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Icehogs
GP: 37 | W: 22 | L: 10 | OTL: 5 | P: 49
GF: 128 | GA: 108 | PP%: 16.50% | PK%: 82.64%
DG: Dominic | Morale : 59 | Moyenne d’équipe : 64
Prochains matchs #575 vs Islanders
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Centre de jeu
Thunderbirds
14-20-1, 29pts
4
FINAL
7 Icehogs
22-10-5, 49pts
Team Stats
W1SéquenceW2
8-10-0Fiche domicile12-4-1
6-10-1Fiche domicile10-6-4
4-6-0Derniers 10 matchs6-2-2
2.89Buts par match 3.46
3.60Buts contre par match 2.92
20.83%Pourcentage en avantage numérique16.50%
82.03%Pourcentage en désavantage numérique82.64%
Icehogs
22-10-5, 49pts
3
FINAL
2 Reign
14-17-5, 33pts
Team Stats
W2SéquenceL7
12-4-1Fiche domicile7-10-1
10-6-4Fiche domicile7-7-4
6-2-2Derniers 10 matchs0-8-2
3.46Buts par match 2.81
2.92Buts contre par match 3.47
16.50%Pourcentage en avantage numérique21.55%
82.64%Pourcentage en désavantage numérique77.66%
Islanders
22-10-3, 47pts
2024-11-22
Icehogs
22-10-5, 49pts
Statistiques d’équipe
L1SéquenceW2
10-6-2Fiche domicile12-4-1
12-4-1Fiche visiteur10-6-4
6-1-310 derniers matchs6-2-2
3.63Buts par match 3.46
3.03Buts contre par match 3.46
27.93%Pourcentage en avantage numérique16.50%
81.45%Pourcentage en désavantage numérique82.64%
Icehogs
22-10-5, 49pts
2024-11-24
Canucks
16-17-2, 34pts
Statistiques d’équipe
W2SéquenceSOW1
12-4-1Fiche domicile9-8-1
10-6-4Fiche visiteur7-9-1
6-2-210 derniers matchs4-4-2
3.46Buts par match 2.97
2.92Buts contre par match 2.97
16.50%Pourcentage en avantage numérique21.88%
82.64%Pourcentage en désavantage numérique80.00%
Roadrunners
17-13-5, 39pts
2024-11-26
Icehogs
22-10-5, 49pts
Statistiques d’équipe
W1SéquenceW2
10-6-2Fiche domicile12-4-1
7-7-3Fiche visiteur10-6-4
5-4-110 derniers matchs6-2-2
3.51Buts par match 3.46
3.14Buts contre par match 3.46
23.08%Pourcentage en avantage numérique16.50%
78.21%Pourcentage en désavantage numérique82.64%
Meneurs d'équipe
Buts
Chris Tierney
18
Passes
Slater Koekkoek
22
Points
Chris Tierney
33
Plus/Moins
Ronald Attard
20
Victoires
Michael Hutchinson
12
Pourcentage d’arrêts
Tyler Beskorowany
0.91

Statistiques d’équipe
Buts pour
128
3.46 GFG
Tirs pour
1132
30.59 Avg
Pourcentage en avantage numérique
16.5%
17 GF
Début de zone offensive
41.0%
Buts contre
108
2.92 GAA
Tirs contre
1081
29.22 Avg
Pourcentage en désavantage numérique
82.6%%
21 GA
Début de la zone défensive
39.6%
Informations de l'équipe

Directeur généralDominic
EntraîneurBob Hartley
DivisionDivision Centrale
ConférenceConference 2
CapitaineChris Tierney
Assistant #1Connor Brown
Assistant #2Kevin Labanc


Informations de l’aréna

Capacité3,000
Assistance2,909
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure18
Limite contact 50 / 56
Espoirs25


Historique d'équipe

Saison actuelle22-10-5 (49PTS)
Historique62-40-19 (0.512%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0-0
Coupe Stanley0


