Jardiniers
GP: 3 | W: 1 | L: 2
GF: 11 | GA: 12 | PP%: 18.18% | PK%: 77.78%
DG: Karl Wasilkowski | Morale : 50 | Moyenne d’équipe : 62
Prochain matchs #15 vs Requins
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Centre de jeu
Requins
2-1-0, 4pts
4
FINAL
6 Jardiniers
1-2-0, 2pts
Team Stats
W1StreakOTL1
1-0-0Home Record1-1-0
1-1-0Away Record0-1-0
2-1-0Last 10 Games1-1-1
4.00Goals Per Game3.67
3.67Goals Against Per Game4.00
22.22%Power Play Percentage18.18%
81.82%Penalty Kill Percentage77.78%
Jardiniers
1-2-0, 2pts
3
FINAL
4 Requins
2-1-0, 4pts
Team Stats
OTL1StreakW1
1-1-0Home Record1-0-0
0-1-0Away Record1-1-0
1-1-1Last 10 Games2-1-0
3.67Goals Per Game4.00
4.00Goals Against Per Game3.67
18.18%Power Play Percentage22.22%
77.78%Penalty Kill Percentage81.82%
Jardiniers
1-2-0, 2pts
2021-04-22
Requins
2-1-0, 4pts
Statistiques d’équipe
OTL1SéquenceW1
1-1-0Fiche domicile1-0-0
0-1-0Fiche visiteur1-1-0
1-1-110 derniers matchs2-1-0
3.67Buts par match 4.00
4.00Buts contre par match 3.67
18.18%Pourcentage en avantage numérique22.22%
77.78%Pourcentage en désavantage numérique81.82%
Requins
2-1-0, 4pts
2021-04-24
Jardiniers
1-2-0, 2pts
Statistiques d’équipe
W1SéquenceOTL1
1-0-0Fiche domicile1-1-0
1-1-0Fiche visiteur0-1-0
2-1-010 derniers matchs1-1-1
4.00Buts par match 3.67
3.67Buts contre par match 4.00
22.22%Pourcentage en avantage numérique18.18%
81.82%Pourcentage en désavantage numérique77.78%
Jardiniers
1-2-0, 2pts
2021-04-26
Requins
2-1-0, 4pts
Statistiques d’équipe
OTL1SéquenceW1
1-1-0Fiche domicile1-0-0
0-1-0Fiche visiteur1-1-0
1-1-110 derniers matchs2-1-0
3.67Buts par match 4.00
4.00Buts contre par match 3.67
18.18%Pourcentage en avantage numérique22.22%
77.78%Pourcentage en désavantage numérique81.82%
Meneurs d'équipe
Thatcher DemkoVictoires
Thatcher Demko
1
Thatcher DemkoPourcentage d’arrêts
Thatcher Demko
0.85

Statistiques d’équipe
Buts pour
11
3.67 GFG
Tirs pour
98
32.67 Avg
Pourcentage en avantage numérique
18.2%
2 GF
Début de zone offensive
37.5%
Buts contre
12
4.00 GAA
Tirs contre
80
26.67 Avg
Pourcentage en désavantage numérique
77.8%
2 GA
Début de la zone défensive
33.6%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro25
Équipe Mineure24
Limite contact 49 / 60
Espoirs58


Historique d'équipe

Saison actuelle1-2
Historique266-124-40 (0.619%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)15-9
Stanley Cup0


