Comets | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Samuel Gendron-Mallet | Morale : 50 | Moyenne d’équipe : 58 Prochains matchs #8 vs Oil Kings |
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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 | Brad Malone | X | X | 100.00 | 60 | 47 | 61 | 61 | 66 | 68 | 68 | 61 | 56 | 62 | 54 | 61 | 59 | 70 | 66 | 0 | 50 | 61 | 0 | 33 | 1 | 600,000$ | |||
2 | Aleksi Heponiemi | X | X | 100.00 | 54 | 43 | 72 | 71 | 52 | 64 | 64 | 63 | 59 | 65 | 55 | 59 | 64 | 52 | 51 | 0 | 50 | 60 | 0 | 23 | 1 | 925,001$ | |||
3 | Joe Snively | X | 100.00 | 57 | 44 | 68 | 71 | 56 | 65 | 63 | 61 | 42 | 62 | 55 | 63 | 62 | 55 | 50 | 0 | 50 | 60 | 0 | 26 | 2 | 900,000$ | ||||
4 | Filip Hallander (R) | X | 100.00 | 62 | 45 | 70 | 69 | 64 | 63 | 62 | 63 | 42 | 61 | 56 | 59 | 63 | 51 | 50 | 0 | 50 | 60 | 0 | 22 | 2 | 764,167$ | ||||
5 | Aidan Dudas (R) | X | 100.00 | 53 | 43 | 68 | 71 | 53 | 65 | 64 | 63 | 42 | 60 | 56 | 53 | 63 | 51 | 50 | 0 | 50 | 59 | 0 | 22 | 2 | 786,667$ | ||||
6 | Semyon Der-Arguchintsev (R) | X | 100.00 | 54 | 43 | 70 | 71 | 55 | 62 | 61 | 63 | 59 | 63 | 56 | 55 | 64 | 50 | 50 | 0 | 50 | 59 | 0 | 22 | 2 | 766,667$ | ||||
7 | Mathias Laferriere (R) | X | 100.00 | 60 | 44 | 71 | 69 | 62 | 63 | 62 | 59 | 41 | 58 | 53 | 59 | 60 | 51 | 50 | 0 | 50 | 59 | 0 | 22 | 1 | 700,000$ | ||||
8 | Andre Lee (R) | X | X | 100.00 | 65 | 46 | 63 | 58 | 70 | 61 | 60 | 58 | 40 | 51 | 52 | 54 | 56 | 50 | 50 | 0 | 50 | 56 | 0 | 22 | 1 | 900,000$ | |||
9 | Maksim Sushko | X | 100.00 | 71 | 71 | 83 | 64 | 71 | 50 | 51 | 50 | 49 | 41 | 52 | 61 | 51 | 44 | 44 | 0 | 50 | 55 | 0 | 23 | 1 | 775,002$ | ||||
10 | Ivan Lodnia (R) | X | 100.00 | 53 | 47 | 53 | 56 | 55 | 54 | 52 | 52 | 40 | 50 | 51 | 52 | 52 | 50 | 50 | 0 | 50 | 52 | 0 | 23 | 1 | 747,500$ | ||||
11 | Bulat Shafigullin (R) | X | 100.00 | 44 | 42 | 76 | 65 | 61 | 57 | 81 | 38 | 48 | 29 | 37 | 42 | 42 | 54 | 54 | 0 | 50 | 48 | 0 | 22 | 2 | 700,000$ | ||||
12 | Max Gildon | X | 100.00 | 61 | 45 | 63 | 66 | 65 | 63 | 62 | 60 | 40 | 55 | 52 | 63 | 59 | 52 | 50 | 0 | 50 | 60 | 0 | 23 | 1 | 700,000$ | ||||
13 | Markus Phillips | X | 100.00 | 71 | 73 | 81 | 65 | 73 | 51 | 53 | 42 | 25 | 33 | 36 | 59 | 36 | 44 | 44 | 0 | 50 | 54 | 0 | 23 | 1 | 796,667$ | ||||
14 | Case McCarthy (R) | X | 100.00 | 46 | 45 | 97 | 62 | 71 | 46 | 61 | 35 | 25 | 32 | 30 | 44 | 34 | 54 | 54 | 0 | 50 | 49 | 0 | 21 | 3 | 650,000$ | ||||
15 | Stanislav Demin (R) | X | 100.00 | 51 | 53 | 69 | 60 | 71 | 40 | 52 | 31 | 25 | 27 | 28 | 48 | 32 | 50 | 50 | 0 | 50 | 48 | 0 | 22 | 2 | 700,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Kyle Capobianco | X | HO | 63 | 43 | 72 | 73 | 83 | 83 | 74 | 68 | 40 | 62 | 63 | 66 | 68 | 74 | 64 | 0 | 50 | 68 | 0 | 25 | 3 | 1,100,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 58 | 48 | 71 | 66 | 64 | 60 | 62 | 54 | 42 | 51 | 49 | 56 | 54 | 53 | 52 | 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 | Lukas Dostal (R) | 100.00 | 78 | 71 | 72 | 72 | 75 | 75 | 74 | 74 | 76 | 75 | 74 | 56 | 51 | 0 | 50 | 68 | 0 | 22 | 2 | 822,500$ | |
