| Milwaukee Admirals | |
| GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Sebastien Doyon | Morale : 1 | Moyenne d’équipe : 57 |
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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 | Reese Johnson | X | 100.00 | 76 | 71 | 86 | 69 | 71 | 70 | 62 | 65 | 50 | 64 | 63 | 63 | 55 | 44 | 44 | 60 | 41 | 60 | 0 | 22 | 1 | 700,000$ | ||||
| 2 | Peyton Krebs (R) | X | X | 100.00 | 68 | 66 | 72 | 76 | 66 | 53 | 50 | 65 | 80 | 64 | 60 | 59 | 55 | 44 | 44 | 63 | 48 | 59 | 0 | 20 | 3 | 863,333$ | |||
| 3 | Axel Jonsson Fjallby (R) | X | 100.00 | 74 | 68 | 89 | 65 | 68 | 67 | 70 | 57 | 50 | 47 | 62 | 62 | 59 | 44 | 44 | 62 | 16 | 57 | 0 | 23 | 1 | 860,000$ | ||||
| 4 | Nikita Scherbak | X | X | 100.00 | 77 | 72 | 87 | 60 | 72 | 57 | 57 | 60 | 50 | 59 | 57 | 65 | 54 | 44 | 44 | 61 | 45 | 57 | 0 | 25 | 1 | 700,000$ | |||
| 5 | Jamieson Rees (R) | X | 100.00 | 61 | 63 | 57 | 64 | 63 | 59 | 60 | 59 | 74 | 50 | 63 | 56 | 60 | 44 | 44 | 59 | 49 | 55 | 0 | 20 | 3 | 910,833$ | ||||
| 6 | Evan Weinger | X | 100.00 | 72 | 70 | 75 | 66 | 70 | 57 | 59 | 52 | 50 | 47 | 53 | 60 | 50 | 44 | 44 | 56 | 43 | 54 | 0 | 24 | 1 | 700,000$ | ||||
| 7 | Tanner MacMaster | X | 100.00 | 69 | 68 | 70 | 65 | 68 | 58 | 62 | 47 | 59 | 41 | 47 | 57 | 45 | 44 | 44 | 52 | 50 | 52 | 0 | 25 | 1 | 700,000$ | ||||
| 8 | Drake Rymsha | X | 100.00 | 77 | 68 | 99 | 53 | 68 | 45 | 46 | 44 | 55 | 38 | 44 | 61 | 42 | 44 | 44 | 50 | 28 | 49 | 0 | 22 | 1 | 733,333$ | ||||
| 9 | Nils Lundkvist (R) | X | 100.00 | 75 | 46 | 88 | 78 | 70 | 70 | 79 | 62 | 25 | 50 | 40 | 70 | 25 | 49 | 49 | 61 | 50 | 63 | 0 | 20 | 3 | 925,000$ | ||||
| 10 | Bowen Byram (R) | X | 100.00 | 75 | 44 | 85 | 72 | 75 | 70 | 75 | 69 | 50 | 64 | 63 | 61 | 25 | 44 | 44 | 70 | 50 | 62 | 0 | 20 | 2 | 894,167$ | ||||
| 11 | Dakota Mermis | X | 100.00 | 81 | 42 | 83 | 67 | 71 | 73 | 55 | 62 | 24 | 48 | 48 | 71 | 79 | 55 | 55 | 60 | 22 | 61 | 0 | 27 | 1 | 750,000$ | ||||
| 12 | Calen Addison (R) | X | 100.00 | 70 | 66 | 80 | 72 | 66 | 68 | 71 | 59 | 25 | 52 | 52 | 61 | 49 | 44 | 44 | 60 | 40 | 59 | 0 | 21 | 2 | 795,000$ | ||||
| 13 | Tarmo Reunanen (R) | X | 100.00 | 71 | 68 | 77 | 68 | 68 | 61 | 62 | 61 | 25 | 55 | 52 | 62 | 49 | 44 | 44 | 60 | 37 | 58 | 0 | 23 | 1 | 925,000$ | ||||
| 14 | Logan Day | X | 100.00 | 78 | 75 | 84 | 68 | 75 | 58 | 60 | 54 | 25 | 54 | 40 | 64 | 38 | 44 | 44 | 55 | 21 | 58 | 0 | 26 | 1 | 750,000$ | ||||
| 15 | Connor Mackey (R) | X | 100.00 | 75 | 72 | 83 | 60 | 72 | 59 | 61 | 55 | 25 | 52 | 43 | 62 | 41 | 44 | 44 | 55 | 59 | 57 | 0 | 24 | 1 | 925,000$ | ||||
| 16 | Nate Prosser | X | 100.00 | 72 | 72 | 73 | 60 | 75 | 60 | 56 | 46 | 24 | 35 | 37 | 64 | 25 | 66 | 68 | 61 | 25 | 56 | 0 | 35 | 1 | 770,000$ | ||||
