Connexion

Jardiniers
GP: 30 | W: 16 | L: 12 | OTL: 2 | P: 34
GF: 437 | GA: 138 | PP%: 37.63% | PK%: 65.87%
DG: Karl Wasilkowski | Morale : 50 | Moyenne d’équipe : 65
Prochains matchs #247 vs Barbus
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Centre de jeu
Jardiniers
16-12-2, 34pts
2
FINAL
5 Vagabond
16-13-1, 33pts
Team Stats
W1SéquenceL1
9-6-0Fiche domicile11-4-0
7-6-2Fiche domicile5-9-1
5-4-1Derniers 10 matchs4-6-0
14.57Buts par match 13.30
4.60Buts contre par match 3.67
37.63%Pourcentage en avantage numérique35.80%
65.87%Pourcentage en désavantage numérique72.13%
Hooligans
7-23-0, 14pts
1
FINAL
43 Jardiniers
16-12-2, 34pts
Team Stats
L8SéquenceW1
4-11-0Fiche domicile9-6-0
3-12-0Fiche domicile7-6-2
1-9-0Derniers 10 matchs5-4-1
6.77Buts par match 14.57
33.20Buts contre par match 4.60
1.27%Pourcentage en avantage numérique37.63%
36.36%Pourcentage en désavantage numérique65.87%
Barbus
24-4-2, 50pts
2023-12-09
Jardiniers
16-12-2, 34pts
Statistiques d’équipe
W5SéquenceW1
14-1-0Fiche domicile9-6-0
10-3-2Fiche visiteur7-6-2
9-1-010 derniers matchs5-4-1
14.53Buts par match 14.57
2.20Buts contre par match 14.57
33.68%Pourcentage en avantage numérique37.63%
78.07%Pourcentage en désavantage numérique65.87%
Jardiniers
16-12-2, 34pts
2023-12-11
Hybrides
19-10-1, 39pts
Statistiques d’équipe
W1SéquenceW4
9-6-0Fiche domicile10-5-0
7-6-2Fiche visiteur9-5-1
5-4-110 derniers matchs7-3-0
14.57Buts par match 15.10
4.60Buts contre par match 15.10
37.63%Pourcentage en avantage numérique32.05%
65.87%Pourcentage en désavantage numérique76.03%
Knights
9-21-0, 18pts
2023-12-13
Jardiniers
16-12-2, 34pts
Statistiques d’équipe
L1SéquenceW1
5-10-0Fiche domicile9-6-0
4-11-0Fiche visiteur7-6-2
4-6-010 derniers matchs5-4-1
7.53Buts par match 14.57
7.40Buts contre par match 14.57
22.97%Pourcentage en avantage numérique37.63%
62.30%Pourcentage en désavantage numérique65.87%
Meneurs d'équipe
Buts
Luke Evangelista
71
Morgan FrostPasses
Morgan Frost
87
Points
Luke Evangelista
132
Plus/Moins
Evan Bouchard
144
Eric ComrieVictoires
Eric Comrie
5
Alex LyonPourcentage d’arrêts
Alex Lyon
0.86

Statistiques d’équipe
Buts pour
437
14.57 GFG
Tirs pour
1203
40.10 Avg
Pourcentage en avantage numérique
37.6%
35 GF
Début de zone offensive
30.3%
Buts contre
138
4.60 GAA
Tirs contre
831
27.70 Avg
Pourcentage en désavantage numérique
65.9%%
43 GA
Début de la zone défensive
25.9%
Informations de l'équipe

Directeur généralKarl Wasilkowski
DivisionBeliveau
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure26
Limite contact 56 / 60
Espoirs79


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Morgan Frost0X100.00754390856373977680524965536060050690241863,333$
2Jacob Peterson (R)0XX100.00754389816576858344554867754546050690242925,000$
3Luke Evangelista (R)0X100.00614091806174858725525161254646050670212896,667$
4Noah Gregor0XXX100.00826683776964816135484870256161050660251750,000$
5Morgan Geekie0XX100.00716289746557885878514774256162050660251750,000$
6Jesse Puljujarvi0X100.008459878077628765254946622562630476502513,000,000$
7Hudson Fasching0X100.00734493657663826331494967755959050650282750,000$
8Lias Andersson0XX100.00757183787163636780424269655757050650242750,000$
9John Leonard (R)0XX100.00756792726777826150414164564444050650252750,000$
