 | Pirates |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Pascal LeBrasseur | Morale : 50 | Moyenne d’équipe : 62 |
|
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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 | Brian Boyle | 0 | X | X | 100.00 | 79 | 76 | 87 | 72 | 91 | 58 | 61 | 60 | 63 | 49 | 48 | 84 | 25 | 52 | 52 | 0 | 50 | 67 | 0 | 37 | 1 | 750,000$ | |||
| 2 | Stefan Noesen | 0 | X | 100.00 | 70 | 75 | 57 | 74 | 75 | 72 | 73 | 72 | 50 | 43 | 43 | 68 | 70 | 59 | 59 | 0 | 50 | 67 | 0 | 29 | 0 | 0$ | ||||
| 3 | Filip Zadina | 0 | X | X | 100.00 | 71 | 42 | 95 | 80 | 68 | 67 | 87 | 75 | 44 | 49 | 47 | 63 | 25 | 60 | 60 | 0 | 50 | 66 | 0 | 22 | 1 | 1,744,167$ | |||
| 4 | Matty Beniers (R) | 0 | X | 100.00 | 69 | 42 | 99 | 82 | 66 | 74 | 49 | 81 | 74 | 56 | 51 | 64 | 25 | 44 | 44 | 0 | 50 | 66 | 0 | 19 | 1 | 1,850,000$ | ||||
| 5 | Alex Newhook (R) | 0 | X | X | 100.00 | 67 | 42 | 94 | 84 | 68 | 66 | 73 | 68 | 59 | 51 | 48 | 68 | 25 | 54 | 55 | 0 | 50 | 65 | 0 | 21 | 0 | 0$ | |||
| 6 | Sam Steel | 0 | X | X | 100.00 | 65 | 41 | 91 | 81 | 67 | 63 | 81 | 63 | 69 | 50 | 46 | 68 | 25 | 62 | 62 | 0 | 50 | 65 | 0 | 24 | 0 | 0$ | |||
| 7 | Janne Kuokkanen | 0 | X | X | 100.00 | 67 | 42 | 93 | 79 | 71 | 65 | 79 | 58 | 29 | 49 | 47 | 76 | 25 | 60 | 60 | 0 | 50 | 65 | 0 | 24 | 0 | 0$ | |||
| 8 | John-Jason Peterka (R) | 0 | X | X | X | 100.00 | 74 | 69 | 87 | 76 | 69 | 63 | 63 | 67 | 80 | 44 | 44 | 65 | 63 | 44 | 44 | 0 | 50 | 64 | 0 | 20 | 1 | 894,167$ | ||
| 9 | Dominic Toninato | 0 | X | X | 100.00 | 77 | 44 | 90 | 76 | 72 | 52 | 67 | 57 | 49 | 47 | 46 | 77 | 25 | 63 | 64 | 0 | 50 | 63 | 0 | 28 | 0 | 0$ | |||
| 10 | Logan Brown | 0 | X | 100.00 | 67 | 44 | 92 | 73 | 85 | 57 | 63 | 64 | 55 | 49 | 47 | 65 | 75 | 51 | 51 | 0 | 50 | 63 | 0 | 24 | 1 | 750,000$ | ||||
| 11 | Joseph Cramarossa | 0 | X | X | 100.00 | 68 | 68 | 67 | 67 | 68 | 59 | 60 | 55 | 69 | 38 | 38 | 59 | 55 | 46 | 46 | 0 | 50 | 59 | 0 | 29 | 0 | 0$ | |||
| 12 | Matt Grzelcyk | 0 | X | 100.00 | 65 | 41 | 89 | 83 | 61 | 76 | 81 | 69 | 25 | 44 | 39 | 67 | 25 | 64 | 67 | 0 | 50 | 64 | 0 | 28 | 0 | 0$ | ||||
| 13 | Ryan Murray | 0 | X | 100.00 | 73 | 43 | 98 | 80 | 75 | 64 | 68 | 59 | 25 | 41 | 38 | 80 | 25 | 68 | 68 | 0 | 50 | 61 | 0 | 28 | 1 | 2,000,000$ | ||||
| 14 | Ryan Merkley (R) | 0 | X | 100.00 | 61 | 41 | 92 | 76 | 64 | 67 | 76 | 69 | 25 | 41 | 38 | 66 | 25 | 47 | 47 | 0 | 50 | 60 | 0 | 22 | 1 | 1,163,333$ | ||||
| 15 | Joey Keane | 0 | X | 100.00 | 67 | 68 | 65 | 61 | 68 | 66 | 70 | 54 | 25 | 35 | 35 | 58 | 41 | 44 | 44 | 0 | 50 | 55 | 0 | 23 | 0 | 0$ | ||||
