Leftovers | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Francois Bedard | Morale : 50 | Moyenne d’équipe : 61 Prochains matchs #1 vs Vagabond |
|
|
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 | Ryan McLeod | 0 | X | 100.00 | 63 | 42 | 94 | 77 | 76 | 64 | 84 | 67 | 73 | 49 | 47 | 77 | 25 | 55 | 56 | 0 | 50 | 67 | 0 | 23 | 1 | 925,000$ | ||||
2 | Julien Gauthier | 0 | X | 100.00 | 85 | 46 | 94 | 77 | 84 | 56 | 65 | 60 | 34 | 47 | 46 | 61 | 25 | 57 | 57 | 0 | 50 | 61 | 0 | 24 | 2 | 775,000$ | ||||
3 | Joel Kiviranta | 0 | X | X | 100.00 | 82 | 44 | 93 | 80 | 66 | 54 | 67 | 58 | 25 | 48 | 45 | 64 | 25 | 55 | 55 | 0 | 50 | 60 | 0 | 26 | 2 | 1,050,000$ | |||
4 | Haydn Fleury | 0 | X | 100.00 | 82 | 59 | 88 | 76 | 78 | 69 | 67 | 58 | 25 | 40 | 39 | 80 | 75 | 62 | 62 | 0 | 50 | 61 | 0 | 26 | 2 | 1,300,000$ | ||||
5 | Mark Borowiecki | 0 | X | 100.00 | 99 | 99 | 35 | 74 | 79 | 62 | 65 | 57 | 25 | 40 | 38 | 87 | 63 | 69 | 69 | 0 | 50 | 61 | 0 | 33 | 1 | 650,000$ | ||||
6 | Zachary Jones (R) | 0 | X | 100.00 | 61 | 40 | 99 | 70 | 62 | 66 | 63 | 61 | 25 | 42 | 38 | 73 | 75 | 46 | 46 | 0 | 50 | 59 | 0 | 21 | 1 | 925,000$ | ||||
7 | Gabriel Carlsson | 0 | X | 100.00 | 69 | 43 | 91 | 78 | 78 | 60 | 57 | 60 | 25 | 42 | 39 | 71 | 25 | 58 | 58 | 0 | 50 | 58 | 0 | 25 | 2 | 750,000$ | ||||
8 | Libor Hajek | 0 | X | 100.00 | 63 | 42 | 86 | 76 | 75 | 61 | 61 | 54 | 25 | 40 | 38 | 72 | 25 | 56 | 56 | 0 | 50 | 57 | 0 | 24 | 1 | 894,166$ | ||||
Rayé | ||||||||||||||||||||||||||||||
1 | Jujhar Khaira | 0 | X | X | 100.00 | 98 | 70 | 85 | 78 | 81 | 66 | 61 | 61 | 65 | 46 | 47 | 80 | 25 | 64 | 65 | 0 | 50 | 68 | 0 | 28 | 2 | 975,000$ | |||
2 | Luke Kunin | 0 | X | X | 100.00 | 92 | 95 | 67 | 83 | 72 | 66 | 86 | 62 | 43 | 48 | 48 | 69 | 25 | 64 | 65 | 0 | 50 | 68 | 0 | 24 | 3 | 2,300,000$ | |||
3 | Steven Fogarty | 0 | X | X | X | 100.00 | 78 | 76 | 84 | 62 | 76 | 68 | 70 | 62 | 78 | 43 | 43 | 66 | 54 | 46 | 46 | 0 | 50 | 65 | 0 | 29 | 2 | 750,000$ | ||
4 | Greg McKegg | 0 | X | X | X | 100.00 | 77 | 44 | 95 | 71 | 70 | 58 | 56 | 58 | 55 | 47 | 46 | 77 | 25 | 65 | 65 | 0 | 50 | 64 | 0 | 30 | 2 | 900,000$ | ||
5 | Jonny Brodzinski | 0 | X | 100.00 | 63 | 42 | 86 | 73 | 78 | 58 | 64 | 61 | 65 | 47 | 46 | 71 | 25 | 53 | 53 | 0 | 50 | 63 | 0 | 29 | 1 | 650,000$ | ||||
6 | Vinni Lettieri | 0 | X | X | 100.00 | 78 | 43 | 93 | 67 | 67 | 63 | 67 | 70 | 51 | 49 | 48 | 59 | 25 | 53 | 53 | 0 | 50 | 63 | 0 | 27 | 2 | 750,000$ | |||
7 | Mason Shaw | 0 | X | 100.00 | 63 | 67 | 55 | 67 | 67 | 71 | 73 | 64 | 80 | 43 | 43 | 59 | 59 | 44 | 44 | 0 | 50 | 63 | 0 | 23 | 2 | 750,000$ | ||||
8 | Anthony Angello | 0 | X | 100.00 | 80 | 79 | 82 | 66 | 79 | 63 | 65 | 57 | 50 | 39 | 39 | 66 | 53 | 46 | 46 | 0 | 50 | 62 | 0 | 26 | 2 | 725,000$ | ||||
9 | Nic Petan | 0 | X | X | 100.00 | 61 | 40 | 92 | 79 | 62 | 56 | 64 | 68 | 44 | 48 | 45 | 65 | 25 | 60 | 60 | 0 | 50 | 61 | 0 | 27 | 2 | 750,000$ | |||
