Vagabond

GP: 46 | W: 31 | L: 8 | OTL: 7 | P: 69
GF: 260 | GA: 144 | PP%: 28.14% | PK%: 77.65%
DG: Jonathan Therrien | Morale : 50 | Moyenne d'Équipe : 64
Prochain matchs #341 vs Benchwarmers
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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
1Blake Comeau0XX100.00874482787470835938494774758284050690341650,000$
2Milan Lucic0X100.00958275708865916535494765258288050690322650,000$
3Derek Ryan0XX100.00595893776367926267514875756566050680331650,000$
4Ryan Hartman0XX100.00716373836863936549494780256465049680261875,000$
5Wayne Simmonds0XX100.00855771777169917035504863618184050680322850,000$
6Lucas Wallmark0X100.00744289766565916365494875256061050670251675,000$
7Drake Batherson0X100.00877583777170907654514757254747050670221773,333$
8Mattias Janmark0X100.00624292827269896836504768256566050670272650,000$
9Kevin Labanc0X100.00704285836771937530524959756365050670241925,000$
10Chandler Stephenson0X100.00704294797365826257494764256365050650261650,000$
11Ryan Donato0X100.007061948367608566415049628058590506402411,900,000$
12Mathieu Joseph0X100.00804387826559855936484767255758050630231910,833$
13Cody Glass (R)0XX100.006341948067656174534947592547470506202121,713,333$
14Brenden Dillon0X100.00927366848677936125433872257477050650292650,000$
15Jack Johnson0X100.00924587768178925725413872628385050650332655,000$
16Dylan DeMelo0X100.00825184807479856325423872256566050640272900,000$
17Ryan Murray0X100.006441948375816162254539732566670506402622,825,000$
18Mark Friedman0X100.00716579646776814925333361394444050560241825,000$
19Louie Belpedio0X100.00717164646974834825323261394444050550242700,000$
20Christian Wolanin0X100.00696283797061595138333265415757050540252960,000$
Rayé
1Vladislav Namestnikov0XXXHO825081816670896636504969256769013670272650,000$
2Mark Jankowski0X100.006243927577608561564747772559600506602611,675,000$
3Antoine Roussel0X100.00775665817263716638504864757273050650301650,000$
4Adam Gaudette0X100.006552827765628366705249542557570506302321,491,667$
5Dillon Dube0XX100.00784395836663776225504762755252050630221910,833$
6Troy Terry0XX100.005740957765688474365046545354540506302321,491,667$
7Alexander True0X100.00855490677863775763494457255656050620232800,000$
8Taro Hirose0X100.006541926359637177264946612547470506202411,350,000$
9Mikhail Vorobyev0X100.00594190717256785585484666254747050610231925,000$
MOYENNE D'ÉQUIPE100.0074528577716783634247446641616204964
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
1Anders Nilsson100.0061596095746770627862835959046690
2Mike Smith100.0058737486646381586758737577050690
Rayé
MOYENNE D'ÉQUIPE100.006066679169657660736078676804869
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Tim Connolly70707070707070CAN385450,000$


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
1Derek RyanVagabond (PIR)C/RW4624446831201377110417721.82%2792920.211114252916114561473257.13%9407532021.4611000233
2Kevin LabancVagabond (PIR)RW462534592314033151305113019.23%864013.927162329118000003025.00%3218011031.8411000542
3Drake BathersonVagabond (PIR)RW46154358321208917155461039.68%575316.395611251010223341154.00%501279011.5401000236
4Ryan HartmanVagabond (PIR)LW/RW442726533246056471383610019.57%1774216.8725714982136381046.15%3910231011.4301000533
5Ryan DonatoVagabond (PIR)C46232851-1403337105517121.90%1066014.36741116490000122044.22%3981009011.5401000331
6Lucas WallmarkVagabond (PIR)C462031512520396188478522.73%2177816.9251015191431123336056.18%5347623011.3100000221