10Alex Steeves (R)0XX100.00736786666777816350434363574444050650232834,167$
11Denis Gurianov0XX100.006943948576648766254947622565660506402612,550,000$
12Wade Allison (R)0X100.00976882767764636229484866255050050640252785,000$
13Sonny Milano0X100.006742908370648565255248602563630506402711,700,000$
14Samuel Blais0XX100.009947878276616363335047607564660506302711,500,000$
15Evan Bouchard0X100.007744898273769981255347772561620507102321,596,667$
16Adam Boqvist0X100.006541948464776685255347652561610506902311,744,167$
17Trevor van Riemsdyk0X100.00615193807278916125504686257071050680321650,000$
18Nick Blankenburg (R)0X100.00824486786278606825514778254747050660252825,000$
19Pierre-Olivier Joseph0X100.00774483727067876625504669255656050640241825,000$
20Jordan Spence0X100.00696382806377825725474760394647050620221919,167$
21Ty Smith0X100.007064848464707359254141644858580506002321,263,333$
Rayé
1Mackenzie Entwistle0X100.00844592707062797053474668255858050650241800,000$
2Jean-Luc Foudy (R)0X100.00686478776473766480444461584444050650212894,167$
3Matej Blumel (R)0X100.00797197677171736450414167614444050650232925,000$
4Jake Leschyshyn0X100.00814492726653815176464563255454050600241927,500$
5Roland McKeown (R)0X100.00747181657174805025393961404444050580272762,500$
MOYENNE D’ÉQUIPE100.0076548877696980664148466740555505065
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 SPÂgeContratSalaire
1James Reimer47100.0064757483656269656564827172045680352650,000$
2Alex Lyon0100.0069545375776269697769754747036670302900,000$
3Eric Comrie0100.0060515165655480616560784848047630282650,000$
Rayé
1Jonas Johansson0100.0059435484645961656363954747050620281750,000$
MOYENNE D’ÉQUIPE100.006356587768597065686483535404565
Nom de l’entraîneur 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’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Luke EvangelistaJardiniers (WPT)RW307161132120601213147459448.30%756018.70761320653035243044.44%4511713094.7111000430
2Jacob PetersonJardiniers (WPT)C/LW3048711191202405534104375546.15%1566622.215914186615641260164.44%459027073.5701000332
3Morgan FrostJardiniers (WPT)C302987116120140504780265136.25%1367022.364711146651691302068.38%7976921033.4601000131
4Evan BouchardJardiniers (WPT)D3043691121441605452111776338.74%8182227.43391213762464109010%03286072.7200000313
5Adam BoqvistJardiniers (WPT)D3020587811320202588575222.73%3271823.96381116761455117110%02946022.1700000021
6Morgan GeekieJardiniers (WPT)C/RW302746737380283079344434.18%1437912.64000000110180073.33%2555015043.8501000002
7Nick BlankenburgJardiniers (WPT)D3026335980240474475453034.67%3660620.21044453112563000%01944031.9500000003
8Hudson FaschingJardiniers (WPT)RW302830586700201063274544.44%331210.4300000000001069.23%13447053.7111000001
9Noah GregorJardiniers (WPT)C/LW/RW3013385166200603950273526.00%1652617.552467630221320051.20%4183717001.9401000010
10Sonny MilanoJardiniers (WPT)LW301832504410014952264434.62%230010.02336644000010033.33%9505023.3300000000
11Trevor van RiemsdykJardiniers (WPT)D281034448120154642313023.81%4452418.75011334101440100%0948011.6800000110
12Jesse PuljujarviJardiniers (WPT)RW282122435118036554232938.89%72398.5500000000002050.00%10486043.5900000000
13Lias AnderssonJardiniers (WPT)C/LW3011324354180462942233626.19%736012.01101219000000071.43%563411012.3901000100
