beholdershellpepitosKingspatriots

 

 


Hybrides

GP: 37 | W: 20 | L: 13 | OTL: 4 | P: 44
GF: 173 | GA: 107 | PP%: 15.22% | PK%: 78.52%
DG: Martin Gagnon | Morale : 50 | Moyenne d'Équipe : 74
Prochain matchs #370 vs Leftovers
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Matt Calvert0X100.00634762425163597045828168715756050790
2Brendan Gaunce0X100.00803966537653676364788169624848050770
3Ty Rattie0X100.00553474423867866530758071635347050770
4Denis Malgin0X100.00552472353060737162808269684236050770
5Ross Johnston0X100.00865830579442766134747672644146050750
6Maxim Mamin (R)0XX100.00854164535548786131738066644438050730
7Taylor Leier0X100.00393673503447816235798053624641050710
8Lucas Wallmark0X100.00812370593244745966717862654739050700
9Henrik Haapala (R)0X100.00522889572763775731697063644843050700
10Sammy Blais (R)0X100.00753362606549635930717461653731050700
11Dominic Turgeon0X100.00453368696041775737687162654441050680
12Shane Gersich0X100.00413092703133795731697153654144050640
13Martin Necas (R)0X100.00263194682929805631676953653435050620
14Mark Pysyk0X100.00543875486367808231827277545449050840
15Gustav Forsling0X100.00422679443864818431827369634437050810
16Casey Nelson0X100.00522873464665848230807268634134050800
17Ethan Bear (R)0X100.00473365475967777430746862644138050770
18Anton Lindholm0X100.00853266554348767829786974634336050760
19Rasmus Andersson0X100.00394062527056767030726661654337050730
20Michael Kapla0X100.00473284565563796931726558653631050730
21Duncan Siemens0X100.00815146597941737430736940644850050710
Rayé
1Anton Blidh0X100.00883461615640765930707649644536050680
2Joseph LaBate0X100.00855732678629785632677155643937050670
3Giovanni Fiore0X100.00263384674934785631677051653934050630
4Zach Whitecloud0X100.00263086596760806931726556652827050720
5Nelson Nogier0X100.00604060615343786931726651643934050690
MOYENNE D'ÉQUIPE100.0058366955535176663674736164433905073
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 Brossoit100.0083926880848688868983725674050860
2Joonas Korpisalo100.0085877387878889879057834155050850
Rayé
1Spencer Martin100.0080886781808183848468713352050800
MOYENNE D'ÉQUIPE100.008389698384858786886975436005084
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
1Matt CalvertHybrides (LYC)LW37233861363157753120317019.17%1589624.231671812211231290147.62%2103011021.3612001614
2Brendan GaunceHybrides (LYC)C37232548312406852126317818.25%1659616.111128350003265054.95%4044110021.6100000131
3Denis MalginHybrides (LYC)C372224462640225398286622.45%1257615.58437211031013253056.13%4652010021.6000000212
4Ty RattieHybrides (LYC)RW371525403060435895336415.79%1173719.93268161201016501148.15%542814111.0800000140
5Ross JohnstonHybrides (LYC)LW371222342369510547109407411.01%959716.160221675000000046.67%303017021.1400010022
6Maxim MaminHybrides (LYC)C/LW3711193021180833293365711.83%1454014.61000030112300039.06%64314011.1100000014
7Casey NelsonHybrides (LYC)D37519243214029515228189.62%3569418.781231093044184100.00%0120010.6900000002
8Taylor LeierHybrides (LYC)LW379152414120111590244410.00%449213.32112530000003056.00%25244010.9700000001
9Mark PysykHybrides (LYC)D37518231916031756534427.69%7691724.80224241381124144000.00%0926000.5000000100
10Gustav ForslingHybrides (LYC)D3751520284014666122328.20%4683822.65145181270008128100.00%01918000.4800000001
11Lucas WallmarkHybrides (LYC)C371071711160682948194320.83%1239510.69000040001250056.54%237202020.8600000000
12Anton LindholmHybrides (LYC)D37012122314020302314120.00%193218.690000000000000.00%037000.7500000000
13Adam PelechLycansD14347-31202326388137.89%2333323.831121150101244110.00%0414000.4200000010
14Ethan BearHybrides (LYC)D3715626120132423654.35%2759416.07000263011058000.00%0313000.2000000000
15Henrik HaapalaHybrides (LYC)LW371235007672814.29%01494.05011154000250053.85%1301000.4000000000
16Duncan SiemensHybrides (LYC)D340222601815100.00%11484.370000000009000.00%012000.2700000000
17Dominic TurgeonHybrides (LYC)C22022300334220.00%1572.60000020223400038.46%2611000.7000000000
18Rasmus AnderssonHybrides (LYC)D3501172203137100.00%152436.960000200002000.00%006000.0800000000
19Michael KaplaHybrides (LYC)D230111900081200.00%102209.580000000007000.00%003000.0900000000
20Sammy BlaisHybrides (LYC)LW35011-44015612850.00%21474.2000052200010000.00%351000.1400000000
21Zach WhitecloudHybrides (LYC)D12000000000000.00%110.080000000000000.00%000000.0000000000
22Shane GersichHybrides (LYC)LW23000000031100.00%1130.57000000001110057.14%700000.0000000000
Stats d'équipe Total ou en Moyenne71614525740234928410653651107837163313.45%350951413.291429431551050510154082715353.12%15382701841140.8512011111317
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)37201340.9102.842238001061172631200.5006370501
Stats d'équipe Total ou en Moyenne37201340.9102.842238001061172631200.5006370501


