 | Phantoms |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Francois Gamache | Morale : 50 | Moyenne d’équipe : 61 |
|
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| 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 | Bokondji Imama | X | 100.00 | 77 | 85 | 64 | 59 | 82 | 69 | 80 | 60 | 56 | 61 | 62 | 58 | 57 | 66 | 68 | 0 | 50 | 62 | 0 | 24 | 1 | 750,000$ | ||||
| 2 | Dominik Simon | X | 100.00 | 65 | 34 | 87 | 63 | 71 | 76 | 82 | 60 | 78 | 62 | 58 | 59 | 64 | 69 | 71 | 0 | 50 | 62 | 0 | 26 | 1 | 750,000$ | ||||
| 3 | CJ Suess | X | 100.00 | 61 | 36 | 87 | 56 | 70 | 81 | 76 | 57 | 64 | 58 | 59 | 66 | 57 | 68 | 70 | 0 | 50 | 61 | 0 | 26 | 1 | 725,000$ | ||||
| 4 | J.C. Beaudin | X | 100.00 | 68 | 39 | 78 | 58 | 77 | 74 | 75 | 57 | 66 | 59 | 56 | 57 | 54 | 65 | 67 | 0 | 50 | 60 | 0 | 23 | 1 | 700,000$ | ||||
| 5 | Gabriel Fontaine | X | 100.00 | 69 | 39 | 85 | 54 | 78 | 77 | 67 | 55 | 51 | 58 | 54 | 57 | 53 | 65 | 67 | 0 | 50 | 59 | 0 | 23 | 1 | 700,000$ | ||||
| 6 | Dillon Heatherington | X | 100.00 | 81 | 41 | 82 | 59 | 89 | 77 | 78 | 56 | 30 | 58 | 57 | 64 | 49 | 67 | 69 | 0 | 50 | 62 | 0 | 25 | 3 | 750,000$ | ||||
| 7 | Chris Bigras | X | 100.00 | 67 | 39 | 87 | 58 | 76 | 66 | 71 | 57 | 30 | 56 | 55 | 54 | 46 | 67 | 69 | 0 | 50 | 59 | 0 | 25 | 1 | 650,000$ | ||||
| 8 | Gustav Olofsson | X | 100.00 | 71 | 40 | 78 | 56 | 80 | 69 | 71 | 55 | 30 | 58 | 53 | 56 | 46 | 68 | 70 | 0 | 50 | 59 | 0 | 25 | 2 | 750,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 70 | 44 | 81 | 58 | 78 | 74 | 75 | 57 | 51 | 59 | 57 | 59 | 53 | 67 | 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 | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Michael Houser | 100.00 | 75 | 71 | 72 | 76 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 70 | 84 | 0 | 50 | 64 | 0 | 28 | 1 | 750,000$ | |
| Rayé | |||||||||||||||||||||||
| 1 | Hunter Miska | 100.00 | 74 | 72 | 73 | 75 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 67 | 77 | 0 | 50 | 64 | 0 | 25 | 1 | 725,000$ | |
| 2 | Keith Kinkaid | 100.00 | 75 | 76 | 77 | 79 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 75 | 87 | 0 | 50 | 64 | 0 | 31 | 1 | 825,000$ | |
| 3 | Antoine Bibeau | 100.00 | 70 | 67 | 68 | 84 | 69 | 68 | 70 | 69 | 68 | 70 | 69 | 69 | 81 | 0 | 50 | 62 | 0 | 26 | 1 | 750,000$ | |
| 4 | Tyler Wall | 100.00 | 63 | 67 | 68 | 86 | 62 | 61 | 63 | 62 | 61 | 63 | 62 | 64 | 71 | 0 | 50 | 58 | 0 | 22 | 1 | 925,000$ | |
| MOYENNE D’ÉQUIPE | 100.00 | 71 | 71 | 72 | 80 | 70 | 69 | 71 | 70 | 69 | 71 | 70 | 69 | 80 | 0 | 50 | 62 | ||||||
| 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 | Nouveau joueur | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Contrat | Type | Salaire actuel | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Antoine Bibeau | Phantoms (PHI) | G | 26 | 1994-05-01 | No | 205 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Bokondji Imama | Phantoms (PHI) | LW | 24 | 1996-08-03 | No | 221 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| CJ Suess | Phantoms (PHI) | LW | 26 | 1994-03-17 | No | 190 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 725,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Chris Bigras | Phantoms (PHI) | D | 25 | 1995-02-22 | No | 191 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 650,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Dillon Heatherington | Phantoms (PHI) | D | 25 | 1995-05-09 | No | 215 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 762,500$ | 762,500$ | Lien / Lien NHL | |||||||
