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Connexion

Chiwawa
GP: 43 | W: 18 | L: 18 | OTL: 7 | P: 43
GF: 99 | GA: 121 | PP%: 13.47% | PK%: 88.00%
DG: Jean-Nicholas Drouin | Morale : 90 | Moyenne d’équipe : 56
Prochains matchs #710 vs Barracudas

Centre de jeu
Bayou
24-18-2, 50pts
3
1 Chiwawa
18-18-7, 43pts
Team Stats
OTL1SéquenceW1
16-6-1Fiche domicile9-9-5
8-12-1Fiche domicile9-9-2
4-4-2Derniers 10 matchs3-6-1
3.39Buts par match 2.30
3.25Buts contre par match 2.81
14.35%Pourcentage en avantage numérique13.47%
81.00%Pourcentage en désavantage numérique88.00%
Farmers
19-26-1, 39pts
4
5 Chiwawa
18-18-7, 43pts
Team Stats
L2SéquenceW1
10-12-0Fiche domicile9-9-5
9-14-1Fiche domicile9-9-2
4-6-0Derniers 10 matchs3-6-1
2.80Buts par match 2.30
3.41Buts contre par match 2.81
18.27%Pourcentage en avantage numérique13.47%
82.23%Pourcentage en désavantage numérique88.00%
Barracudas
27-15-3, 57pts
Jour 56
Chiwawa
18-18-7, 43pts
Statistiques d’équipe
W2SéquenceW1
17-5-1Fiche domicile9-9-5
10-10-2Fiche visiteur9-9-2
6-4-010 derniers matchs3-6-1
3.69Buts par match 2.30
3.11Buts contre par match 2.30
17.53%Pourcentage en avantage numérique13.47%
83.92%Pourcentage en désavantage numérique88.00%
Chiwawa
18-18-7, 43pts
Jour 57
Warriors
13-28-4, 30pts
Statistiques d’équipe
W1SéquenceL5
9-9-5Fiche domicile6-14-2
9-9-2Fiche visiteur7-14-2
3-6-110 derniers matchs3-6-1
2.30Buts par match 2.07
2.81Buts contre par match 2.07
13.47%Pourcentage en avantage numérique11.48%
88.00%Pourcentage en désavantage numérique80.23%
Igloos
25-17-3, 53pts
Jour 58
Chiwawa
18-18-7, 43pts
Statistiques d’équipe
OTW1SéquenceW1
14-7-1Fiche domicile9-9-5
11-10-2Fiche visiteur9-9-2
6-3-110 derniers matchs3-6-1
3.78Buts par match 2.30
3.20Buts contre par match 2.30
18.67%Pourcentage en avantage numérique13.47%
83.33%Pourcentage en désavantage numérique88.00%
Meneurs d'équipe
Liam OhgrenButs
Liam Ohgren
8
Zac JonesPasses
Zac Jones
15
Zac JonesPoints
Zac Jones
20
William LockwoodPlus/Moins
William Lockwood
3
Hunter ShepardVictoires
Hunter Shepard
6
Pourcentage d’arrêts
Niklas Kokko
0.911

Statistiques d’équipe
Buts pour
99
2.30 GFG
Tirs pour
1128
26.23 Avg
Pourcentage en avantage numérique
13.5%
26 GF
Début de zone offensive
38.9%
Buts contre
121
2.81 GAA
Tirs contre
1302
30.28 Avg
Pourcentage en désavantage numérique
88.0%%
21 GA
Début de la zone défensive
43.0%
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
Assistance2,987
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure20
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$
4Ivan Ivan (R)X100.00524590805950485371466055668269090570234850,000$
5Logan CoutureX100.005045907570504045784050555095910905603635,000,000$
6Alexander TrueX100.00504595776050404530405055508976090530282775,000$
7Lane Pederson (C)X100.00504595806050404530405055508574090530284800,000$
8John LeonardX100.00504595766150404530405055508572090520274800,000$
9Adam Beckman (R) (A)X100.00504579796050404530405055508269090520243775,000$
10Matt LuffX100.00504595796050404530405055508572090520283800,000$
11Zac JonesX100.00594581825272565530585371678475090630242900,000$
12Jacob Bryson (A)X100.00524589814260585130525067658775090600273900,000$
13Michael Callahan (R)X100.00544885766359404830405663508573090590263800,000$
14Cal FooteX100.00504573728250404530405055508574090570263775,000$
15Jack AhcanX100.00504592784166404530405055508777090560282800,000$
Rayé
1Andre Lee (R)X99.00874880777750405130485457658471090570254800,000$
