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Connexion

Chiwawa
GP: 76 | W: 37 | L: 28 | OTL: 11 | P: 85
GF: 217 | GA: 238 | PP%: 15.96% | PK%: 84.15%
DG: Jean-Nicholas Drouin | Morale : 90 | Moyenne d’équipe : 56
Prochains matchs #1189 vs Wolves

Centre de jeu
Chiwawa
37-28-11, 85pts
4
5 TigersCats
48-22-6, 102pts
Team Stats
W1SéquenceW1
20-12-6Fiche domicile25-10-3
17-16-5Fiche domicile23-12-3
8-1-1Derniers 10 matchs8-2-0
2.86Buts par match 3.74
3.13Buts contre par match 3.00
15.96%Pourcentage en avantage numérique19.01%
84.15%Pourcentage en désavantage numérique83.75%
Goons
22-40-12, 56pts
3
6 Chiwawa
37-28-11, 85pts
Team Stats
L3SéquenceW1
14-17-8Fiche domicile20-12-6
8-23-4Fiche domicile17-16-5
2-6-2Derniers 10 matchs8-1-1
2.14Buts par match 2.86
3.03Buts contre par match 3.13
14.16%Pourcentage en avantage numérique15.96%
85.39%Pourcentage en désavantage numérique84.15%
Wolves
45-25-6, 96pts
Jour 97
Chiwawa
37-28-11, 85pts
Statistiques d’équipe
W1SéquenceW1
21-13-4Fiche domicile20-12-6
24-12-2Fiche visiteur17-16-5
6-3-110 derniers matchs8-1-1
3.41Buts par match 2.86
2.91Buts contre par match 2.86
17.40%Pourcentage en avantage numérique15.96%
83.72%Pourcentage en désavantage numérique84.15%
Chiwawa
37-28-11, 85pts
Jour 98
Bayou
38-33-5, 81pts
Statistiques d’équipe
W1SéquenceW1
20-12-6Fiche domicile26-10-2
17-16-5Fiche visiteur12-23-3
8-1-110 derniers matchs5-5-0
2.86Buts par match 3.54
3.13Buts contre par match 3.54
15.96%Pourcentage en avantage numérique15.83%
84.15%Pourcentage en désavantage numérique82.11%
Chiwawa
37-28-11, 85pts
Jour 99
TigersCats
48-22-6, 102pts
Statistiques d’équipe
W1SéquenceW1
20-12-6Fiche domicile25-10-3
17-16-5Fiche visiteur23-12-3
8-1-110 derniers matchs8-2-0
2.86Buts par match 3.74
3.13Buts contre par match 3.74
15.96%Pourcentage en avantage numérique19.01%
84.15%Pourcentage en désavantage numérique83.75%
Meneurs d'équipe
Liam OhgrenButs
Liam Ohgren
12
Liam OhgrenPasses
Liam Ohgren
18
Liam OhgrenPoints
Liam Ohgren
30
William LockwoodPlus/Moins
William Lockwood
3
Hunter ShepardVictoires
Hunter Shepard
6
Pourcentage d’arrêts
Niklas Kokko
0.911

Statistiques d’équipe
Buts pour
217
2.86 GFG
Tirs pour
2345
30.86 Avg
Pourcentage en avantage numérique
16.0%
60 GF
Début de zone offensive
41.2%
Buts contre
238
3.13 GAA
Tirs contre
2394
31.50 Avg
Pourcentage en désavantage numérique
84.1%%
52 GA
Début de la zone défensive
40.9%
Informations de l'équipe

Directeur généralJean-Nicholas Drouin
EntraîneurBob Hartley
DivisionDivision Est
ConférenceConference 2
CapitaineLane Pederson
Assistant #1Adam Beckman
Assistant #2Jacob Bryson


Informations de l’aréna

Capacité3,000
Assistance2,989
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure22
Limite Contrat44 / 50
Espoirs27


