Jardiniers

GP: 84 | W: 38 | L: 39 | OTL: 7 | P: 83
GF: 327 | GA: 311 | PP%: 24.10% | PK%: 72.87%
DG: Karl Wasilkowski | Morale : 50 | Moyenne d'Équipe : 68
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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 SP
1Colin White0X100.00401864324875737576828367693940050730
2Riley Sheahan0X100.00592473448066796782788175755945050720
3Jared McCann0XX100.00603063355367757571808371784848046720
4Jakub Vrana0X100.00492466335962927646818455765644050720
5Jake Virtanen0X100.00813049368165737237778257794947050710
6Zack Kassian0X100.00824639408465676933778167746366050710
7Lawson Crouse0X100.00883950408358797044788164644356050700
8Josh Leivo0X100.00463066346364717242778156744847050690
9Joel Eriksson Ek0X100.00801764416861756873778068654642050690
10Tomas Nosek0X100.00742462427956726864778070645745050690
11Joshua Ho-Sang0X100.00291770494168856033747963714536050660
12Sonny Milano0X100.00521671365749757230768251734335050660
13Brett Ritchie0X100.00863334438446646534737951715554050650
14Tomas Jurco0X100.00402571595958735932677665736146050630
15Matthew Highmore0XX100.00341885675056795731657267674149050610
16Danny O'Regan0X100.00331881644546815734666965674139050590
17Madison Bowey0X100.00732946486554888030827548654964050700
18Marcus Pettersson0X100.00641456455059888278857665654837050700
19Connor Carrick0X100.00573559455858708328837747645156050700
20Mirco Mueller0X100.00652671497664677929827567654846050700
21Ian McCoshen0X100.00843054488152797830777445664047050670
22Seb Aho0X100.00391378594359936831737062723840050650
23Roland McKeown0X100.00353074596049826731726954684662050640
24David Warsofsky0X100.00282481584045776830737156665452050630
Rayé
1Vladislav Kamenev0X100.00602659536140296057697756673843050590
2Kyle Rau0X100.00542585694035845733667364664553050580
3Hudson Fasching0X100.00342380637144805630647069674342050570
MOYENNE D'ÉQUIPE100.0057256548625676694375776169484705067
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
1Adin Hill100.0083908381829086879055655159050790
2Alex Lyon100.0082948077818684858852625069050780
3Jon Gillies100.0082898480818586848952604966050780
Rayé
1Marcus Hogberg (R)100.0081938178818284838851603554050760
2Hunter Miska100.0080927974817985827650604159047740
MOYENNE D'ÉQUIPE100.008292817881848584865261456104977
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
1Jared McCannJardiniers (WPT)C/LW84467311936400821833208817314.37%95173420.6512294174260325213778362.36%14644143041.37250001035
2Jakub VranaJardiniers (WPT)LW8438691073126041582767017813.77%25153018.2213294260260213202362051.52%1655512021.4046000368
3Colin WhiteJardiniers (WPT)C7027447131200551222247515912.05%35132018.861114255123502251304260.84%11163416001.0801000358
4Riley SheahanJardiniers (WPT)C81274168812047173277751809.75%57160219.7910162664249033102334067.57%11415322010.8500000237
5Marcus PetterssonJardiniers (WPT)D84135164165006813015157758.61%134195423.27413174027905510368110.00%03054010.6500000012
6Jake VirtanenJardiniers (WPT)RW8420375711105514351225831458.89%20122514.591671482000001151.85%543411010.9300000011
7Josh LeivoJardiniers (WPT)LW842326491124028491555010014.84%23108812.9500028000001141.18%343214010.9000000111
8Zack KassianJardiniers (WPT)RW81232649114515187691977413911.68%45133616.4971219392410006232042.86%634714000.7300012414
9Joel Eriksson EkJardiniers (WPT)C842023432400106148203671369.85%59115013.6900001000071060.99%8053619010.7500000121