2 | Troy Grosenick | 100.00 | 66 | 64 | 59 | 63 | 63 | 64 | 65 | 62 | 65 | 63 | 65 | 69 | 62 | 0 | 50 | 59 | 0 | 33 | 1 | 1,100,000$ | |
Rayé | |||||||||||||||||||||||
1 | Matthew Villalta (R) | 100.00 | 72 | 62 | 63 | 58 | 66 | 68 | 70 | 69 | 70 | 67 | 58 | 52 | 50 | 0 | 50 | 61 | 0 | 23 | 2 | 620,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 72 | 66 | 65 | 64 | 68 | 69 | 70 | 68 | 70 | 68 | 66 | 59 | 54 | 0 | 50 | 63 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
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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 | 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 |
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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 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 |
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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 | Nom de l’équipe | POS | Âge | Date de naissance | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Waiver Possible | 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 | Lien |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aidan Dudas | Comets (Van) | LW | 22 | 2000-06-15 | Yes | 161 Lbs | 5 ft8 | No | No | No | No | 2 | Pro & Farm | 786,667$ | 786,667$ | 0$ | 0$ | No | 786,667$ | Lien | ||||||||
Aleksi Heponiemi | Comets (Van) | C/LW | 23 | 1999-01-09 | No | 154 Lbs | 5 ft10 | No | No | No | No | 1 | Pro & Farm | 925,001$ | 925,001$ | 0$ | 0$ | No | Lien | |||||||||
Andre Lee | Comets (Van) | C/LW | 22 | 2000-07-26 | Yes | 205 Lbs | 6 ft5 | No | No | No | No | 1 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | Lien | |||||||||
Brad Malone (contrat à 1 volet) | Comets (Van) | C/LW | 33 | 1989-05-20 | No | 216 Lbs | 6 ft2 | No | No | Yes | Yes | 1 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | Lien | |||||||||
Bulat Shafigullin | Comets (Van) | C | 22 | 1999-12-29 | Yes | 161 Lbs | 6 ft1 | No | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | Lien | ||||||||
Case McCarthy | Comets (Van) | D | 21 | 2001-01-09 | Yes | 198 Lbs | 6 ft1 | No | No | No | No | 3 | Pro & Farm | 650,000$ | 650,000$ | 0$ | 0$ | No | 650,000$ | 650,000$ | Lien | |||||||
Filip Hallander | Comets (Van) | C | 22 | 2000-06-29 | Yes | 190 Lbs | 6 ft1 | No | No | No | No | 2 | Pro & Farm | 764,167$ | 764,167$ | 0$ | 0$ | No | 764,167$ | Lien | ||||||||
Ivan Lodnia | Comets (Van) | RW | 23 | 1999-08-31 | Yes | 195 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 747,500$ | 747,500$ | 0$ | 0$ | No | Lien | |||||||||
Joe Snively | Comets (Van) | LW | 26 | 1996-01-01 | No | 174 Lbs | 5 ft9 | No | No | Yes | Yes | 2 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | Lien | ||||||||
Kyle Capobianco | Comets (Van) | D | 25 | 1997-08-13 | No | 201 Lbs | 6 ft2 | No | No | Yes | Yes | 3 | Pro & Farm | 1,100,000$ | 1,100,000$ | 0$ | 0$ | No | 1,100,000$ | 1,100,000$ | Lien | |||||||
Lukas Dostal | Comets (Van) | G | 22 | 2000-06-22 | Yes | 174 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 822,500$ | 822,500$ | 0$ | 0$ | No | 822,500$ | Lien | ||||||||
Maksim Sushko | Comets (Van) | RW | 23 | 1999-02-10 | No | 198 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 775,002$ | 775,002$ | 0$ | 0$ | No | Lien | |||||||||
