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Connexion

IceHogs
GP: 23 | W: 12 | L: 7 | OTL: 4 | P: 28
GF: 89 | GA: 67 | PP%: 25.49% | PK%: 86.79%
DG: Laurent Laporte | Morale : 50 | Moyenne d’équipe : 64
Prochain matchs #380 vs Sound Tigers
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Centre de jeu
IceHogs
12-7-4, 28pts
5
FINAL
4 Bears
9-13-3, 21pts
Team Stats
L1StreakL1
5-2-4Home Record3-8-2
7-5-0Away Record6-5-1
5-3-2Last 10 Games3-5-2
3.87Goals Per Game3.24
2.91Goals Against Per Game3.64
25.49%Power Play Percentage41.67%
86.79%Penalty Kill Percentage67.27%
IceHogs
12-7-4, 28pts
1
FINAL
3 Wolf Pack
16-8-1, 33pts
Team Stats
L1StreakW1
5-2-4Home Record8-2-1
7-5-0Away Record8-6-0
5-3-2Last 10 Games4-5-1
3.87Goals Per Game4.40
2.91Goals Against Per Game3.12
25.49%Power Play Percentage22.45%
86.79%Penalty Kill Percentage84.62%
IceHogs
12-7-4, 28pts
2021-12-05
Sound Tigers
11-8-2, 24pts
Statistiques d’équipe
L1SéquenceW1
5-2-4Fiche domicile3-2-0
7-5-0Fiche visiteur8-6-2
5-3-210 derniers matchs4-6-0
3.87Buts par match 3.38
2.91Buts contre par match 3.38
25.49%Pourcentage en avantage numérique20.00%
86.79%Pourcentage en désavantage numérique71.08%
Wolf Pack
16-8-1, 33pts
2021-12-07
IceHogs
12-7-4, 28pts
Statistiques d’équipe
W1SéquenceL1
8-2-1Fiche domicile5-2-4
8-6-0Fiche visiteur7-5-0
4-5-110 derniers matchs5-3-2
4.40Buts par match 3.87
3.12Buts contre par match 2.91
22.45%Pourcentage en avantage numérique25.49%
84.62%Pourcentage en désavantage numérique86.79%
IceHogs
12-7-4, 28pts
2021-12-09
Rocket
16-8-2, 34pts
Statistiques d’équipe
L1SéquenceL1
5-2-4Fiche domicile9-3-1
7-5-0Fiche visiteur7-5-1
5-3-210 derniers matchs7-3-0
3.87Buts par match 3.35
2.91Buts contre par match 2.77
25.49%Pourcentage en avantage numérique24.14%
86.79%Pourcentage en désavantage numérique78.79%
Meneurs d'équipe
Dysin MayoButs
Dysin Mayo
1
Dysin MayoPasses
Dysin Mayo
2
Dysin MayoPoints
Dysin Mayo
3
Dysin MayoPlus/Moins
Dysin Mayo
3
Michael HutchinsonVictoires
Michael Hutchinson
12
Mike CondonPourcentage d’arrêts
Mike Condon
0.929

Statistiques d’équipe
Buts pour
89
3.87 GFG
Tirs pour
974
42.35 Avg
Pourcentage en avantage numérique
25.5%
13 GF
Début de zone offensive
44.8%
Buts contre
67
2.91 GAA
Tirs contre
688
29.91 Avg
Pourcentage en désavantage numérique
86.8%
7 GA
Début de la zone défensive
36.4%
Information d’équipe

Directeur généralLaurent Laporte
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 250
Espoirs20


Historique d'équipe

Saison actuelle12-7-4 (28PTS)
Historique408-216-50 (0.605%)
Apparitions séries éliminatoires 5
Historique séries éliminatoires (W-L)40-31
Stanley Cup1


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
1Jesperi KotkaniemiX100.007639887382868374817065677862650506802013,425,000$
2Gabriel VilardiX100.005435947184858273817068657263660506702121,627,500$
3Nicolas RoyXX100.00763691688779836981686373646765050670232750,000$
4Adam Cracknell (R)XX100.00763790658585906377666164628676050660351700,000$
5Jaret Anderson-DolanXX100.00803594687081826672646863656263050660212913,333$
6Ryan CarpenterXX100.008339866574807863776562806477680506602921,000,000$
7Grigori Denisenko (R)XX100.007935916871787769656762637461640506502031,775,000$
8Chris TerryXX100.00594681657088936368676459658072050650311700,000$
