beholdershellpepitosKingspatriots

 

 


Jardiniers

GP: 72 | W: 43 | L: 26 | OTL: 3 | P: 89
GF: 408 | GA: 237 | PP%: 22.54% | PK%: 76.65%
DG: Karl Wasilkowski | Morale : 50 | Moyenne d'Équipe : 75
Prochain matchs #737 vs Royaux
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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
1Riley Sheahan0X100.00513478447768827482848070715341050830
2Zack Kassian0X100.00845747448255687139827962715662050800
3Joel Eriksson Ek0X100.00822864436257897070818270634337045800
4Jake Virtanen0X100.00854055408054836939808467734438050790
5Brett Ritchie0X100.00864064368053716932798666625145050790
6Tomas Nosek0X100.00583467427551816659808069625243050780
7Tomas Jurco0X100.00613462415155706836798465695647050770
8Mikhail Grigorenko0X100.00383383447265856258767960615248050770
9Lawson Crouse0X100.00865152508353816336788154624041050760
10Matthew Highmore (R)0XX100.00502883593356745934708061644237050700
11Hudson Fasching0X100.00803364566745715730707261634237050690
12Danny O'Regan (R)0X100.00362883543545776071757056684135050680
13Teemu Pulkkinen0XX100.00341860643842795831677547625855050660
14Nick Sorensen0X100.00373364663849785631687255654135050660
15Quinton Howden0X100.00642082705338835631677152625145050660
16Alexandre Grenier0X100.00523665667227745631676952654941050640
17Spencer Abbott0X100.00372390653238745631677051645244050640
18Nikita Zadorov0X100.00874052468970748324827381604542050850
19Connor Carrick0X100.00564161454756808327817262614845050790
20Ian McCoshen0X100.00814058507854827930767059634034050770
21David Warsofsky0X100.00313271533147757530757072645145050740
22Marcus Pettersson (R)0X100.00492767524349777530757060644135050730
23Roland McKeown (R)0X100.00604044585449767130736760644446050720
Rayé
1Kyle Rau0X100.00723476603044765933717660634442050690
MOYENNE D'ÉQUIPE100.0061346652585178663975766164474305074
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
1Alex Lyon (R)100.0082916679838389858765724069050830
2Jon Gillies100.0081916884838489858764703862050830
3Adin Hill100.0080886781818187848567752441050800
Rayé
MOYENNE D'ÉQUIPE100.008190678182838885866572345705082
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
1Riley SheahanJardiniers (WPT)C72678915689120611323429619819.59%48165022.93131528531894711254326267.89%18506342061.89040001153
2Kevin LabancWarpathRW68547913379440438125110115021.51%42153322.5681220461766511193857245.79%1074925031.7334000647
3Matthew HighmoreJardiniers (WPT)C/LW72374784616022381705614021.76%11100213.92111122187000124151.79%56847051.6800000450
4Joel Eriksson EkJardiniers (WPT)C6139458428400129922407313816.25%30106417.46118194116501161053162.50%8484311021.5813000940
5Zack KassianJardiniers (WPT)RW722657833816735174592268315211.50%22117416.31411153014631471093247.62%845419021.4114213022
6Tomas NosekJardiniers (WPT)LW722450745232065631624710114.81%22108515.0831518261860001253058.14%432919021.3600000025
7Nikita ZadorovJardiniers (WPT)D72135366811302022616316777757.78%162184025.5656113721122413325220.00%02681000.7200103213
8Jake VirtanenJardiniers (WPT)RW7237266351540103422015612418.41%147139.9000010000002248.15%27419031.7700000225
9Mikhail GrigorenkoJardiniers (WPT)C7217375462201249124327113.71%1184011.67134417000001064.34%687267011.2900000111
10Brett RitchieJardiniers (WPT)RW722816442436011049161398617.39%176438.94000131121103148.28%292911011.3700000312
11Kyle RauJardiniers (WPT)C5914253920405436114285712.28%135519.3500000000000040.66%364348011.4100000011
12David WarsofskyJardiniers (WPT)D725343972120810210036565.00%106140419.51156121390227210100.00%0554000.5611000011
