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Connexion

IceHogs
GP: 86 | W: 33 | L: 33 | OTL: 20 | P: 86
GF: 176 | GA: 232 | PP%: 28.14% | PK%: 69.70%
DG: Pradeep Kumar | Morale : 29 | Moyenne d’équipe : 57

Centre de jeu
Barracuda
52-27-7, 111pts
5
6 IceHogs
33-33-20, 86pts
Team Stats
W1SéquenceOTL1
25-15-3Fiche domicile17-17-9
27-12-4Fiche domicile16-16-11
1-8-1Derniers 10 matchs5-3-2
2.21Buts par match 2.05
1.94Buts contre par match 2.70
27.75%Pourcentage en avantage numérique28.14%
83.25%Pourcentage en désavantage numérique69.70%
Crunch
30-40-16, 76pts
2
1 IceHogs
33-33-20, 86pts
Team Stats
W5SéquenceOTL1
16-14-13Fiche domicile17-17-9
14-26-3Fiche domicile16-16-11
7-2-1Derniers 10 matchs5-3-2
2.13Buts par match 2.05
2.80Buts contre par match 2.70
26.40%Pourcentage en avantage numérique28.14%
69.42%Pourcentage en désavantage numérique69.70%
Meneurs d'équipe
Buts
Jaret Anderson-Dolan
29
Passes
Marc Gatcomb
36
Points
Jaret Anderson-Dolan
59
Sebastian Aho2Plus/Moins
Sebastian Aho2
5
Victoires
Remi Poirier
28
Pourcentage d’arrêts
Nick Grabko
0.887

Statistiques d’équipe
Buts pour
176
2.05 GFG
Tirs pour
1247
14.50 Avg
Pourcentage en avantage numérique
28.1%
47 GF
Début de zone offensive
34.2%
Buts contre
232
2.70 GAA
Tirs contre
1689
19.64 Avg
Pourcentage en désavantage numérique
69.7%%
60 GA
Début de la zone défensive
38.8%
Informations de l'équipe

Directeur généralPradeep Kumar
EntraîneurAndrew Doty
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,128
Billets de saison1,500


Informations de la formation

Équipe Pro29
Équipe Mineure25
Limite contact 54 / 100
Espoirs136


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
1Marc Gatcomb (R)X100.009861917974559160375772572550496756630262973,000$
2Max JonesXX100.0092478176805481572556586025686759346202821,392,000$
3Jaret Anderson-DolanXX100.0075728377727175597055586450626358596202611,172,000$
4Adam SykoraX100.0073639768658289575057545948474757616002131,279,000$
5Jesse YlonenX100.0077728966726364615061596253474759516002621,864,000$
6Anton Wahlberg (R)X100.0082759968775453617558606554474759566002031,286,000$
7Jackson Kunz (R)X100.0087839982853630597671446742464658275902331,385,000$
8Ondrej Becher (R)X100.0078719767735252536946566154474757545602231,278,000$
9Mark SendenX100.0075718866725353546952536150474755485602812,999,000$
10Ryan McGregorX100.007971986371474651655246634445455422540272991,000$
11Gavin Hayes (R)X100.0072669566686265485048455844474652405402231,279,000$
12Kyle CapobiancoX100.0073746767747681582557426239565754516202821,305,000$
13Adam Ginning (R)X100.007674746774778550254243593848485139600261925,000$
14Guillaume Richard (R)X100.0072708282725049562546516048464656235802331,297,000$
15Gavin WhiteX100.0074689465706064462538395838474750195602331,271,000$
16Daniil Misyul (R)X100.0071688167686165462537405737474748545602531,348,000$
17Sebastian Aho2X100.0071649164645050532552405837474850445503011,995,000$
18Hunter SkinnerX100.006974636675545649253845584345455121550252999,000$
Rayé
1Sam BittenXXX100.0075816162815052475943445943454550195202612,999,000$
2Lucas EdmondsX100.007164876364474651504751594844445419520251950,000$
3Adam ErneXXX100.0077777760773634475945446142444451175003111,000,000$
4Brennan SaulnierX100.0057644063644646505047485246444450185003212,999,000$
5Luke Prokop (R)X87.9286849363865254452536396438474750335702431,352,000$
6Hank Kempf (R)X100.0082759980753531532552396537444455205702400$
7Travis MitchellX100.0073786563785254462536405839454548195402612,999,000$
8Tyler Inamoto (R)X100.0076728561723634492543396137444451185302731,320,000$
MOYENNE D’ÉQUIPE99.54777184687354585343494860424848543557
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
1Nick Grabko (R)100.004440506945904650918145444460566002611,000,000$
2Jordan Papirny100.004440507045894549908145444460435903011,000,000$
Rayé
1Remi Poirier100.00564050805962626266603047465373590241836,667$
MOYENNE D’ÉQUIPE100.0048405073508051548274404545585759
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Andrew Doty40404040404040TUR8111,000,000$


