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Icehogs
GP: 28 | W: 19 | L: 8 | OTL: 1 | P: 39
GF: 127 | GA: 98 | PP%: 24.56% | PK%: 78.51%
DG: Charles Claveau-Fortin | Morale : 53 | Moyenne d’équipe : 65
Prochains matchs #391 vs Eagles
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Centre de jeu
Icehogs
19-8-1, 39pts
6
FINAL
4 Barracuda
15-13-2, 32pts
Team Stats
W2SéquenceL3
9-5-1Fiche domicile8-4-2
10-3-0Fiche domicile7-9-0
7-3-0Derniers 10 matchs4-5-1
4.54Buts par match 3.90
3.50Buts contre par match 4.10
24.56%Pourcentage en avantage numérique14.75%
78.51%Pourcentage en désavantage numérique77.24%
Condors
18-10-1, 37pts
1
FINAL
3 Icehogs
19-8-1, 39pts
Team Stats
L1SéquenceW2
10-3-1Fiche domicile9-5-1
8-7-0Fiche domicile10-3-0
8-2-0Derniers 10 matchs7-3-0
4.45Buts par match 4.54
4.21Buts contre par match 3.50
16.10%Pourcentage en avantage numérique24.56%
80.31%Pourcentage en désavantage numérique78.51%
Icehogs
19-8-1, 39pts
Jour 77
Eagles
14-9-4, 32pts
Statistiques d’équipe
W2SéquenceL1
9-5-1Fiche domicile6-6-3
10-3-0Fiche visiteur8-3-1
7-3-010 derniers matchs6-3-1
4.54Buts par match 4.00
3.50Buts contre par match 4.00
24.56%Pourcentage en avantage numérique13.48%
78.51%Pourcentage en désavantage numérique77.78%
Comets
16-10-3, 35pts
Jour 78
Icehogs
19-8-1, 39pts
Statistiques d’équipe
L1SéquenceW2
7-5-2Fiche domicile9-5-1
9-5-1Fiche visiteur10-3-0
5-4-110 derniers matchs7-3-0
4.14Buts par match 4.54
3.83Buts contre par match 4.54
20.19%Pourcentage en avantage numérique24.56%
81.94%Pourcentage en désavantage numérique78.51%
Little Stars
9-17-3, 21pts
Jour 82
Icehogs
19-8-1, 39pts
Statistiques d’équipe
OTL2SéquenceW2
4-9-1Fiche domicile9-5-1
5-8-2Fiche visiteur10-3-0
4-4-210 derniers matchs7-3-0
3.90Buts par match 4.54
4.86Buts contre par match 4.54
20.19%Pourcentage en avantage numérique24.56%
79.25%Pourcentage en désavantage numérique78.51%
Meneurs d'équipe
Buts
Hudson Fasching
22
Passes
Hudson Fasching
25
Points
Hudson Fasching
47
Plus/Moins
Mikhail Grigorenko
19
Victoires
Mackenzie Blackwood
15
Pourcentage d’arrêts
Oscar Dansk
0.916

Statistiques d’équipe
Buts pour
127
4.54 GFG
Tirs pour
984
35.14 Avg
Pourcentage en avantage numérique
24.6%
28 GF
Début de zone offensive
36.9%
Buts contre
98
3.50 GAA
Tirs contre
916
32.71 Avg
Pourcentage en désavantage numérique
78.5%%
26 GA
Début de la zone défensive
36.8%
Informations de l'équipe

Directeur généralCharles Claveau-Fortin
EntraîneurDoug Gilmour
DivisionJohn-Ahearne
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,791
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
1Mikhail GrigorenkoX100.006729757174817875858481656664583555740251975,000$
2Hudson FaschingX100.007224798282768075747579637562554155730241950,000$
3Dillon Dube (R)X100.007534846580747272776879606549455360690211950,000$
4Andrew PoturalskiX100.007936857873726767776767627254534760690251900,000$
5Nikita Scherbak (R)X100.006929796781717171726978597147494260680231925,000$
6Ben JohnsonX100.007140687467657168637167506051533353650251500,000$
7Maxim Letunov (R)X100.005744726561686864676469546546463348630231500,000$
8Clark Bishop (R)X100.005436866465736154647159606447484047620232600,000$
9Ross JohnstonX100.009160696084588059545763486651533860620251500,000$
10JJ. Piccinich (R)X100.007543636472536763496760635445453760610231500,000$
11Gabriel Fortier (R)X100.005940726666686564676560515842427060610191500,000$
12Mitchell Chaffee (R)X100.005945656966676665675157615443434860600214500,000$
13Patrick SieloffX100.007637718172776974577065765969533260720251900,000$
