Werewolves

GP: 84 | W: 58 | L: 20 | OTL: 6 | P: 122
GF: 345 | GA: 215 | PP%: 26.25% | PK%: 77.97%
DG: Jean-Nicolas Bleau | Morale : 50 | Moyenne d'Équipe : 69
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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
1James Neal0XX100.00573063318274567541808258857874050740
2Colton Sissons (A)0X100.00763263386776757082798180605859050730
3Mark Jankowski0X100.00442567377959907584798270724044050720
4Evan Rodrigues0X100.00422666344472737473818172704445050720
5Nolan Patrick (A)0X100.00583064346269707381818262783954050720
6Jimmy Vesey0XX100.00602770347073797337798269784347050720
7Sven Baertschi0X100.0045766295572477633818458775836050710
8Jesper Fast0X100.0078963406173656839808275576043050710
9Mattias Janmark0X100.00391064376273676943808171705638050710
10Vinnie Hinostroza0X100.00572670323969777647828365754645050710
11Brendan Leipsic0X100.00573163354863747158818156715558050700
12Jason Dickinson0X100.00783063436760756869798072655155050700
13Anthony Duclair0X100.00482767315459777633798456805151050700
14Jordan Greenway0X100.00551564398663876842778056663935050690
15Adam Erne0X100.00853752437848756954788152655160050680
16Warren Foegele0X100.00792364396458876952768156663940050680
17Rocco Grimaldi0XXX100.00602468373946767362778242665043050660
18Jordan Oesterle0X100.00561675445269798229837664654536050710
19Matt Grzelcyk0X100.00541458443965718329837650654742050700
20Jamie Oleksiak0X100.00873949479755768127817653625455050700
21Stephen Johns0X100.00853264458764508229797667644951050700
22Gustav Forsling0X100.00551659455164688231827663654637050690
23Gavin Bayreuther0X100.00422468486166817430747361673943050680
24Jonas Siegenthaler (R)0X100.00661264567053817430787454674533050660
Rayé
1Anders Bjork0XX100.00472073415456676364777951663639050650
2Denis Gurianov0X100.00562883546149815935687655673843050620
3Kailer Yamamoto0X100.00472277561862765931687665673638050610
4Kevin Stenlund (R)0X100.00332174667550835631647066683942050600
5Chase De Leo (R)0X100.00282690674157835631647070685345050590
6Ben Gleason0X100.00362083585055836731727055683737050630
MOYENNE D'ÉQUIPE100.0057236743606274714577796169474605068
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
1Louis Domingue100.0089928786889290899078806870050830
2Collin Delia100.0083928481838987878856603955050790
Rayé
MOYENNE D'ÉQUIPE100.008692868486918988896770546305081
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sheldon Keefe70707070707070CAN453450,000$


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
1Nolan PatrickWerewolves (GOB)C843688124435201151402698116413.38%37173620.681128395725020231257363.98%13635027011.43250007107
2Sven BaertschiWerewolves (GOB)LW8449691184436040662667717318.42%21153018.2213304350219000009343.02%864912031.5400000878
3Jesper FastWerewolves (GOB)RW83356196253001861562697617913.01%62154618.6314203460253000006248.19%834635021.2401000786
4Colton SissonsWerewolves (GOB)C8425547922580170227265911579.43%123198223.603192247237415143282268.00%10753854010.8039000352
5James NealWerewolves (GOB)LW/RW832443671856011093263761839.13%41204724.6710142449230044143254249.84%6445018000.6528000440
6Mark JankowskiWerewolves (GOB)C8422355744260381631817513112.15%53115013.69000000222944169.79%6723318010.9911000313
7Vinnie HinostrozaWerewolves (GOB)LW84292352432405281141529720.57%3488710.5600001000033450.00%302813011.1700000421
8Jimmy VeseyWerewolves (GOB)LW/RW8416355172607488186691448.60%2995411.369122154242011090042.86%562716001.0714000200
9Jordan OesterleWerewolves (GOB)D8311334472006712212873658.59%138216426.0751116262810448334100.00%04260000.4101000012
10Evan RodriguesWerewolves (GOB)LW8493443182802589186551064.84%2598611.74011533000002057.89%382216000.8700000001