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
1Jaret Anderson-DolanIceHogs (CHI)C/RW84293059-1310145106152169338917.16%32174220.74101222319211261119146.99%3495020010.68411333743
2Anton WahlbergIceHogs (CHI)C82242347-143735991271524410215.79%43170920.859110221071016912355.34%6833525000.55413205273
3Marc GatcombIceHogs (CHI)C73113647-2027157010913239658.33%18131017.953161914760001333141.93%6754213000.7205102241
4Jesse YlonenIceHogs (CHI)RW86202343-143115110126121457216.53%25165419.237815171050002292244.27%1313318010.5229003425
5Max JonesIceHogs (CHI)LW/RW72162642-828010799110326214.55%22137919.1654911721126804135.85%2653113000.6112000704
6Adam SykoraIceHogs (CHI)LW86231942-76098142114336420.18%14187421.794591411300041254047.46%2762527100.45110000445
7Jackson KunzIceHogs (CHI)C78111425-151915457367244416.42%986411.08491316540000161059.51%5312310000.5823102121
8Kyle CapobiancoIceHogs (CHI)D8131922-24165351151356528274.62%70197024.33134594011474010%33241000.2200511110
9Adam GinningIceHogs (CHI)D8641620-141881001191477234295.56%76213324.8114512141011291000%02646000.19001910014
10Mark SendenIceHogs (CHI)C8010818-106830739342141923.81%19130516.3200006000011156.67%120618000.2814312050
11Ondrej BecherIceHogs (CHI)C869514-1120849140162322.50%9147017.100223932026533060.00%1501122000.1922000150
12Daniil MisyulIceHogs (CHI)D8621113-43356090227139.09%43155018.0317851221013159000%0821000.1700001001
13Luke ProkopIceHogs (CHI)D8501212-15565058943721160%69152017.89011254000094000%11132000.1600361000
14Sebastian Aho2IceHogs (CHI)D8438115603855237713.04%19111413.27000020011071110%9511000.2000000100
15Jake BeanBlackhawksD17268012101328251188.00%2844326.12044326000233000%0910100.3600011110
16Guillaume RichardIceHogs (CHI)D76257-821527471113518.18%1985011.19101124011125020%0812000.1601001010
17Gavin HayesIceHogs (CHI)LW79246-1603043257148.00%46558.30000030110150075.00%473000.1800000002
18Gavin WhiteIceHogs (CHI)D76134-975256912528.33%18114615.081011170111150025.00%4421000.0700100001
19Sam BittenIceHogs (CHI)C/LW/RW21022-215521170240%328913.7900003000080048.28%2961000.1400100000
20Ryan McGregorIceHogs (CHI)C2410120012642125.00%31656.8900001000000055.88%3411000.1200000000
21Adam ErneIceHogs (CHI)C/LW/RW2000-1175440000%02713.7500000000000066.67%30000000001000
22Lucas JohansenBlackhawksD62000-14025223220%34697.57000040000120012.50%80300000000000
23Lucas EdmondsIceHogs (CHI)RW2000000130000%0178.760000000000000%20000000000000
24Travis MitchellIceHogs (CHI)D41000120811010%0691.700000000001000%00100000000000
25Tyler InamotoIceHogs (CHI)D9000000000000%0141.660000000000000%00000000000000
26Hunter SkinnerIceHogs (CHI)D45000-100110000%0300.670000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1603173270443-18485137513491774124741966913.87%5462578116.08477612315712366814441147301349.53%3277373369220.341760212133313730
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
1Remi PoirierIceHogs (CHI)752829170.8742.444239081721369783030.50046752413
2Nick GrabkoIceHogs (CHI)115230.8871.90632022017782000.60010110020
3Magnus ChronaBlackhawks130200.8353.673760023139860100080000
Statistiques d’équipe totales ou en moyenne993333200.8722.465248010215168595104568682433


