Connexion

IceHogs
GP: 18 | W: 12 | L: 5 | OTL: 1 | P: 25
GF: 91 | GA: 40 | PP%: 27.27% | PK%: 85.48%
DG: Mark | Morale : 50 | Moyenne d’équipe : 59
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Centre de jeu
Barracudas
2-16-0, 4pts
1
FINAL
9 IceHogs
12-5-1, 25pts
Team Stats
L6StreakW5
2-7-0Home Record6-3-0
0-9-0Away Record6-2-1
1-9-0Last 10 Games6-3-1
2.44Buts par match 5.06
6.56Buts contre par match 2.22
24.39%Pourcentage en avantage numérique27.27%
74.29%Pourcentage en désavantage numérique85.48%
Heat
15-3-0, 30pts
2
FINAL
3 IceHogs
12-5-1, 25pts
Team Stats
W1StreakW5
8-1-0Home Record6-3-0
7-2-0Away Record6-2-1
8-2-0Last 10 Games6-3-1
5.67Buts par match 5.06
2.56Buts contre par match 2.22
31.91%Pourcentage en avantage numérique27.27%
87.69%Pourcentage en désavantage numérique85.48%
Meneurs d'équipe
Buts
Marc McLaughlin
21
Kiefer SherwoodPasses
Kiefer Sherwood
23
Kiefer SherwoodPoints
Kiefer Sherwood
32
Skyler McKenziePlus/Moins
Skyler McKenzie
25
Martin JonesVictoires
Martin Jones
10
Martin JonesPourcentage d’arrêts
Martin Jones
0.912

Statistiques d’équipe
Buts pour
91
5.06 GFG
Tirs pour
723
40.17 Avg
Pourcentage en avantage numérique
27.3%
15 GF
Début de zone offensive
43.0%
Buts contre
40
2.22 GAA
Tirs contre
424
23.56 Avg
Pourcentage en désavantage numérique
85.5%
9 GA
Début de la zone défensive
34.8%
Informations de l'équipe

Directeur généralMark
EntraîneurD.J. Smith
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro12
Équipe Mineure18
Limite contact 30 / 50
Espoirs49


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
1Kiefer SherwoodXX100.007643997267527363255959662555566450610272800,000$
2Glenn GawdinX100.007071676471707264806460625744446350610251925,000$
3Marc McLaughlin (R)X100.007944797174574253405072582545456650580231925,000$
4Carsen Twarynski (R)X100.007973936373576050504846634445455550550251775,833$
5Skyler McKenzieX100.006554906654626554504657575444445850550241750,000$
6Dylan Coghlan (R)X100.0076449073726570672552487225555561506502421,100,000$
7Wyatt Kalynuk (R)X100.0069687172686669552549466044464656505902521,775,000$
8Mitch Vande Sompel (R)X100.005555555555555555555555555555555550540251935,833$
9Ville PokkaX100.005555555555555555555555555555555550540281750,000$
Rayé
MOYENNE D’ÉQUIPE100.00695678666560625745535561434949595058
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
1Martin Jones100.00627271806658836565629268686750670321900,000$
2Colton Point (R)100.00454658954545455045454544444650510241925,000$
Rayé
1Kaden Fulcher (R)100.004442538045444549454545444445504902400$
MOYENNE D’ÉQUIPE100.0050536185524958555251615252535056
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
D.J. Smith88808281656082CAN4421,500,000$


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
1Kiefer SherwoodIceHogs (CHI)LW/RW18923322280364010125688.91%636820.480558370001421053.57%2800011.7401000121
2Glenn GawdinIceHogs (CHI)C182193019175433998236721.43%635519.7421312311014413075.12%41400031.6901100322
3Skyler McKenzieIceHogs (CHI)LW181119302520133180295213.75%731617.562244270000282073.68%1900001.9000000025
4Marc McLaughlinIceHogs (CHI)C142193022140483394226222.34%926018.5921310250001263056.27%27900042.3101000620
5Simon BenoitIceHogs (CHI)D185202518400731541163412.20%1436220.1552724410112341025.00%400001.3800000022
6Ville PokkaIceHogs (CHI)D1841418128046933101412.12%2132017.79123173600004701100.00%100001.1200000001
7Mitch Vande SompelIceHogs (CHI)D180151515802512225150.00%1330116.75033929000139000.00%000001.0000000000
8Wyatt KalynukIceHogs (CHI)D184913161401442761514.81%1036620.352681742000140110.00%000000.7100000100
9Carsen TwarynskiIceHogs (CHI)LW148210-180552678207910.26%1627719.820000110000200062.50%3200000.7200000020
10Dylan SikuraIceHogs (CHI)LW/RW15054202261483.33%01515.401011300000000.00%000016.4900000100
Statistiques d’équipe totales ou en moyenne15588120208152121535521158015741015.17%102294318.991522371022861121032211266.80%77700091.4103100121211
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
1Martin JonesIceHogs (CHI)1410310.9121.9984501283180100.6673140100
2Colton PointIceHogs (CHI)42200.8962.7524001111060100.0000418000
Statistiques d’équipe totales ou en moyenne1812510.9082.16108502394240200.66731818100


