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IceHogs
GP: 24 | W: 7 | L: 9 | OTL: 8 | P: 22
GF: 49 | GA: 69 | PP%: 31.91% | PK%: 71.15%
DG: Pradeep Kumar | Morale : 38 | Moyenne d’équipe : 58
Prochains matchs #372 vs Checkers

Centre de jeu
IceHogs
7-9-8, 22pts
2
6 Thunderbirds
16-5-2, 34pts
Team Stats
W1SéquenceL1
4-3-5Fiche domicile8-3-1
3-6-3Fiche domicile8-2-1
3-4-3Derniers 10 matchs9-1-0
2.04Buts par match 4.52
2.88Buts contre par match 3.00
31.91%Pourcentage en avantage numérique36.92%
71.15%Pourcentage en désavantage numérique78.08%
Silver Knights
12-8-3, 27pts
3
4 IceHogs
7-9-8, 22pts
Team Stats
OTL1SéquenceW1
9-3-0Fiche domicile4-3-5
3-5-3Fiche domicile3-6-3
4-4-2Derniers 10 matchs3-4-3
3.04Buts par match 2.04
3.22Buts contre par match 2.88
30.77%Pourcentage en avantage numérique31.91%
73.17%Pourcentage en désavantage numérique71.15%
IceHogs
7-9-8, 22pts
Jour 31
Checkers
9-9-5, 23pts
Statistiques d’équipe
W1SéquenceL2
4-3-5Fiche domicile6-4-2
3-6-3Fiche visiteur3-5-3
3-4-310 derniers matchs3-5-2
2.04Buts par match 2.48
2.88Buts contre par match 2.48
31.91%Pourcentage en avantage numérique29.41%
71.15%Pourcentage en désavantage numérique69.57%
IceHogs
7-9-8, 22pts
Jour 32
Wild
21-2-0, 42pts
Statistiques d’équipe
W1SéquenceW4
4-3-5Fiche domicile9-2-0
3-6-3Fiche visiteur12-0-0
3-4-310 derniers matchs9-1-0
2.04Buts par match 4.35
2.88Buts contre par match 4.35
31.91%Pourcentage en avantage numérique17.24%
71.15%Pourcentage en désavantage numérique79.07%
IceHogs
7-9-8, 22pts
Jour 33
Phantoms
10-13-0, 20pts
Statistiques d’équipe
W1SéquenceL2
4-3-5Fiche domicile5-7-0
3-6-3Fiche visiteur5-6-0
3-4-310 derniers matchs4-6-0
2.04Buts par match 2.96
2.88Buts contre par match 2.96
31.91%Pourcentage en avantage numérique25.00%
71.15%Pourcentage en désavantage numérique65.22%
Meneurs d'équipe
Buts
Jaret Anderson-Dolan
14
Passes
Marc Gatcomb
17
Points
Jaret Anderson-Dolan
26
Sebastian Aho2Plus/Moins
Sebastian Aho2
3
Victoires
Remi Poirier
7
Pourcentage d’arrêts
Remi Poirier
0.885

Statistiques d’équipe
Buts pour
49
2.04 GFG
Tirs pour
339
14.13 Avg
Pourcentage en avantage numérique
31.9%
15 GF
Début de zone offensive
34.8%
Buts contre
69
2.88 GAA
Tirs contre
518
21.58 Avg
Pourcentage en désavantage numérique
71.2%%
15 GA
Début de la zone défensive
38.9%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,166
Billets de saison1,500