9Kristian VesalainenXX100.005735926585818470586762616863660506502121,460,833$
10Michael SgarbossaX100.00613594687178796775666364657773050650281700,000$
11Nolan Patrick (R)XX100.00673886707983777282666358726566050650221874,125$
12Philip Tomasino (R)XX100.006243836972858268726766637361620506501941,035,833$
13Dante FabbroX100.006746817374888670307162695465640506602211,491,666$
14Zach BogosianX100.008073716280837761307057765579710506503011,000,000$
15Connor Mackey (R)X100.006642856578777362306863615269650506402411,350,000$
16Isaak Phillips (R)X100.00734682578273785530585458466060050590194925,000$
Rayé
1Alex Turcotte (R)X100.006742846973858367796559637462660506401942,475,000$
2C.J. SmithX100.00813595647179826357626159627366050640251700,000$
3Michael AmadioXX100.00583595667884906376666257636965050640241700,000$
4Nicholas Robertson (R)X100.00543595706278816858666162696364050640194821,667$
5Dominik Bokk (R)XX100.006839876677858163566264596361620506302031,075,833$
6Curtis McKenzieX100.00725571618279855864625961627873050630291700,000$
7Matt Filipe (R)XX100.00715568568073785457555856546764050590222925,000$
MOYENNE D’ÉQUIPE100.0069428666778182656366626464686605065
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
1Michael Hutchinson100.0080848983797880797880798086050670302725,000$
2Mike Condon100.00647179806362646362646379850505803012,400,000$
Rayé
MOYENNE D’ÉQUIPE100.007278848271707271707271808605063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Zach BogosianIceHogs (CHI)D237172443351012947141614.89%3557424.992461444000041000.00%000000.8300100124
2Ryan CarpenterIceHogs (CHI)C/RW23615216220463610640775.66%846120.0721314360001192052.38%4200000.9104000101
3Gabriel VilardiIceHogs (CHI)C237132020057110333856.80%545619.830339370000330061.80%56800000.8824000110
4Jesperi KotkaniemiIceHogs (CHI)C1391019240245279135711.39%632124.7132510250113371158.77%45600001.1803000311
5Jaret Anderson-DolanIceHogs (CHI)C/LW236121854051348421727.14%849021.31033943000090050.00%3200000.7300000130
6Connor MackeyIceHogs (CHI)D23512171220261939132512.82%2348321.041011035101147010.00%000000.7000000101
7Philip TomasinoIceHogs (CHI)C/RW236111748027376215439.68%229512.8300001000021053.38%14800001.1511000000
8Adam CracknellIceHogs (CHI)C/RW23791674039297926698.86%549621.581345420112401044.44%6300000.6413000102
9Dante FabbroIceHogs (CHI)D211151626021343818272.63%3653925.700661340000048000.00%000000.5900000001
10Nicolas RoyIceHogs (CHI)C/RW98614620143153162815.09%621423.84112590001182159.39%22900001.3101000121
11Michael SgarbossaIceHogs (CHI)C23591412014355516509.09%2035515.4400000000030056.68%27700000.7902000200
12Chris TerryIceHogs (CHI)LW/RW234711640181438193410.53%028612.44000010001190056.52%2300000.7700000000
13Grigori DenisenkoIceHogs (CHI)LW/RW235510-314033316113468.20%536315.82202826000001141.18%1700000.5511000011
14Isaak PhillipsIceHogs (CHI)D23369116045141852216.67%2847820.80101535000043000.00%000000.3800000010
15Kristian VesalainenIceHogs (CHI)LW/RW2354964010206115468.20%423710.35000411000001046.15%1300000.7600000101
16Nolan PatrickIceHogs (CHI)C/RW232574002719408295.00%936115.7000001000001057.14%4900000.3900000000
17Dysin MayoBlackhawksD1412334023563616.67%1221315.240000100008000.00%000000.2800000010
18Michael AmadioIceHogs (CHI)C/RW5000000224040.00%0285.6600000000000050.00%200000.0000000000
