Connexion

IceHogs
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: NickyG | Morale : 40 | Moyenne d’équipe : 57
Prochain matchs #8 vs Eagles
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IceHogs
0-0-0, 0pts
2022-09-14
Eagles
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
IceHogs
0-0-0, 0pts
2022-09-15
Silver Knights
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
IceHogs
0-0-0, 0pts
2022-09-17
Barracuda
1-0-1, 3pts
Statistiques d’équipe
N/ASéquenceOTL1
0-0-0Fiche domicile0-0-1
0-0-0Fiche visiteur1-0-0
0-0-010 derniers matchs1-0-1
0.00Buts par match 2.50
0.00Buts contre par match 2.00
0.00%Pourcentage en avantage numérique57.14%
0.00%Pourcentage en désavantage numérique50.00%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
0
0.00 GFG
Tirs pour
0
0.00 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
0.0%
Buts contre
0
0.00 GAA
Tirs contre
0
0.00 Avg
Pourcentage en désavantage numérique
0.0%
0 GA
Début de la zone défensive
0.0%
Information d’équipe

Directeur généralNickyG
EntraîneurClaude Julien
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Information formation

Équipe Pro29
Équipe Mineure19
Limite contact 48 / 90
Espoirs27


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique54-74-22 (0.360%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)-
Stanley Cup0


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 moyen
1Alexander Chmelevski0X100.00714778628162546353706063605363040600231925,000$
2Andy Andreoff15X100.008750765784605260596563596262740405903111,000,000$
3Gabriel Fortier0XX100.00934377627660605767636061605366040590222775,000$
4Kyle Clifford13X100.009064845588684456546159606077850405903131,000,000$
5Jake Leschyshyn0X100.00724381608167645969646163615464040590231925,000$
6Max Willman0XX100.007641806180686557516162636152630405902731,000,000$
7Tommy Novak0X100.005140806379645861666959616054640405902511,000,000$
8Ty Dellandrea0X100.009849756082605461516663606252650405902245,000,000$
9Filip Hallander (R)0X100.00504475558360395740636162615262040560222850,000$
10Kurtis Gabriel0XXX100.009973755290604650405956615858710405602931,000,000$
11Nikita Alexandrov (R)0X100.00504175578060455760635962605563040560222900,000$
12Matt Moulson0X100.00504675558460106140686062606170040560381750,000$
13Alex Biega0X100.009444765681604367206360646068790406103411,100,000$
14Cam York0X100.00593984637766577020676369625161040610212925,000$
15Greg Pateryn0X100.008750755189604268206460706058720406103211,000,000$
16Oskari Laaksonen (R)0X100.00503875607860497020665968605262040590232900,000$
17Samuel Bolduc (R)0X100.00504975488960356420605768595161040560212900,000$
18Dawson Barteaux (R)0X100.00504175548160196420605768595161040550222750,000$
Rayé
1Cameron Hillis (R)0XXX100.00503975587660395358615962605161040550222850,000$
2Mason Primeau (R)0X100.00506075489160305260615662585161040530212750,000$
3Nick Henry0XXX100.00504375548060135240615662585463040530231825,000$
4Hayden Verbeek0XXX100.00504175557860105140595762595262040520241950,000$
5Cooper Zech0X100.00503775587560316620625768595363040570231750,000$
6David Farrance (R)0X100.00504875548160286720635768595161040560232850,000$
MOYENNE D’ÉQUIPE100.0066467757826141604263596460556604057
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 SP
1Jakub Skarek100.0060706787646562666562636667040650
2Alex Stalock100.0054646182585857595854578676040610
Rayé
1Colten Ellis (R)100.0047625984505147515148496667040550
2David Tendeck100.0045585584494947494945486867040540
3Tyler Wall (R)100.0040555287454444454541437068040510
MOYENNE D’ÉQUIPE100.004962598553535154545052716904057
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Claude Julien75757575757575CAN638500,000$


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
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


