 | Diabotins |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Louis-Philippe Parent | Morale : 50 | Moyenne d’équipe : 62 Prochains matchs #3 vs Benchwarmers |
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 | Owen Tippett | 0 | X | X | 100.00 | 81 | 45 | 93 | 74 | 75 | 65 | 86 | 71 | 39 | 49 | 48 | 64 | 25 | 57 | 58 | 0 | 50 | 65 | 0 | 23 | 1 | 1,596,667$ | |||
| 2 | Nolan Foote (R) | 0 | X | 100.00 | 75 | 74 | 76 | 76 | 74 | 69 | 72 | 61 | 50 | 40 | 40 | 64 | 58 | 45 | 45 | 0 | 50 | 63 | 0 | 21 | 1 | 863,333$ | ||||
| 3 | Victor Mete | 0 | X | 100.00 | 63 | 41 | 96 | 78 | 64 | 65 | 60 | 64 | 25 | 42 | 38 | 82 | 25 | 63 | 63 | 0 | 50 | 61 | 0 | 24 | 1 | 1,200,000$ | ||||
| 4 | Ben Harpur | 0 | X | 100.00 | 84 | 99 | 62 | 65 | 91 | 63 | 58 | 55 | 25 | 40 | 38 | 78 | 25 | 62 | 63 | 0 | 50 | 59 | 0 | 27 | 1 | 797,500$ | ||||
| 5 | Christian Jaros | 0 | X | 100.00 | 84 | 46 | 93 | 63 | 82 | 57 | 48 | 58 | 25 | 39 | 38 | 71 | 25 | 56 | 56 | 0 | 50 | 57 | 0 | 26 | 1 | 881,834$ | ||||
| Rayé | ||||||||||||||||||||||||||||||
| 1 | Riley Barber | 0 | X | 100.00 | 77 | 73 | 85 | 66 | 73 | 68 | 68 | 69 | 50 | 43 | 43 | 67 | 68 | 45 | 45 | 0 | 50 | 65 | 0 | 28 | 2 | 800,000$ | ||||
| 2 | Boris Katchouk | 0 | X | 100.00 | 88 | 57 | 81 | 72 | 77 | 56 | 71 | 61 | 36 | 47 | 46 | 74 | 25 | 50 | 50 | 0 | 50 | 63 | 0 | 24 | 2 | 758,333$ | ||||
| 3 | Cameron Hillis (R) | 0 | X | 100.00 | 68 | 62 | 83 | 66 | 62 | 53 | 53 | 55 | 69 | 37 | 37 | 59 | 55 | 44 | 44 | 0 | 50 | 56 | 0 | 22 | 2 | 910,000$ | ||||
| 4 | Jordan Harris (R) | 0 | X | 100.00 | 75 | 43 | 77 | 67 | 64 | 69 | 41 | 60 | 25 | 39 | 40 | 70 | 25 | 44 | 44 | 0 | 50 | 57 | 0 | 22 | 2 | 1,137,500$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 77 | 60 | 83 | 70 | 74 | 63 | 62 | 62 | 38 | 42 | 41 | 70 | 37 | 52 | 52 | 0 | 50 | 61 | |||||||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Chris Driedger | 100.00 | 69 | 60 | 59 | 85 | 78 | 60 | 77 | 69 | 67 | 68 | 75 | 51 | 52 | 0 | 47 | 68 | 0 | 28 | 2 | 3,500,000$ | |
| 2 | Eric Comrie | 100.00 | 71 | 47 | 47 | 65 | 78 | 64 | 74 | 71 | 78 | 71 | 75 | 46 | 46 | 0 | 50 | 67 | 0 | 27 | 1 | 700,000$ | |
| 3 | Alexandar Georgiev | 100.00 | 65 | 60 | 60 | 67 | 72 | 58 | 83 | 65 | 65 | 65 | 68 | 59 | 59 | 0 | 47 | 67 | 0 | 26 | 1 | 2,425,000$ | |
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 68 | 56 | 55 | 72 | 76 | 61 | 78 | 68 | 70 | 68 | 73 | 52 | 52 | 0 | 48 | 67 | ||||||