| Rayé | ||||||||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 69 | 52 | 86 | 76 | 71 | 65 | 70 | 65 | 49 | 46 | 44 | 69 | 37 | 55 | 55 | 0 | 50 | 63 | |||||||||||
| 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 | Joey Daccord (R) | 0 | 100.00 | 62 | 45 | 56 | 77 | 67 | 62 | 63 | 68 | 65 | 65 | 30 | 45 | 45 | 0 | 50 | 63 | 0 | 26 | 0 | 0$ | |
| 2 | Michael Dipietro (R) | 0 | 100.00 | 49 | 41 | 51 | 73 | 51 | 49 | 50 | 54 | 51 | 51 | 30 | 44 | 44 | 0 | 50 | 53 | 0 | 23 | 1 | 910,833$ | |
| Rayé | ||||||||||||||||||||||||
| 1 | Adam Huska | 0 | 100.00 | 51 | 45 | 56 | 87 | 52 | 50 | 53 | 57 | 52 | 52 | 30 | 44 | 44 | 0 | 50 | 56 | 0 | 25 | 1 | 750,000$ | |
| 2 | Michael McNiven | 0 | 100.00 | 44 | 45 | 56 | 76 | 42 | 46 | 50 | 51 | 48 | 48 | 30 | 44 | 44 | 0 | 50 | 52 | 0 | 25 | 1 | 750,000$ | |
| MOYENNE D’ÉQUIPE | 100.00 | 52 | 44 | 55 | 78 | 53 | 52 | 54 | 58 | 54 | 54 | 30 | 44 | 44 | 0 | 50 | 56 | |||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Barry Trotz | 91 | 99 | 83 | 76 | 97 | 92 | 50 | CAN | 61 | 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 |
|---|
| 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 | Waiver Possible | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Huska | Pirates (Bre) | G | 25 | 5/12/1997 | No | 218 Lbs | 193 CM | No | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien | |||||||||
| Alex Newhook | Pirates (Bre) | C/LW | 21 | 1/28/2001 | Yes | 190 Lbs | 178 CM | No | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien | |||||||||||
| Brian Boyle | Pirates (Bre) | C/LW | 37 | 12/18/1984 | No | 245 Lbs | 193 CM | No | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien | |||||||||
| Dominic Toninato | Pirates (Bre) | C/LW | 28 | 3/9/1994 | No | 191 Lbs | 188 CM | No | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL | |||||||||||
| Filip Zadina | Pirates (Bre) | LW/RW | 22 | 11/27/1999 | No | 189 Lbs | 183 CM | No | No | No | No | 1 | Pro & Farm | 1,744,167$ | 1,744,167$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Janne Kuokkanen | Pirates (Bre) | LW/RW | 24 | 5/25/1998 | No | 193 Lbs | 185 CM | No | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL | |||||||||||
| Joey Daccord | Pirates (Bre) | G | 26 | 8/19/1996 | Yes | 197 Lbs | 188 CM | No | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL | |||||||||||
| Joey Keane | Pirates (Bre) | D | 23 | 7/2/1999 | No | 187 Lbs | 183 CM | No | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien | |||||||||||
| John-Jason Peterka | Pirates (Bre) | C/LW/RW | 20 | 1/14/2002 | Yes | 192 Lbs | 180 CM | No | No | No | No | 1 | Pro & Farm | 894,167$ | 894,167$ | 0$ | 0$ | No | Lien | |||||||||
