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| Heat | |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Martin Bétit | Morale : 50 | Moyenne d’équipe : 51 Prochains matchs #18 vs Monsters |
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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 | Ryan Poehling | X | X | 100.00 | 69 | 43 | 96 | 74 | 73 | 62 | 72 | 69 | 76 | 62 | 70 | 68 | 25 | 55 | 55 | 0 | 50 | 64 | 0 | 22 | 1 | 925,000$ | |||
| 2 | Cody Glass | X | X | 100.00 | 81 | 44 | 99 | 84 | 72 | 59 | 83 | 72 | 67 | 61 | 55 | 59 | 75 | 53 | 54 | 0 | 50 | 63 | 0 | 22 | 2 | 863,335$ | |||
| 3 | Adam Gaudette | X | X | X | 100.00 | 77 | 54 | 90 | 77 | 65 | 59 | 75 | 66 | 47 | 63 | 59 | 64 | 75 | 63 | 63 | 0 | 50 | 62 | 0 | 25 | 1 | 1,800,000$ | ||
| 4 | Mikhail Maltsev | X | X | 100.00 | 82 | 45 | 96 | 74 | 74 | 51 | 80 | 66 | 73 | 50 | 55 | 68 | 25 | 49 | 49 | 0 | 50 | 60 | 0 | 23 | 2 | 750,000$ | |||
| 5 | Charles Hudon | X | X | 100.00 | 70 | 68 | 76 | 63 | 68 | 57 | 55 | 66 | 50 | 60 | 68 | 63 | 65 | 44 | 44 | 0 | 50 | 59 | 0 | 27 | 1 | 750,000$ | |||
| 6 | Ryan MacInnis | X | X | 100.00 | 78 | 77 | 81 | 64 | 77 | 61 | 62 | 60 | 75 | 57 | 58 | 66 | 55 | 46 | 46 | 0 | 50 | 59 | 0 | 25 | 1 | 850,000$ | |||
| 7 | Grigori Denisenko (R) | X | X | 100.00 | 74 | 67 | 91 | 78 | 67 | 53 | 51 | 61 | 50 | 56 | 61 | 63 | 58 | 44 | 44 | 0 | 50 | 58 | 0 | 21 | 3 | 925,000$ | |||
| 8 | Riley Tufte | X | 100.00 | 73 | 45 | 87 | 68 | 89 | 48 | 76 | 57 | 44 | 50 | 59 | 66 | 25 | 44 | 44 | 0 | 50 | 58 | 0 | 23 | 2 | 950,000$ | ||||
| 9 | Hudson Fasching | X | 100.00 | 80 | 44 | 99 | 65 | 74 | 55 | 62 | 55 | 25 | 50 | 55 | 67 | 75 | 55 | 55 | 0 | 50 | 57 | 0 | 26 | 3 | 600,000$ | ||||
| 10 | Alexander Campbell (R) | X | 100.00 | 39 | 30 | 99 | 70 | 55 | 61 | 77 | 48 | 48 | 41 | 47 | 39 | 49 | 54 | 54 | 0 | 50 | 50 | 0 | 20 | 4 | 700,000$ | ||||
| 11 | John Farinacci (R) | X | 100.00 | 48 | 43 | 99 | 65 | 69 | 54 | 69 | 43 | 53 | 36 | 42 | 43 | 44 | 54 | 54 | 0 | 50 | 48 | 0 | 20 | 4 | 700,000$ | ||||
| 12 | Alexandr Darin (R) | X | 100.00 | 44 | 37 | 99 | 65 | 62 | 50 | 67 | 36 | 47 | 31 | 34 | 38 | 36 | 58 | 58 | 0 | 50 | 45 | 0 | 21 | 4 | 650,000$ | ||||
| 13 | Jacob Moverare | X | 100.00 | 71 | 43 | 96 | 68 | 74 | 70 | 64 | 57 | 25 | 49 | 47 | 76 | 25 | 45 | 45 | 0 | 50 | 62 | 0 | 23 | 3 | 900,000$ | ||||
| 14 | Nicolas Beaudin | X | 100.00 | 66 | 63 | 72 | 66 | 63 | 68 | 74 | 48 | 25 | 40 | 40 | 57 | 38 | 46 | 46 | 0 | 50 | 55 | 0 | 21 | 2 | 894,168$ | ||||
| 15 | Julius Honka (R) | X | 100.00 | 69 | 66 | 88 | 66 | 66 | 51 | 53 | 47 | 25 | 39 | 38 | 59 | 38 | 44 | 44 | 0 | 50 | 53 | 0 | 25 | 1 | 950,000$ | ||||
| 16 | Ryan Johnson (R) | X | 100.00 | 44 | 38 | 99 | 64 | 63 | 56 | 79 | 36 | 25 | 37 | 29 | 41 | 30 | 54 | 54 | 0 | 50 | 49 | 0 | 20 | 4 | 825,000$ | ||||
| 17 | Mattias Norlinder (R) | X | 100.00 | 47 | 41 | 99 | 62 | 67 | 45 | 62 | 31 | 25 | 27 | 30 | 42 | 32 | 58 | 58 | 0 | 50 | 47 | 0 | 21 | 4 | 700,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | Aapeli Rasanen (R) | X | 100.00 | 31 | 37 | 37 | 37 | 67 | 29 | 29 | 31 | 37 | 30 | 30 | 37 | 33 | 32 | 30 | 0 | 50 | 34 | 0 | 23 | 0 | 0$ | ||||
