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
2Boston1000010034-11000010034-10000000000010.50033600102040718123261127224125.00%6266.67%0223268.75%151978.95%61442.86%2313219189
3Buffalo1010000035-21010000035-20000000000000.000369000210369161103214625200.00%3166.67%0153148.39%102245.45%91947.37%2213218168
4Calgary11000000321000000000001100000032121.00034700300034199603111823100.00%4175.00%0172958.62%102638.46%91656.25%2112208178
5Caroline00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
6Chicago00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
7Colorado00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
8Columbus00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
9Dallas1010000012-11010000012-10000000000000.00012300100035101312030141013500.00%5180.00%0143046.67%122450.00%41040.00%2415209157
10Detroit00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
11Edmonton1000010023-11000010023-10000000000010.50024600101036101313027151326200.00%40100.00%0142948.28%152462.50%81266.67%2413209188
12Hartford1000010023-11000010023-10000000000010.5002350002003813187030122133133.33%110.00%0172568.00%232592.00%91656.25%2415188179
13Islanders10001000321000000000001000100032121.00036900011130109101381162011100.00%3166.67%02258.00%82532.00%81650.00%1810248177
14Kansas City10000010321000000000001000001032121.000347001101371711663312616700.00%30100.00%0203754.05%152462.50%51241.67%25142110189
15LA Kings00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
16Las Vegas11000000532000000000001100000053221.00058130030202888120461012143133.33%6266.67%0102343.48%132846.43%71838.89%157288167
17Minnesota1010000034-1000000000001010000034-100.00034700111027681304113718100.00%110.00%0102737.04%92931.03%91560.00%2010227169
18Montreal00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
19Ottawa1010000035-2000000000001010000035-200.0003690003003512158040156202150.00%3166.67%092733.33%122941.38%51435.71%1810239177
20Philadelphie10000010541000000000001000001054121.00056110021113411149338715202150.00%5180.00%0152853.57%142948.28%162466.67%2314239189
21Pittsburgh11000000532000000000001100000053221.00058130002303251611036154203133.33%20100.00%0122254.55%163151.61%101952.63%2113228167
22Quebec1000000123-11000000123-10000000000010.50024600011033111011437111424300.00%70100.00%0112445.83%193751.35%91275.00%21112510188
23Rangers10001000431000000000001000100043121.00046100011112611951401213266233.33%4175.00%051926.32%133240.63%91464.29%21112310189
24San Jose1010000035-21010000035-20000000000000.0003580011104621151002896106233.33%3166.67%0152853.57%132356.52%111861.11%2819157168
25Seattle1010000023-11010000023-10000000000000.000235002000319148034102234125.00%10100.00%0162661.54%122941.38%71643.75%2012218178
26St-Louis21100000330000000000002110000033020.500369000210711729250592226328112.50%8187.50%1254456.82%285550.91%132454.17%412346173216
27Tampa Bay00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
28Toronto11000000532110000005320000000000021.00051015002210408201203594263133.33%2150.00%1172958.62%182766.67%91464.29%2313188179
29Utah11000000211110000002110000000000021.000235000020246990411416213133.33%30100.00%0132552.00%72035.00%71450.00%2112208178
30Vancouver00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
31Washington1000000145-11000000145-10000000000010.500471100211038121312434139275120.00%2150.00%0152951.72%132846.43%92437.50%2313239189
32Winnipeg21001000752110000004311000100032141.00071421001231681031261631616425120.00%30100.00%0295354.72%335658.93%112740.74%432644203417
Average0.750.220.2200.090.090.060.062.282.2800.380.090.13000.0900.061.031.25-0.220.370.130.0900.0900.0601.251.030.220.910.6072.283.816.09000.690.720.720.1625.597.569.947.750.7225.598.637.1315.032.470.5321.46%2.470.5378.54%0.0610.0920.0650.30%10.2520.0651.10%5.9411.551.65%169166126