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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Riley Sheahan | 0 | X | 100.00 | 61 | 43 | 89 | 63 | 86 | 73 | 88 | 64 | 82 | 61 | 63 | 80 | 62 | 77 | 67 | 65 | 99 | 71 | 0 | 28 | 3 | 1,500,000$ | ||||
2 | Warren Foegele | 0 | X | 100.00 | 79 | 41 | 83 | 67 | 80 | 73 | 87 | 65 | 56 | 63 | 66 | 71 | 64 | 67 | 65 | 63 | 99 | 71 | 0 | 24 | 1 | 2,100,000$ | ||||
3 | Tyler Motte | 0 | X | 100.00 | 93 | 39 | 89 | 66 | 69 | 73 | 79 | 62 | 56 | 61 | 63 | 79 | 64 | 69 | 65 | 56 | 99 | 70 | 0 | 25 | 2 | 800,000$ | ||||
4 | Julien Gauthier | 0 | X | 100.00 | 69 | 49 | 87 | 65 | 92 | 78 | 80 | 64 | 56 | 61 | 63 | 62 | 64 | 65 | 63 | 81 | 99 | 69 | 0 | 22 | 3 | 850,000$ | ||||
5 | Christian Fischer | 0 | X | 100.00 | 86 | 45 | 84 | 62 | 83 | 77 | 82 | 61 | 53 | 56 | 63 | 58 | 62 | 65 | 64 | 77 | 99 | 68 | 0 | 23 | 4 | 900,000$ | ||||
6 | Evgeny Svechnikov | 0 | X | X | 100.00 | 65 | 49 | 84 | 60 | 85 | 74 | 72 | 57 | 52 | 58 | 59 | 60 | 59 | 67 | 64 | 81 | 99 | 65 | 0 | 23 | 3 | 850,000$ | |||
7 | Chris Bigras | 0 | X | 100.00 | 61 | 48 | 86 | 60 | 76 | 82 | 81 | 58 | 30 | 59 | 53 | 56 | 46 | 69 | 65 | 74 | 99 | 65 | 0 | 25 | 3 | 750,000$ | ||||
8 | Ville Pokka | 0 | X | 100.00 | 62 | 42 | 72 | 50 | 73 | 55 | 86 | 58 | 30 | 47 | 37 | 60 | 54 | 50 | 50 | 75 | 99 | 56 | 0 | 26 | 4 | 1,000,000$ | ||||
Rayé | ||||||||||||||||||||||||||||||
MOYENNE D'ÉQUIPE | 100.00 | 72 | 45 | 84 | 62 | 81 | 73 | 82 | 61 | 52 | 58 | 58 | 66 | 59 | 66 | 63 | 72 | 99 | 67 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Rayé | ||||||||||||||||||||
MOYENNE D'ÉQUIPE | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Dave Cameron | 67 | 67 | 67 | 67 | 80 | 80 | 48 | CAN | 62 | 3 | 400,000$ |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du Joueur | Nom de l'Équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Evgeny Svechnikov | SAN DIEGO Gulls (ANH) | LW/RW | 2 | 4 | 1 | 5 | 1 | 0 | 0 | 2 | 2 | 11 | 4 | 11 | 36.36% | 9 | 46 | 23.42 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 32.00% | 25 | 3 | 0 | 0 | 1 | 2.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2 | Julien Gauthier | SAN DIEGO Gulls (ANH) | RW | 2 | 2 | 1 | 3 | -5 | 0 | 0 | 3 | 3 | 12 | 4 | 8 | 16.67% | 5 | 52 | 26.13 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.15 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
3 | Chris Bigras | SAN DIEGO Gulls (ANH) | D | 2 | 0 | 1 | 1 | -3 | 0 | 0 | 4 | 1 | 3 | 2 | 2 | 0.00% | 4 | 39 | 19.77 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 2 | 0 | 0 | 0 | 0.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4 | Ville Pokka | SAN DIEGO Gulls (ANH) | D | 2 | 0 | 1 | 1 | -3 | 4 | 0 | 5 | 4 | 1 | 0 | 0 | 0.00% | 7 | 38 | 19.43 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Stats d'équipe Total ou en Moyenne | 8 | 6 | 4 | 10 | -10 | 4 | 0 | 14 | 10 | 27 | 10 | 21 | 22.22% | 25 | 177 | 22.19 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 2 | 8 | 0 | 0 | 32.00% | 25 | 5 | 1 | 0 | 1 | 1.13 | 0 | 0 | 0 | 0 | 0 | 1 | 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 |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Stats d'équipe Total ou en Moyenne | 0.000 | 0.00 | 0 | 0.000 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Nom du Joueur | Nom de l'Équipe | POS | Âge | Date de Naissance | Nouveau Joueur | Poids | Taille | Non-Échange | Disponible pour Échange | Ballotage