10Tomas NosekJardiniers (WPT)LW75132942-83208982188591236.91%37122316.31491327207000032169.64%564817000.6900000031
11Madison BoweyJardiniers (WPT)D845212601080114426735377.46%56168820.10369122380118283100.00%01721000.3100000000
12Mirco MuellerJardiniers (WPT)D84520251816045747434386.76%6191210.86000417000017000.00%01224000.5501000101
13Connor CarrickJardiniers (WPT)D848162436315322163333012.70%2994911.30202523112226200.00%0374010.5100001001
14Lawson CrouseJardiniers (WPT)RW8461117-1563595529433656.38%176808.11000000000260163.64%442418000.5000000011
15Sonny MilanoJardiniers (WPT)LW846915-440161356164310.71%64585.4600000000050020.00%15104000.6500000010
16Joshua Ho-SangJardiniers (WPT)RW84369700411319209.68%82533.0200008000000040.00%1564000.7100000000
17Seb AhoJardiniers (WPT)D8404432033923970.00%285156.140000000008000.00%014000.1600000000
18Tomas JurcoJardiniers (WPT)RW7913432011951320.00%61191.52000001123921045.00%6033000.6700000000
19Brett RitchieJardiniers (WPT)RW841120408251620.00%2660.7900016000081038.46%2610000.6000000000
20Ian McCoshenJardiniers (WPT)D84011226050109870.00%115096.070000000000000.00%096000.0400000000
21Roland McKeownJardiniers (WPT)D84011200135000.00%1590.710002100001000.00%000000.3300000000
22Matthew HighmoreJardiniers (WPT)C/LW60113001714260.00%3518.6300000000000037.50%2463000.3900000000
23David WarsofskyJardiniers (WPT)D81000000092000.00%151882.33000010001129000.00%004000.0000000000
Stats d'équipe Total ou en Moyenne181728551379819475030121613672664879167010.70%7732062111.3567134201395212571623861981311061.59%50825363170120.77613013252841
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
1Adin HillJardiniers (WPT)84383970.8883.6449692330126821369110.65020840731
2Alex LyonJardiniers (WPT)40000.8573.561180074928000.0000084000
Stats d'équipe Total ou en Moyenne88383970.8873.6350882330827311397110.650208484731


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 Salaire RestantCap 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
Adin HillJardiniers (WPT)G231996-05-11No202 Lbs198 CMNoNoNo1Pro & Farm925,000$0$0$NoLien
Alex LyonJardiniers (WPT)G261992-12-09No201 Lbs185 CMNoNoNo1Pro & Farm925,000$0$0$NoLien
Brett RitchieJardiniers (WPT)RW261993-07-01No220 Lbs193 CMNoNoNo1Pro & Farm1,750,000$0$0$NoLien / Lien NHL
Colin WhiteJardiniers (WPT)C221997-01-30No183 Lbs183 CMNoNoNo2Pro & Farm1,491,666$0$0$No1,491,666$Lien
Connor CarrickJardiniers (WPT)D251994-04-13No192 Lbs180 CMNoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Danny O'ReganJardiniers (WPT)C251994-01-30No180 Lbs178 CMNoNoNo1Pro & Farm925,000$0$0$NoLien
David WarsofskyJardiniers (WPT)D291990-05-30No170 Lbs175 CMNoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Hudson FaschingJardiniers (WPT)RW241995-07-28No204 Lbs191 CMNoNoNo2Pro & Farm874,125$0$0$No874,125$Lien / Lien NHL
Hunter MiskaJardiniers (WPT)G241995-07-07No175 Lbs185 CMNoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Ian McCoshenJardiniers (WPT)D241995-08-05No217 Lbs191 CMNoNoNo2Pro & Farm1,025,000$0$0$No1,025,000$Lien / Lien NHL
Jake VirtanenJardiniers (WPT)RW231996-08-17No226 Lbs185 CMNoNoNo1Pro & Farm1,250,000$0$0$NoLien / Lien NHL
Jakub VranaJardiniers (WPT)LW231996-02-28No197 Lbs183 CMNoNoNo2Pro & Farm1,363,333$0$0$No1,363,333$Lien
Jared McCannJardiniers (WPT)C/LW231996-05-31No185 Lbs185 CMNoNoNo1Pro & Farm1,137,500$0$0$NoLien / Lien NHL
