hellpepitosKingspatriots

 

 


Hybrides

GP: 5 | W: 3 | L: 2 | OTL: 0 | P: 6
GF: 44 | GA: 15 | PP%: 20.00% | PK%: 66.67%
DG: Martin Gagnon | Morale : 50 | Moyenne d'Équipe : 66
Prochain matchs #38 vs Requins
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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
1Ryan Donato0X100.00442277295664867648818354743238050710
2Matt Calvert0X100.00753954395966647146798172746671050710
3Lucas Wallmark0X100.00651159384568886986808166655435050700
4Dominik Simon0XXX100.00771064365460747238818159655434050690
5Tyson Jost0XXX100.00532467345161747254798254713845050690
6Conor Garland (R)0X100.00553065293458857760768455734245050690
7Ty Rattie0X100.00722476375254787137788154715749050680
8Sven Andrighetto0XXX100.00512465365254697135788151765845050670
9Kiefer Sherwood0X100.00802669425852856746768050663541050660
10Brendan Gaunce0X100.00573073598057706038697771655359050650
11Juho Lammikko (R)0X100.00772369535850806175777865664642050650
12Saku Maenalanen (R)0X100.00811546437644846636768035664735050650
13Ross Johnston0X100.00844731549437846232748050664164050650
14Victor Olofsson (R)0X100.00291780524683835831667571684536050640
15Taro Hirose (R)0X100.00282280552971825935687769683038050640
16Max Veronneau (R)0X100.00222083595457825931677665672937050620
17Adam Pelech0X100.00783066468168738228837670635155050720
18Sean Walker0X100.00652470455756788330827645663548050690
19Riley Stillman0X100.00374081596381846731676864683560050680
20Casey Nelson0X100.00622168475660708030817555663938050680
21Caleb Jones (R)0X100.00472775535871817231747364674043050680
22Matt Benning0X100.00813059486858727728767259634248050670
23Ethan Bear0X100.00392576505667816830727056674246050660
Rayé
1Antti Suomela (R)0X100.00401674454851816263747852674537050640
2Nathan Bastian (R)0X100.00533276587358735833657570683850050630
3Karson Kuhlman0X100.00431879494855816135697852673646050630
4Taylor Leier0X100.00362975614848795936677663665058050620
5Maxim Mamin0XX100.00753074597142815931677554674446050610
6Ryan Kuffner (R)0X100.00342283645950825731657162682837050600
7Dominic Turgeon0X100.00353081686651825632657070684759050600
8Henrik Haapala0X100.00311585633364835631647269684736050590
9Cooper Marody (R)0X100.00222282654830835632657164683237050560
10Shane Gersich0X100.00312183704134835631647165683537050560
11Brandon Gignac0X100.00272483683640845631647070683843050550
12Zach Whitecloud0X100.00262183597160846731796857683037050650
13Josh Mahura (R)0X100.00402475485353817331747348673643050650
14Josh Jacobs (R)0X100.00362484606555846731726861683844050640
MOYENNE D'ÉQUIPE100.0051257251575680663873766068424505065
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
1Laurent Brossoit100.0086918686889191909075656973050830
2Joonas Korpisalo100.0092948582889388909066784257050810
Rayé
MOYENNE D'ÉQUIPE100.008993868488929090907172566505082
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'ÉquipePOS GP 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
1Conor GarlandHybrides (LYC)RW597161600761471164.29%19118.361123110001101054.17%2430013.4900000200
2Lucas WallmarkHybrides (LYC)C58715102076122866.67%48416.86112111000032073.02%6353013.5600000110
3Matt CalvertHybrides (LYC)LW55101513208102091025.00%19719.530006120000130033.33%341013.0700000010
4Ryan DonatoHybrides (LYC)C541014130051126733.33%211122.200115130000250050.00%13015012.5200000001
5Dominik SimonHybrides (LYC)C/LW/RW528108175831431014.29%18817.771014130000600100.00%221002.2500000000
6Tyson JostHybrides (LYC)C/LW/RW5279102054115818.18%27915.95000310000000033.33%310002.2600000001
7Adam PelechHybrides (LYC)D535816401218184616.67%1913927.90011416000013010.00%024001.1500000010
8Caleb JonesHybrides (LYC)D5156160011052220.00%1011222.4801117000017000.00%003001.0700000000
9Juho LammikkoHybrides (LYC)C5055500856460.00%0408.0900000000000060.87%2311002.4700000000
10Sven AndrighettoHybrides (LYC)C/LW/RW53254201691733.33%15811.6900000000000043.75%3220001.7100000000
11Ross JohnstonHybrides (LYC)LW523546013282425.00%15811.7200000000000025.00%440001.7100000000
12Kiefer SherwoodHybrides (LYC)RW540452071154426.67%0408.09000000000000100.00%110011.9800000000
13Victor OlofssonHybrides (LYC)LW5033600024010.00%0418.2700000000000050.00%200001.4500000000
14Ty RattieHybrides (LYC)RW51234006352920.00%05811.61000000000000100.00%232001.0300000000
15Ethan BearHybrides (LYC)D5022600030110.00%0357.180000000002000.00%002001.1100000000
16Sean WalkerHybrides (LYC)D50221180944020.00%111523.13000017000014000.00%021000.3500000000
17Riley StillmanHybrides (LYC)D50111600167040.00%811322.6000028000017000.00%002000.1800000000
18Casey NelsonHybrides (LYC)D5011-100211220.00%1367.220000000000000.00%031000.5500000000
19Brendan GaunceHybrides (LYC)C5000000000000.00%020.490000100000000.00%000000.0000000000
20Taro HiroseHybrides (LYC)LW5000100010000.00%071.500000000005000.00%002000.0000000000
21Saku MaenalanenHybrides (LYC)RW5000000000000.00%000.130000000000000.00%000000.0000000000
22Matt BenningHybrides (LYC)D5000280542210.00%35210.520000000001000.00%011000.0000000000
Stats d'équipe Total ou en Moyenne1104480124165535105961675610326.35%55146613.333582912500011323155.71%2893529051.6900000332
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
1Laurent BrossoitHybrides (LYC)53200.9033.00300201515581000.000050000
Stats d'équipe Total ou en Moyenne53200.9033.00300201515581000.000050000


