 | Devils |
| GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Martin Dion | Morale : 50 | Moyenne d'Équipe : 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 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 | Jordan Nolan | X | 100.00 | 67 | 49 | 85 | 62 | 87 | 79 | 78 | 60 | 55 | 59 | 59 | 61 | 60 | 79 | 77 | 0 | 50 | 63 | 0 | 30 | 1 | 700,000$ | ||||
| 2 | Chris Conner | X | 100.00 | 52 | 41 | 88 | 60 | 64 | 87 | 90 | 59 | 63 | 61 | 57 | 54 | 59 | 87 | 77 | 0 | 50 | 62 | 0 | 35 | 1 | 650,000$ | ||||
| 3 | J.T. Brown | X | 100.00 | 63 | 46 | 85 | 62 | 67 | 75 | 77 | 61 | 56 | 60 | 60 | 58 | 62 | 78 | 70 | 0 | 50 | 62 | 0 | 29 | 1 | 687,500$ | ||||
| 4 | Nathan Gerbe (C) | X | 100.00 | 55 | 39 | 86 | 65 | 58 | 76 | 70 | 63 | 71 | 62 | 59 | 57 | 65 | 82 | 72 | 0 | 50 | 62 | 0 | 32 | 1 | 675,000$ | ||||
| 5 | Miikka Salomaki | X | 100.00 | 64 | 43 | 88 | 61 | 73 | 78 | 75 | 62 | 55 | 59 | 59 | 63 | 60 | 73 | 68 | 0 | 50 | 62 | 0 | 26 | 1 | 750,000$ | ||||
| 6 | Vinni Lettieri | X | 100.00 | 58 | 43 | 89 | 62 | 69 | 76 | 74 | 63 | 58 | 61 | 62 | 59 | 63 | 69 | 65 | 0 | 50 | 62 | 0 | 24 | 1 | 700,000$ | ||||
| 7 | Branden Troock | X | 100.00 | 70 | 43 | 89 | 61 | 83 | 66 | 68 | 59 | 52 | 54 | 58 | 60 | 57 | 71 | 66 | 0 | 50 | 61 | 0 | 25 | 1 | 650,000$ | ||||
| 8 | Justin Kloos | X | 100.00 | 55 | 43 | 88 | 61 | 65 | 73 | 75 | 58 | 66 | 60 | 59 | 57 | 61 | 73 | 67 | 0 | 50 | 61 | 0 | 25 | 1 | 700,000$ | ||||
| 9 | Ryan Haggerty | X | 100.00 | 61 | 51 | 86 | 57 | 74 | 84 | 87 | 56 | 53 | 55 | 58 | 59 | 57 | 73 | 67 | 0 | 50 | 61 | 0 | 26 | 1 | 675,000$ | ||||
| 10 | Matthew Strome | X | 100.00 | 71 | 44 | 86 | 59 | 88 | 73 | 72 | 56 | 51 | 52 | 54 | 58 | 56 | 61 | 62 | 0 | 50 | 60 | 0 | 20 | 3 | 879,167$ | ||||
| 11 | Rem Pitlick | X | 100.00 | 54 | 49 | 85 | 60 | 72 | 87 | 89 | 58 | 55 | 56 | 59 | 54 | 58 | 65 | 63 | 0 | 50 | 60 | 0 | 22 | 1 | 925,000$ | ||||
| 12 | David Warsofsky | X | 100.00 | 53 | 47 | 82 | 61 | 63 | 85 | 84 | 59 | 30 | 62 | 55 | 58 | 45 | 78 | 79 | 0 | 50 | 61 | 0 | 29 | 2 | 700,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | Andrew Poturalski | X | 100.00 | 56 | 45 | 88 | 59 | 70 | 80 | 82 | 58 | 63 | 62 | 57 | 56 | 60 | 71 | 66 | 0 | 50 | 61 | 0 | 25 | 1 | 700,000$ | ||||
| 2 | Daniel Walcott | X | 100.00 | 51 | 49 | 71 | 59 | 66 | 85 | 87 | 58 | 51 | 57 | 55 | 52 | 54 | 71 | 66 | 0 | 50 | 59 | 0 | 25 | 1 | 700,000$ | ||||
| MOYENNE D'ÉQUIPE | 100.00 | 59 | 45 | 85 | 61 | 71 | 79 | 79 | 59 | 56 | 59 | 58 | 58 | 58 | 74 | 69 | 0 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Evan Cormier | 100.00 | 63 | 62 | 60 | 83 | 62 | 61 | 63 | 62 | 61 | 63 | 62 | 65 | 69 | 0 | 50 | 59 | 0 | |
| Rayé | ||||||||||||||||||||
| MOYENNE D'ÉQUIPE | 100.00 | 63 | 62 | 60 | 83 | 62 | 61 | 63 | 62 | 61 | 63 | 62 | 65 | 69 | 0 | 50 | 59 | |||
| Nom du Coach | 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 | Nouveau Joueur | Poids | Taille | Non-Échange | Disponible pour Échange | Ballotage Forcé | Contrat | Type | Salaire Actuel | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Andrew Poturalski | Devils (NJD) | RW | 25 | 1994-01-14 | No | 189 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Branden Troock | Devils (NJD) | RW | 25 | 1994-03-20 | No | 215 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 650,000$ | 0$ | 0$ | No | Lien | |||||||||