14Pierre-Olivier JosephJardiniers (WPT)D3012294184260231443212327.91%2337612.5600001000111100%01327002.1800000000
15Jean-Luc FoudyJardiniers (WPT)C207253227201541891438.89%31557.7600000000000059.14%93283004.1201000000
16John LeonardJardiniers (WPT)LW/RW3031821682040171562720.00%533911.32000000002170073.68%19147001.2411000000
17Jordan SpenceJardiniers (WPT)D28711186522015728191325.00%1538713.85112216000024200%01724000.9300000001
18Samuel BlaisJardiniers (WPT)LW/RW188101832120183166950.00%11327.38000000000110057.14%7163022.7100000000
19Alex SteevesJardiniers (WPT)LW/RW2035835401641041130.00%51477.3900000000000066.67%936001.0800000000
20Denis GurianovJardiniers (WPT)LW/RW202241003272228.57%2412.09213720011014000%071001.9100000000
21Ty SmithJardiniers (WPT)D2821320605241250.00%71033.700000000005000%001000.5800000000
Statistiques d’équipe totales ou en moyenne580409714112314652360592436112854670936.26%338837414.443153841126061419334074913363.68%17767264180502.6839000131414
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
1James ReimerJardiniers (WPT)105310.8334.2151301362161361000100000
2Eric ComrieJardiniers (WPT)115400.8055.1952000452311310000102000
3Alex LyonJardiniers (WPT)104310.8604.395202138271170000.8001089000
4Jonas JohanssonJardiniers (WPT)82200.8324.522520119113660000219000
Statistiques d’équipe totales ou en moyenne39161220.8344.5818072313883150310103030000


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam BoqvistJardiniers (WPT)D238/14/2000No179 Lbs180 CMNoNoN/ANoNo1Pro & Farm1,744,167$1,162,778$0$0$No------------------Lien / Lien NHL
Alex LyonJardiniers (WPT)G3012/8/1992No201 Lbs185 CMNoNoN/ANoNo2Pro & Farm900,000$600,000$0$0$No900,000$--------No--------Lien / Lien NHL
Alex SteevesJardiniers (WPT)LW/RW2312/10/1999Yes185 Lbs180 CMNoNoN/ANoNo2Pro & Farm834,167$556,111$0$0$No834,167$--------No--------Lien
Denis GurianovJardiniers (WPT)LW/RW266/7/1997No200 Lbs191 CMNoNoN/ANoNo1Pro & Farm2,550,000$1,700,000$0$0$No------------------Lien / Lien NHL
Eric ComrieJardiniers (WPT)G287/5/1995No175 Lbs185 CMNoNoN/ANoNo2Pro & Farm650,000$433,333$0$0$No650,000$--------No--------Lien / Lien NHL
Evan BouchardJardiniers (WPT)D2310/20/1999No194 Lbs191 CMNoNoN/ANoNo2Pro & Farm1,596,667$1,064,445$0$0$No1,596,667$--------No--------Lien
Hudson FaschingJardiniers (WPT)RW287/28/1995No209 Lbs188 CMNoNoN/ANoNo2Pro & Farm750,000$500,000$0$0$No750,000$--------No--------Lien
Jacob PetersonJardiniers (WPT)C/LW247/19/1999Yes170 Lbs185 CMNoNoN/ANoNo2Pro & Farm925,000$616,667$0$0$No925,000$--------No--------
Jake LeschyshynJardiniers (WPT)C243/10/1999No181 Lbs180 CMNoNoN/ANoNo1Pro & Farm927,500$618,333$0$0$No------------------Lien
James ReimerJardiniers (WPT)G353/15/1988No220 Lbs188 CMNoNoN/ANoNo2Pro & Farm650,000$433,333$0$0$No650,000$--------No--------Lien / Lien NHL
Jean-Luc FoudyJardiniers (WPT)C215/13/2002Yes177 Lbs180 CMNoNoN/ANoNo2Pro & Farm894,167$596,111$0$0$No894,167$--------No--------
Jesse PuljujarviJardiniers (WPT)RW255/7/1998No201 Lbs193 CMNoNoN/ANoNo1Pro & Farm3,000,000$2,000,000$0$0$No------------------Lien
John LeonardJardiniers (WPT)LW/RW258/7/1998Yes185 Lbs180 CMNoNoN/ANoNo2Pro & Farm750,000$500,000$0$0$No750,000$--------No--------Lien