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam PelechHybrides (LYC)D251994-08-16No218 Lbs191 CMNoNoNo3Avec RestrictionPro & Farm1,600,000$0$0$NoLien / Lien NHL
Antti SuomelaHybrides (LYC)C251994-03-17Yes180 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm1,350,000$0$0$NoLien
Brandon GignacHybrides (LYC)LW211997-11-07No170 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm921,666$0$0$NoLien
Brendan GaunceHybrides (LYC)C251994-03-25No217 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien / Lien NHL
Caleb JonesHybrides (LYC)D221997-06-06Yes194 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm815,000$0$0$NoLien
Casey NelsonHybrides (LYC)D271992-07-18No185 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Conor GarlandHybrides (LYC)RW231996-03-11Yes165 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm822,223$0$0$NoLien
Cooper MarodyHybrides (LYC)LW221996-12-20Yes184 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm1,000,000$0$0$NoLien
Dominic TurgeonHybrides (LYC)C231996-02-25No200 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm919,167$0$0$NoLien
Dominik SimonHybrides (LYC)C/LW/RW251994-08-08No190 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm692,500$0$0$NoLien / Lien NHL
Ethan BearHybrides (LYC)D221997-06-26No197 Lbs180 CMNoNoNo1Contrat d'EntréePro & Farm773,333$0$0$NoLien
Henrik HaapalaHybrides (LYC)LW251994-02-28No165 Lbs175 CMNoNoNo1Avec RestrictionPro & Farm1,350,000$0$0$NoLien
Joonas KorpisaloHybrides (LYC)G251994-04-28No182 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm900,000$0$0$NoLien / Lien NHL
Josh JacobsHybrides (LYC)D231996-02-15Yes200 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Josh MahuraHybrides (LYC)D211998-05-05Yes192 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm910,833$0$0$NoLien
Juho LammikkoHybrides (LYC)C231996-01-29Yes191 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Karson KuhlmanHybrides (LYC)RW231995-09-26No185 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm762,500$0$0$NoLien
Kiefer SherwoodHybrides (LYC)RW241995-03-31No194 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Laurent BrossoitHybrides (LYC)G261993-03-23No204 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Lucas WallmarkHybrides (LYC)C241995-09-05No178 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm675,000$0$0$NoLien
Matt BenningHybrides (LYC)D251994-05-25No203 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm1,900,000$0$0$NoLien / Lien NHL
Matt CalvertHybrides (LYC)LW291989-12-24No186 Lbs180 CMNoNoNo1Sans RestrictionPro & Farm2,200,000$0$0$NoLien / Lien NHL
Max VeronneauHybrides (LYC)RW231995-12-12Yes190 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm1,350,000$0$0$NoLien
Maxim MaminHybrides (LYC)C/LW241995-01-13No206 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Nathan BastianHybrides (LYC)RW211997-12-06Yes205 Lbs193 CMNoNoNo2Contrat d'EntréePro & Farm905,000$0$0$NoLien
Riley StillmanHybrides (LYC)D211998-03-09No196 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm900,000$0$0$NoLien
Ross JohnstonHybrides (LYC)LW251994-02-18No235 Lbs196 CMNoNoNo1Avec RestrictionPro & Farm666,667$0$0$NoLien
Ryan DonatoHybrides (LYC)C231996-04-09No193 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm1,350,000$0$0$NoLien
Ryan KuffnerHybrides (LYC)LW231996-06-12Yes195 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm1,350,000$0$0$NoLien
Saku MaenalanenHybrides (LYC)RW251994-05-29Yes207 Lbs193 CMNoNoNo2Avec RestrictionPro & Farm1,275,000$0$0$NoLien
Sean WalkerHybrides (LYC)D241994-11-13No196 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm745,000$0$0$NoLien
Shane GersichHybrides (LYC)LW231996-07-10No175 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Sven AndrighettoHybrides (LYC)C/LW/RW261993-03-21No188 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm1,400,000$0$0$NoLien / Lien NHL
Taro HiroseHybrides (LYC)LW231996-06-30Yes160 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm1,350,000$0$0$NoLien
Taylor LeierHybrides (LYC)LW251994-02-15No180 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm806,588$0$0$NoLien
Ty RattieHybrides (LYC)RW261993-02-05No183 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm800,000$0$0$NoLien / Lien NHL
Tyson JostHybrides (LYC)C/LW/RW211998-03-14No191 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm1,673,333$0$0$NoLien / Lien NHL
Victor OlofssonHybrides (LYC)LW241995-07-18Yes181 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Zach WhitecloudHybrides (LYC)D221996-11-28No209 Lbs188 CMNoNoNo1Contrat d'EntréePro & Farm1,491,666$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3923.77192 Lbs185 CM1.671,057,833$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt CalvertRyan DonatoDominik Simon40122
2Tyson JostLucas WallmarkConor Garland30122
3Ross JohnstonSven AndrighettoTy Rattie20122
4Victor OlofssonJuho LammikkoKiefer Sherwood10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam PelechSean Walker40122
2Caleb JonesRiley Stillman30122
3Casey NelsonMatt Benning20122
4Ethan BearAdam Pelech10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt CalvertRyan DonatoDominik Simon60122
2Tyson JostLucas WallmarkConor Garland40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam PelechSean Walker60122
2Caleb JonesRiley Stillman40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ryan DonatoMatt Calvert60122
2Lucas WallmarkDominik Simon40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam PelechSean Walker60122
2Caleb JonesRiley Stillman40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ryan Donato60122Adam PelechSean Walker60122
2Matt Calvert40122Caleb JonesRiley Stillman40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan DonatoMatt Calvert60122
2Lucas WallmarkDominik Simon40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Adam PelechSean Walker60122
2Caleb JonesRiley Stillman40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt CalvertRyan DonatoDominik SimonAdam PelechSean Walker
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt CalvertRyan DonatoDominik SimonAdam PelechSean Walker
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brendan Gaunce, Saku Maenalanen, Taro HiroseBrendan Gaunce, Saku MaenalanenTaro Hirose
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Casey Nelson, Matt Benning, Ethan BearCasey NelsonMatt Benning, Ethan Bear
Tirs de Pénalité
Ryan Donato, Matt Calvert, Lucas Wallmark, Dominik Simon, Tyson Jost
Gardien
#1 : Laurent Brossoit, #2 : Joonas Korpisalo