13Jared McCannWarpathC/LW3714203428320323987316616.09%2154314.70336101000000172046.88%3286011.2512000012
14Connor CarrickJardiniers (WPT)D72628347763568739445316.38%78181825.2626820202033533300100.00%11432000.3700001010
15Teemu PulkkinenJardiniers (WPT)LW/RW6152429194559127630516.58%45869.6200000000001052.63%19442000.9900000000
16Ian McCoshenJardiniers (WPT)D722141665640169584620184.35%70149320.7511271660111234000.00%1641000.2100000000
17Roland McKeownJardiniers (WPT)D72113144079577423720182.70%4791212.6800001000083100.00%0125000.3100001000
18Marcus PetterssonJardiniers (WPT)D7229115626038334624144.35%5295213.2300001000227000.00%0421000.2302000000
19Danny O'ReganJardiniers (WPT)C24189132029298223.45%31978.2400000000000062.96%13560000.9100000000
20Spencer AbbottJardiniers (WPT)LW24156132034175195.88%21988.2500000000000088.89%9140000.6100000000
21Hudson FaschingJardiniers (WPT)RW611232007983212.50%11071.76000011123780050.00%3231000.5600000000
22Jakub VranaWarpathLW31231004313587.69%37123.89101515000041020.00%541000.8401000001
23Tomas JurcoJardiniers (WPT)RW72112-1203342825.00%0490.6900036000001057.14%720000.8000000000
24Lawson CrouseJardiniers (WPT)RW72011100634160.00%2490.69000230001270030.00%1030000.4000000000
Stats d'équipe Total ou en Moyenne1478396685108197185470142511942719918161114.56%7812048813.8654961503191822172441922416411361.87%43465924220271.06721318383133
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
1Alex LyonJardiniers (WPT)43231620.9023.172496221321345736110.765174131262
2Jon GilliesJardiniers (WPT)32201010.8993.331858011031023545200.00003141121
Stats d'équipe Total ou en Moyenne75432630.9013.2443552323523681281310.765177272383


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
Adin HillJardiniers (WPT)G221996-05-11No202 Lbs198 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Alex LyonJardiniers (WPT)G251992-12-09Yes201 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Alexandre GrenierJardiniers (WPT)RW271991-09-05No200 Lbs196 CMNoNoNo2Avec RestrictionPro & Farm725,000$0$0$NoLien
Brett RitchieJardiniers (WPT)RW251993-07-01No217 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm875,000$0$0$NoLien / Lien NHL
Connor CarrickJardiniers (WPT)D241994-04-13No192 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien / Lien NHL
Danny O'ReganJardiniers (WPT)C241994-01-30Yes185 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
David WarsofskyJardiniers (WPT)D281990-05-30No170 Lbs175 CMNoNoNo2Avec RestrictionPro & Farm675,000$0$0$NoLien / Lien NHL
Hudson FaschingJardiniers (WPT)RW231995-07-28No204 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm1,350,000$0$0$NoLien / Lien NHL
Ian McCoshenJardiniers (WPT)D231995-08-05No217 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm1,025,000$0$0$NoLien / Lien NHL
Jake VirtanenJardiniers (WPT)RW221996-08-17No229 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm1,775,000$0$0$NoLien / Lien NHL
Joel Eriksson EkJardiniers (WPT)C211997-01-29No206 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm1,106,667$0$0$NoLien / Lien NHL
Jon GilliesJardiniers (WPT)G241994-01-22No223 Lbs198 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Kyle RauJardiniers (WPT)C251992-10-24No176 Lbs173 CMNoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien
Lawson CrouseJardiniers (WPT)RW211997-06-23No220 Lbs193 CMNoNoNo1Contrat d'EntréePro & Farm1,602,500$0$0$NoLien / Lien NHL
Marcus PetterssonJardiniers (WPT)D221996-05-08Yes180 Lbs193 CMNoNoNo2Contrat d'EntréePro & Farm894,167$0$0$NoLien
Matthew HighmoreJardiniers (WPT)C/LW221996-02-27Yes181 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Mikhail GrigorenkoJardiniers (WPT)C241994-05-16No209 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm1,430,000$0$0$NoLien / Lien NHL
