| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Janne Kuokkanen | X | X | X | 100.00 | 75 | 69 | 89 | 76 | 69 | 74 | 77 | 65 | 80 | 65 | 61 | 66 | 58 | 50 | 50 | 66 | 48 | 63 | 0 | ||
| 2 | Troy Terry (R) | X | X | 100.00 | 57 | 40 | 97 | 77 | 65 | 67 | 74 | 73 | 31 | 69 | 62 | 55 | 63 | 46 | 46 | 67 | 49 | 62 | 0 | |||
| 3 | Alexander Volkov | X | X | 100.00 | 73 | 71 | 77 | 64 | 71 | 85 | 91 | 62 | 50 | 57 | 60 | 66 | 57 | 55 | 55 | 64 | 72 | 62 | 0 | |||
| 4 | Jordan Szwarz | X | X | X | 100.00 | 73 | 72 | 76 | 68 | 72 | 78 | 82 | 63 | 79 | 57 | 63 | 65 | 60 | 50 | 50 | 65 | 65 | 62 | 0 | ||
| 5 | Matt Luff (R) | X | 100.00 | 65 | 62 | 91 | 64 | 72 | 59 | 84 | 60 | 31 | 59 | 75 | 55 | 25 | 47 | 47 | 67 | 63 | 60 | 0 | ||||
| 6 | Frederick Gaudreau | X | 100.00 | 65 | 41 | 98 | 74 | 65 | 53 | 82 | 61 | 68 | 52 | 57 | 59 | 25 | 58 | 58 | 60 | 61 | 59 | 0 | ||||
| 7 | William Carrier | X | 100.00 | 84 | 78 | 99 | 76 | 78 | 59 | 63 | 45 | 50 | 47 | 50 | 68 | 42 | 56 | 57 | 54 | 58 | 57 | 0 | ||||
| 8 | Axel Jonsson-Fjallby (R) | X | 100.00 | 77 | 68 | 99 | 67 | 68 | 51 | 52 | 49 | 50 | 42 | 51 | 62 | 48 | 44 | 44 | 56 | 39 | 53 | 0 | ||||
| 9 | Drake Rymsha (R) | X | 100.00 | 67 | 68 | 63 | 66 | 68 | 60 | 64 | 48 | 60 | 46 | 45 | 57 | 43 | 44 | 44 | 51 | 73 | 52 | 0 | ||||
| 10 | Richard Clune | X | X | 100.00 | 72 | 72 | 72 | 65 | 72 | 51 | 53 | 45 | 50 | 38 | 46 | 58 | 44 | 44 | 44 | 51 | 30 | 50 | 0 | |||
| 11 | Brennan Menell | X | 100.00 | 73 | 66 | 90 | 64 | 66 | 80 | 87 | 57 | 25 | 58 | 40 | 64 | 38 | 54 | 54 | 58 | 63 | 61 | 0 | ||||
| 12 | Chris Bigras | X | 100.00 | 74 | 71 | 80 | 69 | 71 | 66 | 70 | 54 | 25 | 49 | 41 | 65 | 39 | 57 | 57 | 55 | 43 | 60 | 0 | ||||
| 13 | Logan Day (R) | X | 100.00 | 80 | 75 | 92 | 68 | 75 | 63 | 66 | 55 | 25 | 52 | 43 | 65 | 41 | 44 | 44 | 57 | 70 | 60 | 0 | ||||
| 14 | Sebastian AhoD | X | 100.00 | 68 | 62 | 83 | 69 | 62 | 75 | 80 | 58 | 25 | 55 | 46 | 60 | 44 | 44 | 44 | 58 | 65 | 59 | 0 | ||||
| 15 | Stefan Elliott (R) | X | 100.00 | 78 | 71 | 93 | 62 | 71 | 64 | 67 | 52 | 25 | 47 | 43 | 63 | 41 | 44 | 44 | 55 | 65 | 58 | 0 | ||||
| 16 | Jordan Gross (R) | X | 100.00 | 73 | 68 | 85 | 66 | 68 | 64 | 67 | 52 | 25 | 47 | 42 | 61 | 40 | 44 | 44 | 55 | 56 | 57 | 0 | ||||
| 17 | Hubert Labrie | X | 100.00 | 68 | 66 | 72 | 62 | 66 | 73 | 81 | 46 | 25 | 37 | 39 | 58 | 37 | 49 | 49 | 50 | 59 | 56 | 0 | ||||
| 18 | Bobby Sanguinetti (R) | X | 100.00 | 78 | 73 | 88 | 61 | 73 | 54 | 57 | 43 | 25 | 31 | 40 | 61 | 38 | 44 | 44 | 50 | 18 | 54 | 0 | ||||
| Rayé | ||||||||||||||||||||||||||
| 1 | Tanner MacMaster | X | 100.00 | 73 | 68 | 84 | 65 | 68 | 66 | 70 | 51 | 64 | 52 | 46 | 60 | 44 | 44 | 44 | 55 | 20 | 54 | 0 | ||||
| 2 | Tyler Wong | X | 100.00 | 69 | 61 | 88 | 62 | 61 | 73 | 80 | 49 | 50 | 46 | 46 | 58 | 44 | 44 | 44 | 54 | 20 | 53 | 0 | ||||
| 3 | Joonas Lyytinen | X | 100.00 | 68 | 58 | 90 | 63 | 58 | 52 | 54 | 46 | 25 | 37 | 39 | 57 | 37 | 46 | 46 | 49 | 20 | 52 | 0 | ||||