Jonas JohanssonJardiniers (WPT)G289/18/1995No205 Lbs193 CMNoNoN/ANoNo1Pro & Farm750,000$500,000$0$0$No------------------Lien / Lien NHL
Jordan SpenceJardiniers (WPT)D222/24/2001No175 Lbs178 CMNoNoN/ANoNo1Pro & Farm919,167$612,778$0$0$No------------------Lien
Lias AnderssonJardiniers (WPT)C/LW2410/13/1998No190 Lbs185 CMNoNoN/ANoNo2Pro & Farm750,000$500,000$0$0$No750,000$--------No--------Lien / Lien NHL
Luke EvangelistaJardiniers (WPT)RW212/21/2002Yes166 Lbs180 CMNoNoN/ANoNo2Pro & Farm896,667$597,778$0$0$No896,667$--------No--------
Mackenzie EntwistleJardiniers (WPT)RW247/13/1999No181 Lbs191 CMNoNoN/ANoNo1Pro & Farm800,000$533,333$0$0$No------------------Lien
Matej BlumelJardiniers (WPT)LW235/31/2000Yes198 Lbs183 CMNoNoN/ANoNo2Pro & Farm925,000$616,667$0$0$No925,000$--------No--------Lien
Morgan FrostJardiniers (WPT)C245/14/1999No170 Lbs180 CMNoNoN/ANoNo1Pro & Farm863,333$575,555$0$0$No------------------Lien / Lien NHL
Morgan GeekieJardiniers (WPT)C/RW257/20/1998No168 Lbs188 CMNoNoN/ANoNo1Pro & Farm750,000$500,000$0$0$No------------------Lien / Lien NHL
Nick BlankenburgJardiniers (WPT)D255/12/1998Yes175 Lbs175 CMNoNoN/ANoNo2Pro & Farm825,000$550,000$0$0$No825,000$--------No--------Lien
Noah GregorJardiniers (WPT)C/LW/RW257/28/1998No185 Lbs183 CMNoNoN/ANoNo1Pro & Farm750,000$500,000$0$0$No------------------Lien / Lien NHL
Pierre-Olivier JosephJardiniers (WPT)D247/1/1999No185 Lbs188 CMNoNoN/ANoNo1Pro & Farm825,000$550,000$0$0$No------------------Lien
Roland McKeownJardiniers (WPT)D271/20/1996Yes194 Lbs185 CMNoNoN/ANoNo2Pro & Farm762,500$508,333$0$0$No762,500$--------No--------Lien
Samuel BlaisJardiniers (WPT)LW/RW276/17/1996No205 Lbs188 CMNoNoN/ANoNo1Pro & Farm1,500,000$1,000,000$0$0$No------------------Lien / Lien NHL
Sonny MilanoJardiniers (WPT)LW275/12/1996No194 Lbs183 CMNoNoN/ANoNo1Pro & Farm1,700,000$1,133,333$0$0$No------------------Lien / Lien NHL
Trevor van RiemsdykJardiniers (WPT)D327/24/1991No192 Lbs188 CMNoNoN/ANoNo1Pro & Farm650,000$433,333$0$0$No------------------Lien / Lien NHL
Ty SmithJardiniers (WPT)D233/23/2000No176 Lbs180 CMNoNoN/ANoNo2Pro & Farm1,263,333$842,222$0$0$No1,263,333$--------No--------Lien
Wade AllisonJardiniers (WPT)RW2510/14/1997Yes205 Lbs188 CMNoNoN/ANoNo2Pro & Farm785,000$523,333$0$0$No785,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3025.37188 Lbs185 CM1.531,062,889$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob PetersonMorgan FrostLuke Evangelista40122
2Sonny MilanoNoah GregorSamuel Blais30122
3John LeonardMorgan GeekieHudson Fasching20122
4Alex SteevesLias AnderssonJesse Puljujarvi10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Evan BouchardAdam Boqvist40122
2Trevor van RiemsdykNick Blankenburg30122
3Pierre-Olivier JosephJordan Spence20122
4Ty SmithEvan Bouchard10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob PetersonMorgan FrostLuke Evangelista60122
2Sonny MilanoNoah GregorDenis Gurianov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Evan BouchardAdam Boqvist60122
2Jordan SpenceNick Blankenburg40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Morgan FrostJacob Peterson60122
2Luke EvangelistaNoah Gregor40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Evan BouchardAdam Boqvist60122
2Jordan SpenceNick Blankenburg40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Morgan Frost60122Evan BouchardAdam Boqvist60122
