Chicago | |
GP: 82 | W: 29 | L: 50 | OTL: 3 | P: 61 GF: 191 | GA: 259 | PP%: 18.22% | PK%: 83.57% DG: Sylvain Doyon | Morale : 50 | Moyenne d’équipe : 66 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# |
Nom du joueur |
C |
L |
R |
D |
CON |
CK |
FG |
DI |
SK |
ST |
EN |
DU |
PH |
FO |
PA |
SC |
DF |
PS |
EX |
LD |
PO |
MO |
OV |
TA |
SP | Âge | Contrat | Salaire moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Conor Garland | X | X | 99.00 | 65 | 41 | 84 | 83 | 60 | 77 | 87 | 83 | 36 | 84 | 75 | 55 | 75 | 64 | 65 | 0 | 50 | 70 | 0 | 24 | 4 | 4,000,000$ | |||
2 | Corey Perry | X | 100.00 | 76 | 44 | 77 | 74 | 77 | 65 | 82 | 73 | 25 | 69 | 71 | 55 | 63 | 88 | 95 | 0 | 50 | 67 | 0 | 35 | 1 | 7,000,000$ | ||||
3 | Darren Helm | X | 100.00 | 71 | 43 | 92 | 85 | 70 | 68 | 86 | 64 | 56 | 60 | 57 | 84 | 63 | 78 | 83 | 0 | 50 | 67 | 0 | 33 | 3 | 4,000,000$ | ||||
4 | Colin White | X | X | 97.44 | 78 | 44 | 88 | 81 | 70 | 68 | 81 | 76 | 74 | 64 | 73 | 63 | 53 | 65 | 65 | 0 | 50 | 67 | 0 | 23 | 5 | 3,000,000$ | |||
5 | Lawson Crouse (A) | X | X | 100.00 | 95 | 71 | 75 | 83 | 84 | 67 | 88 | 60 | 43 | 64 | 58 | 84 | 25 | 65 | 66 | 0 | 50 | 67 | 0 | 23 | 2 | 1,100,000$ | |||
6 | Tyson Jost | X | X | 100.00 | 71 | 42 | 86 | 85 | 67 | 67 | 90 | 61 | 68 | 65 | 64 | 78 | 75 | 63 | 65 | 0 | 50 | 67 | 0 | 22 | 2 | 1,550,000$ | |||
7 | Artem Anisimov | X | X | 100.00 | 65 | 42 | 96 | 82 | 75 | 62 | 59 | 73 | 57 | 78 | 60 | 63 | 61 | 79 | 81 | 0 | 50 | 66 | 0 | 32 | 6 | 1,750,000$ | |||
8 | Jay Beagle | X | 100.00 | 76 | 44 | 91 | 74 | 79 | 63 | 67 | 61 | 91 | 61 | 56 | 95 | 25 | 74 | 79 | 0 | 50 | 66 | 0 | 34 | 6 | 1,000,000$ | ||||
9 | Jonathan Drouin | X | X | 100.00 | 75 | 43 | 86 | 89 | 72 | 73 | 63 | 76 | 43 | 82 | 57 | 53 | 61 | 67 | 69 | 0 | 50 | 66 | 0 | 25 | 3 | 5,000,000$ | |||
10 | Jack Studnicka | X | X | 100.00 | 69 | 45 | 99 | 73 | 65 | 69 | 71 | 61 | 67 | 66 | 63 | 73 | 25 | 46 | 47 | 0 | 50 | 62 | 0 | 21 | 3 | 769,168$ | |||
11 | Kevin Stenlund | X | X | 100.00 | 65 | 43 | 91 | 65 | 81 | 63 | 73 | 68 | 70 | 63 | 70 | 58 | 25 | 52 | 53 | 0 | 50 | 62 | 0 | 24 | 1 | 1,200,000$ | |||
12 | Charlie McAvoy (C) | X | 98.63 | 78 | 44 | 79 | 91 | 74 | 89 | 88 | 77 | 25 | 71 | 50 | 82 | 45 | 66 | 69 | 0 | 50 | 74 | 0 | 22 | 1 | 925,000$ | ||||
13 | Zach Whitecloud | X | 100.00 | 82 | 45 | 86 | 62 | 76 | 74 | 80 | 58 | 25 | 54 | 48 | 79 | 25 | 52 | 53 | 0 | 50 | 65 | 0 | 23 | 1 | 925,000$ | ||||
14 | Robert Hagg | X | 100.00 | 94 | 47 | 84 | 72 | 75 | 67 | 67 | 58 | 25 | 48 | 48 | 69 | 25 | 61 | 62 | 0 | 50 | 64 | 0 | 25 | 1 | 1,500,000$ | ||||
15 | Jeremy Davies | X | 100.00 | 76 | 46 | 94 | 68 | 66 | 73 | 67 | 72 | 28 | 50 | 52 | 67 | 25 | 45 | 45 | 0 | 50 | 61 | 0 | 23 | 2 | 925,000$ | ||||
16 | Brogan Rafferty | X | 100.00 | 81 | 75 | 96 | 64 | 71 | 67 | 52 | 63 | 26 | 63 | 47 | 68 | 25 | 44 | 44 | 0 | 50 | 60 | 0 | 25 | 1 | 1,100,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Jason Robertson (A) | X | 96.26 | 72 | 47 | 99 | 74 | 79 | 81 | 86 | 84 | 62 | 92 | 92 | 56 | 25 | 49 | 49 | 0 | 50 | 72 | 0 | 21 | 3 | 795,000$ | ||||
2 | K'Andre Miller (R) | X | 88.16 | 83 | 46 | 88 | 80 | 81 | 82 | 74 | 68 | 25 | 50 | 50 | 81 | 25 | 49 | 49 | 0 | 50 | 68 | 0 | 20 | 4 | 925,000$ | ||||
3 | Trevor van Riemsdyk | X | 96.22 | 69 | 42 | 96 | 80 | 70 | 71 | 59 | 61 | 25 | 49 | 48 | 81 | 25 | 66 | 68 | 0 | 50 | 66 | 0 | 29 | 6 | 1,500,000$ | ||||
Équipe Mineure | |||||||||||||||||||||||||||||
1 | Arthur Kaliyev (R) | X | X | 100.00 | 74 | 72 | 78 | 67 | 72 | 75 | 78 | 64 | 50 | 60 | 64 | 64 | 61 | 44 | 44 | 0 | 50 | 61 | 0 | 19 | 3 | 925,000$ | |||
2 | Lucas Wallmark | X | X | 100.00 | 78 | 43 | 90 | 76 | 65 | 59 | 65 | 58 | 72 | 62 | 55 | 72 | 25 | 61 | 62 | 0 | 50 | 61 | 0 | 25 | 2 | 1,200,000$ | |||
3 | Seth Jarvis (R) | X | X | 100.00 | 69 | 62 | 86 | 66 | 62 | 59 | 57 | 69 | 80 | 61 | 74 | 63 | 70 | 44 | 44 | 0 | 50 | 61 | 0 | 18 | 3 | 925,000$ | |||
4 | Adam Ruzicka | X | X | X | 100.00 | 78 | 77 | 79 | 63 | 77 | 65 | 66 | 64 | 80 | 59 | 65 | 66 | 62 | 44 | 44 | 0 | 50 | 60 | 0 | 21 | 3 | 801,666$ | ||
5 | Kiefer Sherwood | X | X | 100.00 | 90 | 45 | 99 | 72 | 67 | 52 | 61 | 64 | 44 | 65 | 55 | 61 | 25 | 54 | 54 | 0 | 50 | 60 | 0 | 25 | 4 | 1,000,000$ | |||
6 | Kyle Rau | X | X | X | 100.00 | 81 | 43 | 81 | 68 | 61 | 54 | 57 | 61 | 25 | 62 | 55 | 81 | 25 | 50 | 51 | 0 | 50 | 60 | 0 | 27 | 1 | 750,000$ | ||
7 | David Cotton (R) | X | 100.00 | 77 | 75 | 80 | 65 | 75 | 57 | 56 | 64 | 80 | 54 | 71 | 66 | 67 | 44 | 44 | 0 | 50 | 60 | 0 | 23 | 1 | 825,000$ | ||||