Informations de la formation

Équipe Pro24
Équipe Mineure29
Limite contact 53 / 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)X96.009961907974559160375673592548486945630262973,000$
2Max JonesXX96.0092478076805481572556586125666661466202721,392,000$
3Jaret Anderson-DolanXX97.0075728377727175587054576550606160566202611,172,000$
4Anton Wahlberg (R)X100.0082759867765453607558596654454561506002031,286,000$
5Adam SykoraX100.0073639767648289565056526148454559475902131,279,000$
6Jesse YlonenX100.0077728866726364615060576453454561345902621,864,000$
7Jackson Kunz (R)X100.0088839980833630597571446942454559345902331,385,000$
8Ondrej Becher (R)X100.0078719666725252546947566354454559435602131,278,000$
9Mark SendenX100.0076718865715353556952536250454557375602812,999,000$
10Sam BittenXXX100.0075816162815052475943456043444451335202512,999,000$
11Kyle CapobiancoX100.0073746967747681582557416339545556496202821,305,000$
12Adam Ginning (R)X100.007574756774778549254141603846465336600261925,000$
13Guillaume Richard (R)X100.0073708181715049562547516148454557365802231,297,000$
14Luke Prokop (R)X100.0087849362855254452535406538454552375702331,352,000$
15Daniil Misyul (R)X100.0071688067686165462536405837454550445602531,348,000$
16Sebastian Aho2X100.0072649064645050532552395937454652455502911,995,000$
17Lucas JohansenX100.0072697863695658492544395937444552325502821,001,000$
18Travis MitchellX100.0074786463785254472537416039444450325502612,999,000$
19Hunter SkinnerX100.006974636675545650253845584345455144550242999,000$
Rayé
1Gavin Hayes (R)X100.0074669465676265505050466044454554335402131,279,000$
2Hank Kempf (R)X100.0082759980753531532552396537444455265702300$
3Gavin WhiteX100.0075689364696064472539406038454552255602331,271,000$
MOYENNE D’ÉQUIPE99.50787185697357615341494862424747563958
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
1Remi Poirier100.00554050805860606264603045455569580241836,667$
2Magnus Chrona100.00504050885350535653533044445139540251867,500$
Rayé
MOYENNE D’ÉQUIPE100.0053405084565557595957304545535456
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/RW24141226-23820314764103121.88%1155623.19651113340001364045.16%62218000.9314211310
2Marc GatcombIceHogs (CHI)C2451722-1340295244121811.36%750421.040883340000100043.54%457144000.8705000030
3Max JonesIceHogs (CHI)LW/RW2481220-6180473251122615.69%1354422.672356340114241133.33%21109000.7411000203
4Anton WahlbergIceHogs (CHI)C246511-35537433872315.79%1250421.002026281013270255.08%187128000.4426100020
5Kyle CapobiancoIceHogs (CHI)D24178-6255244119595.26%2458924.56011026011225010%1916000.2700100100
6Jake BeanBlackhawksD17268012101328251188.00%2844326.12044326000233000%0910100.3600011110
7Jesse YlonenIceHogs (CHI)RW24358-840324721112014.29%745919.151233170001250043.33%90145000.3526000002
8Adam SykoraIceHogs (CHI)LW2452700031352931017.24%249620.671013300001111057.14%14611000.2801000001
9Guillaume RichardIceHogs (CHI)D24134-6135131954220.00%539116.301011700014010%065000.2000001000
10Mark SendenIceHogs (CHI)C18213100152660533.33%120111.1700001000011062.75%5112000.3013000010
11Sebastian Aho2IceHogs (CHI)D2402232012205220%430412.6800006000018000%145000.1300000000
12Gavin HayesIceHogs (CHI)LW17022-4208107110%21689.88000010000000100.00%112000.2400000000
13Adam GinningIceHogs (CHI)D24011-65735274510870%1454122.57000139000122000%0512000.0400142000
14Ondrej BecherIceHogs (CHI)C24011-62026230350%438215.95011012000090057.14%3558000.0511000000
15Gavin WhiteIceHogs (CHI)D18101-35551221050.00%527915.5210111700002000%106000.0700100001
16Daniil MisyulIceHogs (CHI)D24101-480152950320.00%1442917.89101215000142000%068000.0500000000
17Adam ErneBlackhawksC/LW/RW2000-1175440000%02713.7500000000000066.67%30000000001000
18Lucas JohansenIceHogs (CHI)D6000100521010%0477.950000000000000%00000000000000
19Ryan McGregorBlackhawksC2000000210100%0157.5700000000000033.33%31000000000000
20Sam BittenIceHogs (CHI)C/LW/RW5000-155230100%05811.6400001000000037.50%82000000100000
21Travis MitchellIceHogs (CHI)D6000100201000%0223.760000000000000%00100000000000
22Luke ProkopIceHogs (CHI)D24000-612108102210%41626.790000000000000%10400000020000
23Tyler InamotoBlackhawksD1000000000000%022.630000000000000%00000000000000
24Hunter SkinnerIceHogs (CHI)D23000-100110000%0210.930000000000000%00000000000000
25Jackson KunzIceHogs (CHI)C23000-2003124040%1843.6700000000000055.56%93000000000000
Statistiques d’équipe totales ou en moyenne4504976125-722291053925423399417614.45%158723916.0915243942335123172977547.41%945129124100.35827786787
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)247980.8852.4514230358503301020.40727240102
2Magnus ChronaIceHogs (CHI)20000.8462.22540021380000024000
Statistiques d’équipe totales ou en moyenne267980.8842.441477036051630902272424102