| 17 | Hubert Labrie | X | 100.00 | 69 | 69 | 69 | 67 | 69 | 60 | 64 | 45 | 25 | 35 | 39 | 58 | 37 | 49 | 49 | 50 | 48 | 55 | 0 | 29 | 1 | 700,000$ | ||||
| 18 | Thomas Hickey | X | 100.00 | 68 | 65 | 76 | 55 | 68 | 48 | 39 | 48 | 24 | 38 | 37 | 63 | 75 | 68 | 70 | 55 | 33 | 54 | 0 | 32 | 1 | 2,500,000$ | ||||
| 19 | Jordan Gross | X | 100.00 | 77 | 68 | 99 | 66 | 68 | 53 | 56 | 41 | 25 | 28 | 39 | 60 | 37 | 44 | 44 | 49 | 49 | 53 | 0 | 26 | 1 | 700,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | Chris Bigras | X | 100.00 | 76 | 71 | 88 | 63 | 71 | 55 | 56 | 53 | 25 | 46 | 42 | 66 | 40 | 57 | 57 | 54 | 48 | 58 | 0 | 26 | 1 | 750,000$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 73 | 65 | 81 | 66 | 70 | 60 | 60 | 55 | 40 | 48 | 49 | 62 | 47 | 48 | 48 | 58 | 40 | 57 | ||||||||||
| 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 | Anton Forsberg | 100.00 | 63 | 55 | 69 | 71 | 66 | 63 | 65 | 71 | 66 | 65 | 30 | 49 | 49 | 64 | 41 | 62 | 0 | 28 | 1 | 900,000$ | |
| 2 | Mat Robson (R) | 100.00 | 52 | 58 | 73 | 78 | 51 | 55 | 50 | 57 | 53 | 52 | 30 | 44 | 44 | 53 | 46 | 55 | 0 | 25 | 1 | 750,000$ | |
| Rayé | |||||||||||||||||||||||
| 1 | Felix Sandstrom (R) | 100.00 | 52 | 53 | 66 | 75 | 53 | 53 | 50 | 57 | 52 | 52 | 30 | 44 | 44 | 53 | 20 | 54 | 0 | 24 | 1 | 750,000$ | |
| 2 | Tommy Nappier (R) | 100.00 | 44 | 51 | 64 | 81 | 40 | 43 | 50 | 52 | 44 | 45 | 30 | 44 | 44 | 46 | 20 | 49 | 0 | 23 | 1 | 700,000$ | |
| MOYENNE D’ÉQUIPE | 100.00 | 53 | 54 | 68 | 76 | 53 | 54 | 54 | 59 | 54 | 54 | 30 | 45 | 45 | 54 | 32 | 55 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jay Woodcroft | 65 | 66 | 69 | 70 | 68 | 64 | 81 | CAN | 44 | 3 | 60,000$ |
| 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 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Anton Forsberg | Milwaukee Admirals (WIN) | G | 28 | 1992-11-26 | No | 176 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 900,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Axel Jonsson Fjallby | Milwaukee Admirals (WIN) | LW | 23 | 1998-02-10 | Yes | 185 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 860,000$ | 0$ | 0$ | No | Lien | |||||||||
| Bowen Byram | Milwaukee Admirals (WIN) | D | 20 | 2001-06-12 | Yes | 190 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 894,167$ | 0$ | 0$ | No | 894,167$ | Lien / Lien NHL | ||||||||
| Calen Addison | Milwaukee Admirals (WIN) | D | 21 | 2000-04-10 | Yes | 180 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 795,000$ | 0$ | 0$ | No | 795,000$ | Lien NHL | ||||||||
