Connexion

IceHogs
GP: 10 | W: 4 | L: 6 | OTL: 0 | P: 8
GF: 40 | GA: 43 | PP%: 21.62% | PK%: 79.07%
DG: Frederic Dion | Morale : 50 | Moyenne d’équipe : 67
Prochain matchs #170 vs Iowa Wild
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Centre de jeu
Admirals
0-7-2, 2pts
3
FINAL
5 IceHogs
4-6-0, 8pts
Team Stats
L4StreakL1
0-5-0Home Record2-3-0
0-2-2Away Record2-3-0
0-7-2Last 10 Games4-6-0
2.78Buts par match 4.00
5.22Buts contre par match 4.30
17.86%Pourcentage en avantage numérique21.62%
75.56%Pourcentage en désavantage numérique79.07%
Texas Stars
4-4-1, 9pts
6
FINAL
3 IceHogs
4-6-0, 8pts
Team Stats
W1StreakL1
2-3-0Home Record2-3-0
2-1-1Away Record2-3-0
4-4-1Last 10 Games4-6-0
3.44Buts par match 4.00
3.89Buts contre par match 4.30
13.79%Pourcentage en avantage numérique21.62%
74.07%Pourcentage en désavantage numérique79.07%
IceHogs
4-6-0, 8pts
2022-08-03
Iowa Wild
7-3-0, 14pts
Statistiques d’équipe
L1SéquenceL1
2-3-0Fiche domicile2-3-0
2-3-0Fiche visiteur5-0-0
4-6-010 derniers matchs7-3-0
4.00Buts par match 3.50
4.30Buts contre par match 2.50
21.62%Pourcentage en avantage numérique23.40%
79.07%Pourcentage en désavantage numérique97.06%
Roadrunners
3-5-0, 6pts
2022-08-04
IceHogs
4-6-0, 8pts
Statistiques d’équipe
L2SéquenceL1
1-4-0Fiche domicile2-3-0
2-1-0Fiche visiteur2-3-0
3-5-010 derniers matchs4-6-0
3.50Buts par match 4.00
4.13Buts contre par match 4.30
9.09%Pourcentage en avantage numérique21.62%
74.19%Pourcentage en désavantage numérique79.07%
IceHogs
4-6-0, 8pts
2022-08-05
Texas Stars
4-4-1, 9pts
Statistiques d’équipe
L1SéquenceW1
2-3-0Fiche domicile2-3-0
2-3-0Fiche visiteur2-1-1
4-6-010 derniers matchs4-4-1
4.00Buts par match 3.44
4.30Buts contre par match 3.89
21.62%Pourcentage en avantage numérique13.79%
79.07%Pourcentage en désavantage numérique74.07%
Meneurs d'équipe
Victoires
Alex Lyon
4
Pourcentage d’arrêts
Alex Lyon
0.891

Statistiques d’équipe
Buts pour
40
4.00 GFG
Tirs pour
364
36.40 Avg
Pourcentage en avantage numérique
21.6%
8 GF
Début de zone offensive
39.9%
Buts contre
43
4.30 GAA
Tirs contre
384
38.40 Avg
Pourcentage en désavantage numérique
79.1%
9 GA
Début de la zone défensive
41.1%
Information d’équipe

Directeur généralFrederic Dion
EntraîneurJoel Bouchard
DivisionCENTRALE
ConférenceOUEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro26
Équipe Mineure21
Limite contact 47 / 55
Espoirs6


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
1Zac Dalpe0X100.007039916680878462746064676373780507103231,320,000$
2Michael Mersch0X100.007441796583888964666365626570750507102931,023,000$
3Kieffer Bellows0X100.00863878637679776358686555646366050700243941,000$
4Jayson Megna0X100.007237836476827963746662646372740507003221,227,000$
5Lukas Reichel0X100.006136926970828967656663646961620507002031,337,500$
6Andy Andreoff0X100.00783773647983886375616259637173050700312948,000$
7Chris Terry0X100.005934716470948964716667626473750507003321,070,000$
8Dakota Joshua0X100.00845372588577835973606157596667050680262861,000$
9Paul Carey0XXX100.005035956477827861636062616382790506803311,000,000$
10Kole Sherwood0X100.007537696280837159536258606265670506702521,285,000$
11Taylor Ward0X100.007339825982776256616458575964660506602421,170,000$
12Alex Whelan0X100.00683891587780825553565759546567050650251750,000$
13Robin Salo0X100.00673691657985846530645963526466050690231925,000$
14Kevin Connauton0X100.007938835981867558306154635074720506803221,550,000$
15Olle Alsing0X100.005835956466777662306057615069650506502621,000,000$
16Jonathan Aspirot0X100.006542675874697657305857564566680506402321,350,000$
17Filip Kral0X100.00653878577466865430605357466365050640222810,000$
18Chad Krys0X100.005839775769667256305752534564660506102411,627,500$
Rayé
1Joona Luoto0X100.00583595618263676258596061626764050650242900,000$
2Josh Lopina (R)0X100.00693981587973645663575456536163050630212925,000$
3Drake Rymsha0X100.006342675472777953615552545364660506202411,202,000$
4Brent Gates0XX100.007973936673535452654158645544440506102521,144,000$
5Nick Jones0XX100.007264896264636653664754605144440506002641,017,000$
MOYENNE D’ÉQUIPE100.0069418262767777595660596057656705066
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
1Alex Lyon100.00747576787372747372747370840507602921,198,000$
2Ryan Bednard100.0065676691646365646365646573050690252932,000$
Rayé
1Dylan Wells100.00676566786665676665676664710506902411,245,000$
MOYENNE D’ÉQUIPE100.006969698268676968676968667605071
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Bouchard71686965746978CAN483750,000$


