16% | 135 | 348 | 38.79% | 392 | 274 | 752 | 156 | 247 | 103 |
8 | Laval Rocket | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 19 | 13 | 13 | 1 | 27 | 208 | 212 | 244 | 26 | 20 | 6 | 2 | 25 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 178 | 438 | 40.64% | 259 | 645 | 40.16% | 135 | 348 | 38.79% | 392 | 274 | 752 | 156 | 247 | 103 |
9 | LeHigh Valley Phantoms | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 19 | 13 | 13 | 1 | 18 | 208 | 212 | 244 | 26 | 56 | 16 | 2 | 26 | 0 | 0 | 0% | 1 | 0 | 100.00% | 0 | 178 | 438 | 40.64% | 259 | 645 | 40.16% | 135 | 348 | 38.79% | 392 | 274 | 752 | 156 | 247 | 103 |
10 | Providence Bruins | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 18 | -9 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 18 | -9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 9 | 18 | 27 | 1 | 0 | 19 | 13 | 13 | 1 | 90 | 208 | 212 | 244 | 26 | 133 | 42 | 0 | 44 | 6 | 0 | 0.00% | 0 | 0 | 0% | 0 | 178 | 438 | 40.64% | 259 | 645 | 40.16% | 135 | 348 | 38.79% | 392 | 274 | 752 | 156 | 247 | 103 |
11 | Rockford IceHogs | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 19 | 13 | 13 | 1 | 131 | 208 | 212 | 244 | 26 | 87 | 32 | 4 | 54 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 178 | 438 | 40.64% | 259 | 645 | 40.16% | 135 | 348 | 38.79% | 392 | 274 | 752 | 156 | 247 | 103 |
12 | Texas Stars | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 19 | 13 | 13 | 1 | 21 | 208 | 212 | 244 | 26 | 31 | 9 | 4 | 29 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 178 | 438 | 40.64% | 259 | 645 | 40.16% | 135 | 348 | 38.79% | 392 | 274 | 752 | 156 | 247 | 103 |
13 | Toronto Marlies | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 19 | 13 | 13 | 1 | 56 | 208 | 212 | 244 | 26 | 45 | 19 | 2 | 23 | 0 | 0 | 0% | 1 | 1 | 0.00% | 0 | 178 | 438 | 40.64% | 259 | 645 | 40.16% | 135 | 348 | 38.79% | 392 | 274 | 752 | 156 | 247 | 103 |
14 | Tucson Roadrunners | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 19 | 13 | 13 | 1 | 43 | 208 | 212 | 244 | 26 | 41 | 7 | 6 | 27 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 178 | 438 | 40.64% | 259 | 645 | 40.16% | 135 | 348 | 38.79% | 392 | 274 | 752 | 156 | 247 | 103 |
15 | Utica Comets | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 19 | 13 | 13 | 1 | 7 | 208 | 212 | 244 | 26 | 46 | 5 | 11 | 8 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 178 | 438 | 40.64% | 259 | 645 | 40.16% | 135 | 348 | 38.79% | 392 | 274 | 752 | 156 | 247 | 103 |
Total | 23 | 2 | 18 | 0 | 1 | 1 | 0 | 1 | 46 | 93 | -47 | 13 | 1 | 12 | 0 | 0 | 0 | 0 | 0 | 24 | 53 | -29 | 10 | 1 | 6 | 0 | 1 | 1 | 0 | 1 | 22 | 40 | -18 | 8 | 0.174 | 46 | 91 | 137 | 2 | 1 | 19 | 13 | 13 | 1 | 683 | 208 | 212 | 244 | 26 | 960 | 295 | 74 | 467 | 27 | 1 | 3.70% | 34 | 12 | 64.71% | 0 | 178 | 438 | 40.64% | 259 | 645 | 40.16% | 135 | 348 | 38.79% | 392 | 274 | 752 | 156 | 247 | 103 | |
_Since Last GM Reset | 23 | 2 | 18 | 0 | 1 | 1 | 0 | 1 | 46 | 93 | -47 | 13 | 1 | 12 | 0 | 0 | 0 | 0 | 0 | 24 | 53 | -29 | 10 | 1 | 6 | 0 | 1 | 1 | 0 | 1 | 22 | 40 | -18 | 8 | 0.174 | 46 | 91 | 137 | 2 | 1 | 19 | 13 | 13 | 1 | 683 | 208 | 212 | 244 | 26 | 960 | 295 | 74 | 467 | 27 | 1 | 3.70% | 34 | 12 | 64.71% | 0 | 178 | 438 | 40.64% | 259 | 645 | 40.16% | 135 | 348 | 38.79% | 392 | 274 | 752 | 156 | 247 | 103 | |
_Vs Conference | 12 | 0 | 10 | 0 | 1 | 0 | 0 | 1 | 20 | 44 | -24 | 5 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 6 | 17 | -11 | 7 | 0 | 5 | 0 | 1 | 0 | 0 | 1 | 14 | 27 | -13 | 3 | 0.125 | 20 | 40 | 60 | 0 | 0 | 19 | 13 | 13 | 1 | 346 | 208 | 212 | 244 | 26 | 505 | 147 | 43 | 259 | 17 | 1 | 5.88% | 21 | 6 | 71.43% | 0 | 178 | 438 | 40.64% | 259 | 645 | 40.16% | 135 | 348 | 38.79% | 392 | 274 | 752 | 156 | 247 | 103 | |
_Vs Division | 6 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 6 | 24 | -18 | 3 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | -9 | 3 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 2 | 11 | -9 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 19 | 13 | 13 | 1 | 130 | 208 | 212 | 244 | 26 | 277 | 77 | 27 | 116 | 6 | 1 | 16.67% | 13 | 4 | 69.23% | 0 | 178 | 438 | 40.64% | 259 | 645 | 40.16% | 135 | 348 | 38.79% | 392 | 274 | 752 | 156 | 247 | 103 |
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 |
23 | 8 | L6 | 46 | 91 | 137 | 683 | 960 | 295 | 74 | 467 | 2 | 1 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
23 | 2 | 18 | 1 | 1 | 0 | 1 | 46 | 93 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
13 | 1 | 12 | 0 | 0 | 0 | 0 | 24 | 53 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
10 | 1 | 6 | 1 | 1 | 0 | 1 | 22 | 40 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
2 | 8 | 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 |
---|---|---|---|---|---|---|
27 | 1 | 3.70% | 34 | 12 | 64.71% | 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 |
---|---|---|---|---|---|---|---|
208 | 212 | 244 | 26 | 19 | 13 | 13 | 1 |
Mises en jeu | ||||||||
---|---|---|---|---|---|---|---|---|
Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
178 | 438 | 40.64% | 259 | 645 | 40.16% | 135 | 348 | 38.79% |
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 |
392 | 274 | 752 | 156 | 247 | 103 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 35 | 15 |
Assistance | 24,043 | 12,505 |
Assistance PCT | 92.47% | 96.19% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
23 | 2811 - 93.71% | 93,409$ | 1,214,315$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
391,800$ | 1,361,500$ | 1,251,760$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
7,018$ | 391,800$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
2,148,403$ | 136 | 7,018$ | 954,448$ |
# | 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 |
---|