Connexion

IceHogs
GP: 19 | W: 7 | L: 9 | OTL: 3 | P: 17
GF: 65 | GA: 73 | PP%: 33.93% | PK%: 78.67%
DG: Frederic Dion | Morale : 50 | Moyenne d’équipe : 67
Prochain matchs #327 vs Binghamton Senateurs
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Centre de jeu
IceHogs
7-9-3, 17pts
7
FINAL
5 Roadrunners
9-7-1, 19pts
Team Stats
L1StreakL1
3-5-2Home Record5-4-1
4-4-1Away Record4-3-0
4-4-2Last 10 Games6-4-0
3.42Buts par match 3.76
3.84Buts contre par match 3.65
33.93%Pourcentage en avantage numérique23.33%
78.67%Pourcentage en désavantage numérique77.42%
Iowa Wild
12-6-2, 26pts
6
FINAL
4 IceHogs
7-9-3, 17pts
Team Stats
W3StreakL1
8-0-1Home Record3-5-2
4-6-1Away Record4-4-1
6-2-2Last 10 Games4-4-2
3.40Buts par match 3.42
2.70Buts contre par match 3.84
21.18%Pourcentage en avantage numérique33.93%
81.82%Pourcentage en désavantage numérique78.67%
Binghamton Senateurs
9-9-1, 19pts
2022-12-02
IceHogs
7-9-3, 17pts
Statistiques d’équipe
W2SéquenceL1
4-4-1Fiche domicile3-5-2
5-5-0Fiche visiteur4-4-1
5-4-110 derniers matchs4-4-2
3.53Buts par match 3.42
3.79Buts contre par match 3.84
17.50%Pourcentage en avantage numérique33.93%
78.13%Pourcentage en désavantage numérique78.67%
IceHogs
7-9-3, 17pts
2022-12-04
Firebirds
8-11-0, 16pts
Statistiques d’équipe
L1SéquenceL3
3-5-2Fiche domicile4-5-0
4-4-1Fiche visiteur4-6-0
4-4-210 derniers matchs5-5-0
3.42Buts par match 2.95
3.84Buts contre par match 3.11
33.93%Pourcentage en avantage numérique15.49%
78.67%Pourcentage en désavantage numérique81.82%
IceHogs
7-9-3, 17pts
2022-12-06
Marlies
10-6-2, 22pts
Statistiques d’équipe
L1SéquenceW1
3-5-2Fiche domicile4-4-2
4-4-1Fiche visiteur6-2-0
4-4-210 derniers matchs5-4-1
3.42Buts par match 3.78
3.84Buts contre par match 3.11
33.93%Pourcentage en avantage numérique25.00%
78.67%Pourcentage en désavantage numérique81.71%
Meneurs d'équipe
Victoires
David Rittich
6
Pourcentage d’arrêts
Alex Lyon
0.948

Statistiques d’équipe
Buts pour
65
3.42 GFG
Tirs pour
727
38.26 Avg
Pourcentage en avantage numérique
33.9%
19 GF
Début de zone offensive
39.5%
Buts contre
73
3.84 GAA
Tirs contre
738
38.84 Avg
Pourcentage en désavantage numérique
78.7%
16 GA
Début de la zone défensive
42.9%
Information d’équipe

Directeur généralFrederic Dion
EntraîneurJoel Bouchard
DivisionCENTRALE
ConférenceOUEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,920
Billets de saison300


Information formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 55
Espoirs6


