| 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 | Chris Conner | X | X | 100.00 | 71 | 62 | 92 | 65 | 62 | 79 | 84 | 64 | 50 | 63 | 59 | 65 | 56 | 54 | 54 | 65 | 50 | 63 | 0 | |||
| 2 | Laurent Dauphin | X | X | X | 100.00 | 70 | 68 | 73 | 72 | 68 | 70 | 73 | 60 | 75 | 60 | 56 | 62 | 53 | 47 | 47 | 62 | 50 | 61 | 0 | ||
| 3 | Matthew Peca | X | X | X | 100.00 | 71 | 42 | 96 | 76 | 61 | 57 | 73 | 55 | 59 | 64 | 58 | 71 | 25 | 48 | 48 | 64 | 50 | 61 | 0 | ||
| 4 | A.J. Greer (R) | X | X | 100.00 | 78 | 44 | 74 | 72 | 76 | 45 | 77 | 56 | 37 | 57 | 58 | 58 | 25 | 46 | 46 | 60 | 50 | 58 | 0 | |||
| 5 | Blake Lizotte (R) | X | 100.00 | 51 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 50 | 54 | 1 | ||||
| 6 | Steven Kampfer | X | 100.00 | 78 | 44 | 82 | 68 | 70 | 65 | 53 | 64 | 25 | 49 | 50 | 64 | 25 | 61 | 61 | 59 | 50 | 62 | 0 | ||||
| 7 | Paul Ladue | X | 100.00 | 80 | 45 | 88 | 77 | 75 | 62 | 60 | 61 | 25 | 49 | 48 | 63 | 25 | 49 | 50 | 60 | 50 | 62 | 0 | ||||
| 8 | Andrew Campbell | X | 100.00 | 78 | 78 | 77 | 68 | 78 | 71 | 78 | 47 | 25 | 34 | 41 | 65 | 39 | 58 | 58 | 53 | 50 | 61 | 0 | ||||
| 9 | Luke Witkowski | X | X | 100.00 | 85 | 96 | 80 | 71 | 80 | 53 | 55 | 58 | 25 | 46 | 47 | 63 | 25 | 55 | 56 | 58 | 50 | 61 | 0 | |||
| Rayé | ||||||||||||||||||||||||||
| 1 | Jordan Weal | X | X | X | 100.00 | 63 | 41 | 90 | 71 | 63 | 65 | 83 | 69 | 90 | 66 | 64 | 58 | 75 | 58 | 59 | 65 | 50 | 64 | 0 | ||
| 2 | Oscar Fantenberg | X | 100.00 | 80 | 54 | 90 | 76 | 73 | 69 | 74 | 59 | 25 | 43 | 48 | 72 | 25 | 51 | 52 | 60 | 50 | 64 | 0 | ||||
| MOYENNE D'ÉQUIPE | 100.00 | 73 | 57 | 82 | 70 | 69 | 63 | 70 | 59 | 45 | 53 | 53 | 63 | 39 | 53 | 53 | 60 | 50 | 61 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du Gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Rayé | ||||||||||||||||||||
| 1 | Spencer Martin | 100.00 | 53 | 58 | 73 | 83 | 52 | 60 | 50 | 57 | 57 | 56 | 30 | 44 | 44 | 55 | 50 | 57 | 0 | |
| MOYENNE D'ÉQUIPE | 100.00 | 53 | 58 | 73 | 83 | 52 | 60 | 50 | 57 | 57 | 56 | 30 | 44 | 44 | 55 | 50 | 57 | |||
| Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dallas Eakins | 64 | 61 | 41 | 44 | 62 | 48 | 53 | USA | 48 | 3 | 800,000$ |
| 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 | Status | Type | Salaire Actuel | Cap Salariale | Cap Salariale Restant | Exclus du Cap Salarial | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| A.J. Greer | Bears (WSH) | LW/RW | 22 | 1996-12-14 | Yes | 204 Lbs | 6 ft3 | No | No | No | 3 | Avec Restriction | Pro & Farm | 825,000$ | 0$ | 0$ | No | Lien |
| Andrew Campbell | Bears (WSH) | D | 31 | 1988-02-04 | No | 205 Lbs | 6 ft4 | No | No | No | 2 | Sans Restriction | Pro & Farm | 650,000$ | 0$ | 0$ | No | Lien |
| Blake Lizotte | Bears (WSH) | C | 21 | 1997-12-13 11:41:36 AM | Yes | 172 Lbs | 5 ft7 | No | No | No | 3 | Avec Restriction | Pro & Farm | 925,000$ | 0$ | 0$ | No | |
| Chris Conner | Bears (WSH) | LW/RW | 35 | 1983-12-23 | No | 181 Lbs | 5 ft7 | No | No | No | 1 | Sans Restriction | Pro & Farm | 650,000$ | 0$ | 0$ | No | Lien |
| Jordan Weal | Bears (WSH) | C/LW/RW | 27 | 1992-04-14 | No | 179 Lbs | 5 ft10 | No | No | No | 1 | Avec Restriction | Pro & Farm | 870,000$ | 0$ | 0$ | No | Lien |