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
Adam ErneIceHogs (CHI)C/LW/RW311995-04-20USANo211 Lbs6 ft1NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Adam GinningIceHogs (CHI)D262000-01-13SWEYes196 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Adam SykoraIceHogs (CHI)LW212004-09-07SVKNo179 Lbs5 ft10NoNoTrade2025-10-15NoNo32025-10-22FalseFalsePro & Farm1,279,000$0$0$No1,279,000$1,279,000$-------1,279,000$1,279,000$-------NoNo-------Lien
Anton WahlbergIceHogs (CHI)C202005-07-04SWEYes198 Lbs6 ft4NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,286,000$0$0$No1,286,000$1,286,000$-------1,286,000$1,286,000$-------NoNo-------Lien
Brennan SaulnierIceHogs (CHI)LW321993-12-29NSNo170 Lbs6 ft0NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien
Daniil MisyulIceHogs (CHI)D252000-10-20BLRYes176 Lbs6 ft3NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,348,000$0$0$No1,348,000$1,348,000$-------1,348,000$1,348,000$-------NoNo-------Lien
Gavin HayesIceHogs (CHI)LW222004-05-14USAYes176 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,279,000$0$0$No1,279,000$1,279,000$-------1,279,000$1,279,000$-------NoNo-------Lien
Gavin WhiteIceHogs (CHI)D232002-11-12CANNo185 Lbs6 ft0NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,271,000$0$0$No1,271,000$1,271,000$-------1,271,000$1,271,000$-------NoNo-------Lien
Guillaume RichardIceHogs (CHI)D232003-02-10CANYes187 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,297,000$0$0$No1,297,000$1,297,000$-------1,297,000$1,297,000$-------NoNo-------Lien
Hank KempfIceHogs (CHI)D242002-04-15USAYes200 Lbs6 ft2NoNoProspectNoNo02025-10-16FalseFalsePro & Farm0$0$No---------------------------Lien
Hunter SkinnerIceHogs (CHI)D252001-04-29USANo198 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm999,000$0$0$No999,000$--------999,000$--------No--------Lien
Jackson KunzIceHogs (CHI)C232002-08-13USAYes227 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,385,000$0$0$No1,385,000$1,385,000$-------1,385,000$1,385,000$-------NoNo-------Lien
Jaret Anderson-DolanIceHogs (CHI)C/RW261999-09-12CANNo200 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,172,000$0$0$No---------------------------Lien
Jesse YlonenIceHogs (CHI)RW261999-10-03USANo193 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,864,000$0$0$No1,864,000$--------1,864,000$--------No--------Lien
Jordan PapirnyIceHogs (CHI)G301996-04-10ABNo185 Lbs6 ft1NoNoAssign ManuallyNoNo12026-02-03FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Kyle CapobiancoIceHogs (CHI)D281997-08-13CANNo198 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,305,000$0$0$No1,305,000$--------1,305,000$--------No--------Lien / Lien NHL
Lucas EdmondsIceHogs (CHI)RW252001-01-27ONTNo178 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No---------------------------Lien
Luke ProkopIceHogs (CHI)D242002-05-06CANYes223 Lbs6 ft5NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,352,000$0$0$No1,352,000$1,352,000$-------1,352,000$1,352,000$-------NoNo-------Lien
Marc GatcombIceHogs (CHI)C261999-07-22USAYes195 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm973,000$0$0$No973,000$--------973,000$--------No--------Lien
Mark SendenIceHogs (CHI)C281998-01-22USANo201 Lbs5 ft10NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien
Max JonesIceHogs (CHI)LW/RW281998-02-17USANo216 Lbs6 ft3NoNoTrade2025-01-22NoNo2FalseFalsePro & Farm1,392,000$0$0$No1,392,000$--------1,392,000$--------No--------Lien