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
1Michael Mersch0X100.007441796583888964666365626570750507103031,023,000$
2Zac Dalpe0X98.007039916680878462746064676373780507003331,320,000$
3Chris Terry0X100.005934716470948964716667626473750507003321,070,000$
4Kieffer Bellows0X100.00863878637679776358686555646366050690243941,000$
5Lukas Reichel0X100.006136926970828967656663646961620506902031,337,500$
6Andy Andreoff0X100.00783773647983886375616259637173050690312948,000$
7Dakota Joshua0X100.00845372588577835973606157596667050680262861,000$
8Kole Sherwood0X100.007537696280837159536258606265670506702521,285,000$
9Alex Whelan0X100.00683891587780825553565759546567050650251750,000$
10Joona Luoto0X100.00583595618263676258596061626764050650252900,000$
11Taylor Ward0X100.007339825982776256616458575964660506502421,170,000$
12Josh Lopina (R)0X100.00693981587973645663575456536163050630212925,000$
13Robin Salo0X100.00673691657985846530645963526466050690241925,000$
14Kevin Connauton0X97.007938835981867558306154635074720506803221,550,000$
15Reece Willcox0X100.007836915887818657305652594673670506602811,000,000$
16Olle Alsing0X100.005835956466777662306057615069650506502621,000,000$
17Jonathan Aspirot0X99.006542675874697657305857564566680506402321,350,000$
18Filip Kral0X100.00653878577466865430605357466365050630232810,000$
Rayé
1Jayson Megna0X86.187237836476827963746662646372740506903221,227,000$
2Paul Carey0XXX96.005035956477827861636062616382790506703411,000,000$
3Drake Rymsha0X100.006342675472777953615552545364660506102411,202,000$
4Brent Gates0XX100.007973936673535452654158645544440506002521,144,000$
5Nick Jones0XX100.007264896264636653664754605144440506002641,017,000$
6Chad Krys0X100.005839775769667256305752534564660506102411,627,500$
MOYENNE D’ÉQUIPE99.0069418361767777595559596057666705066
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
1David Rittich100.00787570857776787776787772840507903022,973,000$
2Alex Lyon100.00747576787372747372747370840507602921,198,000$
Rayé
1Dylan Wells100.00676566786665676665676664710506902411,245,000$
2Ryan Bednard100.0065676691646365646365646573050690252932,000$
MOYENNE D’ÉQUIPE100.007171708370697170697170687805073
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Bouchard71686965746978CAN483750,000$


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
1Zac DalpeIceHogs (CHI)C1791524-240155266163813.64%837221.91371015430112551054.23%56800001.2904000120
2Chris TerryIceHogs (CHI)LW1910919-42083372166613.89%935618.7834720530000180150.70%7100001.0613000112
3Robin SaloIceHogs (CHI)D1741519-5100132633112512.12%2842725.152571039000152000.00%000000.8900000003
4Olle AlsingIceHogs (CHI)D194913-1607173491111.76%3335218.542241946000059100.00%000000.7400000011
5Michael MerschIceHogs (CHI)LW195712-36029307523596.67%439520.8421316441015591047.62%2100000.6103000000
6Kieffer BellowsIceHogs (CHI)LW193811-416058216324424.76%035818.8811215510000110045.45%5500000.6113000020
7Lukas ReichelIceHogs (CHI)LW175611-4004307318586.85%434920.5822416360003520146.34%4100000.6314000100
8Dakota JoshuaIceHogs (CHI)C195510-2100363646133010.87%330416.011123180001420150.25%40800000.6600000100
9Kole SherwoodIceHogs (CHI)RW19549340171737112113.51%022111.6600000000000045.00%2000100.8100000100
10Andy AndreoffIceHogs (CHI)C19639-3120393756223610.71%431216.462241229000032051.67%38900010.5801000100
11Kevin ConnautonIceHogs (CHI)D18167-91807313267133.85%3245525.331341248011158000.00%000000.3100000100
12Reece WillcoxIceHogs (CHI)D19167-3180401819955.26%2535118.52000411000021000.00%000000.4000000000
13Paul CareyIceHogs (CHI)C/LW/RW18347-2201182891410.71%41518.4202208000040047.37%13300000.9201000001
14Taylor WardIceHogs (CHI)RW19167-614017213810372.63%333117.4300000000000043.48%2300000.4200000000
15Jonathan AspirotIceHogs (CHI)D19055-42203316265110.00%2143022.680331244000157000.00%000000.2300000000
16Filip KralIceHogs (CHI)D19145-11602510104310.00%1123412.330000000003010.00%000000.4300000000
17Alex WhelanIceHogs (CHI)RW17011-800489280.00%1895.2800000000000042.86%700000.2200000000
18Joona LuotoIceHogs (CHI)LW190112001410690.00%0422.2400000000000050.00%200000.4700000000
19Jayson MegnaIceHogs (CHI)C2011100255240.00%12311.7801102000040065.71%3500000.8500000000
20Chad KrysIceHogs (CHI)D3011220201010.00%14816.250000000002000.00%000000.4100000000
21Josh LopinaIceHogs (CHI)C3000-300020000.00%072.5600000000000050.00%1400000.0000000000
Statistiques d’équipe totales ou en moyenne34063116179-5616204244147272174918.67%192562016.53193453154481123145095451.48%178700110.64319000767
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
1David RittichIceHogs (CHI)186830.8993.9299400656410210.85020180210
2Alex LyonIceHogs (CHI)41100.9481.83164005960000.0000118000
Statistiques d’équipe totales ou en moyenne227930.9053.63115800707370210.850201918210


