Connexion

Wranglers
GP: 11 | W: 7 | L: 4 | OTL: 0 | P: 14
GF: 30 | GA: 35 | PP%: 13.46% | PK%: 71.88%
DG: Darren Mongrain | Morale : 50 | Moyenne d’équipe : 69
Prochain matchs #180 vs Condors
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Centre de jeu
Wranglers
7-4-0, 14pts
2
FINAL
5 Reign
4-5-2, 10pts
Team Stats
W1StreakW4
4-1-0Home Record2-1-2
3-3-0Away Record2-4-0
6-4-0Last 10 Games4-4-2
2.73Buts par match 3.36
3.18Buts contre par match 3.45
13.46%Pourcentage en avantage numérique25.00%
71.88%Pourcentage en désavantage numérique77.27%
Canucks
5-4-1, 11pts
0
FINAL
3 Wranglers
7-4-0, 14pts
Team Stats
L1StreakW1
3-2-0Home Record4-1-0
2-2-1Away Record3-3-0
5-4-1Last 10 Games6-4-0
3.70Buts par match 2.73
3.80Buts contre par match 3.18
21.95%Pourcentage en avantage numérique13.46%
85.71%Pourcentage en désavantage numérique71.88%
Condors
6-3-1, 13pts
2022-08-04
Wranglers
7-4-0, 14pts
Statistiques d’équipe
L1SéquenceW1
3-1-1Fiche domicile4-1-0
3-2-0Fiche visiteur3-3-0
6-3-110 derniers matchs6-4-0
3.60Buts par match 2.73
3.20Buts contre par match 3.18
25.93%Pourcentage en avantage numérique13.46%
65.00%Pourcentage en désavantage numérique71.88%
Firebirds
5-3-1, 11pts
2022-08-06
Wranglers
7-4-0, 14pts
Statistiques d’équipe
W1SéquenceW1
3-1-1Fiche domicile4-1-0
2-2-0Fiche visiteur3-3-0
5-3-110 derniers matchs6-4-0
3.78Buts par match 2.73
3.56Buts contre par match 3.18
27.50%Pourcentage en avantage numérique13.46%
76.47%Pourcentage en désavantage numérique71.88%
Wranglers
7-4-0, 14pts
2022-08-07
Firebirds
5-3-1, 11pts
Statistiques d’équipe
W1SéquenceW1
4-1-0Fiche domicile3-1-1
3-3-0Fiche visiteur2-2-0
6-4-010 derniers matchs5-3-1
2.73Buts par match 3.78
3.18Buts contre par match 3.56
13.46%Pourcentage en avantage numérique27.50%
71.88%Pourcentage en désavantage numérique76.47%
Meneurs d'équipe
Buts
Dillon Dube
0
Passes
Dillon Dube
1
Points
Dillon Dube
1
Plus/Moins
Dillon Dube
0
Victoires
Joel Hofer
3
Pourcentage d’arrêts
Joel Hofer
0.901

Statistiques d’équipe
Buts pour
30
2.73 GFG
Tirs pour
416
37.82 Avg
Pourcentage en avantage numérique
13.5%
7 GF
Début de zone offensive
44.6%
Buts contre
35
3.18 GAA
Tirs contre
329
29.91 Avg
Pourcentage en désavantage numérique
71.9%
9 GA
Début de la zone défensive
37.7%
Information d’équipe

Directeur généralDarren Mongrain
EntraîneurMitch Love
DivisionPACIFIQUE
ConférenceOUEST
CapitaineCole Schneider
Assistant #1
Assistant #2Steven Kampfer


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro32
Équipe Mineure20
Limite contact 52 / 55
Espoirs35


