 | Crunch |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Karl | Morale : 50 | Moyenne d’équipe : N/A Prochain matchs #3 vs Wolfpack |
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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 | Josh Leivo | 0 | X | X | 100.00 | 67 | 33 | 90 | 65 | 77 | 73 | 73 | 66 | 58 | 65 | 70 | 60 | 68 | 74 | 73 | 0 | 50 | 0 | 0 | 29 | 1 | 1,000,000$ | |||
| 2 | Keegan Kolesar | 0 | X | X | X | 100.00 | 92 | 58 | 72 | 61 | 85 | 74 | 88 | 66 | 61 | 71 | 64 | 70 | 65 | 67 | 64 | 0 | 50 | 0 | 0 | 25 | 2 | 1,000,000$ | ||
| 3 | Jack Drury (R) | 0 | X | 100.00 | 73 | 39 | 69 | 68 | 68 | 67 | 72 | 66 | 65 | 70 | 67 | 63 | 68 | 61 | 58 | 0 | 50 | 0 | 0 | 22 | 2 | 925,000$ | ||||
| 4 | Lukas Reichel (R) | 0 | X | X | 100.00 | 57 | 37 | 95 | 72 | 67 | 67 | 71 | 69 | 65 | 73 | 69 | 58 | 71 | 58 | 58 | 0 | 50 | 0 | 0 | 20 | 2 | 925,000$ | |||
| 5 | Matthew Phillips | 0 | X | X | 100.00 | 60 | 36 | 91 | 69 | 52 | 68 | 75 | 67 | 65 | 71 | 70 | 64 | 71 | 65 | 64 | 0 | 50 | 0 | 0 | 24 | 2 | 900,000$ | |||
| 6 | Tyce Thompson | 0 | X | 100.00 | 59 | 38 | 92 | 60 | 70 | 61 | 70 | 60 | 65 | 63 | 57 | 63 | 60 | 63 | 62 | 0 | 50 | 0 | 0 | 23 | 2 | 950,000$ | ||||
| 7 | Cooper Marody | 0 | X | 100.00 | 70 | 40 | 74 | 69 | 72 | 70 | 74 | 68 | 65 | 71 | 72 | 69 | 71 | 69 | 66 | 0 | 50 | 0 | 0 | 25 | 2 | 850,000$ | ||||
| 8 | Alexander Holtz (R) | 0 | X | X | 100.00 | 58 | 38 | 94 | 71 | 76 | 66 | 71 | 67 | 65 | 69 | 71 | 58 | 70 | 58 | 57 | 0 | 50 | 0 | 0 | 20 | 2 | 925,000$ | |||
| 9 | Steven Santini | 0 | X | 100.00 | 62 | 39 | 87 | 60 | 81 | 63 | 71 | 60 | 65 | 63 | 60 | 65 | 61 | 70 | 69 | 0 | 50 | 0 | 0 | 27 | 1 | 750,000$ | ||||
| 10 | Noah Juulsen | 0 | X | 100.00 | 79 | 42 | 60 | 60 | 80 | 62 | 71 | 58 | 65 | 64 | 57 | 65 | 61 | 66 | 62 | 0 | 50 | 0 | 0 | 25 | 2 | 850,000$ | ||||
| 11 | Hayden Shaw | 0 | X | 100.00 | 81 | 41 | 55 | 58 | 71 | 63 | 67 | 58 | 30 | 63 | 58 | 68 | 61 | 68 | 75 | 0 | 50 | 0 | 0 | 26 | 1 | 800,000$ | ||||
| 12 | Kyle Burroughs | 0 | X | 100.00 | 91 | 54 | 68 | 55 | 75 | 76 | 74 | 63 | 30 | 65 | 57 | 74 | 60 | 70 | 67 | 0 | 50 | 0 | 0 | 27 | 2 | 800,000$ | ||||
| 13 | Oskari Laaksonen | 0 | X | 100.00 | 77 | 40 | 62 | 69 | 69 | 68 | 75 | 71 | 65 | 75 | 65 | 63 | 70 | 63 | 59 | 0 | 50 | 0 | 0 | 23 | 1 | 853,333$ | ||||
| Rayé | ||||||||||||||||||||||||||||||
| 1 | Alex Beaucage (R) | 0 | X | 100.00 | 66 | 39 | 81 | 62 | 76 | 62 | 69 | 60 | 65 | 63 | 59 | 64 | 61 | 59 | 57 | 0 | 50 | 0 | 0 | 21 | 2 | 878,333$ | ||||
| 2 | Adam Sykora (R) | 0 | X | X | 100.00 | 59 | 37 | 95 | 64 | 66 | 66 | 84 | 59 | 41 | 60 | 62 | 58 | 61 | 58 | 58 | 0 | 50 | 0 | 0 | 18 | 3 | 870,000$ | |||
| 3 | Mikko Kokkonen (R) | 0 | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 50 | 0 | 0 | 21 | 3 | 846,667$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 66 | 38 | 74 | 60 | 68 | 63 | 69 | 60 | 54 | 63 | 60 | 60 | 61 | 61 | 59 | 0 | 50 | 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 |
| # | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dom Ducharme | 72 | 62 | 60 | 59 | 45 | 46 | 57 | CAN | 48 | 1 | 600,000$ |
| 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 | Contrat | Type | Salaire actuel | Salaire restant | Salaire moyen | Salaire moyen restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Sykora | Crunch (TBL) | LW/RW | 18 | 2004-09-07 | Yes | 172 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 870,000$ | 870,000$ | 870,000$ | 870,000$ | 0$ | 0$ | No | 870,000$ | 870,000$ | ||||||||
| Alex Beaucage | Crunch (TBL) | RW | 21 | 2001-07-25 | Yes | 192 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 878,333$ | 878,333$ | 878,333$ | 878,333$ | 0$ | 0$ | No | 878,333$ | |||||||||
| Alexander Holtz | Crunch (TBL) | LW/RW | 20 | 2002-01-23 | Yes | 195 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien / Lien NHL | ||||||||
| Cooper Marody | Crunch (TBL) | C | 25 | 1996-12-20 | No | 184 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 850,000$ | 850,000$ | 850,000$ | 850,000$ | 0$ | 0$ | No | 850,000$ | Lien / Lien NHL | ||||||||
| Hayden Shaw | Crunch (TBL) | D | 26 | 1996-06-05 | No | 194 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 800,000$ | 800,000$ | 800,000$ | 800,000$ | 0$ | 0$ | No | Lien | |||||||||
| Jack Drury | Crunch (TBL) | C | 22 | 2000-02-03 | Yes | 174 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien NHL | ||||||||
| Josh Leivo | Crunch (TBL) | LW/RW | 29 | 1993-05-26 | No | 192 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Keegan Kolesar | Crunch (TBL) | C/LW/RW | 25 | 1997-04-08 | No | 221 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | Lien / Lien NHL | ||||||||
| Kyle Burroughs | Crunch (TBL) | D | 27 | 1995-07-12 | No | 193 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 800,000$ | 800,000$ | 800,000$ | 800,000$ | 0$ | 0$ | No | 800,000$ | Lien / Lien NHL | ||||||||
| Lukas Reichel | Crunch (TBL) | C/LW | 20 | 2002-05-17 | Yes | 170 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien NHL | ||||||||
| Matthew Phillips | Crunch (TBL) | C/LW | 24 | 1998-04-06 | No | 140 Lbs | 5 ft7 | No | No | No | 2 | Pro & Farm | 900,000$ | 900,000$ | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | Lien / Lien NHL | ||||||||
| Mikko Kokkonen | Crunch (TBL) | D | 21 | 2001-01-18 | Yes | 198 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 846,667$ | 846,667$ | 846,667$ | 846,667$ | 0$ | 0$ | No | 846,667$ | 846,667$ | ||||||||
| Noah Juulsen | Crunch (TBL) | D | 25 | 1997-04-02 | No | 201 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 850,000$ | 850,000$ | 850,000$ | 850,000$ | 0$ | 0$ | No | 850,000$ | Lien / Lien NHL | ||||||||
| Oskari Laaksonen | Crunch (TBL) | D | 23 | 1999-07-02 | No | 172 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 853,333$ | 853,333$ | 853,333$ | 853,333$ | 0$ | 0$ | No | Lien | |||||||||
