ROCKFORD IceHogs

GP: 2 | W: 2 | L: 0 | OTL: 0 | P: 4
GF: 14 | GA: 2 | PP%: 0.00% | PK%: 100.00%
DG: Patrice Picher | Morale : 99 | Moyenne d'Équipe : 62
Prochain matchs #36 vs TUSCON Roadrunners
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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 SP
1Jacob de la Rose0XX100.006935746487787363756462706357527593680
2Travis Boyd (R)0X100.005835766869736868687164666652514796660
3Robby Fabbri0XX100.006435766368776663596361596256528199640
4Brett Seney0X100.006141686861679067656260576252514999640
5Sammy Blais0X100.007535706681636666606262566352514999640
6Martin Frk0X100.006435726678666566506361576354516999630
7Remi Elie0X100.006335736580605865596261586254517399620
8Michael Sgarbossa0X100.005089527072505070706666506652513799600
9Taylor Leier0X100.005089637068505070506464536452515799600
10Seth Griffith0XX100.005089667067505070506060506053515599580
11Adam Mascherin (R)0X100.005089667061505070506060536050504499580
12Axel Holmstrom (R)0X100.005189726674505066705858515850504499580
13JC Lipon (R)0X100.005089456771505067505858545850506099570
14Thomas Hickey0X100.006644756171807061305954796368557199660
15Connor Carrick0X100.006244776671766765306458676758525599650
16Martin Marincin0X100.006535786292716262315854696358526299640
17Carl Dahlstrom (R)0X100.006535776493706963305650676152516999640
18Kevin Gravel0X100.006435806089736860305753746254514699640
19Lawrence Pilut (R)0X100.005635746768666667305652636451504399610
Rayé
1Jayden Halbgewachs (R)0X100.005089687060505070505348535850504497560
2Dillon Heatherington0X100.006535576491515264304742535350506997560
MOYENNE D'ÉQUIPE100.00595469667563616649605860625451579862
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
1Scott Wedgewood100.00787083797776787776777252655599670
2Jared Coreau100.00726980967171727171716652623699650
Rayé
MOYENNE D'ÉQUIPE100.0075708288747475747474695264469966
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Gulutzan73757473777778CAN482450,000$


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
1Brett SeneyROCKFORD IceHogs (CHI)C22577003122489.09%02914.9200000000001090.62%3200004.6900000010
2Sammy BlaisROCKFORD IceHogs (CHI)LW2257700401121018.18%02914.92000000000010100.00%100004.6900000100
3Kevin GravelROCKFORD IceHogs (CHI)D2055700005140.00%03417.360000000000000.00%000002.8800000000
4Lawrence PilutROCKFORD IceHogs (CHI)D22357000080125.00%13216.430000000000000.00%000003.0400000010
5Martin FrkROCKFORD IceHogs (CHI)RW2314320163315159.68%03618.020000000000000.00%000002.2200000002
6Connor CarrickROCKFORD IceHogs (CHI)D2044300204120.00%04522.620000000001000.00%000001.7700000000
7Thomas HickeyROCKFORD IceHogs (CHI)D21233000151120.00%04522.620000000001000.00%000001.3300000000
8Carl DahlstromROCKFORD IceHogs (CHI)D21232007060816.67%03819.480000000002000.00%000001.5400000000
9Axel HolmstromROCKFORD IceHogs (CHI)C2202220221241016.67%12311.58000000000000100.00%1600001.7300000000
10Michael SgarbossaROCKFORD IceHogs (CHI)C210100022941511.11%02613.4800000000000092.86%2800000.7400000000
11Remi ElieROCKFORD IceHogs (CHI)LW200000042135200.00%02613.480000000000000.00%000000.0000000000
12Taylor LeierROCKFORD IceHogs (CHI)LW2000000000000.00%010.540000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne2414274141404011126279411.11%237015.4500000000052093.51%7700002.2100000122
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'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)LW211998-06-06Yes91 Kg155 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Axel HolmstromROCKFORD IceHogs (CHI)C231996-06-29Yes90 Kg183 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Brett SeneyROCKFORD IceHogs (CHI)C231996-02-29No71 Kg175 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Carl DahlstromROCKFORD IceHogs (CHI)D241995-01-28Yes105 Kg193 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Connor CarrickROCKFORD IceHogs (CHI)D251994-04-13No87 Kg180 CMNoNoNo1Pro & Farm1,300,000$1,276,576$1,300,000$1,276,576$0$0$NoLien