| Chris Bigras | Milwaukee Admirals (WIN) | D | 26 | 1995-02-21 | No | 191 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Connor Mackey | Milwaukee Admirals (WIN) | D | 24 | 1996-09-12 | Yes | 190 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Dakota Mermis | Milwaukee Admirals (WIN) | D | 27 | 1994-01-05 | No | 196 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Drake Rymsha | Milwaukee Admirals (WIN) | C | 22 | 1998-08-06 | No | 187 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 733,333$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Evan Weinger | Milwaukee Admirals (WIN) | RW | 24 | 1997-04-18 | No | 194 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Felix Sandstrom | Milwaukee Admirals (WIN) | G | 24 | 1997-01-12 | Yes | 191 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Lien NHL | |||||||||
| Hubert Labrie | Milwaukee Admirals (WIN) | D | 29 | 1991-07-12 | No | 190 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Jamieson Rees | Milwaukee Admirals (WIN) | C | 20 | 2001-02-26 | Yes | 172 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 910,833$ | 0$ | 0$ | No | 910,833$ | 910,833$ | Lien NHL | |||||||
| Jordan Gross | Milwaukee Admirals (WIN) | D | 26 | 1995-05-09 | No | 190 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Logan Day | Milwaukee Admirals (WIN) | D | 26 | 1994-09-19 | No | 209 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Mat Robson | Milwaukee Admirals (WIN) | G | 25 | 1996-03-26 | Yes | 190 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Nate Prosser | Milwaukee Admirals (WIN) | D | 35 | 1986-05-07 | No | 201 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 770,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Nikita Scherbak | Milwaukee Admirals (WIN) | LW/RW | 25 | 1995-12-30 | No | 192 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Nils Lundkvist | Milwaukee Admirals (WIN) | D | 20 | 2000-07-27 10:33:12 | Yes | 187 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||
| Peyton Krebs | Milwaukee Admirals (WIN) | C/LW | 20 | 2001-01-26 | Yes | 180 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 863,333$ | 0$ | 0$ | No | 863,333$ | 863,333$ | ||||||||
| Reese Johnson | Milwaukee Admirals (WIN) | RW | 22 | 1998-07-10 | No | 193 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Tanner MacMaster | Milwaukee Admirals (WIN) | C | 25 | 1996-01-08 | No | 185 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Tarmo Reunanen | Milwaukee Admirals (WIN) | D | 23 | 1998-03-01 | Yes | 185 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No | Lien NHL | |||||||||