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
1Reese JohnsonX100.0088458475737579757472687463584966536702612,000,000$
2Chris Tierney (C)X100.0062458772717186728071697467796956696703012,000,000$
3Jakob LiljaXX100.0059459372707490726569737866675549696603111,300,000$
4Antti SuomelaX100.006946867267748369767268726860504969650301900,000$
5Glenn GawdinXXX99.0064468672707674717474676860545060696502721,300,000$
6Rocco GrimaldiXX100.0061459572677379706567697166605550236403121,300,000$
7Michael SgarbossaX100.0061459771697170707369706868554850506403221,300,000$
8Boris KatchoukXX100.007745807271738870696868716057506065640261900,000$
9Justin DowlingXX100.0063459271697178716769717367584842696403411,300,000$
10Timothy GettingerXX100.007149797275747369667067696652496070640261750,000$
11Brandon GignacXXX100.006345887268707073726763735949476069630271750,000$
12Kevin Bahl (R)X100.007250797576789075457162755660457072670243900,000$
13Chris BigrasX100.0069457671717273734571667554725852656602932,000,000$
14Jyrki JokipakkaX99.0060439469747378724571677162644947336503311,250,000$
15Fredrik ClaessonX100.0073548270737389684567646956715248706503111,500,000$
16Ronald AttardX99.006544907272727265456768676248466059620252750,000$
Rayé
1Connor Brown (A)XX39.7665459474708083716370677265746753556703012,000,000$
2Kevin Labanc (A)XX93.3668458975697787716471677065736759486702811,800,000$
3Radim ZohornaXX83.2170469073777474736072707168574961436602811,700,000$
4Eric FlorchukXXX100.0063458576747478677569626558625172296402421,200,000$
5Brian FerlinXX100.006443836674667764565963736267594620620321900,000$
6Kevin RoyX100.005140927268686863706259696755514520600311800,000$
7Raphael BussieresXX100.008071556774686563636565596055525520600311700,000$
8Dennis YanXX100.005745877270656966616164635848465820590272500,000$
9Ryker Evans (R)X99.627145847268827671457365735945457056650221900,000$
10Slater KoekkoekX92.3866458173727573704574637162665153586503011,700,000$
11Dakota MermisX100.006647786871677267456561705458494620620301900,000$
12Nikolai GlukhovX100.007966627371677065456066655955495320610291900,000$
13Gustav BourammanX100.006751907068707257456360695752475720610272700,000$
MOYENNE D’ÉQUIPE96.66674785727173776960686670626052554864
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 Hutchinson100.007778768078788480818475666538736603432,500,000$
2Tyler Beskorowany98.007677758378788381828377465138676403421,200,000$
Rayé
1Jhonas Enroth100.007574727275737877777777676630326303611,200,000$
MOYENNE D’ÉQUIPE99.3376767478777682798081766061355764
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Hartley75726675999931CAN654100,000$