8 | Aleksi Saarela | X | 100.00 | 72 | 69 | 91 | 65 | 70 | 69 | 74 | 57 | 74 | 55 | 57 | 66 | 56 | 47 | 48 | 0 | 50 | 59 | 0 | 23 | 1 | 700,000$ | ||||
9 | Nolan Foote (R) | X | 100.00 | 76 | 74 | 80 | 73 | 74 | 58 | 57 | 62 | 50 | 60 | 60 | 65 | 57 | 44 | 44 | 0 | 50 | 59 | 0 | 19 | 3 | 894,167$ | ||||
10 | Mikey Eyssimont | X | X | 100.00 | 63 | 67 | 65 | 67 | 67 | 66 | 69 | 56 | 73 | 53 | 55 | 59 | 53 | 44 | 44 | 0 | 50 | 56 | 0 | 24 | 1 | 525,000$ | |||
11 | Pavel Dorofeyev (R) | X | X | 100.00 | 71 | 63 | 89 | 66 | 63 | 60 | 61 | 58 | 50 | 47 | 65 | 61 | 62 | 44 | 44 | 0 | 50 | 56 | 0 | 19 | 3 | 925,000$ | |||
12 | William Lagesson | X | 100.00 | 71 | 43 | 86 | 65 | 76 | 64 | 53 | 56 | 25 | 49 | 47 | 78 | 25 | 46 | 46 | 0 | 50 | 61 | 0 | 24 | 4 | 800,000$ | ||||
13 | Steven Santini | X | 100.00 | 79 | 76 | 87 | 72 | 76 | 55 | 56 | 54 | 25 | 39 | 53 | 67 | 50 | 55 | 55 | 0 | 50 | 60 | 0 | 25 | 3 | 1,000,000$ | ||||
14 | Dan Renouf | X | 100.00 | 76 | 44 | 75 | 62 | 74 | 54 | 62 | 55 | 25 | 52 | 47 | 70 | 25 | 55 | 55 | 0 | 50 | 59 | 0 | 26 | 2 | 700,000$ | ||||
15 | Nick Seeler | X | 100.00 | 75 | 81 | 68 | 65 | 77 | 55 | 58 | 52 | 25 | 45 | 44 | 67 | 24 | 55 | 56 | 0 | 50 | 58 | 0 | 27 | 3 | 2,000,000$ | ||||
16 | Brinson Pasichnuk (R) | X | 100.00 | 79 | 74 | 91 | 68 | 74 | 59 | 63 | 48 | 25 | 40 | 40 | 63 | 38 | 44 | 44 | 0 | 50 | 57 | 0 | 22 | 2 | 925,000$ | ||||
17 | Declan Chisholm (R) | X | 100.00 | 74 | 71 | 81 | 67 | 71 | 64 | 67 | 52 | 25 | 49 | 41 | 61 | 39 | 44 | 44 | 0 | 50 | 57 | 0 | 20 | 4 | 815,000$ | ||||
18 | Lukas Sedlak | X | X | 100.00 | 60 | 43 | 86 | 68 | 71 | 46 | 42 | 43 | 63 | 38 | 47 | 61 | 46 | 44 | 37 | 0 | 50 | 50 | 0 | 27 | 2 | 999,999$ | |||
19 | Wyatt Newpower (R) | X | 100.00 | 76 | 73 | 83 | 60 | 73 | 55 | 56 | 53 | 25 | 46 | 46 | 62 | 44 | 44 | 44 | 0 | 50 | 56 | 0 | 22 | 4 | 800,000$ | ||||
20 | Jack Ahcan (R) | X | 100.00 | 70 | 64 | 84 | 66 | 64 | 54 | 55 | 54 | 25 | 52 | 41 | 60 | 39 | 44 | 44 | 0 | 50 | 55 | 0 | 23 | 1 | 825,000$ | ||||
21 | Dmitri Samorukov (R) | X | 100.00 | 73 | 74 | 84 | 61 | 74 | 60 | 65 | 44 | 25 | 35 | 38 | 61 | 37 | 44 | 44 | 0 | 50 | 55 | 0 | 21 | 2 | 825,000$ | ||||
22 | Yegor Zamula (R) | X | 100.00 | 75 | 68 | 91 | 68 | 68 | 54 | 56 | 48 | 25 | 42 | 39 | 61 | 37 | 44 | 44 | 0 | 50 | 55 | 0 | 20 | 3 | 756,667$ | ||||
23 | Cameron Crotty (R) | X | 100.00 | 77 | 70 | 93 | 62 | 70 | 56 | 59 | 45 | 25 | 34 | 40 | 61 | 38 | 44 | 44 | 0 | 50 | 54 | 0 | 21 | 3 | 925,000$ | ||||
24 | Victor Soderstrom (R) | X | 100.00 | 72 | 64 | 90 | 60 | 64 | 59 | 62 | 50 | 25 | 43 | 41 | 60 | 39 | 44 | 44 | 0 | 50 | 54 | 0 | 19 | 3 | 894,167$ | ||||
25 | Blake Hillman | X | 100.00 | 69 | 68 | 84 | 55 | 68 | 48 | 51 | 42 | 25 | 32 | 37 | 59 | 36 | 44 | 44 | 0 | 50 | 51 | 0 | 24 | 3 | 1,400,000$ | ||||
MOYENNE D’ÉQUIPE | 99.41 | 75 | 57 | 86 | 71 | 71 | 64 | 67 | 61 | 44 | 56 | 55 | 67 | 42 | 53 | 54 | 0 | 50 | 61 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# |
Nom du gardien |
CON |
SK |
DU |
EN |
SZ |
AG |
RB |
SC |
HS |
RT |
PH |
PS |
EX |
LD |
PO |
MO |
OV |
TA |
SP | Âge | Contrat | Salaire moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jacob Ingham (R) | 100.00 | 67 | 54 | 68 | 78 | 70 | 66 | 72 | 76 | 71 | 71 | 30 | 44 | 44 | 0 | 50 | 66 | 0 | 20 | 6 | 1,000,000$ | |
2 | Jeremy Helvig (R) | 100.00 | 61 | 52 | 65 | 79 | 65 | 62 | 58 | 65 | 62 | 61 | 30 | 44 | 44 | 0 | 50 | 60 | 0 | 23 | 1 | 525,000$ | |
Rayé | |||||||||||||||||||||||
Équipe Mineure | |||||||||||||||||||||||
1 | Ville Husso | 100.00 | 56 | 57 | 68 | 81 | 59 | 55 | 57 | 59 | 60 | 57 | 75 | 45 | 45 | 0 | 50 | 58 | 0 | 25 | 3 | 900,000$ | |
2 | Jiri Patera (R) | 100.00 | 49 | 55 | 69 | 80 | 47 | 49 | 50 | 55 | 48 | 48 | 30 | 44 | 44 | 0 | 50 | 53 | 0 | 21 | 3 | 800,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 58 | 55 | 68 | 80 | 60 | 58 | 59 | 64 | 60 | 59 | 41 | 44 | 44 | 0 | 50 | 59 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# |
Nom du joueur |
Nom de l’équipe | POS | GP |
G |
A |
P |
+/- |
PIM |
PIM5 |
HIT |
HTT |
SHT |
OSB |
OSM |
SHT% |
SB |
MP |
AMG |
PPG |
PPA |
PPP |
PPS |
PPM |
PKG |
PKA |
PKP |
PKS |
PKM |
GW |
GT |
FO% |
FOT |
GA |
TA |
EG |
HT |
P/20 |
PSG |
PSS |
FW |
FL |
FT |
S1 |
S2 |
S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jason Robertson | Chicago | LW | 76 | 24 | 28 | 52 | -35 | 36 | 20 | 58 | 99 | 241 | 71 | 182 | 9.96% | 5 | 1480 | 19.47 | 7 | 7 | 14 | 40 | 170 | 0 | 0 | 0 | 0 | 31 | 3 | 1 | 41.00% | 100 | 0 | 0 | 0 | 1 | 0.70 | 0 | 2 | 1 | 1 | 2 | 2 | 2 | 2 |
