Royaux

GP: 84 | W: 50 | L: 25 | OTL: 9 | P: 109
GF: 310 | GA: 340 | PP%: 18.75% | PK%: 85.05%
DG: Eric Plourde | Morale : 50 | Moyenne d'Équipe : 78
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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
1Peter Holland0X100.00483465345564776972828269745751050800
2Alan Quine0X100.00562678374759806772837970655639050780
3Chris VandeVelde0X100.00602870495457846247817780435646050780
4Chris Thorburn0X100.00755241549036806255787869586566050770
5Scott Laughton0XX100.00583864414548706872828071635257050770
6Nick Shore0X100.00512669435059816581817972505138050770
7Daniel Carr0X100.00472672394350697038828170565736050760
8Michael Chaput0X100.00543565505650836379807871504752050760
9Logan Shaw0X100.00613073465449816448807972504644050760
10Nicolas Deslauriers0X100.00934650526639756131797765425660050740
11Michael Latta0X100.00645139556335706066757864604865050720
12Dylan Strome (R)0X100.00202580613964855763697257574633050700
13Alex Petrovic0X100.00813834506261668427837574464760050830
14Xavier Ouellet0X100.00453459505562898330807477495955050830
15Noah Hanifin0X100.00352974444962918623847561674337050820
16Alexey Marchenko0X100.00332971525958748127807478495837050810
17Scott Mayfield0X100.00713834527151878329787563555059050800
18Erik Gustafsson0X100.00352876553754817829767358485433050750
19Markus Nutivaara0X100.00352880514046798228787461554930050750
20Samuel Morin (R)0X100.00253874635861856930706850574861050740
21Patrick Sieloff0X100.00213473635262856930707050574552050740
22Stefan Elliott0X100.00252878604650897430727153535935050730
23Trevor Carrick0X100.00203878634558856930706749575259050730
24Petteri Lindbohm0X100.00393257615146877230717154565151050720
Rayé
1Lucas Lessio0X100.00402669645548735733687560684538050680
MOYENNE D'ÉQUIPE100.0048336552545380704477756555524805076
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
1Al Montoya100.0091655793958995929493766778050920
2Ben Scrivens100.0089915391958792879366826450050880
3Pheonix Copley100.0089704385938787888767563435050820
Rayé
1Eric Comrie100.0090704687898786899267573234050820
MOYENNE D'ÉQUIPE100.009074508993889089927368494905086
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo70707070707070CAN444450,000$


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'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
1Logan ShawRoyaux (KLA)RW845160111-18180130782508615120.40%33143717.126172348219000006354.05%746322031.5424000735
2Alexey MarchenkoRoyaux (KLA)D843176107-11160441692099110814.83%91180721.5272128733154267197310.00%05557031.1800000436
3Scott MayfieldRoyaux (KLA)D84284371-15105522177122595622.95%58139616.6352713181232151210.00%05930031.0200000123
4Daniel CarrRoyaux (KLA)LW84332659-116069932426914413.64%27123614.721552052230000064352.73%555317000.9501000464
5Alan QuineRoyaux (KLA)C84222850128057112156449914.10%30139916.667613322000110936359.13%12162819100.71415000353
6Chris ThorburnRoyaux (KLA)RW66113243-256016484219621115.02%30109816.645152057202000003152.63%386917000.7800000332
7Scott LaughtonRoyaux (KLA)C/LW77142943206359583174551078.05%39126416.4202271703351223055.36%564818000.6803001350
8Alex PetrovicRoyaux (KLA)D7711263711124018211115169667.28%67134317.4543730135011025110.00%04526000.5500000125
9Nick ShoreRoyaux (KLA)C8412253778067116119558310.08%35110913.210000011251002061.15%3143123020.67311000121
10Stefan ElliottRoyaux (KLA)D1082634-190013734131123.53%715615.69033816033112100.00%0911014.3300000000