| 2 | Cole Ully (R) | X | X | 100.00 | 29 | 37 | 37 | 37 | 46 | 25 | 25 | 29 | 37 | 28 | 28 | 37 | 31 | 32 | 30 | 0 | 50 | 32 | 0 | 26 | 0 | 0$ | |||
| 3 | Anthony Florentino (R) | X | 100.00 | 29 | 37 | 37 | 37 | 76 | 25 | 25 | 29 | 37 | 28 | 28 | 37 | 31 | 32 | 30 | 0 | 50 | 35 | 0 | 26 | 1 | 560,000$ | ||||
| 4 | Ryan Pilon (R) | X | 100.00 | 30 | 37 | 37 | 37 | 68 | 27 | 27 | 30 | 37 | 29 | 29 | 37 | 32 | 32 | 30 | 0 | 50 | 35 | 0 | 24 | 1 | 600,000$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 59 | 47 | 82 | 63 | 68 | 51 | 60 | 49 | 44 | 44 | 46 | 54 | 43 | 47 | 47 | 0 | 50 | 52 | ||||||||||
| 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 | Michael Dipietro (R) | 100.00 | 49 | 41 | 51 | 73 | 51 | 49 | 50 | 54 | 51 | 51 | 30 | 44 | 44 | 0 | 50 | 51 | 0 | 22 | 1 | 792,500$ | |
| 2 | Dylan Garand (R) | 100.00 | 44 | 52 | 64 | 67 | 39 | 42 | 49 | 49 | 42 | 43 | 29 | 44 | 41 | 0 | 50 | 47 | 0 | 19 | 3 | 650,000$ | |
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 47 | 47 | 58 | 70 | 45 | 46 | 50 | 52 | 47 | 47 | 30 | 44 | 43 | 0 | 50 | 49 | ||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aapeli Rasanen | Heat (Cal) | C | 23 | 1998-06-01 | Yes | 196 Lbs | 6 ft0 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien | |||||||||||
| Adam Gaudette | Heat (Cal) | C/LW/RW | 25 | 1996-10-02 | No | 170 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 1,800,000$ | 1,800,000$ | 180,000$ | 180,000$ | No | Lien | |||||||||
| Alexander Campbell | Heat (Cal) | LW | 20 | 2001-02-27 | Yes | 150 Lbs | 5 ft10 | No | No | No | 4 | Pro & Farm | 700,000$ | 700,000$ | 70,000$ | 70,000$ | No | 700,000$ | 700,000$ | 700,000$ | Lien | ||||||
| Alexandr Darin | Heat (Cal) | RW | 21 | 2000-08-16 | Yes | 170 Lbs | 5 ft11 | No | No | No | 4 | Pro & Farm | 650,000$ | 650,000$ | 65,000$ | 65,000$ | No | 650,000$ | 650,000$ | 650,000$ | Lien | ||||||
| Anthony Florentino | Heat (Cal) | D | 26 | 1995-01-30 | Yes | 227 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 560,000$ | 560,000$ | 56,000$ | 56,000$ | No | Lien | |||||||||
| Charles Hudon | Heat (Cal) | LW/RW | 27 | 1994-06-23 | No | 190 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 75,000$ | 75,000$ | No | Lien | |||||||||
| Cody Glass | Heat (Cal) | C/RW | 22 | 1999-04-01 | No | 192 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 863,335$ | 863,335$ | 86,334$ | 86,334$ | No | 863,335$ | Lien | ||||||||
| Cole Ully | Heat (Cal) | LW/RW | 26 | 1995-02-20 | Yes | 164 Lbs | 5 ft10 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien | |||||||||||
| Dylan Garand | Heat (Cal) | G | 19 | 2002-06-07 | Yes | 179 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 650,000$ | 650,000$ | 65,000$ | 65,000$ | No | 650,000$ | 650,000$ | Lien | |||||||
| Grigori Denisenko | Heat (Cal) | LW/RW | 21 | 2000-06-24 | Yes | 186 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 925,000$ | 925,000$ | 92,500$ | 92,500$ | No | 925,000$ | 925,000$ | Lien | |||||||