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 TierneyIcehogs (Chi)C37181533101202460117327615.38%863817.252461586000005259.71%82900001.0326000142
2Kevin LabancIcehogs (Chi)LW/RW3791726700153287275410.34%560816.450551482000001044.44%4500000.8502000111
3Slater KoekkoekIcehogs (Chi)D3732225724024274022307.50%3970819.15055198600002000%000000.7100000030
4Reese JohnsonIcehogs (Chi)C341014242220705097253810.31%460117.681231776000022151.11%72200000.8013000113
5Boris KatchoukIcehogs (Chi)LW/RW3713112410335394497195613.40%565317.673141685000034250.00%5200000.7300000122
6Connor BrownIcehogs (Chi)LW/RW3581624710027269824668.16%658216.642241283000001247.37%3800000.8235000021
7Ryker EvansIcehogs (Chi)D3531720119536273316309.09%4576921.991341886000099100%000000.5200001011
8Kevin BahlIcehogs (Chi)D32416207381039394917288.16%4968821.531342667000179100%000000.5800002211
9Glenn GawdinIcehogs (Chi)C/LW/RW374151938034417922555.06%972419.58156148500021010049.01%30200000.5200000001
10Jakob LiljaIcehogs (Chi)LW/RW376121844019319534796.32%1257915.650110100011041040.48%4200000.6201000110
11Antti SuomelaIcehogs (Chi)C378917140346064134512.50%851113.82101160003760153.46%62100000.6701000201
12Ronald AttardIcehogs (Chi)D372141620180151815131513.33%3767218.1801103000042100%000000.4800000100
13Justin DowlingIcehogs (Chi)LW/RW377916620172740233317.50%540210.870000100021070248.72%3900000.8001000002
14Fredrik ClaessonIcehogs (Chi)D373121515295452123121013.04%4468718.5800000000090000%000000.4400001220
15Chris BigrasIcehogs (Chi)D356814010056202161628.57%4267419.2800001000097000%000100.4100000110
16Timothy GettingerIcehogs (Chi)LW/RW3794131395492263175114.29%550313.61303961000011035.48%3100000.5201001211
17Michael SgarbossaIcehogs (Chi)C21471114002172772314.81%32069.8500009000041046.75%24600001.0612000010
18Brandon GignacIcehogs (Chi)C/LW/RW37381156016154312296.98%32817.6000000000000050.00%1800000.7800000000
19Radim ZohornaIcehogs (Chi)LW/RW9437520141221111819.05%316218.05101624000010111.11%900000.8600000011
20Eric FlorchukIcehogs (Chi)C/LW/RW10123-2204111001110.00%111311.37000000002291061.07%14900000.5300000010
21Jyrki JokipakkaIcehogs (Chi)D9123-1409391511.11%1119221.37101418000021000%000000.3100000000
22Rocco GrimaldiIcehogs (Chi)LW/RW2011100024130%02814.1200000000010050.00%200000.7100000000
Statistiques d’équipe totales ou en moyenne66612623436012328630588605113235477111.13%3441099116.5017324917186700011867201153.16%314500100.66722005152317
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)2512930.9022.79144042676820010.50082314201
2Tyler BeskorowanyIcehogs (Chi)1510120.9102.6382002363980100.667121423212
Statistiques d’équipe totales ou en moyenne40221050.9052.732261441031080011203737413