7Blake ComeauVagabond (PIR)LW/RW462422462826010656114275721.05%2492120.04791619161505151464148.08%526635001.0014000332
8Cody GlassVagabond (PIR)C/RW41192241740143599276319.19%1151712.623811861000013052.00%1509712021.5800000320
9Wayne SimmondsVagabond (PIR)LW/RW46211940195756431114389818.42%1163213.7542618400111260226.32%199910011.2623000023
10Brady TkachukPiranhasLW132310338240451861214737.70%731624.34741113420002434157.58%132687042.0902000422
11Brenden DillonVagabond (PIR)D463222533680132506724254.48%65115825.19156181770111138000.00%0472000.4302000001
12Mattias JanmarkVagabond (PIR)LW46151025180092975134220.00%94519.8200000000001150.00%18639001.1100000112
13Jack JohnsonVagabond (PIR)D46320232714081617039324.29%6598421.40235171290110104010.00%0662000.4700000000
14Chandler StephensonVagabond (PIR)C33812201000171557223814.04%32898.7800000000000155.93%177436001.3800000101
15Dylan DeMeloVagabond (PIR)D46218203612053525325333.77%6794520.5603391290222131000.00%0265000.4200000001
16Mathieu JosephVagabond (PIR)RW41101020320333164256715.63%1545811.1900000000000033.33%216217000.8700000001
17Ryan MurrayVagabond (PIR)D4611617312015433721192.70%3061313.340000000000000.00%0228000.5500000000
18Mark JankowskiVagabond (PIR)C368715166014274482318.18%1339110.89000000002201151.79%1121517000.7700000102
19Ian ColePiranhasD32111122722037282621233.85%2843113.4900000000016000.00%0230000.5600000000
20Milan LucicVagabond (PIR)LW364610300214135930.77%01193.3334712103000001037.50%870001.6701000001
21Christian WolaninVagabond (PIR)D1204424061515640.00%1516914.0900000000211000.00%027000.4700000000
22Adam GaudetteVagabond (PIR)C1000100003020.00%01010.770000000000000.00%020000.0000000000
Stats d'équipe Total ou en Moyenne84127641569141132159107491638594114816.85%4511291915.36649315724615209132243910301153.17%268212004920161.07517000322832
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
1Jonathan BernierPiranhas3725660.8982.992246201121103643300.71414370113
2Mike SmithVagabond (PIR)36181430.8853.592124021271100685300.7147360214
3Anders NilssonVagabond (PIR)10100.9004.0015001105000.0000033000
Stats d'équipe Total ou en Moyenne74432190.8923.2843862224022131333600.714217333327


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 GaudetteVagabond (PIR)C231996-10-02No170 Lbs185 CMNoNoNo2Pro & Farm1,491,667$689,695$0$0$No1,491,667$Lien / Lien NHL
Alexander TrueVagabond (PIR)C231997-07-17No201 Lbs196 CMNoNoNo2Pro & Farm800,000$369,892$0$0$No800,000$Lien / Lien NHL
Anders NilssonVagabond (PIR)G301990-03-18No232 Lbs198 CMNoNoNo2Pro & Farm650,000$300,537$0$0$No650,000$Lien / Lien NHL
Antoine RousselVagabond (PIR)LW301989-11-20No195 Lbs183 CMNoNoNo1Pro & Farm650,000$300,537$0$0$NoLien / Lien NHL
Blake ComeauVagabond (PIR)LW/RW341986-02-17No202 Lbs185 CMNoNoNo1Pro & Farm650,000$300,537$0$0$NoLien / Lien NHL
Brenden DillonVagabond (PIR)D291990-11-13No225 Lbs193 CMNoNoNo2Pro & Farm650,000$300,537$0$0$No650,000$Lien / Lien NHL
Chandler StephensonVagabond (PIR)C261994-04-22No203 Lbs183 CMNoNoNo1Pro & Farm650,000$300,537$0$0$NoLien / Lien NHL
Christian WolaninVagabond (PIR)D251995-03-17No185 Lbs188 CMNoNoNo2Pro & Farm960,000$443,870$0$0$No960,000$Lien / Lien NHL
Cody GlassVagabond (PIR)C/RW211999-03-31Yes178 Lbs188 CMNoNoNo2Pro & Farm1,713,333$792,186$0$0$No1,713,333$Lien / Lien NHL
Derek RyanVagabond (PIR)C/RW331986-12-29No170 Lbs180 CMNoNoNo1Pro & Farm650,000$300,537$0$0$NoLien / Lien NHL
Dillon DubeVagabond (PIR)C/LW221998-07-19No183 Lbs180 CMNoNoNo1Pro & Farm910,833$421,137$0$0$NoLien / Lien NHL