2 | Charlie McAvoy | Chicago | D | 68 | 11 | 40 | 51 | -24 | 34 | 0 | 137 | 105 | 124 | 21 | 58 | 8.87% | 118 | 1656 | 24.36 | 7 | 13 | 20 | 73 | 193 | 0 | 1 | 1 | 0 | 72 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 1 |
3 | Conor Garland | Chicago | LW/RW | 82 | 21 | 24 | 45 | -28 | 2 | 0 | 55 | 95 | 252 | 61 | 202 | 8.33% | 13 | 1571 | 19.17 | 4 | 8 | 12 | 34 | 196 | 0 | 0 | 0 | 0 | 2 | 5 | 2 | 37.27% | 110 | 0 | 0 | 0 | 0 | 0.57 | 1 | 2 | 0 | 0 | 0 | 1 | 3 | 4 |
4 | Jonathan Drouin | Chicago | LW/RW | 82 | 7 | 35 | 42 | -19 | 26 | 0 | 101 | 109 | 139 | 41 | 107 | 5.04% | 5 | 1445 | 17.63 | 0 | 12 | 12 | 15 | 184 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 28.30% | 106 | 0 | 0 | 0 | 0 | 0.58 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 |
5 | Colin White | Chicago | C/RW | 75 | 12 | 20 | 32 | -25 | 24 | 0 | 117 | 99 | 181 | 44 | 114 | 6.63% | 12 | 1213 | 16.17 | 3 | 5 | 8 | 29 | 147 | 0 | 0 | 0 | 1 | 21 | 1 | 1 | 47.97% | 1032 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 |
6 | Trevor van Riemsdyk | Chicago | D | 82 | 5 | 19 | 24 | -31 | 20 | 0 | 69 | 66 | 74 | 23 | 48 | 6.76% | 133 | 1592 | 19.42 | 4 | 2 | 6 | 15 | 74 | 0 | 0 | 0 | 0 | 159 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7 | Zach Whitecloud | Chicago | D | 82 | 3 | 21 | 24 | -24 | 46 | 0 | 115 | 45 | 70 | 33 | 46 | 4.29% | 73 | 1518 | 18.51 | 3 | 7 | 10 | 32 | 188 | 0 | 0 | 0 | 0 | 65 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 |
8 | Darren Helm | Chicago | LW | 82 | 7 | 14 | 21 | -2 | 4 | 0 | 27 | 65 | 117 | 27 | 85 | 5.98% | 12 | 775 | 9.45 | 0 | 0 | 0 | 1 | 6 | 2 | 0 | 2 | 5 | 138 | 0 | 0 | 40.00% | 50 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 |
9 | Tyson Jost | Chicago | C/LW | 82 | 9 | 12 | 21 | -26 | 12 | 0 | 55 | 159 | 148 | 37 | 120 | 6.08% | 8 | 1186 | 14.48 | 1 | 0 | 1 | 13 | 64 | 0 | 0 | 0 | 1 | 87 | 1 | 2 | 47.70% | 1501 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 |
10 | K'Andre Miller | Chicago | D | 55 | 2 | 18 | 20 | -12 | 47 | 5 | 87 | 55 | 50 | 20 | 36 | 4.00% | 85 | 1161 | 21.11 | 0 | 2 | 2 | 14 | 32 | 0 | 1 | 1 | 0 | 112 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 |
11 | Jay Beagle | Chicago | C | 73 | 9 | 10 | 19 | 1 | 2 | 0 | 38 | 130 | 94 | 23 | 70 | 9.57% | 23 | 786 | 10.78 | 0 | 0 | 0 | 1 | 2 | 0 | 1 | 1 | 4 | 201 | 1 | 0 | 53.77% | 1101 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
12 | Lawson Crouse | Chicago | LW/RW | 82 | 11 | 8 | 19 | -18 | 71 | 15 | 209 | 94 | 111 | 43 | 85 | 9.91% | 29 | 1225 | 14.95 | 2 | 0 | 2 | 10 | 40 | 0 | 0 | 0 | 5 | 151 | 1 | 1 | 28.26% | 92 | 0 | 0 | 0 | 0 | 0.31 | 2 | 2 | 0 | 2 | 1 | 1 | 2 | 0 |
13 | Corey Perry | Chicago | RW | 82 | 6 | 8 | 14 | -27 | 20 | 0 | 104 | 28 | 89 | 24 | 74 | 6.74% | 6 | 911 | 11.11 | 0 | 1 | 1 | 5 | 48 | 0 | 0 | 0 | 0 | 12 | 2 | 1 | 36.92% | 65 | 0 | 0 | 0 | 0 | 0.31 | 2 | 2 | 0 | 0 | 0 | 2 | 1 | 1 |
14 | Jack Studnicka | Chicago | C/RW | 28 | 3 | 5 | 8 | -9 | 0 | 0 | 10 | 43 | 57 | 8 | 46 | 5.26% | 3 | 431 | 15.42 | 1 | 2 | 3 | 12 | 63 | 0 | 0 | 0 | 0 | 14 | 1 | 1 | 47.79% | 362 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
15 | Kevin Stenlund | Chicago | C/RW | 39 | 6 | 2 | 8 | -1 | 2 | 0 | 10 | 14 | 32 | 5 | 16 | 18.75% | 0 | 408 | 10.47 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 7 | 1 | 2 | 39.05% | 169 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 |
16 | Robert Hagg | Chicago | D | 61 | 3 | 4 | 7 | -24 | 45 | 5 | 152 | 27 | 28 | 8 | 14 | 10.71% | 56 | 1063 | 17.43 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 1 | 0 | 101 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
17 | Jeremy Davies | Chicago | D | 25 | 0 | 6 | 6 | -5 | 10 | 0 | 19 | 13 | 23 | 8 | 18 | 0.00% | 27 | 496 | 19.86 | 0 | 1 | 1 | 11 | 63 | 0 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Artem Anisimov | Chicago | C/LW | 41 | 4 | 1 | 5 | -14 | 8 | 0 | 8 | 72 | 52 | 10 | 41 | 7.69% | 7 | 532 | 12.99 | 1 | 0 | 1 | 6 | 33 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 44.85% | 272 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
19 | Arthur Kaliyev | Baby Hawks (Chi) | LW/RW | 16 | 1 | 1 | 2 | -2 | 8 | 0 | 27 | 7 | 39 | 7 | 27 | 2.56% | 0 | 246 | 15.40 | 1 | 0 | 1 | 7 | 47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 12 | 0 | 0 | 0 | 0 | 0.16 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
20 | Brogan Rafferty | Chicago | D | 9 | 0 | 2 | 2 | 2 | 6 | 0 | 10 | 2 | 3 | 0 | 4 | 0.00% | 10 | 157 | 17.47 | 0 | 0 | 0 | 2 | 22 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
