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| Stars | |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Julien Desrosiers | Morale : 50 | Moyenne d’équipe : 57 Prochains matchs #16 vs Chill |
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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 moyen |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Jujhar Khaira | X | X | 100.00 | 98 | 70 | 85 | 78 | 81 | 66 | 61 | 61 | 65 | 50 | 60 | 80 | 25 | 64 | 65 | 0 | 50 | 64 | 0 | 27 | 2 | 700,000$ | |||
| 2 | Sam Steel | X | X | 100.00 | 65 | 41 | 91 | 81 | 67 | 63 | 81 | 63 | 69 | 66 | 59 | 68 | 25 | 62 | 62 | 0 | 50 | 63 | 0 | 23 | 2 | 1,000,000$ | |||
| 3 | Jordan Martinook | X | X | X | 100.00 | 79 | 44 | 88 | 79 | 71 | 59 | 77 | 61 | 42 | 62 | 59 | 62 | 25 | 69 | 71 | 0 | 50 | 62 | 0 | 29 | 2 | 1,500,000$ | ||
| 4 | Tobias Rieder | X | X | X | 100.00 | 62 | 41 | 97 | 83 | 67 | 58 | 71 | 55 | 29 | 51 | 56 | 83 | 24 | 69 | 70 | 0 | 50 | 62 | 0 | 28 | 1 | 1,700,000$ | ||
| 5 | Nathan Smith | X | 100.00 | 91 | 46 | 93 | 70 | 71 | 67 | 41 | 74 | 74 | 65 | 72 | 63 | 25 | 44 | 44 | 0 | 50 | 62 | 0 | 22 | 3 | 650,000$ | ||||
| 6 | Alexander Holtz (R) | X | 100.00 | 67 | 42 | 92 | 78 | 70 | 62 | 62 | 70 | 25 | 67 | 55 | 69 | 25 | 44 | 44 | 0 | 50 | 61 | 0 | 19 | 2 | 925,000$ | ||||
| 7 | Alexander Volkov | X | 100.00 | 71 | 43 | 93 | 76 | 72 | 55 | 67 | 54 | 36 | 58 | 66 | 66 | 24 | 59 | 60 | 0 | 50 | 60 | 0 | 24 | 1 | 864,167$ | ||||
| 8 | Egor Afanasyev (R) | X | X | X | 100.00 | 78 | 76 | 82 | 70 | 76 | 58 | 58 | 58 | 73 | 55 | 56 | 65 | 53 | 44 | 44 | 0 | 50 | 58 | 0 | 20 | 4 | 789,167$ | ||
| 9 | Filip Cederqvist (R) | X | 100.00 | 53 | 50 | 99 | 65 | 77 | 68 | 89 | 51 | 62 | 46 | 47 | 48 | 49 | 58 | 58 | 0 | 50 | 54 | 0 | 21 | 4 | 850,000$ | ||||
| 10 | Liam Hawel (R) | X | 100.00 | 73 | 72 | 89 | 62 | 72 | 49 | 50 | 49 | 64 | 52 | 41 | 62 | 41 | 44 | 44 | 0 | 50 | 52 | 0 | 22 | 2 | 525,000$ | ||||
| 11 | Linus Karlsson (R) | X | 100.00 | 47 | 44 | 81 | 67 | 65 | 64 | 85 | 47 | 55 | 43 | 41 | 54 | 45 | 54 | 56 | 0 | 50 | 52 | 0 | 21 | 3 | 700,000$ | ||||
| 12 | Antonio Stranges (R) | X | X | 100.00 | 68 | 60 | 98 | 62 | 60 | 51 | 54 | 45 | 58 | 42 | 41 | 58 | 41 | 44 | 44 | 0 | 50 | 50 | 0 | 19 | 3 | 560,000$ | |||
| 13 | Alec Regula (R) | X | 100.00 | 79 | 45 | 77 | 70 | 78 | 75 | 64 | 67 | 25 | 39 | 49 | 78 | 25 | 45 | 45 | 0 | 50 | 64 | 0 | 21 | 3 | 866,667$ | ||||
| 14 | Thomas Harley (R) | X | 100.00 | 73 | 43 | 93 | 78 | 73 | 63 | 75 | 61 | 25 | 48 | 48 | 63 | 25 | 47 | 47 | 0 | 50 | 61 | 0 | 20 | 2 | 894,167$ | ||||
| 15 | Zachary Jones (R) | X | 100.00 | 61 | 40 | 99 | 70 | 62 | 66 | 63 | 61 | 25 | 52 | 47 | 73 | 75 | 46 | 46 | 0 | 50 | 60 | 0 | 20 | 2 | 925,000$ | ||||
| 16 | Louie Belpedio | X | 100.00 | 68 | 70 | 64 | 63 | 70 | 55 | 56 | 55 | 25 | 45 | 51 | 59 | 48 | 44 | 44 | 0 | 50 | 55 | 0 | 25 | 1 | 750,000$ | ||||
| 17 | Albert Johansson (R) | X | 100.00 | 43 | 36 | 99 | 68 | 61 | 67 | 92 | 46 | 25 | 45 | 38 | 44 | 40 | 54 | 54 | 0 | 50 | 53 | 0 | 20 | 4 | 820,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | Niklas Nordgren (R) | X | 100.00 | 47 | 43 | 80 | 64 | 63 | 36 | 39 | 37 | 49 | 35 | 32 | 43 | 35 | 50 | 50 | 0 | 50 | 43 | 0 | 21 | 3 | 700,000$ | ||||