Drake BathersonVagabond (PIR)RW221998-04-26No187 Lbs185 CMNoNoNo1Pro & Farm773,333$357,562$0$0$NoLien / Lien NHL
Dylan DeMeloVagabond (PIR)D271993-05-01No195 Lbs188 CMNoNoNo2Pro & Farm900,000$416,129$0$0$No900,000$Lien / Lien NHL
Jack JohnsonVagabond (PIR)D331987-01-12No227 Lbs185 CMNoNoNo2Pro & Farm655,000$302,849$0$0$No655,000$Lien / Lien NHL
Kevin LabancVagabond (PIR)RW241995-12-12No185 Lbs180 CMNoNoNo1Pro & Farm925,000$427,688$0$0$NoLien / Lien NHL
Louie BelpedioVagabond (PIR)D241996-05-14No193 Lbs180 CMNoNoNo2Pro & Farm700,000$323,655$0$0$No700,000$Lien / Lien NHL
Lucas WallmarkVagabond (PIR)C251995-09-05No176 Lbs183 CMNoNoNo1Pro & Farm675,000$312,096$0$0$NoLien / Lien NHL
Mark FriedmanVagabond (PIR)D241995-12-25No185 Lbs180 CMNoNoNo1Pro & Farm825,000$381,451$0$0$NoLien / Lien NHL
Mark JankowskiVagabond (PIR)C261994-09-13No202 Lbs193 CMNoNoNo1Pro & Farm1,675,000$774,462$0$0$NoLien / Lien NHL
Mathieu JosephVagabond (PIR)RW231997-02-09No173 Lbs185 CMNoNoNo1Pro & Farm910,833$421,137$0$0$NoLien / Lien NHL
Mattias JanmarkVagabond (PIR)LW271992-12-08No196 Lbs185 CMNoNoNo2Pro & Farm650,000$300,537$0$0$No650,000$Lien / Lien NHL
Mike SmithVagabond (PIR)G381982-03-21No215 Lbs193 CMNoNoNo1Pro & Farm650,000$300,537$0$0$NoLien / Lien NHL
Mikhail VorobyevVagabond (PIR)C231997-01-04No194 Lbs188 CMNoNoNo1Pro & Farm925,000$427,688$0$0$NoLien / Lien NHL
Milan LucicVagabond (PIR)LW321988-06-06No236 Lbs191 CMNoNoNo2Pro & Farm650,000$300,537$0$0$No650,000$Lien / Lien NHL
Ryan DonatoVagabond (PIR)C241996-04-09No181 Lbs183 CMNoNoNo1Pro & Farm1,900,000$878,494$0$0$NoLien / Lien NHL
Ryan HartmanVagabond (PIR)LW/RW261994-09-20No181 Lbs183 CMNoNoNo1Pro & Farm875,000$404,569$0$0$NoLien / Lien NHL
Ryan MurrayVagabond (PIR)D261993-09-26No205 Lbs185 CMNoNoNo2Pro & Farm2,825,000$1,306,182$0$0$No2,825,000$Lien / Lien NHL
Taro HiroseVagabond (PIR)LW241996-06-30No161 Lbs178 CMNoNoNo1Pro & Farm1,350,000$624,193$0$0$NoLien / Lien NHL
Troy TerryVagabond (PIR)C/RW231997-09-10No174 Lbs185 CMNoNoNo2Pro & Farm1,491,667$689,695$0$0$No1,491,667$Lien / Lien NHL
Vladislav NamestnikovVagabond (PIR)C/LW/RW271992-11-22No180 Lbs180 CMNoNoNo2Pro & Farm650,000$300,537$0$0$No650,000$Lien / Lien NHL
Wayne SimmondsVagabond (PIR)LW/RW321988-08-25No185 Lbs188 CMNoNoNo2Pro & Farm850,000$393,010$0$0$No850,000$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3126.65193 Lbs185 CM1.48988,118$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ryan HartmanDerek RyanKevin Labanc40122
2Ryan DonatoCody GlassDrake Batherson30122
3Blake ComeauLucas WallmarkWayne Simmonds20122
4Mattias JanmarkChandler StephensonMathieu Joseph10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jack Johnson40122
2Brenden DillonRyan Murray30122
3Dylan DeMelo20122
4Brenden Dillon10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Blake ComeauDerek RyanKevin Labanc60122
2Ryan HartmanLucas WallmarkDrake Batherson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brenden Dillon60122
2Jack JohnsonDylan DeMelo40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Derek RyanBlake Comeau60122
2Lucas WallmarkRyan Hartman40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brenden Dillon60122
2Jack JohnsonDylan DeMelo40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Derek Ryan60122Brenden Dillon60122
2Lucas Wallmark40122Jack JohnsonDylan DeMelo40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Derek RyanBlake Comeau60122
2Lucas WallmarkRyan Hartman40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brenden Dillon60122
