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| Monsters | |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Paul-André Desrochers | Morale : 50 | Moyenne d’équipe : 58 Prochains matchs #8 vs Baby Hawks |
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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 | Peyton Krebs (R) | X | X | 100.00 | 63 | 41 | 88 | 80 | 66 | 68 | 69 | 74 | 48 | 71 | 62 | 63 | 25 | 51 | 51 | 0 | 50 | 63 | 0 | 20 | 2 | 894,167$ | |||
| 2 | Brad Richardson | X | 100.00 | 78 | 57 | 77 | 77 | 70 | 57 | 59 | 54 | 78 | 59 | 59 | 70 | 25 | 82 | 86 | 0 | 50 | 62 | 0 | 36 | 1 | 1,700,000$ | ||||
| 3 | Vasily Podkolzin (R) | X | 100.00 | 76 | 44 | 89 | 78 | 71 | 64 | 65 | 62 | 37 | 62 | 71 | 65 | 25 | 54 | 54 | 0 | 50 | 62 | 0 | 20 | 4 | 925,000$ | ||||
| 4 | Brett Seney | X | X | 100.00 | 59 | 56 | 65 | 77 | 56 | 71 | 73 | 67 | 80 | 67 | 62 | 59 | 59 | 49 | 49 | 0 | 50 | 61 | 0 | 25 | 1 | 782,500$ | |||
| 5 | Otto Koivula | X | X | 100.00 | 75 | 45 | 99 | 71 | 84 | 58 | 68 | 62 | 67 | 70 | 55 | 63 | 25 | 45 | 45 | 0 | 50 | 61 | 0 | 23 | 2 | 700,000$ | |||
| 6 | Aliaksei Protas (R) | X | 100.00 | 67 | 44 | 99 | 72 | 86 | 61 | 64 | 66 | 55 | 64 | 59 | 59 | 25 | 47 | 47 | 0 | 50 | 60 | 0 | 20 | 3 | 795,000$ | ||||
| 7 | Oskar Steen | X | X | 100.00 | 81 | 44 | 90 | 68 | 65 | 59 | 73 | 60 | 31 | 65 | 59 | 70 | 25 | 46 | 46 | 0 | 50 | 60 | 0 | 23 | 2 | 809,168$ | |||
| 8 | Ben Jones | X | 100.00 | 68 | 68 | 69 | 66 | 68 | 75 | 79 | 61 | 76 | 52 | 65 | 60 | 62 | 44 | 44 | 0 | 50 | 59 | 0 | 22 | 3 | 760,000$ | ||||
| 9 | Marian Studenic | X | 100.00 | 71 | 42 | 93 | 72 | 62 | 59 | 66 | 61 | 31 | 56 | 57 | 75 | 25 | 47 | 47 | 0 | 50 | 59 | 0 | 22 | 2 | 750,000$ | ||||
| 10 | Ty Ronning | X | 100.00 | 69 | 61 | 87 | 63 | 61 | 61 | 62 | 61 | 50 | 56 | 62 | 61 | 59 | 44 | 44 | 0 | 50 | 57 | 0 | 23 | 3 | 750,833$ | ||||
| 11 | Curtis Hall (R) | X | 100.00 | 86 | 81 | 97 | 70 | 81 | 53 | 55 | 46 | 58 | 42 | 45 | 66 | 43 | 44 | 44 | 0 | 50 | 54 | 0 | 21 | 3 | 925,000$ | ||||
| 12 | Grant Mismash | X | X | 100.00 | 74 | 68 | 89 | 65 | 68 | 51 | 52 | 49 | 61 | 45 | 48 | 60 | 46 | 44 | 44 | 0 | 50 | 52 | 0 | 22 | 2 | 825,000$ | |||
| 13 | Olle Lycksell (R) | X | 100.00 | 45 | 40 | 89 | 67 | 63 | 61 | 80 | 47 | 53 | 41 | 44 | 44 | 48 | 54 | 54 | 0 | 50 | 50 | 0 | 22 | 3 | 837,000$ | ||||
| 14 | Steven Kampfer | X | 100.00 | 71 | 43 | 92 | 67 | 70 | 65 | 49 | 57 | 25 | 47 | 46 | 69 | 24 | 63 | 64 | 0 | 50 | 60 | 0 | 33 | 2 | 750,000$ | ||||
| 15 | Alexander Alexeyev | X | 100.00 | 80 | 80 | 79 | 71 | 80 | 62 | 66 | 49 | 25 | 43 | 39 | 63 | 37 | 44 | 44 | 0 | 50 | 58 | 0 | 21 | 3 | 863,333$ | ||||
| 16 | Jordan Gross | X | 100.00 | 71 | 68 | 79 | 66 | 68 | 62 | 62 | 63 | 25 | 61 | 51 | 62 | 48 | 44 | 44 | 0 | 50 | 58 | 0 | 26 | 1 | 700,000$ | ||||
| 17 | Matthew Robertson (R) | X | 100.00 | 79 | 77 | 84 | 63 | 77 | 53 | 55 | 46 | 25 | 37 | 39 | 62 | 37 | 44 | 44 | 0 | 50 | 55 | 0 | 20 | 4 | 797,500$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | Caleb Jones | X | 100.00 | 80 | 44 | 89 | 77 | 71 | 70 | 68 | 64 | 25 | 54 | 50 | 76 | 75 | 64 | 64 | 0 | 50 | 66 | 0 | 24 | 0 | 0$ | ||||
