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Wild

GP: 49 | W: 31 | L: 15 | OTL: 3 | P: 65
GF: 227 | GA: 150 | PP%: 26.13% | PK%: 79.55%
DG: Philippe Lanois | Morale : 50 | Moyenne d'Équipe : 62
Prochain matchs #753 vs Bears
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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
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Logan BrownX100.007149856596808263786662676563620496502121,573,333$
2Brendan LeipsicXX100.00704286656874876354665956637167050630251650,000$
3Josh NorrisX100.006238866579857463766264626361650506302031,633,333$
4Lukas VejdemoXX100.00624590627978836374615864656764047630231925,000$
5Zack MacEwenXX100.00655381628473726366606261646763047630231995,833$
6Sam LaffertyXXX100.00694980637670736568616462656966050630241925,000$
7Alexander VolkovXX100.00614688637682796256615960626563050620221925,000$
8Daniel SprongX100.00584389647182816358616259686563050620221750,000$
9Dominic ToninatoXX100.00634782617980785965586062597166050620251775,000$
10Cameron HughesXX100.00554185616479766053585957616764050600232925,000$
11Mikhail MaltsevXX100.00674481598384815853555756596362050600213925,000$
12Evan BouchardX100.006452836681858764306355594861630466301931,627,500$
13Niko MikkolaX100.00684689628385826130605863556764042630231925,000$
14Lawrence PilutX100.005942876471797762306358615469650506202311,350,000$
15Steven SantiniX100.006847896081787258305956655069650506202421,416,666$
16Matt TennysonX100.00644587608179755830595762457868050620292700,000$
17Nelson NogierX100.00624788597977765830575660536764050600231700,000$
Rayé
1Brandon GignacXX100.00554285616679775954605857616563050600212921,666$
2Paul CotterXX100.00594688557386885460525356546162050580193806,667$
3Dmitri SamorukovX100.00644787588182795630545259476162050590203863,333$
4Josh BrookX100.00584384567486875430535358456162050580203910,833$
MOYENNE D'ÉQUIPE100.0063458661778079605059586057666404962
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
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Anton Forsberg100.0075666482747375747375747581050660
2Matiss Kivlenieks100.0075605876747375747375746771050640
Rayé
MOYENNE D'ÉQUIPE100.007563617974737574737574717605065
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Sam LaffertyWild (MIN)C/LW/RW4926335933195109762335713411.16%1195619.52551028890112941257.49%32700011.2313010143
2Niko MikkolaWild (MIN)D4716395531360986686316118.60%73114424.3538112793011097210.00%000000.9600000445
3Lukas VejdemoWild (MIN)C/LW462528532480401081834713513.66%1587919.1143725810004464057.76%87600021.2112000202
4Logan BrownWild (MIN)C3222295131160671041504512514.67%1178424.5115614550113746159.47%90300011.3013000432
5Josh NorrisWild (MIN)C491929481316059116211581339.00%1285817.513258181015312058.25%103000011.1200000311
6Zack MacEwenWild (MIN)C/RW4515324727005466139379210.79%1281218.0426822790001692060.50%11900001.1603000032
7Alexander VolkovWild (MIN)LW/RW49162642211405557179431228.94%1080616.460000110001471054.35%9200011.0400000303
8Daniel SprongWild (MIN)RW4914284223403180187491407.49%990818.541342787101163151.32%7600000.9200000132
9Brendan LeipsicWild (MIN)C/LW49192140172201251141734014510.98%696619.7324614920001361347.30%37000000.8301000121
10Dominic ToninatoWild (MIN)C/LW4916183419195737217054989.41%779216.181018230000120051.40%17900010.8600001013
11Matt TennysonWild (MIN)D49627333428085477220478.33%59113023.082461990000197100.00%000000.5800000121
12Lawrence PilutWild (MIN)D498243214120656873326210.96%50102420.9124624820002102200.00%000000.6200000100
13Steven SantiniWild (MIN)D494273114395108486222496.45%5693219.030441859000068100.00%000000.6600001010
14Nelson NogierWild (MIN)D498192728220693940112020.00%5375915.4900000000133100.00%000000.7100000021