Joel Eriksson EkJardiniers (WPT)C221997-01-29No208 Lbs185 CMNoNoNo2Pro & Farm1,106,666$0$0$No1,106,666$Lien / Lien NHL
Jon GilliesJardiniers (WPT)G251994-01-22No223 Lbs198 CMNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Josh LeivoJardiniers (WPT)LW261993-05-26No192 Lbs188 CMNoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Joshua Ho-SangJardiniers (WPT)RW231996-01-22No173 Lbs183 CMNoNoNo1Pro & Farm1,075,833$0$0$NoLien / Lien NHL
Kyle RauJardiniers (WPT)C261992-10-24No176 Lbs173 CMNoNoNo1Pro & Farm700,000$0$0$NoLien
Lawson CrouseJardiniers (WPT)RW221997-06-23No220 Lbs193 CMNoNoNo2Pro & Farm1,602,500$0$0$No1,602,500$Lien / Lien NHL
Madison BoweyJardiniers (WPT)D241995-04-22No198 Lbs188 CMNoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Marcus HogbergJardiniers (WPT)G241994-11-25Yes209 Lbs196 CMNoNoNo2Pro & Farm850,000$0$0$No850,000$Lien
Marcus PetterssonJardiniers (WPT)D231996-05-08No177 Lbs191 CMNoNoNo1Pro & Farm894,167$0$0$NoLien
Matthew HighmoreJardiniers (WPT)C/LW231996-02-27No188 Lbs180 CMNoNoNo1Pro & Farm925,000$0$0$NoLien
Mirco MuellerJardiniers (WPT)D241995-03-21No210 Lbs191 CMNoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Riley SheahanJardiniers (WPT)C271991-12-07No214 Lbs191 CMNoNoNo1Pro & Farm2,075,000$0$0$NoLien / Lien NHL
Roland McKeownJardiniers (WPT)D231996-01-20No195 Lbs185 CMNoNoNo1Pro & Farm894,167$0$0$NoLien
Seb AhoJardiniers (WPT)D231996-02-17No177 Lbs180 CMNoNoNo1Pro & Farm925,000$0$0$NoLien
Sonny MilanoJardiniers (WPT)LW231996-05-12No195 Lbs183 CMNoNoNo1Pro & Farm1,263,333$0$0$NoLien / Lien NHL
Tomas JurcoJardiniers (WPT)RW261992-12-28No188 Lbs188 CMNoNoNo2Pro & Farm990,000$0$0$No990,000$Lien / Lien NHL
Tomas NosekJardiniers (WPT)LW271992-09-01No210 Lbs191 CMNoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Vladislav KamenevJardiniers (WPT)LW231996-08-12No194 Lbs188 CMNoNoNo2Pro & Farm894,167$0$0$No894,167$Lien / Lien NHL
Zack KassianJardiniers (WPT)RW281991-01-24No211 Lbs191 CMNoNoNo2Pro & Farm1,950,000$0$0$No1,950,000$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3224.34197 Lbs188 CM1.411,044,921$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Colin WhiteZack Kassian40122
2Jakub VranaRiley SheahanJake Virtanen30122
3Josh LeivoJoel Eriksson EkLawson Crouse20122
4Sonny MilanoMatthew HighmoreJoshua Ho-Sang10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marcus PetterssonMadison Bowey40122
2Connor CarrickMirco Mueller30122
3Ian McCoshenSeb Aho20122
4Roland McKeownDavid Warsofsky10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Colin WhiteZack Kassian60122
2Jakub VranaRiley SheahanJake Virtanen40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marcus PetterssonMadison Bowey60122
2Connor CarrickMirco Mueller40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Colin White60122
2Jakub VranaRiley Sheahan40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marcus PetterssonMadison Bowey60122
2Connor CarrickMirco Mueller40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Colin White60122Marcus PetterssonMadison Bowey60122
240122Connor CarrickMirco Mueller40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Colin White60122
2Jakub VranaRiley Sheahan40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marcus PetterssonMadison Bowey60122
2Connor CarrickMirco Mueller40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Colin WhiteZack KassianMarcus PetterssonMadison Bowey
