![]() | Requins |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Karl Freniere | Morale : 50 | Moyenne d’équipe : 65 Prochains matchs #6 vs Hybrides |
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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 | Kyle Okposo | 0 | X | 100.00 | 71 | 54 | 83 | 81 | 79 | 75 | 80 | 73 | 55 | 52 | 50 | 75 | 72 | 81 | 81 | 0 | 50 | 73 | 0 | 34 | 2 | 850,000$ | ||||
2 | Nicolas Roy | 0 | X | X | X | 100.00 | 76 | 54 | 81 | 79 | 79 | 73 | 90 | 73 | 83 | 51 | 48 | 75 | 75 | 60 | 62 | 0 | 50 | 72 | 0 | 25 | 2 | 750,000$ | ||
3 | Zach Parise | 0 | X | 100.00 | 69 | 42 | 89 | 81 | 69 | 70 | 89 | 73 | 39 | 50 | 48 | 75 | 72 | 89 | 94 | 0 | 50 | 71 | 0 | 38 | 2 | 775,000$ | ||||
4 | Evan Rodrigues | 0 | X | X | X | 100.00 | 76 | 43 | 94 | 81 | 66 | 72 | 84 | 78 | 61 | 51 | 49 | 68 | 75 | 67 | 68 | 0 | 50 | 70 | 0 | 29 | 1 | 650,000$ | ||
5 | Brandon Hagel | 0 | X | 100.00 | 71 | 52 | 87 | 79 | 63 | 73 | 90 | 71 | 40 | 50 | 52 | 79 | 25 | 59 | 59 | 0 | 50 | 70 | 0 | 24 | 2 | 1,500,000$ | ||||
6 | Tyson Jost | 0 | X | X | 100.00 | 69 | 42 | 87 | 85 | 67 | 63 | 93 | 60 | 60 | 49 | 47 | 83 | 75 | 66 | 68 | 0 | 50 | 68 | 0 | 24 | 1 | 874,125$ | |||
7 | Ross Colton | 0 | X | X | 100.00 | 84 | 45 | 90 | 79 | 70 | 64 | 82 | 71 | 81 | 50 | 50 | 68 | 53 | 57 | 59 | 0 | 50 | 67 | 0 | 26 | 1 | 700,000$ | |||
8 | Warren Foegele | 0 | X | X | 100.00 | 80 | 44 | 90 | 77 | 73 | 63 | 93 | 65 | 40 | 49 | 48 | 68 | 25 | 65 | 67 | 0 | 50 | 66 | 0 | 26 | 2 | 945,000$ | |||
9 | Zach Whitecloud | 0 | X | 100.00 | 82 | 45 | 89 | 75 | 76 | 77 | 81 | 59 | 25 | 42 | 40 | 83 | 25 | 58 | 60 | 0 | 50 | 64 | 0 | 25 | 1 | 725,000$ | ||||
10 | Niko Mikkola | 0 | X | 100.00 | 85 | 56 | 72 | 73 | 73 | 71 | 68 | 60 | 25 | 42 | 39 | 85 | 25 | 55 | 56 | 0 | 50 | 62 | 0 | 28 | 2 | 787,500$ | ||||
11 | Dylan Coghlan | 0 | X | 100.00 | 76 | 44 | 90 | 73 | 72 | 65 | 70 | 67 | 25 | 42 | 39 | 72 | 25 | 55 | 55 | 0 | 50 | 61 | 0 | 24 | 1 | 715,556$ | ||||
12 | Simon Benoit | 0 | X | 100.00 | 97 | 70 | 87 | 72 | 74 | 64 | 75 | 56 | 25 | 40 | 38 | 73 | 25 | 50 | 50 | 0 | 50 | 59 | 0 | 24 | 2 | 925,000$ | ||||
13 | Isaak Phillips (R) | 0 | X | 100.00 | 75 | 73 | 79 | 64 | 73 | 69 | 73 | 53 | 25 | 31 | 31 | 62 | 48 | 44 | 44 | 0 | 50 | 55 | 0 | 20 | 2 | 925,000$ | ||||
Rayé | ||||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 78 | 51 | 86 | 77 | 72 | 69 | 82 | 66 | 45 | 46 | 45 | 74 | 48 | 62 | 63 | 0 | 50 | 66 |
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 | Calvin Petersen | 100.00 | 63 | 74 | 71 | 70 | 65 | 60 | 74 | 64 | 65 | 63 | 75 | 54 | 54 | 0 | 50 | 66 | 0 | 27 | 1 | 858,333$ | |
2 | Filip Gustavsson | 100.00 | 60 | 55 | 54 | 72 | 65 | 54 | 83 | 63 | 65 | 60 | 95 | 46 | 46 | 0 | 50 | 64 | 0 | 24 | 1 | 910,833$ | |