15Cameron HughesWild (MIN)C/LW4951015216058446115478.20%2071014.5100000000001040.54%18500000.4200000111
16Evan BouchardWild (MIN)D16312157200332029122010.34%2436022.503471935000028000.00%000000.8300000110
17Jujhar KhairaWildC/LW1331114126037255724445.26%223818.37000010112322066.67%1800001.1700000031
18Luke SchennWildD1521012710047133510255.71%1134022.71112933000035000.00%000000.7000000010
19Mikhail MaltsevWild (MIN)C/LW112467003011331196.06%118116.4700000000001059.40%13300000.6600000000
20Brandon GignacWild (MIN)C/LW2112310029112129.09%0964.62011120000100056.25%3200000.6200000000
21Dmitri SamorukovWild (MIN)D9000800847130.00%710111.270000000005000.00%000000.0000000000
22Josh BrookWild (MIN)D4000-100222020.00%2276.870000000000000.00%000000.0000000000
23Paul CotterWild (MIN)C/LW4000-100122000.00%2174.3600000000050037.50%800000.0000000000
Stats d'équipe Total ou en Moyenne80223042965939029715125611912195621152510.48%4531483018.493054842639402462493731856.26%434800070.89312012233228
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
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Anton ForsbergWild (MIN)49301530.9063.00287710514415370020.76913490512
2Matiss KivlenieksWild (MIN)21000.9571.4682002460000.0000049000
Stats d'équipe Total ou en Moyenne51311530.9082.96296010514615830020.769134949512


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
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alexander VolkovWild (MIN)LW/RW221997-08-02No191 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Anton ForsbergWild (MIN)G261992-11-27No192 Lbs6 ft3NoNoNo1Pro & Farm775,000$0$0$NoLien / Lien NHL
Brandon GignacWild (MIN)C/LW211997-11-07No170 Lbs5 ft11NoNoNo2Pro & Farm921,666$0$0$No921,666$Lien / Lien NHL
Brendan LeipsicWild (MIN)C/LW251994-05-19No180 Lbs5 ft11NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Cameron HughesWild (MIN)C/LW231996-10-09No160 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Daniel SprongWild (MIN)RW221997-03-17No191 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Dmitri SamorukovWild (MIN)D201999-06-16No188 Lbs6 ft3NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$Lien
Dominic ToninatoWild (MIN)C/LW251994-03-09No191 Lbs6 ft2NoNoNo1Pro & Farm775,000$0$0$NoLien / Lien NHL
Evan BouchardWild (MIN)D191999-10-20No194 Lbs6 ft3NoNoNo3Pro & Farm1,627,500$0$0$No1,627,500$1,627,500$Lien
Josh BrookWild (MIN)D201999-06-17No182 Lbs6 ft1NoNoNo3Pro & Farm910,833$0$0$No910,833$910,833$Lien
Josh NorrisWild (MIN)C201999-05-05No192 Lbs6 ft2NoNoNo3Pro & Farm1,633,333$0$0$No1,633,333$1,633,333$Lien
Lawrence PilutWild (MIN)D231995-12-30No194 Lbs5 ft11NoNoNo1Pro & Farm1,350,000$0$0$NoLien / Lien NHL
Logan BrownWild (MIN)C211998-03-05No220 Lbs6 ft6NoNoNo2Pro & Farm1,573,333$0$0$No1,573,333$Lien / Lien NHL
Lukas VejdemoWild (MIN)C/LW231996-01-25No194 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Matiss KivlenieksWild (MIN)G231996-08-26No178 Lbs6 ft2NoNoNo1Pro & Farm1,066,667$0$0$NoLien / Lien NHL
Matt TennysonWild (MIN)D291990-04-23No205 Lbs6 ft2NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Mikhail MaltsevWild (MIN)C/LW211998-03-12No198 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Nelson NogierWild (MIN)D231996-05-27No191 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Niko MikkolaWild (MIN)D231996-04-27No185 Lbs6 ft4NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Paul CotterWild (MIN)C/LW191999-11-16No191 Lbs6 ft0NoNoNo3Pro & Farm806,667$0$0$No806,667$806,667$Lien
Sam LaffertyWild (MIN)C/LW/RW241995-03-06No195 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Steven SantiniWild (MIN)D241995-03-07No205 Lbs6 ft2NoNoNo2Pro & Farm1,416,666$0$0$No1,416,666$Lien / Lien NHL