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 moyenPlafond 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 LyonIceHogs (CHI)G291992-12-09No201 Lbs6 ft1NoNoNo2Pro & Farm1,198,000$921,043$650,000$0$0$No1,198,000$Lien
Alex WhelanIceHogs (CHI)RW251997-07-20No212 Lbs6 ft0NoNoNo1Pro & Farm750,000$576,612$750,000$0$0$NoLien
Andy AndreoffIceHogs (CHI)C311991-05-17No200 Lbs6 ft2NoNoNo2Pro & Farm948,000$728,838$650,000$0$0$No948,000$Lien
Brent GatesIceHogs (CHI)C/LW251997-08-12No198 Lbs6 ft2NoNoNo2Pro & Farm1,144,000$879,526$812,500$0$0$No1,144,000$Lien
Chad KrysIceHogs (CHI)D241998-04-10No185 Lbs5 ft11NoNoNo1Pro & Farm1,627,500$1,251,250$853,334$0$0$NoLien
Chris TerryIceHogs (CHI)LW331989-04-07No191 Lbs5 ft10NoNoNo2Pro & Farm1,070,000$822,634$1,000,000$0$0$No1,070,000$Lien
Dakota JoshuaIceHogs (CHI)C261996-05-15No206 Lbs6 ft3NoNoNo2Pro & Farm861,000$661,951$650,000$0$0$No861,000$Lien
David RittichIceHogs (CHI)G301992-08-19No206 Lbs6 ft3NoNoNo2Pro & Farm2,973,000$2,285,693$650,000$0$0$No2,973,000$Lien
Drake RymshaIceHogs (CHI)C241998-08-06No187 Lbs6 ft0NoNoNo1Pro & Farm1,202,000$924,118$937,500$0$0$NoLien
Dylan WellsIceHogs (CHI)G241998-01-03No190 Lbs6 ft2NoNoNo1Pro & Farm1,245,000$957,177$750,000$0$0$NoLien
Filip KralIceHogs (CHI)D231999-10-20No185 Lbs6 ft1NoNoNo2Pro & Farm810,000$622,741$700,000$0$0$No810,000$Lien
Jayson Megna (sur la masse salariale)IceHogs (CHI)C321990-02-01No195 Lbs6 ft1NoNoNo2Pro & Farm1,227,000$943,338$650,000$0$0$Yes1,227,000$Lien
Jonathan AspirotIceHogs (CHI)D231999-05-16No200 Lbs6 ft0NoNoNo2Pro & Farm1,350,000$1,037,903$650,000$0$0$No1,200,000$Lien
Joona LuotoIceHogs (CHI)LW251997-09-26No192 Lbs6 ft3NoNoNo2Pro & Farm900,000$691,935$741,667$0$0$No900,000$Lien
Josh LopinaIceHogs (CHI)C212001-02-16Yes195 Lbs6 ft2NoNoNo2Pro & Farm925,000$711,155$700,000$0$0$No925,000$
Kevin ConnautonIceHogs (CHI)D321990-02-23No205 Lbs6 ft2NoNoNo2Pro & Farm1,550,000$1,191,666$1,550,000$0$0$No1,550,000$Lien
Kieffer BellowsIceHogs (CHI)LW241998-06-10No195 Lbs6 ft1NoNoNo3Pro & Farm941,000$723,456$650,000$0$0$No941,000$941,000$Lien
Kole SherwoodIceHogs (CHI)RW251997-01-22No212 Lbs6 ft1NoNoNo2Pro & Farm1,285,000$987,930$650,000$0$0$No1,285,000$Lien
Lukas ReichelIceHogs (CHI)LW202002-05-17No170 Lbs6 ft0NoNoNo3Pro & Farm1,337,500$1,028,293$700,000$0$0$No1,337,500$1,337,500$Lien
Michael MerschIceHogs (CHI)LW301992-10-02No213 Lbs6 ft2NoNoNo3Pro & Farm1,023,000$786,500$0$0$No1,023,000$1,023,000$Lien
Nick JonesIceHogs (CHI)C/RW261996-06-02No176 Lbs5 ft11NoNoNo4Pro & Farm1,017,000$781,887$650,000$0$0$No1,017,000$1,017,000$1,017,000$Lien
Olle AlsingIceHogs (CHI)D261996-05-01No170 Lbs5 ft11NoNoNo2Pro & Farm1,000,000$768,817$1,000,000$0$0$No1,000,000$Lien
Paul CareyIceHogs (CHI)C/LW/RW341988-09-24No196 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$768,817$1,000,000$0$0$NoLien