2Brad Lambert (R)X99.00514592795358404730445055508170090530212950,000$
3Joachim Blichfeld (R)X100.00504595786050404530405055508572090520271775,000$
4William LockwoodX100.00504578795450404530405055508572090520271800,000$
5Rafael Harvey-PinardX100.005045957849504045304050595086730905202631,000,000$
6Trey Fix-WolanskyX100.00504592795150404530405055508472090520263775,000$
7Kyle BurroughsX91.307554637856504049304750575089760905803021,000,000$
MOYENNE D’ÉQUIPE99.5055468879575642483645515855857409056
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$
Rayé
1Niklas Kokko (R)98.0070506084707070707070708067090610214900,000$
MOYENNE D’ÉQUIPE99.007050608770707070707070857209062
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
1Zac JonesChiwawa (CLE)D23515201140445235182814.29%3552222.7332520720000481039.29%2800000.7700000622
2Liam OhgrenChiwawa (CLE)RW288715-9140494460183013.33%544715.982132177000012227.78%5400000.6713000323
3Jack AhcanChiwawa (CLE)D433811-833535382261713.64%2066715.510115190000131039.09%11000000.3300001332
4William LockwoodChiwawa (CLE)RW2635830019323032310.00%342216.2501113000000135.06%7700000.3800000021
5Ivan IvanChiwawa (CLE)C19167-7001150267153.85%138320.180008490000380058.76%43400000.3700000010
6Cal FooteChiwawa (CLE)D43246-1626073343312256.06%3178618.2800011770001672057.89%7600000.1500000116
7Ville KoivunenChiwawa (CLE)RW24336-18405635415285.56%346519.401341197000021040.38%5200000.2613000011
8Brad LambertChiwawa (CLE)C24325-46016332551912.00%1039916.6302206000050036.34%34400000.2501000111
9Lane PedersonChiwawa (CLE)C15224-10099941922.22%119513.0300000000000050.00%2200000.4100000012
10Jacob BrysonChiwawa (CLE)D21134-10401918288163.57%2047722.731121354000041000%200000.1700000010
11Andre LeeChiwawa (CLE)LW19123-122755213254164.00%436319.131126620000460041.18%3400000.1701100100
12Matt LuffChiwawa (CLE)RW14213017589160612.50%421615.4600001000001130.77%1300000.2800100101
13Alexander TrueChiwawa (CLE)C14112-78039125138.33%019113.6500000000000031.91%4700000.2100000000
14Logan CoutureChiwawa (CLE)C14202-54011261441014.29%322215.8800004000020063.78%19600000.1801000010
15Matthew PoitrasChiwawa (CLE)C10112-42043022674.55%622422.450002250001300062.18%23800000.1801000001
16Kyle BurroughsChiwawa (CLE)D12112-73410241292511.11%322418.700002290000140066.67%900100.1800101001
17Rafael Harvey-PinardChiwawa (CLE)LW10112-5206852820.00%1017617.6200000000020133.33%900000.2300000000
18John LeonardChiwawa (CLE)LW16011-104071011650%430318.970002370000280053.85%1300000.0701000000
19Adam BeckmanChiwawa (CLE)LW91010606661316.67%916618.5110112000050055.56%1800000.1200000100
20Michael CallahanChiwawa (CLE)D16011-6401112194170%1926516.580001336000025000%100000.0800000001
Statistiques d’équipe totales ou en moyenne4004164105-125209254125084611303108.89%191712017.809122111666200023768549.75%177700100.29211302171622
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$380,324$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien NHL
Alexander TrueChiwawa (CLE)C281997-07-17DENNo200 Lbs6 ft5NoNoN/ANoNo22026-03-08FalseFalsePro & Farm775,000$380,324$0$0$No775,000$--------750,000$--------No--------
Andre LeeChiwawa (CLE)LW252000-07-26SWEYes206 Lbs6 ft5NoNoProspectNoNo42026-03-08FalseFalsePro & Farm800,000$392,593$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------Lien NHL