Nick GrabkoIceHogs (CHI)G262000-02-06USAYes187 Lbs6 ft0NoNoAssign ManuallyNoNo12026-04-20FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Ondrej BecherIceHogs (CHI)C222004-02-22CZEYes190 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,278,000$0$0$No1,278,000$1,278,000$-------1,278,000$1,278,000$-------NoNo-------Lien
Remi PoirierIceHogs (CHI)G242001-10-06QUENo210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm836,667$0$0$No---------------------------Lien
Ryan McGregorIceHogs (CHI)C271999-01-29ONTNo195 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm991,000$0$0$No991,000$--------991,000$--------No--------Lien
Sam BittenIceHogs (CHI)C/LW/RW262000-03-21ONTNo220 Lbs6 ft2NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien
Sebastian Aho2IceHogs (CHI)D301996-02-17SWENo177 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,995,000$0$0$No---------------------------Lien / Lien NHL
Travis MitchellIceHogs (CHI)D261999-11-25USANo206 Lbs6 ft4NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$0$0$No---------------------------Lien
Tyler InamotoIceHogs (CHI)D271999-05-06USAYes194 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,320,000$0$0$No1,320,000$1,320,000$-------1,320,000$1,320,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.66196 Lbs6 ft11.861,430,816$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mark SendenMarc GatcombAnton Wahlberg40122
2Jesse YlonenJaret Anderson-DolanAdam Sykora30122
3Jesse YlonenJaret Anderson-DolanOndrej Becher20122
4Jesse YlonenJaret Anderson-DolanAdam Sykora10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gavin WhiteAdam Ginning40122
2Kyle CapobiancoGuillaume Richard30122
3Kyle CapobiancoAdam Ginning20122
4Daniil MisyulAdam Ginning10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jesse YlonenMarc GatcombAnton Wahlberg60122
2Ondrej BecherJaret Anderson-DolanAdam Sykora40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniil MisyulAdam Ginning60122
2Kyle CapobiancoGuillaume Richard40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Adam SykoraJaret Anderson-Dolan60122
2Ondrej BecherJesse Ylonen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Guillaume RichardDaniil Misyul60122
2Kyle CapobiancoAdam Ginning40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Adam Sykora60122Kyle CapobiancoDaniil Misyul60122
2Jaret Anderson-Dolan40122Gavin WhiteAdam Ginning40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jaret Anderson-DolanJesse Ylonen60122
2Adam SykoraOndrej Becher40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniil MisyulAdam Ginning60122
2Kyle CapobiancoGavin White40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marc GatcombJaret Anderson-DolanAnton WahlbergAdam GinningKyle Capobianco
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marc GatcombJaret Anderson-DolanAnton WahlbergAdam GinningKyle Capobianco
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ondrej Becher, Jaret Anderson-Dolan, Adam SykoraAdam Sykora, Jaret Anderson-DolanAdam Sykora
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kyle Capobianco, Adam Ginning, Daniil MisyulAdam GinningAdam Ginning, Kyle Capobianco
Tirs de pénalité
Adam Sykora, Jesse Ylonen, Anton Wahlberg, Jaret Anderson-Dolan, Ondrej Becher
Gardien
#1 : Nick Grabko, #2 : Jordan Papirny