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé 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 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
Antti SuomelaIcehogs (Chi)C301994-03-17No180 Lbs6 ft1NoNoTrade2024-06-25NoNo1Pro & Farm900,000$0$0$No------------------Lien
Boris KatchoukIcehogs (Chi)LW/RW261998-06-18No206 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Brandon GignacIcehogs (Chi)C/LW/RW271997-11-07No185 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Brian FerlinIcehogs (Chi)LW/RW321992-06-03No207 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Chris BigrasIcehogs (Chi)D291995-02-22No191 Lbs6 ft1NoNoN/ANoNo32024-04-29Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------NoNo-------Lien
Chris TierneyIcehogs (Chi)C301994-07-01No191 Lbs6 ft1NoNoFree AgentNoNo12024-07-22Pro & Farm2,000,000$0$0$No------------------Lien
Connor Brown (sur la masse salariale)Icehogs (Chi)LW/RW301994-01-14No184 Lbs6 ft0NoNoFree AgentNoNo12024-07-22Pro & Farm2,000,000$0$0$Yes------------------Lien
Dakota MermisIcehogs (Chi)D301994-01-05No195 Lbs6 ft0NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Dennis YanIcehogs (Chi)LW/RW271997-04-14No192 Lbs6 ft2NoNoN/ANoNo22024-04-29Pro & Farm500,000$0$0$No500,000$--------No--------Lien
Eric FlorchukIcehogs (Chi)C/LW/RW242000-01-10No181 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,200,000$0$0$No1,200,000$--------No--------Lien
Fredrik ClaessonIcehogs (Chi)D311992-11-24No200 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Glenn GawdinIcehogs (Chi)C/LW/RW271997-03-25No192 Lbs6 ft1NoNoN/ANoNo22024-04-29Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Gustav BourammanIcehogs (Chi)D271997-01-24No187 Lbs6 ft0NoNoN/ANoNo22024-04-29Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Jakob LiljaIcehogs (Chi)LW/RW311993-07-23No196 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,300,000$0$0$No------------------Lien
Jhonas EnrothIcehogs (Chi)G361988-06-25No179 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,200,000$0$0$No------------------Lien
Justin DowlingIcehogs (Chi)LW/RW341990-10-01No180 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,300,000$0$0$No------------------Lien
Jyrki JokipakkaIcehogs (Chi)D331991-08-20No207 Lbs6 ft3NoNoTrade2024-06-25NoNo1Pro & Farm1,250,000$0$0$No------------------Lien
Kevin BahlIcehogs (Chi)D242000-06-27Yes230 Lbs6 ft6NoNoTrade (Prospect)NoNo32024-04-29Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Kevin Labanc (sur la masse salariale)Icehogs (Chi)LW/RW281995-12-12No185 Lbs5 ft11NoNoFree AgentNoNo12024-07-24Pro & Farm1,800,000$0$0$Yes------------------Lien
Kevin RoyIcehogs (Chi)C311993-05-20No174 Lbs5 ft9NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Michael HutchinsonIcehogs (Chi)G341990-03-02No201 Lbs6 ft3NoNoFree AgentNoNo32024-07-07Pro & Farm2,500,000$0$0$No2,500,000$2,500,000$-------NoNo-------Lien
Michael SgarbossaIcehogs (Chi)C321992-07-25No179 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Nikolai GlukhovIcehogs (Chi)D291995-04-28No183 Lbs6 ft3NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Radim Zohorna (sur la masse salariale)Icehogs (Chi)LW/RW281996-04-29No225 Lbs6 ft6NoNoN/ANoNo1Pro & Farm1,700,000$0$0$Yes------------------Lien
Raphael BussieresIcehogs (Chi)LW/RW311993-11-05No202 Lbs6 ft2NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------Lien
Reese JohnsonIcehogs (Chi)C261998-07-10No192 Lbs6 ft1NoNoN/ANoNo1Pro & Farm2,000,000$0$0$No------------------Lien
Rocco GrimaldiIcehogs (Chi)LW/RW311993-02-08No180 Lbs5 ft6NoNoN/ANoNo2Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Ronald AttardIcehogs (Chi)D251999-03-20No208 Lbs6 ft3NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Ryker EvansIcehogs (Chi)D222001-12-13Yes189 Lbs5 ft11NoNoFree AgentNoNo12024-06-18Pro & Farm900,000$0$0$No------------------Lien
Slater Koekkoek (sur la masse salariale)Icehogs (Chi)D301994-02-18No193 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,700,000$0$0$Yes------------------Lien
Timothy GettingerIcehogs (Chi)LW/RW261998-04-14No220 Lbs6 ft6NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Tyler BeskorowanyIcehogs (Chi)G341990-04-28No210 Lbs6 ft5NoNoTrade2024-06-25NoNo2Pro & Farm1,200,000$0$0$No1,200,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3229.22195 Lbs6 ft11.441,243,750$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Boris KatchoukReese Johnson30023
2Glenn GawdinChris TierneyJakob Lilja30023
3Timothy GettingerAntti SuomelaRocco Grimaldi25122
4Justin DowlingMichael SgarbossaBrandon Gignac15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin Bahl34122
2Jyrki JokipakkaChris Bigras33122
3Fredrik ClaessonRonald Attard33122
4Kevin Bahl0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Boris KatchoukReese Johnson50014
2Glenn GawdinChris TierneyJakob Lilja50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin Bahl50023
2Jyrki JokipakkaTimothy Gettinger50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Glenn GawdinJakob Lilja50131
2Antti SuomelaJustin Dowling50131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin BahlFredrik Claesson50131
2Jyrki JokipakkaChris Bigras50131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Glenn Gawdin50140Kevin BahlFredrik Claesson50140
2Antti Suomela50140Jyrki JokipakkaChris Bigras50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Reese JohnsonBoris Katchouk50023
2Chris TierneyGlenn Gawdin50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin Bahl50122
2Jyrki JokipakkaChris Bigras50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Boris KatchoukReese JohnsonJyrki Jokipakka
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Boris KatchoukChris TierneyJakob LiljaKevin BahlChris Bigras
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Glenn Gawdin, Antti Suomela, Justin DowlingGlenn Gawdin, Antti SuomelaJustin Dowling
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Ronald Attard, Jyrki JokipakkaRonald Attard, Jyrki Jokipakka
Tirs de pénalité
Rocco Grimaldi, Chris Tierney, Michael Sgarbossa, , Antti Suomela
Gardien
#1 : Tyler Beskorowany, #2 : Michael Hutchinson


