ROCKFORD IceHogs

GP: 40 | W: 23 | L: 12 | OTL: 5 | P: 51
GF: 118 | GA: 100 | PP%: 12.99% | PK%: 84.29%
DG: Patrice Picher | Morale : 97 | Moyenne d'Équipe : 66
Prochain matchs #515 vs Binghampton Devils
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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
1Martin Frk0X100.006345856878817567586566646973686794700
2Jacob de la Rose0XX100.008342886186747962776056716269657498690
3Samuel Blais (R)0X100.009048876681697065536164676667655198690
4Seth Griffith0XX100.005246886567878964596361626573675897680
5Michael Sgarbossa0X100.005946876271787563746261646275685497670
6Alexandre Texier (R)0X100.005940856876836267716666596861627498670
7JC Lipon0X100.005667696071878858555757566073675497660
8Taylor Leier0X100.005345886068818362565861596071665797660
9Remi Elie0X100.006443866180726958535759606269657297650
10Brett Seney0X100.005546796465797863686259576367645697650
11Mitchell Stephens (R)0X100.005945896172777363766060626465637799650
12Jayden Halbgewachs0X100.005342876260868861575958536265636197650
13Adam Mascherin0X100.005044885761828455535856525763626499620
14Martin Marincin0X100.006943886293757159306157655175695997680
15Dillon Heatherington0X100.006852865990828057305856605169756897680
16Thomas Hickey0X100.005842866371786762306057685579696697660
17Carl Dahlstrom0X100.005745835993827158306350694669656697660
18Lawrence Pilut0X100.005942876471797762306358615469655497660
19Connor Carrick0X100.005943856371757361306257585471675497650
20Kevin Gravel0X100.006643845987726758305756645375685397650
Rayé
MOYENNE D'ÉQUIPE100.00624585627679766151615962597066629766
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 Wedgewood100.00698583806867696867696875815397660
2Jared Coreau100.00688684926766686766686777835697660
Rayé
MOYENNE D'ÉQUIPE100.0069868486686769686769687682559766
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Gulutzan72727272787874CAN481500,000$


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
1Seth GriffithROCKFORD IceHogs (CHI)C/RW409253415552768131331016.87%888822.213582515200081180152.11%63900000.7736001133
2Jacob de la RoseROCKFORD IceHogs (CHI)C/LW40151934841568661073010214.02%579319.853361312200031173064.09%63500000.8616000422
3Martin FrkROCKFORD IceHogs (CHI)RW31131427380274915540848.39%370522.741561988000005146.94%4900010.7716000421
4Alexandre TexierROCKFORD IceHogs (CHI)C4011152691205870164521146.71%681920.5002224980001284056.53%88100010.6312000033
5Michael SgarbossaROCKFORD IceHogs (CHI)C401482232953578128297910.94%866816.7001113580000560155.04%75400000.6613001023
6Thomas HickeyROCKFORD IceHogs (CHI)D40220221018045316523473.08%5882820.71156391250003111000.00%000000.5300000003
7Remi ElieROCKFORD IceHogs (CHI)LW4010122212235393366165815.15%458614.6711213000061157.50%4000000.7511100210
8Carl DahlstromROCKFORD IceHogs (CHI)D40814228260413344102618.18%3781920.48516251260000112000.00%000000.5400000000
9Taylor LeierROCKFORD IceHogs (CHI)LW4071118210027329233577.61%677219.320442312500011000140.00%6000000.4700000100
10Samuel BlaisROCKFORD IceHogs (CHI)LW22412161341052208024465.00%443219.6513418740004560148.28%2900000.7413002111
11JC LiponROCKFORD IceHogs (CHI)RW404121613281045327418345.41%767516.891011140000001045.24%4200000.4700011000
12Martin MarincinROCKFORD IceHogs (CHI)D4031215-430062397028604.29%5297824.45224331250003103010.00%000000.3100000101
13Connor CarrickROCKFORD IceHogs (CHI)D4021214132604015244158.33%2259914.9800025000013100.00%100000.4700000002