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
1Cody Glass0X100.007240886785879065786763647263680507202311,713,333$
2Jonny Brodzinski0X100.006738816680857964756567686469730507102911,228,000$
3Maxim Mamin0X100.00733991678279756670656765686769050710272925,000$
4Nathan Gerbe0XXX100.00793680676179806669676359658478050700351975,000$
5Cole Schneider (C)0X100.006638936280859363556465596472770507003211,031,000$
6Justin Danforth0X100.00663586676481826571636866636970050700291875,000$
7John Hayden0X100.007981625988768158675759665468700506902711,112,000$
8Fredrik Karlstrom0X100.00683892638276886672655861596466050690241795,000$
9Jakob Pelletier0X100.00623680696385846858676661686263050690213863,333$
10Axel Jonsson-Fjallby0X100.00643791657583876158606261676566050680241988,000$
11Eetu Tuulola0X100.00767178578576875659555861576466050670242831,000$
12Emilio Pettersen0X100.00573791586676865761585954586264050630221925,000$
13Nikolai Knyzhov0X100.00813878658480776430675869506566050710243862,000$
14Braden Schneider0X100.007139866781839066306559645363650507102131,325,000$
15Steven Kampfer (A)0X100.00773594647278736230706173528273050710331950,000$
16Connor Mackey0X100.006834616581808364306765625366680507002631,200,000$
17Anthony Bitetto0X100.00723977618179766230666163537274050690321900,000$
18Ben Thomas0X100.00563595647580756230615663506965050660261750,000$
Rayé
1Matthew Phillips0X100.005734936660898465736362566564660506702421,154,000$
2Walker Duehr0X100.006939855982798258615958605765670506702421,000,000$
3Luke Philp0X100.00593791636977816258616059636769050660262950,000$
4Joseph Gambardella0X100.00613886597074875866595756586971050650281750,000$
5Maxim Cajkovic0X100.00603694556975655458555653556163050610212925,000$
6Dmitry Zavgorodniy0X100.00563692576466675651545352596264050600221780,000$
7Tobias Geisser0X100.00783791568578935630555358456365050660231837,778$
8Philip Kemp0X100.007134895384617852305352564563650506202321,021,000$
MOYENNE D’ÉQUIPE100.0068408662767982615462606158676805068
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
1Joel Hofer100.0074757485737274737274736267050750225910,833$
2Arvid Soderblom100.00727776797170727170727163690507302341,500,000$
Rayé
1Maxime Lagace100.00757476787473757473757470830507702911,235,000$
2Dylan Ferguson100.0073676875727173727173726471050730241907,000$
3Jet Greaves100.00717475727069717069717061650507202141,300,000$
4Victor Brattstrom100.0067757686666567666567666573050710251925,000$
MOYENNE D’ÉQUIPE100.007274747971707271707271647105074
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mitch Love70717465575488CAN3750$


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
1Cody GlassWranglers (CAL)C11391280014213310209.09%319517.7704410470000111054.47%25700011.2300000110
2Steven KampferWranglers (CAL)D11279-5401622328116.25%2224622.371231746000023000.00%000000.7300000010
3Jakob PelletierWranglers (CAL)LW11448-220101933103012.12%018416.802021247000002047.37%1900000.8700000010
4Justin DanforthWranglers (CAL)RW105273209838142713.16%318518.5410112370000181050.00%2000000.7600000111
5Jonny BrodzinskiWranglers (CAL)C1133670012193413308.82%219818.020117350001271056.64%11300010.6100000100
6Maxim MaminWranglers (CAL)C11066-22018262713310.00%320118.3403311460000170048.23%22600000.5900000000
7Anthony BitettoWranglers (CAL)D1114558025511489.09%1419517.7601151700007000.00%000000.5100000002
8Nikolai KnyzhovWranglers (CAL)D11325-310021143113149.68%1623821.652132246000020010.00%000000.4200000000
9Braden SchneiderWranglers (CAL)D11145-420111120995.00%1322920.830001029000025000.00%000000.4400000010
10Nathan GerbeWranglers (CAL)C/LW/RW11314-1602220357258.57%317315.820001445000052049.09%11000000.4600000010
11Ben ThomasWranglers (CAL)D11044500275070.00%918116.5300000000012000.00%000000.4400000000
12Cole SchneiderWranglers (CAL)LW1103324047209180.00%114012.7501109000000066.67%1500000.4300000000
13Connor MackeyWranglers (CAL)D11123-5140199176165.88%1223321.22101946000017000.00%000000.2600000000
14Axel Jonsson-FjallbyWranglers (CAL)LW11123-50065188155.56%212411.2700000000000044.44%900000.4800000000
15Fredrik KarlstromWranglers (CAL)C11213-5005311761711.76%313011.8400000000070058.18%16500000.4600000101
16Dillon DubeFlamesC/LW1011000111130.00%22222.0800016000060040.00%500000.9100000000
17Emilio PettersenWranglers (CAL)LW71010000481312.50%17811.270000000000000.00%100000.2500000000
18Eetu TuulolaWranglers (CAL)RW7011020145340.00%17811.2700000000000033.33%300000.2500000000
19Walker DuehrWranglers (CAL)RW8011-5205512340.00%29111.3900000000000022.22%900000.2200000000
20Matthew PhillipsWranglers (CAL)C4000-400045050.00%04110.4400000000000047.50%4000000.0000000000
21Luke PhilpWranglers (CAL)RW2000-300227310.00%02211.3600000000000025.00%400000.0000000000
22John HaydenWranglers (CAL)C5000-3401157330.00%16212.50000000000110054.55%1100000.0000000000
Statistiques d’équipe totales ou en moyenne198305787-176202142494161443017.21%113325616.447132013046300012117152.33%100700020.5300000464
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
1Joel HoferWranglers (CAL)63200.9013.1724621131310000.000052101
2Arvid SoderblomWranglers (CAL)43100.8972.662260110970000.000041100
3Jet GreavesWranglers (CAL)21100.8873.50120007620000.000020000
4Maxime LagaceWranglers (CAL)20000.8724.3569005390000.000004000
Statistiques d’équipe totales ou en moyenne147400.8943.1766222353290000.0000117201