2Jack JohnsonDylan DeMelo40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Blake ComeauDerek RyanKevin LabancBrenden Dillon
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Blake ComeauDerek RyanMathieu JosephBrenden Dillon
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Drake Batherson, Kevin Labanc, Mattias JanmarkDrake Batherson, Kevin LabancDrake Batherson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dylan DeMelo, , Ryan MurrayDylan DeMeloDylan DeMelo,
Tirs de Pénalité
Blake Comeau, Ryan Hartman, Wayne Simmonds, Derek Ryan, Drake Batherson
Gardien
#1 : Mike Smith, #2 : Anders Nilsson


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
1Barracuda32000001251411210000011511411000000103750.833254469009668909117566474531338552167318844.44%8362.50%048388554.58%44882754.17%38368855.67%1166770925361705365
2Benchwarmers3110100011832100100010551010000013-240.66711213200966890991566474531338330224813323.08%11463.64%048388554.58%44882754.17%38368855.67%1166770925361705365
3Caribou33000000199101100000041322000000158761.000192948009668909112566474531338321165820525.00%8187.50%248388554.58%44882754.17%38368855.67%1166770925361705365
4Casse-Tete3020001058-31010000014-32010001044020.33358130096689091055664745313310030417010220.00%14471.43%048388554.58%44882754.17%38368855.67%1166770925361705365
5Chevalier43000100181172200000010552100010086270.8751831490096689091445664745313312769386715640.00%19384.21%148388554.58%44882754.17%38368855.67%1166770925361705365
6Diabotins33000000428342200000027621110000001521361.0004267109009668909123566474531338425226313646.15%110100.00%048388554.58%44882754.17%38368855.67%1166770925361705365
7Hooligans330000002381511000000123922000000115661.00023386100966890997566474531338424147018738.89%8275.00%248388554.58%44882754.17%38368855.67%1166770925361705365
8Hybrides4110101014104201010006602100001084460.7501419330096689091325664745313311651307123417.39%15566.67%248388554.58%44882754.17%38368855.67%1166770925361705365
9Jardiniers320001001293210001006511100000064250.83312183001966890997566474531338939345410330.00%17382.35%148388554.58%44882754.17%38368855.67%1166770925361705365
10Leftovers330000002772022000000214171100000063361.000273966009668909955664745313310024247510440.00%12191.67%048388554.58%44882754.17%38368855.67%1166770925361705365
11Pirates420020002271521001000163132100100064281.00022386000966890913456647453133110282088800.00%10280.00%048388554.58%44882754.17%38368855.67%1166770925361705365
12Requins30100101813-52000010168-21010000025-320.3338111900966890911156647453133842916661000.00%8275.00%048388554.58%44882754.17%38368855.67%1166770925361705365
13Royaux42100100221572110000099021000100136750.6252234560096689091335664745313312948348016637.50%17476.47%148388554.58%44882754.17%38368855.67%1166770925361705365
Total46258045222601441162513403302153827121124012201076245690.75026041867801966890915875664745313313685143519371995628.14%1703877.65%1048388554.58%44882754.17%38368855.67%1166770925361705365
14Werewolves302001001217-5201001001012-21010000025-310.16712213300966890996566474531339444245415213.33%12466.67%148388554.58%44882754.17%38368855.67%1166770925361705365
_Since Last GM Reset46258045222601441162513403302153827121124012201076245690.75026041867801966890915875664745313313685143519371995628.14%1703877.65%1048388554.58%44882754.17%38368855.67%1166770925361705365
_Vs Conference2214203201145608513800220198346496201000472621370.84114523237701966890974856647453133634199152464822328.05%771481.82%348388554.58%44882754.17%38368855.67%1166770925361705365