Rayé | |||||||||||||||||||||||
1 | Akira Schmid (R) | 100.00 | 55 | 41 | 51 | 86 | 60 | 57 | 55 | 60 | 60 | 59 | 30 | 44 | 44 | 0 | 50 | 59 | 0 | 22 | 2 | 777,777$ | |
MOYENNE D’ÉQUIPE | 100.00 | 59 | 57 | 59 | 76 | 63 | 57 | 71 | 62 | 63 | 61 | 67 | 48 | 48 | 0 | 50 | 63 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Dominique Ducharme | 70 | 70 | 70 | 70 | 70 | 70 | 70 | CAN | 49 | 2 | 450,000$ |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
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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 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 |
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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 | 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 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Akira Schmid | ![]() | G | 22 | 5/12/2000 | Yes | 205 Lbs | 196 CM | No | No | No | 2 | Pro & Farm | 777,777$ | 777,777$ | 0$ | 0$ | No | 777,777$ | Lien | ||||||||
Brandon Hagel | ![]() | LW | 24 | 8/26/1998 | No | 174 Lbs | 180 CM | No | No | No | 2 | Pro & Farm | 1,500,000$ | 1,500,000$ | 0$ | 0$ | No | 1,500,000$ | Lien / Lien NHL | ||||||||
Calvin Petersen | ![]() | G | 27 | 10/19/1994 | No | 185 Lbs | 185 CM | No | No | No | 1 | Pro & Farm | 858,333$ | 858,333$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Dylan Coghlan | ![]() | D | 24 | 2/19/1998 | No | 190 Lbs | 188 CM | No | No | No | 1 | Pro & Farm | 715,556$ | 715,556$ | 0$ | 0$ | No | Lien | |||||||||
Evan Rodrigues | ![]() | C/LW/RW | 29 | 7/28/1993 | No | 184 Lbs | 180 CM | No | No | No | 1 | Pro & Farm | 650,000$ | 650,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Filip Gustavsson | ![]() | G | 24 | 6/7/1998 | No | 184 Lbs | 188 CM | No | No | No | 1 | Pro & Farm | 910,833$ | 910,833$ | 0$ | 0$ | No | Lien | |||||||||
Isaak Phillips | ![]() | D | 20 | 9/28/2001 | Yes | 194 Lbs | 191 CM | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien | ||||||||
Kyle Okposo | ![]() | RW | 34 | 4/16/1988 | No | 220 Lbs | 183 CM | No | No | No | 2 | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | 850,000$ | Lien / Lien NHL | ||||||||
Nicolas Roy | ![]() | C/LW/RW | 25 | 2/5/1997 | No | 208 Lbs | 193 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien / Lien NHL | ||||||||
Niko Mikkola | ![]() | D | 28 | 4/27/1994 | No | 185 Lbs | 193 CM | No | No | No | 2 | Pro & Farm | 787,500$ | 787,500$ | 0$ | 0$ | No | 787,500$ | Lien / Lien NHL | ||||||||
Ross Colton | ![]() | C/LW | 26 | 9/11/1996 | No | 191 Lbs | 183 CM | No | No | No | 1 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | Lien | |||||||||
Simon Benoit | ![]() | D | 24 | 9/19/1998 | No | 191 Lbs | 191 CM | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien | ||||||||