| Thomas Hickey | Milwaukee Admirals (WIN) | D | 32 | 1989-02-08 | No | 188 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 2,500,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Tommy Nappier | Milwaukee Admirals (WIN) | G | 23 | 1998-06-22 | Yes | 214 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 24 | 24.58 | 190 Lbs | 6 ft1 | 1.33 | 860,486$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Nikita Scherbak | Peyton Krebs | Reese Johnson | 40 | 1 | 2 | 2 |
| 2 | Axel Jonsson Fjallby | Jamieson Rees | Evan Weinger | 30 | 1 | 2 | 2 |
| 3 | Reese Johnson | Tanner MacMaster | Peyton Krebs | 20 | 1 | 2 | 2 |
| 4 | Nikita Scherbak | Drake Rymsha | Axel Jonsson Fjallby | 10 | 1 | 2 | 2 |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Nils Lundkvist | Bowen Byram | 40 | 1 | 2 | 2 | |
| 2 | Dakota Mermis | Calen Addison | 30 | 1 | 2 | 2 | |
| 3 | Logan Day | Tarmo Reunanen | 20 | 1 | 2 | 2 | |
| 4 | Connor Mackey | Nate Prosser | 10 | 1 | 2 | 2 | |
| Attaque en svantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Nikita Scherbak | Peyton Krebs | Reese Johnson | 60 | 1 | 2 | 2 |
| 2 | Axel Jonsson Fjallby | Jamieson Rees | Evan Weinger | 40 | 1 | 2 | 2 |
| Défense en svantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Nils Lundkvist | Bowen Byram | 60 | 1 | 2 | 2 | |
| 2 | Dakota Mermis | Calen Addison | 40 | 1 | 2 | 2 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Reese Johnson | Peyton Krebs | 60 | 1 | 2 | 2 |
| 2 | Nikita Scherbak | Axel Jonsson Fjallby | 40 | 1 | 2 | 2 |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Nils Lundkvist | Bowen Byram | 60 | 1 | 2 | 2 |
| 2 | Dakota Mermis | Calen Addison | 40 | 1 | 2 | 2 |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Reese Johnson | 60 | 1 | 2 | 2 | Nils Lundkvist | Bowen Byram | 60 | 1 | 2 | 2 |
| 2 | Peyton Krebs | 40 | 1 | 2 | 2 | Dakota Mermis | Calen Addison | 40 | 1 | 2 | 2 |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Reese Johnson | Peyton Krebs | 60 | 1 | 2 | 2 |
| 2 | Nikita Scherbak | Axel Jonsson Fjallby | 40 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Nils Lundkvist | Bowen Byram | 60 | 1 | 2 | 2 |
| 2 | Dakota Mermis | Calen Addison | 40 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Nikita Scherbak | Peyton Krebs | Reese Johnson | Nils Lundkvist | Bowen Byram |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Nikita Scherbak | Peyton Krebs | Reese Johnson | Nils Lundkvist | Bowen Byram |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Tanner MacMaster, Drake Rymsha, Jamieson Rees | Tanner MacMaster, Drake Rymsha | Jamieson Rees |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Hubert Labrie, Jordan Gross, Thomas Hickey | Hubert Labrie | Jordan Gross, Thomas Hickey |
| Tirs de pénalité |
|---|
| Reese Johnson, Peyton Krebs, Nikita Scherbak, Axel Jonsson Fjallby, Jamieson Rees |