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
1Casse-Tete11000000633110000006330000000000021.00061117001711160404746740371310174125.00%5180.00%0549656.25%5710454.81%508956.18%11172110397738
2Pirates110000003313200000000000110000003313221.0003359920017111603347467402714823000.00%4175.00%0549656.25%5710454.81%508956.18%11172110397738
Total53200000441529321000001091211000003462860.60044801240017111601674746740155555510515320.00%21766.67%0549656.25%5710454.81%508956.18%11172110397738
4Werewolves31200000511-62110000046-21010000015-420.333510150017111609447467409128376511218.18%12558.33%0549656.25%5710454.81%508956.18%11172110397738
_Since Last GM Reset53200000441529321000001091211000003462860.60044801240017111601674746740155555510515320.00%21766.67%0549656.25%5710454.81%508956.18%11172110397738
_Vs Conference422000001114-33210000010911010000015-440.500112132001711160134474674012841478215320.00%17664.71%0549656.25%5710454.81%508956.18%11172110397738

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
56W14480124167155555510500
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
53200004415
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3210000109
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2110000346
Derniers 10 Matchs
WLOTWOTL SOWSOL
320000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
15320.00%21766.67%0
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
47467401711160
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
549656.25%5710454.81%508956.18%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11172110397738


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 - 2019-10-072Hybrides33Pirates1WSommaire du Match
3 - 2019-10-0911Werewolves4Hybrides1LSommaire du Match
5 - 2019-10-1118Werewolves2Hybrides3WSommaire du Match
6 - 2019-10-1223Hybrides1Werewolves5LSommaire du Match
8 - 2019-10-1432Casse-Tete3Hybrides6WSommaire du Match
10 - 2019-10-1638Hybrides-Requins-
12 - 2019-10-1847Hooligans-Hybrides-
15 - 2019-10-2158Hybrides-Barracuda-
17 - 2019-10-2365Requins-Hybrides-
18 - 2019-10-2471Hybrides-Pirates-
21 - 2019-10-2782Barracuda-Hybrides-
23 - 2019-10-2991Caribou-Hybrides-
24 - 2019-10-3095Hybrides-Requins-
25 - 2019-10-31100Hybrides-Benchwarmers-
27 - 2019-11-02105Hybrides-Caribou-
29 - 2019-11-04111Hybrides-Casse-Tete-
31 - 2019-11-06119Casse-Tete-Hybrides-
32 - 2019-11-07128Barracuda-Hybrides-
34 - 2019-11-09138Jardiniers-Hybrides-
36 - 2019-11-11143Hybrides-Leftovers-