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Colin WhiteZack KassianMarcus PetterssonMadison Bowey
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Sonny Milano, Brett Ritchie, Tomas JurcoSonny Milano, Brett RitchieTomas Jurco
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ian McCoshen, Seb Aho, Roland McKeownIan McCoshenSeb Aho, Roland McKeown
Tirs de Pénalité
Colin White, , Jakub Vrana, Riley Sheahan, Zack Kassian
Gardien
#1 : Adin Hill, #2 : Alex Lyon, #3 : Jon Gillies


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
1Barracuda504001001028-1820100100610-430300000418-1410.1001018280012295991617010159419114216366589319421.05%281064.29%01138188260.47%1073191955.91%746121961.20%1998130818346801257627
2Benchwarmers834001002425-121100000880623001001617-170.438244165011229599162511015941911422598992136391025.64%41782.93%11138188260.47%1073191955.91%746121961.20%1998130818346801257627
3Caribou84001030481731320000101961352001020291118161.00048841320012295991628310159419114225111611115027725.93%43588.37%11138188260.47%1073191955.91%746121961.20%1998130818346801257627
4Casse-Tete40400000923-142020000059-420200000414-1000.000916250012295991614410159419114214642406514214.29%201050.00%01138188260.47%1073191955.91%746121961.20%1998130818346801257627
5Chevalier715010001927-8412010001112-130300000815-740.28619375600122959916237101594191142257866811816212.50%34779.41%01138188260.47%1073191955.91%746121961.20%1998130818346801257627
6Diabotins5410000015963300000010462110000055080.80015243901122959916198101594191142124404210610110.00%21576.19%31138188260.47%1073191955.91%746121961.20%1998130818346801257627
7Hooligans824010106732356130101059213821100000811-380.5006711318001122959916319101594191142278728613120630.00%431565.12%21138188260.47%1073191955.91%746121961.20%1998130818346801257627
8Hybrides421000011516-12200000092720100001614-850.6251529440012295991614410159419114213456428118316.67%21576.19%11138188260.47%1073191955.91%746121961.20%1998130818346801257627
9Leftovers64200000282443210000015105321000001314-180.66728507800122959916212101594191142186574898381334.21%241154.17%01138188260.47%1073191955.91%746121961.20%1998130818346801257627
10Pirates41200001915-62110000067-12010000138-530.37591827001229599161461015941911421626252608112.50%26869.23%01138188260.47%1073191955.91%746121961.20%1998130818346801257627
11Requins804012102432-8402001101217-5402011001215-360.375244266101229599162411015941911422521009215538821.05%471470.21%11138188260.47%1073191955.91%746121961.20%1998130818346801257627
12Royaux632001002222022000000954412001001317-470.58322375900122959916198101594191142194807411525728.00%36877.78%21138188260.47%1073191955.91%746121961.20%1998130818346801257627
Total8427390655232731116421716042301991386142102302322128173-45830.494327581908131229599162891101594191142273299296315083328024.10%44612172.87%111138188260.47%1073191955.91%746121961.20%1998130818346801257627
14Vagabond623010002022-241201000161602110000046-260.50020395900122959916203101594191142172578011030826.67%35877.14%01138188260.47%1073191955.91%746121961.20%1998130818346801257627
15Werewolves513010001719-231101000141132020000038-540.4001733500012295991614510159419114215469789030826.67%27870.37%01138188260.47%1073191955.91%746121961.20%1998130818346801257627