| Steven Santini | Crunch (TBL) | D | 27 | 1995-03-07 | No | 205 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Tyce Thompson | Crunch (TBL) | RW | 23 | 1999-07-12 | No | 175 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 950,000$ | 950,000$ | 950,000$ | 950,000$ | 0$ | 0$ | No | 950,000$ | Lien |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 16 | 23.50 | 186 Lbs | 6 ft0 | 1.88 | 882,708$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Keegan Kolesar | 40 | 1 | 2 | 2 | ||
| 2 | Matthew Phillips | Tyce Thompson | 30 | 1 | 2 | 2 | |
| 3 | Alexander Holtz | 20 | 1 | 2 | 2 | ||
| 4 | Keegan Kolesar | 10 | 1 | 2 | 2 | ||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Oskari Laaksonen | Kyle Burroughs | 40 | 1 | 2 | 2 | |
| 2 | Noah Juulsen | Hayden Shaw | 30 | 1 | 2 | 2 | |
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | Oskari Laaksonen | Kyle Burroughs | 10 | 1 | 2 | 2 | |
| Attaque en svantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Keegan Kolesar | 60 | 1 | 2 | 2 | ||
| 2 | Matthew Phillips | Tyce Thompson | 40 | 1 | 2 | 2 | |
| Défense en svantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Oskari Laaksonen | Kyle Burroughs | 60 | 1 | 2 | 2 | |
| 2 | Noah Juulsen | Hayden Shaw | 40 | 1 | 2 | 2 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | Keegan Kolesar | Matthew Phillips | 40 | 1 | 2 | 2 |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Oskari Laaksonen | Kyle Burroughs | 60 | 1 | 2 | 2 |
| 2 | Noah Juulsen | Hayden Shaw | 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 | Oskari Laaksonen | Kyle Burroughs | 60 | 1 | 2 | 2 | |
| 2 | 40 | 1 | 2 | 2 | Noah Juulsen | Hayden Shaw | 40 | 1 | 2 | 2 | |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | Keegan Kolesar | Matthew Phillips | 40 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Oskari Laaksonen | Kyle Burroughs | 60 | 1 | 2 | 2 |
| 2 | Noah Juulsen | Hayden Shaw | 40 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Keegan Kolesar | Oskari Laaksonen | Kyle Burroughs | ||
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Keegan Kolesar | Oskari Laaksonen | Kyle Burroughs | ||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Alexander Holtz, Tyce Thompson, Matthew Phillips | Alexander Holtz, Tyce Thompson | Matthew Phillips |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Noah Juulsen, Hayden Shaw, Oskari Laaksonen | Noah Juulsen | Hayden Shaw, Oskari Laaksonen |
| Tirs de pénalité |
|---|
| , , Keegan Kolesar, Matthew Phillips, Tyce Thompson |
| Gardien |
|---|
| #1 : , #2 : |
| Lignes d’attaque personnalisées en prolongation |
|---|
| , , Keegan Kolesar, Matthew Phillips, Tyce Thompson, Alexander Holtz, Alexander Holtz, , , , |
| Lignes de défense personnalisées en prolongation |
|---|
| Oskari Laaksonen, Kyle Burroughs, Noah Juulsen, Hayden Shaw, |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 5 - 2022-05-06 | 3 | Crunch | - |  Wolfpack | - | |||||
| 8 - 2022-05-09 | 21 | Crunch | - |  Monsters | - | |||||
| 9 - 2022-05-10 | 31 | Crunch | - |  Penguins | - | |||||
| 12 - 2022-05-13 | 53 |  Phantoms | - | Crunch | - | |||||