14Lawrence PilutROCKFORD IceHogs (CHI)D4021214121605624229159.09%2863215.8101126000041000.00%000000.4400000011
15Dillon HeatheringtonROCKFORD IceHogs (CHI)D4021012-230034164416324.55%3674418.62235261300001107100.00%000000.3200000110
16Brett SeneyROCKFORD IceHogs (CHI)C27538-521515294663810.87%235113.0100001000002059.18%14700000.4600100000
17Kevin GravelROCKFORD IceHogs (CHI)D40314-11202010153820.00%142716.780000100001100.00%000000.2900000000
18Jayden HalbgewachsROCKFORD IceHogs (CHI)LW40011-4001011238140.00%42696.7400000000010030.77%1300000.0700000000
Stats d'équipe Total ou en Moyenne680114213327933694570165613503829308.44%3041183717.4120365627412880002497619756.14%329000020.55927215151620
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
1Scott WedgewoodROCKFORD IceHogs (CHI)40231250.9042.452372049710070110.74127400442
2Jared CoreauROCKFORD IceHogs (CHI)30001.0000.0073000350000.0000040000
Stats d'équipe Total ou en Moyenne43231250.9072.382446049710420110.741274040442


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)LW221998-06-06No91 Kg155 CMNoNoNo1Pro & Farm750,000$392,201$750,000$392,201$0$0$NoLien
Alexandre TexierROCKFORD IceHogs (CHI)C201999-09-13Yes87 Kg185 CMNoNoNo4Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$750,000$750,000$
Brett SeneyROCKFORD IceHogs (CHI)C241996-02-29No71 Kg175 CMNoNoNo1Pro & Farm750,000$392,201$750,000$392,201$0$0$NoLien
Carl DahlstromROCKFORD IceHogs (CHI)D251995-01-28No105 Kg193 CMNoNoNo1Pro & Farm750,000$392,201$750,000$392,201$0$0$NoLien
Connor CarrickROCKFORD IceHogs (CHI)D261994-04-13No87 Kg180 CMNoNoNo3Pro & Farm1,200,000$627,522$1,200,000$627,522$0$0$No1,200,000$1,200,000$Lien
Dillon HeatheringtonROCKFORD IceHogs (CHI)D251995-05-09No100 Kg193 CMNoNoNo2Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$Lien
JC LiponROCKFORD IceHogs (CHI)RW271993-07-10No83 Kg183 CMNoNoNo1Pro & Farm750,000$392,201$750,000$392,201$0$0$NoLien
Jacob de la RoseROCKFORD IceHogs (CHI)C/LW251995-05-20No98 Kg191 CMNoNoNo3Pro & Farm900,000$470,642$900,000$470,642$0$0$No900,000$900,000$Lien
Jared CoreauROCKFORD IceHogs (CHI)G281991-11-05No97 Kg196 CMNoNoNo1Pro & Farm750,000$392,201$750,000$392,201$0$0$NoLien
Jayden HalbgewachsROCKFORD IceHogs (CHI)LW231997-03-22No73 Kg173 CMNoNoNo1Pro & Farm750,000$392,201$750,000$392,201$0$0$NoLien
Kevin GravelROCKFORD IceHogs (CHI)D281992-03-06No93 Kg193 CMNoNoNo2Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$Lien
Lawrence PilutROCKFORD IceHogs (CHI)D241995-12-30No88 Kg180 CMNoNoNo1Pro & Farm750,000$392,201$750,000$392,201$0$0$NoLien
Martin FrkROCKFORD IceHogs (CHI)RW261993-10-05No93 Kg185 CMNoNoNo2Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$Lien
Martin MarincinROCKFORD IceHogs (CHI)D281992-02-18No99 Kg196 CMNoNoNo2Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$Lien
Michael SgarbossaROCKFORD IceHogs (CHI)C281992-07-25No84 Kg183 CMNoNoNo2Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$Lien
Mitchell StephensROCKFORD IceHogs (CHI)C231997-02-05Yes88 Kg180 CMNoNoNo4Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$750,000$750,000$
Remi ElieROCKFORD IceHogs (CHI)LW251995-04-16No98 Kg185 CMNoNoNo2Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$Lien
Samuel BlaisROCKFORD IceHogs (CHI)LW241996-06-17Yes88 Kg185 CMNoNoNo1Pro & Farm750,000$392,201$750,000$392,201$0$0$No
Scott WedgewoodROCKFORD IceHogs (CHI)G281992-08-14No96 Kg185 CMNoNoNo1Pro & Farm750,000$392,201$750,000$392,201$0$0$NoLien
Seth GriffithROCKFORD IceHogs (CHI)C/RW271993-01-04No86 Kg175 CMNoNoNo2Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$Lien