_Vs Division1060000007436386300000045242143000000291217120.600741171910096689093455664745313331412474228441840.91%37878.38%148388554.58%44882754.17%38368855.67%1166770925361705365

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4669W32604186781587136851435193701
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
462584522260144
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
25134330215382
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
21124122010762
Derniers 10 Matchs
WLOTWOTL SOWSOL
720100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1995628.14%1703877.65%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
566474531339668909
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
48388554.58%44882754.17%38368855.67%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1166770925361705365


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 - 2020-10-123Vagabond10Royaux2WSommaire du Match
3 - 2020-10-1411Hybrides2Vagabond3WXSommaire du Match
4 - 2020-10-1514Vagabond5Chevalier2WSommaire du Match
7 - 2020-10-1824Vagabond4Pirates3WXSommaire du Match
8 - 2020-10-1926Benchwarmers3Vagabond4WXSommaire du Match
12 - 2020-10-2344Leftovers3Vagabond10WSommaire du Match
13 - 2020-10-2446Vagabond2Casse-Tete3LSommaire du Match
17 - 2020-10-2858Diabotins3Vagabond13WSommaire du Match
18 - 2020-10-2960Vagabond6Hooligans1WSommaire du Match
22 - 2020-11-0274Werewolves6Vagabond5LXSommaire du Match
23 - 2020-11-0376Barracuda6Vagabond5LXXSommaire du Match
25 - 2020-11-0582Requins4Vagabond3LXXSommaire du Match
27 - 2020-11-0791Jardiniers5Vagabond4LXSommaire du Match
29 - 2020-11-0995Vagabond8Caribou3WSommaire du Match
32 - 2020-11-12108Royaux4Vagabond6WSommaire du Match
34 - 2020-11-14116Vagabond4Hybrides1WSommaire du Match
35 - 2020-11-15119Chevalier4Vagabond6WSommaire du Match
38 - 2020-11-18129Pirates2Vagabond3WXSommaire du Match
39 - 2020-11-19131Vagabond1Benchwarmers3LSommaire du Match
43 - 2020-11-23149Vagabond6Leftovers3WSommaire du Match
44 - 2020-11-24151Casse-Tete4Vagabond1LSommaire du Match
48 - 2020-11-28163Vagabond15Diabotins2WSommaire du Match
49 - 2020-11-29165Hooligans3Vagabond12WSommaire du Match
53 - 2020-12-03179Vagabond2Werewolves5LSommaire du Match
54 - 2020-12-04181Vagabond10Barracuda3WSommaire du Match
56 - 2020-12-06187Vagabond2Requins5LSommaire du Match
58 - 2020-12-08196Vagabond6Jardiniers4WSommaire du Match
60 - 2020-12-10200Caribou1Vagabond4WSommaire du Match
63 - 2020-12-13213Vagabond3Royaux4LXSommaire du Match
65 - 2020-12-15221Hybrides4Vagabond3LSommaire du Match
66 - 2020-12-16224Vagabond3Chevalier4LXSommaire du Match
69 - 2020-12-19234Vagabond2Pirates1WSommaire du Match
70 - 2020-12-20236Benchwarmers2Vagabond6WSommaire du Match
74 - 2020-12-24254Leftovers1Vagabond11WSommaire du Match
75 - 2020-12-25256Vagabond2Casse-Tete1WXXSommaire du Match
79 - 2020-12-29268Diabotins3Vagabond14WSommaire du Match
80 - 2020-12-30270Vagabond5Hooligans4WSommaire du Match
84 - 2021-01-03284Werewolves6Vagabond5LSommaire du Match
85 - 2021-01-04286Barracuda5Vagabond10WSommaire du Match
87 - 2021-01-06292Requins4Vagabond3LXSommaire du Match
89 - 2021-01-08301Jardiniers0Vagabond2WSommaire du Match
91 - 2021-01-10305Vagabond7Caribou5WSommaire du Match
94 - 2021-01-13318Royaux5Vagabond3LSommaire du Match
96 - 2021-01-15326Vagabond4Hybrides3WXXSommaire du Match
97 - 2021-01-16329Chevalier1Vagabond4WSommaire du Match
