Votre version du STHS est obsolète! Veuillez mettre à jour votre version du STHS!
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
1Anaheim201640000072492311101000004530159630000027198320.8007213020202232027278226822325338684217109344691217.39%46784.78%043182652.18%40175153.40%18231557.78%533379462143260135
2Boston624000001617-132100000107330300000610-440.3331630461166401874189570157405610230413.33%22386.36%012222653.98%8817849.44%6410660.38%148102134427739
3Buffalo00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
4Chicago00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
5Colorado 1174000003121106330000016133541000001587140.6363158890113108039012312514203401017917648714.58%30390.00%019641447.34%18741844.74%7714553.10%2611822728113367
6Columbus106400000383535320000021129532000001723-6120.6003870108001514813471181141021335712614916742921.43%63887.30%119937652.93%20439551.65%7416544.85%2371632477512960
7Dallas1899000004452-8835000001525-1010640000029272180.50044831270018131035942061891821761617613929350816.00%62690.32%036368552.99%35069450.43%12426646.62%439310453135223108
8Detroit19109000005557-21064000002629-39450000029281200.526559915400232291576178195202161217819430266812.12%901286.67%135666753.37%35572149.24%15431948.28%436301465143241115
9Edmonton00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
10Floride624000001621-532100000910-130300000711-440.333162844006730214646981019455558228621.43%17570.59%112024349.38%9119845.96%578964.04%14498136437838
11LosAngeles00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
12Minnesota00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
13Montreal00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
14NYIslanders1376000004439564200000232037340000021192140.538447912302201590401136151110442612312320251917.65%51982.35%022844551.24%23649148.07%8520541.46%3062103099516786
15NYRangers514000001424-102110000078-130300000716-920.200142640003641177546157519362338314214.29%13561.54%010018853.19%9719150.79%438848.86%11983126366431
16Philadelphie231490000084671712840000046321411650000038353280.6098415023400332228182730126724613798256184388881618.18%821581.71%143388848.76%42389347.37%18036249.72%553381555172295148
17Pittsburgh00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
18San Jose514000001722-5312000001213-12020000059-420.2001730470082611915464601321053519021419.05%21576.19%08919445.88%9921047.14%379041.11%11980131416933
19Seattle40400000611-52020000035-22020000036-300.000691500114011130374401504646491100.00%21576.19%07214748.98%8516252.47%315754.39%986891274924
20St. Louis105500000373524310000016124624000002123-2100.50037629900161092406125122121384061089716436925.00%41685.37%020240849.51%21341351.57%8817550.29%2561752557813668
21Tampa Bay 00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
22Vancouver40400000819-112020000038-520200000511-600.0008142210233012232504001714527683133.33%11372.73%05313040.77%8516152.80%337245.83%8661101285124
23Washington40400000818-102020000057-220200000311-800.0008132100431014651445101314556853126.45%20290.00%08717250.58%6414045.71%386756.72%966793294926
24Winnipeg624000001518-330300000611-53210000097240.33315304510663017853606502047242842214.55%20480.00%09722443.30%10721749.31%439943.43%14296143437437
Average6.833.423.420000021.0421.0403.421.921.50000010.9610.080.883.411.51.920000010.0810.96-0.886.830.50021.0437.96590.130.258.216.675.670.5235.3876.4277.575.545.92235.3870.9660111.6325.424.0816.05%25.424.0883.95%0.17131.17259.7150.51%128.54259.7149.49%54.58109.1750.00%165115165508743