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Connexion

Statistiques d’équipe Pro En ordre croissant 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
TotalDomicileVisiteur
# 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%000%0000%000%000%000000
2Boston00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
3Buffalo00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
4Calgary514000001219-730300000715-82110000054120.200121931001560169545659018367621051200.00%12466.67%06813450.75%6913451.49%357646.05%10966106428441
5Caroline1064000003128353200000201735320000011110120.6003153840091011136512811611833221169619931412.90%33487.88%014827354.21%13325751.75%6914348.25%2221312148917187
6Chicago17980000052466936000002327-486200000291910180.52952911431015181546171921851954558620016234249918.37%611181.97%123843954.21%25848053.75%14026453.03%406244386158302151
7Colorado00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
8Columbus00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
9Dallas00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
10Detroit00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
11Edmonton00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
12Hartford7340000025250413000001518-332100000107360.429253863106136023773100640243697014819315.79%20575.00%110318356.28%9116056.88%6610562.86%150891505712061
13Islanders1899000005760-3835000002023-310640000037370180.500579615300151921259920819618312614212147336641117.19%50786.00%021545147.67%19647041.70%11826744.19%393238398162307151
14Kansas City514000001217-530300000510-52110000077020.20012172900272116450634921886253851317.69%23673.91%26111752.14%9615960.38%367448.65%10257115478742
15LA Kings00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
16Las Vegas624000001219-731200000711-43120000058-340.333122032000660181596654219655551242627.69%15380.00%07715749.04%7114250.00%529753.61%128721355510552
17Minnesota00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
18Montreal40400000614-82020000038-52020000036-300.00061016001230124386224015447358314321.43%15286.67%05611150.45%5110150.50%255545.45%814894356430
19Ottawa20155000007350231192000004326179630000030246300.7507312219500182329367223719921818674233266374591016.95%891484.27%224948151.77%26455048.00%14228749.48%444262457182345170
20Philadelphie40400000813-52020000036-32020000057-200.0008152310125013838406001354329841417.14%12191.67%0539854.08%5610553.33%264656.52%854986356834
21Pittsburgh00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
22Quebec00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
23Rangers00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
24San Jose11560000033321624000001518-35320000018144100.455335386007131123611071331071434911913324729620.69%44295.45%113025950.19%15429652.03%9117751.41%24814623510119497
25Seattle1165000003134-3514000001220-86510000019145120.5453152830031512139212113213093711158221842921.43%31583.87%114031844.03%13226749.44%7616546.06%24314423810019093
26St-Louis624000001820-231200000910-131200000910-140.33318325000675021273506128235783812316212.50%19384.21%08017545.71%6416040.00%429345.16%143851515911155
27Tampa Bay00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
28Toronto514000001218-631200000810-22020000048-420.2001219310044401666165391155484810519315.79%18572.22%17412957.36%6211056.36%317342.47%10965107458341
29Utah00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
30Vancouver00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
31Washington127500000383715410000018126734000002025-5140.583386199008191014071221561062340512515423443920.93%38781.58%015531050.00%15230350.17%9517255.23%274166259104203101
32Winnipeg1913600000655312844000002224-2119200000432914260.6846511317810141831264720018422241641214242398811417.28%51884.31%124352646.20%22246747.54%15530450.99%422243427174339173
Average52.52.50000015.1615.1602.51.031.47000007.197.97-0.782.51.471.03000007.977.190.7850.50015.1625.3440.50.1303.445.665.530.53170.3455.0356.3452.786.19170.3456.3452.25100.1616.592.7216.40%16.592.7283.60%0.3165.31130.0350.23%64.72130.0349.77%37.4774.9450.00%11165111458643