38 - 2019-11-13153Werewolves-Hybrides-
41 - 2019-11-16163Hybrides-Werewolves-
42 - 2019-11-17169Hybrides-Requins-
43 - 2019-11-18175Caribou-Hybrides-
45 - 2019-11-20184Requins-Hybrides-
48 - 2019-11-23192Hybrides-Vagabond-
49 - 2019-11-24198Hybrides-Requins-
51 - 2019-11-26205Royaux-Hybrides-
53 - 2019-11-28213Hybrides-Diabotins-
55 - 2019-11-30219Chevalier-Hybrides-
56 - 2019-12-01225Hybrides-Caribou-
58 - 2019-12-03232Chevalier-Hybrides-
60 - 2019-12-05240Hybrides-Caribou-
61 - 2019-12-06246Hybrides-Hooligans-
63 - 2019-12-08253Hooligans-Hybrides-
65 - 2019-12-10263Diabotins-Hybrides-
66 - 2019-12-11270Hybrides-Benchwarmers-
68 - 2019-12-13276Requins-Hybrides-
70 - 2019-12-15286Hybrides-Pirates-
71 - 2019-12-16291Hybrides-Leftovers-
73 - 2019-12-18298Hooligans-Hybrides-
76 - 2019-12-21306Hybrides-Pirates-
77 - 2019-12-22312Pirates-Hybrides-
80 - 2019-12-25323Hybrides-Barracuda-
81 - 2019-12-26328Pirates-Hybrides-
84 - 2019-12-29335Hybrides-Pirates-
85 - 2019-12-30343Benchwarmers-Hybrides-
88 - 2020-01-02351Hybrides-Vagabond-
89 - 2020-01-03358Benchwarmers-Hybrides-
90 - 2020-01-04362Hybrides-Royaux-
92 - 2020-01-06374Pirates-Hybrides-
93 - 2020-01-07376Hybrides-Royaux-
96 - 2020-01-10383Hybrides-Werewolves-
97 - 2020-01-11389Vagabond-Hybrides-
100 - 2020-01-14400Hybrides-Benchwarmers-
102 - 2020-01-16405Caribou-Hybrides-
103 - 2020-01-17413Hybrides-Casse-Tete-
105 - 2020-01-19420Werewolves-Hybrides-
107 - 2020-01-21431Jardiniers-Hybrides-
109 - 2020-01-23438Hybrides-Royaux-
112 - 2020-01-26446Hooligans-Hybrides-
114 - 2020-01-28455Hybrides-Caribou-
116 - 2020-01-30462Hybrides-Hooligans-
117 - 2020-01-31466Benchwarmers-Hybrides-
118 - 2020-02-01474Diabotins-Hybrides-
121 - 2020-02-04484Hybrides-Barracuda-
122 - 2020-02-05491Royaux-Hybrides-
124 - 2020-02-07497Hybrides-Chevalier-
128 - 2020-02-11507Casse-Tete-Hybrides-
131 - 2020-02-14519Vagabond-Hybrides-
134 - 2020-02-17530Vagabond-Hybrides-
137 - 2020-02-20541Hybrides-Chevalier-
138 - 2020-02-21544Hybrides-Werewolves-
140 - 2020-02-23552Chevalier-Hybrides-
142 - 2020-02-25561Barracuda-Hybrides-
145 - 2020-02-28573Leftovers-Hybrides-
148 - 2020-03-02586Leftovers-Hybrides-
152 - 2020-03-06599Hybrides-Casse-Tete-
153 - 2020-03-07602Requins-Hybrides-
155 - 2020-03-09610Hybrides-Casse-Tete-
157 - 2020-03-11615Hybrides-Jardiniers-
159 - 2020-03-13618Casse-Tete-Hybrides-
160 - 2020-03-14622Hybrides-Diabotins-
162 - 2020-03-16629Hybrides-Jardiniers-