Taylor LeierROCKFORD IceHogs (CHI)LW261994-02-15No82 Kg180 CMNoNoNo2Pro & Farm750,000$392,201$750,000$392,201$0$0$No750,000$Lien
Thomas HickeyROCKFORD IceHogs (CHI)D311989-02-08No83 Kg183 CMNoNoNo3Pro & Farm2,500,000$1,307,339$2,500,000$1,307,339$0$0$No2,500,000$2,500,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2225.5990 Kg183 CM1.91856,818$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Samuel BlaisJacob de la RoseSeth Griffith31122
2Taylor LeierAlexandre TexierJC Lipon26122
3Remi ElieMichael SgarbossaSeth Griffith23122
4Jayden HalbgewachsAlexandre TexierSeth Griffith20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Martin MarincinDillon Heatherington31122
2Thomas HickeyCarl Dahlstrom26122
3Lawrence PilutConnor Carrick23122
4Kevin GravelMartin Marincin20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Samuel BlaisJacob de la RoseSeth Griffith55122
2Taylor LeierSeth GriffithJC Lipon45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Martin MarincinDillon Heatherington55122
2Thomas HickeyCarl Dahlstrom45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jacob de la RoseSamuel Blais55122
2Seth GriffithTaylor Leier45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Martin MarincinDillon Heatherington55122
2Thomas HickeyCarl Dahlstrom45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jacob de la Rose55122Martin MarincinDillon Heatherington55122
2Seth Griffith45122Thomas HickeyCarl Dahlstrom45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jacob de la RoseSamuel Blais55122
2Seth GriffithTaylor Leier45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Martin MarincinDillon Heatherington55122
2Thomas HickeyCarl Dahlstrom45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Samuel BlaisJacob de la RoseSeth GriffithMartin MarincinDillon Heatherington
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Samuel BlaisJacob de la RoseSeth GriffithMartin MarincinDillon Heatherington
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Alexandre Texier, JC Lipon, Taylor LeierAlexandre Texier, JC LiponAlexandre Texier
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lawrence Pilut, Connor Carrick, Kevin GravelLawrence PilutLawrence Pilut, Connor Carrick
Tirs de Pénalité
Jacob de la Rose, Samuel Blais, Seth Griffith, Michael Sgarbossa, Alexandre Texier
Gardien
#1 : Scott Wedgewood, #2 : Jared Coreau
Lignes d'Attaque Perso. en Prol.
Jacob de la Rose, Samuel Blais, Seth Griffith, Michael Sgarbossa, Alexandre Texier, JC Lipon, JC Lipon, Taylor Leier, Remi Elie, Jayden Halbgewachs, Brett Seney
Lignes de Défense Perso. en Prol.
Martin Marincin, Dillon Heatherington, Thomas Hickey, Carl Dahlstrom, Lawrence Pilut


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
1BROOKLYN Wolfpack11000000101000000000001100000010121.00012301463530123846240245657191820100.00%40100.00%0842145957.71%663120455.07%34258358.66%1072773877279497254
2Binghampton Devils1010000035-21010000035-20000000000000.000369004635301229462402456572678185120.00%4175.00%0842145957.71%663120455.07%34258358.66%1072773877279497254
3CHICAGO Wolves21001000835100010003211100000051441.000815230046353012634624024565767111043000.00%50100.00%0842145957.71%663120455.07%34258358.66%1072773877279497254
4COLORADO Eagles11000000312000000000001100000031221.0003690046353012254624024565716641512216.67%20100.00%0842145957.71%663120455.07%34258358.66%1072773877279497254
5HOLLYWOOD Oscar11000000211000000000001100000021121.000224004635301227462402456573098134125.00%40100.00%0842145957.71%663120455.07%34258358.66%1072773877279497254