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
1Chris TerryIceHogs (CHI)LW1041014140413418209.76%317517.501341331000001072.73%1100001.6000000100
2Zac DalpeIceHogs (CHI)C10751210073538152418.42%420920.961124310001340047.81%32000001.1500000111
3Jayson MegnaIceHogs (CHI)C106511060132137113016.22%320520.511128290001320147.29%25800001.0700000111
4Lukas ReichelIceHogs (CHI)LW103811-1204204010267.50%520520.531344290001340140.00%1500001.0700000010
5Robin SaloIceHogs (CHI)D1028102806162214219.09%2125325.34123930000033000.00%000000.7900000003
6Michael MerschIceHogs (CHI)LW10099-16026114011330.00%417217.25033930000000037.50%800001.0400000000
7Jonathan AspirotIceHogs (CHI)D10279414019495722.22%1621821.86022430000027000.00%000000.8200000001
8Kieffer BellowsIceHogs (CHI)LW102460403581832411.11%617817.86011331000040043.75%1600000.6700000000
9Kevin ConnautonIceHogs (CHI)D1014511003312147107.14%1225225.30101430000033000.00%000000.4000000010
10Paul CareyIceHogs (CHI)C/LW/RW10415-200082532116.00%211311.3900011000001040.00%500000.8800000000
11Filip KralIceHogs (CHI)D10325440184144921.43%1519319.3720293000002000.00%000000.5200000100
12Alex WhelanIceHogs (CHI)RW10134-1005511389.09%1717.1600000000000025.00%400001.1200000000
13Dakota JoshuaIceHogs (CHI)C10123-1209675414.29%1747.4000001000010053.49%8600000.8100000000
14Olle AlsingIceHogs (CHI)D10033-76012176630.00%1815015.0500011000032000.00%000000.4000000000
15Andy AndreoffIceHogs (CHI)C10213-2401120239248.70%314614.64000000001332057.58%19800000.4100000000
16Taylor WardIceHogs (CHI)RW10213-10044651133.33%4707.0700000000000144.44%900000.8500000000
17Kole SherwoodIceHogs (CHI)RW10022-2601410113170.00%011211.2600000000000055.56%900000.3600000000
18Chad KrysIceHogs (CHI)D10011-71001562040.00%1413213.2400001000014000.00%000000.1500000000
Statistiques d’équipe totales ou en moyenne1804076116-1286023522036412229610.99%132293716.32816246931100042864350.16%93900000.7900000446
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Alex LyonIceHogs (CHI)104400.8914.1651900363300000.0000100001
2Ryan BednardIceHogs (CHI)20200.8874.4481006530010.0000010000
Statistiques d’équipe totales ou en moyenne124600.8904.2060000423830010.00001010001