Reece WillcoxIceHogs (CHI)D281994-03-20No205 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$768,817$1,000,000$0$0$NoLien
Robin SaloIceHogs (CHI)D241998-10-13No192 Lbs6 ft2NoNoNo1Pro & Farm925,000$711,155$700,000$0$0$NoLien
Ryan BednardIceHogs (CHI)G251997-03-31No207 Lbs6 ft5NoNoNo2Pro & Farm932,000$716,537$925,000$0$0$No932,000$Lien
Taylor WardIceHogs (CHI)RW241998-03-31No207 Lbs6 ft2NoNoNo2Pro & Farm1,170,000$899,516$1,170,000$0$0$No1,170,000$Lien
Zac DalpeIceHogs (CHI)C331989-11-01No197 Lbs6 ft2NoNoNo3Pro & Farm1,320,000$1,014,838$650,000$0$0$No1,320,000$1,320,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2826.64196 Lbs6 ft11.961,168,964$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chris TerryZac DalpeKieffer Bellows30122
2Michael MerschAndy AndreoffLukas Reichel30122
3Joona LuotoDakota JoshuaKole Sherwood24122
4Alex WhelanJosh LopinaTaylor Ward16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin ConnautonRobin Salo45122
2Jonathan AspirotOlle Alsing40122
3Filip KralReece Willcox15122
4Jonathan AspirotKevin Connauton0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kieffer BellowsAndy AndreoffChris Terry50122
2Michael MerschZac DalpeLukas Reichel50122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin ConnautonRobin Salo50122
2Jonathan AspirotOlle Alsing50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Chris TerryMichael Mersch50122
2Zac DalpeDakota Joshua50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin ConnautonReece Willcox50122
2Jonathan AspirotOlle Alsing50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Chris Terry50122Kevin ConnautonReece Willcox60122
2Andy Andreoff50122Jonathan AspirotOlle Alsing40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Chris TerryKieffer Bellows50122
2Andy AndreoffMichael Mersch50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin ConnautonRobin Salo50122
2Jonathan AspirotOlle Alsing50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andy AndreoffChris TerryMichael MerschOlle AlsingJonathan Aspirot
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris TerryAndy AndreoffMichael MerschKevin ConnautonOlle Alsing
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kieffer Bellows, Chris Terry, Andy AndreoffChris Terry, Kieffer BellowsAndy Andreoff
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jonathan Aspirot, Olle Alsing, Filip KralJonathan AspirotKevin Connauton, Olle Alsing
Tirs de pénalité
Chris Terry, Michael Mersch, Zac Dalpe, Lukas Reichel, Kieffer Bellows
Gardien
#1 : David Rittich, #2 : Alex Lyon
Lignes d’attaque personnalisées en prolongation
Chris Terry, Michael Mersch, Zac Dalpe, Kieffer Bellows, Lukas Reichel, Andy Andreoff, Andy Andreoff, Dakota Joshua, Alex Whelan, Joona Luoto, Taylor Ward
Lignes de défense personnalisées en prolongation
Kevin Connauton, Olle Alsing, Jonathan Aspirot, Reece Willcox, Filip Kral