21 | Steven Santini | Baby Hawks (Chi) | D | 9 | 0 | 2 | 2 | -2 | 2 | 0 | 18 | 2 | 4 | 4 | 5 | 0.00% | 15 | 160 | 17.86 | 0 | 0 | 0 | 1 | 20 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
22 | Jack Ahcan | Baby Hawks (Chi) | D | 14 | 1 | 0 | 1 | -5 | 2 | 0 | 14 | 4 | 7 | 3 | 2 | 14.29% | 11 | 243 | 17.41 | 0 | 0 | 0 | 2 | 41 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
23 | Lucas Wallmark | Baby Hawks (Chi) | C/LW | 8 | 0 | 0 | 0 | -1 | 0 | 0 | 6 | 6 | 5 | 2 | 6 | 0.00% | 2 | 64 | 8.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 60.00% | 65 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
24 | William Lagesson | Baby Hawks (Chi) | D | 2 | 0 | 0 | 0 | -3 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0.00% | 0 | 37 | 18.81 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
25 | Dan Renouf | Baby Hawks (Chi) | D | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0.00% | 1 | 15 | 15.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 1256 | 145 | 280 | 425 | -331 | 427 | 45 | 1449 | 1341 | 1942 | 523 | 1406 | 7.47% | 654 | 20382 | 16.23 | 34 | 60 | 94 | 323 | 1649 | 2 | 4 | 6 | 18 | 1280 | 19 | 11 | 47.46% | 5038 | 0 | 0 | 0 | 1 | 0.42 | 5 | 10 | 1 | 4 | 4 | 17 | 18 | 20 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jacob Ingham | Chicago | 32 | 11 | 18 | 2 | 0.915 | 2.79 | 1762 | 4 | 2 | 82 | 962 | 0 | 0 | 0 | 0.500 | 10 | 31 | 42 | 4 | 2 | 0 |
2 | Ville Husso | Baby Hawks (Chi) | 7 | 2 | 5 | 0 | 0.891 | 4.44 | 378 | 0 | 0 | 28 | 256 | 0 | 0 | 1 | 0.000 | 0 | 7 | 2 | 1 | 0 | 0 |
3 | Jeremy Helvig | Chicago | 15 | 2 | 7 | 1 | 0.907 | 3.32 | 759 | 2 | 1 | 42 | 451 | 0 | 0 | 0 | 0.333 | 3 | 10 | 30 | 1 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 54 | 15 | 30 | 3 | 0.909 | 3.15 | 2900 | 6 | 3 | 152 | 1669 | 0 | 0 | 1 | 0.462 | 13 | 48 | 74 | 6 | 2 | 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 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Artem Anisimov | Chicago | C/LW | 32 | 1988-05-23 | No | 199 Lbs | 6 ft4 | Yes | No | No | 6 | Pro & Farm | 1,750,000$ | 1,750,000$ | 0$ | No | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | Lien | |||||
Brogan Rafferty | Chicago | D | 25 | 1995-05-27 | No | 195 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 1,100,000$ | 1,100,000$ | 0$ | No | Lien | ||||||||||
Charlie McAvoy | Chicago | D | 22 | 1997-12-20 | No | 208 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | No | Lien | ||||||||||
Colin White | Chicago | C/RW | 23 | 1997-01-30 | No | 197 Lbs | 5 ft11 | No | No | No | 5 | Pro & Farm | 3,000,000$ | 3,000,000$ | 0$ | No | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | Lien | ||||||
Conor Garland | Chicago | LW/RW | 24 | 1996-03-11 | No | 165 Lbs | 5 ft10 | No | No | No | 4 | Pro & Farm | 4,000,000$ | 4,000,000$ | 0$ | No | 4,000,000$ | 4,000,000$ | 4,000,000$ | Lien | |||||||
Corey Perry | Chicago | RW | 35 | 1985-05-16 | No | 206 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 4,000,000$ | 7,000,000$ | 0$ | No | Lien | ||||||||||
Darren Helm | Chicago | LW | 33 | 1987-01-21 | No | 192 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 4,000,000$ | 4,000,000$ | 0$ | No | 4,000,000$ | 4,000,000$ | Lien | ||||||||
Jack Studnicka | Chicago | C/RW | 21 | 1999-02-18 | No | 171 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 769,168$ | 769,168$ | 0$ | No | 769,168$ | 769,168$ | Lien | ||||||||
Jacob Ingham | Chicago | G | 20 | 2000-06-09 | Yes | 186 Lbs | 6 ft4 | Yes | No | No | 6 | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | No | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | Lien | |||||
Jason Robertson | Chicago | LW | 21 | 1999-07-22 | No | 210 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 795,000$ | 795,000$ | 0$ | No | 795,000$ | 795,000$ | Lien | ||||||||
Jay Beagle | Chicago | C | 34 | 1985-10-16 | No | 210 Lbs | 6 ft3 | Yes | No | No | 6 | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | No | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | Lien | |||||
Jeremy Davies | Chicago | D | 23 | 1996-12-04 | No | 180 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | No | 925,000$ | Lien | |||||||||
Jeremy Helvig | Chicago | G | 23 | 1997-05-24 | Yes | 188 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 525,000$ | 525,000$ | 0$ | No | Lien | ||||||||||
Jonathan Drouin | Chicago | LW/RW | 25 | 1995-03-28 | No | 201 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 5,000,000$ | 5,000,000$ | 0$ | No | 5,000,000$ | 5,000,000$ | Lien | ||||||||
K'Andre Miller (sur la masse salariale) | Chicago | D | 20 | 2000-01-21 | Yes | 210 Lbs | 6 ft5 | No | No | No | 4 | Pro & Farm | 925,000$ | 0$ | 0$ | Yes | 925,000$ | 925,000$ | 925,000$ | Lien | |||||||