| 2 | Lucas Carlsson | X | 100.00 | 75 | 43 | 91 | 71 | 70 | 60 | 65 | 57 | 25 | 51 | 49 | 64 | 25 | 50 | 50 | 0 | 50 | 60 | 0 | 24 | 0 | 0$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 72 | 55 | 87 | 71 | 70 | 62 | 65 | 58 | 46 | 55 | 54 | 64 | 39 | 51 | 51 | 0 | 50 | 59 | ||||||||||
| 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 | Tyler Parsons | 100.00 | 43 | 48 | 58 | 70 | 39 | 41 | 49 | 48 | 42 | 43 | 29 | 44 | 41 | 0 | 50 | 47 | 0 | 24 | 1 | 650,000$ | |
| 2 | Filip Larsson (R) | 100.00 | 41 | 49 | 58 | 71 | 44 | 44 | 47 | 46 | 40 | 41 | 27 | 44 | 41 | 0 | 50 | 47 | 0 | 23 | 1 | 836,666$ | |
| Rayé | |||||||||||||||||||||||
| 1 | Laurent Brossoit | 100.00 | 63 | 53 | 54 | 81 | 70 | 56 | 70 | 62 | 65 | 63 | 62 | 57 | 57 | 0 | 50 | 63 | 0 | 28 | 0 | 0$ | |
| MOYENNE D’ÉQUIPE | 100.00 | 49 | 50 | 57 | 74 | 51 | 47 | 55 | 52 | 49 | 49 | 39 | 48 | 46 | 0 | 50 | 52 | ||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alexander Alexeyev | Monsters (Col) | D | 21 | 1999-11-15 | No | 210 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 863,333$ | 863,333$ | 86,333$ | 86,333$ | No | 863,333$ | 863,333$ | Lien | |||||||
| Aliaksei Protas | Monsters (Col) | C | 20 | 2001-01-06 | Yes | 225 Lbs | 6 ft6 | No | No | No | 3 | Pro & Farm | 795,000$ | 795,000$ | 79,500$ | 79,500$ | No | 795,000$ | 795,000$ | Lien | |||||||
| Ben Jones | Monsters (Col) | C | 22 | 1999-02-25 | No | 187 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 760,000$ | 760,000$ | 76,000$ | 76,000$ | No | 760,000$ | 760,000$ | Lien | |||||||
| Brad Richardson | Monsters (Col) | C | 36 | 1985-02-03 | No | 190 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 1,700,000$ | 1,700,000$ | 170,000$ | 170,000$ | No | Lien | |||||||||
| Brett Seney | Monsters (Col) | C/LW | 25 | 1996-02-27 | No | 156 Lbs | 5 ft9 | No | No | No | 1 | Pro & Farm | 782,500$ | 782,500$ | 78,250$ | 78,250$ | No | Lien | |||||||||
| Caleb Jones | Monsters (Col) | D | 24 | 1997-06-05 | No | 194 Lbs | 6 ft1 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien | |||||||||||
| Curtis Hall | Monsters (Col) | C | 21 | 2000-04-26 | Yes | 216 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 925,000$ | 925,000$ | 92,500$ | 92,500$ | No | 925,000$ | 925,000$ | Lien | |||||||
| Filip Larsson | Monsters (Col) | G | 23 | 1998-08-17 | Yes | 181 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 836,666$ | 836,666$ | 83,667$ | 83,667$ | No | Lien | |||||||||
| Grant Mismash | Monsters (Col) | C/LW | 22 | 1999-02-19 | No | 185 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 825,000$ | 825,000$ | 82,500$ | 82,500$ | No | 825,000$ | Lien | ||||||||
| Jordan Gross | Monsters (Col) | D | 26 | 1995-05-09 | No | 190 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 700,000$ | 700,000$ | 70,000$ | 70,000$ | No | Lien | |||||||||
| Laurent Brossoit | Monsters (Col) | G | 28 | 1993-03-22 | No | 205 Lbs | 6 ft3 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien | |||||||||||