2Jacob Peterson40122Jordan SpenceNick Blankenburg40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Morgan FrostJacob Peterson60122
2Luke EvangelistaNoah Gregor40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Evan BouchardAdam Boqvist60122
2Jordan SpenceNick Blankenburg40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob PetersonMorgan FrostLuke EvangelistaEvan BouchardAdam Boqvist
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob PetersonMorgan FrostLuke EvangelistaEvan BouchardAdam Boqvist
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Denis Gurianov, Sonny Milano, Luke EvangelistaDenis Gurianov, Sonny MilanoLuke Evangelista
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Pierre-Olivier Joseph, Jordan Spence, Ty SmithPierre-Olivier JosephJordan Spence, Ty Smith
Tirs de pénalité
Morgan Frost, Jacob Peterson, Luke Evangelista, Noah Gregor, Jesse Puljujarvi
Gardien
#1 : James Reimer, #2 : Alex Lyon, #3 : Eric Comrie


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
TotalDomicileVisiteur
# 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
1Barbus20100010813-5100000106511010000028-620.500812200019113710837844938436812633116508337.50%8362.50%030954456.80%28646561.51%54578769.25%819587558200429239
2Barracuda22000000613581100000031229110000003012941.0006111017100191137108398449384368121251251000%6266.67%130954456.80%28646561.51%54578769.25%819587558200429239
3Benchwarmers2100010014113110000008441000010067-130.75014223600191137108356449384368126331203410440.00%10550.00%230954456.80%28646561.51%54578769.25%819587558200429239
4Caribou22000000696631100000036333110000003333041.00069116185001911371083106449384368123823124533100.00%60100.00%430954456.80%28646561.51%54578769.25%819587558200429239
5Casse-Tete202000001018-81010000069-31010000049-500.00010192900191137108379449384368127730263533100.00%13746.15%030954456.80%28646561.51%54578769.25%819587558200429239
6Chevalier20100100812-41010000069-31000010023-110.250815230019113710836844938436812773024398112.50%12375.00%030954456.80%28646561.51%54578769.25%819587558200429239
7Diabotins2200000010201021100000050050110000005205241.00010217627802191137108310244938436812142838000%40100.00%130954456.80%28646561.51%54578769.25%819587558200429239
8Hooligans22000000913881100000043142110000004824641.0009115124200191137108391449384368123616124111100.00%60100.00%430954456.80%28646561.51%54578769.25%819587558200429239
9Hybrides21100000712-51010000028-61100000054120.500712190019113710837344938436812752814459333.33%7271.43%030954456.80%28646561.51%54578769.25%819587558200429239
10Knights220000002121911000000150151100000062441.0002137580119113710838444938436812301110397342.86%5180.00%030954456.80%28646561.51%54578769.25%819587558200429239
11Leftovers202000001117-61010000059-41010000068-200.0001116270019113710838144938436812742622475360.00%11645.45%030954456.80%28646561.51%54578769.25%819587558200429239
12Pirates220000001147110000007161100000043141.0001117280019113710837344938436812632420446233.33%10370.00%230954456.80%28646561.51%54578769.25%819587558200429239
13Requins20200000515-101010000046-21010000019-800.000581300191137108385449384368127831203814214.29%10640.00%030954456.80%28646561.51%54578769.25%819587558200429239