Nick SorensenJardiniers (WPT)RW231994-10-23No182 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Nikita ZadorovJardiniers (WPT)D231995-04-16No230 Lbs196 CMNoNoNo1Avec RestrictionPro & Farm2,150,000$0$0$NoLien / Lien NHL
Quinton HowdenJardiniers (WPT)C261992-01-21No189 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm936,100$0$0$NoLien / Lien NHL
Riley SheahanJardiniers (WPT)C261991-12-07No214 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm2,075,000$0$0$NoLien / Lien NHL
Roland McKeownJardiniers (WPT)D221996-01-20Yes195 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm894,167$0$0$NoLien
Spencer AbbottJardiniers (WPT)LW301988-04-30No170 Lbs175 CMNoNoNo1Sans RestrictionPro & Farm575,000$0$0$NoLien
Teemu PulkkinenJardiniers (WPT)LW/RW261992-01-02No185 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien / Lien NHL
Tomas JurcoJardiniers (WPT)RW251992-12-28No188 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm900,000$0$0$NoLien / Lien NHL
Tomas NosekJardiniers (WPT)LW261992-09-01No210 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Zack KassianJardiniers (WPT)RW271991-01-24No209 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm1,500,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2724.30199 Lbs188 CM1.561,068,096$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tomas NosekRiley Sheahan40122
2Matthew HighmoreJoel Eriksson EkZack Kassian30122
3Teemu PulkkinenMikhail GrigorenkoBrett Ritchie20122
4Spencer AbbottDanny O'ReganJake Virtanen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita ZadorovConnor Carrick40122
2Ian McCoshenDavid Warsofsky30122
3Marcus PetterssonRoland McKeown20122
4Nikita ZadorovConnor Carrick10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Tomas NosekRiley Sheahan60122
2Matthew HighmoreJoel Eriksson EkZack Kassian40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita ZadorovConnor Carrick60122
2Ian McCoshenDavid Warsofsky40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Riley Sheahan60122
2Joel Eriksson EkZack Kassian40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita ZadorovConnor Carrick60122
2Ian McCoshenDavid Warsofsky40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Riley Sheahan60122Nikita ZadorovConnor Carrick60122
240122Ian McCoshenDavid Warsofsky40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Riley Sheahan60122
2Joel Eriksson EkZack Kassian40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita ZadorovConnor Carrick60122
2Ian McCoshenDavid Warsofsky40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tomas NosekRiley SheahanNikita ZadorovConnor Carrick
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tomas NosekRiley SheahanNikita ZadorovConnor Carrick
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tomas Jurco, Lawson Crouse, Hudson FaschingTomas Jurco, Lawson CrouseHudson Fasching
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Marcus Pettersson, Roland McKeown, Ian McCoshenMarcus PetterssonRoland McKeown, Ian McCoshen
Tirs de Pénalité
Riley Sheahan, , Joel Eriksson Ek, Zack Kassian, Brett Ritchie
Gardien
#1 : Jon Gillies, #2 : Alex Lyon, #3 : Adin Hill


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
1Barbarians422000001421-72110000069-321100000812-440.500142640001541509611152103191579242135486188300.00%23960.87%0985163060.43%981162260.48%731111365.68%1787118414895731081550
2Barracuda43100000206142200000011472110000092760.75020355501154150961114810319157924211318498113323.08%22481.82%0985163060.43%981162260.48%731111365.68%1787118414895731081550
