Day : 130
ANH - 4
EDM - 5
SJS - 5
OTT - 4
SEA - 4
BOS - 2
PIT - 4
CHI - 3
MTL - 3
CLB - 2
CGY - 2
UTA - 1
NYI - 2
TOR - 4
BUF - 4
PHI - 7
TBL - 3
FLA - 6
CAR - 4
NJD - 1
PRO - 4
NUU - 3
HAM - 8
CHI - 1
LKE - 1
BBA - 7
SJS - 5
SPR - 4
VER - 4
GRG - 5
RCH - 7
ALB - 6
POR - 4
MIL - 3
Day : 131
(49-12-3) - W4
(13-46-5) - L1
(43-14-4) - W6
(38-23-3) - W12
(29-31-4) - W2
(23-33-8) - W1
(39-21-4) - W1
(38-17-9) - W1
(22-31-4) - L3
(22-34-7) - L5
(34-25-1) - W3
(34-32-8) - SOL1
(38-17-2) - W4
(38-25-4) - W1
(29-24-5) - W1
(29-37-6) - L1
(20-37-6) - L1
(20-15-6) - W5
(32-22-4) - W1
(32-17-0) - W1

Meilleur 10 Statistiques des gardiens Pro En ordre décroissant par Win - Matchs joués minimum: 29

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
1Mackenzie BlackwoodVancouver Canucks53381220.9032.923121231521567778401.0007538331
2Carter HartNashville Predators4636530.9242.14271703971276673501.00024519533
3Matt MurrayVegas Golden Knights4735920.9162.492724011131342688300.00004613331
4Alexandar GeorgiyevDallas Stars56351830.9052.713322401501577809100.60015568543
5Juuse SarosSan Jose Sharks50341320.9122.682915421301469760130.80055013442
6Jordan BinningtonColumbus Blue Jackets50311240.9072.672853021271368709411.00095013434
7Sergei BobrovskySeattle Kraken47301230.9082.572799211201307655600.810214617314
8Igor ShestyorkinBoston Bruins51291650.9172.323024811171409705320.813165013511
9Andrey VasilevskiyNew York Rangers49291160.9202.432837031151433742210.632194717554
10Oscar DanskWashington Capitals51291830.9042.802976011391450729200.5569506531