11Stephen JohnsWerewolves (GOB)D8317254231695139123113444115.04%74170520.5567132721710110194330.00%03134000.4900000126
12Jason DickinsonWerewolves (GOB)C84191837172007081148479012.84%2786210.2600000000011265.39%5492418000.8600000211
13Matt GrzelcykWerewolves (GOB)D841915342370010353115455516.52%64205724.497310372721127295200.00%03223010.3300000201
14Gustav ForslingWerewolves (GOB)D84529345342048746731397.46%56116113.820000000001300.00%02031000.5900000201
15Jamie OleksiakWerewolves (GOB)D841018283311201784610339379.71%56170420.295611272260117183210.00%03519010.3300000001
16Rocco GrimaldiWerewolves (GOB)C/LW/RW57111122-2300552811732729.40%575613.2800000000020149.53%319414000.5800000011
17Mattias JanmarkWerewolves (GOB)LW8451318196063338111913.16%103984.751013201014372071.79%3936000.9000000001
18Anthony DuclairWerewolves (GOB)LW84610162020361941431.58%2981.1801114000022050.00%460013.2401000002
19Alexander KerfootGoblinsC/LW5347200582031015.00%09519.04033323000081161.76%6821001.4701000110
20Ben GleasonWerewolves (GOB)D45033202042115570.00%1866614.8100000000060000.00%018000.0900000000
21Jordan GreenwayWerewolves (GOB)LW7312330081411519.09%81982.7100000112101660051.14%8842000.3000000000
22Gavin BayreutherWerewolves (GOB)D110224201112230.00%1216615.1200000011019000.00%005000.2400000000
23Brendan LeipsicWerewolves (GOB)LW11000-100151320.00%2222.06000000001180068.75%1601000.0000000000
24Jonas SiegenthalerWerewolves (GOB)D11000000310000.00%2383.480000000000000.00%002000.0000000000
Stats d'équipe Total ou en Moyenne16373526259774937115150117292923996178912.04%8992491715.22841552394462516101626802213542561.91%51305844230120.78931000464344
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
1Louis DomingueWerewolves (GOB)83572060.9212.4949962320726081393500.708248301665
2Collin DeliaWerewolves (GOB)31000.7373.1994015198000.0000184000
Stats d'équipe Total ou en Moyenne86582060.9192.5050902421226271401500.7082484841665


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
Adam ErneWerewolves (GOB)LW241995-04-20No214 Lbs185 CMNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Anders BjorkWerewolves (GOB)LW/RW231996-08-05No190 Lbs183 CMNoNoNo1Pro & Farm1,066,667$0$0$NoLien
Anthony DuclairWerewolves (GOB)LW241995-08-26No191 Lbs180 CMNoNoNo2Pro & Farm650,000$0$0$No650,000$Lien / Lien NHL
Ben GleasonWerewolves (GOB)D211998-03-25No185 Lbs185 CMNoNoNo2Pro & Farm761,666$0$0$No761,666$Lien
Brendan LeipsicWerewolves (GOB)LW251994-05-19No182 Lbs178 CMNoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Chase De LeoWerewolves (GOB)LW231995-10-25Yes179 Lbs175 CMNoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Collin DeliaWerewolves (GOB)G251994-06-20No208 Lbs188 CMNoNoNo1Pro & Farm750,000$0$0$NoLien
Colton SissonsWerewolves (GOB)C251993-11-05No200 Lbs185 CMNoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Denis GurianovWerewolves (GOB)RW221997-06-07No195 Lbs188 CMNoNoNo2Pro & Farm1,644,166$0$0$No1,644,166$Lien
Evan RodriguesWerewolves (GOB)LW261993-07-28No176 Lbs178 CMNoNoNo1Pro & Farm650,000$0$0$NoLien
Gavin BayreutherWerewolves (GOB)D251994-05-12No195 Lbs185 CMNoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Gustav ForslingWerewolves (GOB)D231996-06-12No186 Lbs183 CMNoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
James NealWerewolves (GOB)LW/RW321987-09-03No212 Lbs191 CMNoNoNo2Pro & Farm1,975,664$0$0$No1,975,664$Lien / Lien NHL
Jamie OleksiakWerewolves (GOB)D261992-12-21No255 Lbs201 CMNoNoNo3Pro & Farm2,137,500$0$0$No2,137,500$2,137,500$Lien / Lien NHL
Jason DickinsonWerewolves (GOB)C241995-07-04No200 Lbs188 CMNoNoNo1Pro & Farm925,000$0$0$NoLien