Tyson Jost | ![]() | C/LW | 24 | 3/14/1998 | No | 187 Lbs | 180 CM | No | No | No | 1 | Pro & Farm | 874,125$ | 874,125$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Warren Foegele | ![]() | LW/RW | 26 | 4/1/1996 | No | 198 Lbs | 188 CM | No | No | No | 2 | Pro & Farm | 945,000$ | 945,000$ | 0$ | 0$ | No | 945,000$ | Lien / Lien NHL | ||||||||
Zach Parise | ![]() | LW | 38 | 7/28/1984 | No | 193 Lbs | 180 CM | No | No | No | 2 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | Lien / Lien NHL | ||||||||
Zach Whitecloud | ![]() | D | 25 | 11/28/1996 | No | 209 Lbs | 188 CM | No | No | No | 1 | Pro & Farm | 725,000$ | 725,000$ | 0$ | 0$ | No | Lien / Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
16 | 26.25 | 194 Lbs | 188 CM | 1.56 | 854,320$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Tirs de pénalité |
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, , , , |
Gardien |
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#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 |
---|---|---|---|---|---|---|---|---|---|---|
2 - 2022-10-11 | 6 | ![]() | - | ![]() | - | |||||
4 - 2022-10-13 | 13 | ![]() | - | ![]() | - | |||||
6 - 2022-10-15 | 24 | ![]() | - | ![]() | - | |||||
8 - 2022-10-17 | 31 | ![]() | - | ![]() | - | |||||
10 - 2022-10-19 | 40 | ![]() | - | ![]() | - | |||||
12 - 2022-10-21 | 48 | ![]() | - | ![]() | - | |||||
14 - 2022-10-23 | 56 | ![]() | - | ![]() | - | |||||
16 - 2022-10-25 | 62 | ![]() | - | ![]() | - | |||||
18 - 2022-10-27 | 69 | ![]() | - | ![]() | - | |||||
19 - 2022-10-28 | 76 | ![]() | - | ![]() | - | |||||
21 - 2022-10-30 | 83 | ![]() | - | ![]() | - | |||||
23 - 2022-11-01 | 90 | ![]() | - | ![]() | - | |||||
25 - 2022-11-03 | 97 | ![]() | - | ![]() | - | |||||
28 - 2022-11-06 | 112 | ![]() | - | ![]() | - | |||||
30 - 2022-11-08 | 119 | ![]() | - | ![]() | - | |||||
32 - 2022-11-10 | 126 | ![]() | - | ![]() | - | |||||
34 - 2022-11-12 | 133 | ![]() | - | ![]() | - | |||||
36 - 2022-11-14 | 144 | ![]() | - | ![]() | - | |||||
38 - 2022-11-16 | 151 | ![]() | - | ![]() | - | |||||
40 - 2022-11-18 | 160 | ![]() | - | ![]() | - | |||||
42 - 2022-11-20 | 168 | ![]() | - | ![]() | - | |||||
44 - 2022-11-22 | 176 | ![]() | - | ![]() | - | |||||
46 - 2022-11-24 | 182 | ![]() | - | ![]() | - | |||||
48 - 2022-11-26 | 189 | ![]() | - | ![]() | - | |||||
49 - 2022-11-27 | 196 | ![]() | - | ![]() | - | |||||
51 - 2022-11-29 | 203 | ![]() | - | ![]() | - | |||||
53 - 2022-12-01 | 210 | ![]() | - | ![]() | - | |||||
55 - 2022-12-03 | 217 | ![]() | - | ![]() | - | |||||
58 - 2022-12-06 | 232 | ![]() | - | ![]() | - | |||||
60 - 2022-12-08 | 239 | ![]() | - | ![]() | - | |||||
62 - 2022-12-10 | 246 | ![]() | - | ![]() | - | |||||