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
1Matthew PoitrasX100.005445888352654059766552626881710906102131,000,000$
2Ville Koivunen (R)X100.005045908643914059306950666881760906002241,200,000$
3Liam Ohgren (R)X100.00684593805856405430505758668169090570212886,666$
4Andre Lee (R)X100.00874880777750405130485457658471090570254800,000$
5Ivan Ivan (R)X100.00524590805950485371466055668269090570234850,000$
6Logan CoutureX100.005045907570504045784050555095910905603635,000,000$
7Lane Pederson (C)X100.00504595806050404530405055508574090530284800,000$
8William LockwoodX100.00504578795450404530405055508572090520271800,000$
9Adam Beckman (R) (A)X100.00504579796050404530405055508269090520243775,000$
10Rafael Harvey-PinardX100.005045957849504045304050595086730905202631,000,000$
11Matt LuffX100.00504595796050404530405055508572090520283800,000$
12Zac JonesX100.00594581825272565530585371678475090630242900,000$
13Jacob Bryson (A)X100.00524589814260585130525067658775090600273900,000$
14Michael Callahan (R)X100.00544885766359404830405663508573090590263800,000$
15Kyle BurroughsX100.007554637856504049304750575089760905803021,000,000$
16Cal FooteX100.00504573728250404530405055508574090570263775,000$
17Jack AhcanX100.00504592784166404530405055508777090560282800,000$
Rayé
1Joachim Blichfeld (R)X100.00504595786050404530405055508572090520271775,000$
2John LeonardX100.00504595766150404530405055508572090520274800,000$
3Trey Fix-WolanskyX100.00504592795150404530405055508472090520263775,000$
MOYENNE D’ÉQUIPE100.0055468779585642493746525856857409056
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
1Hunter Shepard100.0070506090707070707070708976090620292775,000$
2Niklas Kokko (R)100.0070506084707070707070708067090610214900,000$
Rayé
MOYENNE D’ÉQUIPE100.007050608770707070707070857209062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Hartley65656565977246CAN6651,000,000$


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
1Liam OhgrenChiwawa (CLE)RW54121830-17260909614539938.28%784515.6645936137000014238.64%8800000.7113000987
2Michael CallahanChiwawa (CLE)D4991322-8295493481257111.11%5779016.14448391010000591114.29%700100.5602001857
3Zac JonesChiwawa (CLE)D23515201140445235182814.29%3552222.7332520720000481039.29%2800000.7700000622
4Jack AhcanChiwawa (CLE)D7631417-949558583914297.69%49104013.700115190000151038.40%12500000.3302001479
5Cal FooteChiwawa (CLE)D664711-20460115454813338.33%53106416.1300011780001683052.17%9200000.21000003313
6Alexander TrueCleveland BulldogsC40549-7100134141153912.20%250212.5500000000002033.94%10900000.3600000451
7William LockwoodChiwawa (CLE)RW2635830019323032310.00%342216.2501113000000135.06%7700000.3800000021
8Ivan IvanChiwawa (CLE)C19167-7001150267153.85%138320.180008490000380058.76%43400000.3700000010
9Ville KoivunenChiwawa (CLE)RW27347-214010746617344.55%354820.3214515109000021040.85%7100000.2614000021
10Brad LambertCleveland BulldogsC24325-46016332551912.00%1039916.6302206000050036.34%34400000.2501000111
11Lane PedersonChiwawa (CLE)C18224-30010101142318.18%326114.5500000000000050.00%2400000.3100000012
12Jacob BrysonChiwawa (CLE)D21134-10401918288163.57%2047722.731121354000041000%200000.1700000010
13Andre LeeChiwawa (CLE)LW19123-122755213254164.00%436319.131126620000460041.18%3400000.1701100100
14Matt LuffChiwawa (CLE)RW14213017589160612.50%421615.4600001000001130.77%1300000.2800100101
15Logan CoutureChiwawa (CLE)C17202-84012341541413.33%429017.0800004000020067.61%28400000.1402000010
16Matthew PoitrasChiwawa (CLE)C10112-42043022674.55%622422.450002250001300062.18%23800000.1801000001
17Kyle BurroughsChiwawa (CLE)D12112-73410241292511.11%322418.700002290000140066.67%900100.1800101001
18Rafael Harvey-PinardChiwawa (CLE)LW10112-5206852820.00%1017617.6200000000020133.33%900000.2300000000
19John LeonardChiwawa (CLE)LW16011-104071011650%430318.970002370000280053.85%1300000.0701000000
20Adam BeckmanChiwawa (CLE)LW91010606661316.67%916618.5110112000050055.56%1800000.1200000100
Statistiques d’équipe totales ou en moyenne55060100160-148284305736656841934878.77%287922416.77152136161799000241414650.07%201900200.35217303383947
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 DemkoCleveland Bulldogs209650.9232.18121202445700100.6258200343
2Hunter ShepardChiwawa (CLE)146800.8962.9180400393750001.00031425501
3Niklas KokkoChiwawa (CLE)61310.9113.71307001921300000514130
Statistiques d’équipe totales ou en moyenne40161760.9122.642323021021158010113939974