| Gardien |
|---|
| #1 : Anton Forsberg, #2 : Mat Robson |
| 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 | 24 | 10 |
| 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 |
| 39 | 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$ | 2,065,166$ | 2,065,166$ | 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 | Frederick Gaudreau | 288 | 200 | 256 | 456 | -64 | 104 | 448 | 652 | 1260 | 15.87% | 216 | 6006 | 20.86 | 44 | 84 | 128 | 124 | 4 | 0 | 4 | 16 | 8 | 12 | 57.17% | 12 | 1.52 | 8 | 20 |
| 2 | Troy Terry | 240 | 172 | 252 | 424 | -92 | 56 | 312 | 500 | 928 | 18.53% | 188 | 5842 | 24.34 | 52 | 56 | 108 | 116 | 0 | 0 | 0 | 16 | 16 | 4 | 38.02% | 4 | 1.45 | 4 | 20 |
| 3 | Evan Weinger | 397 | 176 | 202 | 378 | -149 | 224 | 513 | 629 | 1321 | 13.32% | 242 | 7452 | 18.77 | 22 | 35 | 57 | 97 | 0 | 0 | 0 | 9 | 15 | 6 | 45.14% | 0 | 1.01 | 8 | 8 |
| 4 | Brett Ritchie | 252 | 132 | 232 | 364 | -120 | 484 | 464 | 376 | 772 | 17.10% | 224 | 5238 | 20.79 | 16 | 76 | 92 | 76 | 0 | 4 | 4 | 12 | 24 | 8 | 34.69% | 0 | 1.39 | 4 | 20 |
| 5 | Axel Jonsson-Fjallby | 328 | 140 | 160 | 300 | -108 | 188 | 452 | 424 | 784 | 17.86% | 200 | 5881 | 17.93 | 28 | 36 | 64 | 76 | 4 | 4 | 8 | 8 | 0 | 4 | 37.50% | 12 | 1.02 | 0 | 4 |
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Anton Forsberg | 257 | 110 | 93 | 27 | 0.871 | 4.62 | 14107 | 18 | 0 | 1085 | 8379 | 4553 | 14 | 2 | 0.711 | 76 |
| 2 | Mat Robson | 108 | 24 | 56 | 0 | 0.858 | 5.29 | 4676 | 8 | 0 | 412 | 2896 | 1624 | 4 | 4 | 0.000 | 0 |
| 3 | Mat Robson | 33 | 11 | 17 | 2 | 0.871 | 4.93 | 1778 | 2 | 0 | 146 | 1133 | 674 | 1 | 1 | 0.800 | 5 |
| 4 | Felix Sandstrom | 15 | 3 | 9 | 1 | 0.857 | 5.39 | 813 | 2 | 0 | 73 | 510 | 296 | 1 | 0 | 0.000 | 0 |
| 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 | 82 | 20 | 45 | 0 | 5 | 7 | 3 | 2 | 303 | 402 | -99 | 41 | 8 | 22 | 0 | 3 | 3 | 3 | 2 | 150 | 208 | -58 | 41 | 12 | 23 | 0 | 2 | 4 | 0 | 0 | 153 | 194 | -41 | 40 | 303 | 469 | 772 | 2 | 1 | 74 | 116 | 105 | 11 | 2243 | 610 | 823 | 775 | 52 | 2929 | 987 | 2248 | 1393 | 219 | 83 | 37.90% | 211 | 79 | 62.56% | 6 | 788 | 1527 | 51.60% | 867 | 1740 | 49.83% | 744 | 1417 | 52.51% | 1504 | 677 | 1723 | 806 | 1737 | 910 |
| 2017 | 82 | 20 | 48 | 0 | 5 | 2 | 4 | 3 | 286 | 391 | -105 | 41 | 12 | 24 | 0 | 1 | 1 | 3 | 0 | 159 | 182 | -23 | 41 | 8 | 24 | 0 | 4 | 1 | 1 | 3 | 127 | 209 | -82 | 40 | 286 | 467 | 753 | 3 | 0 | 79 | 92 | 106 | 15 | 2281 | 664 | 757 | 832 | 55 | 2864 | 923 | 1199 | 1340 | 195 | 86 | 44.10% | 219 | 72 | 67.12% | 6 | 726 | 1467 | 49.49% | 773 | 1593 | 48.52% | 679 | 1324 | 51.28% | 1469 | 672 | 1773 | 821 | 1726 | 879 |