Dillon HeatheringtonROCKFORD IceHogs (CHI)D241995-05-09No102 Kg193 CMNoNoNo1Pro & Farm750,000$736,486$750,000$736,486$0$0$NoLien
JC LiponROCKFORD IceHogs (CHI)RW261993-07-10Yes83 Kg183 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Jacob de la RoseROCKFORD IceHogs (CHI)C/LW241995-05-20No98 Kg191 CMNoNoNo1Pro & Farm900,000$883,783$900,000$883,783$0$0$NoLien
Jared CoreauROCKFORD IceHogs (CHI)G271991-11-05No100 Kg198 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Jayden HalbgewachsROCKFORD IceHogs (CHI)LW221997-03-22Yes73 Kg173 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Kevin GravelROCKFORD IceHogs (CHI)D271992-03-06No96 Kg193 CMNoNoNo1Pro & Farm750,000$736,486$750,000$736,486$0$0$NoLien
Lawrence PilutROCKFORD IceHogs (CHI)D231995-12-30Yes82 Kg180 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Martin FrkROCKFORD IceHogs (CHI)RW251993-10-05No93 Kg185 CMNoNoNo1Pro & Farm1,050,000$1,031,081$1,050,000$1,031,081$0$0$NoLien
Martin MarincinROCKFORD IceHogs (CHI)D271992-02-18No97 Kg196 CMNoNoNo3Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$750,000$Lien
Michael SgarbossaROCKFORD IceHogs (CHI)C271992-07-25No85 Kg183 CMNoNoNo1Pro & Farm750,000$736,486$750,000$736,486$0$0$NoLien
Remi ElieROCKFORD IceHogs (CHI)LW241995-04-16No98 Kg185 CMNoNoNo1Pro & Farm750,000$736,486$750,000$736,486$0$0$NoLien
Robby FabbriROCKFORD IceHogs (CHI)C/LW231996-01-22No86 Kg178 CMNoNoNo4Pro & Farm900,000$883,783$900,000$883,783$0$0$No900,000$900,000$900,000$Lien
Sammy BlaisROCKFORD IceHogs (CHI)LW231996-06-17No93 Kg188 CMNoNoNo1Pro & Farm750,000$736,486$750,000$736,486$0$0$NoLien
Scott WedgewoodROCKFORD IceHogs (CHI)G271992-08-14No89 Kg188 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Seth GriffithROCKFORD IceHogs (CHI)C/RW261993-01-04No86 Kg175 CMNoNoNo3Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$750,000$Lien
Taylor LeierROCKFORD IceHogs (CHI)LW251994-02-15No82 Kg180 CMNoNoNo1Pro & Farm850,000$834,684$850,000$834,684$0$0$NoLien
Thomas HickeyROCKFORD IceHogs (CHI)D301989-02-08No83 Kg183 CMNoNoNo4Pro & Farm2,500,000$2,454,954$2,500,000$2,454,954$0$0$No2,500,000$2,500,000$2,500,000$Lien
Travis BoydROCKFORD IceHogs (CHI)C251993-09-14Yes84 Kg180 CMNoNoNo2Pro & Farm750,000$736,486$750,000$736,486$0$0$No750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2324.8389 Kg183 CM1.87880,435$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Martin Frk31122
2Sammy BlaisBrett Seney26122
3Remi ElieMichael Sgarbossa23122
4Axel Holmstrom20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Thomas HickeyConnor Carrick31122
2Carl Dahlstrom26122
3Kevin GravelLawrence Pilut23122
4Thomas HickeyConnor Carrick20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Martin Frk55122
2Sammy BlaisBrett Seney45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Thomas HickeyConnor Carrick55122
2Carl Dahlstrom45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
2Sammy BlaisBrett Seney45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Thomas HickeyConnor Carrick55122
2Carl Dahlstrom45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
155122Thomas HickeyConnor Carrick55122
245122Carl Dahlstrom45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
2Sammy BlaisBrett Seney45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Thomas HickeyConnor Carrick55122
2Carl Dahlstrom45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Martin FrkThomas HickeyConnor Carrick
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Martin FrkThomas HickeyConnor Carrick
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Taylor Leier, Adam Mascherin, Remi ElieTaylor Leier, Adam MascherinRemi Elie
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kevin Gravel, Lawrence Pilut, Carl DahlstromKevin GravelLawrence Pilut, Carl Dahlstrom
Tirs de Pénalité
, , Sammy Blais, Brett Seney, Martin Frk
Gardien
#1 : , #2 :
Lignes d'Attaque Perso. en Prol.
, , Sammy Blais, Brett Seney, Martin Frk, Remi Elie, Remi Elie, , Taylor Leier, Michael Sgarbossa, Axel Holmstrom
Lignes de Défense Perso. en Prol.
