Day : 34
NYI - 3
WSH - 10
PIT - 4
NJD - 1
NSH - 2
WPG - 1
CHI - 6
ROB - 5
CHP - 3
HOU - 6
CHI - 8
LKE - 2
SJS - 2
DAN - 3
Day : 35
(9-4-2) - OTL1
(6-7-0) - W3
(10-6-1) - L1
(10-2-2) - W1
(7-7-1) - L1
(3-7-4) - OTL1
(9-7-0) - W2
(7-6-1) - W2
(9-6-0) - L1
(10-3-1) - L1
(13-2-2) - W3
(8-5-2) - OTL1
(1-12-3) - L5
(6-7-2) - L1
(12-4-1) - L2
(10-5-0) - W1
(9-6-1) - W2
(11-4-0) - W1
(6-8-2) - W2
(10-5-0) - L1
(7-7-2) - OTL1
(7-9-0) - W1
(8-7-2) - L2
(8-10-1) - L2
(9-6-0) - W1
(9-10-3) - W1
(6-8-2) - W1
(6-2-0) - W5

Meilleur 10 Statistiques des gardiens Pro En ordre décroissant par Win - Matchs joués minimum: 8

Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Igor ShestyorkinBoston Bruins1410310.9291.998450028392198011.0003143200
2Matt MurrayVegas Golden Knights129200.9331.966740022330178100.0000113120
3Juuse SarosSan Jose Sharks139300.9003.107170037370178101.0003132000
4Andrey VasilevskiyNew York Rangers148410.9182.417980232391219110.3333134301
5Jordan BinningtonColumbus Blue Jackets128310.9162.416730127322167101.0004125122
6Mackenzie BlackwoodVancouver Canucks138500.8993.157620040396191100.0000132020
7Thatcher DemkoPhiladelphia Flyers138410.9162.377840031369190100.0000134011
8Robin LehnerOttawa Senators128120.9311.787070121304159200.5006116111
9Ken ApplebyWinnipeg Jets188810.8993.129630050496265200.0000163020
10Carter HartNashville Predators108100.9281.935610118251129100.000096200




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