| Chris Conner | Devils (NJD) | RW | 35 | 1983-12-23 | No | 181 Lbs | 5 ft7 | No | No | No | 1 | Pro & Farm | 650,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Daniel Walcott | Devils (NJD) | LW | 25 | 1994-02-19 | No | 170 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien | |||||||||
| David Warsofsky | Devils (NJD) | D | 29 | 1990-05-30 | No | 170 Lbs | 5 ft9 | No | No | No | 2 | Pro & Farm | 700,000$ | 0$ | 0$ | No | 700,000$ | Lien / Lien NHL | ||||||||
| Evan Cormier | Devils (NJD) | G | 21 | 1997-11-06 | No | 200 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 718,333$ | 0$ | 0$ | No | 718,333$ | Lien / Lien NHL | ||||||||
| J.T. Brown | Devils (NJD) | RW | 29 | 1990-07-02 | No | 182 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 687,500$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Jordan Nolan | Devils (NJD) | LW | 30 | 1989-06-23 | No | 219 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Justin Kloos | Devils (NJD) | C | 25 | 1993-11-30 | No | 175 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Matthew Strome | Devils (NJD) | LW | 20 | 1999-01-06 | No | 206 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 879,167$ | 0$ | 0$ | No | 879,167$ | 879,167$ | Lien | |||||||
| Miikka Salomaki | Devils (NJD) | RW | 26 | 1993-03-09 | No | 203 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Nathan Gerbe | Devils (NJD) | C | 32 | 1987-07-24 | No | 169 Lbs | 5 ft4 | No | No | No | 1 | Pro & Farm | 675,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Rem Pitlick | Devils (NJD) | LW | 22 | 1997-04-02 | No | 196 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No | Lien | |||||||||
| Ryan Haggerty | Devils (NJD) | RW | 26 | 1993-03-04 | No | 200 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 675,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Vinni Lettieri | Devils (NJD) | RW | 24 | 1995-02-06 | No | 185 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL |
| Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
|---|---|---|---|---|---|
| 15 | 26.27 | 191 Lbs | 5 ft11 | 1.27 | 720,667$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
| 1 | Jordan Nolan | Vinni Lettieri | 30 | 1 | 2 | 2 | |
| 2 | Miikka Salomaki | 30 | 1 | 2 | 2 | ||
| 3 | Chris Conner | Nathan Gerbe | J.T. Brown | 25 | 1 | 2 | 2 |
| 4 | Chris Conner | 15 | 1 | 2 | 2 | ||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
| 1 | 30 | 1 | 2 | 2 | |||
| 2 | David Warsofsky | Branden Troock | 30 | 1 | 2 | 2 | |
| 3 | 25 | 1 | 2 | 2 | |||
| 4 | 15 | 1 | 2 | 2 | |||
| Attaque en Avantage Numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
| 1 | Jordan Nolan | Vinni Lettieri | 60 | 1 | 2 | 2 | |
| 2 | Miikka Salomaki | 40 | 1 | 2 | 2 | ||
| Défense en Avantage Numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
| 1 | 60 | 1 | 2 | 2 | |||
| 2 | David Warsofsky | Branden Troock | 40 | 1 | 2 | 2 | |
| Attaque à 4 en Désavantage Numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | Jordan Nolan | Vinni Lettieri | 40 | 1 | 2 | 2 |
| Défense à 4 en Désavantage Numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | David Warsofsky | 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 | David Warsofsky | 40 | 1 | 2 | 2 | ||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | Jordan Nolan | Vinni Lettieri | 40 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | David Warsofsky | 40 | 1 | 2 | 2 | |