Statistiques d’équipe totales ou en moyenne361871582457811955265129732887368.94%212665718.44132336106394123937410457.95%191900000.74519100131213
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
1Michael HutchinsonIceHogs (CHI)2312640.9052.78136240636600000.73719230010
2Mike CondonIceHogs (CHI)10100.9292.7943002280000.0000023000
Statistiques d’équipe totales ou en moyenne2412740.9062.78140540656880000.737192323010


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 Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam CracknellIceHogs (CHI)C/RW351985-07-15Yes209 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Alex TurcotteIceHogs (CHI)C192001-02-26Yes185 Lbs5 ft11NoNoNo4Pro & Farm2,475,000$0$0$No2,444,167$2,444,167$2,444,167$Lien NHL
C.J. SmithIceHogs (CHI)LW251994-12-01No184 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Chris TerryIceHogs (CHI)LW/RW311989-04-07No191 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Connor MackeyIceHogs (CHI)D241996-09-12Yes190 Lbs6 ft2NoNoNo1Pro & Farm1,350,000$0$0$NoLien / Lien NHL
Curtis McKenzieIceHogs (CHI)LW291991-02-22No205 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Dante FabbroIceHogs (CHI)D221998-06-20No189 Lbs6 ft0NoNoNo1Pro & Farm1,491,666$0$0$NoLien / Lien NHL
Dominik BokkIceHogs (CHI)LW/RW202000-02-03Yes181 Lbs6 ft2NoNoNo3Pro & Farm1,075,833$0$0$No1,075,833$1,075,833$Lien NHL
Gabriel VilardiIceHogs (CHI)C211999-08-16No201 Lbs6 ft3NoNoNo2Pro & Farm1,627,500$0$0$No1,627,500$Lien / Lien NHL
Grigori DenisenkoIceHogs (CHI)LW/RW202000-06-24Yes186 Lbs5 ft11NoNoNo3Pro & Farm1,775,000$0$0$No1,775,000$1,775,000$Lien NHL
Isaak PhillipsIceHogs (CHI)D192001-09-28Yes193 Lbs6 ft3NoNoNo4Pro & Farm925,000$0$0$No925,000$925,000$925,000$Lien NHL
Jaret Anderson-DolanIceHogs (CHI)C/LW211999-09-12No188 Lbs5 ft11NoNoNo2Pro & Farm913,333$0$0$No913,333$Lien / Lien NHL
Jesperi KotkaniemiIceHogs (CHI)C202000-07-06No201 Lbs6 ft2NoNoNo1Pro & Farm3,425,000$0$0$NoLien / Lien NHL
Kristian VesalainenIceHogs (CHI)LW/RW211999-06-01No207 Lbs6 ft3NoNoNo2Pro & Farm1,460,833$0$0$No1,460,833$Lien / Lien NHL
Matt FilipeIceHogs (CHI)C/LW221997-12-31Yes198 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien NHL
Michael AmadioIceHogs (CHI)C/RW241996-05-13No204 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Michael HutchinsonIceHogs (CHI)G301990-03-02No198 Lbs6 ft3NoNoNo2Pro & Farm725,000$0$0$No725,000$Lien / Lien NHL
Michael SgarbossaIceHogs (CHI)C281992-07-25No182 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Mike CondonIceHogs (CHI)G301990-04-27No196 Lbs6 ft2NoNoNo1Pro & Farm2,400,000$0$0$NoLien / Lien NHL
Nicholas RobertsonIceHogs (CHI)LW192001-09-11Yes164 Lbs5 ft9NoNoNo4Pro & Farm821,667$0$0$No796,667$796,667$796,667$Lien NHL
Nicolas RoyIceHogs (CHI)C/RW231997-02-05No205 Lbs6 ft4NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Nolan PatrickIceHogs (CHI)C/RW221998-09-19Yes198 Lbs6 ft2NoNoNo1Pro & Farm874,125$0$0$NoLien / Lien NHL
Philip TomasinoIceHogs (CHI)C/RW192001-07-28Yes179 Lbs6 ft0NoNoNo4Pro & Farm1,035,833$0$0$No1,005,000$1,005,000$1,005,000$Lien NHL
Ryan CarpenterIceHogs (CHI)C/RW291991-01-18No200 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien / Lien NHL
