Flames | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Sebastien Tessier | Morale : 50 | Moyenne d'Équipe : N/A |
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 | Adam Brooks | X | 100.00 | 68 | 63 | 81 | 63 | 63 | 65 | 66 | 62 | 78 | 59 | 62 | 61 | 59 | 44 | 44 | 63 | 50 | 0 | 0 | 24 | 2 | 925,000$ | ||||
2 | Brendan Perlini | X | X | 100.00 | 67 | 43 | 91 | 84 | 79 | 57 | 71 | 65 | 25 | 58 | 56 | 61 | 75 | 64 | 64 | 62 | 50 | 0 | 0 | 24 | 1 | 1,999,999$ | |||
3 | Colin White (A) | X | X | 100.00 | 71 | 52 | 81 | 81 | 67 | 70 | 84 | 76 | 77 | 71 | 60 | 58 | 53 | 64 | 64 | 66 | 50 | 0 | 0 | 23 | 1 | 750,000$ | |||
4 | Drake Batherson | X | X | 100.00 | 87 | 75 | 83 | 77 | 71 | 70 | 90 | 76 | 54 | 75 | 64 | 57 | 25 | 47 | 47 | 69 | 45 | 0 | 0 | 22 | 2 | 773,333$ | |||
5 | Jacob de La Rose | X | X | 100.00 | 89 | 46 | 93 | 77 | 79 | 57 | 72 | 60 | 62 | 62 | 56 | 78 | 25 | 64 | 65 | 65 | 53 | 0 | 0 | 25 | 1 | 750,000$ | |||
6 | Owen Tippett (R) | X | X | 100.00 | 81 | 78 | 88 | 67 | 78 | 66 | 67 | 66 | 50 | 62 | 66 | 68 | 63 | 44 | 44 | 68 | 48 | 0 | 0 | 21 | 1 | 1,627,500$ | |||
7 | Emil Bemstrom (R) | X | 100.00 | 73 | 42 | 95 | 82 | 65 | 62 | 69 | 68 | 34 | 64 | 71 | 54 | 25 | 50 | 50 | 68 | 50 | 0 | 0 | 21 | 3 | 2,133,333$ | ||||
8 | Jaret Anderson-Dolan (R) | X | X | 100.00 | 72 | 67 | 83 | 79 | 67 | 63 | 64 | 59 | 74 | 59 | 54 | 62 | 51 | 44 | 44 | 61 | 50 | 0 | 0 | 20 | 3 | 913,333$ | |||
9 | Nic Petan | X | X | X | 100.00 | 63 | 41 | 91 | 79 | 62 | 58 | 57 | 69 | 32 | 65 | 55 | 66 | 25 | 59 | 59 | 63 | 50 | 0 | 0 | 25 | 1 | 500,000$ | ||
10 | Riley Tufte (R) | X | 100.00 | 85 | 88 | 78 | 61 | 88 | 62 | 65 | 51 | 50 | 51 | 46 | 66 | 44 | 44 | 44 | 56 | 50 | 0 | 0 | 22 | 3 | 995,833$ | ||||
11 | Carson Soucy | X | 100.00 | 78 | 45 | 89 | 64 | 79 | 67 | 78 | 59 | 25 | 50 | 54 | 78 | 25 | 59 | 60 | 63 | 49 | 0 | 0 | 25 | 3 | 775,000$ | ||||
12 | Greg Pateryn | X | 100.00 | 78 | 45 | 90 | 71 | 82 | 67 | 68 | 56 | 25 | 51 | 47 | 84 | 25 | 64 | 65 | 62 | 47 | 0 | 0 | 30 | 1 | 800,000$ | ||||
13 | Parker Wotherspoon (R) | X | 100.00 | 63 | 62 | 64 | 63 | 62 | 76 | 83 | 52 | 25 | 49 | 41 | 56 | 39 | 44 | 44 | 53 | 50 | 0 | 0 | 22 | 3 | 854,722$ | ||||
14 | Chris Bigras | X | 100.00 | 75 | 71 | 83 | 63 | 71 | 60 | 63 | 54 | 25 | 49 | 41 | 65 | 39 | 57 | 57 | 55 | 50 | 0 | 0 | 25 | 3 | 700,000$ | ||||
15 | Madison Bowey | X | 100.00 | 75 | 44 | 81 | 77 | 73 | 74 | 69 | 62 | 25 | 60 | 48 | 75 | 25 | 57 | 57 | 63 | 50 | 0 | 0 | 25 | 1 | 902,500$ | ||||
16 | Haydn Fleury | X | 100.00 | 76 | 45 | 93 | 72 | 82 | 62 | 64 | 58 | 25 | 56 | 50 | 72 | 75 | 58 | 59 | 62 | 50 | 0 | 0 | 23 | 2 | 1,713,333$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D'ÉQUIPE | 100.00 | 75 | 57 | 85 | 73 | 73 | 65 | 71 | 62 | 43 | 59 | 54 | 66 | 42 | 54 | 54 | 62 | 50 | 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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Carter Hutton | 100.00 | 65 | 73 | 72 | 76 | 72 | 58 | 57 | 65 | 63 | 65 | 71 | 64 | 65 | 65 | 50 | 0 | 0 | |
2 | Thatcher Demko | 100.00 | 66 | 58 | 56 | 81 | 65 | 66 | 68 | 67 | 75 | 66 | 75 | 47 | 47 | 66 | 46 | 0 | 0 | |
Rayé | ||||||||||||||||||||
1 | Filip Gustavsson | 100.00 | 50 | 57 | 71 | 72 | 47 | 52 | 50 | 55 | 50 | 50 | 30 | 44 | 44 | 51 | 44 | 0 | 0 | |
MOYENNE D'ÉQUIPE | 100.00 | 60 | 63 | 66 | 76 | 61 | 59 | 58 | 62 | 63 | 60 | 59 | 52 | 52 | 61 | 47 | 0 |
Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Jeremy Colliton | 77 | 76 | 89 | 86 | 51 | 48 | 90 | CAN | 37 | 3 | 1,750,000$ |
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 |
---|
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 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Brooks | Flames (CGY) | C | 24 | 1996-05-06 | No | 174 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 925,000$ | 450,000$ | 0$ | 0$ | No | 925,000$ | Lien | ||||||||||