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
1Admirals20000011220100000102111000000101-130.75022400245383301923141856098234213011100.00%30100.00%0558109550.96%606124048.87%45986353.19%1421472159898122341114
2Americans2020000025-31010000012-11010000013-200.0002460024538330292314185609846231733000%6350.00%0558109550.96%606124048.87%45986353.19%1421472159898122341114
3Barracuda623000011318-542100001121202020000016-550.4171321341124538330862314185609810524429814214.29%16475.00%0558109550.96%606124048.87%45986353.19%1421472159898122341114
4Bears30201000211-91010000004-42010100027-520.3332350024538330382314185609857171339200.00%4325.00%0558109550.96%606124048.87%45986353.19%1421472159898122341114
5Bruins3000100256-11000000112-12000100144040.667581300245383303623141856098378245100.00%110.00%0558109550.96%606124048.87%45986353.19%1421472159898122341114
6Canucks2010010069-31010000035-21000010034-110.250612180024538330242314185609845164236300.00%6433.33%0558109550.96%606124048.87%45986353.19%1421472159898122341114
7Checkers210001005411000010023-11100000031230.75057120024538330252314185609837116285480.00%30100.00%0558109550.96%606124048.87%45986353.19%1421472159898122341114
8Comets512000021012-22010000124-23110000188040.400101424102453833050231418560987815268310220.00%8362.50%0558109550.96%606124048.87%45986353.19%1421472159898122341114
9Condors2010100025-3100010002111010000004-420.5002240024538330292314185609851212130400.00%30100.00%0558109550.96%606124048.87%45986353.19%1421472159898122341114
10Crunch31001100752200011003301100000042250.833711180024538330302314185609841926495240.00%8275.00%0558109550.96%606124048.87%45986353.19%1421472159898122341114
11Eagles2010010016-51010000004-41000010012-110.2501230024538330262314185609825616315120.00%3166.67%0558109550.96%606124048.87%45986353.19%1421472159898122341114
12Griffins2110000045-1110000003211010000013-220.5004590024538330242314185609837916305120.00%3233.33%0558109550.96%606124048.87%45986353.19%1421472159898122341114
13Gulls21000001431110000002021000000123-130.75046100124538330262314185609819845392150.00%50100.00%0558109550.96%606124048.87%45986353.19%1421472159898122341114
14Heat2000020013-21000010012-11000010001-120.5001230024538330172314185609828161032400.00%5180.00%0558109550.96%606124048.87%45986353.19%1421472159898122341114
15Islanders30100002913-42010000158-31000000145-120.3339142310245383305423141856098933330509222.22%10280.00%2558109550.96%606124048.87%45986353.19%1421472159898122341114
16Marlies2010100012-1100010001011010000002-220.500112112453833015231418560981563136200.00%30100.00%0558109550.96%606124048.87%45986353.19%1421472159898122341114
17Monsters503010011020-1020200000310-730101001710-330.300101525002453833073231418560981203680869222.22%15753.33%0558109550.96%606124048.87%45986353.19%1421472159898122341114