Jesper FastWerewolves (GOB)RW271991-12-02No192 Lbs185 CMNoNoNo2Pro & Farm1,850,000$0$0$No1,850,000$Lien / Lien NHL
Jimmy VeseyWerewolves (GOB)LW/RW261993-05-26No199 Lbs191 CMNoNoNo3Pro & Farm2,275,000$0$0$No2,275,000$2,275,000$Lien / Lien NHL
Jonas SiegenthalerWerewolves (GOB)D221997-05-06Yes206 Lbs191 CMNoNoNo2Pro & Farm888,333$0$0$No888,333$Lien
Jordan GreenwayWerewolves (GOB)LW221997-02-16No227 Lbs198 CMNoNoNo1Pro & Farm1,225,000$0$0$NoLien
Jordan OesterleWerewolves (GOB)D271992-06-25No182 Lbs183 CMNoNoNo2Pro & Farm650,000$0$0$No650,000$Lien / Lien NHL
Kailer YamamotoWerewolves (GOB)RW201998-09-29No153 Lbs173 CMNoNoNo1Pro & Farm1,155,000$0$0$NoLien
Kevin StenlundWerewolves (GOB)C231996-09-20Yes210 Lbs193 CMNoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Louis DomingueWerewolves (GOB)G271992-03-06No210 Lbs191 CMNoNoNo2Pro & Farm1,150,000$0$0$No1,150,000$Lien / Lien NHL
Mark JankowskiWerewolves (GOB)C251994-09-13No212 Lbs193 CMNoNoNo2Pro & Farm1,675,000$0$0$No1,675,000$Lien
Matt GrzelcykWerewolves (GOB)D251994-01-05No174 Lbs175 CMNoNoNo2Pro & Farm1,400,000$0$0$No1,400,000$Lien
Mattias JanmarkWerewolves (GOB)LW261992-12-08No195 Lbs185 CMNoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Nolan PatrickWerewolves (GOB)C211998-09-19No198 Lbs188 CMNoNoNo1Pro & Farm3,575,000$0$0$NoLien
Rocco GrimaldiWerewolves (GOB)C/LW/RW261993-02-08No180 Lbs168 CMNoNoNo2Pro & Farm650,000$0$0$No650,000$Lien / Lien NHL
Stephen JohnsWerewolves (GOB)D271992-04-18No225 Lbs193 CMNoNoNo1Pro & Farm725,000$0$0$NoLien / Lien NHL
Sven BaertschiWerewolves (GOB)LW261992-10-05No190 Lbs180 CMNoNoNo2Pro & Farm1,955,692$0$0$No1,955,692$Lien / Lien NHL
Vinnie HinostrozaWerewolves (GOB)LW251994-04-03No173 Lbs175 CMNoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien / Lien NHL
Warren FoegeleWerewolves (GOB)LW231996-04-01No198 Lbs188 CMNoNoNo1Pro & Farm800,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3224.56197 Lbs185 CM1.691,195,615$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1James NealColton SissonsJimmy Vesey40122
2Evan RodriguesNolan PatrickJesper Fast30122
3Sven BaertschiMark JankowskiRocco Grimaldi20122
4Mattias JanmarkJason DickinsonJames Neal10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan OesterleJamie Oleksiak40122
2Matt GrzelcykStephen Johns30122
3Gustav ForslingGavin Bayreuther20122
4Jonas SiegenthalerJordan Oesterle10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1James NealColton SissonsJimmy Vesey60122
2Evan RodriguesNolan PatrickJesper Fast40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan OesterleJamie Oleksiak60122
2Matt GrzelcykStephen Johns40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1James NealColton Sissons60122
2Jimmy VeseyNolan Patrick40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan OesterleJamie Oleksiak60122
2Matt GrzelcykStephen Johns40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1James Neal60122Jordan OesterleJamie Oleksiak60122
2Colton Sissons40122Matt GrzelcykStephen Johns40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1James NealColton Sissons60122
2Jimmy VeseyNolan Patrick40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan OesterleJamie Oleksiak60122
2Matt GrzelcykStephen Johns40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
James NealColton SissonsJimmy VeseyJordan OesterleJamie Oleksiak
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
James NealColton SissonsJimmy VeseyJordan OesterleJamie Oleksiak
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Vinnie Hinostroza, Anthony Duclair, Brendan LeipsicVinnie Hinostroza, Anthony DuclairBrendan Leipsic
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Gustav Forsling, Gavin Bayreuther, Jonas SiegenthalerGustav ForslingGavin Bayreuther, Jonas Siegenthaler