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 restantSalaire moyenPlafond 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
Anthony BitettoWranglers (CAL)D321990-07-15No210 Lbs6 ft1NoNoNo1Pro & Farm900,000$900,000$900,000$0$0$NoLien
Arvid SoderblomWranglers (CAL)G231999-08-19No180 Lbs6 ft3NoNoNo4Pro & Farm1,500,000$1,500,000$1,500,000$0$0$No1,500,000$1,500,000$1,500,000$Lien
Axel Jonsson-FjallbyWranglers (CAL)LW241998-02-10No189 Lbs6 ft1NoNoNo1Pro & Farm988,000$988,000$650,000$0$0$NoLien
Ben ThomasWranglers (CAL)D261996-05-28No187 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$750,000$0$0$NoLien
Braden SchneiderWranglers (CAL)D212001-09-20No202 Lbs6 ft2NoNoNo3Pro & Farm1,325,000$1,325,000$700,000$0$0$No1,325,000$1,325,000$Lien
Cody GlassWranglers (CAL)C231999-04-01No206 Lbs6 ft3NoNoNo1Pro & Farm1,713,333$1,713,333$863,335$0$0$NoLien
Cole SchneiderWranglers (CAL)LW321990-08-26No199 Lbs6 ft2NoNoNo1Pro & Farm1,031,000$1,031,000$800,000$0$0$NoLien
Connor MackeyWranglers (CAL)D261996-09-12No201 Lbs6 ft2NoNoNo3Pro & Farm1,200,000$1,200,000$1,200,000$0$0$No1,200,000$1,200,000$Lien
Dmitry ZavgorodniyWranglers (CAL)RW222000-08-11No173 Lbs5 ft9NoNoNo1Pro & Farm780,000$780,000$780,000$0$0$NoLien
Dylan FergusonWranglers (CAL)G241998-09-20No189 Lbs6 ft1NoNoNo1Pro & Farm907,000$907,000$750,000$0$0$NoLien
Eetu TuulolaWranglers (CAL)RW241998-03-17No224 Lbs6 ft2NoNoNo2Pro & Farm831,000$831,000$650,000$0$0$No831,000$Lien
Emilio PettersenWranglers (CAL)LW222000-04-03No170 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$925,000$0$0$NoLien
Fredrik KarlstromWranglers (CAL)C241998-01-12No195 Lbs6 ft3NoNoNo1Pro & Farm795,000$795,000$700,000$0$0$NoLien
Jakob PelletierWranglers (CAL)LW212001-03-07No160 Lbs5 ft9NoNoNo3Pro & Farm863,333$863,333$700,000$0$0$No863,333$863,333$Lien
Jet GreavesWranglers (CAL)G212001-03-30No170 Lbs6 ft0NoNoNo4Pro & Farm1,300,000$1,300,000$1,300,000$0$0$No1,300,000$1,300,000$1,300,000$Lien
Joel HoferWranglers (CAL)G222000-07-30No179 Lbs6 ft5NoNoNo5Pro & Farm910,833$910,833$910,833$0$0$No1,648,000$1,648,000$1,648,000$1,648,000$Lien
John HaydenWranglers (CAL)C271995-02-14No223 Lbs6 ft3NoNoNo1Pro & Farm1,112,000$1,112,000$1,125,000$0$0$NoLien
Jonny BrodzinskiWranglers (CAL)C291993-06-19No211 Lbs6 ft1NoNoNo1Pro & Farm1,228,000$1,228,000$700,000$0$0$NoLien
Joseph GambardellaWranglers (CAL)C281993-12-01No196 Lbs5 ft10NoNoNo1Pro & Farm750,000$750,000$750,000$0$0$NoLien
Justin DanforthWranglers (CAL)RW291993-03-15No180 Lbs5 ft9NoNoNo1Pro & Farm875,000$875,000$875,000$0$0$NoLien
Luke PhilpWranglers (CAL)RW261995-11-06No181 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$817,501$0$0$No950,000$Lien
Matthew PhillipsWranglers (CAL)C241998-04-06No140 Lbs5 ft7NoNoNo2Pro & Farm1,154,000$1,154,000$1,019,333$0$0$No1,154,000$Lien
Maxim CajkovicWranglers (CAL)RW212001-01-03No185 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$700,000$0$0$No925,000$Lien
Maxim MaminWranglers (CAL)C271995-01-13No206 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$700,000$0$0$No925,000$Lien
Maxime LagaceWranglers (CAL)G291993-01-12No190 Lbs6 ft2NoNoNo1Pro & Farm1,235,000$1,235,000$600,000$0$0$NoLien
Nathan GerbeWranglers (CAL)C/LW/RW351987-07-24No176 Lbs5 ft4NoNoNo1Pro & Farm975,000$975,000$975,000$0$0$NoLien
Nikolai KnyzhovWranglers (CAL)D241998-03-20No218 Lbs6 ft2NoNoNo3Pro & Farm862,000$862,000$796,667$0$0$No862,000$862,000$Lien
Philip KempWranglers (CAL)D231999-02-12No202 Lbs6 ft3NoNoNo2Pro & Farm1,021,000$1,021,000$600,000$0$0$No1,021,000$Lien
Steven KampferWranglers (CAL)D331988-09-24No198 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$950,000$0$0$NoLien
Tobias GeisserWranglers (CAL)D231999-02-13No201 Lbs6 ft4NoNoNo1Pro & Farm837,778$837,778$700,000$0$0$NoLien
Victor BrattstromWranglers (CAL)G251997-03-22No200 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$700,000$0$0$NoLien
Walker DuehrWranglers (CAL)RW241997-11-23No210 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$1,000,000$1,000,000$0$0$No1,000,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3225.44192 Lbs6 ft11.781,013,884$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonny BrodzinskiCody GlassJustin Danforth30122
2Jakob PelletierNathan GerbeMaxim Mamin26113
3Axel Jonsson-FjallbyFredrik KarlstromCole Schneider22131
4Emilio PettersenJohn HaydenEetu Tuulola22131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikolai KnyzhovBraden Schneider34122
2Connor MackeySteven Kampfer33131
3Anthony BitettoBen Thomas33131
4Steven KampferBraden Schneider0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakob PelletierCody GlassMaxim Mamin50014
2Justin DanforthJonny BrodzinskiNathan Gerbe50014
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MackeySteven Kampfer50014
2Nikolai KnyzhovAnthony Bitetto50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jonny BrodzinskiJustin Danforth50131
2Cody GlassMaxim Mamin50131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nikolai KnyzhovSteven Kampfer50140
2Anthony BitettoBraden Schneider50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jonny Brodzinski50041Nikolai KnyzhovSteven Kampfer50050
2Maxim Mamin50041Connor MackeyBraden Schneider50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cody GlassJakob Pelletier50122
2Jonny BrodzinskiJustin Danforth50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anthony BitettoSteven Kampfer50122
2Nikolai KnyzhovBraden Schneider50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jonny BrodzinskiCody GlassJustin DanforthConnor MackeyBraden Schneider
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cody GlassJonny BrodzinskiJustin DanforthNikolai KnyzhovSteven Kampfer
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jakob Pelletier, Justin Danforth, Maxim MaminAxel Jonsson-Fjallby, Fredrik KarlstromJonny Brodzinski
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikolai Knyzhov, Anthony Bitetto, Braden SchneiderAnthony BitettoBen Thomas, Anthony Bitetto
Tirs de pénalité
Cody Glass, Maxim Mamin, Jakob Pelletier, Axel Jonsson-Fjallby, Nathan Gerbe
Gardien
#1 : Joel Hofer, #2 : Arvid Soderblom
Lignes d’attaque personnalisées en prolongation
Cody Glass, Maxim Mamin, Jonny Brodzinski, Nathan Gerbe, Cole Schneider, Justin Danforth, Justin Danforth, Emilio Pettersen, Fredrik Karlstrom, Jakob Pelletier, Axel Jonsson-Fjallby
Lignes de défense personnalisées en prolongation
Steven Kampfer, Braden Schneider, Nikolai Knyzhov, Connor Mackey, Anthony Bitetto