Zach BogosianIceHogs (CHI)D301990-07-15No200 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.12193 Lbs6 ft11.921,210,032$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jaret Anderson-DolanJesperi KotkaniemiNicolas Roy40122
2Kristian VesalainenGabriel VilardiRyan Carpenter30122
3Chris TerryAdam CracknellPhilip Tomasino20122
4Grigori DenisenkoNolan PatrickJesperi Kotkaniemi10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dante FabbroZach Bogosian40122
2Connor MackeyIsaak Phillips30122
3Nolan PatrickMichael Sgarbossa20122
4Dante FabbroZach Bogosian10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jaret Anderson-DolanJesperi KotkaniemiNicolas Roy60122
2Kristian VesalainenGabriel VilardiRyan Carpenter40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dante FabbroZach Bogosian60122
2Connor MackeyIsaak Phillips40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jesperi KotkaniemiNicolas Roy60122
2Gabriel VilardiRyan Carpenter40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dante FabbroZach Bogosian60122
2Connor MackeyIsaak Phillips40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jesperi Kotkaniemi60122Dante FabbroZach Bogosian60122
2Nicolas Roy40122Connor MackeyIsaak Phillips40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jesperi KotkaniemiNicolas Roy60122
2Gabriel VilardiRyan Carpenter40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dante FabbroZach Bogosian60122
2Connor MackeyIsaak Phillips40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jaret Anderson-DolanJesperi KotkaniemiNicolas RoyDante FabbroZach Bogosian
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jaret Anderson-DolanJesperi KotkaniemiNicolas RoyDante FabbroZach Bogosian
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Cracknell, Philip Tomasino, Michael SgarbossaAdam Cracknell, Philip TomasinoMichael Sgarbossa
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Connor Mackey, Isaak Phillips, Dante FabbroConnor MackeyIsaak Phillips, Dante Fabbro
Tirs de pénalité
Jesperi Kotkaniemi, Nicolas Roy, Gabriel Vilardi, Ryan Carpenter, Jaret Anderson-Dolan
Gardien
#1 : Michael Hutchinson, #2 : Mike Condon


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
1Admirals11000000725110000007250000000000021.0007132000323618657312341310302796264250.00%30100.00%052391057.47%40374054.46%20738154.33%642475481149280149
2Barracuda1000010056-11000010056-10000000000010.5005914003236186463123413103025144193133.33%2150.00%052391057.47%40374054.46%20738154.33%642475481149280149
3Bears10001000541000000000001000100054121.00051015003236186423123413103031144223266.67%220.00%052391057.47%40374054.46%20738154.33%642475481149280149
4Checkers20200000610-41010000024-21010000046-200.000610160032361867531234131030852023523133.33%9277.78%052391057.47%40374054.46%20738154.33%642475481149280149
5Comets22000000185131100000083511000000102841.00018335100323618610931234131030681612465360.00%6183.33%152391057.47%40374054.46%20738154.33%642475481149280149
6Condors1010000013-2000000000001010000013-200.00012300323618639312341310302610426200.00%20100.00%052391057.47%40374054.46%20738154.33%642475481149280149
7Devils11000000615000000000001100000061521.000611170032361866331234131030222623000.00%30100.00%052391057.47%40374054.46%20738154.33%642475481149280149
8Eagles10000010211000000000001000001021121.00022400323618631312341310301514417400.00%20100.00%052391057.47%40374054.46%20738154.33%642475481149280149