| Dominik Simon | Phantoms (PHI) | C | 26 | 1994-08-08 | No | 190 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Gabriel Fontaine | Phantoms (PHI) | LW | 23 | 1997-04-30 | No | 201 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Gustav Olofsson | Phantoms (PHI) | D | 25 | 1994-12-01 | No | 199 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien / Lien NHL | ||||||||
| Hunter Miska | Phantoms (PHI) | G | 25 | 1995-07-07 | No | 175 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 725,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| J.C. Beaudin | Phantoms (PHI) | C | 23 | 1997-03-25 | No | 196 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Keith Kinkaid | Phantoms (PHI) | G | 31 | 1989-07-04 | No | 191 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 825,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Michael Houser | Phantoms (PHI) | G | 28 | 1992-09-13 | No | 185 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Tyler Wall | Phantoms (PHI) | G | 22 | 1998-01-14 | No | 214 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No | Lien / Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 13 | 25.31 | 198 Lbs | 6 ft1 | 1.23 | 750,000$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Bokondji Imama | Dominik Simon | 40 | 1 | 2 | 2 | |
| 2 | CJ Suess | J.C. Beaudin | 30 | 1 | 2 | 2 | |
| 3 | Gabriel Fontaine | 20 | 1 | 2 | 2 | ||
| 4 | Bokondji Imama | Dominik Simon | CJ Suess | 10 | 1 | 2 | 2 |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Gustav Olofsson | Chris Bigras | 40 | 1 | 2 | 2 | |
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | Gustav Olofsson | Chris Bigras | 10 | 1 | 2 | 2 | |
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Bokondji Imama | Dominik Simon | 60 | 1 | 2 | 2 | |
| 2 | CJ Suess | J.C. Beaudin | 40 | 1 | 2 | 2 | |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Gustav Olofsson | Chris Bigras | 60 | 1 | 2 | 2 | |
| 2 | 40 | 1 | 2 | 2 | |||
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Dominik Simon | Bokondji Imama | 60 | 1 | 2 | 2 |
| 2 | CJ Suess | J.C. Beaudin | 40 | 1 | 2 | 2 |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Gustav Olofsson | Chris Bigras | 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 | Dominik Simon | 60 | 1 | 2 | 2 | Gustav Olofsson | Chris Bigras | 60 | 1 | 2 | 2 |
| 2 | Bokondji Imama | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 | ||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Dominik Simon | Bokondji Imama | 60 | 1 | 2 | 2 |
| 2 | CJ Suess | J.C. Beaudin | 40 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Gustav Olofsson | Chris Bigras | 60 | 1 | 2 | 2 |
| 2 | 40 | 1 | 2 | 2 | ||