10 | Klim Kostin | 0 | X | X | 100.00 | 88 | 59 | 83 | 74 | 79 | 53 | 58 | 58 | 44 | 48 | 47 | 61 | 25 | 49 | 49 | 0 | 50 | 60 | 0 | 23 | 2 | 1,075,833$ | |||
11 | Jaycob Megna | 0 | X | 100.00 | 81 | 46 | 88 | 68 | 85 | 78 | 77 | 61 | 25 | 41 | 39 | 90 | 25 | 57 | 57 | 0 | 50 | 65 | 0 | 29 | 2 | 750,000$ | ||||
12 | Dean Kukan | 0 | X | 100.00 | 75 | 43 | 88 | 77 | 70 | 69 | 64 | 64 | 25 | 43 | 39 | 75 | 25 | 63 | 63 | 0 | 50 | 62 | 0 | 29 | 2 | 1,650,000$ | ||||
13 | Alec Regula (R) | 0 | X | 100.00 | 79 | 45 | 77 | 70 | 78 | 75 | 64 | 67 | 25 | 39 | 39 | 78 | 25 | 45 | 45 | 0 | 50 | 62 | 0 | 22 | 1 | 894,167$ | ||||
14 | Braden Schneider (R) | 0 | X | 100.00 | 79 | 58 | 92 | 75 | 77 | 67 | 62 | 55 | 25 | 43 | 39 | 72 | 25 | 47 | 47 | 0 | 50 | 59 | 0 | 21 | 2 | 1,325,000$ | ||||
15 | Nils Lundkvist (R) | 0 | X | 100.00 | 67 | 42 | 99 | 76 | 66 | 64 | 58 | 64 | 25 | 41 | 38 | 66 | 25 | 46 | 46 | 0 | 50 | 58 | 0 | 22 | 2 | 1,775,000$ | ||||
16 | Darren Raddysh | 0 | X | 100.00 | 76 | 74 | 81 | 67 | 74 | 66 | 70 | 53 | 25 | 33 | 33 | 65 | 41 | 53 | 53 | 0 | 50 | 56 | 0 | 26 | 2 | 750,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 77 | 56 | 84 | 73 | 74 | 64 | 66 | 61 | 41 | 44 | 42 | 71 | 35 | 55 | 55 | 0 | 50 | 62 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ukko-Pekka Luukkonen (R) | 100.00 | 50 | 51 | 64 | 88 | 50 | 51 | 50 | 55 | 51 | 51 | 30 | 45 | 45 | 0 | 50 | 56 | 0 | 23 | 1 | 910,833$ | |
Rayé | |||||||||||||||||||||||
1 | Michael Hutchinson | 100.00 | 48 | 44 | 55 | 80 | 49 | 48 | 50 | 54 | 49 | 49 | 30 | 59 | 60 | 0 | 50 | 54 | 0 | 32 | 2 | 1,008,000$ | |
2 | Jack LaFontaine (R) | 100.00 | 46 | 40 | 50 | 82 | 46 | 48 | 51 | 53 | 51 | 51 | 30 | 44 | 44 | 0 | 50 | 53 | 0 | 24 | 2 | 1,000,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 48 | 45 | 56 | 83 | 48 | 49 | 50 | 54 | 50 | 50 | 30 | 49 | 50 | 0 | 50 | 54 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
David Quinn | 94 | 86 | 79 | 57 | 71 | 76 | 50 | USA | 56 | 5 | 450,000$ |
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 | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alec Regula | Leftovers (Tru) | D | 22 | 8/5/2000 | Yes | 208 Lbs | 193 CM | No | No | No | 1 | Pro & Farm | 894,167$ | 894,167$ | 0$ | 0$ | No | Lien | |||||||||
Anthony Angello | Leftovers (Tru) | RW | 26 | 3/6/1996 | No | 209 Lbs | 196 CM | No | No | No | 2 | Pro & Farm | 725,000$ | 725,000$ | 0$ | 0$ | No | 725,000$ | Lien / Lien NHL | ||||||||
Braden Schneider | Leftovers (Tru) | D | 21 | 9/20/2001 | Yes | 209 Lbs | 188 CM | No | No | No | 2 | Pro & Farm | 1,325,000$ | 1,325,000$ | 0$ | 0$ | No | 1,325,000$ | Lien | ||||||||
Darren Raddysh | Leftovers (Tru) | D | 26 | 2/28/1996 | No | 200 Lbs | 185 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Dean Kukan | Leftovers (Tru) | D | 29 | 7/8/1993 | No | 186 Lbs | 188 CM | No | No | No | 2 | Pro & Farm | 1,650,000$ | 1,650,000$ | 0$ | 0$ | No | 1,650,000$ | Lien / Lien NHL | ||||||||
Gabriel Carlsson | Leftovers (Tru) | D | 25 | 1/2/1997 | No | 203 Lbs | 196 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien / Lien NHL | ||||||||
