- Accueil
- Général
- Équipes
- Ligue Pro
- Ligue Mineure
- Ligue
- Records
- Recherche
- Anciennes pages
- Aide
| Senators | |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Olivier Paquin | Morale : 50 | Moyenne d’équipe : 57 Prochains matchs #13 vs Crunch |
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 moyen |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Filip Chytil | X | X | 100.00 | 63 | 42 | 92 | 82 | 76 | 65 | 80 | 67 | 58 | 66 | 62 | 63 | 25 | 64 | 64 | 0 | 50 | 64 | 0 | 22 | 2 | 1,000,000$ | |||
| 2 | Jaret Anderson-Dolan | X | X | 100.00 | 69 | 67 | 74 | 79 | 67 | 71 | 73 | 66 | 80 | 60 | 68 | 63 | 65 | 48 | 48 | 0 | 50 | 63 | 0 | 22 | 1 | 792,500$ | |||
| 3 | Quinton Byfield (R) | X | 100.00 | 65 | 43 | 85 | 79 | 81 | 63 | 70 | 59 | 69 | 61 | 64 | 63 | 75 | 48 | 48 | 0 | 50 | 62 | 0 | 19 | 2 | 925,000$ | ||||
| 4 | Isaac Ratcliffe | X | 100.00 | 81 | 45 | 72 | 67 | 79 | 57 | 71 | 65 | 25 | 75 | 59 | 63 | 25 | 44 | 44 | 0 | 50 | 61 | 0 | 22 | 2 | 780,833$ | ||||
| 5 | Brendan Perlini | X | X | 100.00 | 78 | 45 | 91 | 83 | 79 | 51 | 52 | 56 | 25 | 54 | 70 | 64 | 25 | 46 | 46 | 0 | 50 | 60 | 0 | 25 | 1 | 600,000$ | |||
| 6 | Kristian Reichel | X | 100.00 | 76 | 90 | 84 | 67 | 68 | 56 | 63 | 55 | 25 | 58 | 58 | 72 | 25 | 45 | 45 | 0 | 50 | 58 | 0 | 23 | 1 | 560,000$ | ||||
| 7 | Jayce Hawryluk | X | X | 100.00 | 75 | 44 | 89 | 66 | 70 | 50 | 54 | 55 | 44 | 56 | 54 | 61 | 24 | 59 | 59 | 0 | 50 | 56 | 0 | 25 | 1 | 600,000$ | |||
| 8 | Cameron Morrison | X | X | 100.00 | 84 | 79 | 95 | 70 | 79 | 48 | 47 | 52 | 65 | 50 | 50 | 66 | 48 | 44 | 44 | 0 | 50 | 55 | 0 | 23 | 1 | 600,000$ | |||
| 9 | Alex Beaucage (R) | X | X | 100.00 | 75 | 71 | 84 | 67 | 71 | 46 | 46 | 50 | 50 | 49 | 47 | 61 | 45 | 44 | 44 | 0 | 50 | 53 | 0 | 20 | 4 | 878,333$ | |||
| 10 | German Rubtsov | X | 100.00 | 77 | 67 | 99 | 68 | 67 | 47 | 47 | 48 | 60 | 45 | 46 | 62 | 44 | 44 | 44 | 0 | 50 | 52 | 0 | 23 | 1 | 600,000$ | ||||
| 11 | Nick DeSimone | X | 100.00 | 75 | 70 | 87 | 63 | 70 | 60 | 63 | 51 | 25 | 46 | 41 | 61 | 39 | 44 | 44 | 0 | 50 | 56 | 0 | 26 | 1 | 700,000$ | ||||
| 12 | Luke Martin (R) | X | 100.00 | 51 | 55 | 83 | 58 | 78 | 46 | 65 | 32 | 25 | 30 | 27 | 49 | 30 | 58 | 58 | 0 | 50 | 49 | 0 | 23 | 2 | 700,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 72 | 60 | 86 | 71 | 74 | 55 | 61 | 55 | 46 | 54 | 54 | 62 | 39 | 49 | 49 | 0 | 50 | 57 | ||||||||||
| 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 moyen |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Keith Kinkaid | 100.00 | 51 | 44 | 55 | 76 | 54 | 53 | 51 | 56 | 54 | 53 | 30 | 61 | 61 | 0 | 50 | 55 | 0 | 32 | 1 | 612,500$ | |
| 2 | Artyom Zagidulin | 100.00 | 53 | 52 | 64 | 70 | 54 | 54 | 50 | 55 | 52 | 51 | 32 | 48 | 41 | 0 | 50 | 53 | 0 | 26 | 3 | 842,500$ | |
| Rayé | |||||||||||||||||||||||
| 1 | Kevin Mandolese (R) | 100.00 | 49 | 43 | 54 | 75 | 51 | 49 | 50 | 54 | 51 | 51 | 30 | 44 | 44 | 0 | 50 | 52 | 0 | 21 | 3 | 835,000$ | |
| MOYENNE D’ÉQUIPE | 100.00 | 51 | 46 | 58 | 74 | 53 | 52 | 50 | 55 | 52 | 52 | 31 | 51 | 49 | 0 | 50 | 53 | ||||||