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
1Colin White0X100.006848848167718469605248555364640506602311,491,666$
2Morgan Geekie (R)0X100.00696773626778826480414162634444050660222800,000$
3Josh Leivo0X100.006642937178687369465148587561610506502711,500,000$
4Austin Poganski (R)0X100.00807590657573776050414166544444050650242762,500$
5Nicholas Merkley (R)0XXX100.007368857968676962784242635544440506302321,075,833$
6Joshua Ho-Sang (R)0X100.00686091776463626152434367544444050620242874,125$
7Ryan MacInnis (R)0X100.00755494647161805350454365254444049610242874,125$
8Sonny Milano0X100.00695084837364635833484560255253050610242874,125$
9Vladislav Kamenev0X100.00734390807252566050494569255151050600241894,167$
10Matthew Highmore0XX100.00785291706657625837474563254747050600242925,000$
11Noah Gregor (R)0XXX100.00834490776856755836474755254646050590222850,000$
12Anton Wedin (R)0XX100.00766991666956556050404064564444050590272925,000$
13Tomas Jurco0X100.00655186777055515847474456256263050580271990,000$
14Marcus Pettersson0X100.00796183817175946725443875256061049650242874,125$
15Adam Boqvist (R)0X100.007142948064697274254340602547470506102021,744,167$
16Mirco Mueller0X100.007852876879736958254138762560610496102521,400,000$
17Madison Bowey0X100.00764279777372696025433966255757050600251650,000$
18Connor Carrick0X100.007256837770665657254338672565650505902611,500,000$
19Ian McCoshen0X100.008077736080677751403333693850500505602511,025,000$
20Jake Walman (R)0X100.00726582716573795225323262464848050560242925,000$
Rayé
MOYENNE D’ÉQUIPE100.0074568673716670604344426438525205061
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
1Thatcher Demko100.0065586581636664667061754747050660
2Jonas Johansson100.0062607284666663676561304444047650
3Alex Lyon100.0062688575626754666561304545050650
Rayé
1Marcus Hogberg100.0063717387715959636266754646050640
2Hunter Miska100.0057567263616055615762304444050600
MOYENNE D’ÉQUIPE100.006263737865645965646248454504964
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
1Colin WhiteJardiniers (WPT)C3246220311121118.18%05819.61011480110100036.07%61140002.0400000100
2Josh LeivoJardiniers (WPT)LW31452002252620.00%05317.770111800003000.00%170001.8800000010
3Madison BoweyJardiniers (WPT)D3022200446520.00%35016.820000401106000.00%015000.7900000001
4Vladislav KamenevJardiniers (WPT)LW31121002150720.00%2289.4500000000000066.67%674001.4100000000
5Morgan GeekieJardiniers (WPT)C3202020861331515.38%106020.20101191012100057.14%2843000.6600000000
6Joshua Ho-SangJardiniers (WPT)RW31121001081912.50%03712.4100004000000080.00%571001.0700000000
7Adam BoqvistJardiniers (WPT)D3011200414760.00%25618.680001500006000.00%020000.3600000000
8Marcus PetterssonJardiniers (WPT)D21012204354520.00%55025.300000500008000.00%013000.4000000000
9Nicholas MerkleyJardiniers (WPT)C/LW/RW3011020635260.00%03712.4800014000000066.67%643000.5300000000
10Matthew HighmoreJardiniers (WPT)C/LW31011001053120.00%1227.4200000000001038.46%1340000.9000000000
11Austin PoganskiJardiniers (WPT)RW31012003460116.67%15317.7710138000030050.00%203000.3800000000
12Mirco MuellerJardiniers (WPT)D2011220372240.00%44623.440001500008000.00%003000.4300000000
13Sonny MilanoJardiniers (WPT)LW3101-3603176314.29%03411.4700000000000066.67%3112000.5800000000
14Noah GregorJardiniers (WPT)C/LW/RW3000-320628040.00%13110.5800000000000050.00%293000.0000000000
15Ian McCoshenJardiniers (WPT)D3000-300602210.00%33511.680000000002000.00%001000.0000000000
16Ryan MacInnisJardiniers (WPT)C2000-400041230.00%02713.5500000000030029.41%1701000.0000000000
17Anton WedinJardiniers (WPT)LW/RW3000100102130.00%1206.730000000000000.00%010000.0000000000
18Tomas JurcoJardiniers (WPT)RW3000000000100.00%000.080000000000000.00%000000.0000000000
19Connor CarrickJardiniers (WPT)D3000-300011320.00%23612.030000000000000.00%003000.0000000000
20Jake WalmanJardiniers (WPT)D3000000100000.00%293.250000000000000.00%012000.0000000000
Statistiques d’équipe totales ou en moyenne571115262180584096468911.46%3774913.1522412661232631044.44%1447337000.6900000111
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
1Thatcher DemkoJardiniers (WPT)31110.8504.0018000128041100.000031000
Statistiques d’équipe totales ou en moyenne31110.8504.0018000128041100.000031000