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
1Admirals3110010011101211000006421000010056-130.500112132004445331111236336037952791631597114.29%13469.23%0697126355.19%641121952.58%33459955.76%902625871273488246
2Barracuda11000000404000000000001100000040421.000481201444533111936336037952237416000%20100.00%0697126355.19%641121952.58%33459955.76%902625871273488246
3Canucks32100000963211000006421100000032140.6679172601444533119836336037952844424519111.11%100100.00%0697126355.19%641121952.58%33459955.76%902625871273488246
4Checkers11000000321110000003210000000000021.0003690044453311253633603795233151013100.00%4175.00%0697126355.19%641121952.58%33459955.76%902625871273488246
5Condors10001000101100010001010000000000021.000123014445331125363360379523013612400.00%30100.00%0697126355.19%641121952.58%33459955.76%902625871273488246
6Crunch11000000321000000000001100000032121.00036900444533113336336037952319214100.00%10100.00%0697126355.19%641121952.58%33459955.76%902625871273488246
7Eagles11000000532000000000001100000053221.00058130044453311323633603795227168145240.00%4250.00%0697126355.19%641121952.58%33459955.76%902625871273488246
8Firebirds10001000651100010006510000000000021.00061218004445331127363360379523786162150.00%3233.33%0697126355.19%641121952.58%33459955.76%902625871273488246
9Gulls21100000550110000003211010000023-120.5005101500444533116136336037952511627327114.29%7185.71%0697126355.19%641121952.58%33459955.76%902625871273488246
10Marlies210000101055110000004041000001065141.00010162601444533117236336037952692521348225.00%80100.00%0697126355.19%641121952.58%33459955.76%902625871273488246
11Monsters3100001112102110000004222000001188050.83312223400444533117836336037952973022529111.11%11372.73%0697126355.19%641121952.58%33459955.76%902625871273488246
12Moose1010000046-21010000046-20000000000000.0004812104445331134363360379524294194250.00%20100.00%0697126355.19%641121952.58%33459955.76%902625871273488246
13Phantoms10001000321100010003210000000000021.00035800444533113936336037952126416200.00%20100.00%0697126355.19%641121952.58%33459955.76%902625871273488246
14Reign21100000660000000000002110000066020.500611170044453311433633603795268192519400.00%10280.00%0697126355.19%641121952.58%33459955.76%902625871273488246
15Roadrunners1010000015-4000000000001010000015-400.000123004445331128363360379523481017200.00%4250.00%0697126355.19%641121952.58%33459955.76%902625871273488246
16Rocket1010000023-1000000000001010000023-100.0002460044453311273633603795237812176233.33%6266.67%0697126355.19%641121952.58%33459955.76%902625871273488246
17SenatorsF10001000431000000000001000100043121.0004812004445331139363360379522254154125.00%2150.00%0697126355.19%641121952.58%33459955.76%902625871273488246
18Silver Knights210000017611000000123-11100000053230.7507101700444533115036336037952511412318112.50%6183.33%0697126355.19%641121952.58%33459955.76%902625871273488246
19StarsF3120000046-2110000003212020000014-320.333481200444533118736336037952832227419222.22%100100.00%0697126355.19%641121952.58%33459955.76%902625871273488246
20Thunderbirds32000001161152200000011561000000156-150.8331630460044453311106363360379528426866600.00%40100.00%0697126355.19%641121952.58%33459955.76%902625871273488246
21Wranglers31100001121201010000045-12100000187130.5001220320044453311973633603795287282334500.00%90100.00%0697126355.19%641121952.58%33459955.76%902625871273488246
Total371610041241281082017940300160421820760112368662490.662128234362144445331111323633603795210813442905881031716.50%1212182.64%0697126355.19%641121952.58%33459955.76%902625871273488246
_Since Last GM Reset371610041241281082017940300160421820760112368662490.662128234362144445331111323633603795210813442905881031716.50%1212182.64%0697126355.19%641121952.58%33459955.76%902625871273488246
_Vs Conference281380111493801312730100140271316650011353530350.6259316926203444533118363633603795279825922744475912.00%931583.87%0697126355.19%641121952.58%33459955.76%902625871273488246
_Vs Division124100112414106410000024177600001121724-7130.5424177118104445331139936336037952349978821633721.21%37878.38%0697126355.19%641121952.58%33459955.76%902625871273488246