Forcé | Contrat | Type | Salaire Actuel | Salaire Restant | Salaire Moyen | Salaire Moyen Restant | Cap Salariale | Cap Salariale Restant | Exclus du Cap Salarial | Salaire Année 2 | Salaire Année 3 | Salaire Année 4 | Salaire Année 5 | Salaire Année 6 | Salaire Année 7 | Salaire Année 8 | Salaire Année 9 | Salaire Année 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Chris Bigras | SAN DIEGO Gulls (ANH) | D | 25 | 2/22/1995 | No | 87 Kg | 185 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 737,288$ | 750,000$ | 737,288$ | 0$ | 0$ | No | 750,000$ | 750,000$ | Lien | |||||||
Christian Fischer | SAN DIEGO Gulls (ANH) | RW | 23 | 4/15/1997 | No | 97 Kg | 188 CM | No | No | No | 4 | Pro & Farm | 900,000$ | 884,746$ | 750,000$ | 737,288$ | 0$ | 0$ | No | 900,000$ | 900,000$ | 900,000$ | Lien | ||||||
Evgeny Svechnikov | SAN DIEGO Gulls (ANH) | LW/RW | 23 | 10/31/1996 | No | 95 Kg | 191 CM | No | No | No | 3 | Pro & Farm | 850,000$ | 835,593$ | 850,000$ | 835,593$ | 0$ | 0$ | No | 850,000$ | 850,000$ | Lien | |||||||
Julien Gauthier | SAN DIEGO Gulls (ANH) | RW | 22 | 10/15/1997 | No | 103 Kg | 193 CM | No | No | No | 3 | Pro & Farm | 850,000$ | 835,593$ | 850,000$ | 835,593$ | 0$ | 0$ | No | 850,000$ | 850,000$ | Lien | |||||||
Riley Sheahan | SAN DIEGO Gulls (ANH) | C | 28 | 12/7/1991 | No | 97 Kg | 191 CM | No | No | No | 3 | Pro & Farm | 1,500,000$ | 1,474,576$ | 1,500,000$ | 1,474,576$ | 0$ | 0$ | No | 1,500,000$ | 1,500,000$ | Lien | |||||||
Tyler Motte | SAN DIEGO Gulls (ANH) | LW | 25 | 3/10/1995 | No | 87 Kg | 178 CM | No | No | No | 2 | Pro & Farm | 800,000$ | 786,441$ | 800,000$ | 786,441$ | 0$ | 0$ | No | 800,000$ | Lien | ||||||||
Ville Pokka | SAN DIEGO Gulls (ANH) | D | 26 | 3/6/1994 | No | 94 Kg | 183 CM | No | No | No | 4 | Pro & Farm | 1,000,000$ | 983,051$ | 1,000,000$ | 983,051$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | 1,000,000$ | Lien | ||||||
Warren Foegele | SAN DIEGO Gulls (ANH) | LW | 24 | 4/1/1996 | No | 90 Kg | 188 CM | No | No | No | 1 | Pro & Farm | 2,100,000$ | 2,064,407$ | 750,000$ | 737,288$ | 0$ | 0$ | No | Lien |
Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
---|---|---|---|---|---|
8 | 24.50 | 94 Kg | 188 CM | 2.88 | 1,093,750$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Julien Gauthier | 31 | 1 | 2 | 2 | ||
2 | Evgeny Svechnikov | 26 | 1 | 2 | 2 | ||
3 | Julien Gauthier | 23 | 1 | 2 | 2 | ||
4 | Evgeny Svechnikov | 20 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Chris Bigras | Ville Pokka | 31 | 1 | 2 | 2 | |
2 | 26 | 1 | 2 | 2 | |||
3 | Chris Bigras | Ville Pokka | 23 | 1 | 2 | 2 | |
4 | 20 | 1 | 2 | 2 |
Attaque en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Julien Gauthier | 55 | 1 | 2 | 2 | ||
2 | Evgeny Svechnikov | 45 | 1 | 2 | 2 |
Défense en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Chris Bigras | Ville Pokka | 55 | 1 | 2 | 2 | |
2 | 45 | 1 | 2 | 2 |
Attaque à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Julien Gauthier | 55 | 1 | 2 | 2 | |
2 | Evgeny Svechnikov | 45 | 1 | 2 | 2 |
Défense à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Chris Bigras | Ville Pokka | 55 | 1 | 2 | 2 |
2 | 45 | 1 | 2 | 2 |
3 joueurs en Désavantage Numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % Temps | PHY | DF | OF | Défense | Défense | % Temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | Chris Bigras | Ville Pokka | 55 | 1 | 2 | 2 | |