| Attaque Dernière Minute | ||||
|---|---|---|---|---|
| Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
| Jordan Nolan | Vinni Lettieri | |||
| Défense Dernière Minute | ||||
|---|---|---|---|---|
| Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
| Jordan Nolan | Vinni Lettieri | |||
| Attaquants Supplémentaires | ||
|---|---|---|
| Normal | Avantage Numérique | Désavantage Numérique |
| Nathan Gerbe, J.T. Brown, | Nathan Gerbe, J.T. Brown | |
| Défenseurs Supplémentaires | ||
|---|---|---|
| Normal | Avantage Numérique | Désavantage Numérique |
| David Warsofsky, , | David Warsofsky | , |
| Tirs de Pénalité |
|---|
| , , Jordan Nolan, Vinni Lettieri, Miikka Salomaki |
| Gardien |
|---|
| #1 : Evan Cormier, #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 |
| 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 | 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 | 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$ | 1,081,000$ | 350,583$ | 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$ | 8 | 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2 | 82 | 25 | 43 | 0 | 1 | 4 | 4 | 5 | 231 | 320 | -89 | 41 | 13 | 25 | 0 | 1 | 0 | 1 | 1 | 112 | 160 | -48 | 41 | 12 | 18 | 0 | 0 | 4 | 3 | 4 | 119 | 160 | -41 | 50 | 231 | 390 | 621 | 0 | 1 | 88 | 67 | 71 | 9 | 2401 | 703 | 792 | 870 | 66 | 2421 | 707 | 689 | 1349 | 376 | 75 | 19.95% | 288 | 76 | 73.61% | 3 | 1436 | 2674 | 53.70% | 1152 | 2308 | 49.91% | 724 | 1390 | 52.09% | 1973 | 1339 | 1911 | 618 | 1092 | 554 |
| 3 | 82 | 31 | 35 | 0 | 2 | 2 | 5 | 7 | 244 | 233 | 11 | 41 | 21 | 14 | 0 | 1 | 1 | 1 | 3 | 132 | 113 | 19 | 41 | 10 | 21 | 0 | 1 | 1 | 4 | 4 | 112 | 120 | -8 | 62 | 244 | 422 | 666 | 2 | 0 | 90 | 72 | 75 | 12 | 2521 | 833 | 805 | 849 | 86 | 2440 | 736 | 977 | 1571 | 349 | 61 | 17.48% | 402 | 66 | 83.58% | 4 | 1505 | 2720 | 55.33% | 1434 | 2668 | 53.75% | 707 | 1263 | 55.98% | 2047 | 1403 | 1876 | 617 | 1065 | 542 |
| 4 | 82 | 33 | 38 | 0 | 4 | 2 | 1 | 4 | 231 | 225 | 6 | 41 | 15 | 21 | 0 | 2 | 1 | 0 | 2 | 116 | 118 | -2 | 41 | 18 | 17 | 0 | 2 | 1 | 1 | 2 | 115 | 107 | 8 | 66 | 231 | 424 | 655 | 1 | 3 | 95 | 69 | 62 | 5 | 2660 | 834 | 919 | 883 | 46 | 2344 | 682 | 1326 | 1635 | 588 | 104 | 17.69% | 529 | 93 | 82.42% | 4 | 1797 | 3049 | 58.94% | 1556 | 2715 | 57.31% | 691 | 1212 | 57.01% | 2102 | 1442 | 1816 | 633 | 1040 | 535 |
| 5 | 82 | 61 | 14 | 0 | 2 | 0 | 2 | 3 | 325 | 169 | 156 | 41 | 32 | 7 | 0 | 0 | 0 | 1 | 1 | 162 | 79 | 83 | 41 | 29 | 7 | 0 | 2 | 0 | 1 | 2 | 163 | 90 | 73 | 122 | 325 | 591 | 916 | 0 | 10 | 140 | 114 | 67 | 10 | 3473 | 1128 | 1184 | 1128 | 52 | 2059 | 594 | 498 | 1781 | 254 | 47 | 18.50% | 208 | 38 | 81.73% | 3 | 2099 | 3189 | 65.82% | 1502 | 2361 | 63.62% | 806 | 1303 | 61.86% | 2283 | 1689 | 1657 | 539 | 1008 | 533 |
| 6 | 82 | 19 | 54 | 0 | 2 | 3 | 0 | 4 | 318 | 436 | -118 | 41 | 9 | 27 | 0 | 2 | 0 | 0 | 3 | 161 | 201 | -40 | 41 | 10 | 27 | 0 | 0 | 3 | 0 | 1 | 157 | 235 | -78 | 38 | 318 | 563 | 881 | 3 | 0 | 133 | 93 | 90 | 3 | 3525 | 1169 | 1176 | 1161 | 29 | 3026 | 908 | 520 | 2020 | 198 | 47 | 23.74% | 231 | 78 | 66.23% | 4 | 1929 | 3213 | 60.04% | 1193 | 2158 | 55.28% | 877 | 1517 | 57.81% | 2176 | 1592 | 1762 | 525 | 1012 | 524 |