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
1Admirals2110000067-1110000006241010000005-520.50061016001824213101260199251365627125212325.00%5180.00%134869450.14%40175353.25%17130855.52%428288484145249117
2Americans1010000034-11010000034-10000000000000.0003470018242134626019925136481082622100.00%30100.00%034869450.14%40175353.25%17130855.52%428288484145249117
3Eagles2010000169-31000000134-11010000035-210.250611171018242139026019925136911824426233.33%10370.00%034869450.14%40175353.25%17130855.52%428288484145249117
4Iowa Wild40400000915-630300000711-41010000024-200.00091827001824213118260199251361504240839222.22%19384.21%034869450.14%40175353.25%17130855.52%428288484145249117
5Moose11000000523110000005230000000000021.0005813001824213452601992513631810282150.00%50100.00%034869450.14%40175353.25%17130855.52%428288484145249117
6Roadrunners32100000141221010000024-222000000128440.667142539001824213114260199251361042724629333.33%11281.82%034869450.14%40175353.25%17130855.52%428288484145249117
7Rockets1000010012-1000000000001000010012-110.50012300182421343260199251362892225120.00%10100.00%034869450.14%40175353.25%17130855.52%428288484145249117
8Texas Stars2010000159-41000000145-11010000014-310.250510150018242137026019925136852016454125.00%8275.00%034869450.14%40175353.25%17130855.52%428288484145249117
9Thunderbirds31000020161331000001054121000010119261.000162844001824213100260199251361453126647457.14%13561.54%034869450.14%40175353.25%17130855.52%428288484145249117
Total1959001226573-81025000123536-1934001103037-7170.4476511618110182421372726019925136738192162424561933.93%751678.67%134869450.14%40175353.25%17130855.52%428288484145249117
_Since Last GM Reset1959001226573-81025000123536-1934001103037-7170.4476511618110182421372726019925136738192162424561933.93%751678.67%134869450.14%40175353.25%17130855.52%428288484145249117
_Vs Conference1758000226167-69240001232320834000102935-6160.4716111017110182421363826019925136662173152376491632.65%711677.46%134869450.14%40175353.25%17130855.52%428288484145249117
_Vs Division1758000226167-69240001232320834000102935-6160.4716111017110182421363826019925136662173152376491632.65%711677.46%134869450.14%40175353.25%17130855.52%428288484145249117