2 | Julien Gauthier | 45 | 1 | 2 | 2 | 45 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Julien Gauthier | 55 | 1 | 2 | 2 | |
2 | Evgeny Svechnikov | 45 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Chris Bigras | Ville Pokka | 55 | 1 | 2 | 2 |
2 | 45 | 1 | 2 | 2 |
Attaque Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Julien Gauthier | Chris Bigras | Ville Pokka |
Défense Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Julien Gauthier | Chris Bigras | Ville Pokka |
Attaquants Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
, Evgeny Svechnikov, | , Evgeny Svechnikov |
Défenseurs Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Chris Bigras, Ville Pokka, | Chris Bigras | Ville Pokka, |
Tirs de Pénalité |
---|
, Julien Gauthier, , Evgeny Svechnikov, |
Gardien |
---|
#1 : , #2 : |
Lignes d'Attaque Perso. en Prol. |
---|
, Julien Gauthier, , Evgeny Svechnikov, , , , , , , |
Lignes de Défense Perso. en Prol. |
---|
Chris Bigras, Ville Pokka, , , |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Ligue | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
1 | ROCKFORD IceHogs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | -9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 4 | 2 | 2 | 0 | 33 | 28 | 19 | 7 | 0 | 63 | 17 | 8 | 15 | 2 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 8 | 25 | 32.00% | 7 | 41 | 17.07% | 8 | 51 | 15.69% | 25 | 14 | 65 | 16 | 28 | 11 |
2 | SAN ANTONIO Rampage | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 4 | 2 | 2 | 0 | 21 | 28 | 19 | 7 | 0 | 58 | 20 | 2 | 9 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 8 | 25 | 32.00% | 7 | 41 | 17.07% | 8 | 51 | 15.69% | 25 | 14 | 65 | 16 | 28 | 11 |
Total | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 19 | -11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 8 | 14 | 22 | 0 | 0 | 4 | 2 | 2 | 0 | 54 | 28 | 19 | 7 | 0 | 121 | 37 | 10 | 24 | 2 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 8 | 25 | 32.00% | 7 | 41 | 17.07% | 8 | 51 | 15.69% | 25 | 14 | 65 | 16 | 28 | 11 | |
_Since Last GM Reset | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 19 | -11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 8 | 14 | 22 | 0 | 0 | 4 | 2 | 2 | 0 | 54 | 28 | 19 | 7 | 0 | 121 | 37 | 10 | 24 | 2 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 8 | 25 | 32.00% | 7 | 41 | 17.07% | 8 | 51 | 15.69% | 25 | 14 | 65 | 16 | 28 | 11 | |
_Vs Conference | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 19 | -11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 8 | 14 | 22 | 0 | 0 | 4 | 2 | 2 | 0 | 54 | 28 | 19 | 7 | 0 | 121 | 37 | 10 | 24 | 2 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 8 | 25 | 32.00% | 7 | 41 | 17.07% | 8 | 51 | 15.69% | 25 | 14 | 65 | 16 | 28 | 11 | |
_Vs Division | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 19 | -11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 8 | 14 | 22 | 0 | 0 | 4 | 2 | 2 | 0 | 54 | 28 | 19 | 7 | 0 | 121 | 37 | 10 | 24 | 2 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 8 | 25 | 32.00% | 7 | 41 | 17.07% | 8 | 51 | 15.69% | 25 | 14 | 65 | 16 | 28 | 11 |
Total Pour les Joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs Joués | Points | Séquence | Buts | Passes | Points | Tirs Pour | Tirs Contre | Tirs Bloqués | Minutes de Pénalité | Mises en Échec | Buts en Filet Désert | Blanchissage |
2 | 0 | L2 | 8 | 14 | 22 | 54 | 121 | 37 | 10 | 24 | 0 | 0 |