Brad LambertChiwawa (CLE)C212003-12-19FINYes173 Lbs6 ft1NoNoTrade2025-09-18NoNo22026-03-08FalseFalsePro & Farm950,000$466,204$0$0$No950,000$--------950,000$--------No--------Lien NHL
Cal FooteChiwawa (CLE)D261998-12-13CANNo224 Lbs6 ft5NoNoN/ANoNo32026-03-08FalseFalsePro & Farm775,000$380,324$0$0$No775,000$775,000$-------750,000$750,000$-------NoNo-------
Hunter ShepardChiwawa (CLE)G291995-11-07USANo215 Lbs6 ft0NoNoN/ANoNo22026-03-08FalseFalsePro & Farm775,000$380,324$0$0$No775,000$--------775,000$--------No--------Lien NHL
Ivan IvanChiwawa (CLE)C232002-08-20RUSYes190 Lbs6 ft0NoNoDraftNoNo42026-03-08FalseFalsePro & Farm850,000$417,130$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$392,593$0$0$No800,000$--------800,000$--------No--------Lien NHL
Jacob BrysonChiwawa (CLE)D271997-11-18CANNo174 Lbs5 ft9NoNoN/ANoNo32026-03-08FalseFalsePro & Farm900,000$441,667$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$380,324$0$0$No---------------------------
John LeonardChiwawa (CLE)LW271998-08-07USANo196 Lbs5 ft11NoNoN/ANoNo42026-03-08FalseFalsePro & Farm800,000$392,593$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------Lien NHL
Kyle Burroughs (sur la masse salariale)Chiwawa (CLE)D301995-07-12CANNo193 Lbs6 ft0NoNoN/ANoNo22026-03-08FalseFalsePro & Farm1,000,000$490,741$0$0$Yes1,000,000$--------1,000,000$--------No--------Lien NHL
Lane PedersonChiwawa (CLE)C281997-08-04CANNo192 Lbs6 ft0NoNoN/ANoNo42026-03-08FalseFalsePro & Farm800,000$392,593$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$435,123$0$0$No886,666$--------886,666$--------No--------Lien NHL
Logan CoutureChiwawa (CLE)C361989-03-28CANNo206 Lbs6 ft1NoNoTrade2025-09-23NoNo32026-03-08FalseFalsePro & Farm5,000,000$2,453,704$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$392,593$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$490,741$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$392,593$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$441,667$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$490,741$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$380,324$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$588,889$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$392,593$0$0$No---------------------------Lien NHL
Zac JonesChiwawa (CLE)D242000-10-18USANo176 Lbs5 ft10NoNoN/ANoNo22026-03-08FalseFalsePro & Farm900,000$441,667$0$0$No900,000$--------900,000$--------No--------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.88189 Lbs6 ft02.791,034,861$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ville Koivunen35122
2Liam Ohgren30122
3Alexander TrueLogan Couture25122
4Lane Pederson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
135122
2Michael Callahan30122
3Cal FooteJack Ahcan25122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ville Koivunen55122
2Liam Ohgren45122
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
Ville Koivunen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Liam OhgrenMichael Callahan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Logan Couture, Alexander True, Logan Couture
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Cal Foote, Jack Ahcan, Cal Foote
Tirs de pénalité
, Ville Koivunen, Liam Ohgren, ,
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
1Bandits1000010012-11000010012-10000000000010.5001230030333251733041637122191314132150.00%70100.00%0685130652.45%743144651.38%30860750.74%10297251064303512255
2Bayou1010000013-21010000013-20000000000000.000112003033325213304163712240121329300.00%4175.00%0685130652.45%743144651.38%30860750.74%10297251064303512255