64 - 2022-12-12 | 253 | ![]() | - | ![]() | - | |||||
66 - 2022-12-14 | 264 | ![]() | - | ![]() | - | |||||
68 - 2022-12-16 | 271 | ![]() | - | ![]() | - | |||||
70 - 2022-12-18 | 280 | ![]() | - | ![]() | - | |||||
72 - 2022-12-20 | 288 | ![]() | - | ![]() | - | |||||
74 - 2022-12-22 | 296 | ![]() | - | ![]() | - | |||||
76 - 2022-12-24 | 302 | ![]() | - | ![]() | - | |||||
78 - 2022-12-26 | 309 | ![]() | - | ![]() | - | |||||
79 - 2022-12-27 | 316 | ![]() | - | ![]() | - | |||||
81 - 2022-12-29 | 323 | ![]() | - | ![]() | - | |||||
83 - 2022-12-31 | 330 | ![]() | - | ![]() | - | |||||
85 - 2023-01-02 | 337 | ![]() | - | ![]() | - | |||||
88 - 2023-01-05 | 352 | ![]() | - | ![]() | - | |||||
90 - 2023-01-07 | 359 | ![]() | - | ![]() | - | |||||
92 - 2023-01-09 | 366 | ![]() | - | ![]() | - | |||||
94 - 2023-01-11 | 373 | ![]() | - | ![]() | - | |||||
96 - 2023-01-13 | 384 | ![]() | - | ![]() | - | |||||
98 - 2023-01-15 | 391 | ![]() | - | ![]() | - | |||||
100 - 2023-01-17 | 400 | ![]() | - | ![]() | - | |||||
102 - 2023-01-19 | 408 | ![]() | - | ![]() | - | |||||
104 - 2023-01-21 | 416 | ![]() | - | ![]() | - | |||||
106 - 2023-01-23 | 422 | ![]() | - | ![]() | - | |||||
108 - 2023-01-25 | 429 | ![]() | - | ![]() | - | |||||
109 - 2023-01-26 | 436 | ![]() | - | ![]() | - | |||||
111 - 2023-01-28 | 443 | ![]() | - | ![]() | - | |||||
113 - 2023-01-30 | 450 | ![]() | - | ![]() | - | |||||
115 - 2023-02-01 | 457 | ![]() | - | ![]() | - | |||||
118 - 2023-02-04 | 472 | ![]() | - | ![]() | - | |||||
120 - 2023-02-06 | 479 | ![]() | - | ![]() | - | |||||
122 - 2023-02-08 | 486 | ![]() | - | ![]() | - | |||||
124 - 2023-02-10 | 493 | ![]() | - | ![]() | - | |||||
126 - 2023-02-12 | 504 | ![]() | - | ![]() | - | |||||
128 - 2023-02-14 | 511 | ![]() | - | ![]() | - | |||||
130 - 2023-02-16 | 520 | ![]() | - | ![]() | - | |||||
132 - 2023-02-18 | 528 | ![]() | - | ![]() | - | |||||
134 - 2023-02-20 | 536 | ![]() | - | ![]() | - | |||||
136 - 2023-02-22 | 542 | ![]() | - | ![]() | - | |||||
138 - 2023-02-24 | 549 | ![]() | - | ![]() | - | |||||
140 - 2023-02-26 | 560 | ![]() | - | ![]() | - | |||||
142 - 2023-02-28 | 567 | ![]() | - | ![]() | - | |||||
144 - 2023-03-02 | 576 | ![]() | - | ![]() | - | |||||
146 - 2023-03-04 | 584 | ![]() | - | ![]() | - | |||||
148 - 2023-03-06 | 592 | ![]() | - | ![]() | - | |||||
150 - 2023-03-08 | 598 | ![]() | - | ![]() | - | |||||
152 - 2023-03-10 | 605 | ![]() | - | ![]() | - | |||||
154 - 2023-03-12 | 616 | ![]() | - | ![]() | - | |||||
156 - 2023-03-14 | 623 | ![]() | - | ![]() | - | |||||
158 - 2023-03-16 | 632 | ![]() | - | ![]() | - | |||||
160 - 2023-03-18 | 640 | ![]() | - | ![]() | - | |||||
162 - 2023-03-20 | 648 | ![]() | - | ![]() | - | |||||