Brendan Perlini | Flames (CGY) | LW/RW | 24 | 1996-04-27 | No | 212 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 1,999,999$ | 1,999,999$ | 0$ | 0$ | No | Lien | |||||||||||
Carson Soucy | Flames (CGY) | D | 25 | 1994-07-27 | No | 208 Lbs | 6 ft5 | No | No | No | 3 | Pro & Farm | 775,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | Lien | |||||||||
Carter Hutton | Flames (CGY) | G | 34 | 1985-12-18 | No | 202 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 2,750,000$ | 2,750,000$ | 0$ | 0$ | No | Lien | |||||||||||
Chris Bigras | Flames (CGY) | D | 25 | 1995-02-22 | No | 190 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | 700,000$ | Lien | |||||||||
Colin White | Flames (CGY) | C/RW | 23 | 1997-01-30 | No | 183 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien | |||||||||||
Drake Batherson | Flames (CGY) | C/RW | 22 | 1998-04-26 | No | 187 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 773,333$ | 773,333$ | 0$ | 0$ | No | 773,333$ | Lien | ||||||||||
Emil Bemstrom | Flames (CGY) | C | 21 | 1999-06-01 | Yes | 181 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 2,133,333$ | 1,633,333$ | 0$ | 0$ | No | 1,633,333$ | 1,633,333$ | Lien | |||||||||
Filip Gustavsson | Flames (CGY) | G | 22 | 1998-06-07 | No | 184 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 910,833$ | 450,000$ | 0$ | 0$ | No | 910,833$ | Lien | ||||||||||
Greg Pateryn | Flames (CGY) | D | 30 | 1990-06-20 | No | 224 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | Lien | |||||||||||
Haydn Fleury | Flames (CGY) | D | 23 | 1996-07-08 | No | 221 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 1,713,333$ | 1,713,333$ | 0$ | 0$ | No | 1,713,333$ | Lien | ||||||||||
Jacob de La Rose | Flames (CGY) | C/LW | 25 | 1995-05-19 | No | 210 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien | |||||||||||
Jaret Anderson-Dolan | Flames (CGY) | C/LW | 20 | 1999-09-11 | Yes | 188 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 913,333$ | 913,333$ | 0$ | 0$ | No | 913,333$ | 913,333$ | ||||||||||
Madison Bowey | Flames (CGY) | D | 25 | 1995-04-22 | No | 198 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 902,500$ | 902,500$ | 0$ | 0$ | No | Lien | |||||||||||
Nic Petan | Flames (CGY) | C/LW/RW | 25 | 1995-03-21 | No | 179 Lbs | 5 ft9 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | Lien | |||||||||||
Owen Tippett | Flames (CGY) | LW/RW | 21 | 1999-02-15 | Yes | 216 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 1,627,500$ | 450,000$ | 0$ | 0$ | No | Lien | |||||||||||
Parker Wotherspoon | Flames (CGY) | D | 22 | 1997-08-24 | Yes | 168 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 854,722$ | 854,722$ | 0$ | 0$ | No | 854,722$ | 854,722$ | ||||||||||
Riley Tufte | Flames (CGY) | LW | 22 | 1998-04-09 | Yes | 230 Lbs | 6 ft6 | No | No | No | 3 | Pro & Farm | 995,833$ | 995,833$ | 0$ | 0$ | No | 995,833$ | 995,833$ | ||||||||||
Thatcher Demko | Flames (CGY) | G | 24 | 1995-12-07 | No | 192 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 1,050,000$ | 1,050,000$ | 0$ | 0$ | No | 1,050,000$ | 1,050,000$ | Lien |
Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
---|---|---|---|---|---|
19 | 24.05 | 197 Lbs | 6 ft1 | 1.95 | 1,148,669$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Owen Tippett | Colin White | Drake Batherson | 35 | 1 | 2 | 2 |
2 | Jaret Anderson-Dolan | Emil Bemstrom | 30 | 1 | 2 | 2 | |
3 | Nic Petan | Jacob de La Rose | Brendan Perlini | 25 | 1 | 2 | 2 |
4 | Riley Tufte | Adam Brooks | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Carson Soucy | Greg Pateryn | 35 | 1 | 2 | 2 | |
2 | Madison Bowey | Haydn Fleury | 30 | 1 | 2 | 2 | |
3 | Chris Bigras | Parker Wotherspoon | 25 | 1 | 2 | 2 | |
4 | Greg Pateryn | Madison Bowey | 10 | 1 | 2 | 2 |
