Stars | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Éric Pilon | 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 | Alex Dostie (R) | X | 100.00 | 71 | 60 | 96 | 63 | 60 | 59 | 60 | 57 | 71 | 45 | 63 | 64 | 60 | 55 | 55 | 62 | 50 | 0 | 0 | 23 | 3 | 925,000$ | ||||
2 | Justin Dowling | X | X | X | 100.00 | 73 | 43 | 90 | 70 | 66 | 57 | 70 | 68 | 52 | 60 | 59 | 69 | 25 | 51 | 52 | 64 | 50 | 0 | 0 | 29 | 1 | 650,000$ | ||
3 | Warren Foegele | X | X | 100.00 | 73 | 43 | 85 | 67 | 72 | 65 | 90 | 59 | 41 | 70 | 71 | 71 | 25 | 59 | 60 | 71 | 44 | 0 | 0 | 24 | 1 | 746,667$ | |||
4 | Nic Dowd | X | X | 100.00 | 86 | 45 | 85 | 77 | 73 | 57 | 77 | 61 | 82 | 62 | 64 | 81 | 25 | 62 | 63 | 69 | 10 | 0 | 0 | 30 | 2 | 650,000$ | |||
5 | Adam Erne | X | X | 100.00 | 90 | 46 | 85 | 72 | 77 | 61 | 78 | 65 | 57 | 55 | 56 | 66 | 75 | 60 | 61 | 64 | 50 | 0 | 0 | 25 | 1 | 894,167$ | |||
6 | Tom Kuhnhackl | X | X | 100.00 | 76 | 44 | 97 | 77 | 73 | 59 | 56 | 58 | 25 | 60 | 60 | 74 | 25 | 60 | 63 | 65 | 50 | 0 | 0 | 28 | 2 | 700,000$ | |||
7 | Tomas Nosek | X | X | 100.00 | 79 | 45 | 90 | 69 | 79 | 59 | 85 | 59 | 74 | 60 | 62 | 72 | 25 | 60 | 62 | 67 | 50 | 0 | 0 | 27 | 2 | 962,500$ | |||
8 | Victor Rask | X | X | X | 100.00 | 67 | 43 | 95 | 72 | 75 | 56 | 64 | 62 | 66 | 65 | 62 | 58 | 36 | 67 | 67 | 64 | 46 | 0 | 0 | 27 | 1 | 1,000,000$ | ||
9 | Dominik Simon (A) | X | X | 100.00 | 73 | 43 | 93 | 77 | 69 | 67 | 85 | 62 | 37 | 68 | 60 | 56 | 25 | 63 | 64 | 65 | 50 | 0 | 0 | 25 | 4 | 750,000$ | |||
10 | Matthew Strome (R) | X | 100.00 | 82 | 78 | 92 | 55 | 78 | 61 | 64 | 49 | 50 | 45 | 48 | 64 | 46 | 44 | 44 | 56 | 50 | 0 | 0 | 21 | 3 | 879,167$ | ||||
11 | Remi Elie | X | 100.00 | 81 | 77 | 90 | 60 | 77 | 57 | 58 | 56 | 50 | 47 | 60 | 66 | 57 | 47 | 47 | 61 | 50 | 0 | 0 | 25 | 3 | 450,000$ | ||||
12 | Alex Petrovic (R) | X | 100.00 | 83 | 81 | 86 | 62 | 81 | 60 | 63 | 51 | 25 | 47 | 40 | 65 | 38 | 44 | 44 | 54 | 49 | 0 | 0 | 28 | 1 | 1,050,000$ | ||||
13 | Connor Hobbs | X | 100.00 | 72 | 69 | 80 | 59 | 69 | 55 | 58 | 45 | 25 | 32 | 41 | 61 | 39 | 53 | 53 | 50 | 50 | 0 | 0 | 23 | 1 | 720,000$ | ||||
14 | Christian Folin | X | 100.00 | 89 | 88 | 77 | 75 | 78 | 64 | 58 | 58 | 25 | 45 | 48 | 69 | 25 | 64 | 65 | 59 | 20 | 0 | 0 | 29 | 2 | 1,700,000$ | ||||
15 | Oscar Fantenberg | X | 100.00 | 84 | 45 | 94 | 76 | 73 | 68 | 67 | 60 | 25 | 51 | 48 | 86 | 25 | 58 | 59 | 63 | 14 | 0 | 0 | 28 | 3 | 900,000$ | ||||
16 | John Moore | X | 100.00 | 80 | 69 | 86 | 86 | 79 | 70 | 62 | 58 | 25 | 43 | 49 | 76 | 69 | 71 | 74 | 61 | 8 | 0 | 0 | 29 | 2 | 2,750,000$ | ||||
17 | Alex Alexeyev (R) | X | 100.00 | 81 | 77 | 90 | 63 | 77 | 67 | 71 | 51 | 25 | 46 | 41 | 64 | 39 | 44 | 44 | 55 | 50 | 0 | 0 | 20 | 3 | 894,167$ | ||||
18 | Joseph Cecconi (R) | X | 100.00 | 81 | 76 | 91 | 61 | 76 | 52 | 54 | 44 | 25 | 34 | 39 | 63 | 37 | 44 | 44 | 51 | 50 | 0 | 0 | 23 | 3 | 1,293,750$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D'ÉQUIPE | 100.00 | 79 | 60 | 89 | 69 | 74 | 61 | 68 | 57 | 43 | 52 | 54 | 68 | 39 | 56 | 57 | 61 | 41 | 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 | Michael Hutchinson | 100.00 | 53 | 61 | 61 | 81 | 57 | 48 | 50 | 55 | 58 | 53 | 78 | 59 | 59 | 55 | 50 | 0 | 0 | |
2 | Joey Daccord (R) | 100.00 | 60 | 60 | 75 | 77 | 62 | 64 | 55 | 64 | 61 | 60 | 30 | 44 | 44 | 60 | 50 | 0 | 0 | |
Rayé | ||||||||||||||||||||
MOYENNE D'ÉQUIPE | 100.00 | 57 | 61 | 68 | 79 | 60 | 56 | 53 | 60 | 60 | 57 | 54 | 52 | 52 | 58 | 50 | 0 |
Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Derek Lalonde | 83 | 80 | 79 | 85 | 73 | 58 | 84 | USA | 46 | 3 | 1,250,000$ |