Markus Phillips | Comets (Van) | D | 23 | 1999-03-21 | No | 202 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 796,667$ | 796,667$ | 0$ | 0$ | No | Lien | |||||||||
Mathias Laferriere | Comets (Van) | C | 22 | 2000-06-27 | Yes | 174 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | Lien | |||||||||
Matthew Villalta | Comets (Van) | G | 23 | 1999-06-03 | Yes | 165 Lbs | 6 ft3 | No | No | No | No | 2 | Pro & Farm | 620,000$ | 620,000$ | 0$ | 0$ | No | 620,000$ | Lien | ||||||||
Max Gildon | Comets (Van) | D | 23 | 1999-05-17 | No | 194 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | Lien | |||||||||
Semyon Der-Arguchintsev | Comets (Van) | C | 22 | 2000-09-15 | Yes | 161 Lbs | 5 ft10 | No | No | No | No | 2 | Pro & Farm | 766,667$ | 766,667$ | 0$ | 0$ | No | 766,667$ | Lien | ||||||||
Stanislav Demin | Comets (Van) | D | 22 | 2000-04-04 | Yes | 190 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | Lien | ||||||||
Troy Grosenick (contrat à 1 volet) | Comets (Van) | G | 33 | 1989-08-27 | No | 185 Lbs | 6 ft1 | No | No | Yes | Yes | 1 | Pro & Farm | 1,100,000$ | 1,100,000$ | 200,000$ | 200,000$ | No | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
19 | 23.79 | 184 Lbs | 6 ft1 | 1.63 | 792,325$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Joe Snively | Brad Malone | Maksim Sushko | 40 | 1 | 2 | 2 |
2 | Aleksi Heponiemi | Filip Hallander | Ivan Lodnia | 30 | 1 | 2 | 2 |
3 | Aidan Dudas | Mathias Laferriere | Semyon Der-Arguchintsev | 20 | 1 | 2 | 2 |
4 | Andre Lee | Semyon Der-Arguchintsev | Brad Malone | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Max Gildon | Markus Phillips | 40 | 1 | 2 | 2 | |
2 | Case McCarthy | Stanislav Demin | 30 | 1 | 2 | 2 | |
3 | Andre Lee | Bulat Shafigullin | 20 | 1 | 2 | 2 | |
4 | Max Gildon | Markus Phillips | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Joe Snively | Brad Malone | Maksim Sushko | 60 | 1 | 2 | 2 |
2 | Aleksi Heponiemi | Filip Hallander | Ivan Lodnia | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Max Gildon | Markus Phillips | 60 | 1 | 2 | 2 | |
2 | Case McCarthy | Stanislav Demin | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Brad Malone | Filip Hallander | 60 | 1 | 2 | 2 |
2 | Joe Snively | Aleksi Heponiemi | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Max Gildon | Markus Phillips | 60 | 1 | 2 | 2 |
2 | Case McCarthy | Stanislav Demin | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Brad Malone | 60 | 1 | 2 | 2 | Max Gildon | Markus Phillips | 60 | 1 | 2 | 2 |
2 | Filip Hallander | 40 | 1 | 2 | 2 | Case McCarthy | Stanislav Demin | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Brad Malone | Filip Hallander | 60 | 1 | 2 | 2 |
2 | Joe Snively | Aleksi Heponiemi | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Max Gildon | Markus Phillips | 60 | 1 | 2 | 2 |
