![]() | Belleville Senators |
GP: 5 | W: 5 | L: 0 | OTL: 0 | P: 10 GF: 24 | GA: 11 | PP%: 23.53% | PK%: 91.67% DG: | Morale : 48 | Moyenne d’équipe : 61 Prochains matchs #62 vs Bridgeport Islanders |
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Priority | Type | Description |
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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 | Angus Crookshank | 0 | X | 100.00 | 65 | 38 | 77 | 66 | 69 | 87 | 85 | 64 | 63 | 61 | 66 | 60 | 62 | 65 | 67 | 56 | 49 | 62 | 0 | 25 | 3 | 2,612,000$ | ||||
2 | Rourke Chartier | 0 | X | 100.00 | 66 | 37 | 95 | 62 | 75 | 82 | 79 | 61 | 83 | 58 | 63 | 68 | 61 | 68 | 69 | 45 | 43 | 61 | 0 | 29 | 3 | 3,619,000$ | ||||
Rayé | ||||||||||||||||||||||||||||||
1 | Jiri Smejkal | 0 | X | 94.70 | 76 | 40 | 91 | 58 | 88 | 78 | 72 | 57 | 61 | 58 | 59 | 62 | 56 | 68 | 70 | 36 | 43 | 60 | 0 | 28 | 3 | 3,195,000$ | ||||
MOYENNE D’ÉQUIPE | 98.00 | 69 | 38 | 88 | 62 | 77 | 82 | 79 | 61 | 69 | 59 | 63 | 63 | 60 | 67 | 69 | 46 | 45 | 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 | Mads Sogaard | 0 | 98.00 | 78 | 85 | 81 | 95 | 77 | 76 | 78 | 77 | 76 | 78 | 77 | 64 | 71 | 74 | 48 | 62 | 0 | 24 | 2 | 2,387,057$ | |
Rayé | ||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 98.00 | 78 | 85 | 81 | 95 | 77 | 76 | 78 | 77 | 76 | 78 | 77 | 64 | 71 | 74 | 48 | 62 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Chris Kelly | 74 | 79 | 77 | 65 | 64 | 60 | 83 | CAN | 43 | 1 | 1$ |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Angus Crookshank | ![]() | LW | 5 | 5 | 5 | 10 | 6 | 0 | 0 | 5 | 10 | 36 | 14 | 32 | 13.89% | 3 | 110 | 22.09 | 2 | 1 | 3 | 10 | 14 | 0 | 0 | 0 | 0 | 11 | 1 | 0 | 100.00% | 8 | 0 | 0 | 0 | 0 | 1.81 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
2 | Rourke Chartier | ![]() | C | 5 | 6 | 4 | 10 | 7 | 0 | 0 | 6 | 17 | 29 | 11 | 25 | 20.69% | 8 | 104 | 20.99 | 1 | 0 | 1 | 5 | 16 | 0 | 0 | 0 | 0 | 11 | 1 | 0 | 65.29% | 121 | 0 | 0 | 0 | 0 | 1.91 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 |
3 | Mark Kastelic | ![]() | C | 5 | 4 | 5 | 9 | 4 | 6 | 0 | 19 | 16 | 37 | 6 | 17 | 10.81% | 5 | 110 | 22.02 | 1 | 3 | 4 | 3 | 13 | 0 | 0 | 0 | 1 | 8 | 1 | 0 | 63.50% | 137 | 0 | 0 | 0 | 1 | 1.63 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
4 | Jiri Smejkal | ![]() | LW | 5 | 4 | 3 | 7 | 7 | 4 | 0 | 8 | 7 | 18 | 6 | 18 | 22.22% | 5 | 83 | 16.68 | 0 | 0 | 0 | 4 | 14 | 0 | 0 | 0 | 0 | 4 | 1 | 1 | 100.00% | 1 | 0 | 0 | 0 | 0 | 1.68 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
Statistiques d’équipe totales ou en moyenne | 20 | 19 | 17 | 36 | 24 | 10 | 0 | 38 | 50 | 120 | 37 | 92 | 15.83% | 21 | 408 | 20.45 | 4 | 4 | 8 | 22 | 58 | 0 | 0 | 0 | 1 | 35 | 4 | 1 | 65.54% | 267 | 0 | 0 | 0 | 1 | 1.76 | 1 | 3 | 0 | 0 | 0 | 4 | 3 | 3 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mads Sogaard | ![]() | 5 | 5 | 0 | 0 | 0.931 | 2.16 | 305 | 0 | 0 | 11 | 160 | 0 | 3 | 0 | 1.000 | 3 | 5 | 0 | 0 | 1 | 1 |
Statistiques d’équipe totales ou en moyenne | 5 | 5 | 0 | 0 | 0.931 | 2.16 | 305 | 0 | 0 | 11 | 160 | 0 | 3 | 0 | 3 | 5 | 0 | 0 | 1 | 1 |
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 | Pays | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Plafond salarial | Plafond salarial restant | Exclus du plafond 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 | Plafond salarial année 2 | Plafond salarial année 3 | Plafond salarial année 4 | Plafond salarial année 5 | Plafond salarial année 6 | Plafond salarial année 7 | Plafond salarial année 8 | Plafond salarial année 9 | Plafond salarial année 10 | Non-échange année 2 | Non-échange année 3 | Non-échange année 4 | Non-échange année 5 | Non-échange année 6 | Non-échange année 7 | Non-échange année 8 | Non-échange année 9 | Non-échange année 10 | Lien |