| 15 - 2022-05-16 | 71 | Crunch | - |  Thunderbirds | - | |||||
| 16 - 2022-05-17 | 81 |  Sound Tigers | - | Crunch | - | |||||
| 19 - 2022-05-20 | 106 | Crunch | - |  Reign | - | |||||
| 20 - 2022-05-21 | 110 | Crunch | - |  Gulls | - | |||||
| 23 - 2022-05-24 | 128 | Crunch | - |  Barracudas | - | |||||
| 26 - 2022-05-27 | 148 |  Senators | - | Crunch | - | |||||
| 28 - 2022-05-29 | 162 |  Checkers | - | Crunch | - | |||||
| 30 - 2022-05-31 | 181 |  Americans | - | Crunch | - | |||||
| 33 - 2022-06-03 | 202 |  Condors | - | Crunch | - | |||||
| 36 - 2022-06-06 | 222 | Crunch | - |  Bears | - | |||||
| 38 - 2022-06-08 | 242 | Bears | - | Crunch | - | |||||
| 40 - 2022-06-10 | 248 |  Stars | - | Crunch | - | |||||
| 42 - 2022-06-12 | 260 |  Heat | - | Crunch | - | |||||
| 44 - 2022-06-14 | 285 | Crunch | - |  Admirals | - | |||||
| 46 - 2022-06-16 | 291 |  Bruins | - | Crunch | - | |||||
| 50 - 2022-06-20 | 328 |  Rampage | - | Crunch | - | |||||
| 53 - 2022-06-23 | 347 | Crunch | - | Americans | - | |||||
| 54 - 2022-06-24 | 355 | Crunch | - | Bruins | - | |||||
| 56 - 2022-06-26 | 367 | Crunch | - | Phantoms | - | |||||
| 58 - 2022-06-28 | 385 |  Marlies | - | Crunch | - | |||||
| 61 - 2022-07-01 | 405 |  Griffins | - | Crunch | - | |||||
| 63 - 2022-07-03 | 421 | Admirals | - | Crunch | - | |||||
| 65 - 2022-07-05 | 436 | Thunderbirds | - | Crunch | - | |||||
| 68 - 2022-07-08 | 459 |  Nordiques | - | Crunch | - | |||||
| 70 - 2022-07-10 | 470 | Monsters | - | Crunch | - | |||||
| 72 - 2022-07-12 | 490 | Crunch | - |  Rocket | - | |||||
| 75 - 2022-07-15 | 513 | Crunch | - | Marlies | - | |||||
| 76 - 2022-07-16 | 519 | Crunch | - | Griffins | - | |||||
| 78 - 2022-07-18 | 536 | Crunch | - | Americans | - | |||||
| 83 - 2022-07-23 | 559 | Rocket | - | Crunch | - | |||||
| 84 - 2022-07-24 | 565 | Wolfpack | - | Crunch | - | |||||
| 86 - 2022-07-26 | 583 |  Roadrunners | - | Crunch | - | |||||
| 89 - 2022-07-29 | 605 | Crunch | - |  IceHogs | - | |||||
| 90 - 2022-07-30 | 610 | Crunch | - |  Wild | - | |||||
| 92 - 2022-08-01 | 624 | Crunch | - |  Moose | - | |||||
| 96 - 2022-08-05 | 648 | Monsters | - | Crunch | - | |||||
| 98 - 2022-08-07 | 667 |  Comets | - | Crunch | - | |||||
| 100 - 2022-08-09 | 688 | Crunch | - | Rampage | - | |||||
| 102 - 2022-08-11 | 698 | Crunch | - | Nordiques | - | |||||
| 104 - 2022-08-13 | 714 | Crunch | - | Comets | - | |||||
| 105 - 2022-08-14 | 725 | Crunch | - | Condors | - | |||||
| 107 - 2022-08-16 | 733 | Crunch | - | Heat | - | |||||
| 110 - 2022-08-19 | 758 | Wild | - | Crunch | - | |||||
| 112 - 2022-08-21 | 771 | Bruins | - | Crunch | - | |||||
| 114 - 2022-08-23 | 791 | Reign | - | Crunch | - | |||||
| 123 - 2022-09-01 | 808 | Crunch | - | Thunderbirds | - | |||||
| 124 - 2022-09-02 | 814 | Barracudas | - | Crunch | - | |||||
| 126 - 2022-09-04 | 821 |  Eagles | - | Crunch | - | |||||
| 128 - 2022-09-06 | 837 | Crunch | - | Stars | - | |||||
| 131 - 2022-09-09 | 862 | Crunch | - | Eagles | - | |||||