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
Anton BlidhHybrides (LYC)LW231995-03-14No201 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Anton LindholmHybrides (LYC)D231994-11-29No191 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Brendan GaunceHybrides (LYC)C241994-03-25No217 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien / Lien NHL
Casey NelsonHybrides (LYC)D261992-07-18No185 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Denis MalginHybrides (LYC)C211997-01-18No177 Lbs175 CMNoNoNo1Contrat d'EntréePro & Farm693,333$0$0$NoLien / Lien NHL
Dominic TurgeonHybrides (LYC)C221996-02-25No200 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm919,167$0$0$NoLien
Duncan SiemensHybrides (LYC)D251993-09-07No210 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm874,000$0$0$NoLien
Ethan BearHybrides (LYC)D211997-06-26Yes209 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm773,333$0$0$NoLien
Giovanni FioreHybrides (LYC)LW221996-08-13No193 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm701,667$0$0$NoLien
Gustav ForslingHybrides (LYC)D221996-06-12No186 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien / Lien NHL
Henrik HaapalaHybrides (LYC)LW241994-02-28Yes165 Lbs175 CMNoNoNo2Avec RestrictionPro & Farm1,350,000$0$0$NoLien
Joonas KorpisaloHybrides (LYC)G241994-04-28No182 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm900,000$0$0$NoLien / Lien NHL
Joseph LaBateHybrides (LYC)C251993-04-16No210 Lbs196 CMNoNoNo1Avec RestrictionPro & Farm800,000$0$0$NoLien
Laurent BrossoitHybrides (LYC)G251993-03-23No204 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien / Lien NHL
Lucas WallmarkHybrides (LYC)C231995-09-05No176 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Mark PysykHybrides (LYC)D261992-01-11No200 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm1,125,000$0$0$NoLien / Lien NHL
Martin NecasHybrides (LYC)C191999-01-15Yes167 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm1,462,500$0$0$NoLien
Matt CalvertHybrides (LYC)LW281989-12-24No186 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm2,200,000$0$0$NoLien / Lien NHL
Maxim MaminHybrides (LYC)C/LW231995-01-13Yes191 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Michael KaplaHybrides (LYC)D241994-09-19No200 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Nelson NogierHybrides (LYC)D221996-05-27No191 Lbs188 CMNoNoNo1Contrat d'EntréePro & Farm771,667$0$0$NoLien / Lien NHL
Rasmus AnderssonHybrides (LYC)D211996-10-27No214 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm894,167$0$0$NoLien / Lien NHL
Ross JohnstonHybrides (LYC)LW241994-02-18No235 Lbs196 CMNoNoNo2Avec RestrictionPro & Farm666,667$0$0$NoLien
Sammy BlaisHybrides (LYC)LW221996-06-17Yes205 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm725,833$0$0$NoLien
Shane GersichHybrides (LYC)LW221996-07-10No175 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Spencer MartinHybrides (LYC)G231995-06-08No210 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm894,167$0$0$NoLien
Taylor LeierHybrides (LYC)LW241994-02-15No180 Lbs180 CMNoNoNo2Avec RestrictionPro & Farm806,588$0$0$NoLien
Ty RattieHybrides (LYC)RW251993-02-05No184 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien / Lien NHL
Zach WhitecloudHybrides (LYC)D211996-11-28No209 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm1,491,666$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2923.24195 Lbs185 CM1.52937,923$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt CalvertBrendan GaunceTy Rattie40122
2Ross JohnstonDenis MalginMatt Calvert30122
3Taylor LeierMaxim MaminBrendan Gaunce20122
4Sammy BlaisLucas WallmarkTy Rattie10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark PysykGustav Forsling40122
2Casey NelsonEthan Bear30122
3Anton LindholmRasmus Andersson20122
4Michael KaplaDuncan Siemens10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt CalvertBrendan GaunceTy Rattie60122
2Ross JohnstonDenis MalginMatt Calvert40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark PysykGustav Forsling60122
2Casey NelsonEthan Bear40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Matt CalvertBrendan Gaunce60122
2Ty RattieDenis Malgin40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark PysykGustav Forsling60122
2Casey NelsonEthan Bear40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Matt Calvert60122Mark PysykGustav Forsling60122
