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Icehogs
GP: 58 | W: 31 | L: 23 | OTL: 4 | P: 66
GF: 240 | GA: 235 | PP%: 26.80% | PK%: 72.97%
DG: Charles Claveau-Fortin | Morale : 50 | Moyenne d’équipe : 65
Prochains matchs #761 vs Checkers

Centre de jeu
Punishers
33-19-7, 73pts
5
4 Icehogs
31-23-4, 66pts
Team Stats
W4SéquenceL2
15-11-3Fiche domicile18-9-2
18-8-4Fiche domicile13-14-2
7-1-2Derniers 10 matchs2-8-0
4.80Buts par match 4.14
4.19Buts contre par match 4.05
18.48%Pourcentage en avantage numérique26.80%
73.80%Pourcentage en désavantage numérique72.97%
Icehogs
31-23-4, 66pts
3
4 Roadrunners
31-19-9, 71pts
Team Stats
L2SéquenceW1
18-9-2Fiche domicile17-7-5
13-14-2Fiche domicile14-12-4
2-8-0Derniers 10 matchs5-3-2
4.14Buts par match 4.17
4.05Buts contre par match 3.88
26.80%Pourcentage en avantage numérique23.35%
72.97%Pourcentage en désavantage numérique81.82%
Icehogs
31-23-4, 66pts
Jour 121
Checkers
23-31-3, 49pts
Statistiques d’équipe
L2SéquenceL1
18-9-2Fiche domicile12-15-2
13-14-2Fiche visiteur11-16-1
2-8-010 derniers matchs3-7-0
4.14Buts par match 3.75
4.05Buts contre par match 3.75
26.80%Pourcentage en avantage numérique23.08%
72.97%Pourcentage en désavantage numérique81.62%
Senators
37-17-4, 78pts
Jour 122
Icehogs
31-23-4, 66pts
Statistiques d’équipe
W1SéquenceL2
20-9-0Fiche domicile18-9-2
17-8-4Fiche visiteur13-14-2
5-4-110 derniers matchs2-8-0
4.84Buts par match 4.14
4.00Buts contre par match 4.14
26.69%Pourcentage en avantage numérique26.80%
76.21%Pourcentage en désavantage numérique72.97%
Moose
27-25-9, 63pts
Jour 125
Icehogs
31-23-4, 66pts
Statistiques d’équipe
L1SéquenceL2
11-13-5Fiche domicile18-9-2
16-12-4Fiche visiteur13-14-2
6-3-110 derniers matchs2-8-0
3.87Buts par match 4.14
4.20Buts contre par match 4.14
19.57%Pourcentage en avantage numérique26.80%
77.48%Pourcentage en désavantage numérique72.97%
Meneurs d'équipe
Buts
Sergey Tolchinsky
46
Passes
Dillon Dube
48
Points
Sergey Tolchinsky
90
Plus/Moins
Dillon Dube
26
Victoires
Mackenzie Blackwood
27
Pourcentage d’arrêts
Mackenzie Blackwood
0.879

Statistiques d’équipe
Buts pour
240
4.14 GFG
Tirs pour
1909
32.91 Avg
Pourcentage en avantage numérique
26.8%
52 GF
Début de zone offensive
36.8%
Buts contre
235
4.05 GAA
Tirs contre
1886
32.52 Avg
Pourcentage en désavantage numérique
73.0%%
60 GA
Début de la zone défensive
35.8%
Informations de l'équipe

Directeur généralCharles Claveau-Fortin
EntraîneurDoug Gilmour
DivisionThayer-Tutt
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,817
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 250
Espoirs0