Kevin Stenlund | Chicago | C/RW | 24 | 1996-09-20 | No | 215 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 1,200,000$ | 1,200,000$ | 0$ | No | Lien | ||||||||||
Lawson Crouse | Chicago | LW/RW | 23 | 1997-06-23 | No | 220 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 1,100,000$ | 1,100,000$ | 0$ | No | 1,100,000$ | Lien | |||||||||
Robert Hagg | Chicago | D | 25 | 1995-02-08 | No | 204 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,500,000$ | 1,500,000$ | 0$ | No | Lien | ||||||||||
Trevor van Riemsdyk | Chicago | D | 29 | 1991-07-24 | No | 188 Lbs | 6 ft2 | Yes | No | No | 6 | Pro & Farm | 1,500,000$ | 1,500,000$ | 0$ | No | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | Lien | |||||
Tyson Jost | Chicago | C/LW | 22 | 1998-03-14 | No | 187 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 1,550,000$ | 1,550,000$ | 0$ | No | 1,550,000$ | Lien | |||||||||
Zach Whitecloud | Chicago | D | 23 | 1996-11-28 | No | 209 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | No | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
21 | 25.10 | 197 Lbs | 6 ft2 | 2.95 | 1,785,198$ |
Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
---|---|---|---|---|
37,489,168$ | 27,314,168$ | 23,739,168$ | 13,175,000$ | 8,250,000$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Colin White | Conor Garland | 40 | 1 | 2 | 2 | |
2 | Lawson Crouse | Tyson Jost | Jonathan Drouin | 30 | 1 | 2 | 2 |
3 | Artem Anisimov | Jay Beagle | Jack Studnicka | 20 | 1 | 2 | 2 |
4 | Darren Helm | Kevin Stenlund | Corey Perry | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Charlie McAvoy | 80 | 0 | 0 | 5 | ||
2 | Zach Whitecloud | Robert Hagg | 10 | 1 | 2 | 2 | |
3 | Jeremy Davies | Brogan Rafferty | 10 | 1 | 2 | 2 | |
4 | Charlie McAvoy | 0 | 1 | 2 | 2 |
Attaque en svantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Colin White | Conor Garland | 60 | 0 | 0 | 5 | |
2 | Lawson Crouse | Tyson Jost | Jonathan Drouin | 40 | 0 | 0 | 5 |
Défense en svantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Charlie McAvoy | Zach Whitecloud | 99 | 0 | 0 | 5 | |
2 | Jeremy Davies | Brogan Rafferty | 1 | 0 | 0 | 5 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Jay Beagle | Darren Helm | 60 | 1 | 3 | 1 |
2 | Jack Studnicka | Artem Anisimov | 40 | 1 | 3 | 1 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Charlie McAvoy | 99 | 1 | 3 | 1 | |
2 | Zach Whitecloud | Robert Hagg | 1 | 1 | 3 | 1 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Jay Beagle | 60 | 1 | 4 | 0 | Charlie McAvoy | 60 | 1 | 4 | 0 | |
2 | Darren Helm | 40 | 1 | 4 | 0 | Zach Whitecloud | Robert Hagg | 40 | 1 | 4 | 0 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Colin White | Conor Garland | 60 | 1 | 2 | 2 |
2 | Tyson Jost | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Charlie McAvoy | 99 | 1 | 2 | 2 | |
2 | Zach Whitecloud | Robert Hagg | 1 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Colin White | Conor Garland | Charlie McAvoy | Zach Whitecloud |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Darren Helm | Jay Beagle | Lawson Crouse | Charlie McAvoy |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Jack Studnicka, Darren Helm, Artem Anisimov | Jack Studnicka, Corey Perry | Corey Perry |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Jeremy Davies, Brogan Rafferty, Zach Whitecloud | Jeremy Davies | Brogan Rafferty, Zach Whitecloud |
Tirs de pénalité |
---|
, Conor Garland, Lawson Crouse, Corey Perry, Darren Helm |
Gardien |
---|
#1 : Jacob Ingham, #2 : Jeremy Helvig |
Lignes d’attaque personnalisées en prolongation |
---|
, Conor Garland, Lawson Crouse, Corey Perry, Darren Helm, Tyson Jost, Tyson Jost, Colin White, Artem Anisimov, Jonathan Drouin, Jay Beagle |
Lignes de défense personnalisées en prolongation |
---|
Charlie McAvoy, , Zach Whitecloud, Robert Hagg, Jeremy Davies |
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 |
1 | Anaheim | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 10 | 13 | -3 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 8 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 1 | 0.167 | 10 | 18 | 28 | 0 | 0 | 4 | 4 | 2 | 0 | 85 | 21 | 23 | 41 | 0 | 107 | 44 | 16 | 70 | 7 | 2 | 28.57% | 8 | 1 | 87.50% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 67 | 45 | 72 | 21 | 39 | 19 |
2 | Boston | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 55 | 19 | 23 | 13 | 0 | 69 | 28 | 8 | 52 | 5 | 2 | 40.00% | 4 | 2 | 50.00% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 45 | 30 | 47 | 14 | 26 | 13 |