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 Erne | Stars (DAL) | LW/RW | 25 | 1995-04-20 | No | 214 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 894,167$ | 894,167$ | 0$ | 0$ | No | Lien | |||||||||||
Alex Alexeyev | Stars (DAL) | D | 20 | 1999-11-15 | Yes | 201 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 894,167$ | 450,000$ | 0$ | 0$ | No | 894,167$ | 894,167$ | ||||||||||
Alex Dostie | Stars (DAL) | C | 23 | 1997-04-13 | Yes | 165 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||||
Alex Petrovic | Stars (DAL) | D | 28 | 1992-03-03 | Yes | 216 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 1,050,000$ | 1,050,000$ | 0$ | 0$ | No | Lien | |||||||||||
Christian Folin | Stars (DAL) | D | 29 | 1991-02-09 | No | 204 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 1,700,000$ | 1,700,000$ | 0$ | 0$ | No | 1,700,000$ | Lien | ||||||||||
Connor Hobbs | Stars (DAL) | D | 23 | 1997-01-04 | No | 187 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 720,000$ | 720,000$ | 0$ | 0$ | No | Lien | |||||||||||
Dominik Simon | Stars (DAL) | LW/RW | 25 | 1994-08-08 | No | 190 Lbs | 5 ft11 | No | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | Lien | ||||||||
Joey Daccord | Stars (DAL) | G | 23 | 1996-08-19 | Yes | 196 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | Lien | |||||||||||
John Moore | Stars (DAL) | D | 29 | 1990-11-19 | No | 210 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 2,750,000$ | 2,750,000$ | 0$ | 0$ | No | 2,750,000$ | Lien | ||||||||||
Joseph Cecconi | Stars (DAL) | D | 23 | 1997-05-23 | Yes | 209 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 1,293,750$ | 1,293,750$ | 0$ | 0$ | No | 1,293,750$ | 1,293,750$ | ||||||||||
Justin Dowling | Stars (DAL) | C/LW/RW | 29 | 1990-10-01 | No | 185 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 650,000$ | 650,000$ | 0$ | 0$ | No | Lien | |||||||||||
Matthew Strome | Stars (DAL) | LW | 21 | 1999-01-05 | Yes | 206 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 879,167$ | 879,167$ | 0$ | 0$ | No | 879,167$ | 879,167$ | ||||||||||
Michael Hutchinson | Stars (DAL) | G | 30 | 1990-03-01 | No | 202 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | Lien | |||||||||||
Nic Dowd | Stars (DAL) | C/RW | 30 | 1990-05-26 | No | 197 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 650,000$ | 650,000$ | 0$ | 0$ | No | 650,000$ | Lien | ||||||||||
Oscar Fantenberg | Stars (DAL) | D | 28 | 1991-10-07 | No | 203 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 900,000$ | 850,000$ | 0$ | 0$ | No | 850,000$ | 850,000$ | Lien | |||||||||
Remi Elie | Stars (DAL) | LW | 25 | 1995-04-15 | No | 210 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 450,000$ | 450,000$ | 0$ | 0$ | No | 450,000$ | 450,000$ | Lien | |||||||||
Tom Kuhnhackl | Stars (DAL) | LW/RW | 28 | 1992-01-21 | No | 196 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | Lien | ||||||||||
Tomas Nosek | Stars (DAL) | C/LW | 27 | 1992-08-31 | No | 210 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 962,500$ | 962,500$ | 0$ | 0$ | No | 962,500$ | Lien | ||||||||||
Victor Rask | Stars (DAL) | C/LW/RW | 27 | 1993-03-01 | No | 200 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | Lien | |||||||||||
Warren Foegele | Stars (DAL) | LW/RW | 24 | 1996-04-01 | No | 190 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 746,667$ | 746,667$ | 0$ | 0$ | No | Lien |
Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
---|---|---|---|---|---|
20 | 25.85 | 200 Lbs | 6 ft2 | 2.00 | 995,771$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Tom Kuhnhackl | Tomas Nosek | Dominik Simon | 35 | 0 | 1 | 4 |