Zack MacEwenWild (MIN)C/RW231996-07-08No205 Lbs6 ft3NoNoNo1Pro & Farm995,833$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2322.57191 Lbs6 ft21.741,002,862$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sam LaffertyLogan BrownZack MacEwen30122
2Brendan LeipsicLukas VejdemoDaniel Sprong30122
3Dominic ToninatoJosh NorrisAlexander Volkov25122
4Cameron HughesLogan Brown15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niko MikkolaMatt Tennyson30122
2Steven SantiniLawrence Pilut30122
3Nelson NogierCameron Hughes25122
4Niko MikkolaMatt Tennyson15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Sam LaffertyLogan BrownZack MacEwen60122
2Brendan LeipsicLukas VejdemoDaniel Sprong40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niko MikkolaMatt Tennyson60122
2Steven SantiniLawrence Pilut40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Logan BrownSam Lafferty60122
2Zack MacEwenLukas Vejdemo40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niko MikkolaMatt Tennyson60122
2Steven SantiniLawrence Pilut40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Logan Brown60122Niko MikkolaMatt Tennyson60122
2Sam Lafferty40122Steven SantiniLawrence Pilut40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Logan BrownSam Lafferty60122
2Zack MacEwenLukas Vejdemo40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niko MikkolaMatt Tennyson60122
2Steven SantiniLawrence Pilut40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sam LaffertyLogan BrownZack MacEwenNiko MikkolaMatt Tennyson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Sam LaffertyLogan BrownZack MacEwenNiko MikkolaMatt Tennyson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Josh Norris, Dominic Toninato, Alexander VolkovJosh Norris, Dominic ToninatoAlexander Volkov
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nelson Nogier, Steven Santini, Lawrence PilutNelson NogierSteven Santini, Lawrence Pilut
Tirs de Pénalité
Logan Brown, Sam Lafferty, Zack MacEwen, Lukas Vejdemo, Josh Norris
Gardien
#1 : Anton Forsberg, #2 : Matiss Kivlenieks


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
# VS 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
1Admirals11000000817000000000001100000081721.0008152300817271436686685721242874225240.00%20100.00%01067190755.95%928168255.17%45481455.77%12939361051332619324
2Americans210000101055100000106511100000040441.000101828018172714766866857212471138463133.33%40100.00%01067190755.95%928168255.17%45481455.77%12939361051332619324
3Barracuda1010000045-1000000000001010000045-100.000481200817271429686685721243513626100.00%30100.00%01067190755.95%928168255.17%45481455.77%12939361051332619324
4Bears11000000615110000006150000000000021.00061016008172714556866857212424110173133.33%000.00%01067190755.95%928168255.17%45481455.77%12939361051332619324
5Bruins11000000707110000007070000000000021.0007121901817271449686685721241634194125.00%10100.00%01067190755.95%928168255.17%45481455.77%12939361051332619324
6Checkers1000010067-11000010067-10000000000010.50061117008172714456866857212433914273133.33%7357.14%01067190755.95%928168255.17%45481455.77%12939361051332619324
7Comets22000000222201100000012210110000001001041.0002239610181727141766866857212451124375240.00%20100.00%11067190755.95%928168255.17%45481455.77%12939361051332619324
8Condors220000002151600000000000220000002151641.000213960018172714160686685721243494643133.33%2150.00%01067190755.95%928168255.17%45481455.77%12939361051332619324
9Devils11000000532000000000001100000053221.0005914008172714436866857212443141030300.00%50100.00%01067190755.95%928168255.17%45481455.77%12939361051332619324