| 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 | Salaire moyen restant | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Beaucage | Senators (Ott) | LW/RW | 20 | 2001-07-25 | Yes | 192 Lbs | 6 ft1 | No | No | No | 4 | Pro & Farm | 878,333$ | 878,333$ | 87,833$ | 87,833$ | No | 878,333$ | 878,333$ | 878,333$ | Lien | ||||||
| Artyom Zagidulin | Senators (Ott) | G | 26 | 1995-08-07 | No | 180 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 842,500$ | 842,500$ | 84,250$ | 84,250$ | No | 842,500$ | 842,500$ | Lien | |||||||
| Brendan Perlini | Senators (Ott) | LW/RW | 25 | 1996-04-27 | No | 211 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 60,000$ | 60,000$ | No | Lien | |||||||||
| Cameron Morrison | Senators (Ott) | C/LW | 23 | 1998-08-27 | No | 210 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 60,000$ | 60,000$ | No | Lien | |||||||||
| Filip Chytil | Senators (Ott) | C/LW | 22 | 1999-09-05 | No | 206 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 1,000,000$ | 1,000,000$ | 100,000$ | 100,000$ | No | 1,000,000$ | Lien | ||||||||
| German Rubtsov | Senators (Ott) | C | 23 | 1998-06-27 | No | 178 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 60,000$ | 60,000$ | No | Lien | |||||||||
| Isaac Ratcliffe | Senators (Ott) | LW | 22 | 1999-02-15 | No | 200 Lbs | 6 ft6 | No | No | No | 2 | Pro & Farm | 780,833$ | 780,833$ | 78,083$ | 78,083$ | No | 780,833$ | Lien | ||||||||
| Jaret Anderson-Dolan | Senators (Ott) | C/LW | 22 | 1999-09-12 | No | 188 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 792,500$ | 792,500$ | 79,250$ | 79,250$ | No | Lien | |||||||||
| Jayce Hawryluk | Senators (Ott) | LW/RW | 25 | 1996-01-01 | No | 196 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 60,000$ | 60,000$ | No | Lien | |||||||||
| Keith Kinkaid | Senators (Ott) | G | 32 | 1989-07-03 | No | 186 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 612,500$ | 612,500$ | 61,250$ | 61,250$ | No | Lien | |||||||||
| Kevin Mandolese | Senators (Ott) | G | 21 | 2000-08-22 | Yes | 180 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 835,000$ | 835,000$ | 83,500$ | 83,500$ | No | 835,000$ | 835,000$ | Lien | |||||||
| Kristian Reichel | Senators (Ott) | C | 23 | 1998-06-11 | No | 176 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 560,000$ | 560,000$ | 56,000$ | 56,000$ | No | Lien | |||||||||
| Luke Martin | Senators (Ott) | D | 23 | 1998-09-20 | Yes | 218 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 70,000$ | 70,000$ | No | 700,000$ | Lien | ||||||||
| Nick DeSimone | Senators (Ott) | D | 26 | 1994-11-21 | No | 185 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 700,000$ | 700,000$ | 70,000$ | 70,000$ | No | Lien | |||||||||
| Quinton Byfield | Senators (Ott) | C | 19 | 2002-08-19 | Yes | 215 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 92,500$ | 92,500$ | No | 925,000$ | Lien |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 15 | 23.47 | 195 Lbs | 6 ft2 | 1.73 | 735,111$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 40 | 1 | 1 | 3 | |||
| 2 | 35 | 1 | 2 | 2 | |||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | Kristian Reichel | 5 | 1 | 2 | 2 | ||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | |||
