Connexion

Jardiniers
GP: 10 | W: 4 | L: 6
GF: 39 | GA: 48 | PP%: 27.08% | PK%: 68.42%
DG: Karl Wasilkowski | Morale : 50 | Moyenne d’équipe : 65
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Centre de jeu
Requins
12-3-0, 24pts
3
FINAL
1 Jardiniers
4-6-0, 8pts
Team Stats
W1SéquenceL4
8-0-0Fiche domicile3-2-0
4-3-0Fiche domicile1-4-0
7-2-1Derniers 10 matchs4-6-0
3.67Buts par match 3.90
2.07Buts contre par match 4.80
33.33%Pourcentage en avantage numérique27.08%
78.41%Pourcentage en désavantage numérique68.42%
Requins
12-3-0, 24pts
4
FINAL
1 Jardiniers
4-6-0, 8pts
Team Stats
W1SéquenceL4
8-0-0Fiche domicile3-2-0
4-3-0Fiche domicile1-4-0
7-2-1Derniers 10 matchs4-6-0
3.67Buts par match 3.90
2.07Buts contre par match 4.80
33.33%Pourcentage en avantage numérique27.08%
78.41%Pourcentage en désavantage numérique68.42%
Meneurs d'équipe
Morgan FrostButs
Morgan Frost
5
Denis GurianovPasses
Denis Gurianov
11
Denis GurianovPoints
Denis Gurianov
13
Morgan GeekiePlus/Moins
Morgan Geekie
0
Alex LyonVictoires
Alex Lyon
4
Alex LyonPourcentage d’arrêts
Alex Lyon
0.861

Statistiques d’équipe
Buts pour
39
3.90 GFG
Tirs pour
326
32.60 Avg
Pourcentage en avantage numérique
27.1%
13 GF
Début de zone offensive
36.9%
Buts contre
48
4.80 GAA
Tirs contre
325
32.50 Avg
Pourcentage en désavantage numérique
68.4%%
12 GA
Début de la zone défensive
36.6%
Informations de l'équipe

Directeur généralKarl Wasilkowski
DivisionBeliveau
ConférenceConference 2
Capitaine
Assistant #1Adam Boqvist
Assistant #2Morgan Geekie


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure25
Limite contact 53 / 60
Espoirs42


