ROCKFORD IceHogs

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Patrice Picher | Morale : 99 | Moyenne d'Équipe : 66
Prochain matchs #5 vs BRIDGEPORT Sound Tigers
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Jacob de la Rose0XX100.008342886186747962776056716269657499690252900,000$
2Seth Griffith0XX100.005246886567878964596361626573675899680271750,000$
3Michael Sgarbossa0X100.005946876271787563746261646275685499670281750,000$
4Alexandre Texier (R)0X100.005940856876836267716666596861627499670203750,000$
5Taylor Leier0X100.005345886068818362565861596071665799660261750,000$
6Remi Elie0X100.006443866180726958535759606269657299650251750,000$
7Mitchell Stephens (R)0X100.005945896172777363766060626465637799650233750,000$
8Martin Marincin0X100.006943886293757159306157655175695999680281750,000$
9Dillon Heatherington0X100.006852865990828057305856605169756899680251750,000$
10Thomas Hickey0X100.0058428663717867623060576855796966996603122,500,000$
11Connor Carrick0X100.0059438563717573613062575854716754996502621,200,000$
12Kevin Gravel0X100.006643845987726758305756645375685399650281750,000$
Rayé
1Samuel Blais (R)0X100.0090488766816970655361646766676551996902441,300,000$
2JC Lipon0X100.0056676960718788585557575660736754996602700$
3Brett Seney0X100.005546796465797863686259576367645699650242750,000$
4Jayden Halbgewachs0X100.005342876260868861575958536265636199650232750,000$
5Adam Mascherin0X100.005044885761828455535856525763626499620222750,000$
6Carl Dahlstrom0X100.005745835993827158306350694669656699660251850,000$
7Lawrence Pilut0X100.005942876471797762306358615469655499660241750,000$
MOYENNE D'ÉQUIPE100.00624585627579766151605861597066629966
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
Rayé
1Scott Wedgewood100.00698583806867696867696875815399660
MOYENNE D'ÉQUIPE100.0069858380686769686769687581539966
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Gulutzan72727272787874CAN493500,000$


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 RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam MascherinROCKFORD IceHogs (CHI)LW226/6/1998No91 Kg155 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Alexandre TexierROCKFORD IceHogs (CHI)C209/13/1999Yes87 Kg185 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Brett SeneyROCKFORD IceHogs (CHI)C242/29/1996No71 Kg175 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Carl DahlstromROCKFORD IceHogs (CHI)D251/28/1995No105 Kg193 CMNoNoNo1Pro & Farm850,000$850,000$750,000$750,000$0$0$NoLien
Connor CarrickROCKFORD IceHogs (CHI)D264/13/1994No87 Kg180 CMNoNoNo2Pro & Farm1,200,000$1,200,000$1,200,000$1,200,000$0$0$No1,200,000$Lien
Dillon HeatheringtonROCKFORD IceHogs (CHI)D255/9/1995No100 Kg193 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
JC LiponROCKFORD IceHogs (CHI)RW277/10/1993No83 Kg183 CMNoNoNo0Pro & Farm0$0$NoLien
Jacob de la RoseROCKFORD IceHogs (CHI)C/LW255/20/1995No98 Kg191 CMNoNoNo2Pro & Farm900,000$900,000$900,000$900,000$0$0$No900,000$Lien
Jayden HalbgewachsROCKFORD IceHogs (CHI)LW233/22/1997No73 Kg173 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Kevin GravelROCKFORD IceHogs (CHI)D283/6/1992No93 Kg193 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Lawrence PilutROCKFORD IceHogs (CHI)D2412/30/1995No88 Kg180 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Martin MarincinROCKFORD IceHogs (CHI)D282/18/1992No99 Kg196 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Michael SgarbossaROCKFORD IceHogs (CHI)C287/25/1992No84 Kg183 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Mitchell StephensROCKFORD IceHogs (CHI)C232/5/1997Yes88 Kg180 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$
Remi ElieROCKFORD IceHogs (CHI)LW254/16/1995No98 Kg185 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Samuel BlaisROCKFORD IceHogs (CHI)LW246/17/1996Yes88 Kg185 CMNoNoNo4Pro & Farm1,300,000$1,300,000$750,000$750,000$0$0$No1,300,000$1,300,000$1,300,000$
Scott WedgewoodROCKFORD IceHogs (CHI)G288/14/1992No96 Kg185 CMNoNoNo6Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$750,000$Lien
Seth GriffithROCKFORD IceHogs (CHI)C/RW271/4/1993No86 Kg175 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Taylor LeierROCKFORD IceHogs (CHI)LW262/15/1994No82 Kg180 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Thomas HickeyROCKFORD IceHogs (CHI)D312/8/1989No83 Kg183 CMNoNoNo2Pro & Farm2,500,000$2,500,000$2,500,000$2,500,000$0$0$No2,500,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2025.4589 Kg183 CM1.85862,500$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alexandre Texier31122
2Taylor LeierSeth Griffith26122
3Remi ElieMichael SgarbossaSeth Griffith23122
4Alexandre TexierSeth Griffith20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Martin MarincinDillon Heatherington31122
2Thomas Hickey26122
3Connor Carrick23122
4Kevin GravelMartin Marincin20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Seth Griffith55122
2Taylor LeierSeth Griffith45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Martin MarincinDillon Heatherington55122
2Thomas Hickey45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
2Seth GriffithTaylor Leier45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Martin MarincinDillon Heatherington55122
2Thomas Hickey45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
155122Martin MarincinDillon Heatherington55122
2Seth Griffith45122Thomas Hickey45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
2Seth GriffithTaylor Leier45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Martin MarincinDillon Heatherington55122
2Thomas Hickey45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Seth GriffithMartin MarincinDillon Heatherington
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Seth GriffithMartin MarincinDillon Heatherington
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alexandre Texier, , Taylor LeierAlexandre Texier, Alexandre Texier
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Connor Carrick, Kevin Gravel, Connor Carrick
Tirs de Pénalité
, , Seth Griffith, Michael Sgarbossa, Alexandre Texier
Gardien
#1 : , #2 :
Lignes d'Attaque Perso. en Prol.