14Vagabond211000001192110000009451010000025-320.5001114250019113710836644938436812562014399222.22%7271.43%030954456.80%28646561.51%54578769.25%819587558200429239
15Werewolves20200000813-51010000034-11010000059-400.0008152300191137108363449384368127535223610550.00%11372.73%030954456.80%28646561.51%54578769.25%819587558200429239
Total301512002104371382991586000102316516615760020020673133340.5674377401177031911371083120344938436812831343252621933537.63%1264365.87%1430954456.80%28646561.51%54578769.25%819587558200429239
_Since Last GM Reset301512002104371382991586000102316516615760020020673133340.5674377401177031911371083120344938436812831343252621933537.63%1264365.87%1430954456.80%28646561.51%54578769.25%819587558200429239
_Vs Conference148500100245591867520000012625101733001001193485170.60724540464902191137108355444938436812384150116281451431.11%582262.07%930954456.80%28646561.51%54578769.25%819587558200429239
_Vs Division852001003449-15431000002325-2421001001124-13110.688345993001911371083305449384368122951159015631825.81%451957.78%230954456.80%28646561.51%54578769.25%819587558200429239

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3034W14377401177120383134325262103
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3015120210437138
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1586001023165
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1576020020673
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
933537.63%1264365.87%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
449384368121911371083
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
30954456.80%28646561.51%54578769.25%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
819587558200429239


Derniers matchs 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
2 - 2023-10-107Barbus5Jardiniers6BWXXSommaire du match
4 - 2023-10-1214Jardiniers5Hybrides4AWSommaire du match
6 - 2023-10-1421Knights0Jardiniers15BWSommaire du match
8 - 2023-10-1632Jardiniers2Chevalier3ALXSommaire du match
10 - 2023-10-1839Casse-Tete9Jardiniers6BLSommaire du match
12 - 2023-10-2048Jardiniers1Requins9ALSommaire du match
14 - 2023-10-2255Pirates1Jardiniers7BWSommaire du match
16 - 2023-10-2463Werewolves4Jardiniers3BLSommaire du match
18 - 2023-10-2670Jardiniers52Diabotins0AWSommaire du match
20 - 2023-10-2877Benchwarmers4Jardiniers8BWSommaire du match
21 - 2023-10-2984Caribou3Jardiniers36BWSommaire du match
23 - 2023-10-3191Barracuda2Jardiniers31BWSommaire du match
25 - 2023-11-0298Jardiniers6Leftovers8ALSommaire du match
27 - 2023-11-04105Vagabond4Jardiniers9BWSommaire du match
30 - 2023-11-07120Jardiniers48Hooligans2AWSommaire du match
32 - 2023-11-09127Jardiniers2Barbus8ALSommaire du match
34 - 2023-11-11134Hybrides8Jardiniers2BLSommaire du match
36 - 2023-11-13141Jardiniers6Knights2AWSommaire du match
38 - 2023-11-15152Chevalier9Jardiniers6BLSommaire du match
40 - 2023-11-17159Jardiniers4Casse-Tete9ALSommaire du match
42 - 2023-11-19168Requins6Jardiniers4BLSommaire du match
44 - 2023-11-21175Jardiniers4Pirates3AWSommaire du match
46 - 2023-11-23183Jardiniers5Werewolves9ALSommaire du match
48 - 2023-11-25190Diabotins0Jardiniers50BWSommaire du match
50 - 2023-11-27197Jardiniers6Benchwarmers7ALXSommaire du match