| 2018 | 82 | 17 | 55 | 0 | 2 | 4 | 1 | 3 | 281 | 471 | -190 | 41 | 12 | 24 | 0 | 1 | 2 | 0 | 2 | 171 | 228 | -57 | 41 | 5 | 31 | 0 | 1 | 2 | 1 | 1 | 110 | 243 | -133 | 34 | 281 | 462 | 743 | 1 | 2 | 62 | 106 | 110 | 5 | 2067 | 518 | 741 | 790 | 31 | 3010 | 959 | 971 | 1424 | 219 | 86 | 39.27% | 169 | 69 | 59.17% | 5 | 714 | 1333 | 53.56% | 752 | 1480 | 50.81% | 753 | 1389 | 54.21% | 1489 | 650 | 1705 | 776 | 1750 | 945 |
| 2019 | 82 | 31 | 32 | 0 | 5 | 6 | 2 | 6 | 371 | 364 | 7 | 41 | 19 | 13 | 0 | 3 | 3 | 2 | 1 | 183 | 163 | 20 | 41 | 12 | 19 | 0 | 2 | 3 | 0 | 5 | 188 | 201 | -13 | 62 | 371 | 612 | 983 | 0 | 1 | 85 | 144 | 135 | 14 | 2894 | 848 | 994 | 1023 | 59 | 2997 | 987 | 1020 | 1575 | 227 | 95 | 41.85% | 162 | 51 | 68.52% | 7 | 775 | 1675 | 46.27% | 755 | 1687 | 44.75% | 641 | 1433 | 44.73% | 1629 | 861 | 1738 | 781 | 1617 | 816 |
| 2020 | 82 | 26 | 41 | 0 | 5 | 4 | 3 | 3 | 371 | 433 | -62 | 41 | 14 | 20 | 0 | 2 | 2 | 2 | 1 | 186 | 200 | -14 | 41 | 12 | 21 | 0 | 3 | 2 | 1 | 2 | 185 | 233 | -48 | 75 | 371 | 602 | 973 | 1 | 0 | 87 | 124 | 152 | 13 | 2534 | 699 | 874 | 941 | 43 | 3005 | 1002 | 1265 | 1650 | 214 | 84 | 39.25% | 220 | 83 | 62.27% | 6 | 657 | 1471 | 44.66% | 808 | 1754 | 46.07% | 622 | 1488 | 41.80% | 1518 | 736 | 1775 | 813 | 1667 | 837 |
| 2020 | 82 | 26 | 41 | 0 | 5 | 4 | 3 | 3 | 371 | 433 | -62 | 41 | 14 | 20 | 0 | 2 | 2 | 2 | 1 | 186 | 200 | -14 | 41 | 12 | 21 | 0 | 3 | 2 | 1 | 2 | 185 | 233 | -48 | 75 | 371 | 602 | 973 | 1 | 0 | 87 | 124 | 152 | 13 | 2534 | 699 | 874 | 941 | 43 | 3005 | 1002 | 1265 | 1650 | 214 | 84 | 39.25% | 220 | 83 | 62.27% | 6 | 657 | 1471 | 44.66% | 808 | 1754 | 46.07% | 622 | 1488 | 41.80% | 1518 | 736 | 1775 | 813 | 1667 | 837 |
| 2021 | 78 | 24 | 43 | 0 | 1 | 5 | 3 | 2 | 276 | 370 | -94 | 39 | 13 | 20 | 0 | 1 | 2 | 3 | 0 | 148 | 182 | -34 | 39 | 11 | 23 | 0 | 0 | 3 | 0 | 2 | 128 | 188 | -60 | 63 | 276 | 466 | 742 | 3 | 0 | 61 | 107 | 104 | 5 | 2382 | 623 | 878 | 852 | 43 | 2916 | 957 | 1072 | 1362 | 210 | 88 | 41.90% | 202 | 72 | 64.36% | 6 | 627 | 1443 | 43.45% | 752 | 1661 | 45.27% | 608 | 1348 | 45.10% | 1425 | 675 | 1693 | 767 | 1593 | 816 |
| Total Saison régulière | 570 | 164 | 305 | 0 | 28 | 32 | 19 | 22 | 2259 | 2864 | -605 | 285 | 92 | 143 | 0 | 13 | 15 | 15 | 7 | 1183 | 1363 | -180 | 285 | 72 | 162 | 0 | 15 | 17 | 4 | 15 | 1076 | 1501 | -425 | 389 | 2259 | 3680 | 5939 | 11 | 4 | 535 | 813 | 864 | 76 | 16935 | 4661 | 5941 | 6154 | 326 | 20726 | 6817 | 9040 | 10394 | 1498 | 606 | 40.45% | 1403 | 509 | 63.72% | 42 | 4944 | 10387 | 47.60% | 5515 | 11669 | 47.26% | 4669 | 9887 | 47.22% | 10556 | 5011 | 12185 | 5581 | 11761 | 6043 |
| # | 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 |
|---|
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