| 2 | Joni Ikonen (R) | X | 100.00 | 40 | 37 | 97 | 63 | 62 | 29 | 28 | 33 | 49 | 26 | 34 | 39 | 38 | 54 | 54 | 0 | 50 | 40 | 0 | 22 | 2 | 825,000$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 66 | 50 | 89 | 71 | 69 | 58 | 64 | 55 | 46 | 50 | 50 | 62 | 36 | 52 | 53 | 0 | 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 | Âge | Contrat | Salaire moyen |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Spencer Knight (R) | 100.00 | 76 | 52 | 51 | 78 | 83 | 68 | 69 | 74 | 78 | 75 | 65 | 47 | 48 | 0 | 50 | 68 | 0 | 20 | 2 | 925,000$ | |
| 2 | Magnus Chrona (R) | 100.00 | 45 | 57 | 54 | 89 | 39 | 44 | 50 | 46 | 42 | 43 | 43 | 50 | 46 | 0 | 50 | 50 | 0 | 21 | 3 | 560,000$ | |
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 61 | 55 | 53 | 84 | 61 | 56 | 60 | 60 | 60 | 59 | 54 | 49 | 47 | 0 | 50 | 59 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Nouveau joueur | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Contrat | Type | Salaire actuel | Salaire 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Albert Johansson | Stars (Dal) | D | 20 | 2001-01-04 | Yes | 168 Lbs | 6 ft0 | No | No | No | 4 | Pro & Farm | 820,000$ | 820,000$ | 82,000$ | 82,000$ | No | 820,000$ | 820,000$ | 820,000$ | Lien | ||||||
| Alec Regula | Stars (Dal) | D | 21 | 2000-08-05 | Yes | 208 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 866,667$ | 866,667$ | 86,667$ | 86,667$ | No | 866,667$ | 866,667$ | Lien | |||||||
| Alexander Holtz | Stars (Dal) | RW | 19 | 2002-01-23 | Yes | 194 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 92,500$ | 92,500$ | No | 925,000$ | Lien | ||||||||
| Alexander Volkov | Stars (Dal) | RW | 24 | 1997-08-01 | No | 195 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 864,167$ | 864,167$ | 86,417$ | 86,417$ | No | Lien | |||||||||
| Antonio Stranges | Stars (Dal) | C/LW | 19 | 2002-02-05 | Yes | 168 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 560,000$ | 560,000$ | 56,000$ | 56,000$ | No | 560,000$ | 560,000$ | Lien | |||||||
| Egor Afanasyev | Stars (Dal) | C/LW/RW | 20 | 2001-01-23 | Yes | 203 Lbs | 6 ft3 | No | No | No | 4 | Pro & Farm | 789,167$ | 789,167$ | 78,917$ | 78,917$ | No | 789,167$ | 789,167$ | 789,167$ | Lien | ||||||
| Filip Cederqvist | Stars (Dal) | LW | 21 | 2000-08-23 | Yes | 207 Lbs | 6 ft4 | No | No | No | 4 | Pro & Farm | 850,000$ | 850,000$ | 85,000$ | 85,000$ | No | 850,000$ | 850,000$ | 850,000$ | Lien | ||||||
| Joni Ikonen | Stars (Dal) | C | 22 | 1999-04-14 | Yes | 172 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 825,000$ | 825,000$ | 82,500$ | 82,500$ | No | 825,000$ | Lien | ||||||||
| Jordan Martinook | Stars (Dal) | C/LW/RW | 29 | 1992-07-25 | No | 196 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 1,500,000$ | 1,500,000$ | 150,000$ | 150,000$ | No | 1,500,000$ | Lien | ||||||||
| Jujhar Khaira | Stars (Dal) | C/LW | 27 | 1994-08-13 | No | 212 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 70,000$ | 70,000$ | No | 700,000$ | Lien | ||||||||
