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
2Boston40400000611-52020000047-32020000024-200.00061218002220113273842611430618128310.71%21480.95%06214243.66%8314856.08%285749.12%1057198325126
3Buffalo00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
4Calgary00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
5Caroline2616100000089751415105000005337161165000003638-2320.61589165254112332295801204287277337182252895001423021.13%1182975.42%047196149.01%44488949.94%21540453.22%677482620191326167
6Chicago624000001214-23120000046-23120000088040.3331224360034501715861520184486211223521.74%28389.29%011821355.40%10722048.64%498557.65%146100139437337
7Colorado1477000003647-11853000002228-6624000001419-5140.50036641000041614244314315413511394106187247621320.97%821384.15%027153350.84%24149248.98%11222849.12%32922535410317987
8Columbus514000001317-43120000078-12020000069-320.2001325380065201735155501715968579826415.38%25868.00%010520451.47%7818143.09%367746.75%12690132356030
9Dallas17116000005951887100000311912945000002832-4220.647591071660023132214961691531659464137230357912224.18%851483.53%028961047.38%27557647.74%15027953.76%417290396127214108
10Detroit624000001425-1130300000412-8321000001013-340.3331426400083301545845510158375010935617.14%23769.57%09720148.26%8017445.98%479748.45%14097150437135
11Edmonton624000001519-43210000096330300000613-740.3331529440064501666148516181587312827518.52%33972.73%011122050.45%11522650.88%348739.08%14093152477638
12Hartford127500000393905320000021192743000001820-2140.58339701090012101343321119011813403110145232511631.37%63985.71%020840850.98%23446750.11%10020349.26%2902013229115374
13Islanders00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
14Kansas City734000002318532100000972413000001411360.429234366006971213607377320160621375159.80%27774.07%115026955.76%12723554.04%5411049.09%183131155518745
15LA Kings734000001721-43210000095441300000816-860.42917324901133101867254600168408214331619.35%31970.97%010823446.15%10321547.91%5310351.46%161110170518843
16Las Vegas1147000002935-6633000002017351400000918-980.36429497802710120279929592030482119177551221.82%501472.00%019635854.75%19936854.08%8117247.09%2671882558013768
17Minnesota00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
18Montreal00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
19Nashville00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
20Ottawa1899000006155694500000342959540000027261180.500611091700217271614831541531697491150216316832024.10%961881.25%131056155.26%30559351.43%13528747.04%450322432130213105
21Philadelphie00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
22Pittsburgh00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
23Quebec1174000003430453200000131036420000021201140.636346397011191313041099694529969154242581017.24%641182.81%117436647.54%17536547.95%9117552.00%2641802768213365
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
29Toronto734000002425-1321000001486413000001017-760.429244468006810019458715781965980115361130.56%34876.47%011824548.16%13724955.02%5711151.35%167116176518843
30Vancouver00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
31Washington00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000
32Winnipeg271512000008372111385000004438614770000039345300.5568314923201302825076425423127278382303695441252217.60%1442781.25%045490949.94%489103647.20%20642148.93%638438672202339166
Average5.752.882.880000017.3117.3102.881.661.22000009.3181.312.871.221.660000089.31-1.315.750.50017.3131.5948.910.030.255.535.725.590.47164.7552.5353.2555.063.91164.7547.1669.88110.5628.885.9420.57%28.885.9479.43%0.09101.31201.0650.39%99.75201.0649.61%45.2590.550.00%14098140427135