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial 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 10Link
Carsen TwarynskiIceHogs (CHI)LW251997-11-24Yes198 Lbs6 ft2NoNoNo1Pro & Farm775,833$775,833$0$0$NoLien / Lien NHL
Colton PointIceHogs (CHI)G241998-03-04Yes230 Lbs6 ft5NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Dylan CoghlanIceHogs (CHI)D241998-02-19Yes190 Lbs6 ft2NoNoNo2Pro & Farm1,100,000$1,100,000$0$0$No1,100,000$Lien / Lien NHL
Glenn GawdinIceHogs (CHI)C251997-03-25No191 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Kaden FulcherIceHogs (CHI)G241998-09-23Yes201 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien
Kiefer SherwoodIceHogs (CHI)LW/RW271995-03-31No180 Lbs6 ft0NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Marc McLaughlinIceHogs (CHI)C231999-07-26Yes205 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Martin JonesIceHogs (CHI)G321990-01-10No190 Lbs6 ft4NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Mitch Vande SompelIceHogs (CHI)D251997-02-11 10:37:52 AMYes198 Lbs5 ft11NoNoNo1Pro & Farm935,833$935,833$0$0$No
Skyler McKenzieIceHogs (CHI)LW241998-01-20No154 Lbs5 ft8NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Ville PokkaIceHogs (CHI)D281994-06-03 10:45:39 AMNo214 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$No
Wyatt KalynukIceHogs (CHI)D251997-04-14Yes180 Lbs6 ft1NoNoNo2Pro & Farm1,775,000$1,775,000$0$0$No1,775,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1225.50194 Lbs6 ft11.17880,139$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kiefer SherwoodGlenn Gawdin40122
2Skyler McKenzieMarc McLaughlin30122
3Carsen Twarynski20122
4Kiefer SherwoodGlenn GawdinMarc McLaughlin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon BenoitWyatt Kalynuk40122
2Ville PokkaMitch Vande Sompel30122
320122
4Simon BenoitWyatt Kalynuk10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kiefer SherwoodGlenn Gawdin60122
2Skyler McKenzieMarc McLaughlin40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon BenoitWyatt Kalynuk60122
2Ville PokkaMitch Vande Sompel40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Glenn GawdinKiefer Sherwood60122
2Marc McLaughlinSkyler McKenzie40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon BenoitWyatt Kalynuk60122
2Ville PokkaMitch Vande Sompel40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Glenn Gawdin60122Simon BenoitWyatt Kalynuk60122
2Kiefer Sherwood40122Ville PokkaMitch Vande Sompel40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Glenn GawdinKiefer Sherwood60122
2Marc McLaughlinSkyler McKenzie40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon BenoitWyatt Kalynuk60122
2Ville PokkaMitch Vande Sompel40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kiefer SherwoodGlenn GawdinSimon BenoitWyatt Kalynuk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kiefer SherwoodGlenn GawdinSimon BenoitWyatt Kalynuk
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Carsen Twarynski, Skyler McKenzie, Marc McLaughlinCarsen Twarynski, Skyler McKenzieMarc McLaughlin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ville Pokka, Mitch Vande Sompel, Simon BenoitVille PokkaMitch Vande Sompel, Simon Benoit
Tirs de pénalité
Glenn Gawdin, Kiefer Sherwood, Marc McLaughlin, Skyler McKenzie, Carsen Twarynski
Gardien
#1 : Martin Jones, #2 : Colton Point
Lignes d’attaque personnalisées en prolongation
Glenn Gawdin, Kiefer Sherwood, Marc McLaughlin, Skyler McKenzie, Carsen Twarynski, , , , , ,
Lignes de défense personnalisées en prolongation
Simon Benoit, Wyatt Kalynuk, Ville Pokka, Mitch Vande Sompel,