2 | Warren Foegele | Victor Rask | Adam Erne | 35 | 0 | 1 | 4 |
3 | Matthew Strome | Alex Dostie | Justin Dowling | 20 | 1 | 2 | 2 |
4 | Remi Elie | Victor Rask | Tom Kuhnhackl | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Alex Petrovic | Oscar Fantenberg | 35 | 0 | 3 | 2 | |
2 | Alex Alexeyev | John Moore | 35 | 0 | 3 | 2 | |
3 | Christian Folin | Connor Hobbs | 20 | 0 | 3 | 2 | |
4 | Joseph Cecconi | Alex Alexeyev | 10 | 0 | 3 | 2 |
Attaque en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Tom Kuhnhackl | Victor Rask | Adam Erne | 60 | 0 | 0 | 5 |
2 | Dominik Simon | Tomas Nosek | Warren Foegele | 40 | 0 | 1 | 4 |
Défense en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Alex Petrovic | Christian Folin | 50 | 0 | 2 | 3 | |
2 | Connor Hobbs | Matthew Strome | 50 | 0 | 2 | 3 |
Attaque à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Tomas Nosek | Matthew Strome | 50 | 0 | 4 | 1 |
2 | Justin Dowling | Tom Kuhnhackl | 50 | 0 | 4 | 1 |
Défense à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Alex Petrovic | Alex Alexeyev | 50 | 0 | 5 | 0 |
2 | John Moore | Christian Folin | 50 | 0 | 5 | 0 |
3 joueurs en Désavantage Numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % Temps | PHY | DF | OF | Défense | Défense | % Temps | PHY | DF | OF |
1 | Tomas Nosek | 50 | 0 | 5 | 0 | Alex Petrovic | Alex Alexeyev | 50 | 0 | 5 | 0 |
2 | Justin Dowling | 50 | 0 | 5 | 0 | John Moore | Christian Folin | 50 | 0 | 5 | 0 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Victor Rask | Matthew Strome | 50 | 0 | 2 | 3 |
2 | Tomas Nosek | Tom Kuhnhackl | 50 | 0 | 2 | 3 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Alex Petrovic | Alex Alexeyev | 50 | 0 | 3 | 2 |
2 | Christian Folin | Joseph Cecconi | 50 | 0 | 3 | 2 |
Attaque Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Tomas Nosek | Victor Rask | Dominik Simon | Alex Petrovic | Alex Alexeyev |
Défense Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Victor Rask | Tomas Nosek | Justin Dowling | Alex Petrovic | Alex Alexeyev |
Attaquants Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Victor Rask, Dominik Simon, Tomas Nosek | Victor Rask, Dominik Simon | Tomas Nosek |
Défenseurs Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Alex Petrovic, Alex Alexeyev, Christian Folin | Alex Petrovic | Alex Petrovic, Alex Alexeyev |
Tirs de Pénalité |
---|
Adam Erne, Alex Dostie, Remi Elie, Matthew Strome, Victor Rask |
Gardien |
---|
#1 : Joey Daccord, #2 : Michael Hutchinson |
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 |
---|
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$ | 1,991,543$ | 1,942,126$ | 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 | 33 | 34 | 0 | 5 | 0 | 6 | 4 | 215 | 203 | 12 | 41 | 20 | 13 | 0 | 1 | 0 | 4 | 3 | 105 | 82 | 23 | 41 | 13 | 21 | 0 | 4 | 0 | 2 | 1 | 110 | 121 | -11 | 92 | 215 | 370 | 585 | 2 | 3 | 64 | 81 | 59 | 18 | 1801 | 545 | 612 | 619 | 61 | 1648 | 471 | 994 | 1493 | 458 | 55 | 12.01% | 419 | 47 | 88.78% | 3 | 1319 | 2323 | 56.78% | 1192 | 2189 | 54.45% | 682 | 1230 | 55.45% | 1924 | 1314 | 2021 | 624 | 1032 | 509 |
Total Saison Régulière | 82 | 33 | 34 | 0 | 5 | 0 | 6 | 4 | 215 | 203 | 12 | 41 | 20 | 13 | 0 | 1 | 0 | 4 | 3 | 105 | 82 | 23 | 41 | 13 | 21 | 0 | 4 | 0 | 2 | 1 | 110 | 121 | -11 | 92 | 215 | 370 | 585 | 2 | 3 | 64 | 81 | 59 | 18 | 1801 | 545 | 612 | 619 | 61 | 1648 | 471 | 994 | 1493 | 458 | 55 | 12.01% | 419 | 47 | 88.78% | 3 | 1319 | 2323 | 56.78% | 1192 | 2189 | 54.45% | 682 | 1230 | 55.45% | 1924 | 1314 | 2021 | 624 | 1032 | 509 |