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
1Sergey TolchinskyX100.008121777577757581667371707460533760720252750,000$
2Nikita Scherbak (R)X100.007129786983737373727179617353513965700242975,000$
3Andrew PoturalskiX100.007936847973747068767167627561564356700261950,000$
4Nils Hoglander (R)X100.007132786282757369736979506846436165670201500,000$
5Gabriel Fortier (R)X100.006240767069706871717266566544446365660203600,000$
6Connor Zary (R)X100.005238728458676082695865578143437068650192500,000$
7JJ. Piccinich (R)X100.007743686574566968557265665947473466650243600,000$
8Max Jones (R)X100.007249716976647966537366605144444238650222600,000$
9Clark Bishop (R)X100.005738876768746357667460626648493565640241700,000$
10Mitchell Chaffee (R)X100.006245676969696769685660645844454465630223500,000$
11Antoine Morand (R)X100.006351696760655459706666626743465157630211500,000$
12Kristian Reichel (R)X100.006548756374737559576564556444454340620223500,000$
13Jaedon DescheneauX100.005043706760706958746672475452532460620252500,000$
14Jackson Cates (R)X100.005431847664746958666550616146474040620231500,000$
15Julius Honka (R)X100.007145857369767873677272797371514038730241950,000$
16Jeremy Davies (R)X100.006938807367597380538664624257533931690243700,000$
17Calle AnderssonX100.007022757364707270577560686062542865680261850,000$
18Zach Whitecloud (R)X100.006531747469687161456851705955503065660241600,000$
19Declan Chisholm (R)X100.005732807154616777327254644544435461630202600,000$
20Eamon Powell (R)X100.005124667152476177308045634340408555600182500,000$
Rayé
1Dillon Dube (R)X80.097734866982767475787281646859514857720223750,000$
2Egor Afanasyev (R)X100.005146715163505957585857535341415834550191500,000$
3Nikita Okhotyuk (R)X100.007442545066655153226046503444444955560201500,000$
MOYENNE D’ÉQUIPE99.13653775696867686860696361615048465565
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
1Mackenzie Blackwood99.007777777673747577767778665546777502412,000,000$
2Oscar Dansk100.00706066707766676561607153553177660262650,000$
Rayé
1Petr Kvaca100.00517254696059657770706247463920640231550,000$
2Jesper Vikman (R)100.00605548555549505152625340406820520182500,000$
MOYENNE D’ÉQUIPE99.7565666168666264686567665249464964
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Gilmour67668070378057CAN533600,000$


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
1Sergey TolchinskyIcehogs (Chi)LW5746449019420120782817414116.37%34130222.851612284616311271778245.35%2695825011.3815000783
2Dillon DubeIcehogs (Chi)C4528487626807992150499018.67%26102522.79818262412720251522053.80%15651914001.4845000394
3Nikita ScherbakIcehogs (Chi)RW582938671558091651796311616.20%25117020.1961218231651122384458.10%1053523001.1412000237
4Connor ZaryIcehogs (Chi)C58182947129555691666512810.84%2178113.4742611410001381147.90%428389011.2000100232
5Andrew PoturalskiIcehogs (Chi)C56262147-18221082831745111614.94%34100317.9366121312110161032254.47%8393317030.9422100410
6Gabriel FortierIcehogs (Chi)LW5823194214205946153408215.03%1572212.46011071014402157.69%261911011.1600000423
7Nils HoglanderIcehogs (Chi)LW58122638-172409056107387711.21%1998917.074812121280112651155.32%472812100.7700000202
8Calle AnderssonIcehogs (Chi)D58325281036075797431474.05%77134623.2113471470335152100%03636000.4200000000
9Julius HonkaIcehogs (Chi)D43226280140561008133422.47%74120328.0004421310002136000%02551000.4700000003
10JJ. PiccinichIcehogs (Chi)RW58121527-195751145985265614.12%2890315.581568127000003150.00%322013010.6000001102
11Jeremy DaviesIcehogs (Chi)D3861925-1022061638736426.90%5696425.38268211110224113100%02335000.5201000030
12Mitchell ChaffeeIcehogs (Chi)RW58912219320726036113525.00%2364511.1300000000000041.18%17618000.6500000011
13Zach WhitecloudIcehogs (Chi)D5821820618082925922283.39%72126221.7715661310002153000%01538000.3200000000
14Clark BishopIcehogs (Chi)C589817-620244865183413.85%104928.5000000000060046.20%18469000.6900000110
15Max JonesIcehogs (Chi)LW4488164180594272294611.11%2153012.05000031013462060.00%101312000.6000000101
16Declan ChisholmIcehogs (Chi)D5121315-914022353213166.25%3882416.16213551011082000%0925000.3600000000
17Eamon PowellIcehogs (Chi)D5801010-638034453912170%4080213.84022129000146000%0727000.2500000001
18Jaedon DescheneauIcehogs (Chi)RW57156-78016154616382.17%74307.5510116000000050.00%6105000.2800000000
19Antoine MorandIcehogs (Chi)C49044340715162150%41753.5702215000000054.41%6843000.4600000001
20Nikita OkhotyukIcehogs (Chi)D480221227531145530%113767.8400001000016000%015000.1100010000
21Kristian ReichelIcehogs (Chi)C38011-100250000%0481.28000010000260011.76%1700000.4100000000
22Jackson CatesIcehogs (Chi)C38000000121010%2501.320000400000000%30000000000000
23Egor AfanasyevIcehogs (Chi)LW34000120981120%21203.550000000000000%31200000000000
Statistiques d’équipe totales ou en moyenne11782363916272747725124111711909635117212.36%6391717214.58528713918115107916441397271252.06%3619406390170.73815211273130
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
1Mackenzie BlackwoodIcehogs (Chi)48271520.8793.812661001691394714000.68816477100
2Oscar DanskIcehogs (Chi)204820.8684.55857006549225100001147010
Statistiques d’équipe totales ou en moyenne68312340.8763.99351800234188696500165854110