3Benchwarmers633000001520-532100000810-231200000710-360.500152641001541509611215103191579242204697011026311.54%36975.00%1985163060.43%981162260.48%731111365.68%1787118414895731081550
4Caribou4310000024121222000000165112110000087160.75024406400154150961115510319157924214049569113538.46%25772.00%0985163060.43%981162260.48%731111365.68%1787118414895731081550
5Casse-Tete2020000036-32020000036-30000000000000.00036900154150961183103191579242662916354125.00%8187.50%0985163060.43%981162260.48%731111365.68%1787118414895731081550
6Chevalier422000001385211000008532110000053240.50013243700154150961114610319157924213847369211436.36%19384.21%2985163060.43%981162260.48%731111365.68%1787118414895731081550
7Diabotins4120001010821010000013-23110001095440.5001015250015415096111861031915792421073555861119.09%25484.00%0985163060.43%981162260.48%731111365.68%1787118414895731081550
8Evil Saints413000001424-101100000076130300000718-1120.25014243800154150961114810319157924213943467811436.36%23769.57%1985163060.43%981162260.48%731111365.68%1787118414895731081550
9Giants412010001418-421001000107320200000411-740.50014223600154150961115710319157924214664446723417.39%22959.09%0985163060.43%981162260.48%731111365.68%1787118414895731081550
10Hooligans2200000013762200000013760000000000041.00013233600154150961194103191579242661625357457.14%10370.00%0985163060.43%981162260.48%731111365.68%1787118414895731081550
11Hybrides4210100014122220000008442010100068-260.75014253900154150961113210319157924212735567816318.75%23386.96%0985163060.43%981162260.48%731111365.68%1787118414895731081550
12Leftovers4110101015123201000107702100100085360.75015233801154150961113310319157924213740485921314.29%18288.89%0985163060.43%981162260.48%731111365.68%1787118414895731081550
13Pirates32001000199101100000011382100100086261.000193352001541509611118103191579242972743677342.86%15380.00%1985163060.43%981162260.48%731111365.68%1787118414895731081550
14Remparts4400000015641522200000079277220000007727581.000156272428011541509611184103191579242782936793133.33%18383.33%9985163060.43%981162260.48%731111365.68%1787118414895731081550
15Requins522010002019132100000141222010100067-160.60020385810154150961116910319157924218251779719421.05%36780.56%0985163060.43%981162260.48%731111365.68%1787118414895731081550
16Royaux21000100990210001009900000000000030.75091524001541509611661031915792427626284012325.00%14378.57%1985163060.43%981162260.48%731111365.68%1787118414895731081550
17St Johns430000101486220000005232100001096381.00014213500154150961117110319157924214966416912433.33%18383.33%2985163060.43%981162260.48%731111365.68%1787118414895731081550
Total7235260523140823717137249011112271131143511170412018112457890.61840870611141315415096112763103191579242236979787714352445522.54%3949276.65%17985163060.43%981162260.48%731111365.68%1787118414895731081550
19Werewolves412001001418-42110000067-120100100811-330.37514253900154150961115310319157924214062508918422.22%19573.68%0985163060.43%981162260.48%731111365.68%1787118414895731081550
20Zombie41200001716-92100000155020200000211-930.375713200015415096111531031915792421294340941417.14%20765.00%0985163060.43%981162260.48%731111365.68%1787118414895731081550
_Since Last GM Reset7235260523140823717137249011112271131143511170412018112457890.61840870611141315415096112763103191579242236979787714352445522.54%3949276.65%17985163060.43%981162260.48%731111365.68%1787118414895731081550
_Vs Conference36191004030276105171181240101014853951876030201285276520.722276473749121541509611142710319157924211663974396691292720.93%1984378.28%13985163060.43%981162260.48%731111365.68%1787118414895731081550