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Bokondji Imama | Dominik Simon | Gustav Olofsson | Chris Bigras | |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Bokondji Imama | Dominik Simon | Gustav Olofsson | Chris Bigras | |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Gabriel Fontaine, J.C. Beaudin, CJ Suess | Gabriel Fontaine, J.C. Beaudin | CJ Suess |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Gustav Olofsson, Chris Bigras, | Gustav Olofsson | Chris Bigras, |
| Tirs de pénalité |
|---|
| Dominik Simon, Bokondji Imama, CJ Suess, J.C. Beaudin, Gabriel Fontaine |
| Gardien |
|---|
| #1 : , #2 : Michael Houser |
| 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 |
| 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 pénalités | Mises en échec | Buts en filet désert | Blanchissages |
| 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 extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| 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% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel 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 entraineurs |
| 0$ | 975,000$ | 0$ | 0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 0 | 0$ | 0$ |
| 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 |
| Saison régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2 | 82 | 51 | 20 | 0 | 4 | 2 | 4 | 1 | 285 | 192 | 93 | 41 | 24 | 10 | 0 | 3 | 1 | 2 | 1 | 148 | 95 | 53 | 41 | 27 | 10 | 0 | 1 | 1 | 2 | 0 | 137 | 97 | 40 | 121 | 285 | 506 | 791 | 0 | 9 | 0 | 113 | 71 | 93 | 2719 | 0 | 933 | 870 | 895 | 2152 | 644 | 963 | 1448 | 391 | 84 | 21.48% | 392 | 61 | 84.44% | 3 | 1672 | 2849 | 58.69% | 1431 | 2583 | 55.40% | 755 | 1285 | 58.75% | 2133 | 1472 | 1762 | 606 | 1065 | 558 |
| 3 | 82 | 45 | 28 | 0 | 3 | 2 | 1 | 3 | 240 | 188 | 52 | 41 | 24 | 15 | 0 | 1 | 0 | 1 | 0 | 119 | 91 | 28 | 41 | 21 | 13 | 0 | 2 | 2 | 0 | 3 | 121 | 97 | 24 | 103 | 240 | 423 | 663 | 4 | 6 | 0 | 98 | 70 | 68 | 2942 | 0 | 1008 | 984 | 931 | 2366 | 711 | 1001 | 1710 | 318 | 53 | 16.67% | 426 | 67 | 84.27% | 5 | 1842 | 3071 | 59.98% | 1597 | 2730 | 58.50% | 698 | 1211 | 57.64% | 2120 | 1491 | 1799 | 601 | 1031 | 529 |
| 4 | 82 | 47 | 25 | 0 | 0 | 2 | 5 | 3 | 268 | 176 | 92 | 41 | 27 | 9 | 0 | 0 | 1 | 2 | 2 | 140 | 76 | 64 | 41 | 20 | 16 | 0 | 0 | 1 | 3 | 1 | 128 | 100 | 28 | 109 | 268 | 475 | 743 | 1 | 5 | 0 | 116 | 73 | 74 | 2962 | 0 | 1019 | 915 | 999 | 2470 | 760 | 1592 | 2035 | 588 | 103 | 17.52% | 661 | 91 | 86.23% | 11 | 1884 | 3219 | 58.53% | 1788 | 3167 | 56.46% | 703 | 1248 | 56.33% | 1975 | 1311 | 1941 | 666 | 1048 | 525 |
| 5 | 82 | 55 | 19 | 0 | 1 | 2 | 3 | 2 | 284 | 179 | 105 | 41 | 26 | 9 | 0 | 0 | 2 | 2 | 2 | 146 | 95 | 51 | 41 | 29 | 10 | 0 | 1 | 0 | 1 | 0 | 138 | 84 | 54 | 122 | 284 | 506 | 790 | 0 | 9 | 0 | 120 | 83 | 77 | 3080 | 0 | 980 | 1030 | 1054 | 2240 | 614 | 545 | 1956 | 223 | 44 | 19.73% | 244 | 54 | 77.87% | 3 | 1832 | 2943 | 62.25% | 1372 | 2487 | 55.17% | 729 | 1250 | 58.32% | 2216 | 1626 | 1724 | 544 | 1014 | 530 |
| 6 | 82 | 39 | 34 | 0 | 2 | 1 | 3 | 3 | 295 | 209 | 86 | 41 | 19 | 18 | 0 | 1 | 0 | 1 | 2 | 151 | 110 | 41 | 41 | 20 | 16 | 0 | 1 | 1 | 2 | 1 | 144 | 99 | 45 | 92 | 295 | 536 | 831 | 5 | 3 | 0 | 123 | 85 | 82 | 3301 | 0 | 1070 | 1045 | 1154 | 2782 | 794 | 495 | 2175 | 215 | 46 | 21.40% | 214 | 28 | 86.92% | 3 | 1456 | 3109 | 46.83% | 1328 | 2940 | 45.17% | 632 | 1279 | 49.41% | 2179 | 1575 | 1770 | 538 | 1010 | 531 |