, , Seth Griffith, Michael Sgarbossa, Alexandre Texier, , , Taylor Leier, Remi Elie, ,
Lignes de Défense Perso. en Prol.
Martin Marincin, Dillon Heatherington, Thomas Hickey, ,


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
LigueDomicileVisiteur
# 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 PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
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 Match 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 - 2021-01-165ROCKFORD IceHogs-BRIDGEPORT Sound Tigers-
3 - 2021-01-1815COLORADO Eagles-ROCKFORD IceHogs-
6 - 2021-01-2132ST-ANTONIO Rampage-ROCKFORD IceHogs-
10 - 2021-01-2553LAVAL Rocket-ROCKFORD IceHogs-
16 - 2021-01-3181COLORADO Eagles-ROCKFORD IceHogs-
22 - 2021-02-06105HERSEY Bears-ROCKFORD IceHogs-
24 - 2021-02-08111ROCKFORD IceHogs-MILWAUKEE Admirals-
26 - 2021-02-10128ROCKFORD IceHogs-LAVAL Rocket-
27 - 2021-02-11132ROCKFORD IceHogs-SAN DIEGO Gulls-
28 - 2021-02-12137BRIDGEPORT Sound Tigers-ROCKFORD IceHogs-
32 - 2021-02-16157ROCKFORD IceHogs-MILWAUKEE Admirals-
33 - 2021-02-17163CAROLINA Checkers-ROCKFORD IceHogs-
36 - 2021-02-20179ROCKFORD IceHogs-TUSCON Roadrunners-
37 - 2021-02-21188UTICA Comets-ROCKFORD IceHogs-
42 - 2021-02-26212TORONTO Marlies-ROCKFORD IceHogs-
46 - 2021-03-02233ROCKFORD IceHogs-IOWA Wild-
47 - 2021-03-03237SYRACUSE Crunch-ROCKFORD IceHogs-
50 - 2021-03-06252ROCKFORD IceHogs-STOCKTON Flames-
51 - 2021-03-07263BRIDGEPORT Sound Tigers-ROCKFORD IceHogs-
54 - 2021-03-10280ROCKFORD IceHogs-BRIDGEPORT Sound Tigers-
56 - 2021-03-12287BINGHAMTON Devils-ROCKFORD IceHogs-
59 - 2021-03-15302ROCKFORD IceHogs-CHICAGO Wolves-
62 - 2021-03-18315CAROLINA Checkers-ROCKFORD IceHogs-
64 - 2021-03-20332ROCKFORD IceHogs-BELLEVILLE Senators-
66 - 2021-03-22341GRAND RAPIDS Griffins-ROCKFORD IceHogs-
68 - 2021-03-24355ROCKFORD IceHogs-BRIDGEPORT Sound Tigers-
70 - 2021-03-26367CHICAGO Wolves-ROCKFORD IceHogs-
73 - 2021-03-29384ROCKFORD IceHogs-UTICA Comets-
75 - 2021-03-31392BELLEVILLE Senators-ROCKFORD IceHogs-
80 - 2021-04-05414ROCKFORD IceHogs-LAVAL Rocket-
81 - 2021-04-06422ONTARIO Reign-ROCKFORD IceHogs-
86 - 2021-04-11444SCRANTON Penguins-ROCKFORD IceHogs-
88 - 2021-04-13456ROCKFORD IceHogs-ST-ANTONIO Rampage-
90 - 2021-04-15465ROCKFORD IceHogs-SCRANTON Penguins-
91 - 2021-04-16474ST-ANTONIO Rampage-ROCKFORD IceHogs-
94 - 2021-04-19496ST-ANTONIO Rampage-ROCKFORD IceHogs-
95 - 2021-04-20502ROCKFORD IceHogs-SAN DIEGO Gulls-
99 - 2021-04-24522MANITOBA Moose-ROCKFORD IceHogs-
102 - 2021-04-27541ROCKFORD IceHogs-BINGHAMTON Devils-
103 - 2021-04-28548LEHIGH VALLEY Phantoms-ROCKFORD IceHogs-
106 - 2021-05-01565ROCKFORD IceHogs-HERSEY Bears-
107 - 2021-05-02574TUSCON Roadrunners-ROCKFORD IceHogs-
112 - 2021-05-07596ROCKFORD IceHogs-GRAND RAPIDS Griffins-
113 - 2021-05-08602TUSCON Roadrunners-ROCKFORD IceHogs-
116 - 2021-05-11615ROCKFORD IceHogs-TORONTO Marlies-
117 - 2021-05-12627BAKERSFIELD Condors-ROCKFORD IceHogs-
120 - 2021-05-15638ROCKFORD IceHogs-COLORADO Eagles-