100 - 2021-01-19339Pirates1Vagabond13WSommaire du Match
101 - 2021-01-20341Vagabond-Benchwarmers-
105 - 2021-01-24359Vagabond-Leftovers-
106 - 2021-01-25361Casse-Tete-Vagabond-
110 - 2021-01-29373Vagabond-Diabotins-
111 - 2021-01-30375Hooligans-Vagabond-
115 - 2021-02-03389Vagabond-Werewolves-
116 - 2021-02-04391Vagabond-Barracuda-
118 - 2021-02-06397Vagabond-Requins-
120 - 2021-02-08406Vagabond-Jardiniers-
122 - 2021-02-10410Caribou-Vagabond-
125 - 2021-02-13423Vagabond-Royaux-
127 - 2021-02-15431Hybrides-Vagabond-
128 - 2021-02-16434Vagabond-Chevalier-
131 - 2021-02-19444Vagabond-Pirates-
132 - 2021-02-20446Benchwarmers-Vagabond-
136 - 2021-02-24464Leftovers-Vagabond-
137 - 2021-02-25466Vagabond-Casse-Tete-
141 - 2021-03-01478Diabotins-Vagabond-
142 - 2021-03-02480Vagabond-Hooligans-
146 - 2021-03-06494Werewolves-Vagabond-
147 - 2021-03-07496Barracuda-Vagabond-
149 - 2021-03-09502Requins-Vagabond-
151 - 2021-03-11511Jardiniers-Vagabond-
153 - 2021-03-13515Vagabond-Caribou-
156 - 2021-03-16528Royaux-Vagabond-
158 - 2021-03-18536Vagabond-Hybrides-
159 - 2021-03-19539Chevalier-Vagabond-
162 - 2021-03-22549Pirates-Vagabond-
163 - 2021-03-23551Vagabond-Benchwarmers-
167 - 2021-03-27569Vagabond-Leftovers-
168 - 2021-03-28571Casse-Tete-Vagabond-
172 - 2021-04-01583Vagabond-Diabotins-
173 - 2021-04-02585Hooligans-Vagabond-
177 - 2021-04-06599Vagabond-Werewolves-
178 - 2021-04-07601Vagabond-Barracuda-
180 - 2021-04-09607Vagabond-Requins-
182 - 2021-04-11616Vagabond-Jardiniers-
184 - 2021-04-13620Caribou-Vagabond-



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
1,746,292$ 3,648,166$ 3,406,167$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
19,614$ 1,746,292$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 86 19,614$ 1,686,804$




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
201684195301326255252342132101124116102144263200202139150-1153255414669430798885246007777978803014111283716192494819.28%3117476.21%9497162630.57%512204725.01%294104028.27%1673110523006461113502
20178438310453333031317422312012221631333042151903311167180-13983305388682201181109527690922936895246191241915103078126.38%2094677.99%18814178345.65%606148340.86%566121646.55%1942131219356381205591
201882185103325305322-1741102301214164150144182802111141172-315430552382824077119104235207737537903198112946514932886121.18%2265476.11%8758151550.03%855185246.17%631123251.22%1651101520696741248606
20198449210256130121685422870024116797704221140232013411915120301543844030111988429310103510218482676101276417143528022.73%3627379.83%111116197356.56%958188450.85%587107954.40%2048136218106661229621
2020462580452226014411625134033021538271211240122010762456926041867801966890915875664745313313685143519371995628.14%1703877.65%1048388554.58%44882754.17%38368855.67%1166770925361705365
Total Saison Régulière380149164014211517145112472041928767061091376356419918862970811646886835394145124363887813964535053771209956639814038344612717467928367273139532623.37%127828577.70%563668778247.13%3379809341.75%2461525546.83%848355669041298755022688
Séries
201640400000510-52020000025-32020000035-2058130000149402047231505715702129.52%50100.00%06876.90%189119.78%64613.04%6639129335123
2019105500000323115320000016142523000001617-11032578900013108368012411412335311790182411126.83%451371.11%111324146.89%11023347.21%6713151.15%2481732247613969
Total Séries1459000003741-4734000001819-1725000001922-31037651020001311124620144161146503174105252621320.97%501374.00%111932836.28%12832439.51%7317741.24%31521335410919192