| 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 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alexandar Georgiev | Diabotins (HEL) | G | 26 | 2/10/1996 | No | 178 Lbs | 185 CM | No | No | No | 1 | Pro & Farm | 2,425,000$ | 2,425,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Ben Harpur | Diabotins (HEL) | D | 27 | 1/11/1995 | No | 231 Lbs | 198 CM | No | No | No | 1 | Pro & Farm | 797,500$ | 797,500$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Boris Katchouk | Diabotins (HEL) | LW | 24 | 6/17/1998 | No | 206 Lbs | 188 CM | No | No | No | 2 | Pro & Farm | 758,333$ | 758,333$ | 0$ | 0$ | No | 758,333$ | Lien | ||||||||
| Cameron Hillis | Diabotins (HEL) | C | 22 | 6/24/2000 | Yes | 171 Lbs | 178 CM | No | No | No | 2 | Pro & Farm | 910,000$ | 910,000$ | 0$ | 0$ | No | 910,000$ | Lien | ||||||||
| Chris Driedger | Diabotins (HEL) | G | 28 | 5/18/1994 | No | 208 Lbs | 193 CM | No | No | No | 2 | Pro & Farm | 3,500,000$ | 3,500,000$ | 0$ | 0$ | No | 3,500,000$ | Lien / Lien NHL | ||||||||
| Christian Jaros | Diabotins (HEL) | D | 26 | 4/1/1996 | No | 222 Lbs | 191 CM | No | No | No | 1 | Pro & Farm | 881,834$ | 881,834$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Eric Comrie | Diabotins (HEL) | G | 27 | 7/5/1995 | No | 175 Lbs | 185 CM | No | No | No | 1 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Jordan Harris | Diabotins (HEL) | D | 22 | 7/7/2000 | Yes | 179 Lbs | 180 CM | No | No | No | 2 | Pro & Farm | 1,137,500$ | 1,137,500$ | 0$ | 0$ | No | 1,137,500$ | Lien | ||||||||
| Nolan Foote | Diabotins (HEL) | LW | 21 | 11/29/2000 | Yes | 196 Lbs | 191 CM | No | No | No | 1 | Pro & Farm | 863,333$ | 863,333$ | 0$ | 0$ | No | Lien | |||||||||
| Owen Tippett | Diabotins (HEL) | LW/RW | 23 | 2/16/1999 | No | 207 Lbs | 185 CM | No | No | No | 1 | Pro & Farm | 1,596,667$ | 1,596,667$ | 0$ | 0$ | No | Lien | |||||||||
| Riley Barber | Diabotins (HEL) | RW | 28 | 2/7/1994 | No | 203 Lbs | 183 CM | No | No | No | 2 | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | 800,000$ | Lien | ||||||||
| Victor Mete | Diabotins (HEL) | D | 24 | 6/7/1998 | No | 184 Lbs | 175 CM | No | No | No | 1 | Pro & Farm | 1,200,000$ | 1,200,000$ | 0$ | 0$ | No | Lien / Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 12 | 24.83 | 197 Lbs | 185 CM | 1.42 | 1,297,514$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | Nolan Foote | 30 | 1 | 2 | 2 | ||
| 3 | Nolan Foote | 20 | 1 | 2 | 2 | ||
| 4 | 10 | 1 | 2 | 2 | |||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Ben Harpur | 40 | 1 | 2 | 2 | ||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | Ben Harpur | 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 | Nolan Foote | 40 | 1 | 2 | 2 | ||