2 | Case McCarthy | Stanislav Demin | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Joe Snively | Brad Malone | Maksim Sushko | Max Gildon | Markus Phillips |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Joe Snively | Brad Malone | Maksim Sushko | Max Gildon | Markus Phillips |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Mathias Laferriere, Aidan Dudas, Bulat Shafigullin | Mathias Laferriere, Aidan Dudas | Bulat Shafigullin |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Case McCarthy, Stanislav Demin, Max Gildon | Case McCarthy | Stanislav Demin, Max Gildon |
Tirs de pénalité |
---|
Brad Malone, Filip Hallander, Joe Snively, Aleksi Heponiemi, Mathias Laferriere |
Gardien |
---|
#1 : Lukas Dostal, #2 : Troy Grosenick |
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% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 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% | 0 | 0 | 0% | 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% | 0 | 0 | 0% | 0 | 0 | 0% |
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 |
---|---|---|---|---|---|---|---|---|---|---|
2 - 2023-10-11 | 8 | Oil Kings | - | Comets | - | |||||
5 - 2023-10-14 | 31 | Comets | - | Oil Kings | - | |||||
8 - 2023-10-17 | 42 | Comets | - | Phantoms | - | |||||
10 - 2023-10-19 | 55 | Comets | - | Thunder | - | |||||
12 - 2023-10-21 | 68 | Comets | - | Cabaret Lady Mary Ann | - | |||||
15 - 2023-10-24 | 95 | Comets | - | Chill | - | |||||
18 - 2023-10-27 | 116 | Chiefs | - | Comets | - | |||||
19 - 2023-10-28 | 124 | Wolf Pack | - | Comets | - | |||||
22 - 2023-10-31 | 140 | Chill | - | Comets | - | |||||
24 - 2023-11-02 | 156 | Comets | - | Sharks | - | |||||
26 - 2023-11-04 | 172 | Stars | - | Comets | - | |||||
28 - 2023-11-06 | 179 | Oil Kings | - | Comets | - | |||||
31 - 2023-11-09 | 197 | Comets | - | Senators | - | |||||
33 - 2023-11-11 | 215 | Comets | - | Marlies | - | |||||
34 - 2023-11-12 | 224 | Comets | - | Rocket | - | |||||
37 - 2023-11-15 | 241 | Sound Tigers | - | Comets | - | |||||
38 - 2023-11-16 | 247 | Comets | - | Heat | - | |||||
40 - 2023-11-18 | 265 | Seattle | - | Comets | - | |||||
42 - 2023-11-20 | 278 | Sharks | - | Comets | - | |||||
44 - 2023-11-22 | 292 | Comets | - | Monsters | - | |||||
46 - 2023-11-24 | 307 | Comets | - | Seattle | - | |||||
47 - 2023-11-25 | 313 | Comets | - | Sharks | - | |||||
50 - 2023-11-28 | 336 | Admirals | - | Comets | - | |||||
52 - 2023-11-30 | 353 | Las Vegas | - | Comets | - | |||||
54 - 2023-12-02 | 368 | Comets | - | Heat | - | |||||
57 - 2023-12-05 | 387 | Spiders | - | Comets | - | |||||
59 - 2023-12-07 | 404 | Minnesota | - | Comets | - | |||||
61 - 2023-12-09 | 419 | Caroline | - | Comets | - | |||||
64 - 2023-12-12 | 438 | Thunder | - | Comets | - | |||||
66 - 2023-12-14 | 454 | Cabaret Lady Mary Ann | - | Comets | - | |||||
68 - 2023-12-16 | 461 | Comets | - | Minnesota | - | |||||
69 - 2023-12-17 | 474 | Comets | - | Baby Hawks | - | |||||
71 - 2023-12-19 | 491 | Comets | - | Chill | - | |||||
73 - 2023-12-21 | 505 | Comets | - | Stars | - | |||||
75 - 2023-12-23 | 527 | Sharks | - | Comets | - | |||||
80 - 2023-12-28 | 543 | Phantoms | - | Comets | - | |||||
85 - 2024-01-02 | 584 | Senators | - | Comets | - | |||||
87 - 2024-01-04 | 596 | Comets | - | Chiefs | - | |||||
89 - 2024-01-06 | 612 | Comets | - | Spiders | - | |||||