9Griffins11000000422110000004220000000000021.000471100323618636312341310303092232150.00%10100.00%052391057.47%40374054.46%20738154.33%642475481149280149
10Heat11000000413000000000001100000041321.0004711003236186553123413103023442311100.00%10100.00%052391057.47%40374054.46%20738154.33%642475481149280149
11Marlies11000000312110000003120000000000021.00035800323618633312341310303912819100.00%40100.00%052391057.47%40374054.46%20738154.33%642475481149280149
12Moose1010000025-3000000000001010000025-300.0002350032361863331234131030438622100.00%30100.00%052391057.47%40374054.46%20738154.33%642475481149280149
13Palm Springs11000000523000000000001100000052321.0005101500323618644312341310302411420000.00%20100.00%052391057.47%40374054.46%20738154.33%642475481149280149
14Penguins2020000047-31010000013-21010000034-100.0004812003236186743123413103065211040800.00%30100.00%052391057.47%40374054.46%20738154.33%642475481149280149
15Rampage21000010835110000005141000001032141.000813210032361869031234131030581410516116.67%30100.00%052391057.47%40374054.46%20738154.33%642475481149280149
16Roadrunners1000000123-11000000123-10000000000010.5002460032361863531234131030268632100.00%3166.67%052391057.47%40374054.46%20738154.33%642475481149280149
17Senators1000010023-11000010023-10000000000010.50024600323618640312341310302511221100.00%000.00%052391057.47%40374054.46%20738154.33%642475481149280149
18Sound Tigers1000000145-11000000145-10000000000010.500481200323618636312341310302662215120.00%10100.00%052391057.47%40374054.46%20738154.33%642475481149280149
19Wolf Pack1010000013-2000000000001010000013-200.0001230032361863631234131030309626100.00%30100.00%052391057.47%40374054.46%20738154.33%642475481149280149
Total239701222896722115200202433310124501020463412280.6098916125000323618697431234131030688212123529511325.49%53786.79%152391057.47%40374054.46%20738154.33%642475481149280149
_Since Last GM Reset239701222896722115200202433310124501020463412280.6098916125000323618697431234131030688212123529511325.49%53786.79%152391057.47%40374054.46%20738154.33%642475481149280149
_Vs Conference11520012140281253000101231496220002017143160.7274070110003236186466312341310302971015025924625.00%22290.91%052391057.47%40374054.46%20738154.33%642475481149280149
_Vs Division641000103317162300000013944110001020812100.83333619400323618629331234131030166552813411545.45%13284.62%152391057.47%40374054.46%20738154.33%642475481149280149

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2328L18916125097468821212352900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
239712228967
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
115202024333
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
124510204634
Derniers 10 matchs
WLOTWOTL SOWSOL
431101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
511325.49%53786.79%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
312341310303236186
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
52391057.47%40374054.46%20738154.33%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
642475481149280149


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2021-10-135IceHogs2Eagles1AWXXSommaire du match
4 - 2021-10-1517IceHogs6Devils1AWSommaire du match
5 - 2021-10-1626IceHogs3Penguins4ALSommaire du match