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Andrew PoturalskiIcehogs (Chi)C261994-01-01USANo183 Lbs5 ft10NoNoFree AgentNoNo12025-09-03FalseFalsePro & Farm950,000$275,444$0$0$No---------------------------Lien
Antoine MorandIcehogs (Chi)C211999-01-01CANYes190 Lbs5 ft11NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Calle AnderssonIcehogs (Chi)D261994-01-01SWENo211 Lbs6 ft2NoNoFree AgentNoNo12025-09-03FalseFalsePro & Farm850,000$246,450$0$0$No---------------------------Lien
Clark BishopIcehogs (Chi)C241996-01-01CANYes199 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm700,000$202,959$0$0$No---------------------------Lien
Connor ZaryIcehogs (Chi)C192001-01-01CANYes178 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Declan ChisholmIcehogs (Chi)D202000-01-01CANYes185 Lbs6 ft0NoNoFree AgentNoNo22025-10-14FalseFalsePro & Farm600,000$173,964$0$0$No600,000$--------600,000$--------No--------Lien
Dillon Dube (sur la masse salariale)Icehogs (Chi)C221998-01-01CANYes187 Lbs5 ft11NoNoFree AgentNoNo32025-09-03FalseFalsePro & Farm750,000$217,456$0$0$Yes1,000,000$1,250,000$-------1,000,000$1,250,000$-------NoNo-------Lien
Eamon PowellIcehogs (Chi)D182002-01-01USAYes165 Lbs5 ft10NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Egor AfanasyevIcehogs (Chi)LW192001-01-01RUSYes212 Lbs6 ft4NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Gabriel FortierIcehogs (Chi)LW202000-01-01CANYes177 Lbs5 ft10NoNoFree AgentNoNo32025-09-03FalseFalsePro & Farm600,000$173,964$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------Lien
JJ. PiccinichIcehogs (Chi)RW241996-01-01USAYes185 Lbs6 ft0NoNoFree AgentNoNo32025-09-03FalseFalsePro & Farm600,000$173,964$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------Lien
Jackson CatesIcehogs (Chi)C231997-01-01USAYes190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Jaedon DescheneauIcehogs (Chi)RW251995-01-01CANNo192 Lbs5 ft9NoNoFree AgentNoNo22025-10-28FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------Lien
Jeremy DaviesIcehogs (Chi)D241996-01-01CANYes181 Lbs5 ft11NoNoFree AgentNoNo32025-09-03FalseFalsePro & Farm700,000$202,959$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Jesper VikmanIcehogs (Chi)G182002-01-01SWEYes180 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Julius HonkaIcehogs (Chi)D241996-01-01FINYes180 Lbs5 ft11NoNoFree AgentNoNo12025-09-03FalseFalsePro & Farm950,000$275,444$0$0$No---------------------------Lien
Kristian ReichelIcehogs (Chi)C221998-01-01CZEYes168 Lbs6 ft0NoNoFree AgentNoNo32024-09-01FalseFalsePro & Farm500,000$144,970$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Mackenzie BlackwoodIcehogs (Chi)G241996-01-01CANNo225 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$579,882$0$0$No---------------------------Lien
Max JonesIcehogs (Chi)LW221998-01-01USAYes220 Lbs6 ft1NoNoFree AgentNoNo22025-10-28FalseFalsePro & Farm600,000$173,964$0$0$No600,000$--------600,000$--------No--------Lien
Mitchell ChaffeeIcehogs (Chi)RW221998-01-01USAYes201 Lbs6 ft1NoNoFree AgentNoNo32024-09-01FalseFalsePro & Farm500,000$144,970$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Nikita OkhotyukIcehogs (Chi)D202000-01-01RUSYes194 Lbs6 ft1NoNoTrade2024-11-18NoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Nikita ScherbakIcehogs (Chi)RW241996-01-01RUSYes192 Lbs6 ft2NoNoFree AgentNoNo22025-09-03FalseFalsePro & Farm975,000$282,692$0$0$No975,000$--------975,000$--------No--------Lien