14Julius Honka (R)X100.0071458471717476716569707771625044607102311,000,000$
15Jeremy Davies (R)X100.006538797163557078508661614349514346670231600,000$
16Calle AnderssonX100.006722737465676972577257666054513060660251800,000$
17Declan Chisholm (R)X100.005332756450576475226950554041416060580191500,000$
18Nikita Okhotyuk (R)X100.007340524864634951205844473243435524550192500,000$
Rayé
1Trevor Zegras (R)X96.874937808253685987646271607540409348670182500,000$
2Antoine Morand (R)X100.006250686657635255686463606642455819610202500,000$
3Kristian Reichel (R)X100.006345726272707356556162536143444919600214500,000$
4Jackson Cates (R)X100.005230817463726855646348595945464519600222500,000$
5Egor Afanasyev (R)X100.004943694962485855575454515240406520530182500,000$
6Zach Whitecloud (R)X95.316231707066656859406848655750483349630232600,000$
MOYENNE D’ÉQUIPE99.67653874686867686660676359604948474864
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 Blackwood98.007676767573777376757677605350677402321,750,000$
2Oscar Dansk100.00716065697865656462587051533467660251600,000$
Rayé
1Petr Kvaca100.00497152685758637668696046454326620221500,000$
MOYENNE D’ÉQUIPE99.3365696471696767726868695250425367
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Gilmour67668070378057CAN521700,000$


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
1Hudson FaschingIcehogs (Chi)RW24222547141004530116446518.97%645518.99710172675000042156.76%37327012.0623000514
2Dillon DubeIcehogs (Chi)C281723401640447573224323.29%1162922.4951116129302241063353.19%925817001.2713000353
3Mikhail GrigorenkoIcehogs (Chi)LW25162238191403241109346414.68%1455722.30471118820003912068.33%602410011.3601000211
4Trevor ZegrasIcehogs (Chi)LW251519346140332889365916.85%1349619.87561117730113601246.55%1162911001.3711000502
5Patrick SieloffIcehogs (Chi)D28622281946065616734268.96%4377627.741458105011196110%01533000.7200000113
6Andrew PoturalskiIcehogs (Chi)C2862026134038427414318.11%1246516.620444591015441051.22%3282110101.1202000031
7Julius HonkaIcehogs (Chi)D27417211912045624519308.89%5276228.2424691031013107110%01124000.5500000011
8Nikita ScherbakIcehogs (Chi)RW28813219160514480202610.00%848717.4043719790001291250.00%28117000.8601000020
9Ben JohnsonIcehogs (Chi)C238816-3220212668194511.76%628112.26000020000181043.26%141164001.1400000000
10Gabriel FortierIcehogs (Chi)LW2811516460141445172424.44%32689.600000100013200%562001.1900000110
11Jeremy DaviesIcehogs (Chi)D21012123202225251470%2840219.16000349000047000%089000.6000000000
12Calle AnderssonIcehogs (Chi)D282911312031354622244.35%2559021.10000466000086000%0725000.3700000001
13JJ. PiccinichIcehogs (Chi)RW2834731204123338219.09%1133311.91000016000000033.33%955000.4200000001
14Declan ChisholmIcehogs (Chi)D281565408161010410.00%2435312.6200001000018000%028000.3400000000
15Zach WhitecloudIcehogs (Chi)D25066-34151836172100%2137414.99000016000236000%0413000.3200001000
16Maxim LetunovIcehogs (Chi)C21325-16013835798.57%51677.9600000000000050.77%6585000.6000000100
17Ross JohnstonIcehogs (Chi)LW28134-11804817155176.67%838313.680002250000250052.63%1943000.2100000000
18Clark BishopIcehogs (Chi)C221231005713087.69%31004.5501102000131053.13%3220000.6000000000
19Mitchell ChaffeeIcehogs (Chi)RW28112-3402016235184.35%42197.8400000000001055.56%925000.1800000000
20Nikita OkhotyukIcehogs (Chi)D90223801031110%410511.680000000001000%012000.3800000000
21Kristian ReichelIcehogs (Chi)C3000120000000%1124.140000000000000%00000000000000
22Jackson CatesIcehogs (Chi)C2000000000000%021.28000000000100100.00%10000000000000