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
1Barracuda20101000511-61010000007-71000100054120.500591400910101911441251443631614398112.50%7271.43%025444856.70%19037950.13%8317746.89%2711892508314071
2Canucks22000000624110000003031100000032141.00061117019101019114412514434913102917211.76%50100.00%025444856.70%19037950.13%8317746.89%2711892508314071
3Condors1010000005-5000000000001010000005-500.0000000091010122144125144335201029100.00%5340.00%025444856.70%19037950.13%8317746.89%2711892508314071
4Gulls22000000624110000003031100000032141.000612180191010162144125144353256418225.00%30100.00%025444856.70%19037950.13%8317746.89%2711892508314071
5Reign21100000770110000005231010000025-320.500713200091010175144125144346154317114.29%2150.00%025444856.70%19037950.13%8317746.89%2711892508314071
6Silver Knights2110000068-2110000004221010000026-420.5006121800910101751441251443832420451119.09%10370.00%025444856.70%19037950.13%8317746.89%2711892508314071
Total1164010003035-55410000015114623010001524-9140.6363057870291010141614412514433291136421452713.46%32971.88%025444856.70%19037950.13%8317746.89%2711892508314071
_Since Last GM Reset1164010003035-55410000015114623010001524-9140.6363057870291010141614412514433291136421452713.46%32971.88%025444856.70%19037950.13%8317746.89%2711892508314071
_Vs Conference1164010003035-55410000015114623010001524-9140.6363057870291010141614412514433291136421452713.46%32971.88%025444856.70%19037950.13%8317746.89%2711892508314071
_Vs Division1164010003035-55410000015114623010001524-9140.6363057870291010141614412514433291136421452713.46%32971.88%025444856.70%19037950.13%8317746.89%2711892508314071