3CoolFm1000010012-11000010012-10000000000010.5001230030333253433041637122277426700.00%20100.00%0685130652.45%743144651.38%30860750.74%10297251064303512255
4Farmers22000000862110000005411100000032141.000816240030333255433041637122792128496233.33%12283.33%0685130652.45%743144651.38%30860750.74%10297251064303512255
5Goons1010000004-4000000000001010000004-400.00000000303332593304163712226111013300.00%50100.00%0685130652.45%743144651.38%30860750.74%10297251064303512255
6Grizzlies1010000034-1000000000001010000034-100.000369003033325253304163712237113415800.00%11190.91%0685130652.45%743144651.38%30860750.74%10297251064303512255
7Hunters30200100710-32010010057-21010000023-110.16771219003033325783304163712210539306518211.11%14192.86%0685130652.45%743144651.38%30860750.74%10297251064303512255
8Husky2110000046-22110000046-20000000000020.5004812003033325553304163712249622379111.11%90100.00%0685130652.45%743144651.38%30860750.74%10297251064303512255
9Igloos11000000422000000000001100000042221.000481200303332531330416371223074198337.50%20100.00%0685130652.45%743144651.38%30860750.74%10297251064303512255
10Marlies30200001511-61010000024-22010000137-410.1675101500303332573330416371221162759639111.11%15286.67%0685130652.45%743144651.38%30860750.74%10297251064303512255
11Marmots21100000413110000004041010000001-120.50045901303332563330416371223614273414214.29%11190.91%0685130652.45%743144651.38%30860750.74%10297251064303512255
12Outlaws1010000019-8000000000001010000019-800.000123003033325163304163712245181016200.00%4175.00%0685130652.45%743144651.38%30860750.74%10297251064303512255
13Predateurs20002000752100010004311000100032141.000714210030333256533041637122661524566233.33%12283.33%0685130652.45%743144651.38%30860750.74%10297251064303512255
14Raptors2110000059-41010000006-61100000053220.500591400303332545330416371226311335210110.00%9188.89%1685130652.45%743144651.38%30860750.74%10297251064303512255
15Rockets211000005411010000023-11100000031220.5005712003033325363304163712269308389222.22%40100.00%0685130652.45%743144651.38%30860750.74%10297251064303512255
16Sags2020000038-51010000036-31010000002-200.000369003033325593304163712253142339200.00%9366.67%0685130652.45%743144651.38%30860750.74%10297251064303512255
17Scorpions11000000321110000003210000000000021.0003690030333252533041637122195823600.00%4175.00%0685130652.45%743144651.38%30860750.74%10297251064303512255
18Smirnoff Ice21100000330000000000002110000033020.500369003033325573304163712256111842200.00%70100.00%0685130652.45%743144651.38%30860750.74%10297251064303512255
19Snowbirds1010000023-1000000000001010000023-100.000246003033325383304163712234118158225.00%3166.67%0685130652.45%743144651.38%30860750.74%10297251064303512255
20Spartans1000010023-1000000000001000010023-110.500235003033325283304163712239117197228.57%10100.00%0685130652.45%743144651.38%30860750.74%10297251064303512255
21Supreme1010000023-11010000023-10000000000000.000246003033325363304163712253141620700.00%70100.00%0685130652.45%743144651.38%30860750.74%10297251064303512255
22Thugs1010000003-31010000003-30000000000000.00000000303332516330416371223712213500.00%10100.00%0685130652.45%743144651.38%30860750.74%10297251064303512255
23TigersCats1000010023-11000010023-10000000000010.50024600303332539330416371223271214400.00%50100.00%0685130652.45%743144651.38%30860750.74%10297251064303512255