Greg McKegg | Leftovers (Tru) | C/LW/RW | 30 | 6/17/1992 | No | 192 Lbs | 183 CM | No | No | No | 2 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | Lien / Lien NHL | ||||||||
Haydn Fleury | Leftovers (Tru) | D | 26 | 7/8/1996 | No | 208 Lbs | 191 CM | No | No | No | 2 | Pro & Farm | 1,300,000$ | 1,300,000$ | 0$ | 0$ | No | 1,300,000$ | Lien / Lien NHL | ||||||||
Jack LaFontaine | Leftovers (Tru) | G | 24 | 1/6/1998 | Yes | 209 Lbs | 191 CM | No | No | No | 2 | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | Lien | ||||||||
Jaycob Megna | Leftovers (Tru) | D | 29 | 12/10/1992 | No | 221 Lbs | 198 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Joel Kiviranta | Leftovers (Tru) | LW/RW | 26 | 3/23/1996 | No | 180 Lbs | 180 CM | No | No | No | 2 | Pro & Farm | 1,050,000$ | 1,050,000$ | 0$ | 0$ | No | 1,050,000$ | Lien / Lien NHL | ||||||||
Jonny Brodzinski | Leftovers (Tru) | RW | 29 | 6/19/1993 | No | 215 Lbs | 185 CM | No | No | No | 1 | Pro & Farm | 650,000$ | 650,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Jujhar Khaira | Leftovers (Tru) | C/LW | 28 | 8/13/1994 | No | 212 Lbs | 193 CM | No | No | No | 2 | Pro & Farm | 975,000$ | 975,000$ | 0$ | 0$ | No | 975,000$ | Lien / Lien NHL | ||||||||
Julien Gauthier | Leftovers (Tru) | RW | 24 | 10/15/1997 | No | 227 Lbs | 193 CM | No | No | No | 2 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | Lien / Lien NHL | ||||||||
Klim Kostin | Leftovers (Tru) | LW/RW | 23 | 5/5/1999 | No | 212 Lbs | 191 CM | No | No | No | 2 | Pro & Farm | 1,075,833$ | 1,075,833$ | 0$ | 0$ | No | 1,075,833$ | Lien / Lien NHL | ||||||||
Libor Hajek | Leftovers (Tru) | D | 24 | 2/4/1998 | No | 203 Lbs | 188 CM | No | No | No | 1 | Pro & Farm | 894,166$ | 894,166$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Luke Kunin | Leftovers (Tru) | C/RW | 24 | 12/4/1997 | No | 193 Lbs | 183 CM | No | No | No | 3 | Pro & Farm | 2,300,000$ | 2,300,000$ | 0$ | 0$ | No | 2,300,000$ | 2,300,000$ | Lien / Lien NHL | |||||||
Mark Borowiecki | Leftovers (Tru) | D | 33 | 7/12/1989 | No | 207 Lbs | 185 CM | No | No | No | 1 | Pro & Farm | 650,000$ | 650,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Mason Shaw | Leftovers (Tru) | C | 23 | 11/2/1998 | No | 180 Lbs | 175 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Michael Hutchinson | Leftovers (Tru) | G | 32 | 3/1/1990 | No | 198 Lbs | 191 CM | No | No | No | 2 | Pro & Farm | 1,008,000$ | 1,008,000$ | 0$ | 0$ | No | 1,008,000$ | Lien / Lien NHL | ||||||||
Nic Petan | Leftovers (Tru) | LW/RW | 27 | 3/22/1995 | No | 175 Lbs | 175 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien / Lien NHL | ||||||||
Nils Lundkvist | Leftovers (Tru) | D | 22 | 7/27/2000 | Yes | 187 Lbs | 178 CM | No | No | No | 2 | Pro & Farm | 1,775,000$ | 1,775,000$ | 0$ | 0$ | No | 1,775,000$ | Lien | ||||||||
Ryan McLeod | Leftovers (Tru) | C | 23 | 9/21/1999 | No | 207 Lbs | 188 CM | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | Lien | |||||||||