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 restantSalaire moyenSalaire moyen 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
Alex BiegaIceHogs (CHI)D344/4/1988No195 Lbs5 ft10NoNoNo1Pro & Farm1,100,000$1,088,360$1,100,000$1,088,360$0$0$NoLien
Alex StalockIceHogs (CHI)G357/28/1987No170 Lbs5 ft11NoNoNo1Pro & Farm1,500,000$1,484,127$1,500,000$1,484,127$0$0$NoLien
Alexander ChmelevskiIceHogs (CHI)C236/9/1999No188 Lbs6 ft0NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Andy AndreoffIceHogs (CHI)C315/17/1991No200 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLien
Cam YorkIceHogs (CHI)D211/5/2001No175 Lbs5 ft11NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Cameron HillisIceHogs (CHI)C/LW/RW226/24/2000Yes175 Lbs5 ft9NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Colten EllisIceHogs (CHI)G227/1/2000Yes187 Lbs6 ft1NoNoNo3Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$750,000$Lien
Cooper ZechIceHogs (CHI)D2312/18/1998No167 Lbs5 ft10NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
David FarranceIceHogs (CHI)D236/23/1999Yes191 Lbs6 ft0NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
David TendeckIceHogs (CHI)G237/1/1999No172 Lbs6 ft1NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Dawson BarteauxIceHogs (CHI)D221/12/2000Yes185 Lbs6 ft1NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Filip HallanderIceHogs (CHI)LW226/4/2000Yes196 Lbs6 ft1NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Gabriel FortierIceHogs (CHI)C/LW222/6/2000No173 Lbs5 ft10NoNoNo2Pro & Farm775,000$766,799$775,000$766,799$0$0$No775,000$Lien
Greg PaterynIceHogs (CHI)D326/20/1990No221 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLien
Hayden VerbeekIceHogs (CHI)C/LW/RW2410/17/1997No183 Lbs5 ft10NoNoNo1Pro & Farm950,000$939,947$950,000$939,947$0$0$NoLien
Jake LeschyshynIceHogs (CHI)C233/10/1999No192 Lbs5 ft11NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Jakub SkarekIceHogs (CHI)G2211/10/1999No203 Lbs6 ft3NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Kurtis Gabriel (contrat à 1 volet)IceHogs (CHI)C/LW/RW294/20/1993No212 Lbs6 ft6NoNoNo3Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$No1,000,000$1,000,000$Lien
Kyle Clifford (contrat à 1 volet)IceHogs (CHI)LW311/13/1991No214 Lbs6 ft2NoNoNo3Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$No1,000,000$1,000,000$Lien
Mason PrimeauIceHogs (CHI)C217/28/2001Yes218 Lbs6 ft6NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Matt MoulsonIceHogs (CHI)LW3811/1/1983No203 Lbs6 ft1NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Max Willman (contrat à 1 volet)IceHogs (CHI)C/LW272/13/1995No184 Lbs6 ft0NoNoNo3Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$No1,000,000$1,000,000$Lien
Nick HenryIceHogs (CHI)C/LW/RW237/4/1999No190 Lbs5 ft11NoNoNo1Pro & Farm825,000$816,270$825,000$816,270$0$0$NoLien
Nikita AlexandrovIceHogs (CHI)C229/16/2000Yes185 Lbs6 ft0NoNoNo2Pro & Farm900,000$890,476$900,000$890,476$0$0$No900,000$Lien