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 Type Salaire actuel Salaire restantPlafond salarial 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 10Link
Adam BoqvistJardiniers (WPT)D202000-08-14Yes179 Lbs180 CMNoNoNo2Pro & Farm1,744,167$996,666$0$0$No1,744,167$Lien / Lien NHL
Alex LyonJardiniers (WPT)G271992-12-08No201 Lbs185 CMNoNoNo1Pro & Farm750,000$428,571$0$0$NoLien / Lien NHL
Anton WedinJardiniers (WPT)LW/RW271993-03-01Yes194 Lbs180 CMNoNoNo2Pro & Farm925,000$528,571$0$0$No925,000$Lien / Lien NHL
Austin PoganskiJardiniers (WPT)RW241996-02-16Yes201 Lbs188 CMNoNoNo2Pro & Farm762,500$435,714$0$0$No762,500$Lien / Lien NHL
Colin WhiteJardiniers (WPT)C231997-01-30No183 Lbs183 CMNoNoNo1Pro & Farm1,491,666$852,380$0$0$NoLien / Lien NHL
Connor CarrickJardiniers (WPT)D261994-04-13No192 Lbs180 CMNoNoNo1Pro & Farm1,500,000$857,142$0$0$NoLien / Lien NHL
Hunter MiskaJardiniers (WPT)G251995-07-06No170 Lbs185 CMNoNoNo1Pro & Farm650,000$371,428$0$0$NoLien / Lien NHL
Ian McCoshenJardiniers (WPT)D251995-08-05No217 Lbs191 CMNoNoNo1Pro & Farm1,025,000$585,714$0$0$NoLien / Lien NHL
Jake WalmanJardiniers (WPT)D241996-02-19Yes170 Lbs185 CMNoNoNo2Pro & Farm925,000$528,571$0$0$No925,000$Lien / Lien NHL
Jonas JohanssonJardiniers (WPT)G251995-09-18No206 Lbs193 CMNoNoNo2Pro & Farm650,000$371,428$0$0$No650,000$Lien / Lien NHL
Josh LeivoJardiniers (WPT)LW271993-05-26No210 Lbs188 CMNoNoNo1Pro & Farm1,500,000$857,142$0$0$NoLien / Lien NHL
Joshua Ho-SangJardiniers (WPT)RW241996-01-22Yes173 Lbs183 CMNoNoNo2Pro & Farm874,125$499,500$0$0$No874,125$Lien / Lien NHL
Madison BoweyJardiniers (WPT)D251995-04-22No198 Lbs188 CMNoNoNo1Pro & Farm650,000$371,428$0$0$NoLien / Lien NHL
Marcus HogbergJardiniers (WPT)G251994-11-24No209 Lbs196 CMNoNoNo1Pro & Farm850,000$485,714$0$0$NoLien / Lien NHL
Marcus PetterssonJardiniers (WPT)D241996-05-08No180 Lbs193 CMNoNoNo2Pro & Farm874,125$499,500$0$0$No874,125$Lien / Lien NHL
Matthew HighmoreJardiniers (WPT)C/LW241996-02-27No181 Lbs180 CMNoNoNo2Pro & Farm925,000$528,571$0$0$No925,000$Lien / Lien NHL
Mirco MuellerJardiniers (WPT)D251995-03-21No210 Lbs191 CMNoNoNo2Pro & Farm1,400,000$800,000$0$0$No1,400,000$Lien / Lien NHL
Morgan GeekieJardiniers (WPT)C221998-07-20Yes179 Lbs188 CMNoNoNo2Pro & Farm800,000$457,142$0$0$No800,000$Lien / Lien NHL
Nicholas MerkleyJardiniers (WPT)C/LW/RW231997-05-23Yes194 Lbs178 CMNoNoNo2Pro & Farm1,075,833$614,761$0$0$No1,075,833$Lien / Lien NHL
Noah GregorJardiniers (WPT)C/LW/RW221998-07-27Yes185 Lbs183 CMNoNoNo2Pro & Farm850,000$485,714$0$0$No850,000$Lien / Lien NHL
Ryan MacInnisJardiniers (WPT)C241996-02-13Yes185 Lbs191 CMNoNoNo2Pro & Farm874,125$499,500$0$0$No874,125$Lien / Lien NHL
Sonny MilanoJardiniers (WPT)LW241996-05-11No195 Lbs188 CMNoNoNo2Pro & Farm874,125$499,500$0$0$No874,125$Lien / Lien NHL
Thatcher DemkoJardiniers (WPT)G241995-12-07No192 Lbs193 CMNoNoNo1Pro & Farm1,050,000$600,000$0$0$NoLien / Lien NHL
Tomas JurcoJardiniers (WPT)RW271992-12-27No188 Lbs188 CMNoNoNo1Pro & Farm990,000$565,714$0$0$NoLien / Lien NHL
Vladislav KamenevJardiniers (WPT)LW241996-08-12No194 Lbs188 CMNoNoNo1Pro & Farm894,167$510,952$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.40191 Lbs185 CM1.56996,193$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Josh LeivoColin WhiteAustin Poganski40122
2Nicholas MerkleyMorgan GeekieJoshua Ho-Sang30122
3Sonny MilanoRyan MacInnisNoah Gregor20122
4Vladislav KamenevMatthew HighmoreAnton Wedin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marcus PetterssonMirco Mueller40122
2Adam BoqvistMadison Bowey30122
3Connor CarrickIan McCoshen20122
4Jake WalmanMarcus Pettersson10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Josh LeivoColin WhiteAustin Poganski60122
2Nicholas MerkleyMorgan GeekieJoshua Ho-Sang40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marcus PetterssonMirco Mueller60122
2Adam BoqvistMadison Bowey40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Colin WhiteMorgan Geekie60122
2Austin PoganskiJosh Leivo40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marcus PetterssonMirco Mueller60122
2Adam BoqvistMadison Bowey40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Colin White60122Marcus PetterssonMirco Mueller60122
2Morgan Geekie40122Adam BoqvistMadison Bowey40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Colin WhiteMorgan Geekie60122
2Austin PoganskiJosh Leivo40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marcus PetterssonMirco Mueller60122
2Adam BoqvistMadison Bowey40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Josh LeivoColin WhiteAustin PoganskiMarcus PetterssonMirco Mueller
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Josh LeivoColin WhiteAustin PoganskiMarcus PetterssonMirco Mueller
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tomas Jurco, Sonny Milano, Ryan MacInnisTomas Jurco, Sonny MilanoRyan MacInnis
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Connor Carrick, Ian McCoshen, Jake WalmanConnor CarrickIan McCoshen, Jake Walman
Tirs de pénalité
Colin White, Morgan Geekie, Austin Poganski, Josh Leivo, Nicholas Merkley
Gardien
#1 : Thatcher Demko, #2 : Alex Lyon, #3 : Jonas Johansson