| 3 | 10 | 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 | 1 | 3 | |||
| 2 | 40 | 1 | 1 | 3 | |||
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 60 | 1 | 1 | 3 | |||
| 2 | 40 | 1 | 1 | 3 | |||
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 3 | 1 | ||
| 2 | 40 | 1 | 3 | 1 | ||
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 3 | 1 | ||
| 2 | 40 | 1 | 3 | 1 | ||
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 3 | 1 | 60 | 1 | 3 | 1 | |||
| 2 | 40 | 1 | 3 | 1 | 40 | 1 | 3 | 1 | |||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Tirs de pénalité |
|---|
| , , , , |
| Gardien |
|---|
| #1 : , #2 : |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 7 - 2022-10-13 | 13 | Senators | - | Crunch | - | |||||
| 9 - 2022-10-15 | 30 | Senators | - | Marlies | - | |||||
| 12 - 2022-10-18 | 49 | Bruins | - | Senators | - | |||||
| 14 - 2022-10-20 | 65 | Bears | - | Senators | - | |||||
| 16 - 2022-10-22 | 77 | Jayhawks | - | Senators | - | |||||
| 18 - 2022-10-24 | 92 | Stars | - | Senators | - | |||||
| 21 - 2022-10-27 | 113 | Minnesota | - | Senators | - | |||||
| 23 - 2022-10-29 | 129 | Senators | - | Cabaret Lady Mary Ann | - | |||||
| 26 - 2022-11-01 | 148 | Senators | - | Thunder | - | |||||
| 28 - 2022-11-03 | 163 | Las Vegas | - | Senators | - | |||||
| 30 - 2022-11-05 | 183 | Phantoms | - | Senators | - | |||||
| 33 - 2022-11-08 | 200 | Comets | - | Senators | - | |||||
| 35 - 2022-11-10 | 213 | Senators | - | Spiders | - | |||||
| 37 - 2022-11-12 | 225 | Senators | - | Phantoms | - | |||||
| 39 - 2022-11-14 | 244 | Sound Tigers | - | Senators | - | |||||
| 41 - 2022-11-16 | 257 | Crunch | - | Senators | - | |||||
| 44 - 2022-11-19 | 274 | Spiders | - | Senators | - | |||||
| 46 - 2022-11-21 | 299 | Senators | - | Sharks | - | |||||
| 48 - 2022-11-23 | 315 | Senators | - | Las Vegas | - | |||||
| 50 - 2022-11-25 | 323 | Senators | - | Admirals | - | |||||
| 52 - 2022-11-27 | 345 | Senators | - | Monarchs | - | |||||
| 55 - 2022-11-30 | 362 | Wolf Pack | - | Senators | - | |||||
| 57 - 2022-12-02 | 376 | Senators | - | Wolf Pack | - | |||||
| 58 - 2022-12-03 | 383 | Sharks | - | Senators | - | |||||
| 61 - 2022-12-06 | 406 | Monarchs | - | Senators | - | |||||
| 63 - 2022-12-08 | 423 | Senators | - | Stars | - | |||||
| 65 - 2022-12-10 | 434 | Senators | - | Chill | - | |||||
| 67 - 2022-12-12 | 451 | Admirals | - | Senators | - | |||||
| 69 - 2022-12-14 | 466 | Rocket | - | Senators | - | |||||
| 72 - 2022-12-17 | 485 | Senators | - | Cougars | - | |||||
| 73 - 2022-12-18 | 497 | Senators | - | Minnesota | - | |||||
| 75 - 2022-12-20 | 514 | Senators | - | Oceanics | - | |||||
| 77 - 2022-12-22 | 528 | Bears | - | Senators | - | |||||
| 78 - 2022-12-23 | 534 | Cougars | - | Senators | - | |||||
| 82 - 2022-12-27 | 546 | Bruins | - | Senators | - | |||||
| 84 - 2022-12-29 | 566 | Senators | - | Bears | - | |||||
| 86 - 2022-12-31 | 585 | Senators | - | Cougars | - | |||||
| 87 - 2023-01-01 | 593 | Crunch | - | Senators | - | |||||
| 89 - 2023-01-03 | 601 | Monsters | - | Senators | - | |||||
| 93 - 2023-01-07 | 632 | Seattle | - | Senators | - | |||||
| 95 - 2023-01-09 | 645 | Chill | - | Senators | - | |||||