Tous les Matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 0 | 2 | 0 | 0 | 0 | 0 | 8 | 19 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
1 | 0 | 1 | 0 | 0 | 0 | 0 | 4 | 13 |
Matchs Éxtérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
1 | 0 | 1 | 0 | 0 | 0 | 0 | 4 | 6 |
Derniers 10 Matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 2 | 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 |
---|---|---|---|---|---|---|
2 | 0 | 0.00% | 5 | 3 | 40.00% | 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 |
---|---|---|---|---|---|---|---|
28 | 19 | 7 | 0 | 4 | 2 | 2 | 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 |
8 | 25 | 32.00% | 7 | 41 | 17.07% | 8 | 51 | 15.69% |
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 |
25 | 14 | 65 | 16 | 28 | 11 |
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 |
Capacité de l'Aréna - Tendance du Prix des Billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité de l'Aréna | 2000 | 1000 |
Prix des Billets | 35 | 15 |
Assistance | 0 | 0 |
Assistance PCT | 0.00% | 0.00% |
Revenus | |||||
---|---|---|---|---|---|
Matchs à domicile Restants | Assistance Moyenne - % | Revenus Moyen par Match | Revenus Annuels à ce Jour | Capacité de l'Aréna | Popularité de l'Équipe |
39 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses Annuelles à Ce Jour | Salaire Total des Joueurs | Salaire Total Moyen des Joueurs | Salaire des Coachs |
14,830$ | 875,000$ | 725,000$ | 0$ |
Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
---|---|---|---|
0$ | 14,830$ | 0 | 0 |
Éstimation | |||
---|---|---|---|
Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
0$ | 116 | 7,415$ | 860,140$ |
Ligue | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
Saison Régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
34 | 80 | 0 | 80 | 0 | 0 | 0 | 0 | 0 | 124 | 743 | -619 | 40 | 0 | 40 | 0 | 0 | 0 | 0 | 0 | 62 | 362 | -300 | 40 | 0 | 40 | 0 | 0 | 0 | 0 | 0 | 62 | 381 | -319 | 0 | 124 | 192 | 316 | 0 | 0 | 45 | 48 | 31 | 0 | 1321 | 437 | 442 | 442 | 0 | 4956 | 1438 | 217 | 886 | 159 | 18 | 11.32% | 92 | 44 | 52.17% | 0 | 283 | 1438 | 19.68% | 360 | 2113 | 17.04% | 271 | 1589 | 17.05% | 989 | 649 | 2975 | 531 | 835 | 314 |
34 | 80 | 0 | 80 | 0 | 0 | 0 | 0 | 0 | 124 | 743 | -619 | 40 | 0 | 40 | 0 | 0 | 0 | 0 | 0 | 62 | 362 | -300 | 40 | 0 | 40 | 0 | 0 | 0 | 0 | 0 | 62 | 381 | -319 | 0 | 124 | 192 | 316 | 0 | 0 | 45 | 48 | 31 | 0 | 1321 | 437 | 442 | 442 | 0 | 4956 | 1438 | 217 | 886 | 159 | 18 | 11.32% | 92 | 44 | 52.17% | 0 | 283 | 1438 | 19.68% | 360 | 2113 | 17.04% | 271 | 1589 | 17.05% | 989 | 649 | 2975 | 531 | 835 | 314 |
36 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 19 | -11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 8 | 14 | 22 | 0 | 0 | 4 | 2 | 2 | 0 | 54 | 28 | 19 | 7 | 0 | 121 | 37 | 10 | 24 | 2 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 8 | 25 | 32.00% | 7 | 41 | 17.07% | 8 | 51 | 15.69% | 25 | 14 | 65 | 16 | 28 | 11 |
Total Saison Régulière | 162 | 0 | 162 | 0 | 0 | 0 | 0 | 0 | 256 | 1505 | -1249 | 81 | 0 | 81 | 0 | 0 | 0 | 0 | 0 | 128 | 737 | -609 | 81 | 0 | 81 | 0 | 0 | 0 | 0 | 0 | 128 | 768 | -640 | 0 | 256 | 398 | 654 | 0 | 0 | 94 | 98 | 64 | 0 | 2696 | 902 | 903 | 891 | 0 | 10033 | 2913 | 444 | 1796 | 320 | 36 | 11.25% | 189 | 91 | 51.85% | 0 | 574 | 2901 | 19.79% | 727 | 4267 | 17.04% | 550 | 3229 | 17.03% | 2003 | 1313 | 6015 | 1080 | 1700 | 640 |