3 | Buffalo | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 56 | 17 | 18 | 21 | 0 | 72 | 12 | 4 | 40 | 11 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 43 | 30 | 49 | 15 | 27 | 13 |
4 | Calgary | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 80 | 31 | 22 | 27 | 0 | 101 | 28 | 22 | 64 | 10 | 2 | 20.00% | 11 | 1 | 90.91% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 60 | 38 | 82 | 23 | 37 | 18 |
5 | Caroline | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 1 | 0 | 50 | 18 | 20 | 12 | 0 | 69 | 25 | 20 | 40 | 2 | 1 | 50.00% | 10 | 1 | 90.00% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 42 | 28 | 51 | 15 | 26 | 11 |
6 | Colorado | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.250 | 7 | 13 | 20 | 0 | 0 | 4 | 2 | 1 | 0 | 92 | 33 | 25 | 34 | 0 | 143 | 40 | 24 | 85 | 13 | 4 | 30.77% | 12 | 0 | 100.00% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 87 | 58 | 103 | 29 | 49 | 24 |
7 | Columbus | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 3 | 0 | 64 | 17 | 17 | 30 | 0 | 70 | 12 | 15 | 46 | 7 | 1 | 14.29% | 5 | 1 | 80.00% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 46 | 32 | 48 | 15 | 25 | 11 |
8 | Dallas | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 12 | 12 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 0.500 | 12 | 20 | 32 | 0 | 0 | 4 | 6 | 1 | 1 | 116 | 26 | 43 | 45 | 2 | 158 | 37 | 28 | 71 | 9 | 1 | 11.11% | 14 | 3 | 78.57% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 94 | 66 | 99 | 28 | 48 | 23 |
9 | Detroit | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 41 | 16 | 10 | 15 | 0 | 79 | 18 | 14 | 43 | 4 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 42 | 28 | 51 | 15 | 26 | 13 |
10 | Edmonton | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 0.667 | 7 | 14 | 21 | 0 | 0 | 3 | 0 | 4 | 0 | 86 | 31 | 20 | 35 | 0 | 93 | 35 | 10 | 66 | 9 | 1 | 11.11% | 5 | 0 | 100.00% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 66 | 44 | 76 | 22 | 37 | 19 |
11 | Hartford | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 3 | 3 | 1 | 0 | 79 | 21 | 28 | 30 | 0 | 61 | 13 | 12 | 38 | 8 | 2 | 25.00% | 5 | 2 | 60.00% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 50 | 34 | 42 | 14 | 26 | 13 |
12 | Islanders | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 0 | 3 | 3 | 0 | 69 | 20 | 24 | 25 | 0 | 88 | 16 | 8 | 48 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 42 | 28 | 52 | 14 | 25 | 11 |
13 | Kansas City | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 15 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 7 | 13 | 20 | 0 | 0 | 4 | 1 | 2 | 0 | 67 | 21 | 24 | 22 | 0 | 108 | 29 | 14 | 48 | 14 | 2 | 14.29% | 7 | 3 | 57.14% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 68 | 45 | 70 | 23 | 40 | 19 |
14 | LA Kings | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 14 | 8 | 6 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 6 | 1.000 | 14 | 25 | 39 | 0 | 0 | 6 | 4 | 3 | 3 | 96 | 36 | 33 | 26 | 5 | 96 | 30 | 20 | 55 | 6 | 1 | 16.67% | 9 | 0 | 100.00% | 1 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 72 | 49 | 73 | 21 | 38 | 19 |
15 | Las Vegas | 3 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 11 | 6 | 5 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 3 | 4 | 6 | 1.000 | 11 | 21 | 32 | 0 | 1 | 3 | 3 | 3 | 2 | 88 | 31 | 29 | 26 | 2 | 89 | 20 | 17 | 66 | 9 | 1 | 11.11% | 6 | 1 | 83.33% | 1 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 70 | 48 | 71 | 21 | 38 | 19 |
16 | Minnesota | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 21 | -12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 0 | 0.000 | 9 | 15 | 24 | 1 | 0 | 4 | 2 | 3 | 0 | 131 | 54 | 31 | 46 | 0 | 137 | 40 | 31 | 80 | 7 | 2 | 28.57% | 12 | 1 | 91.67% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 91 | 64 | 99 | 27 | 49 | 23 |
17 | Montreal | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 52 | 20 | 15 | 17 | 0 | 97 | 22 | 12 | 54 | 9 | 3 | 33.33% | 5 | 2 | 60.00% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 39 | 25 | 55 | 16 | 25 | 11 |
18 | Nashville | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 14 | 14 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 4 | 0.400 | 14 | 25 | 39 | 0 | 1 | 2 | 8 | 4 | 0 | 154 | 52 | 50 | 52 | 0 | 161 | 49 | 40 | 101 | 12 | 4 | 33.33% | 16 | 3 | 81.25% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 120 | 87 | 118 | 35 | 60 | 29 |