Tirs de Pénalité
James Neal, Colton Sissons, Jimmy Vesey, Nolan Patrick, Mark Jankowski
Gardien
#1 : Louis Domingue, #2 : Collin Delia


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
Total845020033533452151304232402211210891214218160114213512691220.7263456189630413110410212280597291489254262789568714563208426.25%3457677.97%101167184063.42%1105179161.70%707111963.18%2001130218056681288673
_Since Last GM Reset845020033533452151304232402211210891214218160114213512691220.7263456189630413110410212280597291489254262789568714563208426.25%3457677.97%101167184063.42%1105179161.70%707111963.18%2001130218056681288673
_Vs Conference3826601032180899120180010011214081188600031594910620.816180325505011311041021212919729148925412504032756721393827.34%1393276.98%61167184063.42%1105179161.70%707111963.18%2001130218056681288673
_Vs Division15730100164214385001001469377230000018126170.56764117181021311041021247397291489254418142102284501632.00%52688.46%21167184063.42%1105179161.70%707111963.18%2001130218056681288673

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
84122SOL134561896328052627895687145604
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8450203353345215
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42324221121089
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4218161142135126
Derniers 10 Matchs
WLOTWOTL SOWSOL
520102
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3208426.25%3457677.97%10
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
9729148925413110410212
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
1167184063.42%1105179161.70%707111963.18%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2001130218056681288673


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 - 2019-10-063Caribou0Werewolves44WSommaire du Match
3 - 2019-10-0811Werewolves4Hybrides1WSommaire du Match
5 - 2019-10-1018Werewolves2Hybrides3LSommaire du Match
6 - 2019-10-1123Hybrides1Werewolves5WSommaire du Match
8 - 2019-10-1330Werewolves4Leftovers5LSommaire du Match
10 - 2019-10-1539Werewolves3Leftovers0WSommaire du Match
12 - 2019-10-1745Casse-Tete2Werewolves3WXSommaire du Match
14 - 2019-10-1954Pirates2Werewolves0LSommaire du Match
17 - 2019-10-2266Diabotins1Werewolves3WSommaire du Match
19 - 2019-10-2473Werewolves3Caribou1WSommaire du Match
21 - 2019-10-2680Pirates1Werewolves4WSommaire du Match
23 - 2019-10-2890Werewolves5Benchwarmers3WSommaire du Match
24 - 2019-10-2996Caribou2Werewolves3WSommaire du Match
25 - 2019-10-3097Werewolves4Leftovers2WSommaire du Match
28 - 2019-11-02106Werewolves1Diabotins2LSommaire du Match
29 - 2019-11-03114Chevalier1Werewolves3WSommaire du Match
31 - 2019-11-05123Werewolves4Jardiniers5LXSommaire du Match
33 - 2019-11-07129Caribou1Werewolves4WSommaire du Match
34 - 2019-11-08137Werewolves6Vagabond4WSommaire du Match
36 - 2019-11-10144Vagabond4Werewolves2LSommaire du Match
38 - 2019-11-12153Werewolves4Hybrides1WSommaire du Match
40 - 2019-11-14159Werewolves5Benchwarmers4WXSommaire du Match
41 - 2019-11-15163Hybrides1Werewolves2WSommaire du Match
43 - 2019-11-17172Werewolves3Casse-Tete6LSommaire du Match
44 - 2019-11-18178Werewolves3Jardiniers1WSommaire du Match
46 - 2019-11-20185Leftovers3Werewolves4WSommaire du Match
48 - 2019-11-22193Diabotins1Werewolves4WSommaire du Match
51 - 2019-11-25204Werewolves1Benchwarmers3LSommaire du Match
52 - 2019-11-26209Pirates1Werewolves3WSommaire du Match
55 - 2019-11-29218Werewolves3Royaux1WSommaire du Match
56 - 2019-11-30224Jardiniers2Werewolves4WSommaire du Match
58 - 2019-12-02234Requins5Werewolves6WXXSommaire du Match
61 - 2019-12-05245Vagabond1Werewolves2WSommaire du Match