Steven Fogarty | Leftovers (Tru) | C/LW/RW | 29 | 4/19/1993 | No | 204 Lbs | 191 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien / Lien NHL | ||||||||
Ukko-Pekka Luukkonen | Leftovers (Tru) | G | 23 | 3/8/1999 | Yes | 220 Lbs | 193 CM | No | No | No | 1 | Pro & Farm | 910,833$ | 910,833$ | 0$ | 0$ | No | Lien | |||||||||
Vinni Lettieri | Leftovers (Tru) | C/RW | 27 | 2/6/1995 | No | 185 Lbs | 180 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien / Lien NHL | ||||||||
Zachary Jones | Leftovers (Tru) | D | 21 | 10/18/2000 | Yes | 172 Lbs | 178 CM | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
27 | 25.78 | 201 Lbs | 188 CM | 1.78 | 998,444$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 34 | 0 | 1 | 4 | |||
2 | 31 | 1 | 1 | 3 | |||
3 | 21 | 2 | 2 | 1 | |||
4 | Ryan McLeod | Julien Gauthier | 14 | 1 | 3 | 1 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 36 | 1 | 2 | 2 | |||
2 | 35 | 1 | 2 | 2 | |||
3 | Libor Hajek | 29 | 1 | 2 | 2 | ||
4 | Libor Hajek | 0 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | Julien Gauthier | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | Libor Hajek | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Julien Gauthier | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Libor Hajek | 60 | 1 | 2 | 2 | |
2 | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | Libor Hajek | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Libor Hajek | 60 | 1 | 2 | 2 | |
2 | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Libor Hajek |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Libor Hajek |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , Libor Hajek | , |
Tirs de pénalité |
---|
, , , , |
Gardien |
---|
#1 : , #2 : |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 |
Total pour les joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
---|---|---|---|---|---|---|
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 |
Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mises en jeu | ||||||||
---|---|---|---|---|---|---|---|---|
Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
Temps avec la rondelle | |||||
---|---|---|---|---|---|
En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
0 | 0 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
---|---|---|---|---|---|---|---|---|---|---|
1 - 2022-10-10 | 1 | Vagabond | - | Leftovers | - | |||||
3 - 2022-10-12 | 12 | Leftovers | - | Werewolves | - | |||||
5 - 2022-10-14 | 19 | Benchwarmers | - | Leftovers | - | |||||
7 - 2022-10-16 | 26 | Leftovers | - | Barracuda | - | |||||
9 - 2022-10-18 | 35 | Leftovers | - | Diabotins | - | |||||
11 - 2022-10-20 | 43 | Hooligans | - | Leftovers | - | |||||
13 - 2022-10-22 | 51 | Leftovers | - | Caribou | - | |||||
15 - 2022-10-24 | 58 | Leftovers | - | Hybrides | - | |||||
17 - 2022-10-26 | 66 | Pingouins | - | Leftovers | - | |||||
19 - 2022-10-28 | 74 | Leftovers | - | Chevalier | - | |||||