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1114W13057874163291136421402
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
116410003035
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
54100001511
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
62310001524
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
52713.46%32971.88%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
1441251443910101
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
25444856.70%19037950.13%8317746.89%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2711892508314071


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 - 2022-07-1813Silver Knights2Wranglers4BWSommaire du match
3 - 2022-07-1932Wranglers3Canucks2AWSommaire du match
5 - 2022-07-2148Wranglers2Silver Knights6ALSommaire du match
7 - 2022-07-2363Barracuda7Wranglers0BLSommaire du match
9 - 2022-07-2580Gulls0Wranglers3BWSommaire du match
10 - 2022-07-26100Reign2Wranglers5BWSommaire du match
11 - 2022-07-27111Wranglers3Gulls2AWSommaire du match
12 - 2022-07-28125Wranglers0Condors5ALSommaire du match
14 - 2022-07-30138Wranglers5Barracuda4AWXSommaire du match
15 - 2022-07-31148Wranglers2Reign5ALSommaire du match
16 - 2022-08-01158Canucks0Wranglers3BWSommaire du match
19 - 2022-08-04180Condors-Wranglers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
21 - 2022-08-06202Firebirds-Wranglers-
22 - 2022-08-07216Wranglers-Firebirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4030
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,244,427$ 2,708,767$ 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$




Wranglers Leaders statistiques (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

Wranglers 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

Wranglers Statistiques de l'Équipe de Carrière


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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

Wranglers Leaders statistiques (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

Wranglers 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