| MOYENNE D'ÉQUIPE | 100.00 | 72 | 66 | 86 | 67 | 69 | 65 | 71 | 54 | 42 | 50 | 49 | 61 | 43 | 48 | 48 | 57 | 50 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Anton Forsberg | 100.00 | 63 | 63 | 79 | 78 | 65 | 65 | 55 | 65 | 61 | 60 | 30 | 48 | 48 | 62 | 63 | 62 | 0 | |
| Rayé | ||||||||||||||||||||
| 1 | Eamon McAdam | 100.00 | 51 | 58 | 73 | 80 | 49 | 53 | 52 | 57 | 52 | 52 | 30 | 44 | 44 | 53 | 20 | 54 | 0 | |
| MOYENNE D'ÉQUIPE | 100.00 | 57 | 61 | 76 | 79 | 57 | 59 | 54 | 61 | 57 | 56 | 30 | 46 | 46 | 58 | 42 | 58 | |||
| Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dan Muse | 45 | 72 | 55 | 58 | 45 | 46 | 54 | USA | 37 | 1 | 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 | Cap Salariale | Cap Salariale Restant | Exclus du Cap Salarial | Salaire Année 2 | Salaire Année 3 | Salaire Année 4 | Salaire Année 5 | Salaire Année 6 | Salaire Année 7 | Salaire Année 8 | Salaire Année 9 | Salaire Année 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alexander Volkov | Milwaukee Admirals (WIN) | LW/RW | 20 | 1997-08-02 | No | 191 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien | ||||||||
| Anton Forsberg | Milwaukee Admirals (WIN) | G | 25 | 1992-11-26 | No | 192 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | Lien | |||||||||
| Axel Jonsson-Fjallby | Milwaukee Admirals (WIN) | LW | 20 | 1998-02-10 | Yes | 185 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 860,000$ | 0$ | 0$ | No | 860,000$ | 860,000$ | Lien | |||||||
| Bobby Sanguinetti | Milwaukee Admirals (WIN) | D | 30 | 1988-02-29 | Yes | 190 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 2,900,000$ | 0$ | 0$ | No | Lien | |||||||||
| Brennan Menell | Milwaukee Admirals (WIN) | D | 21 | 1997-05-24 | No | 183 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 793,000$ | 0$ | 0$ | No | 793,000$ | Lien | ||||||||
| Chris Bigras | Milwaukee Admirals (WIN) | D | 23 | 1995-02-22 | No | 190 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 700,000$ | 0$ | 0$ | No | 700,000$ | Lien | ||||||||
| Drake Rymsha | Milwaukee Admirals (WIN) | C | 19 | 1998-08-05 | Yes | 187 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 733,333$ | 0$ | 0$ | No | 733,333$ | 733,333$ | Lien | |||||||
| Eamon McAdam | Milwaukee Admirals (WIN) | G | 23 | 1994-09-23 | No | 199 Lbs | 6 ft3 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien | ||||||||||
| Frederick Gaudreau | Milwaukee Admirals (WIN) | C | 25 | 1993-05-01 | No | 179 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 666,667$ | 0$ | 0$ | No | Lien | |||||||||
| Hubert Labrie | Milwaukee Admirals (WIN) | D | 26 | 1991-07-12 | No | 180 Lbs | 5 ft11 | Yes | No | No | 1 | Pro & Farm | 500,000$ | 0$ | 0$ | No | Lien | |||||||||
| Janne Kuokkanen | Milwaukee Admirals (WIN) | C/LW/RW | 20 | 1998-05-25 | No | 188 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien | ||||||||
| Joonas Lyytinen | Milwaukee Admirals (WIN) | D | 23 | 1995-04-04 | No | 154 Lbs | 6 ft0 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien | ||||||||||