| 7 | 82 | 47 | 20 | 0 | 1 | 2 | 5 | 7 | 320 | 197 | 123 | 41 | 30 | 8 | 0 | 0 | 0 | 1 | 2 | 178 | 84 | 94 | 41 | 17 | 12 | 0 | 1 | 2 | 4 | 5 | 142 | 113 | 29 | 115 | 320 | 563 | 883 | 2 | 8 | 0 | 138 | 93 | 83 | 3599 | 0 | 1166 | 1187 | 1200 | 2782 | 824 | 493 | 2171 | 207 | 42 | 20.29% | 213 | 34 | 84.04% | 5 | 1741 | 3245 | 53.65% | 1472 | 2977 | 49.45% | 743 | 1332 | 55.78% | 2194 | 1604 | 1776 | 545 | 1011 | 525 |
| 8 | 82 | 38 | 31 | 0 | 1 | 1 | 2 | 9 | 359 | 282 | 77 | 41 | 18 | 17 | 0 | 0 | 1 | 1 | 4 | 166 | 140 | 26 | 41 | 20 | 14 | 0 | 1 | 0 | 1 | 5 | 193 | 142 | 51 | 92 | 359 | 567 | 926 | 1 | 3 | 0 | 156 | 116 | 84 | 3864 | 0 | 1273 | 1307 | 1248 | 3394 | 996 | 386 | 1854 | 178 | 33 | 18.54% | 171 | 34 | 80.12% | 4 | 1794 | 3199 | 56.08% | 1719 | 3199 | 53.74% | 799 | 1409 | 56.71% | 2048 | 1521 | 1967 | 532 | 963 | 481 |
| 9 | 82 | 54 | 14 | 0 | 1 | 2 | 3 | 8 | 439 | 258 | 181 | 41 | 34 | 4 | 0 | 0 | 0 | 2 | 1 | 243 | 112 | 131 | 41 | 20 | 10 | 0 | 1 | 2 | 1 | 7 | 196 | 146 | 50 | 126 | 439 | 772 | 1211 | 0 | 6 | 0 | 184 | 145 | 106 | 4294 | 0 | 1424 | 1428 | 1398 | 2999 | 867 | 463 | 1868 | 204 | 49 | 24.02% | 202 | 40 | 80.20% | 2 | 2166 | 3521 | 61.52% | 1695 | 2963 | 57.21% | 887 | 1451 | 61.13% | 2209 | 1648 | 1796 | 528 | 972 | 501 |
| 10 | 82 | 46 | 26 | 0 | 2 | 3 | 3 | 2 | 311 | 245 | 66 | 41 | 19 | 13 | 0 | 2 | 3 | 2 | 2 | 139 | 110 | 29 | 41 | 27 | 13 | 0 | 0 | 0 | 1 | 0 | 172 | 135 | 37 | 107 | 311 | 539 | 850 | 2 | 3 | 120 | 96 | 90 | 6 | 3250 | 1085 | 1027 | 1119 | 42 | 2796 | 805 | 386 | 2013 | 187 | 36 | 19.25% | 157 | 28 | 82.17% | 1 | 1553 | 3112 | 49.90% | 1433 | 2876 | 49.83% | 671 | 1347 | 49.81% | 2050 | 1485 | 1908 | 559 | 1003 | 507 |
| Total Saison régulière | 738 | 422 | 217 | 0 | 15 | 17 | 29 | 38 | 2801 | 1926 | 875 | 369 | 221 | 103 | 0 | 7 | 8 | 14 | 16 | 1430 | 913 | 517 | 369 | 201 | 114 | 0 | 8 | 9 | 15 | 22 | 1371 | 1013 | 358 | 987 | 2801 | 4887 | 7688 | 15 | 52 | 120 | 1144 | 826 | 673 | 30011 | 1085 | 9900 | 9885 | 8921 | 23981 | 7015 | 6324 | 17230 | 2511 | 490 | 19.51% | 2680 | 437 | 83.69% | 37 | 15940 | 28268 | 56.39% | 13835 | 25922 | 53.37% | 6617 | 11812 | 56.02% | 19129 | 13737 | 16446 | 5123 | 9122 | 4691 |
| Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2 | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 34 | 35 | -1 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 20 | 16 | 4 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 14 | 19 | -5 | 12 | 34 | 62 | 96 | 0 | 0 | 0 | 10 | 12 | 11 | 307 | 0 | 97 | 103 | 106 | 379 | 92 | 168 | 193 | 50 | 12 | 24.00% | 57 | 10 | 82.46% | 0 | 155 | 331 | 46.83% | 160 | 395 | 40.51% | 82 | 171 | 47.95% | 254 | 176 | 268 | 80 | 139 | 67 |
| 3 | 23 | 16 | 7 | 0 | 0 | 0 | 0 | 0 | 74 | 54 | 20 | 10 | 8 | 2 | 0 | 0 | 0 | 0 | 0 | 30 | 20 | 10 | 13 | 8 | 5 | 0 | 0 | 0 | 0 | 0 | 44 | 34 | 10 | 32 | 74 | 133 | 207 | 1 | 1 | 0 | 23 | 18 | 30 | 810 | 0 | 261 | 257 | 277 | 678 | 204 | 370 | 490 | 114 | 16 | 14.04% | 144 | 24 | 83.33% | 2 | 496 | 886 | 55.98% | 443 | 824 | 53.76% | 196 | 352 | 55.68% | 561 | 380 | 557 | 180 | 305 | 151 |