63 - 2019-12-07254Werewolves1Requins2LSommaire du Match
64 - 2019-12-08260Werewolves4Leftovers3WXXSommaire du Match
65 - 2019-12-09265Werewolves4Royaux3WSommaire du Match
67 - 2019-12-11271Pirates3Werewolves6WSommaire du Match
69 - 2019-12-13280Chevalier1Werewolves3WSommaire du Match
70 - 2019-12-14284Werewolves4Hooligans3WSommaire du Match
72 - 2019-12-16294Casse-Tete4Werewolves3LXXSommaire du Match
74 - 2019-12-18302Werewolves4Diabotins2WSommaire du Match
76 - 2019-12-20309Diabotins0Werewolves4WSommaire du Match
79 - 2019-12-23318Hooligans1Werewolves2WXSommaire du Match
80 - 2019-12-24326Werewolves4Caribou3WXXSommaire du Match
83 - 2019-12-27333Werewolves4Chevalier3WXXSommaire du Match
85 - 2019-12-29340Casse-Tete3Werewolves6WSommaire du Match
86 - 2019-12-30348Caribou2Werewolves4WSommaire du Match
88 - 2020-01-01354Werewolves1Requins2LSommaire du Match
90 - 2020-01-03365Benchwarmers3Werewolves4WSommaire du Match
91 - 2020-01-04370Werewolves2Hooligans8LSommaire du Match
94 - 2020-01-07379Werewolves1Casse-Tete2LSommaire du Match
96 - 2020-01-09383Hybrides1Werewolves6WSommaire du Match
98 - 2020-01-11394Benchwarmers4Werewolves3LSommaire du Match
102 - 2020-01-15407Royaux2Werewolves4WSommaire du Match
103 - 2020-01-16411Werewolves8Caribou2WSommaire du Match
105 - 2020-01-18420Werewolves1Hybrides3LSommaire du Match
107 - 2020-01-20427Werewolves4Barracuda2WSommaire du Match
108 - 2020-01-21432Barracuda1Werewolves3WSommaire du Match
110 - 2020-01-23441Diabotins1Werewolves18WSommaire du Match
112 - 2020-01-25448Werewolves4Leftovers2WSommaire du Match
114 - 2020-01-27452Werewolves1Chevalier6LSommaire du Match
115 - 2020-01-28460Royaux3Werewolves6WSommaire du Match
118 - 2020-01-31470Werewolves3Pirates4LSommaire du Match
119 - 2020-02-01475Chevalier2Werewolves4WSommaire du Match
121 - 2020-02-03485Werewolves2Diabotins0WSommaire du Match
122 - 2020-02-04490Jardiniers1Werewolves4WSommaire du Match
125 - 2020-02-07500Pirates2Werewolves1LSommaire du Match
129 - 2020-02-11512Barracuda4Werewolves5WSommaire du Match
131 - 2020-02-13521Werewolves1Leftovers3LSommaire du Match
134 - 2020-02-16527Leftovers2Werewolves4WSommaire du Match
137 - 2020-02-19539Werewolves4Jardiniers8LSommaire du Match
138 - 2020-02-20544Hybrides3Werewolves4WSommaire du Match
140 - 2020-02-22553Werewolves2Pirates1WSommaire du Match
142 - 2020-02-24559Hooligans5Werewolves4LXSommaire du Match
144 - 2020-02-26570Benchwarmers3Werewolves5WSommaire du Match
146 - 2020-02-28579Werewolves7Barracuda5WSommaire du Match
148 - 2020-03-01587Casse-Tete3Werewolves4WSommaire du Match
150 - 2020-03-03591Werewolves2Caribou1WXXSommaire du Match
151 - 2020-03-04596Werewolves3Benchwarmers4LXXSommaire du Match
154 - 2020-03-07605Barracuda3Werewolves5WSommaire du Match
156 - 2020-03-09612Werewolves5Vagabond6LSommaire du Match
158 - 2020-03-11616Requins3Werewolves2LXSommaire du Match
159 - 2020-03-12619Werewolves2Barracuda3LSommaire du Match
160 - 2020-03-13623Werewolves2Royaux3LXXSommaire 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
3,803,592$ 3,825,969$ 2,696,552$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
23,472$ 3,803,592$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 23,472$ 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
2019845020033533452151304232402211210891214218160114213512691223456189630413110410212280597291489254262789568714563208426.25%3457677.97%101167184063.42%1105179161.70%707111963.18%2001130218056681288673
Total Saison Régulière845020033533452151304232402211210891214218160114213512691223456189630413110410212280597291489254262789568714563208426.25%3457677.97%101167184063.42%1105179161.70%707111963.18%2001130218056681288673