| Liam Hawel | Stars (Dal) | C | 22 | 1999-04-18 | Yes | 183 Lbs | 6 ft5 | No | No | No | 2 | Pro & Farm | 525,000$ | 525,000$ | 52,500$ | 52,500$ | No | 525,000$ | Lien | ||||||||
| Linus Karlsson | Stars (Dal) | C | 21 | 1999-11-16 | Yes | 179 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 700,000$ | 700,000$ | 70,000$ | 70,000$ | No | 700,000$ | 700,000$ | Lien | |||||||
| Louie Belpedio | Stars (Dal) | D | 25 | 1996-05-14 | No | 197 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 75,000$ | 75,000$ | No | Lien | |||||||||
| Magnus Chrona | Stars (Dal) | G | 21 | 2000-08-28 | Yes | 216 Lbs | 6 ft6 | No | No | No | 3 | Pro & Farm | 560,000$ | 560,000$ | 56,000$ | 56,000$ | No | 560,000$ | 560,000$ | Lien | |||||||
| Nathan Smith | Stars (Dal) | C | 22 | 1998-10-18 | No | 190 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 650,000$ | 650,000$ | 65,000$ | 65,000$ | No | 650,000$ | 650,000$ | Lien | |||||||
| Niklas Nordgren | Stars (Dal) | RW | 21 | 2000-05-04 | Yes | 183 Lbs | 5 ft9 | No | No | No | 3 | Pro & Farm | 700,000$ | 700,000$ | 70,000$ | 70,000$ | No | 700,000$ | 700,000$ | Lien | |||||||
| Sam Steel | Stars (Dal) | C/LW | 23 | 1998-02-03 | No | 189 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 1,000,000$ | 1,000,000$ | 100,000$ | 100,000$ | No | 1,000,000$ | Lien | ||||||||
| Spencer Knight | Stars (Dal) | G | 20 | 2001-04-18 | Yes | 192 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 92,500$ | 92,500$ | No | 925,000$ | Lien | ||||||||
| Thomas Harley | Stars (Dal) | D | 20 | 2001-08-18 | Yes | 190 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 894,167$ | 894,167$ | 89,417$ | 89,417$ | No | 894,167$ | Lien | ||||||||
| Tobias Rieder | Stars (Dal) | C/LW/RW | 28 | 1993-01-09 | No | 186 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 1,700,000$ | 1,700,000$ | 170,000$ | 170,000$ | No | Lien | |||||||||
| Zachary Jones | Stars (Dal) | D | 20 | 2000-10-18 | Yes | 172 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 92,500$ | 92,500$ | No | 925,000$ | Lien |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 21 | 22.14 | 190 Lbs | 6 ft1 | 2.43 | 858,532$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | Liam Hawel | Alexander Volkov | 20 | 1 | 2 | 2 | |
| 4 | Liam Hawel | 10 | 1 | 2 | 2 | ||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Zachary Jones | 40 | 1 | 2 | 2 | ||
| 2 | Thomas Harley | 30 | 1 | 2 | 2 | ||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | Zachary Jones | 10 | 1 | 2 | 2 | ||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | |||
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Zachary Jones | 60 | 1 | 2 | 2 | ||
| 2 | Thomas Harley | 40 | 1 | 2 | 2 | ||
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Zachary Jones | 60 | 1 | 2 | 2 | |
| 2 | Thomas Harley | 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 | Zachary Jones | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | Thomas Harley | 40 | 1 | 2 | 2 | ||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Zachary Jones | 60 | 1 | 2 | 2 | |