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Ben Harpur | 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 | Nolan Foote | 40 | 1 | 2 | 2 | |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Ben Harpur | 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 | Ben Harpur | 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 | Nolan Foote | 40 | 1 | 2 | 2 | |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Ben Harpur | 60 | 1 | 2 | 2 | |
| 2 | 40 | 1 | 2 | 2 | ||
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Ben Harpur | ||||
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Ben Harpur | ||||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Nolan Foote, , | Nolan Foote, | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Ben Harpur, , | Ben Harpur | , |
| Tirs de pénalité |
|---|
| , , Nolan Foote, , |
| Gardien |
|---|
| #1 : Eric Comrie, #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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 - 2022-10-10 | 3 |  Benchwarmers | - | Diabotins | - | |||||
| 3 - 2022-10-12 | 10 | Diabotins | - |  Barracuda | - | |||||
| 5 - 2022-10-14 | 17 |  Vagabond | - | Diabotins | - | |||||
| 7 - 2022-10-16 | 28 | Diabotins | - |  Werewolves | - | |||||
| 9 - 2022-10-18 | 35 |  Leftovers | - | Diabotins | - | |||||
| 11 - 2022-10-20 | 44 | Diabotins | - |  Caribou | - | |||||
| 13 - 2022-10-22 | 52 |  Hooligans | - | Diabotins | - | |||||
| 16 - 2022-10-25 | 62 | Diabotins | - |  Requins | - | |||||
| 18 - 2022-10-27 | 70 |  Jardiniers | - | Diabotins | - | |||||
| 20 - 2022-10-29 | 78 | Diabotins | - |  Pirates | - | |||||
| 22 - 2022-10-31 | 86 | Diabotins | - |  Knights | - | |||||
| 24 - 2022-11-02 | 94 | Diabotins | - |  Hybrides | - | |||||
| 26 - 2022-11-04 | 102 |  Pingouins | - | Diabotins | - | |||||
| 28 - 2022-11-06 | 110 | Diabotins | - |  Chevalier | - | |||||
| 30 - 2022-11-08 | 118 |  Casse-Tete | - | Diabotins | - | |||||
| 31 - 2022-11-09 | 123 | Diabotins | - | Benchwarmers | - | |||||
| 33 - 2022-11-11 | 130 | Barracuda | - | Diabotins | - | |||||
| 35 - 2022-11-13 | 137 | Diabotins | - | Vagabond | - | |||||
| 37 - 2022-11-15 | 148 | Werewolves | - | Diabotins | - | |||||
| 39 - 2022-11-17 | 155 | Diabotins | - | Leftovers | - | |||||
| 41 - 2022-11-19 | 164 | Caribou | - | Diabotins | - | |||||
| 43 - 2022-11-21 | 172 | Diabotins | - | Hooligans | - | |||||
| 46 - 2022-11-24 | 182 | Requins | - | Diabotins | - | |||||
| 48 - 2022-11-26 | 190 | Diabotins | - | Jardiniers | - | |||||
| 50 - 2022-11-28 | 198 | Pirates | - | Diabotins | - | |||||
| 52 - 2022-11-30 | 206 | Knights | - | Diabotins | - | |||||