23Antoine MorandIcehogs (Chi)C2000000000000%000.290000000000000%00000000000000
24Egor AfanasyevIcehogs (Chi)LW4000-100300110%0246.130000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne513125220345126257560760998433453312.70%302825116.0928507812285624624784171051.80%1776216200120.84411001181517
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)2315700.8903.5613642081737369110.7508235111
2Oscar DanskIcehogs (Chi)64110.9162.733300015178100000.3333523110
Statistiques d’équipe totales ou en moyenne2919810.8953.401695209691546911112828221


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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond 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
Andrew PoturalskiIcehogs (Chi)C251994-01-01No183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm900,000$579,208$0$0$No------------------
Antoine MorandIcehogs (Chi)C201999-01-01Yes190 Lbs5 ft11NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$321,782$0$0$No500,000$--------No--------Lien
Ben JohnsonIcehogs (Chi)C251994-01-01No188 Lbs5 ft11NoNoFree AgentNoNo12024-10-28FalseFalsePro & Farm500,000$321,782$0$0$No------------------
Calle AnderssonIcehogs (Chi)D251994-01-01No211 Lbs6 ft2NoNoFree AgentNoNo12024-09-01FalseFalsePro & Farm800,000$514,851$0$0$No------------------
Clark BishopIcehogs (Chi)C231996-01-01Yes199 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm600,000$386,139$0$0$No700,000$--------No--------
Declan ChisholmIcehogs (Chi)D192000-01-01Yes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$321,782$0$0$No------------------
Dillon DubeIcehogs (Chi)C211998-01-01Yes187 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm950,000$611,386$0$0$No------------------
Egor AfanasyevIcehogs (Chi)LW182001-01-01Yes212 Lbs6 ft4NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$321,782$0$0$No500,000$--------No--------Lien
Gabriel FortierIcehogs (Chi)LW192000-01-01Yes177 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$321,782$0$0$No------------------
Hudson FaschingIcehogs (Chi)RW241995-01-01No185 Lbs6 ft2NoNoFree AgentNoNo12024-09-01FalseFalsePro & Farm950,000$611,386$0$0$No------------------
JJ. PiccinichIcehogs (Chi)RW231996-01-01Yes185 Lbs6 ft0NoNoFree AgentNoNo12024-09-01FalseFalsePro & Farm500,000$321,782$0$0$No------------------
Jackson CatesIcehogs (Chi)C221997-01-01Yes190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$321,782$0$0$No500,000$--------No--------
Jeremy DaviesIcehogs (Chi)D231996-01-01Yes181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm600,000$386,139$0$0$No------------------
Julius HonkaIcehogs (Chi)D231996-01-01Yes180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$643,564$0$0$No------------------
Kristian ReichelIcehogs (Chi)C211998-01-01Yes168 Lbs6 ft0NoNoFree AgentNoNo42024-09-01FalseFalsePro & Farm500,000$321,782$0$0$No500,000$500,000$500,000$------NoNoNo------
Mackenzie BlackwoodIcehogs (Chi)G231996-01-01No225 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm1,750,000$1,126,238$0$0$No2,000,000$--------No--------
Maxim LetunovIcehogs (Chi)C231996-01-01Yes185 Lbs6 ft4NoNoFree AgentNoNo12024-09-01FalseFalsePro & Farm500,000$321,782$0$0$No------------------
Mikhail GrigorenkoIcehogs (Chi)LW251994-01-01No200 Lbs6 ft3NoNoFree AgentNoNo12024-09-01FalseFalsePro & Farm975,000$627,475$0$0$No------------------
Mitchell ChaffeeIcehogs (Chi)RW211998-01-01Yes201 Lbs6 ft1NoNoFree AgentNoNo42024-09-01FalseFalsePro & Farm500,000$321,782$0$0$No500,000$500,000$500,000$------NoNoNo------
Nikita OkhotyukIcehogs (Chi)D192000-01-01Yes194 Lbs6 ft1NoNoTrade2024-11-18NoNo22024-07-10FalseFalsePro & Farm500,000$321,782$0$0$No500,000$--------No--------Lien
Nikita ScherbakIcehogs (Chi)RW231996-01-01Yes192 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm925,000$595,297$0$0$No------------------
Oscar DanskIcehogs (Chi)G251994-01-01No187 Lbs6 ft2NoNoFree AgentNoNo12024-09-01FalseFalsePro & Farm600,000$386,139$0$0$No------------------
Patrick SieloffIcehogs (Chi)D251994-01-01No192 Lbs6 ft0NoNoFree AgentNoNo12024-09-01FalseFalsePro & Farm900,000$579,208$0$0$No------------------
Petr KvacaIcehogs (Chi)G221997-01-01No169 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$321,782$0$0$No------------------
Ross JohnstonIcehogs (Chi)LW251994-01-01No235 Lbs6 ft5NoNoFree AgentNoNo12024-09-01FalseFalsePro & Farm500,000$321,782$0$0$No------------------
Trevor ZegrasIcehogs (Chi)LW182001-01-01Yes185 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$321,782$0$0$No500,000$--------No--------Lien
Zach WhitecloudIcehogs (Chi)D231996-01-01Yes209 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm600,000$386,139$0$0$No600,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2722.33192 Lbs6 ft11.52687,037$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikhail GrigorenkoDillon DubeHudson Fasching40122
2Ross JohnstonAndrew PoturalskiNikita Scherbak30122
3Gabriel FortierBen JohnsonJJ. Piccinich20122
4Mikhail GrigorenkoMaxim LetunovMitchell Chaffee10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Patrick SieloffJulius Honka40122
2Jeremy DaviesCalle Andersson30122
3Declan ChisholmNikita Okhotyuk20122
4Patrick SieloffJulius Honka10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikhail GrigorenkoDillon DubeHudson Fasching60122
2Ross JohnstonAndrew PoturalskiNikita Scherbak40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Patrick SieloffJulius Honka60122
2Jeremy DaviesCalle Andersson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dillon DubeMikhail Grigorenko60122
2Andrew PoturalskiRoss Johnston40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Patrick SieloffJulius Honka60122
2Jeremy DaviesCalle Andersson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dillon Dube60122Patrick SieloffJulius Honka60122
2Andrew Poturalski40122Jeremy DaviesCalle Andersson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dillon DubeMikhail Grigorenko60122
2Andrew PoturalskiRoss Johnston40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Patrick SieloffJulius Honka60122
2Jeremy DaviesCalle Andersson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikhail GrigorenkoDillon DubeHudson FaschingPatrick SieloffJulius Honka
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikhail GrigorenkoDillon DubeHudson FaschingPatrick SieloffJulius Honka
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikita Scherbak, Ben Johnson, Maxim LetunovNikita Scherbak, Ben JohnsonNikita Scherbak
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Calle Andersson, Declan Chisholm, Nikita OkhotyukCalle AnderssonCalle Andersson, Declan Chisholm
Tirs de pénalité
Mikhail Grigorenko, Hudson Fasching, Dillon Dube, Andrew Poturalski, Nikita Scherbak
Gardien
#1 : Mackenzie Blackwood, #2 : Oscar Dansk
Lignes d’attaque personnalisées en prolongation
Mikhail Grigorenko, Hudson Fasching, Dillon Dube, Andrew Poturalski, Nikita Scherbak, Ben Johnson, Ben Johnson, Maxim Letunov, Ross Johnston, Clark Bishop, JJ. Piccinich
Lignes de défense personnalisées en prolongation