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Angus Crookshank | ![]() | LW | 25 | 1999-10-02 | CAN | No | 181 Lbs | 5 ft10 | No | No | Assign Manually | No | No | 3 | 2025-03-28 | False | False | Pro & Farm | 2,612,000$ | 0$ | 0$ | No | 2,612,000$ | 2,612,000$ | - | - | - | - | - | - | - | 2,612,000$ | 2,612,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
Jiri Smejkal | ![]() | LW | 28 | 1996-11-05 | CZE | No | 209 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 3 | 2025-03-28 | False | False | Pro & Farm | 3,195,000$ | 0$ | 0$ | No | 3,195,000$ | 3,195,000$ | - | - | - | - | - | - | - | 3,195,000$ | 3,195,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
Mads Sogaard | ![]() | G | 24 | 2000-12-13 | DNK | No | 196 Lbs | 6 ft7 | No | No | Assign Manually | No | No | 2 | 2025-03-28 | False | False | Pro & Farm | 2,387,057$ | 0$ | 0$ | No | 2,387,057$ | - | - | - | - | - | - | - | - | 2,387,057$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
Rourke Chartier | ![]() | C | 29 | 1996-04-03 | CAN | No | 201 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 3 | 2025-03-28 | False | False | Pro & Farm | 3,619,000$ | 0$ | 0$ | No | 3,619,000$ | 3,619,000$ | - | - | - | - | - | - | - | 3,619,000$ | 3,619,000$ | 3,512,000$ | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
4 | 26.50 | 197 Lbs | 6 ft2 | 2.75 | 2,953,264$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Angus Crookshank | 40 | 1 | 2 | 2 | ||
2 | Rourke Chartier | 30 | 1 | 2 | 2 | ||
3 | 20 | 1 | 2 | 2 | |||
4 | Angus Crookshank | Rourke Chartier | 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 | Angus Crookshank | 60 | 1 | 2 | 2 | ||
2 | Rourke Chartier | 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 | Angus Crookshank | 60 | 1 | 2 | 2 | |
2 | Rourke Chartier | 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 | Angus Crookshank | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Angus Crookshank | 60 | 1 | 2 | 2 | |
2 | Rourke Chartier | 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 |
Angus Crookshank |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Angus Crookshank |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Rourke Chartier, , | Rourke Chartier, |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Tirs de pénalité |
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, Angus Crookshank, Rourke Chartier, , |
Gardien |
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#1 : Mads Sogaard, #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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | 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 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 2 | 1.000 | 7 | 9 | 16 | 0 | 0 | 10 | 9 | 4 | 1 | 43 | 67 | 40 | 70 | 4 | 21 | 4 | 8 | 23 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 78 | 155 | 50.32% | 92 | 171 | 53.80% | 37 | 84 | 44.05% | 124 | 94 | 126 | 31 | 54 | 26 |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 7 | 8 | 15 | 0 | 0 | 10 | 9 | 4 | 1 | 37 | 67 | 40 | 70 | 4 | 30 | 13 | 10 | 12 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 78 | 155 | 50.32% | 92 | 171 | 53.80% | 37 | 84 | 44.05% | 124 | 94 | 126 | 31 | 54 | 26 |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 10 | 9 | 4 | 1 | 32 | 67 | 40 | 70 | 4 | 33 | 8 | 0 | 15 | 5 | 1 | 20.00% | 0 | 0 | 0% | 0 | 78 | 155 | 50.32% | 92 | 171 | 53.80% | 37 | 84 | 44.05% | 124 | 94 | 126 | 31 | 54 | 26 |