164 - 2023-03-22 | 655 | ![]() | - | ![]() | - |
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$ | 1,366,912$ | 1,366,912$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
8,335$ | 0$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 164 | 8,335$ | 1,366,940$ |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Christian Dvorak | 325 | 170 | 268 | 438 | 89 | 62 | 350 | 651 | 1061 | 16.02% | 289 | 7203 | 22.16 | 50 | 85 | 135 | 218 | 8 | 21 | 29 | 53 | 20 | 10 | 63.17 | 8 | 1.22 | 6 | 19 |
2 | David Kampf | 314 | 138 | 204 | 342 | 99 | 58 | 229 | 565 | 958 | 14.41% | 239 | 5660 | 18.03 | 21 | 41 | 62 | 96 | 3 | 1 | 4 | 24 | 9 | 7 | 64.18 | 9 | 1.21 | 5 | 8 |
3 | Brendan Perlini | 325 | 156 | 155 | 311 | 153 | 139 | 243 | 279 | 872 | 17.89% | 147 | 4510 | 13.88 | 30 | 42 | 72 | 147 | 15 | 8 | 23 | 48 | 25 | 9 | 42.90 | 7 | 1.38 | 6 | 11 |
4 | Brett Howden | 251 | 112 | 178 | 290 | 65 | 106 | 265 | 517 | 743 | 15.07% | 252 | 5341 | 21.28 | 34 | 58 | 92 | 144 | 5 | 9 | 14 | 43 | 19 | 9 | 63.66 | 5 | 1.09 | 0 | 13 |
5 | Emerson Etem | 250 | 85 | 178 | 263 | 137 | 54 | 255 | 182 | 634 | 13.41% | 71 | 3615 | 14.46 | 18 | 31 | 49 | 104 | 0 | 0 | 0 | 0 | 5 | 1 | 46.98 | 4 | 1.45 | 0 | 1 |
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Tristan Jarry | 186 | 112 | 62 | 12 | 0.907 | 2.89 | 11155 | 10 | 8 | 538 | 5808 | 3023 | 7 | 1 | 0.900 | 30 |
2 | Logan Thompson | 84 | 65 | 17 | 1 | 0.918 | 2.69 | 5062 | 2 | 1 | 227 | 2760 | 1687 | 21 | 0 | 1.000 | 21 |
3 | Matt Hackett | 84 | 48 | 31 | 5 | 0.886 | 3.20 | 5044 | 8 | 1 | 269 | 2356 | 1222 | 2 | 3 | 0.829 | 35 |
4 | Max Lagace | 57 | 24 | 29 | 3 | 0.875 | 3.99 | 3365 | 4 | 0 | 224 | 1785 | 1031 | 6 | 0 | 0.00% | 7 |
5 | Matt Murray | 66 | 12 | 45 | 3 | 0.823 | 6.14 | 3186 | 2 | 1 | 326 | 1846 | 1090 | 2 | 0 | 0.750 | 16 |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2016 | 84 | 36 | 31 | 0 | 4 | 4 | 8 | 1 | 458 | 288 | 170 | 42 | 22 | 14 | 0 | 2 | 0 | 3 | 1 | 296 | 136 | 160 | 42 | 14 | 17 | 0 | 2 | 4 | 5 | 0 | 162 | 152 | 10 | 101 | 458 | 793 | 1251 | 3 | 1 | 164 | 127 | 155 | 15 | 2808 | 1005 | 917 | 855 | 64 | 2374 | 888 | 1295 | 1536 | 293 | 90 | 30.72% | 384 | 84 | 78.13% | 15 | 1091 | 1697 | 64.29% | 1039 | 1645 | 63.16% | 824 | 1323 | 62.28% | 2099 | 1427 | 1770 | 652 | 1225 | 617 |
2017 | 84 | 39 | 33 | 0 | 1 | 7 | 3 | 1 | 394 | 436 | -42 | 42 | 23 | 13 | 0 | 1 | 3 | 1 | 1 | 197 | 178 | 19 | 42 | 16 | 20 | 0 | 0 | 4 | 2 | 0 | 197 | 258 | -61 | 94 | 394 | 669 | 1063 | 1 | 4 | 134 | 140 | 116 | 4 | 2941 | 988 | 981 | 947 | 36 | 2383 | 865 | 724 | 1571 | 316 | 86 | 27.22% | 358 | 99 | 72.35% | 11 | 1003 | 1841 | 54.48% | 821 | 1602 | 51.25% | 740 | 1413 | 52.37% | 2064 | 1416 | 1797 | 651 | 1219 | 594 |