| Joseph Cramarossa | Pirates (Bre) | C/LW | 29 | 10/26/1992 | No | 188 Lbs | 183 CM | No | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien | |||||||||||
| Logan Brown | Pirates (Bre) | C | 24 | 3/4/1998 | No | 220 Lbs | 198 CM | No | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Matt Grzelcyk | Pirates (Bre) | D | 28 | 1/5/1994 | No | 174 Lbs | 175 CM | No | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL | |||||||||||
| Matty Beniers | Pirates (Bre) | C | 19 | 11/5/2002 | Yes | 174 Lbs | 188 CM | No | No | No | No | 1 | Pro & Farm | 1,850,000$ | 1,850,000$ | 0$ | 0$ | No | Lien | |||||||||
| Michael Dipietro | Pirates (Bre) | G | 23 | 6/8/1999 | Yes | 200 Lbs | 183 CM | No | No | No | No | 1 | Pro & Farm | 910,833$ | 910,833$ | 0$ | 0$ | No | Lien | |||||||||
| Michael McNiven | Pirates (Bre) | G | 25 | 7/8/1997 | No | 203 Lbs | 185 CM | No | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien | |||||||||
| Ryan Merkley | Pirates (Bre) | D | 22 | 8/14/2000 | Yes | 176 Lbs | 180 CM | No | No | No | No | 1 | Pro & Farm | 1,163,333$ | 1,163,333$ | 0$ | 0$ | No | Lien | |||||||||
| Ryan Murray | Pirates (Bre) | D | 28 | 9/27/1993 | No | 206 Lbs | 185 CM | No | No | No | No | 1 | Pro & Farm | 2,000,000$ | 2,000,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Sam Steel | Pirates (Bre) | C/LW | 24 | 2/3/1998 | No | 189 Lbs | 180 CM | No | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL | |||||||||||
| Stefan Noesen | Pirates (Bre) | RW | 29 | 2/12/1993 | No | 205 Lbs | 185 CM | No | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 19 | 25.11 | 197 Lbs | 185 CM | 0.53 | 608,553$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Alex Newhook | Matty Beniers | Filip Zadina | 40 | 1 | 2 | 2 |
| 2 | Sam Steel | Logan Brown | John-Jason Peterka | 30 | 1 | 2 | 2 |
| 3 | Brian Boyle | Dominic Toninato | Janne Kuokkanen | 20 | 1 | 2 | 2 |
| 4 | Joseph Cramarossa | Matty Beniers | Stefan Noesen | 10 | 1 | 2 | 2 |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Matt Grzelcyk | 45 | 1 | 2 | 2 | ||
| 2 | Ryan Murray | 35 | 1 | 2 | 2 | ||
| 3 | Ryan Merkley | Joey Keane | 10 | 1 | 2 | 2 | |
| 4 | Ryan Merkley | Joey Keane | 10 | 1 | 2 | 2 | |
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Brian Boyle | Matty Beniers | Janne Kuokkanen | 60 | 1 | 2 | 2 |
| 2 | Sam Steel | Alex Newhook | Filip Zadina | 40 | 1 | 2 | 2 |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Matt Grzelcyk | 60 | 1 | 2 | 2 | ||
| 2 | Ryan Merkley | Ryan Murray | 40 | 1 | 2 | 2 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Matty Beniers | Brian Boyle | 60 | 1 | 2 | 2 |