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 GinningIceHogs (CHI)D262000-01-13SWEYes196 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$677,232$0$0$No---------------------------Lien
Adam SykoraIceHogs (CHI)LW212004-09-07SVKNo179 Lbs5 ft10NoNoTrade2025-10-15NoNo32025-10-22FalseFalsePro & Farm1,279,000$936,411$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$941,536$0$0$No1,286,000$1,286,000$-------1,286,000$1,286,000$-------NoNo-------Lien
Daniil MisyulIceHogs (CHI)D252000-10-20BLRYes176 Lbs6 ft3NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,348,000$986,929$0$0$No1,348,000$1,348,000$-------1,348,000$1,348,000$-------NoNo-------Lien
Gavin HayesIceHogs (CHI)LW212004-05-14USAYes176 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,279,000$936,411$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$930,554$0$0$No1,271,000$1,271,000$-------1,271,000$1,271,000$-------NoNo-------Lien
Guillaume RichardIceHogs (CHI)D222003-02-10CANYes187 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,297,000$949,589$0$0$No1,297,000$1,297,000$-------1,297,000$1,297,000$-------NoNo-------Lien
Hank KempfIceHogs (CHI)D232002-04-15USAYes200 Lbs6 ft2NoNoProspectNoNo02025-10-16FalseFalsePro & Farm0$0$No---------------------------Lien
Hunter SkinnerIceHogs (CHI)D242001-04-29USANo198 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm999,000$731,411$0$0$No999,000$--------999,000$--------No--------Lien
Jackson KunzIceHogs (CHI)C232002-08-13USAYes227 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,385,000$1,014,018$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$858,071$0$0$No---------------------------Lien
Jesse YlonenIceHogs (CHI)RW261999-10-03USANo193 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,864,000$1,364,714$0$0$No1,864,000$--------1,864,000$--------No--------Lien
Kyle CapobiancoIceHogs (CHI)D281997-08-13CANNo198 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,305,000$955,446$0$0$No1,305,000$--------1,305,000$--------No--------Lien / Lien NHL
Lucas JohansenIceHogs (CHI)D281997-11-16CANNo181 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,001,000$732,875$0$0$No1,001,000$--------1,001,000$--------No--------Lien
Luke ProkopIceHogs (CHI)D232002-05-06CANYes223 Lbs6 ft5NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,352,000$989,857$0$0$No1,352,000$1,352,000$-------1,352,000$1,352,000$-------NoNo-------Lien
Magnus ChronaIceHogs (CHI)G252000-08-08SWENo210 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm867,500$635,134$0$0$No---------------------------Lien
Marc GatcombIceHogs (CHI)C261999-07-22USAYes195 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm973,000$712,375$0$0$No973,000$--------973,000$--------No--------Lien
Mark SendenIceHogs (CHI)C281998-01-22USANo201 Lbs5 ft10NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$2,195,696$0$0$No---------------------------Lien
Max JonesIceHogs (CHI)LW/RW271998-02-17USANo216 Lbs6 ft3NoNoTrade2025-01-22NoNo2FalseFalsePro & Farm1,392,000$1,019,143$0$0$No1,392,000$--------1,392,000$--------No--------Lien
Ondrej BecherIceHogs (CHI)C212004-02-22CZEYes190 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,278,000$935,679$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$612,560$0$0$No---------------------------Lien
Sam BittenIceHogs (CHI)C/LW/RW252000-03-21ONTNo220 Lbs6 ft2NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$2,195,696$0$0$No---------------------------Lien
Sebastian Aho2IceHogs (CHI)D291996-02-17SWENo177 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,995,000$1,460,625$0$0$No---------------------------Lien / Lien NHL
Travis MitchellIceHogs (CHI)D261999-11-25USANo206 Lbs6 ft4NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$2,195,696$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2424.58198 Lbs6 ft21.961,420,924$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max JonesMarc GatcombJaret Anderson-Dolan40122
2Jesse YlonenAnton WahlbergAdam Sykora30122
3Anton WahlbergMarc GatcombOndrej Becher20122
4Jaret Anderson-DolanMarc GatcombMax Jones10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke ProkopAdam Ginning40122
2Kyle CapobiancoGuillaume Richard30122
3Kyle CapobiancoAdam Ginning20122
4Daniil MisyulKyle Capobianco10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max JonesMarc GatcombJaret Anderson-Dolan60122
2Ondrej BecherAnton WahlbergAdam Sykora40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniil MisyulAdam Ginning60122
2Kyle CapobiancoGuillaume Richard40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Marc GatcombJaret Anderson-Dolan60122
2Max JonesAnton Wahlberg40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Guillaume RichardDaniil Misyul60122
2Kyle CapobiancoAdam Ginning40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jaret Anderson-Dolan60122Kyle CapobiancoDaniil Misyul60122
2Max Jones40122Luke ProkopAdam Ginning40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Marc GatcombAnton Wahlberg60122
2Max JonesOndrej Becher40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniil MisyulAdam Ginning60122
2Kyle CapobiancoLuke Prokop40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max JonesMarc GatcombJaret Anderson-DolanAdam GinningKyle Capobianco
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max JonesMarc GatcombJaret Anderson-DolanAdam GinningKyle Capobianco
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jaret Anderson-Dolan, Marc Gatcomb, Max JonesMarc Gatcomb, Max JonesMax Jones
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kyle Capobianco, Adam Ginning, Daniil MisyulKyle CapobiancoAdam Ginning, Kyle Capobianco
Tirs de pénalité
Adam Sykora, Jaret Anderson-Dolan, Anton Wahlberg, Marc Gatcomb, Max Jones
Gardien
#1 : Remi Poirier, #2 : Magnus Chrona