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 Frost0X100.00754390856373977680524965536060047690241863,333$
2Jacob Peterson (R)0XX100.00754389816576858344554867754546050690242925,000$
3Noah Gregor0XXX100.00826683776964816135484870256161050660251750,000$
4Morgan Geekie (A)0XX100.00716289746557885878514774256162050660251750,000$
5Jesse Puljujarvi0X100.008459878077628765254946622562630476502513,000,000$
6Hudson Fasching0X100.00734493657663826331494967755959050650282750,000$
7Lias Andersson0XX100.00757183787163636780424269655757050650242750,000$
8John Leonard (R)0XX100.00756792726777826150414164564444050650252750,000$
9Alex Steeves (R)0XX100.00736786666777816350434363574444050650232834,167$
10Denis Gurianov0XX100.006943948576648766254947622565660506402612,550,000$
11Wade Allison (R)0X100.00976882767764636229484866255050050640252785,000$
12Sonny Milano0X100.006742908370648565255248602563630506402711,700,000$
13Samuel Blais0XX100.009947878276616363335047607564660506302711,500,000$
14Adam Boqvist (A)0X100.006541948464776685255347652561610506902311,744,167$
15Trevor van Riemsdyk0X100.00615193807278916125504686257071050680321650,000$
16Nick Blankenburg (R)0X100.00824486786278606825514778254747050660252825,000$
17Pierre-Olivier Joseph0X100.00774483727067876625504669255656050640241825,000$
18Jordan Spence0X100.00696382806377825725474760394647050620221919,167$
19Ty Smith0X100.007064848464707359254141644858580506002321,263,333$
20Roland McKeown (R)0X100.00747181657174805025393961404444050580272762,500$
Rayé
1Mackenzie Entwistle0X100.00844592707062797053474668255858050650241800,000$
2Jean-Luc Foudy (R)0X100.00686478776473766480444461584444050650212894,167$
3Matej Blumel (R)0X100.00797197677171736450414167614444050650232925,000$
4Jake Leschyshyn0X100.00814492726653815176464563255454050600241927,500$
MOYENNE D’ÉQUIPE100.0076558876696979654247466642555505065
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
1Denis GurianovJardiniers (WPT)LW/RW1021113-10010131842011.11%416016.04246534000250055.56%9219001.6200000200
2Adam BoqvistJardiniers (WPT)D105712-70061841142612.20%2226526.523471243000038200%02116000.9100000101
3Jacob PetersonJardiniers (WPT)C/LW103912-54011143613348.33%920920.9223514380001410050.00%8249001.1500000002
4Morgan FrostJardiniers (WPT)C8538-64091829152017.24%316921.211236340001290053.93%191185000.9400000010
5Jesse PuljujarviJardiniers (WPT)RW10167-100165159126.67%114714.79044233000000033.33%3165000.9500000000
6Trevor van RiemsdykJardiniers (WPT)D10336-2006112181114.29%1316916.9700011300006000%0513000.7100000001
7Nick BlankenburgJardiniers (WPT)D10235-140131623978.70%1917617.6800000000020000%01413000.5700000000
8Morgan GeekieJardiniers (WPT)C/RW1041500014251931121.05%718318.322136350000131065.47%13948000.5500000010
9Sonny MilanoJardiniers (WPT)LW10235-160922711197.41%613213.2100002000000050.00%4251000.7600000000
10Noah GregorJardiniers (WPT)C/LW/RW1022406012111511913.33%414014.0900000000180045.87%10994000.5700000000
11Pierre-Olivier JosephJardiniers (WPT)D10224-1140510139315.38%1312612.640000100000000%0412000.6300000000
12Hudson FaschingJardiniers (WPT)RW1022404056157713.33%612712.7900000000000055.56%934000.6300000000
13Evan BouchardWarpathD32131004843250.00%106722.631122800004000%027000.8800000010
14Wade AllisonJardiniers (WPT)RW10123-680179104810.00%614714.70011227000000033.33%948000.4100000000
15Samuel BlaisJardiniers (WPT)LW/RW8033-2006356120%2749.280000000000000%0102000.8100000000
16Alex SteevesJardiniers (WPT)LW/RW10123-38068102310.00%010810.86000111000001025.00%415000.5500000000
17Ty SmithJardiniers (WPT)D10112-91005872314.29%413113.15101232000114000%0111000.3000000000
18Jordan SpenceJardiniers (WPT)D10112-3607857620.00%818218.21112228000119000%068000.2200000000
19Lias AnderssonJardiniers (WPT)C/LW10011-440159105100%411811.81000000000180065.71%70109000.1700000000
20John LeonardJardiniers (WPT)LW/RW2000000013010%1168.460000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1813963102-5178017620332614222411.96%142285515.781321345534600072194056.04%555198149000.7100000334
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)84300.8614.484290032230134100082000
2James ReimerJardiniers (WPT)40300.8325.6517000169550100028000
Statistiques d’équipe totales ou en moyenne124600.8524.8060000483251842001010000