Attaque en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Drake Batherson | Colin White | Owen Tippett | 60 | 1 | 2 | 2 |
2 | Brendan Perlini | Emil Bemstrom | 40 | 1 | 2 | 2 |
Défense en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Carson Soucy | Greg Pateryn | 60 | 1 | 2 | 2 | |
2 | Madison Bowey | Haydn Fleury | 40 | 1 | 2 | 2 |
Attaque à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Jacob de La Rose | Drake Batherson | 60 | 1 | 2 | 2 |
2 | Adam Brooks | Riley Tufte | 40 | 1 | 2 | 2 |
Défense à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Carson Soucy | Greg Pateryn | 60 | 1 | 2 | 2 |
2 | Madison Bowey | Haydn Fleury | 40 | 1 | 2 | 2 |
3 joueurs en Désavantage Numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % Temps | PHY | DF | OF | Défense | Défense | % Temps | PHY | DF | OF |
1 | Jacob de La Rose | 60 | 1 | 2 | 2 | Carson Soucy | Greg Pateryn | 60 | 1 | 2 | 2 |
2 | Adam Brooks | 40 | 1 | 2 | 2 | Madison Bowey | Haydn Fleury | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Colin White | Drake Batherson | 60 | 1 | 2 | 2 |
2 | Jacob de La Rose | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Haydn Fleury | Greg Pateryn | 60 | 1 | 2 | 2 |
2 | Madison Bowey | Carson Soucy | 40 | 1 | 2 | 2 |
Attaque Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Drake Batherson | Colin White | Owen Tippett | Carson Soucy | Greg Pateryn |
Défense Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Riley Tufte | Jacob de La Rose | Brendan Perlini | Carson Soucy | Greg Pateryn |
Attaquants Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Jaret Anderson-Dolan, Riley Tufte, Brendan Perlini | Jaret Anderson-Dolan, Riley Tufte | Brendan Perlini |
Défenseurs Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Chris Bigras, Parker Wotherspoon, Madison Bowey | Chris Bigras | Parker Wotherspoon, Madison Bowey |
Tirs de Pénalité |
---|
Brendan Perlini, Drake Batherson, Haydn Fleury, Colin White, Jaret Anderson-Dolan |
Gardien |
---|
#1 : Thatcher Demko, #2 : Carter Hutton |
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 |
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 Pénalité | Mises en Échec | Buts en Filet Désert | Blanchissage |
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 Éxtérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
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 |
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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% |
Revenus | |||||
---|---|---|---|---|---|
Matchs à domicile Restants | Assistance Moyenne - % | Revenus Moyen par Match | Revenus Annuels à ce Jour | Capacité | Popularité de l'Équipe | 0 | 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 |
0$ | 2,182,470$ | 1,918,637$ | 0$ |
Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Éstimation | |||
---|---|---|---|
Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
0$ | 0 | 0$ | 0$ |
Ligue | 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 |
Saison Régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2020 | 82 | 37 | 29 | 0 | 2 | 1 | 4 | 9 | 183 | 180 | 3 | 41 | 19 | 14 | 0 | 2 | 0 | 3 | 3 | 99 | 87 | 12 | 41 | 18 | 15 | 0 | 0 | 1 | 1 | 6 | 84 | 93 | -9 | 96 | 183 | 305 | 488 | 1 | 7 | 68 | 60 | 49 | 17 | 1441 | 485 | 486 | 460 | 61 | 1462 | 399 | 1148 | 1461 | 494 | 58 | 11.74% | 496 | 58 | 88.31% | 2 | 1119 | 2200 | 50.86% | 1138 | 2185 | 52.08% | 571 | 1113 | 51.30% | 2054 | 1422 | 1920 | 620 | 1019 | 514 |
Total Saison Régulière | 82 | 37 | 29 | 0 | 2 | 1 | 4 | 9 | 183 | 180 | 3 | 41 | 19 | 14 | 0 | 2 | 0 | 3 | 3 | 99 | 87 | 12 | 41 | 18 | 15 | 0 | 0 | 1 | 1 | 6 | 84 | 93 | -9 | 96 | 183 | 305 | 488 | 1 | 7 | 68 | 60 | 49 | 17 | 1441 | 485 | 486 | 460 | 61 | 1462 | 399 | 1148 | 1461 | 494 | 58 | 11.74% | 496 | 58 | 88.31% | 2 | 1119 | 2200 | 50.86% | 1138 | 2185 | 52.08% | 571 | 1113 | 51.30% | 2054 | 1422 | 1920 | 620 | 1019 | 514 |