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
1Barracuda3110000145-1210000013211010000013-230.5004610015103012305896170424881549400.00%5180.00%016331851.26%16835547.32%11724048.75%393128462276623312
2Bruins200010013301000000112-11000100021130.75036900510301221589617042213024000%000%016331851.26%16835547.32%11724048.75%393128462276623312
3Canucks1010000035-21010000035-20000000000000.000369005103012105896170422063620000%330.00%016331851.26%16835547.32%11724048.75%393128462276623312
4Comets1010000024-2000000000001010000024-200.00023510510301213589617042314420100.00%20100.00%016331851.26%16835547.32%11724048.75%393128462276623312
5Griffins2110000045-1110000003211010000013-220.5004590051030122458961704237916305120.00%3233.33%016331851.26%16835547.32%11724048.75%393128462276623312
6Islanders2010000158-32010000158-30000000000010.250581310510301239589617042631920347114.29%50100.00%116331851.26%16835547.32%11724048.75%393128462276623312
7Monsters20001001660000000000002000100166030.75069150051030123558961704233912362150.00%6266.67%016331851.26%16835547.32%11724048.75%393128462276623312
8Roadrunners1010000006-6000000000001010000006-600.0000000051030121858961704247152814000%4250.00%016331851.26%16835547.32%11724048.75%393128462276623312
9Rocket2000000224-22000000224-20000000000020.500235005103012175896170422715172311100.00%6183.33%016331851.26%16835547.32%11724048.75%393128462276623312
10Senators21100000752211000007520000000000020.5007111800510301252589617042663729399555.56%7271.43%016331851.26%16835547.32%11724048.75%393128462276623312
11Silver Knights10001000431100010004310000000000021.0004610005103012185896170421117175240.00%10100.00%016331851.26%16835547.32%11724048.75%393128462276623312
12Thunderbirds1010000026-4000000000001010000026-400.0002350051030121558961704245914164250.00%2150.00%016331851.26%16835547.32%11724048.75%393128462276623312
13Wolf Pack1000010001-1000000000001000010001-110.5000000051030128589617042106019200.00%000%016331851.26%16835547.32%11724048.75%393128462276623312
14Wolves3010100178-1000000000003010100178-130.5007101700510301239589617042591731517228.57%8187.50%016331851.26%16835547.32%11724048.75%393128462276623312
Total2439041074969-201233010052831-31206031022138-17220.4584976125215103012339589617042518158229392471531.91%521571.15%116331851.26%16835547.32%11724048.75%393128462276623312
_Since Last GM Reset2439041074969-201233010052831-31206031022138-17220.4584976125215103012339589617042518158229392471531.91%521571.15%116331851.26%16835547.32%11724048.75%393128462276623312
_Vs Conference1825041063844-6922010042021-1903031021823-5190.528386098115103012243589617042326106151298311135.48%381073.68%016331851.26%16835547.32%11724048.75%393128462276623312
_Vs Division22402005212-100210000300020302002212-10133.25023500510301233589617042922442304250.00%6350.00%016331851.26%16835547.32%11724048.75%393128462276623312