_Vs Division148702010554213853000003626106340201019163220.78655101156101541509611516103191579242483154172291411229.27%781482.05%3985163060.43%981162260.48%731111365.68%1787118414895731081550

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
7289W2408706111427632369797877143513
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7235265231408237
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
372491111227113
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3511174120181124
Derniers 10 Matchs
WLOTWOTL SOWSOL
730000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2445522.54%3949276.65%17
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
1031915792421541509611
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
985163060.43%981162260.48%731111365.68%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1787118414895731081550


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 - 2018-10-013Jardiniers1Evil Saints6LSommaire du Match
2 - 2018-10-029Jardiniers1Diabotins2LSommaire du Match
4 - 2018-10-0420Benchwarmers3Jardiniers4WSommaire du Match
7 - 2018-10-0732Requins4Jardiniers5WSommaire du Match
10 - 2018-10-1048Jardiniers3Hybrides2WXSommaire du Match
12 - 2018-10-1255Pirates3Jardiniers11WSommaire du Match
13 - 2018-10-1360Jardiniers5Benchwarmers2WSommaire du Match
15 - 2018-10-1573Leftovers4Jardiniers3LSommaire du Match
18 - 2018-10-1885Hybrides3Jardiniers4WSommaire du Match
19 - 2018-10-1995Jardiniers37Remparts0WSommaire du Match
21 - 2018-10-21104Jardiniers6Leftovers5WXSommaire du Match
23 - 2018-10-23111Royaux3Jardiniers4WSommaire du Match
25 - 2018-10-25125Requins3Jardiniers6WSommaire du Match
26 - 2018-10-26135Jardiniers2Evil Saints6LSommaire du Match
28 - 2018-10-28143Jardiniers3Werewolves4LXSommaire du Match
30 - 2018-10-30153Casse-Tete3Jardiniers1LSommaire du Match
32 - 2018-11-01165Werewolves3Jardiniers4WSommaire du Match
33 - 2018-11-02172Jardiniers3Hybrides6LSommaire du Match
35 - 2018-11-04184Jardiniers2Leftovers0WSommaire du Match
39 - 2018-11-08195Royaux6Jardiniers5LXSommaire du Match
41 - 2018-11-10207St Johns1Jardiniers3WSommaire du Match
42 - 2018-11-11216Jardiniers3St Johns2WXXSommaire du Match
45 - 2018-11-14227St Johns1Jardiniers2WSommaire du Match
48 - 2018-11-17241Leftovers3Jardiniers4WXXSommaire du Match
50 - 2018-11-19250Jardiniers3Diabotins2WXXSommaire du Match
51 - 2018-11-20259Jardiniers1Chevalier2LSommaire du Match
53 - 2018-11-22267Hybrides1Jardiniers4WSommaire du Match
54 - 2018-11-23279Jardiniers1Zombie6LSommaire du Match
57 - 2018-11-26287Jardiniers1Benchwarmers5LSommaire du Match
58 - 2018-11-27294Caribou1Jardiniers3WSommaire du Match
61 - 2018-11-30307Requins5Jardiniers3LSommaire du Match
63 - 2018-12-02321Jardiniers2Barbarians8LSommaire du Match
65 - 2018-12-04329Chevalier3Jardiniers2LSommaire du Match
67 - 2018-12-06341Jardiniers6Barbarians4WSommaire du Match
68 - 2018-12-07347Zombie3Jardiniers2LXXSommaire du Match
71 - 2018-12-10358Jardiniers2Requins4LSommaire du Match
72 - 2018-12-11368Jardiniers40Remparts2WSommaire du Match
74 - 2018-12-13373Barbarians4Jardiniers5WSommaire du Match
76 - 2018-12-15387Casse-Tete3Jardiniers2LSommaire du Match
80 - 2018-12-19403Caribou4Jardiniers13WSommaire du Match
81 - 2018-12-20408Jardiniers1Giants6LSommaire du Match
84 - 2018-12-23422Jardiniers5Diabotins1WSommaire du Match
85 - 2018-12-24429Giants4Jardiniers6WSommaire du Match
88 - 2018-12-27444Benchwarmers5Jardiniers1LSommaire du Match
90 - 2018-12-29454Jardiniers5Werewolves7LSommaire du Match
92 - 2018-12-31464Benchwarmers2Jardiniers3WSommaire du Match
