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
3Buffalo40400000618-122020000057-220200000111-1000.000691500321013553414101263245891417.14%14192.86%08616153.42%6012846.88%347048.57%8859101274924
4Calgary40400000413-92020000016-52020000037-400.000471110202012135394071534165811200.00%18477.78%06615343.14%7416245.68%366456.25%9564106315325
5Caroline1477000003639-3633000001720-38440000019190140.5003667103111691014691581461432248914415229340717.50%611181.97%128352753.70%27752952.36%11421253.77%33723234310318289
6Chicago00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
7Colorado1046000002628-252300000990523000001719-280.40026487400889135411011711611321937121244511.36%32487.50%021840453.96%16333548.66%7615648.72%2581852317312564
8Columbus00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
9Dallas00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
10Detroit22121000000534851055000002723412750000026251240.545539614901171321262918123520767031851964187068.57%821384.15%039776352.03%44182453.52%16832352.01%545381513163278139
11Edmonton00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
12Hartford40400000916-72020000026-420200000710-300.0009172600423012746433441553122671119.09%9366.67%08214855.41%8216749.10%427159.15%9872100305024
13Islanders00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
14Kansas City2316700000865432131120000044172710550000042375320.6968615323911382324182426028124142698210144475751621.33%561278.57%043986150.99%38280047.75%19735255.97%585414544166298151
15LA Kings1174000003026453200000171616420000013103140.6363055850181183382123119105353611177723637718.92%33681.82%023042753.86%22942753.63%7017639.77%2791952848714873
16Las Vegas00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
17Minnesota624000001519-4312000001112-13120000047-340.333152641007350217735878821159591202129.52%26580.77%112222653.98%10723246.12%529554.74%14399156437637
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
21Philadelphie734000001718-1422000009903120000089-160.42917314800834223587617017251757513726311.54%24387.50%211924448.77%13228745.99%409641.67%167117179539044
22Pittsburgh734000001821-331200000910-142200000911-260.4291831490197202367575833221533012921419.05%14285.71%113125551.37%13223755.70%5910755.14%168117164519246
23Quebec14770000037361835000001920-16420000018162140.5003762991113139244915212916084521389030035514.29%43881.40%122150843.50%24251347.17%9820747.34%33623333810117888
24Rangers00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
25San Jose624000001315-23120000089-13120000056-140.3331325380136401755566495221634511320315.00%19194.74%010119851.01%11024844.35%408547.06%14098152447537
26St-Louis1596000003638-27520000020164844000001622-6180.60036651010118882454167154128551916211729039615.38%54590.74%026450352.49%26856547.43%11022648.67%35024237010718792
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
29Vancouver734000002231-9330000001713440400000518-1360.42922396100104712348570736229686117620630.00%22290.91%013325552.16%11324645.93%409940.40%165114177508943
30Washington1811700000493712106400000272258530000022157220.611498713603161614359519219219714526172133391751418.67%53688.68%132869846.99%29963147.39%13327947.67%436298434134233118
31Winnipeg00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000
Average5.552.772.770000014.7414.7402.771.481.29000007.816.940.872.781.291.48000006.937.8-0.875.550.50014.7426.3941.130.130.355.814.134.230.58181.8159.7458.956.946.23181.815344.58113.7718.062.7715.34%18.062.7784.66%0.23103.87204.2350.86%100.35204.2349.14%42.2384.4550.01%13594135407135