_Since Last GM Reset8427390655232731116421716042301991386142102302322128173-45830.494327581908131229599162891101594191142273299296315083328024.10%44612172.87%111138188260.47%1073191955.91%746121961.20%1998130818346801257627
_Vs Conference45162003321187159282491002120126834321710012016176-15460.51118732751413122959916157010159419114214334774927961834725.68%2376871.31%71138188260.47%1073191955.91%746121961.20%1998130818346801257627
_Vs Division23811013116197-361254001103445-111137012012752-25240.5226111317410122959916768101594191142817290252398761317.11%1273969.29%11138188260.47%1073191955.91%746121961.20%1998130818346801257627

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8483W232758190828912732992963150813
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8427396552327311
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4217164230199138
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4210232322128173
Derniers 10 Matchs
WLOTWOTL SOWSOL
640000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3328024.10%44612172.87%11
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
101594191142122959916
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
1138188260.47%1073191955.91%746121961.20%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1998130818346801257627


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
1 - 2019-10-061Hooligans0Jardiniers44WSommaire du Match
2 - 2019-10-077Jardiniers2Benchwarmers5LSommaire du Match
4 - 2019-10-0917Jardiniers3Chevalier6LSommaire du Match
7 - 2019-10-1226Chevalier1Jardiniers3WSommaire du Match
8 - 2019-10-1333Jardiniers3Caribou2WXXSommaire du Match
10 - 2019-10-1540Hooligans5Jardiniers3LSommaire du Match
13 - 2019-10-1848Requins4Jardiniers3LXSommaire du Match
14 - 2019-10-1952Jardiniers2Royaux4LSommaire du Match
15 - 2019-10-2057Jardiniers3Benchwarmers4LXSommaire du Match
17 - 2019-10-2269Vagabond4Jardiniers3LSommaire du Match
20 - 2019-10-2575Jardiniers1Benchwarmers3LSommaire du Match
21 - 2019-10-2683Jardiniers3Caribou2WXXSommaire du Match
23 - 2019-10-2888Chevalier4Jardiniers1LSommaire du Match
25 - 2019-10-3098Hooligans3Jardiniers4WXXSommaire du Match
28 - 2019-11-02108Requins5Jardiniers2LSommaire du Match
30 - 2019-11-04116Jardiniers3Requins4LSommaire du Match
31 - 2019-11-05123Werewolves4Jardiniers5WXSommaire du Match
33 - 2019-11-07132Jardiniers5Hooligans4WSommaire du Match
34 - 2019-11-08138Jardiniers5Hybrides6LXXSommaire du Match
36 - 2019-11-10142Jardiniers1Casse-Tete7LSommaire du Match
37 - 2019-11-11149Leftovers3Jardiniers7WSommaire du Match
40 - 2019-11-14156Jardiniers2Pirates3LXXSommaire du Match
41 - 2019-11-15162Chevalier3Jardiniers4WXSommaire du Match
43 - 2019-11-17170Jardiniers6Leftovers5WSommaire du Match
44 - 2019-11-18178Werewolves3Jardiniers1LSommaire du Match
46 - 2019-11-20188Jardiniers3Hooligans7LSommaire du Match
48 - 2019-11-22194Hooligans5Jardiniers1LSommaire du Match
50 - 2019-11-24202Jardiniers1Pirates5LSommaire du Match
52 - 2019-11-26207Diabotins2Jardiniers3WSommaire du Match
55 - 2019-11-29220Caribou3Jardiniers4WXXSommaire du Match
56 - 2019-11-30224Jardiniers2Werewolves4LSommaire du Match
58 - 2019-12-02233Casse-Tete4Jardiniers1LSommaire du Match
60 - 2019-12-04239Jardiniers4Requins3WXSommaire du Match
62 - 2019-12-06249Requins4Jardiniers2LSommaire du Match
63 - 2019-12-07255Jardiniers17Caribou3WSommaire du Match
65 - 2019-12-09264Leftovers2Jardiniers6WSommaire du Match
66 - 2019-12-10268Jardiniers2Requins3LXSommaire du Match