24Twins21001000642110000002111000100043141.000610160030333255533041637122381229339111.11%7185.71%0685130652.45%743144651.38%30860750.74%10297251064303512255
25Vandals330000001046220000007251100000032161.0001018280130333257433041637122471963913215.38%3166.67%0685130652.45%743144651.38%30860750.74%10297251064303512255
26Warriors1000000112-11000000112-10000000000010.5001230030333251933041637122211010300.00%000%0685130652.45%743144651.38%30860750.74%10297251064303512255
27Wolves10000010431000000000001000001043121.00046100030333251633041637122345220800.00%10100.00%0685130652.45%743144651.38%30860750.74%10297251064303512255
28Xpress11000000523110000005230000000000021.0005914003033325443304163712232712295240.00%6266.67%0685130652.45%743144651.38%30860750.74%10297251064303512255
Total4314180351299121-222389014015464-102069021114557-12430.5009918027902303332511283304163712213023714638411932613.47%1752188.00%1685130652.45%743144651.38%30860750.74%10297251064303512255
_Since Last GM Reset4314180351299121-222389014015464-102069021114557-12430.5009918027902303332511283304163712213023714638411932613.47%1752188.00%1685130652.45%743144651.38%30860750.74%10297251064303512255
_Vs Conference1968031104659-131045010002229-7923021102430-6210.553468312901303332549433041637122568159181374861011.63%651281.54%1685130652.45%743144651.38%30860750.74%10297251064303512255
_Vs Division926001001731-1451400000820-1241200100911-250.27817324900303332524733041637122298789718145511.11%34682.35%1685130652.45%743144651.38%30860750.74%10297251064303512255

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4343W1991802791128130237146384102
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
431418351299121
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
238914015464
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
206921114557
Derniers 10 matchs
WLOTWOTL SOWSOL
260110
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1932613.47%1752188.00%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
330416371223033325
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
685130652.45%743144651.38%30860750.74%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10297251064303512255


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
56710Barracudas-Chiwawa-
57723Chiwawa-Warriors-
58740Igloos-Chiwawa-
59754Chiwawa-Igloos-
60768Spartans-Chiwawa-
62788Chiwawa-Vandals-
63798Chiwawa-Farmers-
64809CoolFm-Chiwawa-
65822Chiwawa-Xpress-
66835Chiwawa-CoolFm-
67845Grizzlies-Chiwawa-
69869Outlaws-Chiwawa-
70878Chiwawa-Rockets-
71901Scorpions-Chiwawa-
72906Chiwawa-Snowbirds-
74927Chiwawa-Vipers-
75940Warriors-Chiwawa-
77964Outlaws-Chiwawa-
78978Chiwawa-Bandits-
79990Chiwawa-Marlies-
801001Smirnoff Ice-Chiwawa-
821025Chiwawa-Goons-
831031Snowbirds-Chiwawa-
841054Chiwawa-Thugs-
851060Hunters-Chiwawa-
861075Chiwawa-Scorpions-
881091Marmots-Chiwawa-
891099Chiwawa-Xpress-
901116Chiwawa-Supreme-
911126Bandits-Chiwawa-
921136Chiwawa-Husky-
941152Chiwawa-TigersCats-
951169Goons-Chiwawa-
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
Assistance45,74622,966
Assistance PCT99.45%99.85%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
18 2987 - 99.58% 101,510$2,334,720$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,846,308$ 2,483,667$ 2,483,667$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,333,359$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,827,172$ 53 32,256$ 1,709,568$




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