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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 BeckmanChiwawa (CLE)LW242001-05-10CANYes182 Lbs6 ft2NoNoN/ANoNo32026-03-08FalseFalsePro & Farm775,000$86,111$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien NHL
Andre LeeChiwawa (CLE)LW252000-07-26SWEYes206 Lbs6 ft5NoNoProspectNoNo42026-03-08FalseFalsePro & Farm800,000$88,889$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------Lien NHL
Cal FooteChiwawa (CLE)D261998-12-13CANNo224 Lbs6 ft5NoNoN/ANoNo32026-03-08FalseFalsePro & Farm775,000$86,111$0$0$No775,000$775,000$-------750,000$750,000$-------NoNo-------
Hunter ShepardChiwawa (CLE)G291995-11-07USANo215 Lbs6 ft0NoNoN/ANoNo22026-03-08FalseFalsePro & Farm775,000$86,111$0$0$No775,000$--------775,000$--------No--------Lien NHL
Ivan IvanChiwawa (CLE)C232002-08-20RUSYes190 Lbs6 ft0NoNoDraftNoNo42026-03-08FalseFalsePro & Farm850,000$94,444$0$0$No850,000$850,000$850,000$------850,000$850,000$850,000$------NoNoNo------Lien NHL
Jack AhcanChiwawa (CLE)D281997-05-18USANo180 Lbs5 ft9NoNoN/ANoNo22026-03-08FalseFalsePro & Farm800,000$88,889$0$0$No800,000$--------800,000$--------No--------Lien NHL
Jacob BrysonChiwawa (CLE)D271997-11-18CANNo174 Lbs5 ft9NoNoN/ANoNo32026-03-08FalseFalsePro & Farm900,000$100,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien NHL
Joachim BlichfeldChiwawa (CLE)RW271998-07-17DENYes180 Lbs6 ft2NoNoN/ANoNo12026-03-08FalseFalsePro & Farm775,000$86,111$0$0$No---------------------------
John LeonardChiwawa (CLE)LW271998-08-07USANo196 Lbs5 ft11NoNoN/ANoNo42026-03-08FalseFalsePro & Farm800,000$88,889$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------Lien NHL
Kyle BurroughsChiwawa (CLE)D301995-07-12CANNo193 Lbs6 ft0NoNoN/ANoNo22026-03-08FalseFalsePro & Farm1,000,000$111,111$0$0$No1,000,000$--------1,000,000$--------No--------Lien NHL
Lane PedersonChiwawa (CLE)C281997-08-04CANNo192 Lbs6 ft0NoNoN/ANoNo42026-03-08FalseFalsePro & Farm800,000$88,889$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------Lien NHL
Liam OhgrenChiwawa (CLE)RW212004-01-28SWEYes187 Lbs6 ft0NoNoTrade2025-09-18NoNo22026-03-08FalseFalsePro & Farm886,666$98,518$0$0$No886,666$--------886,666$--------No--------Lien NHL
Logan CoutureChiwawa (CLE)C361989-03-28CANNo206 Lbs6 ft1NoNoTrade2025-09-23NoNo32026-03-08FalseFalsePro & Farm5,000,000$555,556$0$0$No5,000,000$5,000,000$-------5,000,000$5,000,000$-------NoNo-------
Matt LuffChiwawa (CLE)RW281997-05-05CANNo196 Lbs6 ft2NoNoN/ANoNo32026-03-08FalseFalsePro & Farm800,000$88,889$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Matthew PoitrasChiwawa (CLE)C212004-03-10CANNo180 Lbs5 ft11NoNoTrade2025-09-18NoNo32026-03-08FalseFalsePro & Farm1,000,000$111,111$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien NHL
Michael CallahanChiwawa (CLE)D261999-09-23USAYes199 Lbs6 ft2NoNoProspectNoNo32026-03-08FalseFalsePro & Farm800,000$88,889$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Niklas KokkoChiwawa (CLE)G212004-03-14FINYes184 Lbs6 ft3NoNoProspectNoNo42026-03-08FalseFalsePro & Farm900,000$100,000$0$0$No900,000$900,000$900,000$------900,000$900,000$900,000$------NoNoNo------
Rafael Harvey-PinardChiwawa (CLE)LW261999-01-06CANNo184 Lbs5 ft9NoNoN/ANoNo32026-03-08FalseFalsePro & Farm1,000,000$111,111$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien NHL
Trey Fix-WolanskyChiwawa (CLE)RW261999-05-26CANNo191 Lbs5 ft7NoNoN/ANoNo32026-03-08FalseFalsePro & Farm775,000$86,111$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien NHL
Ville KoivunenChiwawa (CLE)RW222003-06-13FINYes161 Lbs5 ft11NoNoProspectNoNo42026-03-08FalseFalsePro & Farm1,200,000$133,333$0$0$No1,200,000$1,200,000$1,200,000$------1,200,000$1,200,000$1,200,000$------NoNoNo------Lien NHL
William LockwoodChiwawa (CLE)RW271998-06-20USANo178 Lbs6 ft0NoNoN/ANoNo12026-03-08FalseFalsePro & Farm800,000$88,889$0$0$No---------------------------Lien NHL
Zac JonesChiwawa (CLE)D242000-10-18USANo176 Lbs5 ft10NoNoN/ANoNo22026-03-08FalseFalsePro & Farm900,000$100,000$0$0$No900,000$--------900,000$--------No--------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2226.00190 Lbs6 ft02.861,050,530$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
135122
230122
325122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
135122
2Michael Callahan30122
3Jack Ahcan25122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
155122
245122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Michael Callahan45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Michael Callahan45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15512255122
245122Michael Callahan45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Michael Callahan45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael Callahan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Jack Ahcan,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