Patrick Sieloff, Julius Honka, Jeremy Davies, Calle Andersson, 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
1Admirals42101000181082100100012392110000067-160.7501833510040463851313143533111712641387820210.00%19478.95%033865251.84%34365052.77%23946351.62%597339596263502247
2Americans5410000025151033000000166102110000099080.80025416600404638517831435331117138505912029517.24%22768.18%133865251.84%34365052.77%23946351.62%597339596263502247
3Barracuda11000000642000000000001100000064221.00061016004046385383143533111735164174125.00%20100.00%033865251.84%34365052.77%23946351.62%597339596263502247
4Condors11000000312110000003120000000000021.0003470040463853531435331117338824200.00%40100.00%033865251.84%34365052.77%23946351.62%597339596263502247
5Crunch11000000523000000000001100000052321.000591400404638543314353311173594163266.67%20100.00%033865251.84%34365052.77%23946351.62%597339596263502247
6Eagles1010000035-2000000000001010000035-200.0003690040463852831435331117286418300.00%20100.00%033865251.84%34365052.77%23946351.62%597339596263502247
7Griffins11000000312000000000001100000031221.000369004046385273143533111739101215000%60100.00%033865251.84%34365052.77%23946351.62%597339596263502247
8Gulls1010000035-21010000035-20000000000000.000369004046385313143533111739108233133.33%40100.00%033865251.84%34365052.77%23946351.62%597339596263502247
9Islander211000005411010000013-21100000041320.500510151040463856231435331117672822465240.00%11190.91%033865251.84%34365052.77%23946351.62%597339596263502247
10Little Stars11000000431000000000001100000043121.000481200404638534314353311172711612600.00%30100.00%133865251.84%34365052.77%23946351.62%597339596263502247
11Marlies11000000532000000000001100000053221.000581300404638537314353311173384244125.00%2150.00%033865251.84%34365052.77%23946351.62%597339596263502247
12Moose11000000761110000007610000000000021.0007132000404638548314353311173366183133.33%3233.33%033865251.84%34365052.77%23946351.62%597339596263502247
13Penguins1000000156-11000000156-10000000000010.50059140040463854331435331117321582622100.00%4175.00%033865251.84%34365052.77%23946351.62%597339596263502247
14Senators310000201713420000020121021100000053261.0001725420040463851103143533111711247407815853.33%20670.00%033865251.84%34365052.77%23946351.62%597339596263502247
15Thunderbirds21100000121021010000067-11100000063320.5001222340040463857631435331117732016415120.00%7185.71%033865251.84%34365052.77%23946351.62%597339596263502247
16Wolfpack1010000046-21010000046-20000000000000.000461000404638529314353311173298245120.00%4175.00%033865251.84%34365052.77%23946351.62%597339596263502247
17Wranglers1010000024-21010000024-20000000000000.000246004046385343143533111734812275120.00%6266.67%033865251.84%34365052.77%23946351.62%597339596263502247
Total281680102112798291565010217157141310300000564115390.696127220347104046385984314353311179163022596071142824.56%1212678.51%233865251.84%34365052.77%23946351.62%597339596263502247
_Since Last GM Reset281680102112798291565010217157141310300000564115390.696127220347104046385984314353311179163022596071142824.56%1212678.51%233865251.84%34365052.77%23946351.62%597339596263502247
_Vs Conference19124010208962271162010205535208620000034277300.7898915023900404638566931435331117622204191424852023.53%882275.00%133865251.84%34365052.77%23946351.62%597339596263502247
_Vs Division127201020603822740010204019215320000020191200.833609915900404638541931435331117376138137276641523.44%611772.13%133865251.84%34365052.77%23946351.62%597339596263502247