| Jordan Gross | Milwaukee Admirals (WIN) | D | 23 | 1995-05-09 | Yes | 190 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien | ||||||||
| Jordan Szwarz | Milwaukee Admirals (WIN) | C/LW/RW | 27 | 1991-05-13 | No | 200 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 800,000$ | 0$ | 0$ | No | Lien | |||||||||
| Logan Day | Milwaukee Admirals (WIN) | D | 23 | 1994-09-19 | Yes | 209 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 575,000$ | 0$ | 0$ | No | Lien | |||||||||
| Matt Luff | Milwaukee Admirals (WIN) | RW | 21 | 1997-05-04 | Yes | 188 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 676,666$ | 0$ | 0$ | No | 676,666$ | Lien | ||||||||
| Richard Clune | Milwaukee Admirals (WIN) | LW/RW | 31 | 1987-04-25 | No | 207 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 2,900,000$ | 0$ | 0$ | No | Lien | |||||||||
| Sebastian AhoD | Milwaukee Admirals (WIN) | D | 22 | 1996-02-17 | No | 170 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien | ||||||||
| Stefan Elliott | Milwaukee Admirals (WIN) | D | 27 | 1991-01-29 | Yes | 190 Lbs | 6 ft1 | Yes | No | No | 1 | Pro & Farm | 500,000$ | 0$ | 0$ | No | Lien | |||||||||
| Tanner MacMaster | Milwaukee Admirals (WIN) | C | 22 | 1996-01-08 | No | 185 Lbs | 6 ft0 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien | ||||||||||
| Troy Terry | Milwaukee Admirals (WIN) | C/RW | 20 | 1997-09-10 | Yes | 174 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien | ||||||||
| Tyler Wong | Milwaukee Admirals (WIN) | LW | 22 | 1996-02-28 | No | 172 Lbs | 5 ft9 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien | ||||||||||
| William Carrier | Milwaukee Admirals (WIN) | LW | 23 | 1994-12-20 | No | 212 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 725,000$ | 0$ | 0$ | No | Lien |
| Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
|---|---|---|---|---|---|
| 23 | 23.30 | 188 Lbs | 6 ft0 | 1.35 | 814,333$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
| 1 | Alexander Volkov | 40 | 1 | 2 | 2 | ||
| 2 | William Carrier | Troy Terry | Matt Luff | 30 | 1 | 2 | 2 |
| 3 | Axel Jonsson-Fjallby | Frederick Gaudreau | Richard Clune | 20 | 1 | 2 | 2 |
| 4 | Drake Rymsha | 10 | 1 | 2 | 2 | ||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
| 1 | Brennan Menell | Chris Bigras | 40 | 1 | 2 | 2 | |
| 2 | Logan Day | Sebastian AhoD | 30 | 1 | 2 | 2 | |
| 3 | Stefan Elliott | Jordan Gross | 20 | 1 | 2 | 2 | |
| 4 | Hubert Labrie | Brennan Menell | 10 | 1 | 2 | 2 | |
| Attaque en Avantage Numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
| 1 | Alexander Volkov | 60 | 1 | 2 | 2 | ||
| 2 | William Carrier | Troy Terry | Matt Luff | 40 | 1 | 2 | 2 |
| Défense en Avantage Numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
| 1 | Brennan Menell | Chris Bigras | 60 | 1 | 2 | 2 | |
| 2 | Logan Day | Sebastian AhoD | 40 | 1 | 2 | 2 | |
| Attaque à 4 en Désavantage Numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | Alexander Volkov | Troy Terry | 40 | 1 | 2 | 2 |