11Patrick SieloffRoyaux (KLA)D10112233-290091136171830.56%1518218.2712361610118000.00%0911033.6100000010
12Xavier OuelletRoyaux (KLA)D77101929-66754818716969665.92%125181423.56123181352249292230.00%05451000.3203000112
13Dylan StromeRoyaux (KLA)C811262716010536732521.49%9126715.650997222000000055.82%10484113000.43214000000
14Peter HollandRoyaux (KLA)C5711152614602910012639778.73%3891516.060000021362741064.15%7671918000.5702000212
15Chris VandeVeldeRoyaux (KLA)C779162541208712810030689.00%61128516.69371032179033113552354.95%1113217100.3901000250
16Lucas LessioRoyaux (KLA)LW18101323-6201663671227.78%620011.1400000000000018.18%11113022.2900000000
17Michael LattaRoyaux (KLA)C8471118890101073710531616.67%1293511.13000211000041064.15%106329000.3911011002
18Michael ChaputRoyaux (KLA)C848917-118063979531608.42%2884110.020000151013932163.24%4084318000.4000000012
19Noah HanifinRoyaux (KLA)D1647110201317205720.00%1437723.58033643101251100.00%097000.5812000011
20Markus NutivaaraRoyaux (KLA)D774592608564226199.52%3283610.8600000000169100.00%01115000.2200000201
21Trevor CarrickRoyaux (KLA)D10459-120021442100.00%1777.780000010115000.00%024012.3200000000
22Erik GustafssonRoyaux (KLA)D73156412013199632621.04%66098.3500000000000041.18%17386000.2000000000
23Nicolas DeslauriersRoyaux (KLA)LW20134160368238144.35%023511.79000214000000033.33%380000.3400000000
24Samuel MorinRoyaux (KLA)D6011-200001000.00%1427.030000000000000.00%001000.4700000000
Stats d'équipe Total ou en Moyenne1424302528830-3864125148316502596934145411.63%7652187215.3654971513931997141933541865412059.30%42247694132180.761357012344139
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
1Al MontoyaRoyaux (KLA)76462190.9281.9746364615221091081110.846527611683
2Pheonix CopleyRoyaux (KLA)11000.8952.00600021910000.0000170000
Stats d'équipe Total ou en Moyenne77472190.9281.9746964615421281091110.8465277711683


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 Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Al MontoyaRoyaux (KLA)G321985-02-13No209 Lbs188 CMNoNoNo1Sans RestrictionPro & Farm1,260,000$0$0$NoLien NHL
Alan QuineRoyaux (KLA)C241993-02-25No200 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm613,000$0$0$NoLien / Lien NHL
Alex PetrovicRoyaux (KLA)D251992-03-03No206 Lbs193 CMNoNoNo2Avec RestrictionPro & Farm1,050,000$0$0$No1,050,000$Lien / Lien NHL
Alexey MarchenkoRoyaux (KLA)D251992-01-02No210 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm792,000$0$0$NoLien NHL
Ben ScrivensRoyaux (KLA)G311986-09-11No181 Lbs188 CMNoNoNo1Sans RestrictionPro & Farm450,000$0$0$No
Chris ThorburnRoyaux (KLA)RW341983-06-03No235 Lbs191 CMNoNoNo1Sans RestrictionPro & Farm1,497,600$0$0$NoLien / Lien NHL
Chris VandeVeldeRoyaux (KLA)C301987-03-15No190 Lbs188 CMNoNoNo1Sans RestrictionPro & Farm855,600$0$0$NoLien / Lien NHL
Daniel CarrRoyaux (KLA)LW251991-11-01No188 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Dylan StromeRoyaux (KLA)C201997-03-07Yes185 Lbs191 CMNoNoNo2Contrat d'EntréePro & Farm3,369,167$0$0$No3,369,167$Lien
Eric ComrieRoyaux (KLA)G221995-07-06No175 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm902,500$0$0$No902,500$
Erik GustafssonRoyaux (KLA)D251992-03-14No176 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Logan ShawRoyaux (KLA)RW241992-10-05No202 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm660,000$0$0$NoLien / Lien NHL