8 - 2021-10-1946Sound Tigers5IceHogs4BLXXSommaire du match
10 - 2021-10-2160Comets3IceHogs8BWSommaire du match
13 - 2021-10-2481Griffins2IceHogs4BWSommaire du match
16 - 2021-10-2799Marlies1IceHogs3BWSommaire du match
18 - 2021-10-29114IceHogs4Checkers6ALSommaire du match
19 - 2021-10-30123IceHogs3Rampage2AWXXSommaire du match
21 - 2021-11-01133Senators3IceHogs2BLXSommaire du match
23 - 2021-11-03144Checkers4IceHogs2BLSommaire du match
25 - 2021-11-05157IceHogs2Moose5ALSommaire du match
27 - 2021-11-07175Admirals2IceHogs7BWSommaire du match
29 - 2021-11-09188Penguins3IceHogs1BLSommaire du match
32 - 2021-11-12210Roadrunners3IceHogs2BLXXSommaire du match
37 - 2021-11-17245IceHogs5Palm Springs2AWSommaire du match
40 - 2021-11-20271IceHogs1Condors3ALSommaire du match
41 - 2021-11-21278IceHogs10Comets2AWSommaire du match
43 - 2021-11-23289IceHogs4Heat1AWSommaire du match
46 - 2021-11-26304Rampage1IceHogs5BWSommaire du match
48 - 2021-11-28331Barracuda6IceHogs5BLXSommaire du match
52 - 2021-12-02355IceHogs5Bears4AWXSommaire du match
54 - 2021-12-04375IceHogs1Wolf Pack3ALSommaire du match
55 - 2021-12-05380IceHogs-Sound Tigers-
57 - 2021-12-07395Wolf Pack-IceHogs-
59 - 2021-12-09403IceHogs-Rocket-
61 - 2021-12-11421IceHogs-Marlies-
63 - 2021-12-13436Heat-IceHogs-
65 - 2021-12-15451Bears-IceHogs-
67 - 2021-12-17469Admirals-IceHogs-
68 - 2021-12-18477IceHogs-Stars-
71 - 2021-12-21499Thunderbirds-IceHogs-
73 - 2021-12-23517Stars-IceHogs-
78 - 2021-12-28538Monsters-IceHogs-
79 - 2021-12-29547IceHogs-Moose-
82 - 2022-01-01570IceHogs-Admirals-
83 - 2022-01-02581Heat-IceHogs-
85 - 2022-01-04591Eagles-IceHogs-
87 - 2022-01-06607IceHogs-Roadrunners-
89 - 2022-01-08626IceHogs-Wolves-
92 - 2022-01-11640IceHogs-Monsters-
94 - 2022-01-13657Rocket-IceHogs-
96 - 2022-01-15675Gulls-IceHogs-
98 - 2022-01-17686IceHogs-Palm Springs-
99 - 2022-01-18699IceHogs-Condors-
102 - 2022-01-21717Wild-IceHogs-
103 - 2022-01-22729IceHogs-Wild-
105 - 2022-01-24742IceHogs-Eagles-
107 - 2022-01-26755IceHogs-Griffins-
109 - 2022-01-28769Eagles-IceHogs-
111 - 2022-01-30787IceHogs-Rampage-
112 - 2022-01-31794Comets-IceHogs-
114 - 2022-02-02809Wild-IceHogs-
137 - 2022-02-25825Devils-IceHogs-
139 - 2022-02-27841Rampage-IceHogs-
143 - 2022-03-03869Condors-IceHogs-
145 - 2022-03-05881IceHogs-Phantoms-
146 - 2022-03-06894Crunch-IceHogs-
148 - 2022-03-08911Gulls-IceHogs-
150 - 2022-03-10915IceHogs-Bruins-
152 - 2022-03-12936IceHogs-Senators-
155 - 2022-03-15959Bruins-IceHogs-
159 - 2022-03-19984IceHogs-Wild-
160 - 2022-03-20997Moose-IceHogs-
163 - 2022-03-231018IceHogs-Gulls-
164 - 2022-03-241027IceHogs-Reign-
166 - 2022-03-261037IceHogs-Wolves-
168 - 2022-03-281056Americans-IceHogs-
171 - 2022-03-311076IceHogs-Thunderbirds-
172 - 2022-04-011084IceHogs-Crunch-
174 - 2022-04-031105Roadrunners-IceHogs-
178 - 2022-04-071132Palm Springs-IceHogs-
181 - 2022-04-101159Stars-IceHogs-
183 - 2022-04-121172Barracuda-IceHogs-
185 - 2022-04-141189Reign-IceHogs-
187 - 2022-04-161199IceHogs-Admirals-
191 - 2022-04-201230IceHogs-Roadrunners-
192 - 2022-04-211242IceHogs-Reign-
194 - 2022-04-231256IceHogs-Barracuda-
196 - 2022-04-251271Phantoms-IceHogs-
198 - 2022-04-271287Wolves-IceHogs-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
200 - 2022-04-291298IceHogs-Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