| Hudson Fasching | Heat (Cal) | RW | 26 | 1995-07-28 | No | 204 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 600,000$ | 600,000$ | 60,000$ | 60,000$ | No | 600,000$ | 600,000$ | Lien | |||||||
| Jacob Moverare | Heat (Cal) | D | 23 | 1998-08-31 | No | 198 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 900,000$ | 900,000$ | 90,000$ | 90,000$ | No | 900,000$ | 900,000$ | Lien | |||||||
| John Farinacci | Heat (Cal) | C | 20 | 2001-02-14 | Yes | 190 Lbs | 6 ft0 | No | No | No | 4 | Pro & Farm | 700,000$ | 700,000$ | 70,000$ | 70,000$ | No | 700,000$ | 700,000$ | 700,000$ | Lien | ||||||
| Julius Honka | Heat (Cal) | D | 25 | 1995-12-03 | Yes | 180 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 950,000$ | 950,000$ | 95,000$ | 95,000$ | No | Lien | |||||||||
| Mattias Norlinder | Heat (Cal) | D | 21 | 2000-04-12 | Yes | 185 Lbs | 6 ft0 | No | No | No | 4 | Pro & Farm | 700,000$ | 700,000$ | 70,000$ | 70,000$ | No | 700,000$ | 700,000$ | 700,000$ | Lien | ||||||
| Michael Dipietro | Heat (Cal) | G | 22 | 1999-06-08 | Yes | 200 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 792,500$ | 792,500$ | 79,250$ | 79,250$ | No | Lien | |||||||||
| Mikhail Maltsev | Heat (Cal) | C/LW | 23 | 1998-03-12 | No | 198 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 75,000$ | 75,000$ | No | 750,000$ | Lien | ||||||||
| Nicolas Beaudin | Heat (Cal) | D | 21 | 1999-10-07 | No | 174 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 894,168$ | 894,168$ | 89,417$ | 89,417$ | No | 894,168$ | Lien | ||||||||
| Riley Tufte | Heat (Cal) | LW | 23 | 1998-04-10 | No | 235 Lbs | 6 ft6 | No | No | No | 2 | Pro & Farm | 950,000$ | 950,000$ | 95,000$ | 95,000$ | No | 950,000$ | Lien | ||||||||
| Ryan Johnson | Heat (Cal) | D | 20 | 2001-07-24 | Yes | 170 Lbs | 6 ft0 | No | No | No | 4 | Pro & Farm | 825,000$ | 825,000$ | 82,500$ | 82,500$ | No | 825,000$ | 825,000$ | 825,000$ | Lien | ||||||
| Ryan MacInnis | Heat (Cal) | C/LW | 25 | 1996-02-14 | No | 201 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 850,000$ | 850,000$ | 85,000$ | 85,000$ | No | Lien | |||||||||
| Ryan Pilon | Heat (Cal) | D | 24 | 1996-10-10 | Yes | 206 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 60,000$ | 60,000$ | No | Lien | |||||||||
| Ryan Poehling | Heat (Cal) | C/LW | 22 | 1999-01-03 | No | 197 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 92,500$ | 92,500$ | No | Lien |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 23 | 22.83 | 190 Lbs | 6 ft1 | 2.09 | 753,696$ |
| 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 | 20 | 1 | 2 | 2 | |||
| 4 | Grigori Denisenko | 10 | 1 | 2 | 2 | ||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Julius Honka | 40 | 1 | 2 | 2 | ||
| 2 | Grigori Denisenko | 30 | 1 | 2 | 2 | ||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | Julius Honka | 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 | Julius Honka | 60 | 1 | 2 | 2 | ||