Nils HoglanderIcehogs (Chi)LW202000-01-01SWEYes185 Lbs5 ft9NoNoTrade2025-03-25NoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Oscar DanskIcehogs (Chi)G261994-01-01SWENo187 Lbs6 ft2NoNoFree AgentNoNo22025-09-03FalseFalsePro & Farm650,000$188,462$0$0$No650,000$--------650,000$--------No--------Lien
Petr KvacaIcehogs (Chi)G231997-01-01CZENo169 Lbs6 ft1NoNoFree AgentNoNo12025-09-03FalseFalsePro & Farm550,000$159,467$0$0$No---------------------------Lien
Sergey TolchinskyIcehogs (Chi)LW251995-01-01RUSNo185 Lbs5 ft7NoNoFree AgentNoNo22025-10-28FalseFalsePro & Farm750,000$217,456$0$0$No750,000$--------750,000$--------No--------Lien
Zach WhitecloudIcehogs (Chi)D241996-01-01CANYes209 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm600,000$173,964$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2722.41190 Lbs6 ft01.78678,704$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sergey TolchinskyAndrew PoturalskiNikita Scherbak40122
2Nils HoglanderConnor ZaryJJ. Piccinich30122
3Gabriel FortierClark BishopMitchell Chaffee20122
4Max JonesAntoine MorandJaedon Descheneau10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Julius HonkaJeremy Davies40122
2Calle AnderssonZach Whitecloud30122
3Declan ChisholmEamon Powell20122
4Julius HonkaJeremy Davies10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sergey TolchinskyAndrew PoturalskiNikita Scherbak60122
2Nils HoglanderConnor ZaryJJ. Piccinich40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Julius HonkaJeremy Davies60122
2Calle AnderssonZach Whitecloud40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Andrew PoturalskiSergey Tolchinsky60122
2Connor ZaryNils Hoglander40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Julius HonkaJeremy Davies60122
2Calle AnderssonZach Whitecloud40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andrew Poturalski60122Julius HonkaJeremy Davies60122
2Connor Zary40122Calle AnderssonZach Whitecloud40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Andrew PoturalskiSergey Tolchinsky60122
2Connor ZaryNils Hoglander40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Julius HonkaJeremy Davies60122
2Calle AnderssonZach Whitecloud40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sergey TolchinskyAndrew PoturalskiNikita ScherbakJulius HonkaJeremy Davies
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sergey TolchinskyAndrew PoturalskiNikita ScherbakJulius HonkaJeremy Davies
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Gabriel Fortier, JJ. Piccinich, Max JonesGabriel Fortier, JJ. PiccinichGabriel Fortier
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Zach Whitecloud, Declan Chisholm, Eamon PowellZach WhitecloudZach Whitecloud, Declan Chisholm
Tirs de pénalité
Sergey Tolchinsky, Nikita Scherbak, Andrew Poturalski, Nils Hoglander, Gabriel Fortier
Gardien
#1 : Mackenzie Blackwood, #2 : Oscar Dansk
Lignes d’attaque personnalisées en prolongation
Sergey Tolchinsky, Nikita Scherbak, Andrew Poturalski, Nils Hoglander, Gabriel Fortier, JJ. Piccinich, Max Jones, Connor Zary, Clark Bishop, Mitchell Chaffee
Lignes de défense personnalisées en prolongation
Julius Honka, Jeremy Davies, Calle Andersson, Zach Whitecloud, Declan Chisholm