Thomas Hickey, Connor Carrick, Carl Dahlstrom, , Kevin Gravel


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
1Marlies de Toronto1100000010280000000000011000000102821.000101929007610604144480111224000.00%10100.00%0688282.93%5955.56%223170.97%1009072129
2SAN DIEGO Gulls11000000404110000004040000000000021.0004812017610734144480101216000.00%10100.00%0688282.93%5955.56%223170.97%1009072129
Total22000000142121100000040411000000102841.0001427410176101334144480212440000.00%20100.00%0688282.93%5955.56%223170.97%1009072129
_Since Last GM Reset22000000142121100000040411000000102841.0001427410176101334144480212440000.00%20100.00%0688282.93%5955.56%223170.97%1009072129
_Vs Conference22000000142121100000040411000000102841.0001427410176101334144480212440000.00%20100.00%0688282.93%5955.56%223170.97%1009072129

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
24W214274113321244001
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2200000142
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000040
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
1100000102
Derniers 10 Matchs
WLOTWOTL SOWSOL
200000
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%20100.00%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
41444807610
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
688282.93%5955.56%223170.97%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1009072129


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 - 2020-01-153ROCKFORD IceHogs10Marlies de Toronto2WSommaire du Match
2 - 2020-01-1619SAN DIEGO Gulls0ROCKFORD IceHogs4WSommaire du Match
3 - 2020-01-1736TUSCON Roadrunners-ROCKFORD IceHogs-
4 - 2020-01-1848ROCKFORD IceHogs-LAVAL Rockets-
5 - 2020-01-1958ROCKFORD IceHogs-COLORADO Eagles-
7 - 2020-01-2171BROOKLYN Wolfpack-ROCKFORD IceHogs-
9 - 2020-01-2389ROCKFORD IceHogs-BROOKLYN Wolfpack-
11 - 2020-01-2597SAN DIEGO Gulls-ROCKFORD IceHogs-
13 - 2020-01-27109MILWAUKEE Admirals-ROCKFORD IceHogs-
15 - 2020-01-29129ROCKFORD IceHogs-COLORADO Eagles-
18 - 2020-02-01142WILKIES-BARRIE Penguins-ROCKFORD IceHogs-
19 - 2020-02-02152ROCKFORD IceHogs-MONT-LAURIER Sommet-
21 - 2020-02-04160ROCKFORD IceHogs-Manitoba Moose-
22 - 2020-02-05175ROCKFORD IceHogs-TUSCON Roadrunners-
23 - 2020-02-06180UTICA Comets-ROCKFORD IceHogs-
24 - 2020-02-07199CHICAGO Wolves-ROCKFORD IceHogs-
25 - 2020-02-08206ROCKFORD IceHogs-PROVIDENCE Bruins-
26 - 2020-02-09212ROCKFORD IceHogs-BRIDGEPORT Sound Tigers-
28 - 2020-02-11231LAVAL Rockets-ROCKFORD IceHogs-
29 - 2020-02-12247ROCKFORD IceHogs-Marlies de Toronto-
30 - 2020-02-13257MILWAUKEE Admirals-ROCKFORD IceHogs-
32 - 2020-02-15272ROCKFORD IceHogs-SAN DIEGO Gulls-
33 - 2020-02-16281CORNWALL Aces-ROCKFORD IceHogs-
34 - 2020-02-17302Syracruse Crunch-ROCKFORD IceHogs-
35 - 2020-02-18308ROCKFORD IceHogs-HOLLYWOOD Oscar-
37 - 2020-02-20320ROCKFORD IceHogs-Manitoba Moose-
38 - 2020-02-21338VICTORIAVILLE Tigres-ROCKFORD IceHogs-
39 - 2020-02-22355MONT-LAURIER Sommet-ROCKFORD IceHogs-
41 - 2020-02-24370ROCKFORD IceHogs-SAN DIEGO Gulls-
42 - 2020-02-25379ROCKFORD IceHogs-PV Sharapovas-
43 - 2020-02-26386ROCKFORD IceHogs-Syracruse Crunch-
44 - 2020-02-27394BROOKLYN Wolfpack-ROCKFORD IceHogs-
45 - 2020-02-28410COLORADO Eagles-ROCKFORD IceHogs-
46 - 2020-02-29429ROCKFORD IceHogs-PROVIDENCE Bruins-
47 - 2020-03-01439BRIDGEPORT Sound Tigers-ROCKFORD IceHogs-
49 - 2020-03-03456STOCKTON Flames-ROCKFORD IceHogs-