| Lucas Carlsson | Monsters (Col) | D | 24 | 1997-07-05 | No | 190 Lbs | 6 ft0 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien | |||||||||||
| Marian Studenic | Monsters (Col) | RW | 22 | 1998-10-28 | No | 163 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 75,000$ | 75,000$ | No | 750,000$ | Lien | ||||||||
| Matthew Robertson | Monsters (Col) | D | 20 | 2001-03-09 | Yes | 201 Lbs | 6 ft4 | No | No | No | 4 | Pro & Farm | 797,500$ | 797,500$ | 79,750$ | 79,750$ | No | 797,500$ | 797,500$ | 797,500$ | Lien | ||||||
| Olle Lycksell | Monsters (Col) | RW | 22 | 1999-08-24 | Yes | 176 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 837,000$ | 837,000$ | 83,700$ | 83,700$ | No | 837,000$ | 837,000$ | Lien | |||||||
| Oskar Steen | Monsters (Col) | C/RW | 23 | 1998-03-09 | No | 188 Lbs | 5 ft9 | No | No | No | 2 | Pro & Farm | 809,168$ | 809,168$ | 80,917$ | 80,917$ | No | 809,168$ | Lien | ||||||||
| Otto Koivula | Monsters (Col) | C/LW | 23 | 1998-09-01 | No | 223 Lbs | 6 ft5 | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 70,000$ | 70,000$ | No | 700,000$ | Lien | ||||||||
| Peyton Krebs | Monsters (Col) | C/LW | 20 | 2001-01-26 | Yes | 180 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 894,167$ | 894,167$ | 89,417$ | 89,417$ | No | 894,167$ | Lien | ||||||||
| Steven Kampfer | Monsters (Col) | D | 33 | 1988-09-24 | No | 198 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 75,000$ | 75,000$ | No | 750,000$ | Lien | ||||||||
| Ty Ronning | Monsters (Col) | RW | 23 | 1997-10-20 | No | 172 Lbs | 5 ft9 | No | No | No | 3 | Pro & Farm | 750,833$ | 750,833$ | 75,083$ | 75,083$ | No | 750,833$ | 750,833$ | Lien | |||||||
| Tyler Parsons | Monsters (Col) | G | 24 | 1997-09-17 | No | 185 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 650,000$ | 650,000$ | 65,000$ | 65,000$ | No | Lien | |||||||||
| Vasily Podkolzin | Monsters (Col) | RW | 20 | 2001-06-24 | Yes | 190 Lbs | 6 ft1 | No | No | No | 4 | Pro & Farm | 925,000$ | 925,000$ | 92,500$ | 92,500$ | No | 925,000$ | 925,000$ | 925,000$ | Lien |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 22 | 23.73 | 191 Lbs | 6 ft1 | 1.95 | 729,599$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Oskar Steen | 40 | 1 | 2 | 2 | ||
| 2 | Ben Jones | Ty Ronning | 30 | 1 | 2 | 2 | |
| 3 | Aliaksei Protas | 20 | 1 | 2 | 2 | ||
| 4 | Brett Seney | 10 | 1 | 2 | 2 | ||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Steven Kampfer | 40 | 1 | 2 | 2 | ||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | Steven Kampfer | 10 | 1 | 2 | 2 | ||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Oskar Steen | 60 | 1 | 2 | 2 | ||
| 2 | Ben Jones | Ty Ronning | 40 | 1 | 2 | 2 | |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Steven Kampfer | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | |||
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | Oskar Steen | Ben Jones | 40 | 1 | 2 | 2 |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Steven Kampfer | 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 | Steven Kampfer | 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 | Oskar Steen | Ben Jones | 40 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Steven Kampfer | 60 | 1 | 2 | 2 | |