Oskari LaaksonenIceHogs (CHI)D237/2/1999Yes172 Lbs6 ft2NoNoNo2Pro & Farm900,000$890,476$900,000$890,476$0$0$No900,000$Lien
Samuel BolducIceHogs (CHI)D2112/9/2000Yes215 Lbs6 ft4NoNoNo2Pro & Farm900,000$890,476$900,000$890,476$0$0$No900,000$Lien
Tommy Novak (contrat à 1 volet)IceHogs (CHI)C254/28/1997No179 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLien
Ty Dellandrea (contrat à 1 volet)IceHogs (CHI)C227/21/2000No195 Lbs6 ft0YesNoNo4Pro & Farm5,000,000$4,947,090$5,000,000$4,947,090$3,875,000$3,833,995$No5,000,000$5,000,000$5,000,000$Lien
Tyler WallIceHogs (CHI)G247/1/1998Yes214 Lbs6 ft3NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.17192 Lbs6 ft11.761,052,586$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kurtis GabrielAlexander ChmelevskiTy Dellandrea29122
2Andy AndreoffNikita AlexandrovTommy Novak26122
3Max WillmanAlexander ChmelevskiJake Leschyshyn24122
4Alexander ChmelevskiTy DellandreaKurtis Gabriel21122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Greg PaterynOskari Laaksonen36122
2Alex BiegaSamuel Bolduc34122
3Cam YorkDawson Barteaux30122
4Samuel BolducOskari Laaksonen0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kurtis GabrielAlexander ChmelevskiTy Dellandrea60122
2Andy AndreoffNikita AlexandrovJake Leschyshyn40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Greg PaterynOskari Laaksonen60122
2Alex BiegaSamuel Bolduc40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alexander ChmelevskiKurtis Gabriel60122
2Nikita AlexandrovAndy Andreoff40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dawson BarteauxOskari Laaksonen60122
2Cam YorkSamuel Bolduc40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alexander Chmelevski60122Dawson BarteauxOskari Laaksonen60122
2Kurtis Gabriel40122Greg PaterynSamuel Bolduc40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alexander ChmelevskiKurtis Gabriel60122
2Nikita AlexandrovAndy Andreoff40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Greg PaterynOskari Laaksonen60122
2Dawson BarteauxSamuel Bolduc40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kurtis GabrielAlexander ChmelevskiTy DellandreaGreg PaterynOskari Laaksonen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kurtis GabrielAlexander ChmelevskiTy DellandreaGreg PaterynOskari Laaksonen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alexander Chmelevski, Kurtis Gabriel, Andy AndreoffKurtis Gabriel, Alexander ChmelevskiAlexander Chmelevski
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Oskari Laaksonen, Dawson Barteaux, Samuel BolducOskari LaaksonenDawson Barteaux, Oskari Laaksonen
Tirs de pénalité
Alexander Chmelevski, Kurtis Gabriel, Nikita Alexandrov, Andy Andreoff, Ty Dellandrea
Gardien
#1 : Jakub Skarek, #2 : Alex Stalock
Lignes d’attaque personnalisées en prolongation
Alexander Chmelevski, Kurtis Gabriel, Nikita Alexandrov, Andy Andreoff, Tommy Novak, Max Willman, Max Willman, Jake Leschyshyn, Kyle Clifford, Ty Dellandrea, Gabriel Fortier
Lignes de défense personnalisées en prolongation
Cam York, Oskari Laaksonen, Alex Biega, Samuel Bolduc, Greg Pateryn