6IOWA Wild20000110770100000105411000010023-130.750712190046353012754624024565745121432300.00%7271.43%0842145957.71%663120455.07%34258358.66%1072773877279497254
7LAVAL Rockets30300000515-100000000000030300000515-1000.00059140046353012884624024565711130707224416.67%15473.33%0842145957.71%663120455.07%34258358.66%1072773877279497254
8LEHIGH VALLEY Phantoms2000010146-21000000112-11000010034-120.500481200463530126046240245657471816435240.00%8187.50%0842145957.71%663120455.07%34258358.66%1072773877279497254
9MILWAUKEE Admirals21000010743000000000002100001074341.00071118004635301291462402456573818836800.00%4175.00%0842145957.71%663120455.07%34258358.66%1072773877279497254
10MONT-LAURIER Sommet21100000651110000003121010000034-120.5006111700463530125846240245657501933378112.50%6266.67%0842145957.71%663120455.07%34258358.66%1072773877279497254
11Manitoba Moose20001010422100010001011000001032141.00046100146353012674624024565772241436500.00%70100.00%0842145957.71%663120455.07%34258358.66%1072773877279497254
12Marlies de Toronto1010000023-11010000023-10000000000000.00024600463530122946240245657337819200.00%40100.00%0842145957.71%663120455.07%34258358.66%1072773877279497254
13PROVIDENCE Bruins30200001510-51010000024-22010000136-310.167581310463530126846240245657932730481417.14%14378.57%0842145957.71%663120455.07%34258358.66%1072773877279497254
14PV Sharapovas3110010089-1210001006511010000024-230.50081422004635301287462402456577120185015320.00%9366.67%0842145957.71%663120455.07%34258358.66%1072773877279497254
15Quebec Nordiques11000000321110000003210000000000021.00034700463530124646240245657136216200.00%10100.00%0842145957.71%663120455.07%34258358.66%1072773877279497254
16SAN DIEGO Gulls220000002121922000000212190000000000041.000214061014635301211146240245657219102711100.00%50100.00%0842145957.71%663120455.07%34258358.66%1072773877279497254
17STOCKTON Flames21000010752110000004311000001032141.000712190046353012714624024565761171231900.00%6266.67%0842145957.71%663120455.07%34258358.66%1072773877279497254
18TUSCON Roadrunners32001000936220000007251000100021161.0009182701463530121284624024565769222247600.00%100100.00%0842145957.71%663120455.07%34258358.66%1072773877279497254
Total401612033421181001819860211163451821860123155550510.638118213331144635301213504624024565710433043697011542012.99%1402284.29%0842145957.71%663120455.07%34258358.66%1072773877279497254
20UTICA Comets2020000016-52020000016-50000000000000.0001230046353012554624024565747162336700.00%8187.50%0842145957.71%663120455.07%34258358.66%1072773877279497254
21VICTORIAVILLE Tigres22000000853000000000002200000085341.000815230046353012704624024565749716318337.50%60100.00%0842145957.71%663120455.07%34258358.66%1072773877279497254
22WILKIES-BARRIE Penguins2110000046-21010000014-31100000032120.500481200463530126446240245657651835311516.67%11281.82%0842145957.71%663120455.07%34258358.66%1072773877279497254
_Since Last GM Reset401612033421181001819860211163451821860123155550510.638118213331144635301213504624024565710433043697011542012.99%1402284.29%0842145957.71%663120455.07%34258358.66%1072773877279497254
_Vs Conference208802011624715944010003619171144010112628-2230.5756211517713463530126964624024565751414719336375810.67%71987.32%0842145957.71%663120455.07%34258358.66%1072773877279497254
_Vs Division1153010103722153200100096383300010281612140.6363765102014635301239146240245657287786619336513.89%31390.32%0842145957.71%663120455.07%34258358.66%1072773877279497254