4 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 4 | 8 | 0 | 0 | 10 | 9 | 4 | 1 | 27 | 67 | 40 | 70 | 4 | 36 | 9 | 0 | 15 | 7 | 1 | 14.29% | 0 | 0 | 0% | 0 | 78 | 155 | 50.32% | 92 | 171 | 53.80% | 37 | 84 | 44.05% | 124 | 94 | 126 | 31 | 54 | 26 |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 10 | 9 | 4 | 1 | 39 | 67 | 40 | 70 | 4 | 40 | 11 | 10 | 20 | 1 | 1 | 100.00% | 5 | 0 | 100.00% | 0 | 78 | 155 | 50.32% | 92 | 171 | 53.80% | 37 | 84 | 44.05% | 124 | 94 | 126 | 31 | 54 | 26 |
Total | 5 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 24 | 11 | 13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 17 | 9 | 8 | 10 | 1.000 | 24 | 28 | 52 | 0 | 0 | 10 | 9 | 4 | 1 | 178 | 67 | 40 | 70 | 4 | 160 | 45 | 28 | 85 | 17 | 4 | 23.53% | 12 | 1 | 91.67% | 0 | 78 | 155 | 50.32% | 92 | 171 | 53.80% | 37 | 84 | 44.05% | 124 | 94 | 126 | 31 | 54 | 26 | |
_Since Last GM Reset | 5 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 24 | 11 | 13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 17 | 9 | 8 | 10 | 1.000 | 24 | 28 | 52 | 0 | 0 | 10 | 9 | 4 | 1 | 178 | 67 | 40 | 70 | 4 | 160 | 45 | 28 | 85 | 17 | 4 | 23.53% | 12 | 1 | 91.67% | 0 | 78 | 155 | 50.32% | 92 | 171 | 53.80% | 37 | 84 | 44.05% | 124 | 94 | 126 | 31 | 54 | 26 | |
_Vs Conference | 4 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 21 | 9 | 12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 14 | 7 | 7 | 8 | 1.000 | 21 | 25 | 46 | 0 | 0 | 10 | 9 | 4 | 1 | 146 | 67 | 40 | 70 | 4 | 127 | 37 | 28 | 70 | 12 | 3 | 25.00% | 12 | 1 | 91.67% | 0 | 78 | 155 | 50.32% | 92 | 171 | 53.80% | 37 | 84 | 44.05% | 124 | 94 | 126 | 31 | 54 | 26 | |
_Vs Division | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 11 | 5 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 6 | 1.500 | 11 | 12 | 23 | 0 | 0 | 10 | 9 | 4 | 1 | 64 | 67 | 40 | 70 | 4 | 66 | 22 | 10 | 27 | 10 | 2 | 20.00% | 4 | 1 | 75.00% | 0 | 78 | 155 | 50.32% | 92 | 171 | 53.80% | 37 | 84 | 44.05% | 124 | 94 | 126 | 31 | 54 | 26 |
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 |
5 | 10 | W2 | 24 | 28 | 52 | 178 | 160 | 45 | 28 | 85 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 4 | 0 | 0 | 0 | 1 | 0 | 24 | 11 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 2 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
4 | 3 | 0 | 0 | 0 | 1 | 0 | 17 | 9 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
4 | 0 | 0 | 0 | 1 | 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 |
---|---|---|---|---|---|---|
17 | 4 | 23.53% | 12 | 1 | 91.67% | 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 |
---|---|---|---|---|---|---|---|
67 | 40 | 70 | 4 | 10 | 9 | 4 | 1 |
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 |
78 | 155 | 50.32% | 92 | 171 | 53.80% | 37 | 84 | 44.05% |
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 |
124 | 94 | 126 | 31 | 54 | 26 |
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 |
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 35 | 15 |
Assistance | 0 | 0 |
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 |
37 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
69,662$ | 1,181,306$ | 1,181,306$ | 1$0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 69,662$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 220 | 5,092$ | 1,120,240$ |
# | 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 |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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