| 7 | 82 | 9 | 65 | 0 | 0 | 4 | 1 | 3 | 278 | 562 | -284 | 41 | 5 | 31 | 0 | 0 | 3 | 1 | 1 | 151 | 265 | -114 | 41 | 4 | 34 | 0 | 0 | 1 | 0 | 2 | 127 | 297 | -170 | 18 | 278 | 428 | 706 | 1 | 0 | 107 | 90 | 80 | 3 | 3509 | 1120 | 1154 | 1224 | 27 | 5020 | 1414 | 280 | 1922 | 205 | 37 | 18.05% | 117 | 43 | 63.25% | 0 | 1539 | 3036 | 50.69% | 1323 | 3014 | 43.90% | 734 | 1594 | 46.05% | 1550 | 1110 | 2476 | 555 | 921 | 401 |
| 8 | 82 | 5 | 75 | 0 | 0 | 0 | 1 | 1 | 198 | 687 | -489 | 41 | 3 | 36 | 0 | 0 | 0 | 1 | 1 | 103 | 332 | -229 | 41 | 2 | 39 | 0 | 0 | 0 | 0 | 0 | 95 | 355 | -260 | 10 | 198 | 363 | 561 | 0 | 0 | 74 | 62 | 61 | 1 | 2718 | 892 | 932 | 885 | 17 | 6356 | 1773 | 225 | 1770 | 124 | 16 | 12.90% | 89 | 32 | 64.04% | 0 | 686 | 2157 | 31.80% | 945 | 3534 | 26.74% | 445 | 1591 | 27.97% | 1104 | 741 | 2961 | 548 | 864 | 334 |
| 8 | 82 | 5 | 75 | 0 | 0 | 0 | 1 | 1 | 198 | 687 | -489 | 41 | 3 | 36 | 0 | 0 | 0 | 1 | 1 | 103 | 332 | -229 | 41 | 2 | 39 | 0 | 0 | 0 | 0 | 0 | 95 | 355 | -260 | 10 | 198 | 363 | 561 | 0 | 0 | 74 | 62 | 61 | 1 | 2718 | 892 | 932 | 885 | 17 | 6356 | 1773 | 225 | 1770 | 124 | 16 | 12.90% | 89 | 32 | 64.04% | 0 | 686 | 2157 | 31.80% | 945 | 3534 | 26.74% | 445 | 1591 | 27.97% | 1104 | 741 | 2961 | 548 | 864 | 334 |
| 9 | 82 | 31 | 36 | 0 | 2 | 2 | 4 | 7 | 344 | 339 | 5 | 41 | 14 | 19 | 0 | 1 | 1 | 1 | 5 | 171 | 164 | 7 | 41 | 17 | 17 | 0 | 1 | 1 | 3 | 2 | 173 | 175 | -2 | 83 | 344 | 575 | 919 | 0 | 1 | 141 | 105 | 92 | 22 | 3589 | 1217 | 1192 | 1153 | 80 | 3331 | 1044 | 434 | 1807 | 168 | 47 | 27.98% | 180 | 42 | 76.67% | 0 | 1714 | 3164 | 54.17% | 1586 | 2954 | 53.69% | 828 | 1486 | 55.72% | 1961 | 1419 | 2009 | 560 | 1011 | 502 |
| Total Saison Régulière | 738 | 219 | 435 | 0 | 13 | 17 | 19 | 35 | 2367 | 3658 | -1291 | 369 | 115 | 216 | 0 | 7 | 6 | 7 | 18 | 1211 | 1764 | -553 | 369 | 104 | 219 | 0 | 6 | 11 | 12 | 17 | 1156 | 1894 | -738 | 459 | 2367 | 4119 | 6486 | 7 | 15 | 942 | 734 | 659 | 66 | 27114 | 8788 | 9086 | 9038 | 420 | 33353 | 9631 | 5174 | 15625 | 2386 | 450 | 18.86% | 2133 | 500 | 76.56% | 18 | 13391 | 25359 | 52.81% | 11636 | 25246 | 46.09% | 6257 | 12947 | 48.33% | 16304 | 11479 | 19433 | 5147 | 8880 | 4263 |
| Séries | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 5 | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 35 | 25 | 10 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 13 | 2 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 20 | 12 | 8 | 12 | 35 | 63 | 98 | 0 | 0 | 14 | 10 | 11 | 0 | 369 | 128 | 113 | 128 | 0 | 297 | 90 | 79 | 207 | 29 | 6 | 20.69% | 37 | 5 | 86.49% | 0 | 207 | 384 | 53.91% | 183 | 320 | 57.19% | 97 | 161 | 60.25% | 253 | 179 | 224 | 69 | 122 | 62 |
| Total Séries | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 35 | 25 | 10 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 13 | 2 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 20 | 12 | 8 | 12 | 35 | 63 | 98 | 0 | 0 | 14 | 10 | 11 | 0 | 369 | 128 | 113 | 128 | 0 | 297 | 90 | 79 | 207 | 29 | 6 | 20.69% | 37 | 5 | 86.49% | 0 | 207 | 384 | 53.91% | 183 | 320 | 57.19% | 97 | 161 | 60.25% | 253 | 179 | 224 | 69 | 122 | 62 |
Americans
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