Lucas LessioRoyaux (KLA)LW241993-01-23No212 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm894,000$0$0$NoLien NHL
Markus NutivaaraRoyaux (KLA)D231994-06-06No186 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Michael ChaputRoyaux (KLA)C251992-04-09No204 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm600,000$0$0$No600,000$
Michael LattaRoyaux (KLA)C261991-05-25No207 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm575,000$0$0$NoLien NHL
Nick ShoreRoyaux (KLA)C241992-09-26No201 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm600,000$0$0$No600,000$Lien NHL
Nicolas DeslauriersRoyaux (KLA)LW261991-02-22No216 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm637,000$0$0$NoLien NHL
Noah HanifinRoyaux (KLA)D201997-01-25No206 Lbs191 CMNoNoNo1Contrat d'EntréePro & Farm1,775,000$0$0$NoLien NHL
Patrick SieloffRoyaux (KLA)D231994-05-15No205 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm894,000$0$0$NoLien NHL
Peter HollandRoyaux (KLA)C261991-01-14No200 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm775,000$0$0$NoLien NHL
Petteri LindbohmRoyaux (KLA)D241993-09-23No198 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm700,000$0$0$No700,000$Lien NHL
Pheonix CopleyRoyaux (KLA)G251992-01-18No196 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$No
Samuel MorinRoyaux (KLA)D221995-07-12Yes202 Lbs198 CMNoNoNo2Contrat d'EntréePro & Farm1,363,333$0$0$No1,363,333$
Scott LaughtonRoyaux (KLA)C/LW231994-05-30No190 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm1,076,000$0$0$NoLien NHL
Scott MayfieldRoyaux (KLA)D241992-10-14No224 Lbs193 CMNoNoNo2Avec RestrictionPro & Farm625,000$0$0$No625,000$Lien NHL
Stefan ElliottRoyaux (KLA)D261991-01-30No190 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$No
Trevor CarrickRoyaux (KLA)D231994-07-04No186 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm733,000$0$0$No
Xavier OuelletRoyaux (KLA)D241993-07-29No208 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm894,000$0$0$NoLien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2925.00200 Lbs188 CM1.34963,490$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Scott LaughtonAlan QuineLogan Shaw40122
2Daniel CarrDylan StromeChris Thorburn30122
3Michael LattaPeter HollandNick Shore20122
4Chris VandeVeldeMichael ChaputErik Gustafsson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Xavier Ouellet40122
2Scott MayfieldAlexey Marchenko30122
3Markus NutivaaraAlex Petrovic20122
4Alex Petrovic10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chris ThorburnDylan StromeDaniel Carr60122
2Logan ShawAlan QuineChris VandeVelde40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexey Marchenko60122
2Alex PetrovicXavier Ouellet40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Peter HollandChris VandeVelde60122
2Nick ShoreScott Laughton40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Xavier Ouellet60122
2Scott MayfieldAlexey Marchenko40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Alan Quine60122Xavier Ouellet60122
2Chris VandeVelde40122Scott MayfieldAlexey Marchenko40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Dylan StromeChris Thorburn60122
2Alan QuineLogan Shaw40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexey Marchenko60122
2Markus NutivaaraXavier Ouellet40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dylan StromeAlan QuineLogan ShawAlex Petrovic