50 - 2020-03-04463ROCKFORD IceHogs-Binghampton Devils-
52 - 2020-03-06479ROCKFORD IceHogs-BELLEVILLE Senators-
53 - 2020-03-07491CHICAGO Wolves-ROCKFORD IceHogs-
55 - 2020-03-09510PV Sharapovas-ROCKFORD IceHogs-
57 - 2020-03-11526ROCKFORD IceHogs-BRIDGEPORT Sound Tigers-
58 - 2020-03-12535ROCKFORD IceHogs-LAVAL Rockets-
59 - 2020-03-13540HOLLYWOOD Oscar-ROCKFORD IceHogs-
61 - 2020-03-15564PROVIDENCE Bruins-ROCKFORD IceHogs-
62 - 2020-03-16578ROCKFORD IceHogs-BROOKLYN Wolfpack-
63 - 2020-03-17590IOWA Wild-ROCKFORD IceHogs-
64 - 2020-03-18604ROCKFORD IceHogs-Marlies de Toronto-
65 - 2020-03-19616SAN DIEGO Gulls-ROCKFORD IceHogs-
67 - 2020-03-21633COLORADO Eagles-ROCKFORD IceHogs-
68 - 2020-03-22650TUSCON Roadrunners-ROCKFORD IceHogs-
69 - 2020-03-23655ROCKFORD IceHogs-STOCKTON Flames-
70 - 2020-03-24675ROCKFORD IceHogs-MONT-LAURIER Sommet-
71 - 2020-03-25679ROCKFORD IceHogs-MILWAUKEE Admirals-
72 - 2020-03-26696BRIDGEPORT Sound Tigers-ROCKFORD IceHogs-
74 - 2020-03-28712Binghampton Devils-ROCKFORD IceHogs-
75 - 2020-03-29728ROCKFORD IceHogs-MILWAUKEE Admirals-
76 - 2020-03-30735LEHIGH VALLEY Phantoms-ROCKFORD IceHogs-
77 - 2020-03-31747ROCKFORD IceHogs-LEHIGH VALLEY Phantoms-
78 - 2020-04-01760ROCKFORD IceHogs-VICTORIAVILLE Tigres-
80 - 2020-04-03775Manitoba Moose-ROCKFORD IceHogs-
81 - 2020-04-04790TUSCON Roadrunners-ROCKFORD IceHogs-
82 - 2020-04-05803ROCKFORD IceHogs-UTICA Comets-
83 - 2020-04-06810ROCKFORD IceHogs-WILKIES-BARRIE Penguins-
84 - 2020-04-07825IOWA Wild-ROCKFORD IceHogs-
85 - 2020-04-08836ROCKFORD IceHogs-CHICAGO Wolves-
87 - 2020-04-10852LAVAL Rockets-ROCKFORD IceHogs-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
88 - 2020-04-11864BELLEVILLE Senators-ROCKFORD IceHogs-
89 - 2020-04-12875ROCKFORD IceHogs-CORNWALL Aces-
90 - 2020-04-13885ROCKFORD IceHogs-BRIDGEPORT Sound Tigers-
91 - 2020-04-14898ROCKFORD IceHogs-UTICA Comets-
92 - 2020-04-15910UTICA Comets-ROCKFORD IceHogs-
94 - 2020-04-17928HERSEY Bears-ROCKFORD IceHogs-
95 - 2020-04-18939ROCKFORD IceHogs-TUSCON Roadrunners-
96 - 2020-04-19949WILKIES-BARRIE Penguins-ROCKFORD IceHogs-
97 - 2020-04-20965ROCKFORD IceHogs-HERSEY Bears-
99 - 2020-04-22980HERSEY Bears-ROCKFORD IceHogs-
101 - 2020-04-24999ROCKFORD IceHogs-HERSEY Bears-
102 - 2020-04-251006PROVIDENCE Bruins-ROCKFORD IceHogs-
103 - 2020-04-261016ROCKFORD IceHogs-CHICAGO Wolves-
104 - 2020-04-271022ROCKFORD IceHogs-IOWA Wild-
106 - 2020-04-291035Marlies de Toronto-ROCKFORD IceHogs-
110 - 2020-05-031063Marlies de Toronto-ROCKFORD IceHogs-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
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
44,594$ 2,025,000$ 2,025,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 36,486$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 109 22,297$ 2,430,373$




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
3322000000142121100000040411000000102841427410176101334144480212440000.00%20100.00%0688282.93%5955.56%223170.97%1009072129
Total Saison Régulière22000000142121100000040411000000102841427410176101334144480212440000.00%20100.00%0688282.93%5955.56%223170.97%1009072129
Séries
32624000001722-531200000910-131200000812-44173148006740147454355424064541062627.69%23673.91%05816435.37%7324529.80%269527.37%13291159437537
Total Séries624000001722-531200000910-131200000812-44173148006740147454355424064541062627.69%23673.91%05816435.37%7324529.80%269527.37%13291159437537