19 | Ottawa | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 0.500 | 3 | 6 | 9 | 1 | 0 | 1 | 0 | 2 | 0 | 51 | 13 | 23 | 15 | 0 | 64 | 18 | 20 | 37 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 46 | 32 | 48 | 14 | 25 | 12 |
20 | Philadelphie | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 56 | 15 | 24 | 17 | 0 | 75 | 14 | 14 | 44 | 5 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 44 | 30 | 49 | 15 | 25 | 12 |
21 | Pittsburgh | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 50 | 18 | 8 | 24 | 0 | 75 | 29 | 22 | 46 | 3 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 38 | 24 | 57 | 15 | 24 | 10 |
22 | Quebec | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 55 | 17 | 20 | 18 | 0 | 68 | 21 | 4 | 35 | 6 | 1 | 16.67% | 2 | 1 | 50.00% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 44 | 30 | 50 | 14 | 25 | 12 |
23 | Rangers | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | 6 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 3 | 0.750 | 6 | 9 | 15 | 0 | 0 | 2 | 2 | 1 | 2 | 71 | 26 | 27 | 14 | 10 | 67 | 10 | 2 | 53 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 54 | 38 | 46 | 14 | 28 | 15 |
24 | San Jose | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 4 | 9 | -5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.167 | 4 | 8 | 12 | 0 | 0 | 3 | 0 | 1 | 0 | 87 | 28 | 27 | 26 | 8 | 106 | 33 | 27 | 63 | 9 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 70 | 48 | 74 | 22 | 40 | 19 |
25 | St-Louis | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 10 | 13 | -3 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 4 | 0.500 | 10 | 18 | 28 | 0 | 0 | 2 | 1 | 6 | 1 | 129 | 43 | 35 | 49 | 2 | 126 | 44 | 24 | 81 | 10 | 3 | 30.00% | 7 | 1 | 85.71% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 93 | 63 | 98 | 29 | 50 | 24 |
26 | Tampa Bay | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 60 | 17 | 26 | 17 | 0 | 52 | 13 | 13 | 41 | 4 | 2 | 50.00% | 4 | 0 | 100.00% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 47 | 34 | 47 | 13 | 24 | 12 |
27 | Toronto | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 5 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 0 | 1 | 55 | 17 | 20 | 17 | 1 | 54 | 12 | 8 | 35 | 8 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 52 | 36 | 43 | 13 | 25 | 13 |
28 | Vancouver | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 4 | 0.667 | 8 | 16 | 24 | 0 | 0 | 2 | 5 | 1 | 0 | 82 | 19 | 23 | 40 | 0 | 101 | 27 | 18 | 59 | 8 | 1 | 12.50% | 8 | 2 | 75.00% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 66 | 45 | 77 | 21 | 35 | 16 |
29 | Washington | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 4 | 0 | 0 | 65 | 15 | 31 | 19 | 0 | 74 | 25 | 10 | 41 | 6 | 1 | 16.67% | 5 | 2 | 60.00% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 43 | 30 | 51 | 15 | 25 | 12 |
30 | Winnipeg | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 12 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 0.400 | 9 | 14 | 23 | 0 | 1 | 4 | 2 | 3 | 0 | 126 | 42 | 40 | 44 | 0 | 189 | 59 | 28 | 119 | 13 | 1 | 7.69% | 13 | 2 | 84.62% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 110 | 74 | 124 | 37 | 64 | 31 |
Total | 82 | 22 | 50 | 0 | 5 | 1 | 2 | 2 | 191 | 259 | -68 | 41 | 9 | 27 | 0 | 2 | 1 | 1 | 1 | 96 | 131 | -35 | 41 | 13 | 23 | 0 | 3 | 0 | 1 | 1 | 95 | 128 | -33 | 61 | 0.372 | 191 | 342 | 533 | 2 | 3 | 66 | 64 | 54 | 10 | 2348 | 754 | 759 | 817 | 30 | 2849 | 803 | 505 | 1721 | 225 | 41 | 18.22% | 213 | 35 | 83.57% | 2 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 1867 | 1278 | 2035 | 604 | 1044 | 509 | |
_Since Last GM Reset | 82 | 22 | 50 | 0 | 5 | 1 | 2 | 2 | 191 | 259 | -68 | 41 | 9 | 27 | 0 | 2 | 1 | 1 | 1 | 96 | 131 | -35 | 41 | 13 | 23 | 0 | 3 | 0 | 1 | 1 | 95 | 128 | -33 | 61 | 0.372 | 191 | 342 | 533 | 2 | 3 | 66 | 64 | 54 | 10 | 2348 | 754 | 759 | 817 | 30 | 2849 | 803 | 505 | 1721 | 225 | 41 | 18.22% | 213 | 35 | 83.57% | 2 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 1867 | 1278 | 2035 | 604 | 1044 | 509 | |
_Vs Conference | 50 | 14 | 29 | 0 | 4 | 1 | 1 | 1 | 124 | 160 | -36 | 25 | 5 | 16 | 0 | 2 | 1 | 1 | 0 | 62 | 83 | -21 | 25 | 9 | 13 | 0 | 2 | 0 | 0 | 1 | 62 | 77 | -15 | 40 | 0.400 | 124 | 223 | 347 | 1 | 3 | 46 | 38 | 35 | 7 | 1419 | 468 | 425 | 513 | 19 | 1715 | 515 | 319 | 1028 | 136 | 25 | 18.38% | 134 | 20 | 85.07% | 2 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 1141 | 782 | 1242 | 365 | 631 | 309 | |
_Vs Division | 26 | 7 | 17 | 0 | 2 | 0 | 0 | 0 | 61 | 85 | -24 | 13 | 2 | 10 | 0 | 1 | 0 | 0 | 0 | 29 | 46 | -17 | 13 | 5 | 7 | 0 | 1 | 0 | 0 | 0 | 32 | 39 | -7 | 18 | 0.346 | 61 | 105 | 166 | 1 | 2 | 20 | 21 | 18 | 2 | 748 | 250 | 224 | 270 | 4 | 914 | 269 | 175 | 537 | 64 | 15 | 23.44% | 74 | 10 | 86.49% | 0 | 1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% | 598 | 414 | 643 | 187 | 324 | 157 |