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Scott LaughtonAlan QuineChris VandeVeldeAlex Petrovic
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michael Latta, Dylan Strome, Michael ChaputMichael Latta, Dylan StromeMichael Chaput
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Xavier Ouellet, Alexey Marchenko, Scott MayfieldAlex PetrovicMarkus Nutivaara, Alex Petrovic
Tirs de Pénalité
Dylan Strome, Alan Quine, Nick Shore, Peter Holland, Logan Shaw
Gardien
#1 : Al Montoya, #2 : Pheonix Copley


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
1Barracuda632000102041-21220000001046412000101037-2780.6672038580098104981320184988783192145514411822627.27%22577.27%1940168055.95%966163659.05%650124252.33%2021132417996911300648
2Benchwarmers21000010532100000102111100000032141.0005813009810498136884988783192551719305120.00%7271.43%0940168055.95%966163659.05%650124252.33%2021132417996911300648
3Caribou622000021315-23110000178-13110000167-160.500132437019810498131888498878319217652729530310.00%27388.89%0940168055.95%966163659.05%650124252.33%2021132417996911300648
4Casse-Tete72200021865630310000114125164120001045311490.643861432290098104981324184988783192187574613419631.58%20860.00%7940168055.95%966163659.05%650124252.33%2021132417996911300648
5Chevalier604000201142-3130200010634-283020001058-340.333111627009810498131998498878319218751341121815.56%18477.78%1940168055.95%966163659.05%650124252.33%2021132417996911300648
6Diabotins21001000532110000003211000100021141.0005611009810498135284988783192491416415120.00%90100.00%0940168055.95%966163659.05%650124252.33%2021132417996911300648
7Evil Saints7610000018993300000094543100000954120.8571833510098104981320984988783192185666713613215.38%32196.88%1940168055.95%966163659.05%650124252.33%2021132417996911300648
8Giants431000001064211000004312200000063360.750101828009810498131028498878319214049366513323.08%18288.89%1940168055.95%966163659.05%650124252.33%2021132417996911300648
9Hooligans31100001770110000005322010000124-230.500712190098104981380849887831928530267010220.00%14285.71%0940168055.95%966163659.05%650124252.33%2021132417996911300648
10Hybrides733000011543-283210000097241200001636-3070.5001526410298104981320484988783192189674213428517.86%21480.95%0940168055.95%966163659.05%650124252.33%2021132417996911300648
11Jardiniers73200020493910522000104235721000010743100.71449851340098104981320684988783192208687012920735.00%35877.14%1940168055.95%966163659.05%650124252.33%2021132417996911300648
12Leftovers330000001147220000008351100000031261.0001121320098104981389849887831926634184618316.67%9277.78%1940168055.95%966163659.05%650124252.33%2021132417996911300648
13Pirates6400020016793300000081731000200862100.83316294502981049813206849887831921394442116400.00%21195.24%0940168055.95%966163659.05%650124252.33%2021132417996911300648
14Requins2020000047-31010000013-21010000034-100.0004711109810498136684988783192521818359111.11%9366.67%0940168055.95%966163659.05%650124252.33%2021132417996911300648
15St Johns32100000532220000004131010000012-140.6675914019810498139184988783192852830501317.69%150100.00%0940168055.95%966163659.05%650124252.33%2021132417996911300648
Total84402501396310340-304226900142180172842141601254130168-381090.64931053684616981049813260484988783192231077067315172885418.75%3214885.05%14940168055.95%966163659.05%650124252.33%2021132417996911300648
17Werewolves724001001342-29421001001033-233030000039-650.3571324370098104981321184988783192194654711232412.50%21290.48%1940168055.95%966163659.05%650124252.33%2021132417996911300648