51 - 2023-11-28204Jardiniers33Caribou3AWSommaire du match
53 - 2023-11-30211Jardiniers30Barracuda1AWSommaire du match
55 - 2023-12-02218Leftovers9Jardiniers5BLSommaire du match
57 - 2023-12-04225Jardiniers2Vagabond5ALSommaire du match
60 - 2023-12-07240Hooligans1Jardiniers43BWSommaire du match
62 - 2023-12-09247Barbus-Jardiniers-
64 - 2023-12-11254Jardiniers-Hybrides-
66 - 2023-12-13261Knights-Jardiniers-
68 - 2023-12-15272Jardiniers-Chevalier-
70 - 2023-12-17279Casse-Tete-Jardiniers-
72 - 2023-12-19288Jardiniers-Requins-
74 - 2023-12-21295Pirates-Jardiniers-
76 - 2023-12-23303Werewolves-Jardiniers-
78 - 2023-12-25310Jardiniers-Diabotins-
80 - 2023-12-27317Benchwarmers-Jardiniers-
81 - 2023-12-28324Caribou-Jardiniers-
83 - 2023-12-30331Barracuda-Jardiniers-
85 - 2024-01-01338Jardiniers-Leftovers-
87 - 2024-01-03345Vagabond-Jardiniers-
90 - 2024-01-06360Jardiniers-Hooligans-
92 - 2024-01-08367Jardiniers-Barbus-
94 - 2024-01-10374Hybrides-Jardiniers-
96 - 2024-01-12381Jardiniers-Knights-
98 - 2024-01-14392Chevalier-Jardiniers-
100 - 2024-01-16399Jardiniers-Casse-Tete-
102 - 2024-01-18408Requins-Jardiniers-
104 - 2024-01-20415Jardiniers-Pirates-
106 - 2024-01-22423Jardiniers-Werewolves-
108 - 2024-01-24430Diabotins-Jardiniers-
110 - 2024-01-26437Jardiniers-Benchwarmers-
111 - 2024-01-27444Jardiniers-Caribou-
113 - 2024-01-29451Jardiniers-Barracuda-
115 - 2024-01-31458Leftovers-Jardiniers-
117 - 2024-02-02465Jardiniers-Vagabond-
120 - 2024-02-05480Hooligans-Jardiniers-
122 - 2024-02-07487Barbus-Jardiniers-
124 - 2024-02-09494Jardiniers-Hybrides-
126 - 2024-02-11501Knights-Jardiniers-
128 - 2024-02-13512Jardiniers-Chevalier-
130 - 2024-02-15519Casse-Tete-Jardiniers-
132 - 2024-02-17528Jardiniers-Requins-
134 - 2024-02-19535Pirates-Jardiniers-
136 - 2024-02-21543Werewolves-Jardiniers-
138 - 2024-02-23550Jardiniers-Diabotins-
140 - 2024-02-25557Benchwarmers-Jardiniers-
141 - 2024-02-26564Caribou-Jardiniers-
143 - 2024-02-28571Barracuda-Jardiniers-
145 - 2024-03-01578Jardiniers-Leftovers-
147 - 2024-03-03585Vagabond-Jardiniers-
150 - 2024-03-06600Jardiniers-Hooligans-
152 - 2024-03-08607Jardiniers-Barbus-
154 - 2024-03-10614Hybrides-Jardiniers-
156 - 2024-03-12621Jardiniers-Knights-
158 - 2024-03-14632Chevalier-Jardiniers-
160 - 2024-03-16639Jardiniers-Casse-Tete-
162 - 2024-03-18648Requins-Jardiniers-
164 - 2024-03-20655Jardiniers-Pirates-
166 - 2024-03-22663Jardiniers-Werewolves-
168 - 2024-03-24670Diabotins-Jardiniers-
170 - 2024-03-26677Jardiniers-Benchwarmers-
171 - 2024-03-27684Jardiniers-Caribou-
173 - 2024-03-29691Jardiniers-Barracuda-
175 - 2024-03-31698Leftovers-Jardiniers-
177 - 2024-04-02705Jardiniers-Vagabond-
180 - 2024-04-05720Hooligans-Jardiniers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,254,225$ 3,188,668$ 3,094,001$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
17,715$ 1,254,225$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 120 17,715$ 2,125,800$




Jardiniers Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Jardiniers Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Jardiniers Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Jardiniers Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Jardiniers Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA