Statistiques d'Équipe Pro En Ordre Ascendant Par Team Name

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
LigueDomicileVisiteur
# 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
1Anaheim00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
2Boston00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
3Buffalo00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
4Calgary00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
5Caroline00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
6Chicago00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
7Colorado00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
8Columbus00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
9Dallas00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
10Detroit00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
11Edmonton00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
12Hartford00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
13Islanders00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
14Kansas City00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
15LA Kings00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
16Las Vegas00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
17Minnesota00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
18Montreal00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
19Nashville00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
20Ottawa00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
21Philadelphie00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
22Pittsburgh00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
23Quebec00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
24Rangers00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
25San Jose00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
26St-Louis00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
27Tampa Bay00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
28Toronto00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
29Vancouver00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
30Washington00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
31Winnipeg00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
Average00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000