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2422W1497612533951815822939221
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
243941074969
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
123310052831
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
120631022138
Derniers 10 matchs
WLOTWOTL SOWSOL
340003
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
471531.91%521571.15%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
5896170425103012
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
16331851.26%16835547.32%11724048.75%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
393128462276623312


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
31372IceHogs-Checkers-
32386IceHogs-Wild-
33397IceHogs-Phantoms-
34405Admirals-IceHogs-
35427Checkers-IceHogs-
37451Wild-IceHogs-
38462IceHogs-Americans-
39482IceHogs-Silver Knights-
40489IceHogs-Bruins-
41499Wolves-IceHogs-
42521Rocket-IceHogs-
44549Bears-IceHogs-
45562IceHogs-Marlies-
46577Marlies-IceHogs-
47596IceHogs-Crunch-
48609Stars-IceHogs-
49624IceHogs-Admirals-
50637IceHogs-Barracuda-
51647IceHogs-Canucks-
52661Gulls-IceHogs-
53677Americans-IceHogs-
54699Phantoms-IceHogs-
55712IceHogs-Roadrunners-
57730IceHogs-Islanders-
58738IceHogs-Heat-
59749Condors-IceHogs-
60771Thunderbirds-IceHogs-
62793Eagles-IceHogs-
64812IceHogs-Monsters-
65822Heat-IceHogs-
67841IceHogs-Wolf Pack-
68853Penguins-IceHogs-
69867IceHogs-Comets-
70886IceHogs-Penguins-
71897Senators-IceHogs-
73914Reign-IceHogs-
74936Roadrunners-IceHogs-
76950IceHogs-Stars-
78969IceHogs-Moose-
79977Comets-IceHogs-
811002Senators-IceHogs-
821017IceHogs-Condors-
831034Wolves-IceHogs-
841043IceHogs-Gulls-
861062IceHogs-Eagles-
871074Moose-IceHogs-
881093Comets-IceHogs-
901108IceHogs-Reign-
911125IceHogs-Rocket-
921136Wolf Pack-IceHogs-
931154Barracuda-IceHogs-
951167IceHogs-Senators-
961187IceHogs-Rocket-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971196IceHogs-Senators-
981201Monsters-IceHogs-
991221IceHogs-Bears-
1001229IceHogs-Comets-
1011239Monsters-IceHogs-
1021250IceHogs-Bears-
1041269Crunch-IceHogs-
1071300Barracuda-IceHogs-
1101324Crunch-IceHogs-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance16,9179,078
Assistance PCT70.49%75.65%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 2166 - 72.21% 90,426$1,085,115$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,088,941$ 3,410,217$ 3,410,217$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
30,448$ 821,072$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,803,214$ 82 39,377$ 3,228,914$




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