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
TotalDomicile Visiteur
# 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 RI
1Bandits3110010068-2210001005321010000015-430.50061117007573621067717788815508138266911436.36%13192.31%01290256550.29%1315254651.65%594111953.08%188613441831524890446
2Barracudas1000000145-11000000145-10000000000010.5004812007573621034717788815504794227228.57%20100.00%01290256550.29%1315254651.65%594111953.08%188613441831524890446
3Bayou1010000013-21010000013-20000000000000.0001120075736210217177888155040121329300.00%4175.00%01290256550.29%1315254651.65%594111953.08%188613441831524890446
4CoolFm320001001293210001007611100000053250.8331223350075736210109717788815509427207022522.73%10370.00%01290256550.29%1315254651.65%594111953.08%188613441831524890446
5Farmers320010001293110000005412100100075261.00012243600757362101007177888155010530388310330.00%17382.35%01290256550.29%1315254651.65%594111953.08%188613441831524890446
6Goons321000001091110000006332110000046-240.66710192900757362108671778881550582128551417.14%13284.62%11290256550.29%1315254651.65%594111953.08%188613441831524890446
7Grizzlies21100000862110000005231010000034-120.5008162400757362105571778881550671946331500.00%16193.75%11290256550.29%1315254651.65%594111953.08%188613441831524890446
8Hunters402011001012-23010110089-11010000023-130.37510172700757362101197177888155014653568925312.00%20290.00%01290256550.29%1315254651.65%594111953.08%188613441831524890446
9Husky31100010910-12110000046-21000001054140.66791625007573621093717788815508818386714214.29%16287.50%01290256550.29%1315254651.65%594111953.08%188613441831524890446
10Igloos321000001114-31100000043121100000711-440.66711213200757362101017177888155013039256522522.73%9277.78%01290256550.29%1315254651.65%594111953.08%188613441831524890446
11Marlies40200101815-71010000024-230100101611-520.2508162400757362101197177888155014736709015320.00%18477.78%01290256550.29%1315254651.65%594111953.08%188613441831524890446
12Marmots32100000835220000008261010000001-140.667812200175736210102717788815505918404918316.67%15286.67%01290256550.29%1315254651.65%594111953.08%188613441831524890446
13Outlaws31200000818-102110000079-21010000019-820.33381624007573621089717788815501314138816116.67%18383.33%01290256550.29%1315254651.65%594111953.08%188613441831524890446
14Predateurs20002000752100010004311000100032141.0007142100757362106571778881550661524566233.33%12283.33%01290256550.29%1315254651.65%594111953.08%188613441831524890446
15Raptors2110000059-41010000006-61100000053220.5005914007573621045717788815506311335210110.00%9188.89%11290256550.29%1315254651.65%594111953.08%188613441831524890446
16Rockets3210000010731010000023-12200000084440.667101626007573621083717788815509844247215320.00%100100.00%01290256550.29%1315254651.65%594111953.08%188613441831524890446
17Sags2020000038-51010000036-31010000002-200.0003690075736210597177888155053142339200.00%9366.67%01290256550.29%1315254651.65%594111953.08%188613441831524890446