| Laurent Dauphin | Bears (WSH) | C/LW/RW | 24 | 1995-03-27 | No | 180 Lbs | 6 ft1 | No | No | No | 1 | Avec Restriction | Pro & Farm | 894,167$ | 0$ | 0$ | No | Lien |
| Luke Witkowski | Bears (WSH) | RW/D | 29 | 1990-04-14 | No | 210 Lbs | 6 ft2 | No | No | No | 1 | Sans Restriction | Pro & Farm | 750,000$ | 0$ | 0$ | No | Lien |
| Matthew Peca | Bears (WSH) | C/LW/RW | 26 | 1993-04-27 | No | 178 Lbs | 5 ft8 | No | No | No | 1 | Avec Restriction | Pro & Farm | 925,000$ | 0$ | 0$ | No | Lien |
| Oscar Fantenberg | Bears (WSH) | D | 28 | 1991-10-07 | No | 203 Lbs | 6 ft0 | No | No | No | 2 | Avec Restriction | Pro & Farm | 650,000$ | 0$ | 0$ | No | Lien |
| Paul Ladue | Bears (WSH) | D | 27 | 1992-09-06 | No | 201 Lbs | 6 ft2 | No | No | No | 2 | Avec Restriction | Pro & Farm | 925,000$ | 0$ | 0$ | No | Lien |
| Spencer Martin | Bears (WSH) | G | 24 | 1995-06-07 | No | 210 Lbs | 6 ft3 | No | No | No | 1 | Avec Restriction | Pro & Farm | 894,000$ | 0$ | 0$ | No | Lien |
| Steven Kampfer | Bears (WSH) | D | 31 | 1988-09-24 | No | 195 Lbs | 5 ft11 | No | No | No | 1 | Sans Restriction | Pro & Farm | 650,000$ | 0$ | 0$ | No | Lien |
| Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
|---|---|---|---|---|---|
| 12 | 27.08 | 193 Lbs | 6 ft0 | 1.58 | 800,681$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 20 | 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 |
| 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 |
| 1 | Admirals | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 8 | 8 | 13 | 0 | 48 | 98 | 102 | 119 | 0 | 49 | 14 | 0 | 29 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 105 | 229 | 45.85% | 104 | 259 | 40.15% | 57 | 158 | 36.08% | 170 | 121 | 268 | 60 | 102 | 45 |
| 2 | Checkers | 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 | 8 | 8 | 13 | 0 | 12 | 98 | 102 | 119 | 0 | 29 | 10 | 6 | 9 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 105 | 229 | 45.85% | 104 | 259 | 40.15% | 57 | 158 | 36.08% | 170 | 121 | 268 | 60 | 102 | 45 |
| 3 | Eagles | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 8 | 16 | 24 | 0 | 0 | 8 | 8 | 13 | 0 | 52 | 98 | 102 | 119 | 0 | 46 | 13 | 4 | 32 | 2 | 2 | 100.00% | 2 | 1 | 50.00% | 0 | 105 | 229 | 45.85% | 104 | 259 | 40.15% | 57 | 158 | 36.08% | 170 | 121 | 268 | 60 | 102 | 45 |
| 4 | Marlies | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 8 | 8 | 13 | 0 | 13 | 98 | 102 | 119 | 0 | 66 | 14 | 0 | 13 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 105 | 229 | 45.85% | 104 | 259 | 40.15% | 57 | 158 | 36.08% | 170 | 121 | 268 | 60 | 102 | 45 |
| 5 | Rampage | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 8 | 8 | 13 | 0 | 26 | 98 | 102 | 119 | 0 | 61 | 19 | 2 | 28 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 105 | 229 | 45.85% | 104 | 259 | 40.15% | 57 | 158 | 36.08% | 170 | 121 | 268 | 60 | 102 | 45 |
| 6 | Sound Tigers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 8 | 8 | 13 | 0 | 41 | 98 | 102 | 119 | 0 | 56 | 10 | 8 | 29 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 105 | 229 | 45.85% | 104 | 259 | 40.15% | 57 | 158 | 36.08% | 170 | 121 | 268 | 60 | 102 | 45 |
| 7 | Stars | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 8 | 8 | 13 | 0 | 71 | 98 | 102 | 119 | 0 | 108 | 39 | 4 | 41 | 4 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 105 | 229 | 45.85% | 104 | 259 | 40.15% | 57 | 158 | 36.08% | 170 | 121 | 268 | 60 | 102 | 45 |