| 2 | Grigori Denisenko | 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 | Julius Honka | 60 | 1 | 2 | 2 | |
| 2 | 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 | Julius Honka | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | 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 | Julius Honka | 60 | 1 | 2 | 2 | |
| 2 | 40 | 1 | 2 | 2 | ||
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Julius Honka | ||||
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Julius Honka | ||||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , Julius Honka | , Julius Honka | |
| Tirs de pénalité |
|---|
| , , , , |
| Gardien |
|---|
| #1 : , #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 |
| 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 | 18 | Monsters | - | Heat | - | |||||
| 9 - 2022-10-15 | 37 | Heat | - | Oil Kings | - | |||||
| 12 - 2022-10-18 | 55 | Las Vegas | - | Heat | - | |||||
| 14 - 2022-10-20 | 68 | Crunch | - | Heat | - | |||||
| 16 - 2022-10-22 | 86 | Caroline | - | Heat | - | |||||
| 19 - 2022-10-25 | 104 | Manchots | - | Heat | - | |||||
| 23 - 2022-10-29 | 138 | Oil Kings | - | Heat | - | |||||
| 26 - 2022-11-01 | 155 | Seattle | - | Heat | - | |||||
| 28 - 2022-11-03 | 169 | Chill | - | Heat | - | |||||
| 30 - 2022-11-05 | 187 | Spiders | - | Heat | - | |||||
| 32 - 2022-11-07 | 193 | Heat | - | Sound Tigers | - | |||||
| 33 - 2022-11-08 | 197 | Heat | - | Spiders | - | |||||
| 35 - 2022-11-10 | 211 | Heat | - | Bruins | - | |||||
| 37 - 2022-11-12 | 236 | Oceanics | - | Heat | - | |||||
| 39 - 2022-11-14 | 245 | Monarchs | - | Heat | - | |||||
| 42 - 2022-11-17 | 260 | Heat | - | Thunder | - | |||||
| 44 - 2022-11-19 | 275 | Heat | - | Cabaret Lady Mary Ann | - | |||||
| 46 - 2022-11-21 | 292 | Heat | - | Phantoms | - | |||||
| 48 - 2022-11-23 | 306 | Heat | - | Manchots | - | |||||
| 50 - 2022-11-25 | 322 | Heat | - | Bears | - | |||||
| 51 - 2022-11-26 | 333 | Heat | - | Caroline | - | |||||
| 54 - 2022-11-29 | 358 | Cabaret Lady Mary Ann | - | Heat | - | |||||
| 56 - 2022-12-01 | 372 | Rocket | - | Heat | - | |||||
| 58 - 2022-12-03 | 390 | Bears | - | Heat | - | |||||
| 60 - 2022-12-05 | 401 | Jayhawks | - | Heat | - | |||||
| 62 - 2022-12-07 | 414 | Minnesota | - | Heat | - | |||||
| 64 - 2022-12-09 | 424 | Heat | - | Monsters | - | |||||
| 65 - 2022-12-10 | 438 | Heat | - | Marlies | - | |||||
| 67 - 2022-12-12 | 448 | Heat | - | Rocket | - | |||||
| 69 - 2022-12-14 | 468 | Comets | - | Heat | - | |||||
| 71 - 2022-12-16 | 482 | Chiefs | - | Heat | - | |||||
| 73 - 2022-12-18 | 501 | Heat | - | Sharks | - | |||||
| 75 - 2022-12-20 | 517 | Heat | - | Sharks | - | |||||
| 77 - 2022-12-22 | 531 | Heat | - | Monarchs | - | |||||
| 78 - 2022-12-23 | 544 | Heat | - | Admirals | - | |||||
| 82 - 2022-12-27 | 555 | Oil Kings | - | Heat | - | |||||
| 83 - 2022-12-28 | 561 | Heat | - | Seattle | - | |||||
| 86 - 2022-12-31 | 587 | Comets | - | Heat | - | |||||
| 89 - 2023-01-03 | 603 | Heat | - | Oceanics | - | |||||
| 92 - 2023-01-06 | 626 | Sound Tigers | - | Heat | - | |||||