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3749W21282343621132108134429058814
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3716104124128108
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
179430016042
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
207611236866
Derniers 10 matchs
WLOTWOTL SOWSOL
521101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1031716.50%1212182.64%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
3633603795244453311
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
697126355.19%641121952.58%33459955.76%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
902625871273488246


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 - 2024-09-0411Icehogs1StarsF2ALSommaire du match
4 - 2024-09-0628Wranglers5Icehogs4BLSommaire du match
7 - 2024-09-0949Icehogs5Wranglers6ALXXSommaire du match
8 - 2024-09-1058Thunderbirds1Icehogs4BWSommaire du match
11 - 2024-09-1375Icehogs5Eagles3AWSommaire du match
12 - 2024-09-1486Monsters2Icehogs4BWSommaire du match
14 - 2024-09-16101Icehogs5Silver Knights3AWSommaire du match
16 - 2024-09-18117Silver Knights3Icehogs2BLXXSommaire du match
18 - 2024-09-20134Icehogs4Monsters3AWXXSommaire du match
21 - 2024-09-23149Icehogs4Barracuda0AWSommaire du match
22 - 2024-09-24159Admirals3Icehogs1BLSommaire du match
25 - 2024-09-27183Gulls2Icehogs3BWSommaire du match
27 - 2024-09-29197Icehogs3Reign4ALSommaire du match
29 - 2024-10-01214Canucks4Icehogs2BLSommaire du match
31 - 2024-10-03228Icehogs3Crunch2AWSommaire du match
33 - 2024-10-05238Icehogs5Thunderbirds6ALXXSommaire du match
36 - 2024-10-08253Condors0Icehogs1BWXSommaire du match
38 - 2024-10-10272Marlies0Icehogs4BWSommaire du match
39 - 2024-10-11281Icehogs6Marlies5AWXXSommaire du match
43 - 2024-10-15306Moose6Icehogs4BLSommaire du match
45 - 2024-10-17322Icehogs4SenatorsF3AWXSommaire du match
47 - 2024-10-19334Icehogs0StarsF2ALSommaire du match
49 - 2024-10-21348Canucks0Icehogs4BWSommaire du match
51 - 2024-10-23368Firebirds5Icehogs6BWXSommaire du match
53 - 2024-10-25382Icehogs2Rocket3ALSommaire du match
56 - 2024-10-28398Icehogs3Canucks2AWSommaire du match
58 - 2024-10-30415Admirals1Icehogs5BWSommaire du match
60 - 2024-11-01429Icehogs2Gulls3ALSommaire du match
62 - 2024-11-03438Icehogs3Wranglers1AWSommaire du match
63 - 2024-11-04448StarsF2Icehogs3BWSommaire du match
66 - 2024-11-07465Icehogs5Admirals6ALXSommaire du match
67 - 2024-11-08477Phantoms2Icehogs3BWXSommaire du match
71 - 2024-11-12499Icehogs1Roadrunners5ALSommaire du match
72 - 2024-11-13512Checkers2Icehogs3BWSommaire du match
75 - 2024-11-16527Icehogs4Monsters5ALXXSommaire du match
76 - 2024-11-17541Thunderbirds4Icehogs7BWSommaire du match
79 - 2024-11-20563Icehogs3Reign2AWSommaire du match
81 - 2024-11-22575Islanders-Icehogs-
83 - 2024-11-24593Icehogs-Canucks-
85 - 2024-11-26605Roadrunners-Icehogs-
86 - 2024-11-27620Icehogs-Eagles-
88 - 2024-11-29635Barracuda-Icehogs-
90 - 2024-12-01653Icehogs-StarsF-
93 - 2024-12-04669Monsters-Icehogs-
95 - 2024-12-06685Icehogs-Griffins-
97 - 2024-12-08698Icehogs-Admirals-
98 - 2024-12-09704StarsF-Icehogs-
101 - 2024-12-12728Icehogs-Wolf Pack-
102 - 2024-12-13736BruinsF-Icehogs-
106 - 2024-12-17764Icehogs-Condors-
107 - 2024-12-18768Roadrunners-Icehogs-
110 - 2024-12-21792Icehogs-Crunch-
111 - 2024-12-22800Barracuda-Icehogs-
115 - 2024-12-26826Reign-Icehogs-
117 - 2024-12-28843Icehogs-Islanders-
119 - 2024-12-30858PenguinsF-Icehogs-
121 - 2025-01-01869Icehogs-Bears-
123 - 2025-01-03884Icehogs-Iowa Wild-
124 - 2025-01-04895Silver Knights-Icehogs-
127 - 2025-01-07915Icehogs-Iowa Wild-
128 - 2025-01-08927Gulls-Icehogs-
130 - 2025-01-10937Icehogs-Roadrunners-
132 - 2025-01-12957Eagles-Icehogs-
137 - 2025-01-17991Reign-Icehogs-
138 - 2025-01-181001Icehogs-Barracuda-
140 - 2025-01-201021Griffins-Icehogs-
145 - 2025-01-251049Comets-Icehogs-
146 - 2025-01-261060Icehogs-Griffins-
148 - 2025-01-281075Icehogs-Thunderbirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2025-01-291086Icehogs-Americans-
150 - 2025-01-301088PenguinsF-Icehogs-
153 - 2025-02-021116Iowa Wild-Icehogs-
155 - 2025-02-041126Icehogs-Gulls-
158 - 2025-02-071145Icehogs-Condors-
159 - 2025-02-081152Griffins-Icehogs-
163 - 2025-02-121182Iowa Wild-Icehogs-
167 - 2025-02-161209Eagles-Icehogs-
172 - 2025-02-211235Wranglers-Icehogs-
174 - 2025-02-231249Icehogs-Wolves-
178 - 2025-02-271269Condors-Icehogs-
180 - 2025-03-011284Icehogs-Silver Knights-
183 - 2025-03-041305Wranglers-Icehogs-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2811
Assistance32,68216,774
Assistance PCT96.12%98.67%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
24 2909 - 96.97% 96,378$1,638,418$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,665,969$ 3,260,000$ 3,260,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,623,299$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,313,061$ 106 18,162$ 1,925,172$