68 - 2019-12-12277Benchwarmers5Jardiniers6WSommaire du Match
70 - 2019-12-14281Jardiniers3Vagabond1WSommaire du Match
71 - 2019-12-15292Jardiniers2Caribou1WSommaire du Match
73 - 2019-12-17299Barracuda4Jardiniers3LXSommaire du Match
76 - 2019-12-20307Jardiniers2Benchwarmers3LSommaire du Match
77 - 2019-12-21314Royaux1Jardiniers3WSommaire du Match
80 - 2019-12-24322Jardiniers5Benchwarmers2WSommaire du Match
81 - 2019-12-25329Vagabond3Jardiniers4WXSommaire du Match
85 - 2019-12-29339Hooligans4Jardiniers2LSommaire du Match
86 - 2019-12-30347Jardiniers1Barracuda6LSommaire du Match
88 - 2020-01-01355Barracuda6Jardiniers3LSommaire du Match
89 - 2020-01-02361Jardiniers4Leftovers2WSommaire du Match
91 - 2020-01-04369Jardiniers2Barracuda5LSommaire du Match
93 - 2020-01-06375Requins4Jardiniers5WXXSommaire du Match
95 - 2020-01-08382Jardiniers1Vagabond5LSommaire du Match
97 - 2020-01-10388Caribou2Jardiniers13WSommaire du Match
98 - 2020-01-11395Jardiniers3Diabotins4LSommaire du Match
100 - 2020-01-13402Chevalier4Jardiniers3LSommaire du Match
101 - 2020-01-14404Jardiniers6Royaux4WSommaire du Match
104 - 2020-01-17417Pirates2Jardiniers3WSommaire du Match
106 - 2020-01-19421Jardiniers2Chevalier4LSommaire du Match
107 - 2020-01-20431Jardiniers1Hybrides8LSommaire du Match
108 - 2020-01-21434Casse-Tete5Jardiniers4LSommaire du Match
112 - 2020-01-25447Pirates5Jardiniers3LSommaire du Match
114 - 2020-01-27456Vagabond5Jardiniers4LSommaire du Match
116 - 2020-01-29464Jardiniers4Royaux5LXSommaire du Match
117 - 2020-01-30468Jardiniers1Barracuda7LSommaire du Match
119 - 2020-02-01476Hooligans4Jardiniers5WXSommaire du Match
120 - 2020-02-02480Jardiniers4Caribou3WXSommaire du Match
122 - 2020-02-04490Jardiniers1Werewolves4LSommaire du Match
123 - 2020-02-05494Caribou1Jardiniers2WSommaire du Match
126 - 2020-02-08503Jardiniers3Casse-Tete7LSommaire du Match
129 - 2020-02-11509Royaux4Jardiniers6WSommaire du Match
131 - 2020-02-13522Benchwarmers3Jardiniers2LSommaire du Match
133 - 2020-02-15526Jardiniers3Chevalier5LSommaire du Match
134 - 2020-02-16529Jardiniers3Benchwarmers0WSommaire du Match
137 - 2020-02-19539Werewolves4Jardiniers8WSommaire du Match
139 - 2020-02-21549Jardiniers3Requins5LSommaire du Match
140 - 2020-02-22554Vagabond4Jardiniers5WSommaire du Match
142 - 2020-02-24563Jardiniers2Diabotins1WSommaire du Match
143 - 2020-02-25566Jardiniers3Leftovers7LSommaire du Match
144 - 2020-02-26569Diabotins0Jardiniers4WSommaire du Match
147 - 2020-02-29582Jardiniers1Royaux4LSommaire du Match
148 - 2020-03-01585Diabotins2Jardiniers3WSommaire du Match
152 - 2020-03-05600Leftovers5Jardiniers2LSommaire du Match
157 - 2020-03-10615Hybrides1Jardiniers5WSommaire du Match
162 - 2020-03-15629Hybrides1Jardiniers4WSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,855,762$ 3,343,746$ 2,731,995$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
20,514$ 3,855,762$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 20,514$ 0$




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
20198427390655232731116421716042301991386142102302322128173-4583327581908131229599162891101594191142273299296315083328024.10%44612172.87%111138188260.47%1073191955.91%746121961.20%1998130818346801257627
Total Saison Régulière8427390655232731116421716042301991386142102302322128173-4583327581908131229599162891101594191142273299296315083328024.10%44612172.87%111138188260.47%1073191955.91%746121961.20%1998130818346801257627