| 4 | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 29 | 25 | 4 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 12 | 3 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 14 | 13 | 1 | 12 | 29 | 51 | 80 | 1 | 1 | 0 | 7 | 10 | 10 | 367 | 0 | 122 | 98 | 127 | 395 | 117 | 285 | 286 | 68 | 6 | 8.82% | 113 | 11 | 90.27% | 1 | 255 | 450 | 56.67% | 251 | 479 | 52.40% | 97 | 159 | 61.01% | 268 | 172 | 282 | 93 | 142 | 67 |
| 5 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 15 | 21 | -6 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 12 | -3 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 4 | 15 | 26 | 41 | 0 | 0 | 0 | 6 | 4 | 3 | 168 | 0 | 54 | 40 | 43 | 220 | 48 | 106 | 176 | 18 | 7 | 38.89% | 35 | 9 | 74.29% | 0 | 62 | 210 | 29.52% | 78 | 248 | 31.45% | 32 | 94 | 34.04% | 142 | 93 | 187 | 52 | 85 | 38 |
| 6 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 18 | -1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 12 | -3 | 2 | 17 | 31 | 48 | 0 | 0 | 0 | 9 | 4 | 4 | 134 | 0 | 51 | 34 | 49 | 210 | 56 | 38 | 148 | 13 | 0 | 0.00% | 19 | 4 | 78.95% | 0 | 41 | 153 | 26.80% | 75 | 213 | 35.21% | 24 | 78 | 30.77% | 99 | 63 | 139 | 38 | 61 | 28 |
| 7 | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 34 | 35 | -1 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 14 | 5 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 15 | 21 | -6 | 12 | 34 | 60 | 94 | 0 | 1 | 0 | 11 | 10 | 10 | 467 | 0 | 126 | 160 | 155 | 377 | 121 | 87 | 264 | 40 | 8 | 20.00% | 38 | 8 | 78.95% | 0 | 272 | 484 | 56.20% | 214 | 388 | 55.15% | 99 | 175 | 56.57% | 299 | 219 | 248 | 74 | 133 | 67 |
| 9 | 24 | 16 | 8 | 0 | 0 | 0 | 0 | 0 | 91 | 67 | 24 | 14 | 10 | 4 | 0 | 0 | 0 | 0 | 0 | 60 | 41 | 19 | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 31 | 26 | 5 | 32 | 91 | 165 | 256 | 0 | 1 | 0 | 31 | 30 | 27 | 1051 | 0 | 358 | 343 | 305 | 919 | 240 | 129 | 606 | 78 | 19 | 24.36% | 53 | 7 | 86.79% | 0 | 595 | 1037 | 57.38% | 515 | 949 | 54.27% | 210 | 389 | 53.98% | 634 | 454 | 566 | 176 | 313 | 160 |
| 10 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 20 | 0 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 10 | 13 | -3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 6 | 20 | 34 | 54 | 0 | 0 | 7 | 7 | 6 | 0 | 196 | 67 | 71 | 58 | 0 | 201 | 81 | 58 | 146 | 12 | 1 | 8.33% | 26 | 7 | 73.08% | 0 | 117 | 208 | 56.25% | 115 | 224 | 51.34% | 56 | 107 | 52.34% | 167 | 115 | 164 | 51 | 88 | 44 |
| Total Séries éliminatoires | 98 | 56 | 42 | 0 | 0 | 0 | 0 | 0 | 314 | 275 | 39 | 50 | 32 | 18 | 0 | 0 | 0 | 0 | 0 | 171 | 134 | 37 | 48 | 24 | 24 | 0 | 0 | 0 | 0 | 0 | 143 | 141 | 2 | 112 | 314 | 562 | 876 | 2 | 4 | 7 | 104 | 94 | 95 | 3500 | 67 | 1140 | 1093 | 1062 | 3379 | 959 | 1241 | 2309 | 393 | 69 | 17.56% | 485 | 80 | 83.51% | 3 | 1993 | 3759 | 53.02% | 1851 | 3720 | 49.76% | 796 | 1525 | 52.20% | 2426 | 1675 | 2413 | 747 | 1270 | 625 |
Americans
Bears
Bruins
Checkers
Comets
Crunch
Devils
Marlies
Penguins
Rocket
Senators
Sound Tigers
Thunderbirds
Wolf Pack
Admirals
Barracuda
Condors
Eagles
Griffins
Gulls
Heat
IceHogs
Monsters
Moose
Rampage
Reign
Roadrunners
Stars
Wild
Wolves