91 - 2024-01-08 | 621 | Comets | - | Wolf Pack | - | |||||
92 - 2024-01-09 | 628 | Comets | - | Sound Tigers | - | |||||
94 - 2024-01-11 | 643 | Comets | - | Manchots | - | |||||
96 - 2024-01-13 | 654 | Comets | - | Crunch | - | |||||
98 - 2024-01-15 | 673 | Comets | - | Monsters | - | |||||
101 - 2024-01-18 | 700 | Jayhawks | - | Comets | - | |||||
103 - 2024-01-20 | 710 | Marlies | - | Comets | - | |||||
105 - 2024-01-22 | 728 | Baby Hawks | - | Comets | - | |||||
107 - 2024-01-24 | 744 | Chiefs | - | Comets | - | |||||
110 - 2024-01-27 | 771 | Monsters | - | Comets | - | |||||
120 - 2024-02-06 | 785 | Comets | - | Caroline | - | |||||
122 - 2024-02-08 | 794 | Comets | - | Bruins | - | |||||
124 - 2024-02-10 | 805 | Comets | - | Cougars | - | |||||
125 - 2024-02-11 | 818 | Comets | - | Bears | - | |||||
127 - 2024-02-13 | 832 | Comets | - | Baby Hawks | - | |||||
129 - 2024-02-15 | 848 | Cougars | - | Comets | - | |||||
131 - 2024-02-17 | 860 | Oceanics | - | Comets | - | |||||
133 - 2024-02-19 | 869 | Comets | - | Minnesota | - | |||||
134 - 2024-02-20 | 881 | Comets | - | Monsters | - | |||||
136 - 2024-02-22 | 897 | Comets | - | Seattle | - | |||||
138 - 2024-02-24 | 907 | Bruins | - | Comets | - | |||||
141 - 2024-02-27 | 937 | Manchots | - | Comets | - | |||||
143 - 2024-02-29 | 951 | Monarchs | - | Comets | - | |||||
146 - 2024-03-03 | 973 | Comets | - | Admirals | - | |||||
148 - 2024-03-05 | 988 | Comets | - | Monarchs | - | |||||
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée! | ||||||||||
150 - 2024-03-07 | 1002 | Comets | - | Las Vegas | - | |||||
152 - 2024-03-09 | 1019 | Oceanics | - | Comets | - | |||||
156 - 2024-03-13 | 1044 | Monsters | - | Comets | - | |||||
159 - 2024-03-16 | 1071 | Bears | - | Comets | - | |||||
162 - 2024-03-19 | 1093 | Crunch | - | Comets | - | |||||
164 - 2024-03-21 | 1106 | Rocket | - | Comets | - | |||||
166 - 2024-03-23 | 1120 | Heat | - | Comets | - | |||||
168 - 2024-03-25 | 1135 | Monarchs | - | Comets | - | |||||
171 - 2024-03-28 | 1163 | Stars | - | Comets | - | |||||
174 - 2024-03-31 | 1180 | Admirals | - | Comets | - | |||||
176 - 2024-04-02 | 1196 | Comets | - | Las Vegas | - | |||||
177 - 2024-04-03 | 1200 | Comets | - | Jayhawks | - | |||||
180 - 2024-04-06 | 1226 | Comets | - | Monarchs | - | |||||
182 - 2024-04-08 | 1238 | Las Vegas | - | Comets | - | |||||
184 - 2024-04-10 | 1254 | Jayhawks | - | Comets | - | |||||
187 - 2024-04-13 | 1280 | Comets | - | Oil Kings | - | |||||
190 - 2024-04-16 | 1302 | Heat | - | Comets | - | |||||
192 - 2024-04-18 | 1308 | Comets | - | Oceanics | - |
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 50 | 20 |
Assistance | 0% | 0% |
Assistance PCT | 0% | 0% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
41 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
0$ | 1,335,418$ | 1,335,418$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
6,955$ | 0$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 192 | 6,955$ | 1,335,360$ |
# | 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 |
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Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|