| 2 | Alex Newhook | Sam Steel | 40 | 1 | 2 | 2 |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Ryan Murray | 60 | 1 | 2 | 2 | |
| 2 | Ryan Merkley | Joey Keane | 40 | 1 | 2 | 2 |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Matty Beniers | 60 | 1 | 2 | 2 | Ryan Murray | 60 | 1 | 2 | 2 | |
| 2 | Alex Newhook | 40 | 1 | 2 | 2 | Ryan Merkley | Joey Keane | 40 | 1 | 2 | 2 |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Matty Beniers | Brian Boyle | 60 | 1 | 2 | 2 |
| 2 | Alex Newhook | Sam Steel | 40 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Ryan Murray | 60 | 1 | 2 | 2 | |
| 2 | Ryan Merkley | Joey Keane | 40 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Brian Boyle | Matty Beniers | Stefan Noesen | Ryan Murray | |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Brian Boyle | Matty Beniers | Stefan Noesen | Ryan Murray | |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Alex Newhook, Sam Steel, John-Jason Peterka | Alex Newhook, Sam Steel | Alex Newhook |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Ryan Murray, Ryan Merkley, Joey Keane | Ryan Murray | Ryan Murray, Ryan Merkley |
| Tirs de pénalité |
|---|
| Stefan Noesen, Brian Boyle, Filip Zadina, Matty Beniers, Alex Newhook |
| Gardien |
|---|
| #1 : Joey Daccord, #2 : Michael Dipietro |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | |
| Total pour les joueurs | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
| 0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
|---|---|---|---|---|---|---|
| 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 |
| Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mises en jeu | ||||||||
|---|---|---|---|---|---|---|---|---|
| Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
| 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
| Temps avec la rondelle | |||||
|---|---|---|---|---|---|
| En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
|---|
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| Prix des billets | 35 | 15 |
| Assistance | 0.00% | 0.00% |
| Assistance PCT | 0.00% | 0.00% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
| 41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
| 0$ | 1,156,250$ | 764,417$ | 0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 0 | 0$ | 0$ |
| # | 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 | Jordan Martinook | 341 | 207 | 252 | 459 | -83 | 207 | 849 | 752 | 1192 | 17.37% | 418 | 7374 | 21.63 | 42 | 62 | 104 | 211 | 3 | 4 | 7 | 26 | 18 | 9 | 57.89 | 13 | 1.24 | 4 | 20 |