Icehogs 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
1Slater Koekkoek119116879-1070107961567.05%143253621.3261319740221120%00.6200
2Boris Katchouk119364278196919911330111.96%13200116.82119205400004352.48%10.7800
3Jakob Lilja11433387141244993329.94%30187716.47611174700055045.99%00.7618
4Glenn Gawdin1132245671235811662478.91%13196117.36615215101123249.46%00.6800
5Radim Zohorna91273865-3311048923511.49%18158017.3699185500014141.88%00.8215

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
1Charlie Lindgren57301590.9012.7132310314614760100.63633
2Michael Hutchinson2512930.9022.79144042676820010.5008
3Tyler Beskorowany1510120.9102.6382002363980100.66712
4Jhonas Enroth2891510.8893.43153920887910100.7147
5Samu Perhonen41020.8963.4620800121150000.8336

Icehogs 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
Saison régulière
15823630023292592554412011022241341201441161900105125135-1092259473732038584869250578683784681238265961213872615119.54%2574482.88%71416285949.53%1400278950.20%688134651.11%1991137019156091077538
1637161004124128108201794030016042182076011236866249128234362144445331111323633603795210813442905881031716.50%1212182.64%0697126355.19%641121952.58%33459955.76%902625871273488246
Total Saison régulière119524006441338736324582915052251941623261232501228193201-81413877071094171291291192036371149119712251333463100390219753646818.68%3786582.80%72113412251.26%2041400850.92%1022194552.54%2893199527878831566784
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Icehogs 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

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