| 54 - 2022-12-02 | 214 | Hybrides | - | Diabotins | - | |||||
| 56 - 2022-12-04 | 222 | Diabotins | - | Pingouins | - | |||||
| 58 - 2022-12-06 | 230 | Chevalier | - | Diabotins | - | |||||
| 60 - 2022-12-08 | 238 | Diabotins | - | Casse-Tete | - | |||||
| 61 - 2022-12-09 | 243 | Benchwarmers | - | Diabotins | - | |||||
| 63 - 2022-12-11 | 250 | Diabotins | - | Barracuda | - | |||||
| 65 - 2022-12-13 | 257 | Vagabond | - | Diabotins | - | |||||
| 67 - 2022-12-15 | 268 | Diabotins | - | Werewolves | - | |||||
| 69 - 2022-12-17 | 275 | Leftovers | - | Diabotins | - | |||||
| 71 - 2022-12-19 | 284 | Diabotins | - | Caribou | - | |||||
| 73 - 2022-12-21 | 292 | Hooligans | - | Diabotins | - | |||||
| 76 - 2022-12-24 | 302 | Diabotins | - | Requins | - | |||||
| 78 - 2022-12-26 | 310 | Jardiniers | - | Diabotins | - | |||||
| 80 - 2022-12-28 | 318 | Diabotins | - | Pirates | - | |||||
| 82 - 2022-12-30 | 326 | Diabotins | - | Knights | - | |||||
| 84 - 2023-01-01 | 334 | Diabotins | - | Hybrides | - | |||||
| 86 - 2023-01-03 | 342 | Pingouins | - | Diabotins | - | |||||
| 88 - 2023-01-05 | 350 | Diabotins | - | Chevalier | - | |||||
| 90 - 2023-01-07 | 358 | Casse-Tete | - | Diabotins | - | |||||
| 91 - 2023-01-08 | 363 | Diabotins | - | Benchwarmers | - | |||||
| 93 - 2023-01-10 | 370 | Barracuda | - | Diabotins | - | |||||
| 95 - 2023-01-12 | 377 | Diabotins | - | Vagabond | - | |||||
| 97 - 2023-01-14 | 388 | Werewolves | - | Diabotins | - | |||||
| 99 - 2023-01-16 | 395 | Diabotins | - | Leftovers | - | |||||
| 101 - 2023-01-18 | 404 | Caribou | - | Diabotins | - | |||||
| 103 - 2023-01-20 | 412 | Diabotins | - | Hooligans | - | |||||
| 106 - 2023-01-23 | 422 | Requins | - | Diabotins | - | |||||
| 108 - 2023-01-25 | 430 | Diabotins | - | Jardiniers | - | |||||
| 110 - 2023-01-27 | 438 | Pirates | - | Diabotins | - | |||||
| 112 - 2023-01-29 | 446 | Knights | - | Diabotins | - | |||||
| 114 - 2023-01-31 | 454 | Hybrides | - | Diabotins | - | |||||
| 116 - 2023-02-02 | 462 | Diabotins | - | Pingouins | - | |||||
| 118 - 2023-02-04 | 470 | Chevalier | - | Diabotins | - | |||||
| 120 - 2023-02-06 | 478 | Diabotins | - | Casse-Tete | - | |||||
| 121 - 2023-02-07 | 483 | Benchwarmers | - | Diabotins | - | |||||
| 123 - 2023-02-09 | 490 | Diabotins | - | Barracuda | - | |||||
| 125 - 2023-02-11 | 497 | Vagabond | - | Diabotins | - | |||||
| 127 - 2023-02-13 | 508 | Diabotins | - | Werewolves | - | |||||
| 129 - 2023-02-15 | 515 | Leftovers | - | Diabotins | - | |||||
| 131 - 2023-02-17 | 524 | Diabotins | - | Caribou | - | |||||
| 133 - 2023-02-19 | 532 | Hooligans | - | Diabotins | - | |||||