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4051W21182133311350104330436970114
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4016123342118100
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
198621116345
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
218612315555
Derniers 10 Matchs
WLOTWOTL SOWSOL
540100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1542012.99%1402284.29%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
4624024565746353012
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
842145957.71%663120455.07%34258358.66%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1072773877279497254


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 - 2020-08-023LEHIGH VALLEY Phantoms2ROCKFORD IceHogs1LXXSommaire du Match
2 - 2020-08-0322ROCKFORD IceHogs3LAVAL Rockets5LR3Sommaire du Match
4 - 2020-08-0532ROCKFORD IceHogs1PROVIDENCE Bruins2LXXSommaire du Match
5 - 2020-08-0641TUSCON Roadrunners0ROCKFORD IceHogs4WSommaire du Match
6 - 2020-08-0759UTICA Comets3ROCKFORD IceHogs0LSommaire du Match
7 - 2020-08-0873ROCKFORD IceHogs3VICTORIAVILLE Tigres2WSommaire du Match
9 - 2020-08-1085ROCKFORD IceHogs1LAVAL Rockets5LR3Sommaire du Match
10 - 2020-08-1189ROCKFORD IceHogs3WILKIES-BARRIE Penguins2WSommaire du Match
11 - 2020-08-12104Binghampton Devils5ROCKFORD IceHogs3LSommaire du Match
12 - 2020-08-13113ROCKFORD IceHogs5CHICAGO Wolves1WSommaire du Match
13 - 2020-08-14130PV Sharapovas4ROCKFORD IceHogs3LXSommaire du Match
15 - 2020-08-16144Manitoba Moose0ROCKFORD IceHogs1WXSommaire du Match
16 - 2020-08-17157ROCKFORD IceHogs4MILWAUKEE Admirals2WSommaire du Match
18 - 2020-08-19167ROCKFORD IceHogs3STOCKTON Flames2WXXSommaire du Match
19 - 2020-08-20177IOWA Wild4ROCKFORD IceHogs5WXXSommaire du Match
20 - 2020-08-21198SAN DIEGO Gulls0ROCKFORD IceHogs11WSommaire du Match
21 - 2020-08-22208ROCKFORD IceHogs2PROVIDENCE Bruins4LSommaire du Match
23 - 2020-08-24224UTICA Comets3ROCKFORD IceHogs1LSommaire du Match
24 - 2020-08-25238ROCKFORD IceHogs2IOWA Wild3LXSommaire du Match
25 - 2020-08-26250Marlies de Toronto3ROCKFORD IceHogs2LSommaire du Match
26 - 2020-08-27262ROCKFORD IceHogs2TUSCON Roadrunners1WXSommaire du Match
28 - 2020-08-29276ROCKFORD IceHogs3MILWAUKEE Admirals2WXXSommaire du Match
29 - 2020-08-30280TUSCON Roadrunners2ROCKFORD IceHogs3WSommaire du Match
31 - 2020-09-01302ROCKFORD IceHogs3Manitoba Moose2WXXSommaire du Match
32 - 2020-09-02306Quebec Nordiques2ROCKFORD IceHogs3WSommaire du Match
33 - 2020-09-03322ROCKFORD IceHogs1BROOKLYN Wolfpack0WSommaire du Match
34 - 2020-09-04335CHICAGO Wolves2ROCKFORD IceHogs3WXSommaire du Match
36 - 2020-09-06351PROVIDENCE Bruins4ROCKFORD IceHogs2LSommaire du Match
37 - 2020-09-07356ROCKFORD IceHogs5VICTORIAVILLE Tigres3WSommaire du Match
38 - 2020-09-08377ROCKFORD IceHogs2HOLLYWOOD Oscar1WSommaire du Match
40 - 2020-09-10387STOCKTON Flames3ROCKFORD IceHogs4WSommaire du Match
41 - 2020-09-11400ROCKFORD IceHogs1LAVAL Rockets5LR3Sommaire du Match
42 - 2020-09-12409ROCKFORD IceHogs2PV Sharapovas4LSommaire du Match
43 - 2020-09-13417WILKIES-BARRIE Penguins4ROCKFORD IceHogs1LSommaire du Match
44 - 2020-09-14431ROCKFORD IceHogs3MONT-LAURIER Sommet4LSommaire du Match
46 - 2020-09-16440MONT-LAURIER Sommet1ROCKFORD IceHogs3WSommaire du Match
48 - 2020-09-18459PV Sharapovas1ROCKFORD IceHogs3WSommaire du Match
49 - 2020-09-19477ROCKFORD IceHogs3LEHIGH VALLEY Phantoms4LXSommaire du Match
50 - 2020-09-20491SAN DIEGO Gulls2ROCKFORD IceHogs10WSommaire du Match