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
1Requins312000001112-1211000008801010000034-120.3331116270061409837313008037185811218.18%9277.78%1255743.86%255149.02%154434.09%684667244420
Total312000001112-1211000008801010000034-120.3331116270061409837313008037185811218.18%9277.78%1255743.86%255149.02%154434.09%684667244420
_Since Last GM Reset312000001112-1211000008801010000034-120.3331116270061409837313008037185811218.18%9277.78%1255743.86%255149.02%154434.09%684667244420
_Vs Conference312000001112-1211000008801010000034-120.3331116270061409837313008037185811218.18%9277.78%1255743.86%255149.02%154434.09%684667244420
_Vs Division312000001112-1211000008801010000034-120.3331116270061409837313008037185811218.18%9277.78%1255743.86%255149.02%154434.09%684667244420

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
32OTL1111627988037185800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
31200001112
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000088
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
101000034
Derniers 10 matchs
WLOTWOTL SOWSOL
110100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
11218.18%9277.78%1
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
37313006140
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
255743.86%255149.02%154434.09%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
684667244420


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 - 2021-04-163Requins4Jardiniers2LSommaire du match
4 - 2021-04-187Requins4Jardiniers6WSommaire du match
6 - 2021-04-2011Jardiniers3Requins4LXSommaire du match
8 - 2021-04-2215Jardiniers-Requins-
10 - 2021-04-2419Requins-Jardiniers-
12 - 2021-04-2623Jardiniers-Requins-
14 - 2021-04-2827Requins-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
40 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,490,484$ 2,387,900$ 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$ 8 0$ 0$




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
Saison régulière
201683601104143488149339413080201019576119423030213329373220140488855134314016515116426880893859901235888792615802787125.54%2723387.87%171061167063.53%1015164061.89%738123459.81%2001134017966461229630
201784373004247326409-8342231201213180212-3242141803034146197-5199326552878040133879825560889852776232488762013813095317.15%2907574.14%8923167855.01%896154857.88%714129954.97%2018132717706771316661
2018823930062414482751734127902111248124124411221041302001514910144877612241301671601113179011971049903272192996416402826623.40%43510376.32%181122186360.23%1122185760.42%824126465.19%2052137216906481220620
20198427390655232731116421716042301991386142102302322128173-45833275819081301229599289101015941911273299296315083328024.10%44612172.87%111138188260.47%1073191955.91%746121961.20%1998130818346801257627
2020845614063414392132264230503121241100141422690322019811385136439691113011151143135123050107110069375127121042653169532710331.50%3196579.62%231007171058.89%928160757.75%709122657.83%2019135118256551237624
Total Saison régulière417219124026132114202813576712081275001268510636504132099274014713996570725855920283455548341515173062848414364107150004638354212847473741267804152837324.41%176239777.47%775251880359.65%5034857158.73%3731624259.77%1009067008917330862613165
Séries éliminatoires
201621147000008054261183000004919301064000003135-428801392190103415316700237209224598210245349981818.37%621772.58%126447655.46%21938257.33%14228150.53%491323459172312154
2020312000001112-1211000008801010000034-121116270061409837313008037185811218.18%9277.78%1255743.86%255149.02%154434.09%684667244420
Total Séries éliminatoires24159000009166251394000005727301165000003439-53091155246016351931768372682392246782472634071092018.35%711973.24%228953354.22%24443356.35%15732548.31%559369526196356175