2Brendan Gaunce40122Casey NelsonEthan Bear40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Matt CalvertBrendan Gaunce60122
2Ty RattieDenis Malgin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mark PysykGustav Forsling60122
2Casey NelsonEthan Bear40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt CalvertBrendan GaunceTy RattieMark PysykGustav Forsling
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt CalvertBrendan GaunceTy RattieMark PysykGustav Forsling
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Henrik Haapala, Dominic Turgeon, Shane GersichHenrik Haapala, Dominic TurgeonShane Gersich
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Anton Lindholm, Rasmus Andersson, Michael KaplaAnton LindholmRasmus Andersson, Michael Kapla
Tirs de Pénalité
Matt Calvert, Brendan Gaunce, Ty Rattie, Denis Malgin, Ross Johnston
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
1Barracuda11000000312000000000001100000031221.000347007060404354344383701422164264125.00%2150.00%041480651.36%38877849.87%27453151.60%880553759307599313
2Benchwarmers4120100069-32110000035-22010100034-140.50061117007060404123434438370141444044681600.00%22386.36%041480651.36%38877849.87%27453151.60%880553759307599313
3Caribou1000000123-11000000123-10000000000010.50024600706040437434438370143012823700.00%40100.00%141480651.36%38877849.87%27453151.60%880553759307599313
4Casse-Tete40200200613-72010010025-32010010048-420.25061218007060404145434438370141193222751119.09%110100.00%041480651.36%38877849.87%27453151.60%880553759307599313
5Chevalier22000000752110000003211100000043141.000711180070604046043443837014592222469333.33%10460.00%041480651.36%38877849.87%27453151.60%880553759307599313
6Diabotins22000000633110000003121100000032141.00061218007060404724344383701453162038500.00%10190.00%141480651.36%38877849.87%27453151.60%880553759307599313
7Evil Saints430000101710743000010171070000000000081.0001726430070604041404344383701411048386611218.18%19384.21%141480651.36%38877849.87%27453151.60%880553759307599313
8Giants1010000037-4000000000001010000037-400.000347007060404384344383701437126169222.22%3166.67%041480651.36%38877849.87%27453151.60%880553759307599313
9Hooligans2010100045-1100010003211010000013-220.5004812007060404674344383701473181043500.00%5260.00%041480651.36%38877849.87%27453151.60%880553759307599313
10Jardiniers412001001214-2210001008622020000048-430.3751221330070604041274344383701413248427723313.04%16381.25%041480651.36%38877849.87%27453151.60%880553759307599313
11Pirates1010000012-1000000000001010000012-100.000123007060404274344383701438158215120.00%4175.00%041480651.36%38877849.87%27453151.60%880553759307599313
12Remparts220000007957400000000000220000007957441.0007913821700706040493434438370144081446000.00%7357.14%341480651.36%38877849.87%27453151.60%880553759307599313
13Requins2110000056-12110000056-10000000000020.500581300706040467434438370146617144610110.00%7357.14%141480651.36%38877849.87%27453151.60%880553759307599313
14Royaux1010000045-1000000000001010000045-100.0004711007060404294344383701440714132150.00%7271.43%041480651.36%38877849.87%27453151.60%880553759307599313
15St Johns22000000743110000003121100000043141.000714210070604047243443837014773220207342.86%10370.00%041480651.36%38877849.87%27453151.60%880553759307599313
Total3717130231117310766181030121154441019710011001196356440.59517330047300706040412504344383701411723843107061382115.22%1493278.52%741480651.36%38877849.87%27453151.60%880553759307599313
17Werewolves21100000810-2110000005321010000037-420.5008142200706040468434438370147420104210220.00%5180.00%041480651.36%38877849.87%27453151.60%880553759307599313
18Zombie2110000035-2000000000002110000035-220.5003470070604045043443837014582114404125.00%7185.71%041480651.36%38877849.87%27453151.60%880553759307599313
_Since Last GM Reset3717130231117310766181030121154441019710011001196356440.59517330047300706040412504344383701411723843107061382115.22%1493278.52%741480651.36%38877849.87%27453151.60%880553759307599313
_Vs Conference1785002115052-29510011129236834001002129-8210.618508213200706040456443443837014512178132331581118.97%651281.54%241480651.36%38877849.87%27453151.60%880553759307599313
_Vs Division13510001136315940000112821741100000810-2130.5003663990070604044394344383701443415012022046510.87%601181.67%241480651.36%38877849.87%27453151.60%880553759307599313