| 2 | 40 | 1 | 2 | 2 | ||
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Oskar Steen | Steven Kampfer | |||
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Oskar Steen | Steven Kampfer | |||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Aliaksei Protas, , | Aliaksei Protas, | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Tirs de pénalité |
|---|
| , , Oskar Steen, Ben Jones, Ty Ronning |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 6 - 2022-10-12 | 8 | Baby Hawks | - | Monsters | - | |||||
| 7 - 2022-10-13 | 18 | Monsters | - | Heat | - | |||||
| 11 - 2022-10-17 | 45 | Monsters | - | Minnesota | - | |||||
| 13 - 2022-10-19 | 57 | Oceanics | - | Monsters | - | |||||
| 15 - 2022-10-21 | 73 | Seattle | - | Monsters | - | |||||
| 16 - 2022-10-22 | 85 | Monsters | - | Las Vegas | - | |||||
| 19 - 2022-10-25 | 99 | Monsters | - | Wolf Pack | - | |||||
| 22 - 2022-10-28 | 123 | Monsters | - | Spiders | - | |||||
| 23 - 2022-10-29 | 135 | Monsters | - | Sound Tigers | - | |||||
| 29 - 2022-11-04 | 174 | Monsters | - | Monsters | - | |||||
| 30 - 2022-11-05 | 176 | Monsters | - | Monsters | - | |||||
| 35 - 2022-11-10 | 219 | Chill | - | Monsters | - | |||||
| 37 - 2022-11-12 | 233 | Caroline | - | Monsters | - | |||||
| 39 - 2022-11-14 | 247 | Chiefs | - | Monsters | - | |||||
| 42 - 2022-11-17 | 261 | Monsters | - | Caroline | - | |||||
| 44 - 2022-11-19 | 279 | Monsters | - | Bears | - | |||||
| 46 - 2022-11-21 | 298 | Monsters | - | Stars | - | |||||
| 48 - 2022-11-23 | 317 | Comets | - | Monsters | - | |||||
| 50 - 2022-11-25 | 319 | Monsters | - | Chill | - | |||||
| 51 - 2022-11-26 | 339 | Stars | - | Monsters | - | |||||
| 54 - 2022-11-29 | 357 | Monsters | - | Oceanics | - | |||||
| 56 - 2022-12-01 | 365 | Monsters | - | Crunch | - | |||||
| 58 - 2022-12-03 | 381 | Monsters | - | Bruins | - | |||||
| 60 - 2022-12-05 | 397 | Monsters | - | Phantoms | - | |||||
| 62 - 2022-12-07 | 415 | Bruins | - | Monsters | - | |||||
| 64 - 2022-12-09 | 430 | Wolf Pack | - | Monsters | - | |||||
| 66 - 2022-12-11 | 442 | Monsters | - | Chiefs | - | |||||
| 68 - 2022-12-13 | 464 | Phantoms | - | Monsters | - | |||||
| 70 - 2022-12-15 | 479 | Crunch | - | Monsters | - | |||||
| 72 - 2022-12-17 | 493 | Chill | - | Monsters | - | |||||
| 74 - 2022-12-19 | 506 | Sound Tigers | - | Monsters | - | |||||
| 76 - 2022-12-21 | 520 | Rocket | - | Monsters | - | |||||
| 78 - 2022-12-23 | 539 | Monsters | - | Chill | - | |||||
| 82 - 2022-12-27 | 554 | Monsters | - | Jayhawks | - | |||||
| 84 - 2022-12-29 | 571 | Monarchs | - | Monsters | - | |||||
| 86 - 2022-12-31 | 582 | Marlies | - | Monsters | - | |||||
| 88 - 2023-01-02 | 596 | Las Vegas | - | Monsters | - | |||||
| 91 - 2023-01-05 | 619 | Monsters | - | Comets | - | |||||
| 93 - 2023-01-07 | 635 | Monsters | - | Oil Kings | - | |||||