18Scorpions330000001284220000008531100000043161.000122335007573621011571778881550913032811516.67%15193.33%01290256550.29%1315254651.65%594111953.08%188613441831524890446
19Smirnoff Ice32100000532110000002022110000033040.667510150175736210927177888155074152866500.00%120100.00%01290256550.29%1315254651.65%594111953.08%188613441831524890446
20Snowbirds3120000069-3110000003212020000037-420.333612180075736210967177888155011736306821314.29%13376.92%01290256550.29%1315254651.65%594111953.08%188613441831524890446
21Spartans2010010058-31010000035-21000010023-110.2505813007573621071717788815507117193716425.00%70100.00%01290256550.29%1315254651.65%594111953.08%188613441831524890446
22Supreme211000006601010000023-11100000043120.500611170075736210717177888155010222243612216.67%11190.91%01290256550.29%1315254651.65%594111953.08%188613441831524890446
23Thugs2110000068-21010000003-31100000065120.50061117007573621050717788815507317194714214.29%6183.33%01290256550.29%1315254651.65%594111953.08%188613441831524890446
24TigersCats2010010068-21000010023-11010000045-110.25061218007573621082717788815508015254511218.18%8187.50%01290256550.29%1315254651.65%594111953.08%188613441831524890446
25Twins21001000642110000002111000100043141.0006101600757362105571778881550381229339111.11%7185.71%01290256550.29%1315254651.65%594111953.08%188613441831524890446
26Vandals431000001275220000007252110000055060.7501221330175736210112717788815506526166715213.33%8362.50%01290256550.29%1315254651.65%594111953.08%188613441831524890446
27Vipers1010000035-2000000000001010000035-200.000369007573621046717788815502152197114.29%110.00%01290256550.29%1315254651.65%594111953.08%188613441831524890446
28Warriors3020000139-62010000137-41010000002-210.167358007573621080717788815504992753800.00%11554.55%01290256550.29%1315254651.65%594111953.08%188613441831524890446
29Wolves10000010431000000000001000001043121.000461000757362101671778881550345220800.00%10100.00%01290256550.29%1315254651.65%594111953.08%188613441831524890446
30Xpress3100010111101110000005232000010168-240.66711203100757362101127177888155010633398120420.00%17382.35%01290256550.29%1315254651.65%594111953.08%188613441831524890446
Total76302805724217238-2138181202402112110238121603322105128-23850.5592174006170375736210234571778881550239468783816743766015.96%3285284.15%31290256550.29%1315254651.65%594111953.08%188613441831524890446
_Since Last GM Reset76302805724217238-2138181202402112110238121603322105128-23850.5592174006170375736210234571778881550239468783816743766015.96%3285284.15%31290256550.29%1315254651.65%594111953.08%188613441831524890446
_Vs Conference3112130311188106-181677010014453-91556021104453-9340.5488816225001757362109457177888155010122723086871512214.57%1232182.93%11290256550.29%1315254651.65%594111953.08%188613441831524890446
_Vs Division1678001004356-13835000001930-11843001002426-2150.4694380123007573621050771778881550570147180360901314.44%701085.71%11290256550.29%1315254651.65%594111953.08%188613441831524890446