| 2 | Thomas Harley | 40 | 1 | 2 | 2 | |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Zachary Jones | ||||
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Zachary Jones | ||||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Linus Karlsson, , Alexander Volkov | Linus Karlsson, | Alexander Volkov |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , Thomas Harley | , Thomas Harley | |
| Tirs de pénalité |
|---|
| , , , , |
| Gardien |
|---|
| #1 : , #2 : Magnus Chrona |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 7 - 2022-10-13 | 16 | Stars | - | Chill | - | |||||
| 9 - 2022-10-15 | 35 | Chill | - | Stars | - | |||||
| 11 - 2022-10-17 | 46 | Oceanics | - | Stars | - | |||||
| 14 - 2022-10-20 | 61 | Stars | - | Marlies | - | |||||
| 16 - 2022-10-22 | 79 | Stars | - | Rocket | - | |||||
| 18 - 2022-10-24 | 92 | Stars | - | Senators | - | |||||
| 19 - 2022-10-25 | 100 | Stars | - | Bruins | - | |||||
| 21 - 2022-10-27 | 117 | Bears | - | Stars | - | |||||
| 23 - 2022-10-29 | 127 | Wolf Pack | - | Stars | - | |||||
| 26 - 2022-11-01 | 153 | Monarchs | - | Stars | - | |||||
| 28 - 2022-11-03 | 172 | Stars | - | Jayhawks | - | |||||
| 30 - 2022-11-05 | 178 | Stars | - | Oil Kings | - | |||||
| 33 - 2022-11-08 | 204 | Stars | - | Oceanics | - | |||||
| 36 - 2022-11-11 | 223 | Sharks | - | Stars | - | |||||
| 38 - 2022-11-13 | 238 | Stars | - | Phantoms | - | |||||
| 40 - 2022-11-15 | 248 | Stars | - | Thunder | - | |||||
| 42 - 2022-11-17 | 262 | Stars | - | Cabaret Lady Mary Ann | - | |||||
| 44 - 2022-11-19 | 284 | Sound Tigers | - | Stars | - | |||||
| 46 - 2022-11-21 | 298 | Monsters | - | Stars | - | |||||
| 48 - 2022-11-23 | 313 | Baby Hawks | - | Stars | - | |||||
| 50 - 2022-11-25 | 330 | Oceanics | - | Stars | - | |||||
| 51 - 2022-11-26 | 339 | Stars | - | Monsters | - | |||||
| 53 - 2022-11-28 | 350 | Stars | - | Chiefs | - | |||||
| 56 - 2022-12-01 | 371 | Admirals | - | Stars | - | |||||
| 59 - 2022-12-04 | 393 | Minnesota | - | Stars | - | |||||
| 61 - 2022-12-06 | 409 | Marlies | - | Stars | - | |||||
| 63 - 2022-12-08 | 423 | Senators | - | Stars | - | |||||
| 65 - 2022-12-10 | 435 | Cougars | - | Stars | - | |||||
| 67 - 2022-12-12 | 449 | Stars | - | Manchots | - | |||||
| 68 - 2022-12-13 | 456 | Stars | - | Spiders | - | |||||
| 70 - 2022-12-15 | 471 | Stars | - | Bears | - | |||||
| 72 - 2022-12-17 | 487 | Stars | - | Caroline | - | |||||
| 74 - 2022-12-19 | 502 | Stars | - | Monsters | - | |||||
| 76 - 2022-12-21 | 522 | Oil Kings | - | Stars | - | |||||
| 78 - 2022-12-23 | 541 | Rocket | - | Stars | - | |||||
| 82 - 2022-12-27 | 551 | Stars | - | Chill | - | |||||
| 84 - 2022-12-29 | 569 | Stars | - | Minnesota | - | |||||
| 86 - 2022-12-31 | 586 | Sharks | - | Stars | - | |||||
| 89 - 2023-01-03 | 608 | Stars | - | Monarchs | - | |||||
| 90 - 2023-01-04 | 611 | Stars | - | Admirals | - | |||||
| 94 - 2023-01-08 | 637 | Cabaret Lady Mary Ann | - | Stars | - | |||||
| 96 - 2023-01-10 | 653 | Stars | - | Sound Tigers | - | |||||