18Moose211000001101010000001-11100000010120.50011201245383303223141856098248831300.00%4175.00%1558109550.96%606124048.87%45986353.19%1421472159898122341114
19Penguins211000008801010000037-41100000051420.5008111900245383304823141856098361544356350.00%7271.43%0558109550.96%606124048.87%45986353.19%1421472159898122341114
20Phantoms21000010624100000102111100000041341.00068140024538330272314185609823208337114.29%4175.00%0558109550.96%606124048.87%45986353.19%1421472159898122341114
21Reign220000001376110000006241100000075241.00013223500245383304623141856098411351238562.50%80100.00%0558109550.96%606124048.87%45986353.19%1421472159898122341114
22Roadrunners30300000415-111010000026-42020000029-700.0004610002453833067231418560989729714610220.00%8362.50%0558109550.96%606124048.87%45986353.19%1421472159898122341114
23Rocket51101002911-23010000227-52100100074360.6009162500245383308223141856098793648655120.00%14285.71%0558109550.96%606124048.87%45986353.19%1421472159898122341114
24Senators631020001911842101000149521001000523100.83319294800245383301082314185609815158659614750.00%20670.00%2558109550.96%606124048.87%45986353.19%1421472159898122341114
25Silver Knights2010100067-1100010004311010000024-220.50069150024538330332314185609825816306233.33%3233.33%1558109550.96%606124048.87%45986353.19%1421472159898122341114
26Stars20100010440100000103211010000012-120.5004610002453833026231418560985115102322100.00%50100.00%0558109550.96%606124048.87%45986353.19%1421472159898122341114
27Thunderbirds20200000310-71010000014-31010000026-400.00035800245383302823141856098771418314250.00%4325.00%0558109550.96%606124048.87%45986353.19%1421472159898122341114
28Wild20200000210-81010000012-11010000018-700.000235002453833040231418560987725633400.00%3233.33%0558109550.96%606124048.87%45986353.19%1421472159898122341114
29Wolf Pack30002100651100010001012000110055050.833681401245383304723141856098632218457114.29%4250.00%0558109550.96%606124048.87%45986353.19%1421472159898122341114
30Wolves512010011112-1211000004403010100178-150.500111728012453833062231418560988821448310330.00%12375.00%0558109550.96%606124048.87%45986353.19%1421472159898122341114
Total8617330137313176232-56438170633686111-25439160740790121-31860.5001762704464624538330124723141856098168954685113491674728.14%1986069.70%6558109550.96%606124048.87%45986353.19%1421472159898122341114
_Since Last GM Reset8617330137313176232-56438170633686111-25439160740790121-31860.5001762704464624538330124723141856098168954685113491674728.14%1986069.70%6558109550.96%606124048.87%45986353.19%1421472159898122341114
_Vs Conference5110170113010110134-242669051055462-82548062055672-16550.539110171281242453833072623141856098979307481818942324.47%1183867.80%3558109550.96%606124048.87%45986353.19%1421472159898122341114
_Vs Division15812050071748-3175701004920-1183504003828-20331.10017254201245383302382314185609837410115022529827.59%301066.67%1558109550.96%606124048.87%45986353.19%1421472159898122341114