52 - 2020-09-22505ROCKFORD IceHogs3COLORADO Eagles1WSommaire du Match
53 - 2020-09-23515Binghampton Devils-ROCKFORD IceHogs-
54 - 2020-09-24526ROCKFORD IceHogs-WILKIES-BARRIE Penguins-
56 - 2020-09-26540LEHIGH VALLEY Phantoms-ROCKFORD IceHogs-
57 - 2020-09-27555ROCKFORD IceHogs-UTICA Comets-
58 - 2020-09-28567Manitoba Moose-ROCKFORD IceHogs-
59 - 2020-09-29578ROCKFORD IceHogs-Binghampton Devils-
61 - 2020-10-01593MILWAUKEE Admirals-ROCKFORD IceHogs-
62 - 2020-10-02607ROCKFORD IceHogs-COLORADO Eagles-
63 - 2020-10-03615ROCKFORD IceHogs-HERSEY Bears-
64 - 2020-10-04623VICTORIAVILLE Tigres-ROCKFORD IceHogs-
65 - 2020-10-05637ROCKFORD IceHogs-BRIDGEPORT Sound Tigers-
66 - 2020-10-06650LEHIGH VALLEY Phantoms-ROCKFORD IceHogs-
68 - 2020-10-08666ROCKFORD IceHogs-CHICAGO Wolves-
69 - 2020-10-09676BELLEVILLE Senators-ROCKFORD IceHogs-
70 - 2020-10-10693ROCKFORD IceHogs-BRIDGEPORT Sound Tigers-
71 - 2020-10-11700COLORADO Eagles-ROCKFORD IceHogs-
72 - 2020-10-12713ROCKFORD IceHogs-Marlies de Toronto-
73 - 2020-10-13725IOWA Wild-ROCKFORD IceHogs-
75 - 2020-10-15743ROCKFORD IceHogs-BROOKLYN Wolfpack-
76 - 2020-10-16752BELLEVILLE Senators-ROCKFORD IceHogs-
78 - 2020-10-18769ROCKFORD IceHogs-Syracruse Crunch-
79 - 2020-10-19776ROCKFORD IceHogs-STOCKTON Flames-
80 - 2020-10-20784TUSCON Roadrunners-ROCKFORD IceHogs-
81 - 2020-10-21804LAVAL Rockets-ROCKFORD IceHogs-
83 - 2020-10-23825Syracruse Crunch-ROCKFORD IceHogs-
84 - 2020-10-24832ROCKFORD IceHogs-IOWA Wild-
85 - 2020-10-25843ROCKFORD IceHogs-Marlies de Toronto-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
87 - 2020-10-27857Syracruse Crunch-ROCKFORD IceHogs-
88 - 2020-10-28868ROCKFORD IceHogs-BELLEVILLE Senators-
89 - 2020-10-29881BRIDGEPORT Sound Tigers-ROCKFORD IceHogs-
91 - 2020-10-31903HERSEY Bears-ROCKFORD IceHogs-
92 - 2020-11-01913ROCKFORD IceHogs-PROVIDENCE Bruins-
94 - 2020-11-03929HOLLYWOOD Oscar-ROCKFORD IceHogs-
95 - 2020-11-04937ROCKFORD IceHogs-Quebec Nordiques-
96 - 2020-11-05955HOLLYWOOD Oscar-ROCKFORD IceHogs-
97 - 2020-11-06962ROCKFORD IceHogs-Quebec Nordiques-
99 - 2020-11-08982MONT-LAURIER Sommet-ROCKFORD IceHogs-
102 - 2020-11-11999ROCKFORD IceHogs-SAN DIEGO Gulls-
104 - 2020-11-131012HERSEY Bears-ROCKFORD IceHogs-
107 - 2020-11-161036BROOKLYN Wolfpack-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
21 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
900,435$ 1,885,000$ 1,885,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 895,847$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 57 17,294$ 985,758$




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
33824918045333741502244125702313199751244124110222017575100983746881062125174123707347311761122114942172049268114182625822.14%2773786.64%11715272063.05%1047201951.86%777121963.74%263220671437459900506
3440161203342118100181986021116345182186012315555051118213331144635301213504624024565710433043697011542012.99%1402284.29%0842145957.71%663120455.07%34258358.66%1072773877279497254
Total Saison Régulière12265300787549225024260331304424262120142623217034512301301001494929011393229220158100194823163815241605992763796105021194167818.75%4175985.85%12557417961.19%1710322353.06%1119180262.10%3704284023157381398761
Séries
33734000002219342200000141043120000089-1622386001911202016479580182597616134926.47%34973.53%011524247.52%11221452.34%5010249.02%169114160528944
Total Séries734000002219342200000141043120000089-1622386001911202016479580182597616134926.47%34973.53%011524247.52%11221452.34%5010249.02%169114160528944