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1917L16511618172773819216242410
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
195901226573
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
102500123536
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
93401103037
Derniers 10 matchs
WLOTWOTL SOWSOL
440101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
561933.93%751678.67%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
260199251361824213
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
34869450.14%40175353.25%17130855.52%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
428288484145249117


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
1 - 2022-10-164Moose2IceHogs5BWSommaire du match
3 - 2022-10-1820IceHogs2Iowa Wild4ALSommaire du match
5 - 2022-10-2037Americans4IceHogs3BLSommaire du match
6 - 2022-10-2147IceHogs7Thunderbirds6AWSommaire du match
10 - 2022-10-2573Iowa Wild3IceHogs2BLSommaire du match
12 - 2022-10-2790IceHogs3Eagles5ALSommaire du match
16 - 2022-10-31109Eagles4IceHogs3BLXXSommaire du match
20 - 2022-11-04129IceHogs5Roadrunners3AWSommaire du match
21 - 2022-11-05142Roadrunners4IceHogs2BLSommaire du match
24 - 2022-11-08165Thunderbirds4IceHogs5BWXXSommaire du match
25 - 2022-11-09179IceHogs1Texas Stars4ALSommaire du match
29 - 2022-11-13200Iowa Wild2IceHogs1BLSommaire du match
32 - 2022-11-16217IceHogs0Admirals5ALSommaire du match
34 - 2022-11-18231Texas Stars5IceHogs4BLXXSommaire du match
37 - 2022-11-21254Admirals2IceHogs6BWSommaire du match
38 - 2022-11-22261IceHogs4Thunderbirds3AWXXSommaire du match
40 - 2022-11-24281IceHogs1Rockets2ALXSommaire du match
42 - 2022-11-26289IceHogs7Roadrunners5AWSommaire du match
43 - 2022-11-27301Iowa Wild6IceHogs4BLSommaire du match
48 - 2022-12-02327Binghamton Senateurs-IceHogs-
50 - 2022-12-04347IceHogs-Firebirds-
52 - 2022-12-06357IceHogs-Marlies-
53 - 2022-12-07370Americans-IceHogs-
58 - 2022-12-12390IceHogs-Condors-
59 - 2022-12-13400Texas Stars-IceHogs-
62 - 2022-12-16424Roadrunners-IceHogs-
63 - 2022-12-17437IceHogs-Americans-
65 - 2022-12-19452IceHogs-Wolf Pack-
67 - 2022-12-21467Eagles-IceHogs-
71 - 2022-12-25486Thunderbirds-IceHogs-
75 - 2022-12-29508IceHogs-Eagles-
77 - 2022-12-31520IceHogs-Crunch-
78 - 2023-01-01527Moose-IceHogs-
81 - 2023-01-04550Eagles-IceHogs-
82 - 2023-01-05552IceHogs-Moose-
85 - 2023-01-08572IceHogs-islanders-
87 - 2023-01-10587IceHogs-Gulls-
88 - 2023-01-11595Texas Stars-IceHogs-
91 - 2023-01-14617IceHogs-Providence Bruins-
92 - 2023-01-15629Roadrunners-IceHogs-
93 - 2023-01-16647IceHogs-Barracuda-
96 - 2023-01-19661Canucks-IceHogs-
99 - 2023-01-22684Americans-IceHogs-
100 - 2023-01-23692IceHogs-Checkers-
102 - 2023-01-25707IceHogs-Texas Stars-
103 - 2023-01-26725Griffins-IceHogs-
106 - 2023-01-29744IceHogs-Roadrunners-
107 - 2023-01-30757Barracuda-IceHogs-
109 - 2023-02-01774IceHogs-Silver Knights-
111 - 2023-02-03790Phantoms-IceHogs-
115 - 2023-02-07814Bears-IceHogs-
119 - 2023-02-11840IceHogs-Thunderbirds-
121 - 2023-02-13848Binghamton Senateurs-IceHogs-
122 - 2023-02-14862IceHogs-Texas Stars-
126 - 2023-02-18882Monsters-IceHogs-
128 - 2023-02-20901IceHogs-Phantoms-
129 - 2023-02-21909Admirals-IceHogs-
131 - 2023-02-23926IceHogs-Reign-
132 - 2023-02-24941IceHogs-Canucks-
134 - 2023-02-26950Condors-IceHogs-
136 - 2023-02-28956IceHogs-Comets-
138 - 2023-03-02979Gulls-IceHogs-
139 - 2023-03-03987IceHogs-Iowa Wild-
144 - 2023-03-081010IceHogs-Wolves-
145 - 2023-03-091019W-B/Scranton Penguins-IceHogs-
148 - 2023-03-121041IceHogs-Checkers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2023-03-131050Crunch-IceHogs-
151 - 2023-03-151072Wranglers-IceHogs-
155 - 2023-03-191097IceHogs-Admirals-
157 - 2023-03-211103Firebirds-IceHogs-
158 - 2023-03-221120IceHogs-Wranglers-
161 - 2023-03-251134IceHogs-Admirals-
163 - 2023-03-271145Silver Knights-IceHogs-
164 - 2023-03-281163IceHogs-Moose-
165 - 2023-03-291171IceHogs-Iowa Wild-
167 - 2023-03-311182Thunderbirds-IceHogs-
169 - 2023-04-021194IceHogs-Moose-
171 - 2023-04-041209IceHogs-Eagles-
172 - 2023-04-051218Reign-IceHogs-
176 - 2023-04-091248Admirals-IceHogs-
181 - 2023-04-141278Moose-IceHogs-
184 - 2023-04-171307Moose-IceHogs-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3013
Assistance19,3599,844
Assistance PCT96.80%98.44%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 2920 - 97.34% 105,603$1,056,025$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,273,100$ 2,179,000$ 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
3,273,678$ 143 17,597$ 2,516,371$




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