21 - 2022-10-30 | 82 | Leftovers | - | Casse-Tete | - | |||||
23 - 2022-11-01 | 90 | Leftovers | - | Requins | - | |||||
25 - 2022-11-03 | 98 | Jardiniers | - | Leftovers | - | |||||
27 - 2022-11-05 | 106 | Leftovers | - | Pirates | - | |||||
29 - 2022-11-07 | 114 | Knights | - | Leftovers | - | |||||
31 - 2022-11-09 | 121 | Leftovers | - | Vagabond | - | |||||
33 - 2022-11-11 | 132 | Werewolves | - | Leftovers | - | |||||
35 - 2022-11-13 | 139 | Leftovers | - | Benchwarmers | - | |||||
37 - 2022-11-15 | 146 | Barracuda | - | Leftovers | - | |||||
39 - 2022-11-17 | 155 | Diabotins | - | Leftovers | - | |||||
41 - 2022-11-19 | 163 | Leftovers | - | Hooligans | - | |||||
43 - 2022-11-21 | 171 | Caribou | - | Leftovers | - | |||||
45 - 2022-11-23 | 178 | Hybrides | - | Leftovers | - | |||||
47 - 2022-11-25 | 186 | Leftovers | - | Pingouins | - | |||||
49 - 2022-11-27 | 194 | Chevalier | - | Leftovers | - | |||||
51 - 2022-11-29 | 202 | Casse-Tete | - | Leftovers | - | |||||
53 - 2022-12-01 | 210 | Requins | - | Leftovers | - | |||||
55 - 2022-12-03 | 218 | Leftovers | - | Jardiniers | - | |||||
57 - 2022-12-05 | 226 | Pirates | - | Leftovers | - | |||||
59 - 2022-12-07 | 234 | Leftovers | - | Knights | - | |||||
61 - 2022-12-09 | 241 | Vagabond | - | Leftovers | - | |||||
63 - 2022-12-11 | 252 | Leftovers | - | Werewolves | - | |||||
65 - 2022-12-13 | 259 | Benchwarmers | - | Leftovers | - | |||||
67 - 2022-12-15 | 266 | Leftovers | - | Barracuda | - | |||||
69 - 2022-12-17 | 275 | Leftovers | - | Diabotins | - | |||||
71 - 2022-12-19 | 283 | Hooligans | - | Leftovers | - | |||||
73 - 2022-12-21 | 291 | Leftovers | - | Caribou | - | |||||
75 - 2022-12-23 | 298 | Leftovers | - | Hybrides | - | |||||
77 - 2022-12-25 | 306 | Pingouins | - | Leftovers | - | |||||
79 - 2022-12-27 | 314 | Leftovers | - | Chevalier | - | |||||
81 - 2022-12-29 | 322 | Leftovers | - | Casse-Tete | - | |||||
83 - 2022-12-31 | 330 | Leftovers | - | Requins | - | |||||
85 - 2023-01-02 | 338 | Jardiniers | - | Leftovers | - | |||||
87 - 2023-01-04 | 346 | Leftovers | - | Pirates | - | |||||
89 - 2023-01-06 | 354 | Knights | - | Leftovers | - | |||||
91 - 2023-01-08 | 361 | Leftovers | - | Vagabond | - | |||||
93 - 2023-01-10 | 372 | Werewolves | - | Leftovers | - | |||||
95 - 2023-01-12 | 379 | Leftovers | - | Benchwarmers | - | |||||
97 - 2023-01-14 | 386 | Barracuda | - | Leftovers | - | |||||
99 - 2023-01-16 | 395 | Diabotins | - | Leftovers | - | |||||
101 - 2023-01-18 | 403 | Leftovers | - | Hooligans | - | |||||
103 - 2023-01-20 | 411 | Caribou | - | Leftovers | - | |||||
105 - 2023-01-22 | 418 | Hybrides | - | Leftovers | - | |||||
107 - 2023-01-24 | 426 | Leftovers | - | Pingouins | - | |||||
109 - 2023-01-26 | 434 | Chevalier | - | Leftovers | - | |||||
111 - 2023-01-28 | 442 | Casse-Tete | - | Leftovers | - | |||||
113 - 2023-01-30 | 450 | Requins | - | Leftovers | - | |||||
115 - 2023-02-01 | 458 | Leftovers | - | Jardiniers | - | |||||