| Total | 9 | 2 | 6 | 0 | 0 | 1 | 0 | 0 | 29 | 43 | -14 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 18 | 22 | -4 | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 11 | 21 | -10 | 5 | 0.278 | 29 | 58 | 87 | 1 | 0 | 8 | 8 | 13 | 0 | 319 | 98 | 102 | 119 | 0 | 475 | 129 | 24 | 213 | 14 | 2 | 14.29% | 9 | 3 | 66.67% | 0 | 105 | 229 | 45.85% | 104 | 259 | 40.15% | 57 | 158 | 36.08% | 170 | 121 | 268 | 60 | 102 | 45 | |
| 9 | Wolf Pack | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 8 | 8 | 13 | 0 | 56 | 98 | 102 | 119 | 0 | 60 | 10 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 105 | 229 | 45.85% | 104 | 259 | 40.15% | 57 | 158 | 36.08% | 170 | 121 | 268 | 60 | 102 | 45 |
| _Since Last GM Reset | 9 | 2 | 6 | 0 | 0 | 1 | 0 | 0 | 29 | 43 | -14 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 18 | 22 | -4 | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 11 | 21 | -10 | 5 | 0.278 | 29 | 58 | 87 | 1 | 0 | 8 | 8 | 13 | 0 | 319 | 98 | 102 | 119 | 0 | 475 | 129 | 24 | 213 | 14 | 2 | 14.29% | 9 | 3 | 66.67% | 0 | 105 | 229 | 45.85% | 104 | 259 | 40.15% | 57 | 158 | 36.08% | 170 | 121 | 268 | 60 | 102 | 45 | |
| _Vs Conference | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 20 | -9 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 13 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 2 | 0.250 | 11 | 22 | 33 | 0 | 0 | 8 | 8 | 13 | 0 | 122 | 98 | 102 | 119 | 0 | 211 | 44 | 14 | 83 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 105 | 229 | 45.85% | 104 | 259 | 40.15% | 57 | 158 | 36.08% | 170 | 121 | 268 | 60 | 102 | 45 | |
| _Vs Division | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 16 | -7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 2 | 0.333 | 9 | 18 | 27 | 0 | 0 | 8 | 8 | 13 | 0 | 109 | 98 | 102 | 119 | 0 | 145 | 30 | 14 | 70 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 105 | 229 | 45.85% | 104 | 259 | 40.15% | 57 | 158 | 36.08% | 170 | 121 | 268 | 60 | 102 | 45 | |
| 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 |
| 9 | 5 | W1 | 29 | 58 | 87 | 319 | 475 | 129 | 24 | 213 | 1 | 0 |
| Tous les Matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 9 | 2 | 6 | 0 | 1 | 0 | 0 | 29 | 43 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 5 | 2 | 3 | 0 | 0 | 0 | 0 | 18 | 22 |
| Matchs Éxtérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 4 | 0 | 3 | 0 | 1 | 0 | 0 | 11 | 21 |
| Derniers 10 Matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 2 | 6 | 0 | 1 | 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 |
|---|---|---|---|---|---|---|
| 14 | 2 | 14.29% | 9 | 3 | 66.67% | 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 |
|---|---|---|---|---|---|---|---|
| 98 | 102 | 119 | 0 | 8 | 8 | 13 | 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 |
| 105 | 229 | 45.85% | 104 | 259 | 40.15% | 57 | 158 | 36.08% |
| 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 |
| 170 | 121 | 268 | 60 | 102 | 45 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 - 2019-10-04 | 2 | Bears | 3 | Rampage | 4 | L | X | Sommaire du Match | ||
| 3 - 2019-10-06 | 15 | Bears | 3 | Sound Tigers | 7 | L | Sommaire du Match | |||
| 4 - 2019-10-07 | 30 | Checkers | 6 | Bears | 0 | L | Sommaire du Match | |||