| 132 - 2022-09-10 | 865 | Crunch | - | Roadrunners | - | |||||
| 135 - 2022-09-13 | 895 | Crunch | - |  Wolves | - | |||||
| 138 - 2022-09-16 | 908 | Gulls | - | Crunch | - | |||||
| 140 - 2022-09-18 | 921 | Americans | - | Crunch | - | |||||
| 142 - 2022-09-20 | 942 | Crunch | - | Griffins | - | |||||
| 143 - 2022-09-21 | 951 | Crunch | - | Penguins | - | |||||
| 145 - 2022-09-23 | 960 | Thunderbirds | - | Crunch | - | |||||
| 147 - 2022-09-25 | 977 | Penguins | - | Crunch | - | |||||
| 150 - 2022-09-28 | 1001 | Crunch | - | Checkers | - | |||||
| 152 - 2022-09-30 | 1014 | Phantoms | - | Crunch | - | |||||
| 154 - 2022-10-02 | 1031 | Wolves | - | Crunch | - | |||||
| 156 - 2022-10-04 | 1042 | IceHogs | - | Crunch | - | |||||
| 157 - 2022-10-05 | 1057 | Moose | - | Crunch | - | |||||
| 159 - 2022-10-07 | 1065 | Crunch | - |  Devils | - | |||||
| 161 - 2022-10-09 | 1083 | Crunch | - | Devils | - | |||||
| 163 - 2022-10-11 | 1101 | Rocket | - | Crunch | - | |||||
| 164 - 2022-10-12 | 1113 | Devils | - | Crunch | - | |||||
| 166 - 2022-10-14 | 1126 | Crunch | - | Rocket | - | |||||
| 168 - 2022-10-16 | 1139 | Crunch | - | Senators | - | |||||
| 170 - 2022-10-18 | 1151 | Crunch | - | Bruins | - | |||||
| 173 - 2022-10-21 | 1179 | Crunch | - | Checkers | - | |||||
| 175 - 2022-10-23 | 1194 | Bears | - | Crunch | - | |||||
| 177 - 2022-10-25 | 1209 | Sound Tigers | - | Crunch | - | |||||
| 181 - 2022-10-29 | 1241 | Crunch | - | Wolfpack | - | |||||
| 182 - 2022-10-30 | 1249 | Crunch | - | Sound Tigers | - | |||||
| 184 - 2022-11-01 | 1267 | Crunch | - | Senators | - | |||||
| 187 - 2022-11-04 | 1289 | Marlies | - | Crunch | - | |||||
| 189 - 2022-11-06 | 1300 | Griffins | - | Crunch | - |
| 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$ | 10,592,500$ | 10,592,500$ | 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$ | 189 | 59,220$ | 11,192,580$ |
| # | 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 | Sven Baertschi | 56 | 23 | 35 | 58 | 13 | 46 | 82 | 138 | 151 | 15.23% | 22 | 1217 | 21.73 | 6 | 12 | 18 | 41 | 2 | 3 | 5 | 8 | 3 | 3 | 49.91% | 0 | 0.95 | 2 | 6 |
| 2 | Jason Robertson | 56 | 19 | 26 | 45 | 18 | 42 | 67 | 109 | 161 | 11.80% | 13 | 1169 | 20.89 | 1 | 11 | 12 | 44 | 1 | 0 | 1 | 5 | 2 | 3 | 61.67% | 0 | 0.77 | 1 | 1 |
| 3 | Sam Gagner | 56 | 19 | 25 | 44 | 12 | 22 | 32 | 130 | 136 | 13.97% | 17 | 1240 | 22.16 | 4 | 10 | 14 | 37 | 3 | 2 | 5 | 11 | 8 | 2 | 50.90% | 0 | 0.71 | 1 | 6 |
| 4 | Sam Steel | 56 | 10 | 32 | 42 | 15 | 12 | 16 | 176 | 115 | 8.70% | 13 | 1132 | 20.22 | 2 | 12 | 14 | 31 | 0 | 1 | 1 | 1 | 4 | 1 | 63.45% | 0 | 0.74 | 3 | 6 |
| 5 | Sam Carrick | 56 | 18 | 23 | 41 | 12 | 47 | 64 | 70 | 127 | 14.17% | 5 | 933 | 16.67 | 7 | 10 | 17 | 32 | 0 | 0 | 0 | 0 | 3 | 2 | 72.06% | 0 | 0.88 | 0 | 1 |
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Anders Nilsson | 56 | 39 | 12 | 3 | 0.894 | 2.13 | 3299 | 6 | 4 | 117 | 1100 | 0 | 3 | 0 | 0.750 | 16 |
| 2 | Jake Oettinger | 5 | 2 | 0 | 0 | 0.971 | 0.54 | 112 | 0 | 0 | 1 | 35 | 0 | 1 | 0 | 0.667 | 3 |