117 - 2023-02-03 | 466 | Pirates | - | Leftovers | - | |||||
119 - 2023-02-05 | 474 | Leftovers | - | Knights | - | |||||
121 - 2023-02-07 | 481 | Vagabond | - | Leftovers | - | |||||
123 - 2023-02-09 | 492 | Leftovers | - | Werewolves | - | |||||
125 - 2023-02-11 | 499 | Benchwarmers | - | Leftovers | - | |||||
127 - 2023-02-13 | 506 | Leftovers | - | Barracuda | - | |||||
129 - 2023-02-15 | 515 | Leftovers | - | Diabotins | - | |||||
131 - 2023-02-17 | 523 | Hooligans | - | Leftovers | - | |||||
133 - 2023-02-19 | 531 | Leftovers | - | Caribou | - | |||||
135 - 2023-02-21 | 537 | Leftovers | - | Vagabond | - | |||||
137 - 2023-02-23 | 548 | Werewolves | - | Leftovers | - | |||||
139 - 2023-02-25 | 555 | Leftovers | - | Benchwarmers | - | |||||
141 - 2023-02-27 | 562 | Barracuda | - | Leftovers | - | |||||
143 - 2023-03-01 | 571 | Diabotins | - | Leftovers | - | |||||
145 - 2023-03-03 | 579 | Leftovers | - | Hooligans | - | |||||
147 - 2023-03-05 | 587 | Caribou | - | Leftovers | - | |||||
149 - 2023-03-07 | 593 | Vagabond | - | Leftovers | - | |||||
151 - 2023-03-09 | 604 | Leftovers | - | Werewolves | - | |||||
153 - 2023-03-11 | 611 | Benchwarmers | - | Leftovers | - | |||||
155 - 2023-03-13 | 618 | Leftovers | - | Barracuda | - | |||||
157 - 2023-03-15 | 627 | Leftovers | - | Diabotins | - | |||||
159 - 2023-03-17 | 635 | Hooligans | - | Leftovers | - | |||||
161 - 2023-03-19 | 643 | Leftovers | - | Caribou | - | |||||
163 - 2023-03-21 | 650 | Diabotins | - | Leftovers | - |
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 35 | 15 |
Assistance | 0.00% | 0.00% |
Assistance PCT | 0.00% | 0.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
0$ | 2,695,800$ | 2,385,800$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
16,438$ | 0$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 164 | 16,438$ | 2,695,832$ |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Brock McGinn | 250 | 157 | 197 | 354 | -31 | 80 | 385 | 358 | 1044 | 15.04% | 220 | 5155 | 20.62 | 44 | 66 | 110 | 209 | 7 | 9 | 16 | 50 | 16 | 7 | 44.73 | 8 | 1.37 | 6 | 21 |
2 | Johan Larsson | 207 | 128 | 187 | 315 | 187 | 106 | 327 | 360 | 722 | 17.73% | 164 | 4676 | 22.59 | 29 | 44 | 73 | 142 | 11 | 11 | 22 | 56 | 14 | 4 | 65.77 | 10 | 1.35 | 4 | 19 |
3 | Michael Bunting | 183 | 187 | 121 | 308 | 71 | 90 | 264 | 128 | 604 | 30.96% | 67 | 2650 | 14.48 | 28 | 19 | 47 | 54 | 1 | 2 | 3 | 3 | 7 | 5 | 47.14 | 30 | 2.32 | 0 | 3 |
4 | Rasmus Asplund | 168 | 111 | 182 | 293 | 54 | 8 | 104 | 250 | 558 | 19.89% | 122 | 2748 | 16.36 | 30 | 54 | 84 | 106 | 0 | 0 | 0 | 0 | 12 | 5 | 40.61 | 8 | 2.13 | 0 | 1 |
5 | Andrej Nestrasil | 210 | 88 | 151 | 239 | 139 | 22 | 85 | 279 | 573 | 15.36% | 102 | 4167 | 19.84 | 19 | 43 | 62 | 110 | 7 | 5 | 12 | 38 | 18 | 6 | 49.41 | 3 | 1.15 | 6 | 15 |
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Darcy Kuemper | 159 | 96 | 50 | 13 | 0.926 | 2.16 | 9574 | 6 | 8 | 344 | 4653 | 2519 | 11 | 4 | 0.696 | 56 |