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 Forcer UFA Rappel d'urgence 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/ANoNo1FalseFalsePro & Farm1,744,167$0$0$No------------------Lien / Lien NHL
Alex LyonJardiniers (WPT)G3012/8/1992No201 Lbs185 CMNoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------No--------Lien / Lien NHL
Alex SteevesJardiniers (WPT)LW/RW2312/10/1999Yes185 Lbs180 CMNoNoN/ANoNo2FalseFalsePro & Farm834,167$0$0$No834,167$--------No--------Lien
Denis GurianovJardiniers (WPT)LW/RW266/7/1997No200 Lbs191 CMNoNoN/ANoNo1FalseFalsePro & Farm2,550,000$0$0$No------------------Lien / Lien NHL
Eric ComrieJardiniers (WPT)G287/5/1995No175 Lbs185 CMNoNoN/ANoNo2FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------Lien / Lien NHL
Hudson FaschingJardiniers (WPT)RW287/28/1995No209 Lbs188 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------No--------Lien
Jacob PetersonJardiniers (WPT)C/LW247/19/1999Yes170 Lbs185 CMNoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------No--------
Jake LeschyshynJardiniers (WPT)C243/10/1999No181 Lbs180 CMNoNoN/ANoNo1FalseFalsePro & Farm927,500$0$0$No------------------Lien
James ReimerJardiniers (WPT)G353/15/1988No220 Lbs188 CMNoNoN/ANoNo2FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------Lien / Lien NHL
Jean-Luc FoudyJardiniers (WPT)C215/13/2002Yes177 Lbs180 CMNoNoN/ANoNo2FalseFalsePro & Farm894,167$0$0$No894,167$--------No--------
Jesse PuljujarviJardiniers (WPT)RW255/7/1998No201 Lbs193 CMNoNoN/ANoNo1FalseFalsePro & Farm3,000,000$0$0$No------------------Lien
John LeonardJardiniers (WPT)LW/RW258/7/1998Yes185 Lbs180 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------No--------Lien
Jonas JohanssonJardiniers (WPT)G289/18/1995No205 Lbs193 CMNoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Jordan SpenceJardiniers (WPT)D222/24/2001No175 Lbs178 CMNoNoN/ANoNo1FalseFalsePro & Farm919,167$0$0$No------------------Lien
Lias AnderssonJardiniers (WPT)C/LW2410/13/1998No190 Lbs185 CMNoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------No--------Lien / Lien NHL
Mackenzie EntwistleJardiniers (WPT)RW247/13/1999No181 Lbs191 CMNoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No------------------Lien
Matej BlumelJardiniers (WPT)LW235/31/2000Yes198 Lbs183 CMNoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------No--------Lien
Morgan FrostJardiniers (WPT)C245/14/1999No170 Lbs180 CMNoNoN/ANoNo1FalseFalsePro & Farm863,333$0$0$No------------------Lien / Lien NHL
Morgan GeekieJardiniers (WPT)C/RW257/20/1998No168 Lbs188 CMNoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Nick BlankenburgJardiniers (WPT)D255/12/1998Yes175 Lbs175 CMNoNoN/ANoNo2FalseFalsePro & Farm825,000$0$0$No825,000$--------No--------Lien
Noah GregorJardiniers (WPT)C/LW/RW257/28/1998No185 Lbs183 CMNoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Pierre-Olivier JosephJardiniers (WPT)D247/1/1999No185 Lbs188 CMNoNoN/ANoNo1FalseFalsePro & Farm825,000$0$0$No------------------Lien
Roland McKeownJardiniers (WPT)D271/20/1996Yes194 Lbs185 CMNoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien
Samuel BlaisJardiniers (WPT)LW/RW276/17/1996No205 Lbs188 CMNoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No------------------Lien / Lien NHL
Sonny MilanoJardiniers (WPT)LW275/12/1996No194 Lbs183 CMNoNoN/ANoNo1FalseFalsePro & Farm1,700,000$0$0$No------------------Lien / Lien NHL
Trevor van RiemsdykJardiniers (WPT)D327/24/1991No192 Lbs188 CMNoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No------------------Lien / Lien NHL
Ty SmithJardiniers (WPT)D233/23/2000No176 Lbs180 CMNoNoN/ANoNo2FalseFalsePro & Farm1,263,333$0$0$No1,263,333$--------No--------Lien
Wade AllisonJardiniers (WPT)RW2510/14/1997Yes205 Lbs188 CMNoNoN/ANoNo2FalseFalsePro & Farm785,000$0$0$No785,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2825.61189 Lbs185 CM1.501,049,762$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob PetersonMorgan FrostDenis Gurianov40113
2Alex SteevesMorgan GeekieJesse Puljujarvi30113
3Sonny MilanoNoah GregorHudson Fasching20122
4Wade AllisonLias AnderssonJohn Leonard10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty SmithAdam Boqvist30122
