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
2Boston3030000059-42020000047-31010000012-100.00051015001220861931306842451602627.69%16475.00%04811442.11%6511258.04%224647.83%825572254021
3Buffalo00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
4Calgary00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
5Caroline21100000752211000007520000000000020.500713200115106113301805415324312433.33%13376.92%0377549.33%398048.75%142850.00%483448142311
6Chicago32100000853211000004401100000041340.667816240022409236332309025285816531.25%13192.31%06411356.64%5111145.95%204247.62%765365233719
7Colorado31200000613-72110000049-51010000024-220.3336111700141071242621010227567114321.43%27485.19%0338937.08%5212142.98%224746.81%634380223516
8Columbus21100000440211000004400000000000020.500481200031082222324137034163315213.33%8187.50%0539953.54%357546.67%152171.43%584353152312
9Dallas2110000056-1000000000002110000056-120.500510150022016016191695817205513215.38%9366.67%0337842.31%468653.49%153050.00%543849162513
10Detroit31200000912-32020000048-41100000054120.333918270042308936252806714245520420.00%11372.73%05110449.04%428350.60%275350.94%745371223617
11Edmonton21100000651211000006510000000000020.50061218004110582417116602028469333.33%13284.62%0408646.51%457857.69%153050.00%493254162512
12Hartford21100000440000000000002110000044020.5004812002101702215303821630538112.50%15286.67%0407553.33%469946.46%62128.57%533858152311
13Islanders00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
14Kansas City321000001367110000004222110000094540.66713243700463010235373007127305327414.81%14378.57%06912157.02%568962.92%254753.19%805863203518
15LA Kings20200000110-90000000000020200000110-900.00012300100041121415055133348500.00%10550.00%0265944.07%296147.54%173351.52%422850142612
16Las Vegas2200000010192200000010190000000000041.0001017270133405520171804112104410550.00%50100.00%0326152.46%335955.93%163348.48%503542142614
17Minnesota00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
18Montreal00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
19Nashville00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
20Ottawa3210000012931010000045-12200000084440.6671222340044316727152238922426311327.27%20480.00%1418349.40%5310450.96%265349.06%714874203618
21Philadelphie00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
22Pittsburgh00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
23Quebec33000000954110000002112200000074361.000918270032318423332358624716316425.00%26292.31%14711241.96%6611457.89%244652.17%724682264018
24Rangers00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
25San Jose00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
26Seattle00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
27St-Louis00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
28Tampa Bay00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
29Toronto2110000057-2000000000002110000057-220.50058130022105420191506116303213323.08%12466.67%0418051.25%387550.67%142850.00%483348142311
30Vancouver00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
31Washington00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
32Winnipeg3120000058-31010000014-32110000044020.3335914000320902137320923334481317.69%16568.75%06011154.05%4911343.36%224252.38%654276233718
Average1.250.630.63000003.413.4100.630.280.34000001.691.72-0.030.620.350.29000001.721.690.031.250.5003.416.449.8400.061.061.310.910.1336.3111.5612.2211.131.4136.3110.5916.7225.787.131.4420.20%7.131.4479.80%0.0622.3445.6348.96%23.2845.6351.02%9.3818.7550.03%3121319157



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