10Eagles330000001156110000003212200000083561.000112031008172714110686685721241032720644250.00%8275.00%01067190755.95%928168255.17%45481455.77%12939361051332619324
11Gulls21100000853211000008530000000000020.5008142200817271495686685721248121848300.00%40100.00%01067190755.95%928168255.17%45481455.77%12939361051332619324
12Heat440000002581722000000844220000001741381.0002544690081727142176866857212411732281109333.33%130100.00%11067190755.95%928168255.17%45481455.77%12939361051332619324
13IceHogs211000009811010000045-11100000053220.50091827008172714756866857212471106415120.00%3166.67%01067190755.95%928168255.17%45481455.77%12939361051332619324
14Marlies311000011213-120100001911-21100000032130.500122234008172714114686685721241113220558112.50%10550.00%01067190755.95%928168255.17%45481455.77%12939361051332619324
15Monsters20000011660000000000002000001166030.7506814008172714716866857212457221049600.00%5180.00%01067190755.95%928168255.17%45481455.77%12939361051332619324
16Moose321000001011-11010000025-32200000086240.6671017270081727141176866857212494221882500.00%9366.67%01067190755.95%928168255.17%45481455.77%12939361051332619324
17Penguins11000000725110000007250000000000021.0007132000817271456686685721243310624000.00%30100.00%01067190755.95%928168255.17%45481455.77%12939361051332619324
18Phantoms1010000057-2000000000001010000057-200.0005813108172714356866857212456106272150.00%3233.33%01067190755.95%928168255.17%45481455.77%12939361051332619324
19Rampage321000001011-1110000005412110000057-240.6671017270081727141126866857212411125108011545.45%4250.00%01067190755.95%928168255.17%45481455.77%12939361051332619324
20Reign21001000862110000003211000100054141.0008142200817271452686685721247332324211100.00%10280.00%01067190755.95%928168255.17%45481455.77%12939361051332619324
21Roadrunners22000000725220000007250000000000041.000713200181727146768668572124472110596116.67%50100.00%01067190755.95%928168255.17%45481455.77%12939361051332619324
22Senators1010000014-31010000014-30000000000000.00012300817271430686685721244011825200.00%4175.00%01067190755.95%928168255.17%45481455.77%12939361051332619324
23Sound Tigers2020000069-31010000034-11010000035-200.000612181081727146568668572124622412395120.00%6183.33%01067190755.95%928168255.17%45481455.77%12939361051332619324
24Stars1010000023-11010000023-10000000000000.00024600817271441686685721243111629100.00%30100.00%01067190755.95%928168255.17%45481455.77%12939361051332619324
25Thunderbirds2020000028-6000000000002020000028-600.000246008172714636866857212473714364125.00%7271.43%01067190755.95%928168255.17%45481455.77%12939361051332619324
Total49281501122227150772413800111104752925157010111237548650.663227408635258172714210468668572124158544029111721112926.13%1322779.55%21067190755.95%928168255.17%45481455.77%12939361051332619324
26Wolf Pack2110000057-22110000057-20000000000020.500510150081727147868668572124571513545240.00%40100.00%01067190755.95%928168255.17%45481455.77%12939361051332619324
27Wolves1010000046-2000000000001010000046-200.00047110081727143768668572124331710204125.00%5180.00%01067190755.95%928168255.17%45481455.77%12939361051332619324
_Since Last GM Reset49281501122227150772413800111104752925157010111237548650.663227408635258172714210468668572124158544029111721112926.13%1322779.55%21067190755.95%928168255.17%45481455.77%12939361051332619324
_Vs Conference291970101113382511284000004232101711301011915041430.741133238371028172714121968668572124915269172736641726.56%761382.89%11067190755.95%928168255.17%45481455.77%12939361051332619324
_Vs Division1664000119939608120000038152385200011612437150.469991782770381727148336866857212447115710240632928.13%44490.91%21067190755.95%928168255.17%45481455.77%12939361051332619324

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4965L122740863521041585440291117225