| 7 - 2019-10-10 | 43 | Stars | 5 | Bears | 2 | L | Sommaire du Match | |||
| 9 - 2019-10-12 | 53 | Bears | 3 | Admirals | 5 | L | Sommaire du Match | |||
| 11 - 2019-10-14 | 65 | Bears | 2 | Stars | 5 | L | Sommaire du Match | |||
| 13 - 2019-10-16 | 84 | Eagles | 4 | Bears | 8 | W | Sommaire du Match | |||
| 15 - 2019-10-18 | 97 | Marlies | 4 | Bears | 2 | L | Sommaire du Match | |||
| 17 - 2019-10-20 | 112 | Wolf Pack | 3 | Bears | 6 | W | Sommaire du Match | |||
| 19 - 2019-10-22 | 125 | Bears | - | IceHogs | - | |||||
| 21 - 2019-10-24 | 135 | Bears | - | Heat | - | |||||
| 23 - 2019-10-26 | 149 | Bears | - | Condors | - | |||||
| 24 - 2019-10-27 | 159 | Bears | - | Comets | - | |||||
| 28 - 2019-10-31 | 187 | Bears | - | Marlies | - | |||||
| 31 - 2019-11-03 | 203 | Americans | - | Bears | - | |||||
| 33 - 2019-11-05 | 219 | Heat | - | Bears | - | |||||
| 37 - 2019-11-09 | 242 | Bears | - | Thunderbirds | - | |||||
| 39 - 2019-11-11 | 262 | Wolves | - | Bears | - | |||||
| 41 - 2019-11-13 | 271 | Roadrunners | - | Bears | - | |||||
| 43 - 2019-11-15 | 284 | Bears | - | Phantoms | - | |||||
| 45 - 2019-11-17 | 298 | Rocket | - | Bears | - | |||||
| 46 - 2019-11-18 | 300 | Bears | - | Bruins | - | |||||
| 48 - 2019-11-20 | 317 | Gulls | - | Bears | - | |||||
| 50 - 2019-11-22 | 332 | Bears | - | Wolf Pack | - | |||||
| 53 - 2019-11-25 | 361 | Comets | - | Bears | - | |||||
| 57 - 2019-11-29 | 389 | Thunderbirds | - | Bears | - | |||||
| 59 - 2019-12-01 | 402 | Crunch | - | Bears | - | |||||
| 60 - 2019-12-02 | 406 | Bears | - | Griffins | - | |||||
| 63 - 2019-12-05 | 431 | Bears | - | Barracudas | - | |||||
| 64 - 2019-12-06 | 435 | Bears | - | Reign | - | |||||
| 66 - 2019-12-08 | 447 | Bears | - | Gulls | - | |||||
| 69 - 2019-12-11 | 471 | Monsters | - | Bears | - | |||||
| 71 - 2019-12-13 | 486 | Bruins | - | Bears | - | |||||
| 74 - 2019-12-16 | 514 | Bears | - | Crunch | - | |||||
| 76 - 2019-12-18 | 519 | Bears | - | Monsters | - | |||||
| 80 - 2019-12-22 | 550 | Bears | - | Devils | - | |||||
| 81 - 2019-12-23 | 564 | Crunch | - | Bears | - | |||||
| 83 - 2019-12-25 | 569 | Bears | - | Bruins | - | |||||
| 87 - 2019-12-29 | 592 | Monsters | - | Bears | - | |||||
| 88 - 2019-12-30 | 593 | Bears | - | Checkers | - | |||||
| 91 - 2020-01-02 | 625 | Sound Tigers | - | Bears | - | |||||
| 94 - 2020-01-05 | 639 | Bears | - | Checkers | - | |||||
| 96 - 2020-01-07 | 658 | Barracudas | - | Bears | - | |||||
| 98 - 2020-01-09 | 674 | Senators | - | Bears | - | |||||
| 99 - 2020-01-10 | 676 | Bears | - | Phantoms | - | |||||
| 102 - 2020-01-13 | 702 | Devils | - | Bears | - | |||||
| 104 - 2020-01-15 | 713 | Checkers | - | Bears | - | |||||
| 107 - 2020-01-18 | 739 | Devils | - | Bears | - | |||||
| 109 - 2020-01-20 | 750 | Bears | - | Sound Tigers | - | |||||
| 118 - 2020-01-29 | 769 | Bears | - | Rocket | - | |||||
| 120 - 2020-01-31 | 781 | Admirals | - | Bears | - | |||||
| 122 - 2020-02-02 | 789 | Bears | - | Senators | - | |||||
| 124 - 2020-02-04 | 808 | Penguins | - | Bears | - | |||||
| 126 - 2020-02-06 | 824 | Reign | - | Bears | - | |||||
| 130 - 2020-02-10 | 854 | Phantoms | - | Bears | - | |||||
| 132 - 2020-02-12 | 865 | Sound Tigers | - | Bears | - | |||||
| 135 - 2020-02-15 | 882 | Bears | - | Eagles | - | |||||