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
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
202,480$ 4,125,548$ 2,525,507$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
25,310$ 202,480$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 155 25,310$ 3,923,050$




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
20168445220321024351552804222110215124573172422311011511908210890435756119115142141139192544836818845107242982487215572917124.40%3124884.62%18953161059.19%964169256.97%675117457.50%1984127718146811309672
201784442305381327176151422760207017571104421717033111521054788327574901051161049414256785783882872231381860917212866121.33%3035083.50%11867172150.38%784163447.98%565108652.03%1987128118056861308667
20188233310564337524812741238024312041021024110230321217114625663756491024001461259512274091894085154270694274415592854315.09%3537778.19%12957179153.43%889180949.14%641118853.96%1948123617296631302681
2019532000004415293210000010912110000034628644801240017111601674746740155555510515320.00%21766.67%0549656.25%5710454.81%508956.18%11172110397738
Total Saison Régulière255125780131122611815945871287426065152634255379127515207674547339208250118120593240110421381344458018265826422598233760326392280494287717820.30%98918281.60%412831521854.25%2694523951.42%1931353754.59%603238675460207039982060
Séries
201612750000028280752000002016452300000812-414284775007108336011810111724377130100216371027.03%45686.67%015827357.88%13326250.76%9214165.25%28417828397191103
20179540000022193523000001111043100000118310223961015971271957094122579089197421126.19%37683.78%19219347.67%10818060.00%5010846.30%2091292057514272
2018624000001621-53120000079-231200000912-341627430066401946467630231715310124625.00%24579.17%05512444.35%7415547.74%337643.42%12474139539647
Total Séries271413000006668-2158700000383621266000002832-42866113179011825194825277238274368652912425141032726.21%1061783.96%130559051.69%31559752.76%17532553.85%618381628226430224