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4928151122227150
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
24138011110475
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
25157101112375
Derniers 10 Matchs
WLOTWOTL SOWSOL
810100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1112926.13%1322779.55%2
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
686685721248172714
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
1067190755.95%928168255.17%45481455.77%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12939361051332619324


Derniers Match Joués
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
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2020-10-0613Comets2Wild12WSommaire du Match
3 - 2020-10-0718Wild13Heat1WSommaire du Match
6 - 2020-10-1041Wild5Phantoms7LSommaire du Match
8 - 2020-10-1253Wild3Rampage6LSommaire du Match
9 - 2020-10-1360Heat2Wild3WSommaire du Match
12 - 2020-10-1680Marlies3Wild2LSommaire du Match
14 - 2020-10-1897Wild4Heat3WSommaire du Match
15 - 2020-10-19110Roadrunners2Wild3WSommaire du Match
18 - 2020-10-22125Wild3Monsters4LXXSommaire du Match
19 - 2020-10-23138Wild12Condors0WSommaire du Match
22 - 2020-10-26153Wolf Pack4Wild1LSommaire du Match
24 - 2020-10-28171Reign2Wild3WSommaire du Match
27 - 2020-10-31195Wild5Moose4WSommaire du Match
28 - 2020-11-01199Wild2Thunderbirds4LSommaire du Match
30 - 2020-11-03215Bears1Wild6WSommaire du Match
33 - 2020-11-06238Stars3Wild2LSommaire du Match
35 - 2020-11-08251Wild4Eagles2WSommaire du Match
37 - 2020-11-10260Wild3Sound Tigers5LSommaire du Match
38 - 2020-11-11275Heat2Wild5WSommaire du Match
41 - 2020-11-14291Wild5Reign4WXSommaire du Match
42 - 2020-11-15304Rampage4Wild5WSommaire du Match
46 - 2020-11-19329Senators4Wild1LSommaire du Match
48 - 2020-11-21348Wild8Admirals1WSommaire du Match
50 - 2020-11-23360Gulls1Wild5WSommaire du Match
52 - 2020-11-25379Americans5Wild6WXXSommaire du Match
54 - 2020-11-27393Wild4Americans0WSommaire du Match
56 - 2020-11-29408Wild5Devils3WSommaire du Match
58 - 2020-12-01424Roadrunners0Wild4WSommaire du Match
59 - 2020-12-02435Wild4Wolves6LSommaire du Match
62 - 2020-12-05455Penguins2Wild7WSommaire du Match
65 - 2020-12-08475Marlies8Wild7LXXSommaire du Match
67 - 2020-12-10490Wild10Comets0WSommaire du Match
70 - 2020-12-13504Wild0Thunderbirds4LSommaire du Match
71 - 2020-12-14516Moose5Wild2LSommaire du Match
74 - 2020-12-17539Gulls4Wild3LSommaire du Match
76 - 2020-12-19556Wild3Monsters2WXXSommaire du Match
78 - 2020-12-21567Wild3Marlies2WSommaire du Match
80 - 2020-12-23578Wild4Barracuda5LSommaire du Match
81 - 2020-12-24586Sound Tigers4Wild3LSommaire du Match
83 - 2020-12-26607Checkers7Wild6LXSommaire du Match
86 - 2020-12-29626Wild3Moose2WSommaire du Match
88 - 2020-12-31638Wolf Pack3Wild4WSommaire du Match
90 - 2021-01-02655Wild4Eagles1WSommaire du Match
92 - 2021-01-04670Eagles2Wild3WSommaire du Match
94 - 2021-01-06683Wild9Condors5WSommaire du Match
96 - 2021-01-08699Wild5IceHogs3WSommaire du Match
97 - 2021-01-09706Bruins0Wild7WSommaire du Match
100 - 2021-01-12724Wild2Rampage1WSommaire du Match
101 - 2021-01-13737IceHogs5Wild4LSommaire du Match
103 - 2021-01-15753Wild-Bears-
105 - 2021-01-17767Rocket-Wild-
110 - 2021-01-22794Comets-Wild-
111 - 2021-01-23803Wild-Wolf Pack-
114 - 2021-01-26822Wild-Roadrunners-
115 - 2021-01-27830Barracuda-Wild-
119 - 2021-01-31854Reign-Wild-
121 - 2021-02-02871Wild-Wolves-
123 - 2021-02-04885Admirals-Wild-
125 - 2021-02-06896Wild-Senators-
127 - 2021-02-08908Wild-Phantoms-
128 - 2021-02-09921Devils-Wild-
132 - 2021-02-13943Wild-Stars-
133 - 2021-02-14955Griffins-Wild-
136 - 2021-02-17973Wild-Crunch-
137 - 2021-02-18984Phantoms-Wild-