2 | Curtis McElhinney | 84 | 56 | 20 | 8 | 0.928 | 2.45 | 5074 | 4 | 0 | 207 | 2880 | 1771 | 15 | 1 | 0.750 | 24 |
3 | Garret Sparks | 84 | 27 | 49 | 8 | 0.886 | 3.72 | 4958 | 2 | 1 | 307 | 2691 | 1396 | 2 | 5 | 0.794 | 34 |
4 | Anthony Stolarz | 50 | 14 | 23 | 5 | 0.816 | 6.07 | 2599 | 0 | 0 | 263 | 1431 | 810 | 2 | 2 | 0.500 | 6 |
5 | Hunter Miska | 47 | 11 | 20 | 1 | 0.792 | 7.14 | 1940 | 2 | 0 | 231 | 1110 | 631 | 3 | 1 | 0.750 | 4 |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
Saison régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2016 | 84 | 56 | 18 | 0 | 0 | 3 | 3 | 4 | 374 | 269 | 105 | 42 | 32 | 7 | 0 | 0 | 1 | 2 | 0 | 202 | 142 | 60 | 42 | 24 | 11 | 0 | 0 | 2 | 1 | 4 | 172 | 127 | 45 | 125 | 374 | 677 | 1051 | 3 | 5 | 139 | 110 | 122 | 6 | 2726 | 952 | 841 | 908 | 50 | 2389 | 866 | 839 | 1569 | 277 | 78 | 28.16% | 279 | 42 | 84.95% | 13 | 1068 | 1780 | 60.00% | 952 | 1597 | 59.61% | 652 | 1237 | 52.71% | 2138 | 1487 | 1736 | 624 | 1202 | 610 |
2017 | 84 | 29 | 39 | 0 | 5 | 1 | 4 | 6 | 245 | 378 | -133 | 42 | 16 | 17 | 0 | 2 | 0 | 3 | 4 | 119 | 191 | -72 | 42 | 13 | 22 | 0 | 3 | 1 | 1 | 2 | 126 | 187 | -61 | 83 | 245 | 418 | 663 | 1 | 4 | 81 | 75 | 80 | 13 | 2200 | 697 | 754 | 716 | 66 | 2596 | 886 | 667 | 1568 | 285 | 56 | 19.65% | 324 | 69 | 78.70% | 11 | 654 | 1548 | 42.25% | 735 | 1656 | 44.38% | 499 | 1204 | 41.45% | 1809 | 1120 | 1982 | 697 | 1313 | 650 |
2018 | 82 | 39 | 30 | 0 | 5 | 3 | 1 | 4 | 399 | 222 | 177 | 41 | 24 | 8 | 0 | 2 | 3 | 1 | 3 | 214 | 100 | 114 | 41 | 15 | 22 | 0 | 3 | 0 | 0 | 1 | 185 | 122 | 63 | 97 | 399 | 713 | 1112 | 1 | 2 | 159 | 126 | 108 | 7 | 2914 | 1069 | 936 | 887 | 35 | 2830 | 1013 | 814 | 1653 | 292 | 70 | 23.97% | 396 | 71 | 82.07% | 19 | 959 | 1786 | 53.70% | 1046 | 1954 | 53.53% | 627 | 1172 | 53.50% | 1898 | 1224 | 1817 | 659 | 1238 | 627 |
2019 | 84 | 19 | 49 | 0 | 3 | 4 | 5 | 4 | 223 | 365 | -142 | 42 | 11 | 18 | 0 | 3 | 3 | 3 | 4 | 131 | 166 | -35 | 42 | 8 | 31 | 0 | 0 | 1 | 2 | 0 | 92 | 199 | -107 | 62 | 223 | 391 | 614 | 5 | 1 | 97 | 71 | 47 | 12 | 3001 | 1079 | 974 | 929 | 52 | 2745 | 958 | 768 | 1655 | 352 | 73 | 20.74% | 372 | 99 | 73.39% | 9 | 1075 | 2037 | 52.77% | 856 | 1819 | 47.06% | 562 | 1138 | 49.38% | 1978 | 1311 | 1901 | 668 | 1221 | 594 |
2020 | 84 | 50 | 20 | 0 | 1 | 5 | 5 | 3 | 421 | 216 | 205 | 42 | 29 | 7 | 0 | 0 | 4 | 2 | 0 | 238 | 95 | 143 | 42 | 21 | 13 | 0 | 1 | 1 | 3 | 3 | 183 | 121 | 62 | 120 | 421 | 627 | 1048 | 1 | 0 | 138 | 149 | 128 | 9 | 2815 | 934 | 980 | 873 | 52 | 2886 | 1146 | 444 | 1361 | 342 | 93 | 27.19% | 229 | 58 | 74.67% | 10 | 764 | 1552 | 49.23% | 749 | 1614 | 46.41% | 613 | 1204 | 50.91% | 1864 | 1236 | 2000 | 676 | 1224 | 593 |
2021 | 84 | 23 | 53 | 0 | 1 | 4 | 1 | 2 | 512 | 729 | -217 | 42 | 13 | 24 | 0 | 1 | 2 | 1 | 1 | 283 | 337 | -54 | 42 | 10 | 29 | 0 | 0 | 2 | 0 | 1 | 229 | 392 | -163 | 56 | 512 | 808 | 1320 | 3 | 0 | 171 | 178 | 161 | 3 | 3011 | 1026 | 1030 | 943 | 22 | 2813 | 1020 | 489 | 1602 | 279 | 96 | 34.41% | 240 | 115 | 52.08% | 10 | 721 | 1544 | 46.70% | 559 | 1330 | 42.03% | 840 | 1850 | 45.41% | 1877 | 1218 | 1885 | 650 | 1303 | 648 |