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
1Admirals20101000711-41010000038-51000100043120.5007121900628381185658666963533721318586350.00%10280.00%0725131655.09%648128050.63%51198351.98%121867812525451054518
2Americans32100000161061010000024-222000000146840.667162541006283811885586669635331054139659333.33%17476.47%1725131655.09%648128050.63%51198351.98%121867812525451054518
3Barracuda2010100067-1100010004311010000024-220.50067130062838118655866696353365201632400.00%8275.00%0725131655.09%648128050.63%51198351.98%121867812525451054518
4Bears3110100013112100010004312110000098140.667132235006283811897586669635331023322656233.33%11463.64%0725131655.09%648128050.63%51198351.98%121867812525451054518
5Canucks6310020024195320001001310331100100119280.667243963006283811818958666963533182835814016531.25%29679.31%0725131655.09%648128050.63%51198351.98%121867812525451054518
6Checkers11000000431110000004310000000000021.0004812006283811839586669635333661920200.00%3166.67%0725131655.09%648128050.63%51198351.98%121867812525451054518
7Comets11000000532000000000001100000053221.0005914006283811833586669635334781019100.00%50100.00%1725131655.09%648128050.63%51198351.98%121867812525451054518
8Condors30300000712-51010000024-22020000058-300.00071320006283811898586669635339238106210110.00%5180.00%0725131655.09%648128050.63%51198351.98%121867812525451054518
9Crunch20200000610-41010000025-31010000045-100.0006111700628381186058666963533651920344250.00%10370.00%0725131655.09%648128050.63%51198351.98%121867812525451054518
10Eagles11000000871110000008710000000000021.0008122000628381184058666963533301510185120.00%5340.00%0725131655.09%648128050.63%51198351.98%121867812525451054518
11Firebirds1010000045-1000000000001010000045-100.000461000628381182958666963533361410175120.00%5260.00%0725131655.09%648128050.63%51198351.98%121867812525451054518
12Griffins10001000541000000000001000100054121.00058130062838118335866696353334121212000%6266.67%0725131655.09%648128050.63%51198351.98%121867812525451054518
13Gulls10001000541100010005410000000000021.000591400628381183558666963533301512205240.00%6183.33%0725131655.09%648128050.63%51198351.98%121867812525451054518
14Islander11000000725110000007250000000000021.00071017006283811831586669635332281025200.00%5180.00%1725131655.09%648128050.63%51198351.98%121867812525451054518
15Little Stars32001000191092200000014681000100054161.00019304900628381181175866696353310527236913323.08%9366.67%1725131655.09%648128050.63%51198351.98%121867812525451054518
16Marlies210000101064100000104311100000063341.00010152500628381186058666963533752610377228.57%5260.00%0725131655.09%648128050.63%51198351.98%121867812525451054518
17Moose501020112527-22000100110100301010101517-270.700254570006283811818058666963533164553512628725.00%15566.67%1725131655.09%648128050.63%51198351.98%121867812525451054518
18Penguins22000000734110000005231100000021141.0007101700628381185858666963533572016425120.00%8187.50%0725131655.09%648128050.63%51198351.98%121867812525451054518
19Punishers413000001518-331200000131301010000025-320.25015213600628381181305866696353313043269114535.71%13376.92%0725131655.09%648128050.63%51198351.98%121867812525451054518
20Roadrunners30200010812-4100000104312020000049-520.3338111900628381188958666963533983322477228.57%11281.82%0725131655.09%648128050.63%51198351.98%121867812525451054518
21Rockets20101000810-2100010005411010000036-320.5008142200628381187258666963533711910435240.00%5180.00%0725131655.09%648128050.63%51198351.98%121867812525451054518
22Senators404000001325-12303000001119-81010000026-400.00013233600628381181385866696353313637438115426.67%19857.89%2725131655.09%648128050.63%51198351.98%121867812525451054518
23Thunderbirds1010000045-1000000000001010000045-100.0004711006283811840586669635332676207228.57%30100.00%0725131655.09%648128050.63%51198351.98%121867812525451054518
24Wolfpack20001010752100000104311000100032141.0007121900628381186958666963533632610397114.29%5260.00%0725131655.09%648128050.63%51198351.98%121867812525451054518
25Wranglers21000100761110000005321000010023-130.75071219006283811866586669635334321105911327.27%4175.00%0725131655.09%648128050.63%51198351.98%121867812525451054518
Total58172301034124023552910905131129119102971405210111116-5660.5692403916310062838118190958666963533188663947712411945226.80%2226072.97%7725131655.09%648128050.63%51198351.98%121867812525451054518
_Since Last GM Reset58172301034124023552910905131129119102971405210111116-5660.5692403916310062838118190958666963533188663947712411945226.80%2226072.97%7725131655.09%648128050.63%51198351.98%121867812525451054518
_Vs Conference38101805221158162-41968021118382119410031107580-5370.487158258416006283811812505866696353312344183128491333727.82%1473973.47%6725131655.09%648128050.63%51198351.98%121867812525451054518
_Vs Division1847022217276-49320111140364915011103240-8190.52872116188006283811858858666963533574214141404651929.23%681676.47%1725131655.09%648128050.63%51198351.98%121867812525451054518