122 - 2021-05-17651ROCKFORD IceHogs-MILWAUKEE Admirals-
123 - 2021-05-18655PROVIDENCE Bruins-ROCKFORD IceHogs-
126 - 2021-05-21672ROCKFORD IceHogs-TORONTO Marlies-
128 - 2021-05-23680ROCKFORD IceHogs-STOCKTON Flames-
129 - 2021-05-24685UTICA Comets-ROCKFORD IceHogs-
133 - 2021-05-28707SAN DIEGO Gulls-ROCKFORD IceHogs-
134 - 2021-05-29715ROCKFORD IceHogs-BAKERSFIELD Condors-
138 - 2021-06-02733HERSEY Bears-ROCKFORD IceHogs-
142 - 2021-06-06754ROCKFORD IceHogs-SYRACUSE Crunch-
143 - 2021-06-07758IOWA Wild-ROCKFORD IceHogs-
148 - 2021-06-12782BROOKLYN Wolfpack-ROCKFORD IceHogs-
150 - 2021-06-14793ROCKFORD IceHogs-ST-ANTONIO Rampage-
152 - 2021-06-16806SAN DIEGO Gulls-ROCKFORD IceHogs-
153 - 2021-06-17812ROCKFORD IceHogs-ONTARIO Reign-
156 - 2021-06-20823ROCKFORD IceHogs-BROOKLYN Wolfpack-
158 - 2021-06-22835BELLEVILLE Senators-ROCKFORD IceHogs-
160 - 2021-06-24846ROCKFORD IceHogs-BROOKLYN Wolfpack-
163 - 2021-06-27862COLORADO Eagles-ROCKFORD IceHogs-
164 - 2021-06-28868ROCKFORD IceHogs-PROVIDENCE Bruins-
166 - 2021-06-30876ROCKFORD IceHogs-COLORADO Eagles-
169 - 2021-07-03889ROCKFORD IceHogs-TUSCON Roadrunners-
170 - 2021-07-04896LAVAL Rocket-ROCKFORD IceHogs-
173 - 2021-07-07911ROCKFORD IceHogs-MANITOBA Moose-
174 - 2021-07-08918ROCKFORD IceHogs-PROVIDENCE Bruins-
176 - 2021-07-10927COLORADO Eagles-ROCKFORD IceHogs-
180 - 2021-07-14945ROCKFORD IceHogs-LEHIGH VALLEY Phantoms-
182 - 2021-07-16954STOCKTON Flames-ROCKFORD IceHogs-
184 - 2021-07-18967ROCKFORD IceHogs-CAROLINA Checkers-
185 - 2021-07-19972ROCKFORD IceHogs-SAN DIEGO Gulls-
187 - 2021-07-21983LAVAL Rocket-ROCKFORD IceHogs-
191 - 2021-07-251003MILWAUKEE Admirals-ROCKFORD IceHogs-
196 - 2021-07-301024MILWAUKEE Admirals-ROCKFORD IceHogs-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
197 - 2021-07-311029ROCKFORD IceHogs-CAROLINA Checkers-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,725,000$ 1,660,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 200 8,625$ 1,725,000$




LigueDomicileVisiteur
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
3480332706653228197314013160432210996134020110233111910118972284126402694675617259085883985177206159762213482733914.29%2504382.80%21581279556.57%1246239152.11%649116055.95%212115321752547994510
3480332706653228197314013160432210996134020110233111910118972284126402694675617259085883985177206159762213482733914.29%2504382.80%21581279556.57%1246239152.11%649116055.95%212115321752547994510
Total Saison Régulière1606654012121064563946280263208644218192268040220466223820236194456824128041218813411234518017161678170215441221194124426965467814.29%5008682.80%43162559056.57%2492478252.11%1298232055.95%424330653505109519891021
Séries
3440400000713-62020000037-42020000046-20713200014201062440311114744347314214.29%13284.62%02911525.22%3916523.64%246636.36%9869119315226
Total Séries40400000713-62020000037-42020000046-20713200014201062440311114744347314214.29%13284.62%02911525.22%3916523.64%246636.36%9869119315226