140 - 2021-02-211006Admirals-Wild-
141 - 2021-02-221013Wild-Penguins-
143 - 2021-02-241033Wild-Bruins-
145 - 2021-02-261040Wild-Gulls-
147 - 2021-02-281053Condors-Wild-
150 - 2021-03-031077Wild-Rocket-
151 - 2021-03-041085Thunderbirds-Wild-
154 - 2021-03-071110Stars-Wild-
157 - 2021-03-101132IceHogs-Wild-
158 - 2021-03-111136Wild-Barracuda-
160 - 2021-03-131157Wild-Heat-
162 - 2021-03-151170Wild-Griffins-
163 - 2021-03-161177Crunch-Wild-
168 - 2021-03-211200Wild-Checkers-
169 - 2021-03-221208Wolves-Wild-
175 - 2021-03-281240Monsters-Wild-
179 - 2021-04-011258Bears-Wild-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
17 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,252,701$ 2,306,583$ 1,239,084$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,252,701$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 80 12,674$ 1,013,920$




LigueDomicileVisiteur
Année 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 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
Saison Régulière
282244402336228294-6641151802024122129-74192600312106165-5948228394622038875609237881677376353260373897614753396619.47%3728876.34%51348263851.10%1156255645.23%616135345.53%1956133819616181058524
382254304073204241-3741161901032107109-2419240304197132-35502043445481271715115252681682184385265077577715813404713.82%3125283.33%21382271350.94%1349280348.13%608125748.37%1980135319416051058528
4823829010682582015741221201042150925841161700026108109-176258461719079284751428739209349888625447581405186456810919.19%5728884.62%21799313657.37%1645310852.93%687123955.45%2008134719306551051529
58233320524624423774115130502610910634118190022013513146624442566932103716113295795896699966281279355618892053215.61%2564980.86%11691283959.56%1528283153.97%712128055.63%2009144119665621004502
68243300212432421610841231501011180998141201501113144117278632458390709122105939344911751110115036268577458021342074220.29%2333684.55%41738313755.40%1433287149.91%690128853.57%2164156117665531025533
78237310434334625294411617021321581144441211402211188138507434660194714146969612384212121273130474292879942520042114219.91%1814674.59%11960333358.81%1589288655.06%800138057.97%2145157618215431009519
882511804234393202191412870212121497117412311021131791057410239372211150101691318610389112741285129659258577841318731804323.89%1863879.57%21922318060.44%1551270857.27%800134359.57%235217721650504965516
882511804234393202191412870212121497117412311021131791057410239372211150101691318610389112741285129659258577841318731804323.89%1863879.57%21922318060.44%1551270857.27%800134359.57%235217721650504965516
94928150112222715077241380011110475292515701011123754865227408635258172714210468668572124158544029111721112926.13%1322779.55%21067190755.95%928168255.17%45481455.77%12939361051332619324
Total Saison Régulière705330260027143440261719956223521761160164202013589184403531541440111014201259107718266926174660727775210418366799627911913191329360542229776633583615865234145319.35%243046280.99%21148292606356.90%127302415352.71%61671129754.59%182631310115739488087594494
Séries
4159600000423847610000022139835000002025-51842761180017159147016915814124881402763351191915.97%1131685.84%128556450.53%27257747.14%11623549.36%34822636012219194
562400000917-83120000058-33120000049-549142301431115561533011252753817319315.79%180100.00%06119830.81%8726532.83%358242.68%12782189507937
81899000004950-19540000027252945000002225-31849881370219161315161631861661645180143420511223.53%621182.26%030161349.10%30769144.43%11827842.45%412277434132233113
Total Séries39201900000100105-519127000005446820812000004659-134010017827803403423311413933973371413853954579281893417.99%1932786.01%1647137547.05%666153343.44%26959545.21%888587985304503244