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 |
82 | 61 | W1 | 191 | 342 | 533 | 2348 | 2849 | 803 | 505 | 1721 | 2 | 3 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
82 | 22 | 50 | 5 | 1 | 2 | 2 | 191 | 259 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
41 | 9 | 27 | 2 | 1 | 1 | 1 | 96 | 131 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
41 | 13 | 23 | 3 | 0 | 1 | 1 | 95 | 128 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
3 | 7 | 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 |
---|---|---|---|---|---|---|
225 | 41 | 18.22% | 213 | 35 | 83.57% | 2 |
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 |
---|---|---|---|---|---|---|---|
754 | 759 | 817 | 30 | 66 | 64 | 54 | 10 |
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 |
1225 | 2635 | 46.49% | 1414 | 2929 | 48.28% | 566 | 1217 | 46.51% |
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 |
1867 | 1278 | 2035 | 604 | 1044 | 509 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Capacité de l’aréna - Tendance du prix des billets - % | |||||
---|---|---|---|---|---|
Niveau 1 | Niveau 2 | Niveau 3 | Niveau 4 | Luxe | |
Capacité | 7000 | 6000 | 2500 | 5000 | 1500 |
Prix des billets | 200 | 100 | 99 | 98 | 400 |
Assistance | 153,975 | 148,653 | 56,905 | 82,000 | 32,250 |
Attendance PCT | 53.65% | 60.43% | 55.52% | 40.00% | 52.44% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
0 | 11556 - 52.53% | 1,761,705$ | 72,229,895$ | 22000 | 100 |
Dépenses | ||||
---|---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
48,605,529$ | 37,489,168$ | 40,489,168$ | 0$ | 1,623,656$ |
Plafond salarial par jour | Plafond salarial à ce jour | Taxe de luxe totale | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|---|
211,573$ | 50,314,380$ | 0$ | 20 | 1 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 0 | 200,477$ | 0$ |
Total de l’équipe estimé | ||
---|---|---|
Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
0$ | 425,966,651$ | 425,966,651$ |
Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
---|---|---|---|
54,590,851$ | 10,609,149$ | 65,200,000$ | 6,430,851$ |
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Priority | Type | Description |
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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 |
Espoir |
Nom de l’équipe | Année de repêchage |
Choix total |
Information |
Lien |
---|---|---|---|---|---|
Ben McCartney | Chicago | 2021 | 125 | ||
Brandt Clarke | Chicago | 2021 | 11 | ||
Carson Latimer | Chicago | 2021 | 162 | ||
Carter Gylander | Chicago | 2019 | 209 | ||
Chaz Lucius | Chicago | 2021 | 13 | ||
Cole Huckins | Chicago | 2021 | 73 | ||
Cole Perfetti | Chicago | 2020 | 4 | ||
David Tendeck | Chicago | 2020 | 133 | ||
Drew Commesso | Chicago | 2020 | 40 | ||
Erik Portillo | Chicago | 2019 | 84 | ||
Jan Bednar | Chicago | 2020 | 113 | ||
John-Jason Peterka | Chicago | 2020 | 25 | ||
Josh Doan | Chicago | 2021 | 63 | ||
Lukas Reichel | Chicago | 2020 | 19 | ||
Marat Khusnutdinov | Chicago | 2020 | 39 | ||
Martin Chromiak | Chicago | 2020 | 81 | ||
Mason Mctavish | Chicago | 2021 | 7 | ||
Mason Primeau | Chicago | 2019 | 217 | ||
Mavrik Bourque | Chicago | 2020 | 30 | ||
Michael Benning | Chicago | 2020 | 125 | ||
Pavel Gogolev | Chicago | 2020 | 207 | ||
Taige Harding | Chicago | 2021 | 155 | ||
Ty Smilanic | Chicago | 2020 | 78 | ||
Valentin Nussbaumer | Chicago | 2019 | 202 | ||
Veeti Miettinen | Chicago | 2020 | 145 | ||
Victor Stjernborg | Chicago | 2021 | 100 |
Année | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
---|---|---|---|---|---|---|---|
2022 | Chi | Chi | Chi Mon Phi | Chi Cal KC | Chi | Chi | |
2023 | Chi | Chi | Har Chi | Chi Pit | Chi | Chi | |
2024 | Chi | Chi | Chi | Chi | Tor Chi Ana | Chi | Chi |
2025 | Chi | Chi | Chi | Chi | Chi | Chi | Chi |
2026 | Chi | Chi | Chi | Chi | Chi | Chi | Chi |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Année |
GP |
W |
L |
T |
OTW |
OTL |
SOW |
SOL |
GF |
GA |
Diff |
GP |
W |
L |
T |
OTW |
OTL |
SOW |
SOL |
GF |
GA |
Diff |
GP |
W |
L |
T |
OTW |
OTL |
SOW |
SOL |
GF |
GA |
Diff |
P |
G |
A |
TP |
SO |
EG |
GP1 |
GP2 |
GP3 |
GP4 |
SHF |
SH1 |
SP2 |
SP3 |
SP4 |
SHA |
SHB |
Pim |
Hit |
PPA |
PPG |
PP% |
PKA |
PK GA |
PK% |
PK GF |
W OF FO |
T OF FO |
OF FO% |
W DF FO |
T DF FO |
DF FO% |
W NT FO |
T NT FO |
NT FO% |
PZ DF |
PZ OF |
PZ NT |
PC DF |
PC OF |
PC NT |