| 137 - 2020-02-17 | 895 | Bears | - | Roadrunners | - | |||||
| 139 - 2020-02-19 | 919 | Bears | - | Wolves | - | |||||
| 142 - 2020-02-22 | 940 | Rocket | - | Bears | - | |||||
| 144 - 2020-02-24 | 950 | Bears | - | Devils | - | |||||
| 145 - 2020-02-25 | 966 | Penguins | - | Bears | - | |||||
| 147 - 2020-02-27 | 980 | Moose | - | Bears | - | |||||
| 149 - 2020-02-29 | 993 | Bears | - | Moose | - | |||||
| 152 - 2020-03-03 | 1014 | Bears | - | Wild | - | |||||
| 155 - 2020-03-06 | 1032 | Phantoms | - | Bears | - | |||||
| 156 - 2020-03-07 | 1038 | Bears | - | Wolf Pack | - | |||||
| 158 - 2020-03-09 | 1057 | Bears | - | Penguins | - | |||||
| 160 - 2020-03-11 | 1066 | Bears | - | Americans | - | |||||
| 163 - 2020-03-14 | 1092 | Griffins | - | Bears | - | |||||
| 165 - 2020-03-16 | 1108 | IceHogs | - | Bears | - | |||||
| 167 - 2020-03-18 | 1122 | Condors | - | Bears | - | |||||
| 170 - 2020-03-21 | 1138 | Bears | - | Monsters | - | |||||
| 171 - 2020-03-22 | 1152 | Senators | - | Bears | - | |||||
| 173 - 2020-03-24 | 1169 | Bears | - | Penguins | - | |||||
| 175 - 2020-03-26 | 1184 | Rampage | - | Bears | - | |||||
| 177 - 2020-03-28 | 1198 | Wolf Pack | - | Bears | - | |||||
| 179 - 2020-03-30 | 1209 | Bears | - | Griffins | - | |||||
| 181 - 2020-04-01 | 1224 | Bears | - | Americans | - | |||||
| 182 - 2020-04-02 | 1238 | Marlies | - | Bears | - | |||||
| 184 - 2020-04-04 | 1254 | Wild | - | Bears | - | |||||
| 186 - 2020-04-06 | 1263 | Bears | - | Thunderbirds | - |
| Capacité de l'Aréna - Tendance du Prix des Billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité de l'Aréna | 2000 | 1000 |
| Prix des Billets | 35 | 0 |
| Assistance | 7,550 | 3,807 |
| Assistance PCT | 75.50% | 76.14% |
| Revenus | |||||
|---|---|---|---|---|---|
| Matchs à domicile Restants | Assistance Moyenne - % | Revenus Moyen par Match | Revenus Annuels à ce Jour | Capacité de l'Aréna | Popularité de l'Équipe |
| 36 | 2271 - 75.71% | 52,850$ | 264,250$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses Annuelles à Ce Jour | Salaire Total des Joueurs | Salaire Total Moyen des Joueurs | Salaire des Coachs |
| 161,316$ | 960,817$ | 960,817$ | 0$ |
| Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
|---|---|---|---|
| 5,166$ | 88,199$ | 0 | 0 |
| Éstimation | |||
|---|---|---|---|
| Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
| 1,902,600$ | 169 | 9,467$ | 1,599,923$ |
| 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 |
| 2019 | 9 | 2 | 6 | 0 | 0 | 1 | 0 | 0 | 29 | 43 | -14 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 18 | 22 | -4 | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 11 | 21 | -10 | 5 | 29 | 58 | 87 | 1 | 0 | 8 | 8 | 13 | 0 | 319 | 98 | 102 | 119 | 0 | 475 | 129 | 24 | 213 | 14 | 2 | 14.29% | 9 | 3 | 66.67% | 0 | 105 | 229 | 45.85% | 104 | 259 | 40.15% | 57 | 158 | 36.08% | 170 | 121 | 268 | 60 | 102 | 45 |
| Total Saison Régulière | 9 | 2 | 6 | 0 | 0 | 1 | 0 | 0 | 29 | 43 | -14 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 18 | 22 | -4 | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 11 | 21 | -10 | 5 | 29 | 58 | 87 | 1 | 0 | 8 | 8 | 13 | 0 | 319 | 98 | 102 | 119 | 0 | 475 | 129 | 24 | 213 | 14 | 2 | 14.29% | 9 | 3 | 66.67% | 0 | 105 | 229 | 45.85% | 104 | 259 | 40.15% | 57 | 158 | 36.08% | 170 | 121 | 268 | 60 | 102 | 45 |