| 98 - 2023-01-12 | 672 | Senators | - | Jayhawks | - | |||||
| 100 - 2023-01-14 | 678 | Senators | - | Monsters | - | |||||
| 102 - 2023-01-16 | 704 | Senators | - | Chiefs | - | |||||
| 104 - 2023-01-18 | 712 | Manchots | - | Senators | - | |||||
| 106 - 2023-01-20 | 730 | Senators | - | Manchots | - | |||||
| 107 - 2023-01-21 | 738 | Oceanics | - | Senators | - | |||||
| 111 - 2023-01-25 | 766 | Sound Tigers | - | Senators | - | |||||
| 113 - 2023-01-27 | 782 | Senators | - | Marlies | - | |||||
| 114 - 2023-01-28 | 792 | Rocket | - | Senators | - | |||||
| 117 - 2023-01-31 | 803 | Senators | - | Rocket | - | |||||
| 128 - 2023-02-11 | 834 | Oil Kings | - | Senators | - | |||||
| 130 - 2023-02-13 | 850 | Heat | - | Senators | - | |||||
| 131 - 2023-02-14 | 858 | Senators | - | Sound Tigers | - | |||||
| 134 - 2023-02-17 | 878 | Baby Hawks | - | Senators | - | |||||
| 136 - 2023-02-19 | 897 | Chiefs | - | Senators | - | |||||
| 137 - 2023-02-20 | 903 | Senators | - | Bruins | - | |||||
| 141 - 2023-02-24 | 933 | Senators | - | Caroline | - | |||||
| 142 - 2023-02-25 | 940 | Senators | - | Rocket | - | |||||
| 145 - 2023-02-28 | 959 | Cougars | - | Senators | - | |||||
| 147 - 2023-03-02 | 976 | Senators | - | Wolf Pack | - | |||||
| 149 - 2023-03-04 | 996 | Monsters | - | Senators | - | |||||
| 151 - 2023-03-06 | 1009 | Senators | - | Baby Hawks | - | |||||
| 154 - 2023-03-09 | 1035 | Senators | - | Seattle | - | |||||
| 156 - 2023-03-11 | 1050 | Senators | - | Comets | - | |||||
| 157 - 2023-03-12 | 1058 | Senators | - | Heat | - | |||||
| 159 - 2023-03-14 | 1071 | Senators | - | Oil Kings | - | |||||
| 161 - 2023-03-16 | 1080 | Monsters | - | Senators | - | |||||
| 163 - 2023-03-18 | 1102 | Marlies | - | Senators | - | |||||
| 165 - 2023-03-20 | 1115 | Senators | - | Manchots | - | |||||
| Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée! | ||||||||||
| 166 - 2023-03-21 | 1125 | Senators | - | Bruins | - | |||||
| 168 - 2023-03-23 | 1139 | Thunder | - | Senators | - | |||||
| 170 - 2023-03-25 | 1160 | Senators | - | Spiders | - | |||||
| 172 - 2023-03-27 | 1170 | Cabaret Lady Mary Ann | - | Senators | - | |||||
| 175 - 2023-03-30 | 1193 | Phantoms | - | Senators | - | |||||
| 177 - 2023-04-01 | 1210 | Marlies | - | Senators | - | |||||
| 178 - 2023-04-02 | 1220 | Senators | - | Monsters | - | |||||
| 180 - 2023-04-04 | 1232 | Senators | - | Caroline | - | |||||
| 182 - 2023-04-06 | 1245 | Senators | - | Cabaret Lady Mary Ann | - | |||||
| 184 - 2023-04-08 | 1267 | Thunder | - | Senators | - | |||||
| 186 - 2023-04-10 | 1277 | Caroline | - | Senators | - | |||||
| 189 - 2023-04-13 | 1302 | Senators | - | Crunch | - | |||||
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| Prix des billets | 50 | 20 |
| 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$ | 1,102,666$ | 1,102,666$ | 0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 5,804$ | 0$ | 15 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 190 | 5,804$ | 1,102,760$ |
| # | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
| Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| # | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