| 135 - 2023-02-21 | 539 | Diabotins | - | Benchwarmers | - | |||||
| 137 - 2023-02-23 | 546 | Barracuda | - | Diabotins | - | |||||
| 139 - 2023-02-25 | 553 | Diabotins | - | Vagabond | - | |||||
| 141 - 2023-02-27 | 564 | Werewolves | - | Diabotins | - | |||||
| 143 - 2023-03-01 | 571 | Diabotins | - | Leftovers | - | |||||
| 145 - 2023-03-03 | 580 | Caribou | - | Diabotins | - | |||||
| 147 - 2023-03-05 | 588 | Diabotins | - | Hooligans | - | |||||
| 149 - 2023-03-07 | 595 | Benchwarmers | - | Diabotins | - | |||||
| 151 - 2023-03-09 | 602 | Diabotins | - | Barracuda | - | |||||
| 153 - 2023-03-11 | 609 | Vagabond | - | Diabotins | - | |||||
| 155 - 2023-03-13 | 620 | Diabotins | - | Werewolves | - | |||||
| 157 - 2023-03-15 | 627 | Leftovers | - | Diabotins | - | |||||
| 159 - 2023-03-17 | 636 | Diabotins | - | Caribou | - | |||||
| 161 - 2023-03-19 | 644 | Hooligans | - | Diabotins | - | |||||
| 163 - 2023-03-21 | 650 | Diabotins | - | Leftovers | - |
| 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$ | 1,557,016$ | 1,376,433$ | 0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 9,494$ | 0$ | 0 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 164 | 9,494$ | 1,557,016$ |
| # | 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 | Oscar Lindberg | 332 | 176 | 283 | 459 | 162 | 188 | 577 | 303 | 1053 | 16.71% | 102 | 5472 | 16.48 | 42 | 94 | 136 | 240 | 8 | 6 | 14 | 25 | 16 | 12 | 62.69 | 12 | 1.68 | 6 | 14 |
| 2 | Filip Chytil | 236 | 158 | 163 | 321 | -26 | 14 | 90 | 161 | 806 | 19.60% | 65 | 4080 | 17.29 | 32 | 59 | 91 | 134 | 3 | 4 | 7 | 10 | 10 | 3 | 54.48 | 15 | 1.57 | 1 | 7 |
| 3 | Jesper Fast | 236 | 107 | 194 | 301 | 148 | 58 | 333 | 366 | 690 | 15.51% | 215 | 4377 | 18.55 | 16 | 29 | 45 | 81 | 5 | 8 | 13 | 39 | 11 | 2 | 42.03 | 10 | 1.38 | 2 | 9 |
| 4 | Jujhar Khaira | 249 | 129 | 162 | 291 | -31 | 235 | 518 | 369 | 775 | 16.65% | 181 | 4425 | 17.77 | 52 | 67 | 119 | 164 | 3 | 2 | 5 | 20 | 6 | 5 | 54.22 | 5 | 1.32 | 1 | 2 |
| 5 | Luke Kunin | 160 | 120 | 153 | 273 | 14 | 80 | 194 | 153 | 551 | 21.78% | 84 | 2644 | 16.53 | 24 | 31 | 55 | 60 | 0 | 0 | 0 | 0 | 4 | 5 | 55.72 | 11 | 2.06 | 0 | 3 |
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Michael Hutchinson | 172 | 68 | 93 | 3 | 0.870 | 4.35 | 9814 | 8 | 0 | 711 | 5478 | 3104 | 12 | 2 | 0.742 | 31 |
| 2 | Mackenzie Skapski | 83 | 54 | 22 | 7 | 0.915 | 2.24 | 4986 | 6 | 4 | 186 | 2177 | 1139 | 2 | 0 | 0.727 | 22 |
| 3 | Niklas Treutle | 69 | 31 | 31 | 7 | 0.896 | 2.79 | 4170 | 0 | 2 | 194 | 1863 | 954 | 0 | 2 | 0.742 | 31 |