| 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 1 | 56 | 29 | 12 | 0 | 8 | 1 | 4 | 2 | 167 | 120 | 47 | 28 | 13 | 7 | 0 | 5 | 0 | 2 | 1 | 80 | 62 | 18 | 28 | 16 | 5 | 0 | 3 | 1 | 2 | 1 | 87 | 58 | 29 | 85 | 167 | 273 | 440 | 0 | 4 | 56 | 57 | 42 | 15 | 1221 | 372 | 421 | 391 | 57 | 1135 | 332 | 788 | 955 | 317 | 39 | 12.30% | 317 | 43 | 86.44% | 6 | 923 | 1551 | 59.51% | 856 | 1546 | 55.37% | 457 | 814 | 56.14% | 1421 | 1012 | 1321 | 413 | 671 | 331 |
| Total Saison régulière | 56 | 29 | 12 | 0 | 8 | 1 | 4 | 2 | 167 | 120 | 47 | 28 | 13 | 7 | 0 | 5 | 0 | 2 | 1 | 80 | 62 | 18 | 28 | 16 | 5 | 0 | 3 | 1 | 2 | 1 | 87 | 58 | 29 | 85 | 167 | 273 | 440 | 0 | 4 | 56 | 57 | 42 | 15 | 1221 | 372 | 421 | 391 | 57 | 1135 | 332 | 788 | 955 | 317 | 39 | 12.30% | 317 | 43 | 86.44% | 6 | 923 | 1551 | 59.51% | 856 | 1546 | 55.37% | 457 | 814 | 56.14% | 1421 | 1012 | 1321 | 413 | 671 | 331 |
| Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 1 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 24 | -4 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 8 | 17 | -9 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 6 | 20 | 33 | 53 | 0 | 0 | 7 | 9 | 2 | 2 | 122 | 44 | 39 | 31 | 8 | 208 | 61 | 132 | 121 | 31 | 3 | 9.68% | 45 | 8 | 82.22% | 0 | 89 | 176 | 50.57% | 121 | 249 | 48.59% | 68 | 114 | 59.65% | 160 | 110 | 200 | 57 | 91 | 42 |
| Total Séries éliminatoires | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 24 | -4 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 8 | 17 | -9 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 6 | 20 | 33 | 53 | 0 | 0 | 7 | 9 | 2 | 2 | 122 | 44 | 39 | 31 | 8 | 208 | 61 | 132 | 121 | 31 | 3 | 9.68% | 45 | 8 | 82.22% | 0 | 89 | 176 | 50.57% | 121 | 249 | 48.59% | 68 | 114 | 59.65% | 160 | 110 | 200 | 57 | 91 | 42 |
| # | 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 | Sam Steel | 7 | 1 | 6 | 7 | -3 | 0 | 5 | 18 | 7 | 14.29% | 1 | 147 | 21.02 | 0 | 3 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 59.18% | 0 | 0.95 | 0 | 0 |
| 2 | Sam Carrick | 7 | 3 | 3 | 6 | 1 | 6 | 5 | 10 | 19 | 15.79% | 2 | 125 | 17.95 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 45.45% | 0 | 0.95 | 0 | 0 |
| 3 | Jason Robertson | 7 | 4 | 2 | 6 | -3 | 6 | 12 | 14 | 19 | 21.05% | 7 | 152 | 21.75 | 3 | 0 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 9.09% | 0 | 0.79 | 0 | 0 |
| 4 | Sven Baertschi | 7 | 2 | 3 | 5 | 2 | 6 | 10 | 22 | 14 | 14.29% | 12 | 160 | 22.92 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 51.19% | 0 | 0.62 | 0 | 0 |
| 5 | Matthew Phillips | 7 | 1 | 4 | 5 | 1 | 2 | 2 | 16 | 13 | 7.69% | 2 | 113 | 16.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 59.49% | 0 | 0.88 | 0 | 0 |
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Anders Nilsson | 7 | 3 | 4 | 0 | 0.887 | 3.17 | 417 | 0 | 0 | 22 | 195 | 0 | 1 | 0 | 0.000 | 0 |
| 2 | Jake Oettinger | 1 | 0 | 0 | 0 | 0.846 | 3.64 | 33 | 0 | 0 | 2 | 13 | 0 | 0 | 0 | 0.000 | 0 |