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7685W121740061723452394687838167403
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7630285724217238
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3818122402112110
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3812163322105128
Derniers 10 matchs
WLOTWOTL SOWSOL
611011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3766015.96%3285284.15%3
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
7177888155075736210
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
1290256550.29%1315254651.65%594111953.08%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
188613441831524890446


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
111Chiwawa2Marlies3LXXSommaire du match
218Hunters3Chiwawa2LXSommaire du match
439Chiwawa0Goons4LSommaire du match
547Vandals0Chiwawa3WSommaire du match
669Bandits2Chiwawa1LXSommaire du match
894Marmots0Chiwawa4WSommaire du match
11125Warriors2Chiwawa1LXXSommaire du match
12139Chiwawa3Rockets1WSommaire du match
13154Thugs3Chiwawa0LSommaire du match
14161Chiwawa3Vandals2WSommaire du match
15177Chiwawa1Marlies4LSommaire du match
17191CoolFm2Chiwawa1LXSommaire du match
18206Chiwawa4Igloos2WSommaire du match
19224Scorpions2Chiwawa3WSommaire du match
20243Chiwawa3Farmers2WSommaire du match
22253Husky2Chiwawa4WSommaire du match
23278Sags6Chiwawa3LSommaire du match
25297Chiwawa0Marmots1LSommaire du match
26311Chiwawa3Predateurs2WXSommaire du match
27320Supreme3Chiwawa2LSommaire du match
28342Xpress2Chiwawa5WSommaire du match
30363Chiwawa2Snowbirds3LSommaire du match
31370Chiwawa4Twins3WXSommaire du match
32384Hunters4Chiwawa3LSommaire du match
33400Chiwawa3Smirnoff Ice1WSommaire du match
34409TigersCats3Chiwawa2LXSommaire du match
36433Chiwawa3Grizzlies4LSommaire du match
37446Predateurs3Chiwawa4WXSommaire du match
38460Chiwawa5Raptors3WSommaire du match
39471Vandals2Chiwawa4WSommaire du match
41498Husky4Chiwawa0LSommaire du match
42517Chiwawa0Sags2LSommaire du match
43529Raptors6Chiwawa0LSommaire du match
44548Chiwawa2Hunters3LSommaire du match
45559Twins1Chiwawa2WSommaire du match
46575Chiwawa4Wolves3WXXSommaire du match
47588Marlies4Chiwawa2LSommaire du match
48606Chiwawa0Smirnoff Ice2LSommaire du match
49619Rockets3Chiwawa2LSommaire du match
50629Chiwawa1Outlaws9LSommaire du match
52651Chiwawa2Spartans3LXSommaire du match
53660Bayou3Chiwawa1LSommaire du match
54683Farmers4Chiwawa5WSommaire du match
56710Barracudas5Chiwawa4LXXSommaire du match
57723Chiwawa0Warriors2LSommaire du match
58740Igloos3Chiwawa4WSommaire du match
59754Chiwawa3Igloos9LSommaire du match
60768Spartans5Chiwawa3LSommaire du match
62788Chiwawa2Vandals3LSommaire du match
63798Chiwawa4Farmers3WXSommaire du match
64809CoolFm4Chiwawa6WSommaire du match
65822Chiwawa3Xpress4LXSommaire du match
66835Chiwawa5CoolFm3WSommaire du match
67845Grizzlies2Chiwawa5WSommaire du match
69869Outlaws7Chiwawa4LSommaire du match
70878Chiwawa5Rockets3WSommaire du match
71901Scorpions3Chiwawa5WSommaire du match
72906Chiwawa1Snowbirds4LSommaire du match
74927Chiwawa3Vipers5LSommaire du match
75940Warriors5Chiwawa2LSommaire du match
77964Outlaws2Chiwawa3WSommaire du match
78978Chiwawa1Bandits5LSommaire du match
79990Chiwawa3Marlies4LXSommaire du match
801001Smirnoff Ice0Chiwawa2WSommaire du match
821025Chiwawa4Goons2WSommaire du match
831031Snowbirds2Chiwawa3WSommaire du match
841054Chiwawa6Thugs5WSommaire du match
851060Hunters2Chiwawa3WXSommaire du match
861075Chiwawa4Scorpions3WSommaire du match
881091Marmots2Chiwawa4WSommaire du match
891099Chiwawa3Xpress4LXXSommaire du match
901116Chiwawa4Supreme3WSommaire du match
911126Bandits1Chiwawa4WSommaire du match
921136Chiwawa5Husky4WXXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
941152Chiwawa4TigersCats5LSommaire du match
951169Goons3Chiwawa6WSommaire du match
971189Wolves-Chiwawa-
981197Chiwawa-Bayou-
991207Chiwawa-TigersCats-
1011214Chiwawa-Barracudas-
1031236Vipers-Chiwawa-
1081270Grizzlies-Chiwawa-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance75,67037,922
Assistance PCT99.57%99.79%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
3 2989 - 99.64% 101,598$3,860,736$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,107,384$ 2,311,167$ 2,311,167$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,214,811$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
304,795$ 12 30,659$ 367,908$




Chiwawa 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

Chiwawa 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

Chiwawa 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

Chiwawa 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

Chiwawa 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