| 94 - 2023-01-08 | 641 | Heat | - | Baby Hawks | - | |||||
| 96 - 2023-01-10 | 655 | Heat | - | Chiefs | - | |||||
| 98 - 2023-01-12 | 670 | Heat | - | Chiefs | - | |||||
| 100 - 2023-01-14 | 677 | Heat | - | Stars | - | |||||
| 102 - 2023-01-16 | 703 | Heat | - | Chill | - | |||||
| 104 - 2023-01-18 | 715 | Monsters | - | Heat | - | |||||
| 107 - 2023-01-21 | 733 | Thunder | - | Heat | - | |||||
| 109 - 2023-01-23 | 754 | Monsters | - | Heat | - | |||||
| 112 - 2023-01-26 | 777 | Baby Hawks | - | Heat | - | |||||
| 113 - 2023-01-27 | 786 | Heat | - | Seattle | - | |||||
| 123 - 2023-02-06 | 809 | Heat | - | Wolf Pack | - | |||||
| 126 - 2023-02-09 | 825 | Heat | - | Cougars | - | |||||
| 128 - 2023-02-11 | 833 | Heat | - | Crunch | - | |||||
| 130 - 2023-02-13 | 850 | Heat | - | Senators | - | |||||
| 133 - 2023-02-16 | 875 | Cougars | - | Heat | - | |||||
| 135 - 2023-02-18 | 891 | Wolf Pack | - | Heat | - | |||||
| 137 - 2023-02-20 | 905 | Phantoms | - | Heat | - | |||||
| 139 - 2023-02-22 | 919 | Heat | - | Jayhawks | - | |||||
| 140 - 2023-02-23 | 928 | Heat | - | Las Vegas | - | |||||
| 142 - 2023-02-25 | 945 | Heat | - | Monsters | - | |||||
| 145 - 2023-02-28 | 965 | Bruins | - | Heat | - | |||||
| 147 - 2023-03-02 | 979 | Marlies | - | Heat | - | |||||
| 149 - 2023-03-04 | 999 | Minnesota | - | Heat | - | |||||
| 151 - 2023-03-06 | 1008 | Heat | - | Stars | - | |||||
| 152 - 2023-03-07 | 1018 | Heat | - | Minnesota | - | |||||
| 155 - 2023-03-10 | 1037 | Admirals | - | Heat | - | |||||
| 157 - 2023-03-12 | 1058 | Senators | - | Heat | - | |||||
| 159 - 2023-03-14 | 1072 | Heat | - | Jayhawks | - | |||||
| 161 - 2023-03-16 | 1087 | Heat | - | Las Vegas | - | |||||
| 163 - 2023-03-18 | 1105 | Stars | - | Heat | - | |||||
| 165 - 2023-03-20 | 1119 | Heat | - | Monarchs | - | |||||
| Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée! | ||||||||||
| 166 - 2023-03-21 | 1131 | Heat | - | Admirals | - | |||||
| 168 - 2023-03-23 | 1144 | Las Vegas | - | Heat | - | |||||
| 170 - 2023-03-25 | 1154 | Sharks | - | Heat | - | |||||
| 173 - 2023-03-28 | 1183 | Monarchs | - | Heat | - | |||||
| 176 - 2023-03-31 | 1202 | Heat | - | Comets | - | |||||
| 178 - 2023-04-02 | 1225 | Admirals | - | Heat | - | |||||
| 180 - 2023-04-04 | 1236 | Baby Hawks | - | Heat | - | |||||
| 181 - 2023-04-05 | 1240 | Heat | - | Oceanics | - | |||||
| 184 - 2023-04-08 | 1270 | Heat | - | Comets | - | |||||
| 186 - 2023-04-10 | 1282 | Chill | - | Heat | - | |||||
| 188 - 2023-04-12 | 1297 | Sharks | - | Heat | - | |||||
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| Prix des billets | 35 | 15 |
| Assistance | 0.00% | 0.00% |
| Assistance PCT | 0.00% | 0.00% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe | 41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
| 0$ | 1,733,501$ | 1,733,501$ | 0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 9,124$ | 0$ | 21 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 190 | 9,124$ | 1,733,560$ |
| # | 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 |
|---|