| 2 | Sean Kuraly | 416 | 207 | 236 | 443 | -98 | 192 | 960 | 775 | 1358 | 15.24% | 428 | 8592 | 20.65 | 43 | 61 | 104 | 200 | 7 | 5 | 12 | 46 | 23 | 17 | 57.29 | 13 | 1.03 | 8 | 35 |
| 3 | Casey Mittelstadt | 251 | 200 | 150 | 350 | -107 | 52 | 230 | 273 | 1210 | 16.53% | 165 | 4747 | 18.91 | 69 | 49 | 118 | 287 | 0 | 1 | 1 | 4 | 30 | 9 | 60.57 | 13 | 1.47 | 3 | 7 |
| 4 | Filip Zadina | 166 | 126 | 166 | 292 | -3 | 10 | 136 | 103 | 475 | 26.53% | 74 | 2875 | 17.32 | 40 | 46 | 86 | 102 | 0 | 0 | 0 | 0 | 13 | 2 | 33.85 | 11 | 2.03 | 2 | 9 |
| 5 | Sam Steel | 198 | 121 | 167 | 288 | -29 | 28 | 264 | 254 | 609 | 19.87% | 114 | 3661 | 18.49 | 19 | 44 | 63 | 68 | 2 | 0 | 2 | 16 | 4 | 2 | 62.27 | 14 | 1.57 | 1 | 2 |
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Juuse Saros | 230 | 148 | 53 | 29 | 0.938 | 2.08 | 13924 | 6 | 6 | 482 | 7736 | 4167 | 38 | 4 | 0.650 | 103 |
| 2 | Joey Daccord | 113 | 45 | 44 | 14 | 0.836 | 5.29 | 6323 | 4 | 0 | 557 | 3388 | 2003 | 13 | 0 | 0.758 | 33 |
| 3 | Zane McIntyre | 149 | 34 | 98 | 17 | 0.897 | 3.43 | 8895 | 6 | 2 | 508 | 4921 | 2669 | 3 | 6 | 0.500 | 40 |
| 4 | Jordan Binnington | 87 | 21 | 52 | 9 | 0.906 | 3.01 | 4971 | 4 | 2 | 249 | 2636 | 1414 | 1 | 0 | 0.732 | 41 |
| 5 | Andrei Vasilevskiy | 19 | 12 | 5 | 2 | 0.935 | 1.72 | 1153 | 2 | 2 | 33 | 507 | 255 | 0 | 0 | 0.800 | 5 |
| 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 | 17 | 52 | 0 | 0 | 3 | 4 | 7 | 235 | 322 | -87 | 41 | 11 | 23 | 0 | 0 | 1 | 3 | 3 | 120 | 102 | 18 | 42 | 6 | 29 | 0 | 0 | 2 | 1 | 4 | 115 | 220 | -105 | 52 | 235 | 373 | 608 | 0 | 2 | 59 | 95 | 77 | 9 | 2026 | 663 | 656 | 678 | 81 | 2629 | 978 | 547 | 1448 | 268 | 50 | 18.66% | 236 | 57 | 75.85% | 9 | 588 | 1441 | 40.80% | 626 | 1628 | 38.45% | 475 | 1143 | 41.56% | 1688 | 1050 | 2096 | 668 | 1259 | 624 |
| 2017 | 84 | 14 | 50 | 0 | 5 | 4 | 2 | 9 | 294 | 245 | 49 | 42 | 8 | 22 | 0 | 4 | 1 | 1 | 6 | 137 | 110 | 27 | 42 | 6 | 28 | 0 | 1 | 3 | 1 | 3 | 157 | 135 | 22 | 55 | 294 | 496 | 790 | 4 | 3 | 93 | 106 | 88 | 9 | 2043 | 658 | 682 | 666 | 66 | 2614 | 921 | 132 | 1541 | 272 | 40 | 14.71% | 65 | 5 | 92.31% | 6 | 618 | 1364 | 45.31% | 662 | 1505 | 43.99% | 544 | 1073 | 50.70% | 1689 | 1012 | 2061 | 700 | 1362 | 687 |
| 2018 | 82 | 19 | 49 | 0 | 6 | 3 | 2 | 3 | 349 | 328 | 21 | 41 | 11 | 20 | 0 | 4 | 3 | 1 | 2 | 187 | 158 | 29 | 41 | 8 | 29 | 0 | 2 | 0 | 1 | 1 | 162 | 170 | -8 | 60 | 349 | 582 | 931 | 2 | 0 | 133 | 122 | 86 | 9 | 2808 | 955 | 930 | 902 | 33 | 2806 | 950 | 435 | 1720 | 334 | 68 | 20.36% | 202 | 64 | 68.32% | 2 | 1048 | 1787 | 58.65% | 937 | 1596 | 58.71% | 715 | 1213 | 58.94% | 1879 | 1180 | 1780 | 656 | 1295 | 674 |