Total Saison régulière | 501 | 146 | 272 | 0 | 26 | 14 | 16 | 27 | 1791 | 2074 | -283 | 250 | 93 | 110 | 0 | 15 | 10 | 7 | 15 | 992 | 933 | 59 | 251 | 53 | 162 | 0 | 11 | 4 | 9 | 12 | 799 | 1141 | -342 | 417 | 1791 | 3011 | 4802 | 7 | 10 | 630 | 568 | 551 | 61 | 14884 | 4910 | 4946 | 4850 | 347 | 16952 | 6431 | 3656 | 9926 | 1640 | 375 | 22.87% | 1661 | 384 | 76.88% | 61 | 4546 | 9264 | 49.07% | 4857 | 10267 | 47.31% | 3587 | 7297 | 49.16% | 10613 | 6712 | 12218 | 4024 | 7518 | 3667 |
Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2016 | 16 | 11 | 5 | 0 | 0 | 0 | 0 | 0 | 55 | 35 | 20 | 7 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 32 | 12 | 20 | 9 | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 23 | 23 | 0 | 22 | 55 | 102 | 157 | 0 | 2 | 21 | 21 | 11 | 2 | 556 | 169 | 189 | 189 | 9 | 431 | 144 | 165 | 310 | 60 | 19 | 31.67% | 55 | 9 | 83.64% | 1 | 199 | 357 | 55.74% | 163 | 306 | 53.27% | 111 | 210 | 52.86% | 410 | 278 | 331 | 124 | 233 | 120 |
2020 | 15 | 9 | 6 | 0 | 0 | 0 | 0 | 0 | 52 | 38 | 14 | 7 | 5 | 2 | 0 | 0 | 0 | 0 | 0 | 24 | 17 | 7 | 8 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 28 | 21 | 7 | 18 | 52 | 68 | 120 | 0 | 0 | 15 | 23 | 12 | 2 | 533 | 192 | 165 | 153 | 23 | 601 | 210 | 20 | 166 | 53 | 18 | 33.96% | 11 | 0 | 100.00% | 1 | 138 | 315 | 43.81% | 111 | 287 | 38.68% | 71 | 194 | 36.60% | 291 | 198 | 423 | 117 | 207 | 91 |
Total Séries éliminatoires | 9 | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 18 | 1 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 10 | 19 | 32 | 51 | 0 | 0 | 9 | 3 | 6 | 1 | 293 | 113 | 70 | 106 | 4 | 247 | 94 | 114 | 193 | 23 | 2 | 8.70% | 43 | 7 | 83.72% | 2 | 121 | 186 | 65.05% | 135 | 193 | 69.95% | 75 | 102 | 73.53% | 245 | 171 | 177 | 67 | 125 | 65 |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Joey Anderson | 15 | 23 | 8 | 31 | 4 | 0 | 24 | 40 | 120 | 19.17% | 25 | 282 | 18.83 | 7 | 5 | 12 | 29 | 0 | 0 | 0 | 0 | 8 | 1 | 46.12 | 3 | 2.20 | 0 | 0 |
2 | Dylan Sikura | 15 | 6 | 21 | 27 | 3 | 0 | 11 | 13 | 80 | 7.50% | 6 | 283 | 18.92 | 3 | 7 | 10 | 14 | 0 | 0 | 0 | 0 | 0 | 2 | 55.56 | 0 | 1.90 | 0 | 0 |
3 | Tom Kuhnhackl | 16 | 6 | 15 | 21 | 4 | 6 | 24 | 11 | 43 | 13.95% | 1 | 236 | 14.80 | 3 | 5 | 8 | 7 | 0 | 0 | 0 | 0 | 1 | 0 | 8.33 | 0 | 1.77 | 0 | 0 |
4 | Andrej Nestrasil | 16 | 5 | 12 | 17 | 0 | 2 | 9 | 23 | 55 | 9.09% | 14 | 353 | 22.08 | 2 | 8 | 10 | 13 | 0 | 0 | 0 | 1 | 0 | 0 | 52.02 | 0 | 0.96 | 0 | 0 |
5 | John Moore | 16 | 4 | 12 | 16 | 0 | 4 | 9 | 24 | 38 | 10.53% | 19 | 383 | 23.94 | 3 | 2 | 5 | 11 | 1 | 0 | 1 | 1 | 2 | 0 | 0.00% | 0 | 0.84 | 0 | 0 |
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Darcy Kuemper | 16 | 11 | 5 | 0 | 0.919 | 2.16 | 974 | 2 | 2 | 35 | 431 | 218 | 0 | 0 | 0.00% | 0 |
2 | Curtis McElhinney | 15 | 9 | 5 | 1 | 0.937 | 2.48 | 921 | 2 | 0 | 38 | 601 | 393 | 5 | 0 | 0.00% | 0 |