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%0
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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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
6 - 2022-09-148IceHogs-Eagles-
7 - 2022-09-1519IceHogs-Silver Knights-
9 - 2022-09-1738IceHogs-Barracuda-
15 - 2022-09-2372Griffins-IceHogs-
17 - 2022-09-2587Firebirds-IceHogs-
19 - 2022-09-27103Checkers-IceHogs-
21 - 2022-09-29116Condors-IceHogs-
23 - 2022-10-01133IceHogs-Americans-
24 - 2022-10-02140Wild-IceHogs-
26 - 2022-10-04152Islanders-IceHogs-
28 - 2022-10-06168Reign-IceHogs-
30 - 2022-10-08177IceHogs-Moose-
35 - 2022-10-13220IceHogs-Reign-
37 - 2022-10-15234IceHogs-Gulls-
39 - 2022-10-17246Wolves-IceHogs-
41 - 2022-10-19258Thunderbirds-IceHogs-
44 - 2022-10-22278IceHogs-Bruins-
45 - 2022-10-23290Penguins-IceHogs-
48 - 2022-10-26313IceHogs-Stars-
50 - 2022-10-28320Rocket-IceHogs-
52 - 2022-10-30342Moose-IceHogs-
55 - 2022-11-02364Condors-IceHogs-
58 - 2022-11-05387IceHogs-Wolf Pack-
59 - 2022-11-06396IceHogs-Islanders-
61 - 2022-11-08403IceHogs-Comets-
64 - 2022-11-11428Moose-IceHogs-
68 - 2022-11-15463Bears-IceHogs-
70 - 2022-11-17478Silver Knights-IceHogs-
71 - 2022-11-18481IceHogs-Wild-
73 - 2022-11-20499Wolf Pack-IceHogs-
76 - 2022-11-23521Admirals-IceHogs-
78 - 2022-11-25540Monsters-IceHogs-
82 - 2022-11-29548IceHogs-Wolves-
84 - 2022-12-01568IceHogs-Thunderbirds-
86 - 2022-12-03584IceHogs-Monsters-
87 - 2022-12-04592Barracuda-IceHogs-
89 - 2022-12-06605Crunch-IceHogs-
92 - 2022-12-09625Roadrunners-IceHogs-
94 - 2022-12-11641Heat-IceHogs-
98 - 2022-12-15671Eagles-IceHogs-
100 - 2022-12-17687Firebirds-IceHogs-
103 - 2022-12-20709Americans-IceHogs-
105 - 2022-12-22719IceHogs-Phantoms-
107 - 2022-12-24741IceHogs-Thunderbirds-
108 - 2022-12-25747Reign-IceHogs-
110 - 2022-12-27765IceHogs-Canucks-
112 - 2022-12-29777IceHogs-Heat-
114 - 2022-12-31798IceHogs-Condors-
124 - 2023-01-10818Gulls-IceHogs-
127 - 2023-01-13830Roadrunners-IceHogs-
128 - 2023-01-14844IceHogs-Moose-
131 - 2023-01-17856IceHogs-Rocket-
132 - 2023-01-18864IceHogs-Marlies-
134 - 2023-01-20878IceHogs-Senators-
136 - 2023-01-22899Marlies-IceHogs-
138 - 2023-01-24915Silver Knights-IceHogs-
139 - 2023-01-25918IceHogs-Stars-
142 - 2023-01-28946IceHogs-Barracuda-
144 - 2023-01-30957IceHogs-Gulls-
145 - 2023-01-31966IceHogs-Roadrunners-
147 - 2023-02-02980Stars-IceHogs-
149 - 2023-02-04998Admirals-IceHogs-
151 - 2023-02-061009Senators-IceHogs-
153 - 2023-02-081023IceHogs-Griffins-
155 - 2023-02-101036IceHogs-Checkers-
156 - 2023-02-111042IceHogs-Crunch-
159 - 2023-02-141070Bruins-IceHogs-
161 - 2023-02-161085IceHogs-Admirals-
163 - 2023-02-181106IceHogs-Roadrunners-
165 - 2023-02-201117IceHogs-Eagles-
168 - 2023-02-231135IceHogs-Bears-
170 - 2023-02-251155IceHogs-Wild-
171 - 2023-02-261168Canucks-IceHogs-
173 - 2023-02-281182Stars-IceHogs-
175 - 2023-03-021196Thunderbirds-IceHogs-
177 - 2023-03-041211Comets-IceHogs-
180 - 2023-03-071236IceHogs-Heat-
182 - 2023-03-091254IceHogs-Canucks-
184 - 2023-03-111271IceHogs-Firebirds-
186 - 2023-03-131281Wild-IceHogs-
187 - 2023-03-141286IceHogs-Penguins-
189 - 2023-03-161306Phantoms-IceHogs-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets350
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
22,778$ 2,152,500$ 2,152,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,389$ 22,778$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 187 11,389$ 2,129,743$




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
Saison régulière
11822037051226162233-71419180362376112-364111190260386121-35721622594213223656712203449572177768232474527519811023736.27%1053863.81%6645137546.91%549116747.04%45494048.30%152568516068461860925
11822037051226162233-71419180362376112-364111190260386121-35721622594213223656712203449572177768232474527519811023736.27%1053863.81%6645137546.91%549116747.04%45494048.30%152568516068461860925
Total Saison régulière164407401024412324466-142821836061246152224-72822238041206172242-701443245188426446130134244068990144215541364648149055039622047436.27%2107663.81%121290275046.91%1098233447.04%908188048.30%305113703212169337211851