| Défense à 4 en Désavantage Numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
| 1 | Brennan Menell | Chris Bigras | 60 | 1 | 2 | 2 |
| 2 | Logan Day | Sebastian AhoD | 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 | Brennan Menell | Chris Bigras | 60 | 1 | 2 | 2 | |
| 2 | 40 | 1 | 2 | 2 | Logan Day | Sebastian AhoD | 40 | 1 | 2 | 2 | |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | Alexander Volkov | Troy Terry | 40 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
| 1 | Brennan Menell | Chris Bigras | 60 | 1 | 2 | 2 |
| 2 | Logan Day | Sebastian AhoD | 40 | 1 | 2 | 2 |
| Attaque Dernière Minute | ||||
|---|---|---|---|---|
| Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
| Alexander Volkov | Brennan Menell | Chris Bigras | ||
| Défense Dernière Minute | ||||
|---|---|---|---|---|
| Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
| Alexander Volkov | Brennan Menell | Chris Bigras | ||
| Attaquants Supplémentaires | ||
|---|---|---|
| Normal | Avantage Numérique | Désavantage Numérique |
| Frederick Gaudreau, Axel Jonsson-Fjallby, Drake Rymsha | Frederick Gaudreau, Axel Jonsson-Fjallby | Drake Rymsha |
| Défenseurs Supplémentaires | ||
|---|---|---|
| Normal | Avantage Numérique | Désavantage Numérique |
| Stefan Elliott, Jordan Gross, Hubert Labrie | Stefan Elliott | Jordan Gross, Hubert Labrie |
| Tirs de Pénalité |
|---|
| , , Alexander Volkov, Troy Terry, Matt Luff |
| Gardien |
|---|
| #1 : Anton Forsberg, #2 : |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Ligue | 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 Pénalité | Mises en Échec | Buts en Filet Désert | Blanchissage |
| 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 Éxtérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| 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 de l'Aréna | 2000 | 1000 |
| Prix des Billets | 24 | 10 |
| Assistance | 0.00% | 0.00% |
| Assistance PCT | 0.00% | 0.00% |
| Revenus | |||||
|---|---|---|---|---|---|
| Matchs à domicile Restants | Assistance Moyenne - % | Revenus Moyen par Match | Revenus Annuels à ce Jour | Capacité de l'Aréna | 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 Coachs |
| 0$ | 1,872,967$ | 1,872,967$ | 0$ |
| Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Éstimation | |||
|---|---|---|---|
| Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
| 0$ | 0 | 0$ | 0$ |
| Ligue | 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 |
| Total Saison Régulière | 328 | 88 | 180 | 0 | 17 | 19 | 10 | 14 | 1241 | 1628 | -387 | 164 | 51 | 83 | 0 | 8 | 9 | 8 | 5 | 663 | 781 | -118 | 164 | 37 | 97 | 0 | 9 | 10 | 2 | 9 | 578 | 847 | -269 | 176 | 1241 | 2010 | 3251 | 6 | 4 | 300 | 458 | 456 | 45 | 9485 | 2640 | 3315 | 3420 | 197 | 11800 | 3856 | 5438 | 5732 | 860 | 350 | 40.70% | 761 | 271 | 64.39% | 24 | 3003 | 6002 | 50.03% | 3147 | 6500 | 48.42% | 2817 | 5563 | 50.64% | 6093 | 2862 | 6940 | 3186 | 6831 | 3551 |