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3744W11733004731250117238431070600
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3717132311173107
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1810312115444
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
19710110011963
Derniers 10 Matchs
WLOTWOTL SOWSOL
540100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1382115.22%1493278.52%7
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
434438370147060404
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
41480651.36%38877849.87%27453151.60%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
880553759307599313


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 - 2018-10-011Hybrides4Chevalier3WSommaire du Match
3 - 2018-10-0314Evil Saints1Hybrides2WXXSommaire du Match
4 - 2018-10-0421Hybrides3Barracuda1WSommaire du Match
7 - 2018-10-0733Evil Saints4Hybrides6WSommaire du Match
10 - 2018-10-1048Jardiniers3Hybrides2LXSommaire du Match
12 - 2018-10-1256Hybrides4Royaux5LSommaire du Match
14 - 2018-10-1466Caribou3Hybrides2LXXSommaire du Match
16 - 2018-10-1677Hybrides4St Johns3WSommaire du Match
18 - 2018-10-1885Hybrides3Jardiniers4LSommaire du Match
19 - 2018-10-1993Casse-Tete2Hybrides1LXSommaire du Match
21 - 2018-10-21105Hooligans2Hybrides3WXSommaire du Match
23 - 2018-10-23115Hybrides1Benchwarmers3LSommaire du Match
24 - 2018-10-24124Werewolves3Hybrides5WSommaire du Match
26 - 2018-10-26132Hybrides1Hooligans3LSommaire du Match
29 - 2018-10-29145St Johns1Hybrides3WSommaire du Match
31 - 2018-10-31156Hybrides1Zombie4LSommaire du Match
32 - 2018-11-01161Hybrides38Remparts1WSommaire du Match
33 - 2018-11-02172Jardiniers3Hybrides6WSommaire du Match
35 - 2018-11-04179Hybrides2Casse-Tete5LSommaire du Match
38 - 2018-11-07191Requins3Hybrides0LSommaire du Match
40 - 2018-11-09203Hybrides3Diabotins2WSommaire du Match
41 - 2018-11-10208Hybrides1Pirates2LSommaire du Match
43 - 2018-11-12218Evil Saints3Hybrides5WSommaire du Match
46 - 2018-11-15231Requins3Hybrides5WSommaire du Match
48 - 2018-11-17242Hybrides3Giants7LSommaire du Match
50 - 2018-11-19252Chevalier2Hybrides3WSommaire du Match
51 - 2018-11-20258Hybrides2Zombie1WSommaire du Match
53 - 2018-11-22267Hybrides1Jardiniers4LSommaire du Match
54 - 2018-11-23276Diabotins1Hybrides3WSommaire du Match
57 - 2018-11-26288Hybrides41Remparts4WSommaire du Match
59 - 2018-11-28297Benchwarmers4Hybrides1LSommaire du Match
60 - 2018-11-29306Hybrides2Casse-Tete3LXSommaire du Match
63 - 2018-12-02318Benchwarmers1Hybrides2WSommaire du Match
65 - 2018-12-04330Hybrides2Benchwarmers1WXSommaire du Match
67 - 2018-12-06338Casse-Tete3Hybrides1LSommaire du Match
69 - 2018-12-08351Hybrides3Werewolves7LSommaire du Match
70 - 2018-12-09355Evil Saints2Hybrides4WSommaire du Match
73 - 2018-12-12370Hybrides-Leftovers-
74 - 2018-12-13377Remparts-Hybrides-
77 - 2018-12-16391Pirates-Hybrides-