2018 | 82 | 50 | 23 | 0 | 3 | 3 | 3 | 0 | 484 | 240 | 244 | 41 | 32 | 4 | 0 | 1 | 3 | 1 | 0 | 265 | 101 | 164 | 41 | 18 | 19 | 0 | 2 | 0 | 2 | 0 | 219 | 139 | 80 | 115 | 484 | 854 | 1338 | 0 | 3 | 182 | 161 | 135 | 8 | 3097 | 1118 | 1036 | 926 | 27 | 2746 | 956 | 981 | 1448 | 299 | 75 | 25.08% | 417 | 75 | 82.01% | 29 | 1042 | 1847 | 56.42% | 1014 | 1892 | 53.59% | 794 | 1294 | 61.36% | 1931 | 1257 | 1766 | 654 | 1247 | 635 |
2019 | 84 | 39 | 27 | 0 | 5 | 5 | 5 | 3 | 245 | 255 | -10 | 42 | 24 | 12 | 0 | 1 | 3 | 2 | 0 | 124 | 102 | 22 | 42 | 15 | 15 | 0 | 4 | 2 | 3 | 3 | 121 | 153 | -32 | 106 | 245 | 417 | 662 | 0 | 3 | 85 | 79 | 71 | 15 | 2643 | 949 | 829 | 825 | 72 | 2701 | 1032 | 809 | 1406 | 324 | 69 | 21.30% | 400 | 71 | 82.25% | 10 | 1127 | 1812 | 62.20% | 1196 | 1982 | 60.34% | 645 | 1071 | 60.22% | 1916 | 1202 | 1885 | 701 | 1297 | 664 |
2020 | 84 | 35 | 36 | 0 | 5 | 4 | 2 | 2 | 323 | 335 | -12 | 42 | 23 | 16 | 0 | 0 | 0 | 1 | 2 | 168 | 170 | -2 | 42 | 12 | 20 | 0 | 5 | 4 | 1 | 0 | 155 | 165 | -10 | 90 | 323 | 502 | 825 | 0 | 0 | 116 | 97 | 103 | 10 | 2515 | 829 | 815 | 847 | 37 | 2641 | 960 | 702 | 1379 | 301 | 78 | 25.91% | 350 | 79 | 77.43% | 17 | 822 | 1401 | 58.67% | 932 | 1611 | 57.85% | 743 | 1227 | 60.55% | 1875 | 1168 | 1874 | 687 | 1326 | 674 |
2021 | 84 | 56 | 18 | 0 | 2 | 1 | 7 | 0 | 477 | 230 | 247 | 42 | 32 | 3 | 0 | 0 | 1 | 6 | 0 | 252 | 98 | 154 | 42 | 24 | 15 | 0 | 2 | 0 | 1 | 0 | 225 | 132 | 93 | 131 | 477 | 706 | 1183 | 0 | 1 | 162 | 149 | 157 | 10 | 2890 | 1086 | 920 | 869 | 32 | 2770 | 1167 | 430 | 957 | 305 | 111 | 36.39% | 215 | 59 | 72.56% | 6 | 954 | 1537 | 62.07% | 915 | 1557 | 58.77% | 770 | 1288 | 59.78% | 2058 | 1445 | 1811 | 631 | 1210 | 609 |
Total Saison régulière | 501 | 210 | 222 | 0 | 14 | 18 | 21 | 16 | 2244 | 1698 | 546 | 250 | 131 | 89 | 0 | 7 | 10 | 8 | 5 | 1266 | 758 | 508 | 251 | 79 | 133 | 0 | 7 | 8 | 13 | 11 | 978 | 940 | 38 | 524 | 2244 | 3802 | 6046 | 5 | 12 | 769 | 776 | 664 | 51 | 16067 | 5453 | 5406 | 5095 | 242 | 16778 | 6246 | 4742 | 9148 | 1715 | 470 | 27.41% | 1983 | 462 | 76.70% | 93 | 4470 | 9769 | 45.76% | 4617 | 10575 | 43.66% | 3399 | 7414 | 45.85% | 11037 | 7091 | 11758 | 4018 | 7508 | 3716 |
Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2016 | 8 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 29 | 33 | -4 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 11 | 2 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 16 | 22 | -6 | 8 | 29 | 51 | 80 | 0 | 0 | 6 | 12 | 11 | 0 | 255 | 68 | 90 | 97 | 0 | 266 | 75 | 180 | 138 | 19 | 7 | 36.84% | 46 | 9 | 80.43% | 3 | 92 | 158 | 58.23% | 119 | 194 | 61.34% | 75 | 124 | 60.48% | 189 | 128 | 183 | 57 | 106 | 51 |