| 2019 | 84 | 48 | 16 | 0 | 0 | 4 | 7 | 9 | 279 | 222 | 57 | 42 | 27 | 6 | 0 | 0 | 2 | 3 | 4 | 150 | 120 | 30 | 42 | 21 | 10 | 0 | 0 | 2 | 4 | 5 | 129 | 102 | 27 | 123 | 279 | 419 | 698 | 2 | 3 | 120 | 66 | 86 | 16 | 3221 | 1208 | 1012 | 954 | 108 | 2945 | 1017 | 446 | 1412 | 359 | 90 | 25.07% | 219 | 39 | 82.19% | 3 | 954 | 2087 | 45.71% | 784 | 1898 | 41.31% | 459 | 1076 | 42.66% | 1992 | 1400 | 1993 | 627 | 1146 | 554 |
| 2020 | 84 | 24 | 52 | 0 | 2 | 3 | 1 | 2 | 285 | 525 | -240 | 42 | 13 | 25 | 0 | 1 | 1 | 1 | 1 | 159 | 241 | -82 | 42 | 11 | 27 | 0 | 1 | 2 | 0 | 1 | 126 | 284 | -158 | 59 | 285 | 424 | 709 | 2 | 0 | 84 | 98 | 100 | 6 | 2411 | 777 | 821 | 801 | 28 | 2710 | 1137 | 554 | 1833 | 315 | 67 | 21.27% | 278 | 77 | 72.30% | 6 | 679 | 1426 | 47.62% | 710 | 1448 | 49.03% | 707 | 1366 | 51.76% | 1761 | 1055 | 1956 | 691 | 1348 | 680 |
| 2021 | 84 | 37 | 37 | 0 | 2 | 2 | 2 | 4 | 366 | 608 | -242 | 42 | 20 | 17 | 0 | 1 | 1 | 1 | 2 | 216 | 300 | -84 | 42 | 17 | 20 | 0 | 1 | 1 | 1 | 2 | 150 | 308 | -158 | 88 | 366 | 586 | 952 | 0 | 1 | 135 | 123 | 104 | 5 | 2797 | 1003 | 985 | 791 | 38 | 2557 | 1063 | 610 | 2015 | 287 | 80 | 27.87% | 291 | 105 | 63.92% | 9 | 903 | 1504 | 60.04% | 838 | 1429 | 58.64% | 925 | 1554 | 59.52% | 2042 | 1335 | 1748 | 638 | 1290 | 662 |
| 2022 | 82 | 33 | 31 | 0 | 3 | 6 | 3 | 6 | 674 | 427 | 247 | 41 | 21 | 11 | 0 | 1 | 4 | 1 | 3 | 383 | 200 | 183 | 41 | 12 | 20 | 0 | 2 | 2 | 2 | 3 | 291 | 227 | 64 | 90 | 674 | 1035 | 1709 | 0 | 0 | 241 | 212 | 215 | 9 | 2596 | 813 | 860 | 892 | 64 | 2659 | 1094 | 409 | 1201 | 294 | 114 | 38.78% | 201 | 78 | 61.19% | 8 | 708 | 1314 | 53.88% | 744 | 1364 | 54.55% | 905 | 1680 | 53.87% | 1859 | 1216 | 1818 | 655 | 1301 | 658 |
| Total Saison régulière | 583 | 192 | 287 | 0 | 18 | 25 | 21 | 40 | 2482 | 2677 | -195 | 291 | 111 | 124 | 0 | 11 | 13 | 11 | 21 | 1352 | 1231 | 121 | 292 | 81 | 163 | 0 | 7 | 12 | 10 | 19 | 1130 | 1446 | -316 | 527 | 2482 | 3915 | 6397 | 10 | 9 | 865 | 822 | 756 | 63 | 17902 | 6077 | 5946 | 5684 | 418 | 18920 | 7160 | 3133 | 11170 | 2129 | 509 | 23.91% | 1492 | 425 | 71.51% | 43 | 5498 | 10923 | 50.33% | 5301 | 10868 | 48.78% | 4730 | 9105 | 51.95% | 12913 | 8251 | 13456 | 4638 | 9003 | 4542 |
| Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2016 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 5 | 19 | -14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 11 | -10 | 0 | 5 | 9 | 14 | 0 | 0 | 2 | 3 | 0 | 0 | 79 | 30 | 26 | 23 | 0 | 125 | 53 | 36 | 82 | 8 | 2 | 25.00% | 18 | 4 | 77.78% | 0 | 12 | 53 | 22.64% | 21 | 81 | 25.93% | 17 | 47 | 36.17% | 70 | 37 | 104 | 34 | 64 | 32 |