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
Alex LyonIceHogs (CHI)G291992-12-09No201 Lbs6 ft1NoNoNo2Pro & Farm1,198,000$1,198,000$650,000$0$0$No1,198,000$Lien
Alex WhelanIceHogs (CHI)RW251997-07-20No212 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$750,000$0$0$NoLien
Andy AndreoffIceHogs (CHI)C311991-05-17No200 Lbs6 ft2NoNoNo2Pro & Farm948,000$948,000$650,000$0$0$No948,000$Lien
Brent GatesIceHogs (CHI)C/LW251997-08-12No198 Lbs6 ft2NoNoNo2Pro & Farm1,144,000$1,144,000$812,500$0$0$No1,144,000$Lien
Chad KrysIceHogs (CHI)D241998-04-10No185 Lbs5 ft11NoNoNo1Pro & Farm1,627,500$1,627,500$853,334$0$0$NoLien
Chris TerryIceHogs (CHI)LW331989-04-07No191 Lbs5 ft10NoNoNo2Pro & Farm1,070,000$1,070,000$1,000,000$0$0$No1,070,000$Lien
Dakota JoshuaIceHogs (CHI)C261996-05-15No206 Lbs6 ft3NoNoNo2Pro & Farm861,000$861,000$650,000$0$0$No861,000$Lien
Drake RymshaIceHogs (CHI)C241998-08-06No187 Lbs6 ft0NoNoNo1Pro & Farm1,202,000$1,202,000$937,500$0$0$NoLien
Dylan WellsIceHogs (CHI)G241998-01-03No190 Lbs6 ft2NoNoNo1Pro & Farm1,245,000$1,245,000$750,000$0$0$NoLien
Filip KralIceHogs (CHI)D221999-10-20No185 Lbs6 ft1NoNoNo2Pro & Farm810,000$810,000$700,000$0$0$No810,000$Lien
Jayson MegnaIceHogs (CHI)C321990-02-01No195 Lbs6 ft1NoNoNo2Pro & Farm1,227,000$1,227,000$650,000$0$0$No1,227,000$Lien
Jonathan AspirotIceHogs (CHI)D231999-05-16No200 Lbs6 ft0NoNoNo2Pro & Farm1,350,000$1,350,000$650,000$0$0$No1,200,000$Lien
Joona LuotoIceHogs (CHI)LW241997-09-26No192 Lbs6 ft3NoNoNo2Pro & Farm900,000$900,000$741,667$0$0$No900,000$Lien
Josh LopinaIceHogs (CHI)C212001-02-16Yes195 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$700,000$0$0$No925,000$
Kevin ConnautonIceHogs (CHI)D321990-02-23No205 Lbs6 ft2NoNoNo2Pro & Farm1,550,000$1,550,000$1,550,000$0$0$No1,550,000$Lien
Kieffer BellowsIceHogs (CHI)LW241998-06-10No195 Lbs6 ft1NoNoNo3Pro & Farm941,000$941,000$650,000$0$0$No941,000$941,000$Lien
Kole SherwoodIceHogs (CHI)RW251997-01-22No212 Lbs6 ft1NoNoNo2Pro & Farm1,285,000$1,285,000$650,000$0$0$No1,285,000$Lien
Lukas ReichelIceHogs (CHI)LW202002-05-17No170 Lbs6 ft0NoNoNo3Pro & Farm1,337,500$1,337,500$700,000$0$0$No1,337,500$1,337,500$Lien
Michael MerschIceHogs (CHI)LW291992-10-02No213 Lbs6 ft2NoNoNo3Pro & Farm1,023,000$1,023,000$0$0$No1,023,000$1,023,000$Lien
Nick JonesIceHogs (CHI)C/RW261996-06-02No176 Lbs5 ft11NoNoNo4Pro & Farm1,017,000$1,017,000$650,000$0$0$No1,017,000$1,017,000$1,017,000$Lien
Olle AlsingIceHogs (CHI)D261996-05-01No170 Lbs5 ft11NoNoNo2Pro & Farm1,000,000$1,000,000$1,000,000$0$0$No1,000,000$Lien
Paul CareyIceHogs (CHI)C/LW/RW331988-09-24No196 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$0$0$NoLien
Robin SaloIceHogs (CHI)D231998-10-13No192 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$700,000$0$0$NoLien
Ryan BednardIceHogs (CHI)G251997-03-31No207 Lbs6 ft5NoNoNo2Pro & Farm932,000$932,000$925,000$0$0$No932,000$Lien
Taylor WardIceHogs (CHI)RW241998-03-31No207 Lbs6 ft2NoNoNo2Pro & Farm1,170,000$1,170,000$1,170,000$0$0$No1,170,000$Lien
Zac DalpeIceHogs (CHI)C321989-11-01No197 Lbs6 ft2NoNoNo3Pro & Farm1,320,000$1,320,000$650,000$0$0$No1,320,000$1,320,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2626.23195 Lbs6 ft12.001,106,077$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kieffer BellowsZac DalpeChris Terry30122
2Lukas ReichelJayson MegnaMichael Mersch30122
3Paul CareyAndy AndreoffKole Sherwood24122
4Alex WhelanDakota JoshuaTaylor Ward16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robin SaloKevin Connauton45122
2Jonathan AspirotFilip Kral40122
3Olle AlsingChad Krys15122
4Robin SaloKevin Connauton0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kieffer BellowsZac DalpeChris Terry50122
2Lukas ReichelJayson MegnaMichael Mersch50122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robin SaloKevin Connauton50122
2Jonathan AspirotFilip Kral50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zac DalpeJayson Megna50122
2Andy AndreoffLukas Reichel50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin ConnautonRobin Salo50122
2Jonathan AspirotOlle Alsing50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zac Dalpe50122Robin SaloKevin Connauton50122
2Jayson Megna50122Filip KralOlle Alsing50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zac DalpeChris Terry50122
2Jayson MegnaKieffer Bellows50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robin SaloKevin Connauton50122
2Filip KralJonathan Aspirot50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kieffer BellowsZac DalpeChris TerryLukas ReichelMichael Mersch
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andy AndreoffZac DalpeJayson MegnaRobin SaloKevin Connauton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dakota Joshua, Michael Mersch, Jayson MegnaDakota Joshua, Michael MerschJayson Megna
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Robin Salo, Kevin Connauton, Olle AlsingJonathan AspirotRobin Salo, Kevin Connauton
Tirs de pénalité
Zac Dalpe, Chris Terry, Lukas Reichel, Kieffer Bellows, Andy Andreoff
Gardien
#1 : Alex Lyon, #2 : Ryan Bednard
Lignes d’attaque personnalisées en prolongation
Zac Dalpe, Chris Terry, Kieffer Bellows, Jayson Megna, Lukas Reichel, Michael Mersch, Michael Mersch, Andy Andreoff, Dakota Joshua, Paul Carey, Kole Sherwood
Lignes de défense personnalisées en prolongation
Robin Salo, Kevin Connauton, Jonathan Aspirot, Olle Alsing, Filip Kral