| 96 - 2023-01-10 | 656 | Cabaret Lady Mary Ann | - | Monsters | - | |||||
| 98 - 2023-01-12 | 671 | Monsters | - | Baby Hawks | - | |||||
| 100 - 2023-01-14 | 678 | Senators | - | Monsters | - | |||||
| 102 - 2023-01-16 | 696 | Cougars | - | Monsters | - | |||||
| 104 - 2023-01-18 | 715 | Monsters | - | Heat | - | |||||
| 106 - 2023-01-20 | 731 | Monsters | - | Comets | - | |||||
| 107 - 2023-01-21 | 743 | Monsters | - | Seattle | - | |||||
| 110 - 2023-01-24 | 764 | Bears | - | Monsters | - | |||||
| 112 - 2023-01-26 | 776 | Admirals | - | Monsters | - | |||||
| 114 - 2023-01-28 | 788 | Chiefs | - | Monsters | - | |||||
| 124 - 2023-02-07 | 813 | Monsters | - | Manchots | - | |||||
| 126 - 2023-02-09 | 821 | Monsters | - | Thunder | - | |||||
| 128 - 2023-02-11 | 839 | Monsters | - | Cabaret Lady Mary Ann | - | |||||
| 131 - 2023-02-14 | 862 | Thunder | - | Monsters | - | |||||
| 132 - 2023-02-15 | 867 | Monsters | - | Minnesota | - | |||||
| 135 - 2023-02-18 | 883 | Monsters | - | Chiefs | - | |||||
| 136 - 2023-02-19 | 898 | Oil Kings | - | Monsters | - | |||||
| 141 - 2023-02-24 | 935 | Monsters | - | Oceanics | - | |||||
| 142 - 2023-02-25 | 945 | Heat | - | Monsters | - | |||||
| 144 - 2023-02-27 | 956 | Las Vegas | - | Monsters | - | |||||
| 146 - 2023-03-01 | 971 | Spiders | - | Monsters | - | |||||
| 149 - 2023-03-04 | 997 | Monsters | - | Stars | - | |||||
| 150 - 2023-03-05 | 1005 | Seattle | - | Monsters | - | |||||
| 152 - 2023-03-07 | 1019 | Sharks | - | Monsters | - | |||||
| 154 - 2023-03-09 | 1033 | Monarchs | - | Monsters | - | |||||
| 156 - 2023-03-11 | 1041 | Jayhawks | - | Monsters | - | |||||
| 158 - 2023-03-13 | 1062 | Monsters | - | Rocket | - | |||||
| 160 - 2023-03-15 | 1077 | Monsters | - | Marlies | - | |||||
| 161 - 2023-03-16 | 1080 | Monsters | - | Senators | - | |||||
| 163 - 2023-03-18 | 1095 | Monsters | - | Cougars | - | |||||
| 165 - 2023-03-20 | 1117 | Baby Hawks | - | Monsters | - | |||||
| Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée! | ||||||||||
| 167 - 2023-03-22 | 1133 | Manchots | - | Monsters | - | |||||
| 169 - 2023-03-24 | 1149 | Jayhawks | - | Monsters | - | |||||
| 171 - 2023-03-26 | 1165 | Monsters | - | Jayhawks | - | |||||
| 172 - 2023-03-27 | 1174 | Monsters | - | Admirals | - | |||||
| 174 - 2023-03-29 | 1188 | Minnesota | - | Monsters | - | |||||
| 177 - 2023-04-01 | 1212 | Stars | - | Monsters | - | |||||
| 180 - 2023-04-04 | 1239 | Monsters | - | Sharks | - | |||||
| 182 - 2023-04-06 | 1256 | Monsters | - | Sharks | - | |||||
| 184 - 2023-04-08 | 1272 | Monsters | - | Monarchs | - | |||||
| 185 - 2023-04-09 | 1274 | Monsters | - | Admirals | - | |||||
| 187 - 2023-04-11 | 1292 | Oil Kings | - | Monsters | - | |||||
| 189 - 2023-04-13 | 1309 | Oceanics | - | Monsters | - | |||||
| 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$ | 1,605,117$ | 1,605,117$ | 0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 8,448$ | 0$ | 19 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 190 | 8,448$ | 1,605,120$ |
| # | 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 |
|---|