80 - 2018-12-19401Hybrides-Barbarians-
82 - 2018-12-21411Hybrides-Hooligans-
83 - 2018-12-22417Leftovers-Hybrides-
85 - 2018-12-24431Barracuda-Hybrides-
87 - 2018-12-26441Hybrides-Evil Saints-
88 - 2018-12-27448Hybrides-Diabotins-
91 - 2018-12-30457Diabotins-Hybrides-
92 - 2018-12-31466Hybrides-Leftovers-
94 - 2019-01-02476St Johns-Hybrides-
96 - 2019-01-04491Hybrides-Royaux-
97 - 2019-01-05495Barbarians-Hybrides-
100 - 2019-01-08511Hooligans-Hybrides-
101 - 2019-01-09520Hybrides-Giants-
103 - 2019-01-11530Pirates-Hybrides-
105 - 2019-01-13539Hybrides-Barracuda-
106 - 2019-01-14546Hybrides-Royaux-
108 - 2019-01-16555Caribou-Hybrides-
110 - 2019-01-18571Barbarians-Hybrides-
112 - 2019-01-20579Hybrides-St Johns-
115 - 2019-01-23592Caribou-Hybrides-
116 - 2019-01-24600Hybrides-Evil Saints-
119 - 2019-01-27611Remparts-Hybrides-
120 - 2019-01-28620Hybrides-Pirates-
121 - 2019-01-29624Hybrides-Barbarians-
123 - 2019-01-31635Zombie-Hybrides-
125 - 2019-02-02650Zombie-Hybrides-
129 - 2019-02-06666Barracuda-Hybrides-
130 - 2019-02-07674Hybrides-Werewolves-
133 - 2019-02-10689Werewolves-Hybrides-
135 - 2019-02-12698Hybrides-Barracuda-
137 - 2019-02-14709Leftovers-Hybrides-
138 - 2019-02-15711Hybrides-Requins-
141 - 2019-02-18722Hybrides-Caribou-
143 - 2019-02-20731Chevalier-Hybrides-
145 - 2019-02-22744Hybrides-Caribou-
146 - 2019-02-23748Hybrides-Requins-
148 - 2019-02-25758Giants-Hybrides-
152 - 2019-03-01773Royaux-Hybrides-
154 - 2019-03-03785Giants-Hybrides-
157 - 2019-03-06797Hybrides-Chevalier-
159 - 2019-03-08807Royaux-Hybrides-
160 - 2019-03-09811Hybrides-Chevalier-



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
23 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,310,680$ 2,719,977$ 2,035,174$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
16,790$ 1,310,680$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 92 16,790$ 1,544,680$




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
201837171302311173107661810301211544410197100110011963564417330047300706040412504344383701411723843107061382115.22%1493278.52%741480651.36%38877849.87%27453151.60%880553759307599313
Total Saison Régulière205106580108194935438497102592005313247418828610347380556246125021122293516302565110328305273376361212720942043193591420261791398471515321.40%76413082.98%362234413754.00%2136410452.05%1514279154.25%485231124379167432171653
Séries
201612750000028280752000002016452300000812-414284775007108336011810111724377130100216371027.03%45686.67%015827357.88%13326250.76%9214165.25%28417828397191103
20179540000022193523000001111043100000118310223961015971271957094122579089197421126.19%37683.78%19219347.67%10818060.00%5010846.30%2091292057514272
Total Séries21129000005047312750000031274954000001920-124508613601121915463121317121136634220189413792126.58%821285.37%125046653.65%24144254.52%14224957.03%493307489173334176