| 2019 | 17 | 12 | 5 | 0 | 0 | 0 | 0 | 0 | 55 | 43 | 12 | 10 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 19 | 17 | 7 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 19 | 24 | -5 | 24 | 55 | 83 | 138 | 0 | 0 | 23 | 15 | 12 | 5 | 712 | 244 | 202 | 218 | 48 | 676 | 242 | 104 | 314 | 65 | 18 | 27.69% | 52 | 10 | 80.77% | 4 | 197 | 437 | 45.08% | 160 | 435 | 36.78% | 81 | 218 | 37.16% | 415 | 295 | 443 | 124 | 228 | 110 |
| 2021 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 7 | 45 | -38 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 20 | -16 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 25 | -22 | 0 | 7 | 10 | 17 | 0 | 0 | 4 | 0 | 3 | 0 | 135 | 42 | 43 | 50 | 0 | 139 | 57 | 26 | 95 | 2 | 1 | 50.00% | 13 | 5 | 61.54% | 1 | 32 | 75 | 42.67% | 37 | 72 | 51.39% | 34 | 77 | 44.16% | 87 | 59 | 97 | 25 | 55 | 27 |
| Total Séries éliminatoires | 25 | 12 | 13 | 0 | 0 | 0 | 0 | 0 | 67 | 107 | -40 | 14 | 10 | 4 | 0 | 0 | 0 | 0 | 0 | 44 | 47 | -3 | 11 | 2 | 9 | 0 | 0 | 0 | 0 | 0 | 23 | 60 | -37 | 24 | 67 | 102 | 169 | 0 | 0 | 29 | 18 | 15 | 5 | 926 | 316 | 271 | 291 | 48 | 940 | 352 | 166 | 491 | 75 | 21 | 28.00% | 83 | 19 | 77.11% | 5 | 241 | 565 | 42.65% | 218 | 588 | 37.07% | 132 | 342 | 38.60% | 573 | 392 | 645 | 184 | 348 | 169 |
| # | 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 | Casey Mittelstadt | 21 | 22 | 12 | 34 | -7 | 8 | 34 | 34 | 159 | 13.84% | 31 | 438 | 20.88 | 4 | 6 | 10 | 44 | 0 | 0 | 0 | 1 | 6 | 0 | 54.84 | 0 | 1.55 | 0 | 0 |
| 2 | Rasmus Andersson | 17 | 16 | 16 | 32 | 8 | 2 | 26 | 34 | 116 | 13.79% | 42 | 464 | 27.34 | 9 | 5 | 14 | 53 | 1 | 2 | 3 | 4 | 3 | 1 | 0.00% | 0 | 1.38 | 0 | 0 |
| 3 | Sean Kuraly | 21 | 6 | 12 | 18 | -7 | 18 | 36 | 48 | 92 | 6.52% | 35 | 397 | 18.95 | 1 | 7 | 8 | 13 | 1 | 2 | 3 | 4 | 1 | 0 | 63.64 | 0 | 0.90 | 0 | 0 |
| 4 | Stefan Noesen | 21 | 5 | 10 | 15 | -11 | 12 | 36 | 24 | 82 | 6.10% | 17 | 318 | 15.19 | 3 | 4 | 7 | 26 | 0 | 0 | 0 | 0 | 2 | 0 | 70.59 | 0 | 0.94 | 0 | 0 |
| 5 | Igor Ozhiganov | 17 | 0 | 8 | 8 | -3 | 8 | 18 | 7 | 36 | 0.00% | 16 | 318 | 18.76 | 0 | 1 | 1 | 11 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0.50 | 0 | 0 |
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Juuse Saros | 17 | 12 | 2 | 3 | 0.936 | 2.38 | 1086 | 0 | 0 | 43 | 676 | 363 | 4 | 0 | 0.00% | 0 |
| 2 | Jordan Binnington | 4 | 0 | 4 | 0 | 0.848 | 4.75 | 240 | 0 | 0 | 19 | 125 | 63 | 0 | 0 | 0.00% | 0 |
| 3 | Joey Daccord | 4 | 0 | 4 | 0 | 0.780 | 8.86 | 176 | 0 | 0 | 26 | 118 | 65 | 0 | 0 | 0.00% | 0 |
Barracuda
Caribou
Casse-Tete
Chevalier
Hybrides
Knights
Pingouins
Werewolves
Benchwarmers
Diabotins
Hooligans
Jardiniers
Leftovers
Requins
Vagabond