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8686OTL117627044612471689546851134946
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
861733137313176232
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
43817633686111
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
43916740790121
Derniers 10 matchs
WLOTWOTL SOWSOL
530101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1674728.14%1986069.70%6
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
2314185609824538330
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
558109550.96%606124048.87%45986353.19%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1421472159898122341114


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
19Senators3IceHogs2LSommaire du match
225IceHogs2Bruins1WXSommaire du match
437Barracuda2IceHogs1LXXSommaire du match
557IceHogs3Wolves2WXSommaire du match
667Rocket3IceHogs2LXXSommaire du match
779IceHogs2Comets4LSommaire du match
997IceHogs0Monsters1LXXSommaire du match
10107IceHogs1Barracuda3LSommaire du match
11123Barracuda0IceHogs2WSommaire du match
12142IceHogs0Roadrunners6LSommaire du match
13151Senators2IceHogs5WSommaire du match
15175Islanders4IceHogs2LSommaire du match
16186IceHogs0Wolf Pack1LXSommaire du match
17207Bruins2IceHogs1LXXSommaire du match
18221Rocket1IceHogs0LXXSommaire du match
19231IceHogs6Monsters5WXSommaire du match
20249IceHogs3Wolves4LXXSommaire du match
23267Islanders4IceHogs3LXXSommaire du match
24280IceHogs1Griffins3LSommaire du match
25296Canucks5IceHogs3LSommaire du match
27313IceHogs1Wolves2LSommaire du match
28325Griffins2IceHogs3WSommaire du match
29343IceHogs2Thunderbirds6LSommaire du match
30359Silver Knights3IceHogs4WXSommaire du match
31372IceHogs3Checkers1WSommaire du match
32386IceHogs1Wild8LSommaire du match
33397IceHogs4Phantoms1WSommaire du match
34405Admirals1IceHogs2WXXSommaire du match
35427Checkers3IceHogs2LXSommaire du match
37451Wild2IceHogs1LSommaire du match
38462IceHogs1Americans3LSommaire du match
39482IceHogs2Silver Knights4LSommaire du match
40489IceHogs2Bruins3LXXSommaire du match
41499Wolves0IceHogs2WSommaire du match
42521Rocket3IceHogs0LSommaire du match
44549Bears4IceHogs0LSommaire du match
45562IceHogs0Marlies2LSommaire du match
46577Marlies0IceHogs1WXSommaire du match
47596IceHogs4Crunch2WSommaire du match
48609Stars2IceHogs3WXXSommaire du match
49624IceHogs0Admirals1LXXSommaire du match
50637IceHogs0Barracuda3LSommaire du match
51647IceHogs3Canucks4LXSommaire du match
52661Gulls0IceHogs2WSommaire du match
53677Americans2IceHogs1LSommaire du match
54699Phantoms1IceHogs2WXXSommaire du match
55712IceHogs2Roadrunners3LSommaire du match
57730IceHogs4Islanders5LXXSommaire du match
58738IceHogs0Heat1LXSommaire du match
59749Condors1IceHogs2WXSommaire du match
60771Thunderbirds4IceHogs1LSommaire du match
62793Eagles4IceHogs0LSommaire du match
64812IceHogs1Monsters4LSommaire du match
65822Heat2IceHogs1LXSommaire du match
67841IceHogs5Wolf Pack4WXSommaire du match
68853Penguins7IceHogs3LSommaire du match
69867IceHogs5Comets2WSommaire du match
70886IceHogs5Penguins1WSommaire du match
71897Senators1IceHogs3WSommaire du match
73914Reign2IceHogs6WSommaire du match
74936Roadrunners6IceHogs2LSommaire du match
76950IceHogs1Stars2LSommaire du match
78969IceHogs1Moose0WSommaire du match
79977Comets1IceHogs0LXXSommaire du match
811002Senators3IceHogs4WXSommaire du match
821017IceHogs0Condors4LSommaire du match
831034Wolves4IceHogs2LSommaire du match
841043IceHogs2Gulls3LXXSommaire du match
861062IceHogs1Eagles2LXSommaire du match
871074Moose1IceHogs0LSommaire du match
881093Comets3IceHogs2LSommaire du match
901108IceHogs7Reign5WSommaire du match
911125IceHogs3Rocket1WSommaire du match
921136Wolf Pack0IceHogs1WXSommaire du match
931154Barracuda5IceHogs3LSommaire du match
951167IceHogs3Senators1WSommaire du match
961187IceHogs4Rocket3WXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971196IceHogs2Senators1WXSommaire du match
981201Monsters7IceHogs3LSommaire du match
991221IceHogs0Bears6LSommaire du match
1001229IceHogs1Comets2LXXSommaire du match
1011239Monsters3IceHogs0LSommaire du match
1021250IceHogs2Bears1WXSommaire du match
1041269Crunch1IceHogs2WXSommaire du match
1071300Barracuda5IceHogs6WSommaire du match
1101324Crunch2IceHogs1LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance59,46032,057
Assistance PCT69.14%74.55%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2128 - 70.94% 88,775$3,817,315$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,307,965$ 4,149,367$ 4,149,367$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
37,048$ 3,294,534$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 45,976$ 0$




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