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5866L224039163119091886639477124100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
58172310341240235
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
291095131129119
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
297145210111116
Derniers 10 matchs
WLOTWOTL SOWSOL
181000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1945226.80%2226072.97%7
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
5866696353362838118
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
725131655.09%648128050.63%51198351.98%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
121867812525451054518


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
15Canucks2Icehogs4WSommaire du match
211Icehogs2Punishers5LSommaire du match
638Senators9Icehogs5LSommaire du match
856Roadrunners3Icehogs4WXXSommaire du match
963Icehogs1Roadrunners5LSommaire du match
1383Admirals8Icehogs3LSommaire du match
17105Senators5Icehogs3LSommaire du match
19119Icehogs8Canucks3WSommaire du match
20126Icehogs5Moose4WXSommaire du match
21136Moose6Icehogs5LXXSommaire du match
25158Punishers3Icehogs5WSommaire du match
27169Icehogs2Canucks4LSommaire du match
28177Icehogs6Moose5WXXSommaire du match
30187Canucks5Icehogs4LXSommaire du match
35210Condors4Icehogs2LSommaire du match
37226Icehogs3Wolfpack2WXSommaire du match
39235Icehogs4Firebirds5LSommaire du match
40242Marlies3Icehogs4WXXSommaire du match
43262Bears3Icehogs4WXSommaire du match
45275Icehogs3Rockets6LSommaire du match
47287Barracuda3Icehogs4WXSommaire du match
49301Icehogs2Barracuda4LSommaire du match
51314Rockets4Icehogs5WXSommaire du match
53322Icehogs5Griffins4WXSommaire du match
55335Icehogs4Thunderbirds5LSommaire du match
56345Little Stars4Icehogs5WSommaire du match
59361Icehogs6Marlies3WSommaire du match
60370Icehogs4Condors5LSommaire du match
61376Gulls4Icehogs5WXSommaire du match
64394Wolfpack3Icehogs4WXXSommaire du match
66409Icehogs7Americans2WR1Sommaire du match
67421Checkers3Icehogs4WSommaire du match
70437Icehogs2Senators6LSommaire du match
72449Eagles7Icehogs8WSommaire du match
74466Icehogs4Moose8LSommaire du match
76475Islander2Icehogs7WSommaire du match
78484Icehogs6Bears4WSommaire du match
80499Senators5Icehogs3LSommaire du match
82511Icehogs5Little Stars4WXSommaire du match
84524Penguins2Icehogs5WSommaire du match
86540Icehogs1Canucks2LXSommaire du match
88552Little Stars2Icehogs9WSommaire du match
90563Icehogs7Americans4WR1Sommaire du match
92578Wranglers3Icehogs5WSommaire du match
94590Icehogs4Admirals3WXSommaire du match
96604Canucks3Icehogs5WSommaire du match
98614Icehogs2Wranglers3LXSommaire du match
100626Icehogs5Comets3WSommaire du match
101634Moose4Icehogs5WXSommaire du match
103647Icehogs3Bears4LSommaire du match
104661Americans4Icehogs2LR1Sommaire du match
107678Icehogs4Crunch5LSommaire du match
109686Crunch5Icehogs2LSommaire du match
111705Icehogs1Condors3LSommaire du match
113713Punishers5Icehogs4LSommaire du match
114719Icehogs2Penguins1WSommaire du match
117736Punishers5Icehogs4LSommaire du match
119749Icehogs3Roadrunners4LSommaire du match
121761Icehogs-Checkers-
122771Senators-Icehogs-
125791Moose-Icehogs-
127804Icehogs-Gulls-
129811Icehogs-Checkers-
130819Icehogs-Punishers-
132827Griffins-Icehogs-
135848Firebirds-Icehogs-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
138867Icehogs-Thunderbirds-
139876Comets-Icehogs-
142895Admirals-Icehogs-
147917Roadrunners-Icehogs-
148929Icehogs-Roadrunners-
150941Roadrunners-Icehogs-
153959Icehogs-Gulls-
154967Icehogs-Eagles-
156977Thunderbirds-Icehogs-
157981Icehogs-Punishers-
160999Griffins-Icehogs-
1631012Icehogs-Islander-
1641021Admirals-Icehogs-
1661030Icehogs-Islander-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance54,31927,372
Assistance PCT93.65%94.39%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
11 2817 - 93.90% 177,313$5,142,070$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,702,804$ 1,832,500$ 1,832,500$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,399$ 1,261,698$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,950,440$ 49 14,393$ 705,257$




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

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

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 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