2Trevor van RiemsdykNick Blankenburg30122
3Pierre-Olivier JosephJordan Spence30122
4Ty SmithAdam Boqvist10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob PetersonMorgan FrostAlex Steeves60122
2Denis GurianovMorgan GeekieJesse Puljujarvi40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Trevor van RiemsdykAdam Boqvist60122
2Jordan SpenceTy Smith40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Morgan FrostJacob Peterson60122
2Lias AnderssonNoah Gregor40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Trevor van RiemsdykAdam Boqvist60122
2Jordan SpenceNick Blankenburg40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Morgan Geekie60122Trevor van RiemsdykAdam Boqvist60122
2Jacob Peterson40122Jordan SpenceNick Blankenburg40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Morgan GeekieJacob Peterson60122
2Lias AnderssonNoah Gregor40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Trevor van RiemsdykAdam Boqvist60122
2Jordan SpenceNick Blankenburg40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob PetersonMorgan FrostJesse PuljujarviPierre-Olivier JosephAdam Boqvist
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob PetersonMorgan GeekieJesse PuljujarviTy SmithAdam Boqvist
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Denis Gurianov, Sonny Milano, Lias AnderssonDenis Gurianov, Sonny MilanoLias Andersson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Pierre-Olivier Joseph, Jordan Spence, Ty SmithPierre-Olivier JosephJordan Spence, Ty Smith
Tirs de pénalité
Morgan Geekie, Jacob Peterson, Lias Andersson, 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
1Requins40400000417-132020000027-520200000210-800.00045900131412013810211710701254828792328.70%14564.29%011520556.10%10620352.22%9014761.22%2241412258115075
2Vagabond64200000353143300000022913312000001322-980.6673558930013141201881021171070200945097251144.00%24770.83%011520556.10%10620352.22%9014761.22%2241412258115075
Total1046000003948-95320000024168514000001532-1780.4003963102001314120326102117107032514278176481327.08%381268.42%011520556.10%10620352.22%9014761.22%2241412258115075
_Since Last GM Reset1046000003948-95320000024168514000001532-1780.4003963102001314120326102117107032514278176481327.08%381268.42%011520556.10%10620352.22%9014761.22%2241412258115075
_Vs Conference1046000003948-95320000024168514000001532-1780.4003963102001314120326102117107032514278176481327.08%381268.42%011520556.10%10620352.22%9014761.22%2241412258115075
_Vs Division40400000417-132020000027-520200000210-800.00045900131412013810211710701254828792328.70%14564.29%011520556.10%10620352.22%9014761.22%2241412258115075

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
108L439631023263251427817600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
104600003948
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53200002416
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
51400001532
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
481327.08%381268.42%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
10211710701314120
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
11520556.10%10620352.22%9014761.22%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2241412258115075


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 - 2024-04-084Jardiniers5Vagabond3WSommaire du match
4 - 2024-04-108Jardiniers5Vagabond10LSommaire du match
6 - 2024-04-1212Vagabond1Jardiniers9WSommaire du match
8 - 2024-04-1416Vagabond2Jardiniers5WSommaire du match
10 - 2024-04-1620Jardiniers3Vagabond9LSommaire du match
12 - 2024-04-1824Vagabond6Jardiniers8WSommaire du match
16 - 2024-04-2230Jardiniers1Requins4LSommaire du match
18 - 2024-04-2432Jardiniers1Requins6LSommaire du match
20 - 2024-04-2634Requins3Jardiniers1LSommaire du match
22 - 2024-04-2836Requins4Jardiniers1LSommaire du match



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
40 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,939,334$ 2,844,667$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




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