| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Anders Bjork | 0 | X | 100.00 | 62 | 40 | 88 | 64 | 72 | 74 | 75 | 62 | 60 | 65 | 61 | 63 | 62 | 67 | 64 | 58 | 82 | 67 | 0 | ||||
| 2 | Joshua Ho-Sang | 0 | X | X | 100.00 | 57 | 39 | 89 | 66 | 69 | 78 | 75 | 64 | 59 | 62 | 58 | 61 | 66 | 67 | 64 | 78 | 42 | 66 | 0 | |||
| 3 | Kevin Roy | 0 | X | 100.00 | 54 | 38 | 86 | 62 | 64 | 80 | 77 | 63 | 54 | 61 | 58 | 60 | 64 | 73 | 67 | 53 | 82 | 65 | 0 | ||||
| 4 | Alexandre Fortin | 0 | X | 100.00 | 58 | 43 | 89 | 61 | 71 | 80 | 76 | 59 | 54 | 57 | 58 | 56 | 61 | 65 | 63 | 62 | 82 | 64 | 0 | ||||
| 5 | Matt Grzelcyk | 0 | X | 100.00 | 64 | 42 | 73 | 70 | 64 | 84 | 86 | 68 | 30 | 74 | 59 | 72 | 53 | 71 | 66 | 58 | 81 | 71 | 0 | ||||
| 6 | Tim Heed | 0 | X | 100.00 | 54 | 39 | 89 | 66 | 68 | 77 | 71 | 64 | 30 | 70 | 58 | 61 | 50 | 77 | 69 | 47 | 82 | 67 | 0 | ||||
| 7 | Sebastian D Aho | 0 | X | 100.00 | 50 | 89 | 64 | 70 | 64 | 50 | 50 | 70 | 30 | 51 | 46 | 51 | 56 | 51 | 50 | 56 | 83 | 55 | 0 | ||||
| Rayé | |||||||||||||||||||||||||||
| 1 | Chandler Stephenson | 0 | X | 100.00 | 62 | 43 | 88 | 66 | 76 | 78 | 83 | 65 | 76 | 64 | 63 | 79 | 65 | 71 | 68 | 62 | 82 | 71 | 0 | ||||
| 2 | Jesper Bratt | 0 | X | 100.00 | 59 | 38 | 87 | 76 | 65 | 82 | 85 | 74 | 56 | 75 | 70 | 59 | 78 | 63 | 64 | 59 | 77 | 71 | 0 | ||||
| 3 | Nick Paul | 0 | X | 100.00 | 79 | 47 | 86 | 65 | 87 | 77 | 72 | 65 | 78 | 66 | 63 | 67 | 65 | 69 | 66 | 59 | 82 | 70 | 0 | ||||
| 4 | Lukas Sedlak | 0 | X | 100.00 | 72 | 35 | 71 | 64 | 75 | 73 | 60 | 63 | 73 | 62 | 63 | 66 | 63 | 56 | 52 | 47 | 82 | 64 | 0 | ||||
| 5 | Mike Reilly | 0 | X | 100.00 | 68 | 39 | 83 | 66 | 77 | 84 | 78 | 64 | 30 | 74 | 57 | 63 | 50 | 73 | 68 | 53 | 82 | 70 | 0 | ||||
| MOYENNE D'ÉQUIPE | 100.00 | 62 | 44 | 83 | 66 | 71 | 76 | 74 | 65 | 53 | 65 | 60 | 63 | 61 | 67 | 63 | 58 | 78 | 67 | ||||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du Gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Michael Hutchinson | 100.00 | 76 | 69 | 67 | 83 | 75 | 74 | 76 | 75 | 74 | 76 | 75 | 78 | 84 | 52 | 80 | 69 | 0 | |
| Rayé | ||||||||||||||||||||
| MOYENNE D'ÉQUIPE | 100.00 | 76 | 69 | 67 | 83 | 75 | 74 | 76 | 75 | 74 | 76 | 75 | 78 | 84 | 52 | 80 | 69 | |||
| Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jeff Daniels | 69 | 69 | 69 | 69 | 73 | 73 | 66 | CAN | 52 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alexandre Fortin | HERSEY Bears (WSH) | LW | 22 | 1997-02-25 | No | 84 Kg | 183 CM | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien | |||||||||
| Anders Bjork | HERSEY Bears (WSH) | LW | 23 | 1996-08-05 | No | 86 Kg | 183 CM | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien | |||||||||
| Chandler Stephenson | HERSEY Bears (WSH) | C | 25 | 1994-04-22 | No | 95 Kg | 183 CM | No | No | No | 4 | Pro & Farm | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | 1,000,000$ | Lien | ||||||
| Jesper Bratt | HERSEY Bears (WSH) | LW | 21 | 1998-07-30 | No | 80 Kg | 178 CM | No | No | No | 6 | Pro & Farm | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 0$ | 0$ | No | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | Lien | ||||