2019 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 20 | -8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 12 | 22 | 34 | 0 | 0 | 5 | 3 | 4 | 0 | 152 | 56 | 37 | 59 | 0 | 172 | 74 | 54 | 90 | 19 | 5 | 26.32% | 27 | 10 | 62.96% | 0 | 64 | 107 | 59.81% | 70 | 114 | 61.40% | 36 | 63 | 57.14% | 110 | 68 | 114 | 38 | 75 | 38 |
2020 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 24 | 27 | -3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 15 | 19 | -4 | 6 | 24 | 34 | 58 | 0 | 0 | 10 | 8 | 5 | 1 | 190 | 68 | 52 | 68 | 2 | 239 | 108 | 52 | 105 | 21 | 4 | 19.05% | 26 | 6 | 76.92% | 1 | 56 | 109 | 51.38% | 74 | 129 | 57.36% | 59 | 98 | 60.20% | 153 | 95 | 163 | 55 | 106 | 54 |
2021 | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 65 | 27 | 38 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 38 | 10 | 28 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 27 | 17 | 10 | 12 | 65 | 95 | 160 | 0 | 0 | 25 | 24 | 16 | 0 | 357 | 136 | 114 | 97 | 10 | 376 | 177 | 24 | 103 | 42 | 14 | 33.33% | 12 | 7 | 41.67% | 0 | 103 | 197 | 52.28% | 123 | 211 | 58.29% | 82 | 160 | 51.25% | 244 | 175 | 232 | 76 | 146 | 69 |
Total Séries éliminatoires | 16 | 8 | 8 | 0 | 0 | 0 | 0 | 0 | 53 | 48 | 5 | 8 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 29 | 22 | 7 | 8 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 24 | 26 | -2 | 16 | 53 | 84 | 137 | 0 | 0 | 18 | 21 | 11 | 3 | 536 | 174 | 172 | 175 | 15 | 609 | 249 | 116 | 263 | 60 | 20 | 33.33% | 54 | 19 | 64.81% | 0 | 162 | 304 | 53.29% | 167 | 361 | 46.26% | 102 | 210 | 48.57% | 361 | 243 | 405 | 131 | 235 | 109 |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Brett Howden | 22 | 14 | 17 | 31 | 9 | 8 | 18 | 50 | 57 | 24.56% | 35 | 447 | 20.32 | 5 | 8 | 13 | 11 | 0 | 0 | 0 | 2 | 2 | 1 | 60.40 | 0 | 1.39 | 0 | 0 |
2 | David Kampf | 22 | 11 | 15 | 26 | 9 | 4 | 12 | 46 | 59 | 18.64% | 19 | 384 | 17.46 | 2 | 5 | 7 | 8 | 1 | 0 | 1 | 1 | 4 | 0 | 63.06 | 0 | 1.35 | 0 | 0 |
3 | Kirby Dach | 10 | 7 | 18 | 25 | 9 | 0 | 13 | 36 | 49 | 14.29% | 24 | 223 | 22.37 | 4 | 3 | 7 | 16 | 0 | 0 | 0 | 2 | 0 | 0 | 48.60 | 0 | 2.23 | 0 | 0 |
4 | Nick Paul | 10 | 17 | 7 | 24 | 9 | 0 | 20 | 40 | 58 | 29.31% | 32 | 223 | 22.37 | 3 | 4 | 7 | 10 | 0 | 0 | 0 | 1 | 1 | 0 | 58.33 | 3 | 2.15 | 0 | 0 |
5 | Max Jones | 22 | 10 | 13 | 23 | 7 | 10 | 28 | 19 | 61 | 16.39% | 21 | 358 | 16.30 | 3 | 5 | 8 | 11 | 0 | 0 | 0 | 0 | 1 | 1 | 22.73 | 0 | 1.28 | 0 | 0 |
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Logan Thompson | 10 | 6 | 3 | 1 | 0.928 | 2.61 | 622 | 0 | 0 | 27 | 376 | 226 | 5 | 0 | 0.00% | 0 |
2 | Matt Hackett | 8 | 4 | 4 | 0 | 0.910 | 2.98 | 463 | 0 | 0 | 23 | 256 | 131 | 0 | 0 | 0.00% | 0 |
3 | Max Lagace | 7 | 3 | 2 | 2 | 0.887 | 3.83 | 423 | 0 | 0 | 27 | 239 | 149 | 0 | 0 | 0.00% | 0 |
4 | Tristan Jarry | 5 | 1 | 4 | 0 | 0.884 | 4.00 | 300 | 0 | 0 | 20 | 172 | 101 | 0 | 0 | 0.00% | 0 |