| 98 - 2023-01-12 | 663 | Stars | - | Wolf Pack | - | |||||
| 100 - 2023-01-14 | 677 | Heat | - | Stars | - | |||||
| 102 - 2023-01-16 | 699 | Stars | - | Las Vegas | - | |||||
| 104 - 2023-01-18 | 716 | Stars | - | Sharks | - | |||||
| 105 - 2023-01-19 | 729 | Stars | - | Monarchs | - | |||||
| 107 - 2023-01-21 | 740 | Jayhawks | - | Stars | - | |||||
| 109 - 2023-01-23 | 753 | Crunch | - | Stars | - | |||||
| 111 - 2023-01-25 | 769 | Caroline | - | Stars | - | |||||
| 113 - 2023-01-27 | 785 | Spiders | - | Stars | - | |||||
| 123 - 2023-02-06 | 811 | Admirals | - | Stars | - | |||||
| 125 - 2023-02-08 | 820 | Minnesota | - | Stars | - | |||||
| 128 - 2023-02-11 | 837 | Thunder | - | Stars | - | |||||
| 131 - 2023-02-14 | 861 | Bruins | - | Stars | - | |||||
| 134 - 2023-02-17 | 880 | Stars | - | Minnesota | - | |||||
| 135 - 2023-02-18 | 887 | Monsters | - | Stars | - | |||||
| 139 - 2023-02-22 | 918 | Baby Hawks | - | Stars | - | |||||
| 142 - 2023-02-25 | 944 | Stars | - | Las Vegas | - | |||||
| 144 - 2023-02-27 | 955 | Comets | - | Stars | - | |||||
| 146 - 2023-03-01 | 970 | Jayhawks | - | Stars | - | |||||
| 147 - 2023-03-02 | 980 | Stars | - | Baby Hawks | - | |||||
| 149 - 2023-03-04 | 997 | Monsters | - | Stars | - | |||||
| 151 - 2023-03-06 | 1008 | Heat | - | Stars | - | |||||
| 154 - 2023-03-09 | 1025 | Stars | - | Crunch | - | |||||
| 156 - 2023-03-11 | 1049 | Stars | - | Seattle | - | |||||
| 158 - 2023-03-13 | 1063 | Stars | - | Seattle | - | |||||
| 159 - 2023-03-14 | 1073 | Stars | - | Comets | - | |||||
| 161 - 2023-03-16 | 1086 | Stars | - | Oil Kings | - | |||||
| 163 - 2023-03-18 | 1105 | Stars | - | Heat | - | |||||
| Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée! | ||||||||||
| 166 - 2023-03-21 | 1130 | Seattle | - | Stars | - | |||||
| 168 - 2023-03-23 | 1143 | Manchots | - | Stars | - | |||||
| 170 - 2023-03-25 | 1158 | Comets | - | Stars | - | |||||
| 173 - 2023-03-28 | 1182 | Stars | - | Baby Hawks | - | |||||
| 176 - 2023-03-31 | 1203 | Stars | - | Jayhawks | - | |||||
| 177 - 2023-04-01 | 1212 | Stars | - | Monsters | - | |||||
| 179 - 2023-04-03 | 1227 | Chill | - | Stars | - | |||||
| 182 - 2023-04-06 | 1252 | Phantoms | - | Stars | - | |||||
| 184 - 2023-04-08 | 1269 | Las Vegas | - | Stars | - | |||||
| 186 - 2023-04-10 | 1280 | Stars | - | Cougars | - | |||||
| 188 - 2023-04-12 | 1296 | Stars | - | Chiefs | - | |||||
| 189 - 2023-04-13 | 1307 | Chiefs | - | Stars | - | |||||
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| Prix des billets | 20 | 5 |
| Assistance | 0.00% | 0.00% |
| Assistance PCT | 0.00% | 0.00% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe | 41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
| 0$ | 1,802,918$ | 1,802,918$ | 0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 9,489$ | 0$ | 21 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 190 | 9,489$ | 1,802,910$ |
| # | 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 |
|---|
| 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 |
| # | 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 |
|---|