| 4 | Marek Mazanec | 82 | 29 | 47 | 5 | 0.875 | 4.42 | 4806 | 6 | 2 | 354 | 2835 | 1539 | 5 | 2 | 0.667 | 12 |
| 5 | Christopher Gibson | 85 | 15 | 58 | 2 | 0.813 | 5.78 | 4278 | 6 | 0 | 412 | 2203 | 1242 | 2 | 0 | 0.500 | 4 |
| 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 | 83 | 45 | 22 | 0 | 7 | 3 | 2 | 4 | 439 | 191 | 248 | 41 | 28 | 7 | 0 | 2 | 1 | 1 | 2 | 251 | 85 | 166 | 42 | 17 | 15 | 0 | 5 | 2 | 1 | 2 | 188 | 106 | 82 | 115 | 439 | 768 | 1207 | 0 | 4 | 138 | 133 | 159 | 11 | 2577 | 822 | 880 | 845 | 51 | 2191 | 810 | 929 | 1828 | 273 | 62 | 22.71% | 318 | 55 | 82.70% | 14 | 1019 | 1639 | 62.17% | 965 | 1567 | 61.58% | 774 | 1206 | 64.18% | 2065 | 1363 | 1699 | 658 | 1263 | 654 |
| 2017 | 84 | 24 | 39 | 0 | 7 | 3 | 6 | 5 | 304 | 245 | 59 | 42 | 16 | 14 | 0 | 5 | 3 | 1 | 3 | 169 | 104 | 65 | 42 | 8 | 25 | 0 | 2 | 0 | 5 | 2 | 135 | 141 | -6 | 82 | 304 | 530 | 834 | 2 | 3 | 112 | 101 | 78 | 18 | 2562 | 826 | 851 | 831 | 91 | 2312 | 757 | 714 | 1881 | 281 | 44 | 15.66% | 348 | 67 | 80.75% | 14 | 1029 | 1729 | 59.51% | 997 | 1598 | 62.39% | 701 | 1125 | 62.31% | 2049 | 1337 | 1776 | 671 | 1298 | 660 |
| 2018 | 82 | 24 | 48 | 0 | 3 | 4 | 2 | 1 | 473 | 374 | 99 | 41 | 15 | 20 | 0 | 2 | 2 | 2 | 0 | 261 | 173 | 88 | 41 | 9 | 28 | 0 | 1 | 2 | 0 | 1 | 212 | 201 | 11 | 63 | 473 | 824 | 1297 | 2 | 2 | 200 | 145 | 123 | 8 | 3029 | 1165 | 910 | 940 | 25 | 2922 | 1056 | 1301 | 1522 | 271 | 61 | 22.51% | 549 | 145 | 73.59% | 25 | 1112 | 1784 | 62.33% | 1211 | 1974 | 61.35% | 880 | 1415 | 62.19% | 1895 | 1233 | 1852 | 653 | 1204 | 603 |
| 2019 | 84 | 21 | 52 | 0 | 4 | 1 | 4 | 2 | 282 | 322 | -40 | 42 | 15 | 20 | 0 | 2 | 0 | 4 | 1 | 169 | 139 | 30 | 42 | 6 | 32 | 0 | 2 | 1 | 0 | 1 | 113 | 183 | -70 | 61 | 282 | 511 | 793 | 0 | 0 | 97 | 82 | 95 | 11 | 2790 | 967 | 901 | 907 | 34 | 2824 | 932 | 1097 | 1667 | 304 | 76 | 25.00% | 543 | 140 | 74.22% | 14 | 986 | 1820 | 54.18% | 1045 | 1941 | 53.84% | 598 | 1164 | 51.37% | 1924 | 1242 | 1924 | 685 | 1230 | 599 |
| 2020 | 84 | 14 | 65 | 0 | 3 | 1 | 0 | 1 | 319 | 539 | -220 | 42 | 9 | 32 | 0 | 1 | 0 | 0 | 0 | 172 | 244 | -72 | 42 | 5 | 33 | 0 | 2 | 1 | 0 | 1 | 147 | 295 | -148 | 36 | 319 | 524 | 843 | 0 | 0 | 102 | 98 | 116 | 4 | 2811 | 939 | 896 | 963 | 17 | 2565 | 1058 | 789 | 1632 | 330 | 77 | 23.33% | 394 | 132 | 66.50% | 8 | 919 | 1656 | 55.50% | 764 | 1420 | 53.80% | 752 | 1419 | 53.00% | 1950 | 1245 | 1812 | 674 | 1290 | 646 |