93 - 2019-01-01474Jardiniers1Barracuda2LSommaire du Match
95 - 2019-01-03484Jardiniers3Giants5LSommaire du Match
96 - 2019-01-04490Evil Saints6Jardiniers7WSommaire du Match
99 - 2019-01-07503Werewolves4Jardiniers2LSommaire du Match
100 - 2019-01-08512Jardiniers1Benchwarmers3LSommaire du Match
102 - 2019-01-10524Remparts1Jardiniers39WSommaire du Match
104 - 2019-01-12536Jardiniers1Zombie5LSommaire du Match
105 - 2019-01-13544Remparts1Jardiniers40WSommaire du Match
108 - 2019-01-16554Jardiniers8Barracuda0WSommaire du Match
109 - 2019-01-17560Jardiniers6St Johns4WSommaire du Match
110 - 2019-01-18568Zombie2Jardiniers3WSommaire du Match
112 - 2019-01-20581Jardiniers4Caribou1WSommaire du Match
114 - 2019-01-22589Chevalier2Jardiniers6WSommaire du Match
117 - 2019-01-25602Jardiniers4Caribou6LSommaire du Match
119 - 2019-01-27610Barracuda2Jardiniers4WSommaire du Match
121 - 2019-01-29625Hooligans4Jardiniers5WSommaire du Match
123 - 2019-01-31636Jardiniers4Pirates3WXSommaire du Match
124 - 2019-02-01644Hooligans3Jardiniers8WSommaire du Match
127 - 2019-02-04656Jardiniers4Requins3WXSommaire du Match
128 - 2019-02-05662Jardiniers4Evil Saints6LSommaire du Match
129 - 2019-02-06669Barbarians5Jardiniers1LSommaire du Match
133 - 2019-02-10686Giants3Jardiniers4WXSommaire du Match
135 - 2019-02-12697Jardiniers4Chevalier1WSommaire du Match
136 - 2019-02-13704Diabotins3Jardiniers1LSommaire du Match
140 - 2019-02-17716Jardiniers4Pirates3WSommaire du Match
142 - 2019-02-19725Barracuda2Jardiniers7WSommaire du Match
144 - 2019-02-21737Jardiniers-Royaux-
145 - 2019-02-22743Jardiniers-Casse-Tete-
146 - 2019-02-23750Jardiniers-Hooligans-
148 - 2019-02-25756Pirates-Jardiniers-
151 - 2019-02-28767Diabotins-Jardiniers-
153 - 2019-03-02782Evil Saints-Jardiniers-
154 - 2019-03-03789Jardiniers-Casse-Tete-
157 - 2019-03-06802Pirates-Jardiniers-
160 - 2019-03-09814Jardiniers-Hooligans-
161 - 2019-03-10815Jardiniers-Royaux-



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
4 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,704,231$ 2,883,861$ 1,861,750$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
17,802$ 2,704,231$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 19 17,802$ 338,238$




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
2016846111041434931523414231802010200791214230302133293732201224938631356141661541659271190087090663239789293616042817125.27%2773587.36%171067168263.44%1027166961.53%744124959.57%2020134918216561246639
201784373004247326409-8342231201213180212-3242141803034146197-517432655287804133879813255688985277674232488762013813095317.15%2907574.14%8923167855.01%896154857.88%714129954.97%2018132717706771316661
201872352605231408237171372490111122711311435111704120181124578940870611141315415096112763103191579242236979787714352445522.54%3949276.65%17985163060.43%981162260.48%731111365.68%1787118414895731081550
Total Saison Régulière24013367013511111227798429121782904334607404203119553809287620394226285122721213348211453391359338030282026372474179709025762433442083417921.46%96120278.98%422975499059.62%2904483960.01%2189366159.79%582638615081190736441851
Séries
201621147000008054261183000004919301064000003135-428801392190134153106702372092240598210245349981818.37%621772.58%126447655.46%21938257.33%14228150.53%491323459172312154
2017136700000373617340000022202633000001516-1123769106011513904521531381481341317511427432825.00%571278.95%019729467.01%18528864.24%11416569.09%3352312859018094
Total Séries34201400000117902718117000007139321697000004651-54011720832502492840011223903473721310113853596231302620.00%1192975.63%146177059.87%40467060.30%25644657.40%827555744262492249