18Zombie6400001122139330000001156310000111183110.917223759009810498131918498878319216859469429827.59%23195.65%0940168055.95%966163659.05%650124252.33%2021132417996911300648
_Since Last GM Reset84402501396310340-304226900142180172842141601254130168-381090.64931053684616981049813260484988783192231077067315172885418.75%3214885.05%14940168055.95%966163659.05%650124252.33%2021132417996911300648
_Vs Conference52221800165198261-632414500122103120-17288130004395141-46620.5961983415390398104981316448498878319214314683989351913518.32%1842884.78%11940168055.95%966163659.05%650124252.33%2021132417996911300648
_Vs Division2111100002348371110640001127171011560001221201290.6904886134029810498136368498878319258619321438171912.68%95891.58%1940168055.95%966163659.05%650124252.33%2021132417996911300648

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
84109W131053684626042310770673151716
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8440251396310340
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
422690142180172
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4214161254130168
Derniers 10 Matchs
WLOTWOTL SOWSOL
630001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2885418.75%3214885.05%14
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
84988783192981049813
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
940168055.95%966163659.05%650124252.33%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2021132417996911300648


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 - 2017-10-014Werewolves28Royaux3LSommaire du Match
4 - 2017-10-0420Chevalier29Royaux2LSommaire du Match
5 - 2017-10-0527Royaux2Barracuda30LSommaire du Match
7 - 2017-10-0738Jardiniers23Royaux32WSommaire du Match
9 - 2017-10-0944Royaux38Casse-Tete21WSommaire du Match
11 - 2017-10-1155Casse-Tete19Royaux35WSommaire du Match
13 - 2017-10-1363Royaux1Hybrides29LSommaire du Match
15 - 2017-10-1573Jardiniers5Royaux1LSommaire du Match
16 - 2017-10-1678Royaux2Pirates3LXSommaire du Match
17 - 2017-10-1785Royaux3Casse-Tete4LSommaire du Match
19 - 2017-10-1995Chevalier1Royaux2WXXSommaire du Match
21 - 2017-10-21106Royaux4Barracuda2WSommaire du Match
24 - 2017-10-24114Jardiniers1Royaux3WSommaire du Match
25 - 2017-10-25119Royaux3Evil Saints1WSommaire du Match
27 - 2017-10-27130Royaux1Werewolves4LSommaire du Match
28 - 2017-10-28139Werewolves2Royaux1LXSommaire du Match
30 - 2017-10-30150Barracuda2Royaux6WSommaire du Match
32 - 2017-11-01159Requins3Royaux1LSommaire du Match
34 - 2017-11-03166Royaux5Pirates1WSommaire du Match
36 - 2017-11-05178Chevalier4Royaux2LSommaire du Match
38 - 2017-11-07186Royaux1Hooligans2LXXSommaire du Match
40 - 2017-11-09196Hooligans3Royaux5WSommaire du Match
43 - 2017-11-12205Royaux1Barracuda3LSommaire du Match
45 - 2017-11-14213Royaux3Zombie2WXXSommaire du Match
47 - 2017-11-16223Caribou3Royaux2LSommaire du Match
48 - 2017-11-17231Royaux1Chevalier3LSommaire du Match
51 - 2017-11-20240Royaux3Chevalier2WXXSommaire du Match
52 - 2017-11-21247St Johns1Royaux3WSommaire du Match
55 - 2017-11-24256Royaux1Casse-Tete4LSommaire du Match
56 - 2017-11-25266Royaux3Caribou0WSommaire du Match
57 - 2017-11-26271Leftovers1Royaux5WSommaire du Match
59 - 2017-11-28285Pirates0Royaux3WSommaire du Match
61 - 2017-11-30294Caribou4Royaux3LXXSommaire du Match
63 - 2017-12-02300Royaux2Caribou3LXXSommaire du Match