781,917$ 3,025,079$ 488,583$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 781,917$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 147 15,050$ 2,212,350$




TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
282254501218290366-7641181401116172162104173100102118204-8664290510800300125768729500997943994253774281513843325917.77%3327278.31%21564288554.21%1072216849.45%738148849.60%2009140119075981050523
382204901525247348-10141122200313125167-424182701212122181-595624741065702093817031480100510161080286676172013653625715.75%2968072.97%21726306456.33%1283231255.49%788137457.35%2021143319185871029510
482521800237266180864127900023139875241259002141279334119266481747211011472772946010109529642432678122018835779716.81%5157286.02%51674316452.91%1475295149.98%637124051.37%2051139318906391035530
5825912033413201471734130502121166661004129701220154817313632058790701001331027833240102411561114215661455520322234921.97%2403187.08%81933304363.52%1501251959.59%767125860.97%2258165616895411009533
682571403044384190194413060102219690106412780202218810088132384687107101101631229239890136312701333252372758720842193515.98%2454282.86%72164349561.92%1646276759.49%798132660.18%233717341628534999530
78254170125336620216441288000412069710941269012121601055512536665910250501521248439440128412571376235472748118822105325.24%2184479.82%32246351963.82%1614263661.23%884136764.67%233917391629527999534
88251210303447425521941286020142621191434123150102021213676118474861133502018715812343230139314411466254174056918751814725.97%2416075.10%52166332965.06%1613258662.37%968152663.43%241918371565490972531
9813633001833593085140201300133182151314116200005017715720923596119704201611147637350125211901250285285135318281784123.03%1593577.99%31931330358.46%1463278852.47%789142755.29%214515791776531996514
10239701222896722115200202433310124501020463412288916125000323618697431234131030688212123529511325.49%53786.79%152391057.47%40374054.46%20738154.33%642475481149280149
Total Saison régulière67836321601317323727952063732338198850681625149197251934016513107916121304109121387027954967776294332116486769329333312966995359607209496052542314862233345119.33%229944380.73%36159272671259.62%120702146756.23%65761138757.75%182241325114486460183734358
Séries éliminatoires
4136700000363427430000021165624000001518-3123668104020917943501391581363671231863081031413.59%841285.71%123149746.48%21245446.70%8620242.57%30519930510817085
5161060000045331285300000241778530000021165204579124010249106110202176188513155149395551018.18%62985.48%039865560.76%34559757.79%12424650.41%451319384123214109
6231670000080592113103000004629171064000003430432801432230102625279290313279301744216176566711115.49%76692.11%049593852.77%44286850.92%18737549.87%593415530171305152
762400000161603120000078-13120000098141629450004832300627777179523216123313.04%16475.00%016126061.92%12120758.45%429046.67%165116135468443
8136700000363247430000024159624000001217-5123662981101216847101371691653891137930950510.00%36683.33%125248851.64%23344852.01%11118958.73%3132153029816581
Total Séries éliminatoires714031000002131743938241400000122853733161700000918928021338159415075755726760853859867219265962217393024314.24%2743786.50%21537283854.16%1353257452.56%550110249.91%182912651657548939472