| 2021 | 84 | 38 | 43 | 0 | 0 | 0 | 2 | 1 | 495 | 439 | 56 | 42 | 24 | 16 | 0 | 0 | 0 | 1 | 1 | 275 | 198 | 77 | 42 | 14 | 27 | 0 | 0 | 0 | 1 | 0 | 220 | 241 | -21 | 81 | 495 | 785 | 1280 | 2 | 0 | 185 | 161 | 147 | 3 | 2820 | 1005 | 880 | 931 | 15 | 2804 | 1054 | 676 | 1384 | 264 | 94 | 35.61% | 339 | 116 | 65.78% | 15 | 787 | 1475 | 53.36% | 699 | 1474 | 47.42% | 736 | 1525 | 48.26% | 1895 | 1249 | 1896 | 658 | 1263 | 629 |
| Total Saison régulière | 501 | 149 | 275 | 0 | 17 | 19 | 12 | 29 | 1902 | 2625 | -723 | 250 | 90 | 115 | 0 | 10 | 11 | 8 | 16 | 1041 | 1156 | -115 | 251 | 59 | 160 | 0 | 7 | 8 | 4 | 13 | 861 | 1469 | -608 | 404 | 1902 | 2976 | 4878 | 6 | 7 | 684 | 594 | 595 | 49 | 15194 | 5178 | 4893 | 4985 | 295 | 17297 | 6634 | 3418 | 8036 | 1801 | 431 | 23.93% | 1607 | 421 | 73.80% | 42 | 4271 | 9403 | 45.42% | 4337 | 10001 | 43.37% | 3435 | 8006 | 42.91% | 10565 | 6790 | 12347 | 3986 | 7438 | 3598 |
| Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2016 | 9 | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 18 | 1 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 10 | 19 | 32 | 51 | 0 | 0 | 9 | 3 | 6 | 1 | 293 | 113 | 70 | 106 | 4 | 247 | 94 | 114 | 193 | 23 | 2 | 8.70% | 43 | 7 | 83.72% | 2 | 121 | 186 | 65.05% | 135 | 193 | 69.95% | 75 | 102 | 73.53% | 245 | 171 | 177 | 67 | 125 | 65 |
| Total Séries éliminatoires | 11 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 23 | 46 | -23 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 14 | -1 | 6 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 10 | 32 | -22 | 6 | 23 | 36 | 59 | 0 | 0 | 7 | 11 | 3 | 2 | 361 | 132 | 105 | 111 | 13 | 462 | 156 | 60 | 158 | 29 | 6 | 20.69% | 30 | 13 | 56.67% | 2 | 129 | 239 | 53.97% | 133 | 284 | 46.83% | 69 | 140 | 49.29% | 248 | 170 | 302 | 81 | 153 | 75 |
| # | 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 | Jesper Fast | 9 | 5 | 6 | 11 | 7 | 2 | 16 | 24 | 23 | 21.74% | 9 | 194 | 21.59 | 0 | 2 | 2 | 1 | 1 | 1 | 2 | 6 | 1 | 0 | 87.50 | 0 | 1.13 | 0 | 0 |
| 2 | John Mitchell | 9 | 2 | 6 | 8 | 6 | 8 | 17 | 21 | 18 | 11.11% | 4 | 186 | 20.74 | 0 | 0 | 0 | 3 | 0 | 2 | 2 | 3 | 0 | 1 | 80.43 | 0 | 0.86 | 0 | 0 |
| 3 | J.T. Miller | 9 | 2 | 3 | 5 | 6 | 0 | 14 | 8 | 30 | 6.67% | 3 | 136 | 15.12 | 1 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00 | 0 | 0.74 | 0 | 0 |
| 4 | James Sheppard | 9 | 2 | 2 | 4 | 0 | 2 | 9 | 4 | 29 | 6.90% | 3 | 123 | 13.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 33.33 | 0 | 0.65 | 0 | 0 |
| 5 | Jamie McBain | 9 | 0 | 3 | 3 | 5 | 0 | 0 | 8 | 5 | 0.00% | 6 | 195 | 21.72 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.31 | 0 | 0 |
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Mackenzie Skapski | 9 | 5 | 3 | 1 | 0.927 | 1.97 | 548 | 0 | 0 | 18 | 247 | 126 | 0 | 0 | 0.00% | 0 |