| Joshua Ho-Sang | HERSEY Bears (WSH) | LW/RW | 23 | 1996-01-22 | No | 79 Kg | 183 CM | No | No | No | 2 | Pro & Farm | 900,000$ | 900,000$ | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | Lien | ||||||||
| Kevin Roy | HERSEY Bears (WSH) | LW | 26 | 1993-05-20 | No | 78 Kg | 175 CM | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien | |||||||||
| Lukas Sedlak | HERSEY Bears (WSH) | C | 26 | 1993-02-25 | No | 93 Kg | 183 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
| Matt Grzelcyk | HERSEY Bears (WSH) | D | 25 | 1994-01-05 | No | 79 Kg | 175 CM | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien | |||||||||
| Michael Hutchinson | HERSEY Bears (WSH) | G | 29 | 1990-03-02 | No | 90 Kg | 191 CM | No | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | Lien | ||||||
| Mike Reilly | HERSEY Bears (WSH) | D | 26 | 1993-07-13 | No | 91 Kg | 185 CM | No | No | No | 2 | Pro & Farm | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 0$ | 0$ | No | 1,500,000$ | Lien | ||||||||
| Nick Paul | HERSEY Bears (WSH) | LW | 24 | 1995-03-20 | No | 100 Kg | 191 CM | No | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | Lien | ||||||
| Sebastian D Aho | HERSEY Bears (WSH) | D | 23 | 1996-02-17 | No | 77 Kg | 178 CM | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien | |||||||||
| Tim Heed | HERSEY Bears (WSH) | D | 28 | 1991-01-27 | No | 82 Kg | 180 CM | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien |
| Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
|---|---|---|---|---|---|
| 13 | 24.69 | 85 Kg | 183 CM | 2.31 | 934,615$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
| 1 | Joshua Ho-Sang | 39 | 0 | 1 | 3 | ||
| 2 | Anders Bjork | 27 | 0 | 1 | 4 | ||
| 3 | Alexandre Fortin | 19 | 0 | 2 | 3 | ||
| 4 | Kevin Roy | 15 | 1 | 2 | 2 | ||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
| 1 | Matt Grzelcyk | 31 | 1 | 2 | 2 | ||
| 2 | Tim Heed | 26 | 1 | 2 | 2 | ||
| 3 | Sebastian D Aho | 23 | 1 | 2 | 2 | ||
| 4 | Matt Grzelcyk | 20 | 1 | 2 | 2 | ||
| Attaque en Avantage Numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
| 1 | Joshua Ho-Sang | 55 | 1 | 2 | 2 | ||
| 2 | Anders Bjork | 45 | 1 | 2 | 2 | ||
| Défense en Avantage Numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
| 1 | Matt Grzelcyk | 55 | 1 | 2 | 2 | ||
| 2 | Tim Heed | 45 | 1 | 2 | 2 | ||
| Attaque à 4 en Désavantage Numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | ||
| 2 | 45 | 1 | 2 | 2 | ||
| Défense à 4 en Désavantage Numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
| 1 | Matt Grzelcyk | 55 | 1 | 2 | 2 | |
| 2 | Tim Heed | 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 | Matt Grzelcyk | 55 | 1 | 2 | 2 | ||
| 2 | 45 | 1 | 2 | 2 | Tim Heed | 45 | 1 | 2 | 2 | ||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | ||
| 2 | 45 | 1 | 2 | 2 | ||
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
| 1 | Matt Grzelcyk | 55 | 1 | 2 | 2 | |
| 2 | Tim Heed | 45 | 1 | 2 | 2 | |
| Attaque Dernière Minute | ||||
|---|---|---|---|---|
| Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
| Joshua Ho-Sang | Matt Grzelcyk | |||
| Défense Dernière Minute | ||||
|---|---|---|---|---|
| Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
| Joshua Ho-Sang | Matt Grzelcyk | |||
| Attaquants Supplémentaires | ||
|---|---|---|
| Normal | Avantage Numérique | Désavantage Numérique |
| Alexandre Fortin, Kevin Roy, Anders Bjork | Alexandre Fortin, Kevin Roy | Anders Bjork |
| Défenseurs Supplémentaires | ||
|---|---|---|
| Normal | Avantage Numérique | Désavantage Numérique |
| Sebastian D Aho, Tim Heed, | Sebastian D Aho | Tim Heed, |
| Tirs de Pénalité |
|---|
| , , , , Anders Bjork |
| Gardien |
|---|
| #1 : , #2 : Michael Hutchinson |
| Lignes d'Attaque Perso. en Prol. |
|---|
| , , , , Anders Bjork, Alexandre Fortin, Alexandre Fortin, Joshua Ho-Sang, Kevin Roy, , |
| Lignes de Défense Perso. en Prol. |
|---|
| , Matt Grzelcyk, , Tim Heed, Sebastian D Aho |
| 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | 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 |
| 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 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 |
| 41 | 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$ | 1,215,000$ | 1,215,000$ | 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$ | 0 | 0$ | 0$ |
| Ligue | 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 |
| Saison Régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 33 | 82 | 45 | 21 | 0 | 8 | 4 | 2 | 2 | 362 | 162 | 200 | 41 | 22 | 11 | 0 | 4 | 2 | 2 | 0 | 173 | 78 | 95 | 41 | 23 | 10 | 0 | 4 | 2 | 0 | 2 | 189 | 84 | 105 | 90 | 362 | 636 | 998 | 1 | 20 | 175 | 101 | 76 | 13 | 3608 | 1178 | 1182 | 1205 | 57 | 1788 | 480 | 286 | 1110 | 260 | 45 | 17.31% | 118 | 19 | 83.90% | 2 | 1772 | 2845 | 62.28% | 1043 | 2001 | 52.12% | 827 | 1288 | 64.21% | 2602 | 2043 | 1460 | 453 | 905 | 507 |
| Total Saison Régulière | 82 | 45 | 21 | 0 | 8 | 4 | 2 | 2 | 362 | 162 | 200 | 41 | 22 | 11 | 0 | 4 | 2 | 2 | 0 | 173 | 78 | 95 | 41 | 23 | 10 | 0 | 4 | 2 | 0 | 2 | 189 | 84 | 105 | 90 | 362 | 636 | 998 | 1 | 20 | 175 | 101 | 76 | 13 | 3608 | 1178 | 1182 | 1205 | 57 | 1788 | 480 | 286 | 1110 | 260 | 45 | 17.31% | 118 | 19 | 83.90% | 2 | 1772 | 2845 | 62.28% | 1043 | 2001 | 52.12% | 827 | 1288 | 64.21% | 2602 | 2043 | 1460 | 453 | 905 | 507 |
| Séries | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 33 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 11 | 16 | -5 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 4 | 11 | 20 | 31 | 1 | 0 | 6 | 3 | 1 | 1 | 170 | 56 | 41 | 44 | 29 | 181 | 46 | 36 | 92 | 33 | 6 | 18.18% | 18 | 3 | 83.33% | 0 | 117 | 235 | 49.79% | 92 | 226 | 40.71% | 45 | 113 | 39.82% | 166 | 113 | 179 | 55 | 91 | 46 |
| Total Séries | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 11 | 16 | -5 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 4 | 11 | 20 | 31 | 1 | 0 | 6 | 3 | 1 | 1 | 170 | 56 | 41 | 44 | 29 | 181 | 46 | 36 | 92 | 33 | 6 | 18.18% | 18 | 3 | 83.33% | 0 | 117 | 235 | 49.79% | 92 | 226 | 40.71% | 45 | 113 | 39.82% | 166 | 113 | 179 | 55 | 91 | 46 |