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
1Admirals220000001165110000005321100000063341.00011213200191191811291091215763216479222.22%8275.00%017937248.12%19338350.39%9917755.93%2371612397312764
2Eagles2020000069-31010000057-21010000012-100.0006111710191191791291091215742116548225.00%80100.00%017937248.12%19338350.39%9917755.93%2371612397312764
3Moose21100000770110000004311010000034-120.50071320001911917312910912156413124013215.38%6183.33%017937248.12%19338350.39%9917755.93%2371612397312764
4Roadrunners1010000034-1000000000001010000034-100.0003690019119144129109121533138225120.00%40100.00%017937248.12%19338350.39%9917755.93%2371612397312764
5Texas Stars1010000036-31010000036-30000000000000.000369001911913112910912155214101811100.00%5260.00%017937248.12%19338350.39%9917755.93%2371612397312764
6Thunderbirds201010001011-11010000068-21000100043120.5001019290019119156129109121585392454100.00%12466.67%017937248.12%19338350.39%9917755.93%2371612397312764
Total1036010004043-3523000002327-4513010001716180.40040761161019119136412910912153841328623537821.62%43979.07%017937248.12%19338350.39%9917755.93%2371612397312764
_Since Last GM Reset1036010004043-3523000002327-4513010001716180.40040761161019119136412910912153841328623537821.62%43979.07%017937248.12%19338350.39%9917755.93%2371612397312764
_Vs Conference1036010004043-3523000002327-4513010001716180.40040761161019119136412910912153841328623537821.62%43979.07%017937248.12%19338350.39%9917755.93%2371612397312764
_Vs Division1036010004043-3523000002327-4513010001716180.40040761161019119136412910912153841328623537821.62%43979.07%017937248.12%19338350.39%9917755.93%2371612397312764

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
108L140761163643841328623510
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
103610004043
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300002327
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
51310001716
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
37821.62%43979.07%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
1291091215191191
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
17937248.12%19338350.39%9917755.93%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2371612397312764


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
1 - 2022-07-1710Moose3IceHogs4BWSommaire du match
2 - 2022-07-1825IceHogs6Admirals3AWSommaire du match
4 - 2022-07-2042IceHogs3Moose4ALSommaire du match
6 - 2022-07-2251Eagles7IceHogs5BLSommaire du match
7 - 2022-07-2370Thunderbirds8IceHogs6BLSommaire du match
9 - 2022-07-2582IceHogs1Eagles2ALSommaire du match
10 - 2022-07-2697IceHogs3Roadrunners4ALSommaire du match
11 - 2022-07-27112IceHogs4Thunderbirds3AWXSommaire du match
12 - 2022-07-28127Admirals3IceHogs5BWSommaire du match
15 - 2022-07-31147Texas Stars6IceHogs3BLSommaire du match
18 - 2022-08-03170IceHogs-Iowa Wild-
19 - 2022-08-04184Roadrunners-IceHogs-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
20 - 2022-08-05198IceHogs-Texas Stars-
22 - 2022-08-07221Iowa Wild-IceHogs-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3013
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$ 2,875,800$ 2,014,000$ 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$




IceHogs 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

IceHogs 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

IceHogs 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

IceHogs 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

IceHogs 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