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
1 Americans2020000029-71010000015-41010000014-300.0002240040193115323023025610682410459111.11%5260.00%028552654.18%23342654.69%16127159.41%55543734395185101
2Barracudas22000000192171100000091811000000101941.00019284700401931110823023025610461044033100.00%20100.00%028552654.18%23342654.69%16127159.41%55543734395185101
3Condors2020000028-61010000005-51010000023-100.0002350040193113823023025610591237341317.69%15286.67%028552654.18%23342654.69%16127159.41%55543734395185101
4Eagles220000001741311000000111101100000063341.0001729460040193111152302302561026710444125.00%40100.00%128552654.18%23342654.69%16127159.41%55543734395185101
5Gulls210010001147110000007161000100043141.0001117280040193117523023025610411612445360.00%60100.00%028552654.18%23342654.69%16127159.41%55543734395185101
6Heat21000001550110000003211000000123-130.75058130040193116623023025610521510538225.00%5260.00%028552654.18%23342654.69%16127159.41%55543734395185101
7Reign2110000034-11010000024-21100000010120.500347014019311412302302561059263033200.00%14378.57%028552654.18%23342654.69%16127159.41%55543734395185101
8Roadrunners2200000015213110000007161100000081741.0001525400040193111312302302561035108425120.00%40100.00%028552654.18%23342654.69%16127159.41%55543734395185101
9Sound Tigers11000000927110000009270000000000021.000911200040193114123023025610166429000.00%20100.00%028552654.18%23342654.69%16127159.41%55543734395185101
10Wolf Pack11000000808000000000001100000080821.00081422014019311552302302561022310326350.00%50100.00%028552654.18%23342654.69%16127159.41%55543734395185101
Total18115010019140519630000049222795201001421824250.6949114123202401931172323023025610424129135396551527.27%62985.48%128552654.18%23342654.69%16127159.41%55543734395185101
_Since Last GM Reset18115010019140519630000049222795201001421824250.6949114123202401931172323023025610424129135396551527.27%62985.48%128552654.18%23342654.69%16127159.41%55543734395185101
_Vs Conference1695010017438368530000040202084201001341816210.6567411619001401931162723023025610386120121335491224.49%55983.64%128552654.18%23342654.69%16127159.41%55543734395185101
_Vs Division40200000326262010000018216201000001441000.00032548600401931124623023025610611718869222.22%80100.00%128552654.18%23342654.69%16127159.41%55543734395185101

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1825W59114123272342412913539602
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1811510019140
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
96300004922
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
95210014218
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
551527.27%62985.48%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
230230256104019311
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
28552654.18%23342654.69%16127159.41%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
55543734395185101


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
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1 - 2022-11-219IceHogs8Wolf Pack0AWSommaire du match
2 - 2022-11-2218 Americans5IceHogs1BLSommaire du match
3 - 2022-11-2341Sound Tigers2IceHogs9BWSommaire du match
5 - 2022-11-2550IceHogs1 Americans4ALSommaire du match
6 - 2022-11-2670Eagles1IceHogs11BWSommaire du match
7 - 2022-11-2789IceHogs6Eagles3AWSommaire du match
8 - 2022-11-2895IceHogs4Gulls3AWXSommaire du match
9 - 2022-11-29110IceHogs1Reign0AWSommaire du match
10 - 2022-11-30125Gulls1IceHogs7BWSommaire du match
11 - 2022-12-01148Reign4IceHogs2BLSommaire du match
13 - 2022-12-03163IceHogs2Heat3ALXXSommaire du match
14 - 2022-12-04173IceHogs2Condors3ALSommaire du match
15 - 2022-12-05191Condors5IceHogs0BLSommaire du match
16 - 2022-12-06212Roadrunners1IceHogs7BWSommaire du match
17 - 2022-12-07224IceHogs8Roadrunners1AWSommaire du match
19 - 2022-12-09240IceHogs10Barracudas1AWSommaire du match
20 - 2022-12-10256Barracudas1IceHogs9BWSommaire du match
22 - 2022-12-12276Heat2IceHogs3BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets500
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,456,166$ 1,456,166$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




IceHogs Leaders statistiques (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 (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