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2839W212722034798491630225960710
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
28168102112798
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
156510217157
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1310300005641
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1142824.56%1212678.51%2
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
314353311174046385
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
33865251.84%34365052.77%23946351.62%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
597339596263502247


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
29Islander3Icehogs1LSommaire du match
523Icehogs3Eagles5LSommaire du match
629Icehogs4Americans3WR1Sommaire du match
944Admirals1Icehogs9WSommaire du match
1052Icehogs3Admirals2WSommaire du match
1572Admirals2Icehogs3WXSommaire du match
1778Icehogs4Islander1WSommaire du match
2097Senators4Icehogs5WXXSommaire du match
21105Icehogs3Griffins1WSommaire du match
24123Americans1Icehogs4WR1Sommaire du match
26132Icehogs5Americans6LSommaire du match
28143Icehogs5Senators3WSommaire du match
30153Penguins6Icehogs5LXXSommaire du match
32169Senators6Icehogs7WXXSommaire du match
34177Icehogs5Marlies3WSommaire du match
38196Americans4Icehogs6WR1Sommaire du match
40206Icehogs3Admirals5LSommaire du match
45225Wranglers4Icehogs2LSommaire du match
48243Thunderbirds7Icehogs6LSommaire du match
50251Icehogs5Crunch2WSommaire du match
53270Gulls5Icehogs3LSommaire du match
58292Americans1Icehogs6WR1Sommaire du match
60301Icehogs4Little Stars3WSommaire du match
62315Moose6Icehogs7WSommaire du match
66338Icehogs6Thunderbirds3WSommaire du match
67345Wolfpack6Icehogs4LSommaire du match
71363Icehogs6Barracuda4WSommaire du match
72372Condors1Icehogs3WSommaire du match
77391Icehogs-Eagles-
78398Comets-Icehogs-
82419Little Stars-Icehogs-
85440Icehogs-Rockets-
86444Marlies-Icehogs-
90465Icehogs-Checkers-
92471Checkers-Icehogs-
94485Icehogs-Comets-
96496Senators-Icehogs-
100510Icehogs-Senators-
102522Phantoms-Icehogs-
104528Icehogs-Americans-
106538Icehogs-Condors-
109553Icehogs-Eagles-
110559Canucks-Icehogs-
113577Icehogs-Penguins-
115586Firebirds-Icehogs-
117599Icehogs-Bears-
119608Admirals-Icehogs-
123630Moose-Icehogs-
125637Icehogs-Firebirds-
127652Icehogs-Griffins-
129659Penguins-Icehogs-
131677Icehogs-Punishers-
133685Icehogs-Griffins-
134691Punishers-Icehogs-
136708Icehogs-Wranglers-
138718Crunch-Icehogs-
141734Icehogs-Phantoms-
143743Phantoms-Icehogs-
145760Icehogs-Senators-
147766Bears-Icehogs-
149784Icehogs-Wranglers-
152794Islander-Icehogs-
156814Icehogs-Marlies-
157824Gulls-Icehogs-
160835Icehogs-Canucks-
161846Eagles-Icehogs-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
165866Condors-Icehogs-
167876Icehogs-Moose-
169883Icehogs-Wolfpack-
173900Islander-Icehogs-
175918Icehogs-Gulls-
177926Barracuda-Icehogs-
180943Rockets-Icehogs-
181950Icehogs-Admirals-
186975Rockets-Icehogs-
189988Icehogs-Islander-
191996Barracuda-Icehogs-
1931010Icehogs-Islander-
1951019Griffins-Icehogs-
1961022Icehogs-Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance28,00313,860
Assistance PCT93.34%92.40%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
25 2791 - 93.03% 176,023$2,640,341$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
893,946$ 1,855,000$ 1,607,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,183$ 639,975$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,400,568$ 130 12,649$ 1,644,370$




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