65 - 2017-12-04314Hybrides3Royaux5WSommaire du Match
67 - 2017-12-06322Royaux1Werewolves2LSommaire du Match
68 - 2017-12-07329Royaux3Giants2WSommaire du Match
70 - 2017-12-09337Jardiniers2Royaux1LSommaire du Match
72 - 2017-12-11344Royaux3Jardiniers2WXXSommaire du Match
74 - 2017-12-13354Hybrides4Royaux1LSommaire du Match
76 - 2017-12-15366Werewolves1Royaux2WSommaire du Match
78 - 2017-12-17375Royaux2Hybrides4LSommaire du Match
79 - 2017-12-18384Royaux1Caribou4LSommaire du Match
81 - 2017-12-20391Evil Saints1Royaux3WSommaire du Match
83 - 2017-12-22400Royaux1Hooligans2LSommaire du Match
85 - 2017-12-24409Zombie1Royaux4WSommaire du Match
86 - 2017-12-25414Royaux2Hybrides3LXXSommaire du Match
88 - 2017-12-27426Jardiniers4Royaux5WXXSommaire du Match
91 - 2017-12-30437Hybrides0Royaux3WSommaire du Match
92 - 2017-12-31443Royaux4Zombie5LXXSommaire du Match
95 - 2018-01-03455Caribou1Royaux2WSommaire du Match
98 - 2018-01-06465Royaux3Evil Saints1WSommaire du Match
100 - 2018-01-08476Werewolves2Royaux4WSommaire du Match
102 - 2018-01-10486Royaux3Benchwarmers2WSommaire du Match
103 - 2018-01-11492Royaux2Diabotins1WXSommaire du Match
105 - 2018-01-13500Pirates1Royaux3WSommaire du Match
106 - 2018-01-14509Royaux3Barracuda2WXXSommaire du Match
108 - 2018-01-16519Benchwarmers1Royaux2WXXSommaire du Match
110 - 2018-01-18530Leftovers2Royaux3WSommaire du Match
113 - 2018-01-21540Royaux1Hybrides0WSommaire du Match
114 - 2018-01-22545Royaux1Chevalier3LSommaire du Match
117 - 2018-01-25553Diabotins2Royaux3WSommaire du Match
118 - 2018-01-26562Royaux1Werewolves3LSommaire du Match
119 - 2018-01-27572Giants2Royaux1LSommaire du Match
120 - 2018-01-28579Royaux4Jardiniers2WSommaire du Match
122 - 2018-01-30586Royaux1Pirates2LXSommaire du Match
123 - 2018-01-31593Pirates0Royaux2WSommaire du Match
126 - 2018-02-03606Casse-Tete4Royaux5WXXSommaire du Match
128 - 2018-02-05614Royaux3Giants1WSommaire du Match
129 - 2018-02-06624Giants1Royaux3WSommaire du Match
130 - 2018-02-07633Royaux4Zombie1WSommaire du Match
132 - 2018-02-09641St Johns0Royaux1WSommaire du Match
134 - 2018-02-11652Zombie2Royaux4WSommaire du Match
136 - 2018-02-13660Royaux3Casse-Tete2WXXSommaire du Match
138 - 2018-02-15670Barracuda2Royaux4WSommaire du Match
139 - 2018-02-16677Royaux1Evil Saints2LSommaire du Match
140 - 2018-02-17679Royaux1St Johns2LSommaire du Match
143 - 2018-02-20695Royaux3Leftovers1WSommaire du Match
144 - 2018-02-21702Casse-Tete2Royaux1LXXSommaire du Match
149 - 2018-02-26717Zombie2Royaux3WSommaire du Match
151 - 2018-02-28726Evil Saints1Royaux3WSommaire du Match
153 - 2018-03-02735Royaux2Evil Saints1WSommaire du Match
154 - 2018-03-03739Royaux3Requins4LSommaire du Match
157 - 2018-03-06751Evil Saints2Royaux3WSommaire 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
2,714,892$ 2,794,120$ 2,087,084$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
17,573$ 2,714,892$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 17,573$ 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
201784402501396310340-304226900142180172842141601254130168-3810931053684616981049813260484988783192231077067315172885418.75%3214885.05%14940168055.95%966163659.05%650124252.33%2021132417996911300648
Total Saison Régulière84402501396310340-304226900142180172842141601254130168-3810931053684616981049813260484988783192231077067315172885418.75%3214885.05%14940168055.95%966163659.05%650124252.33%2021132417996911300648