ROCKFORD IceHogs

GP: 71 | W: 46 | L: 15 | OTL: 10 | P: 102
GF: 342 | GA: 117 | PP%: 14.77% | PK%: 86.97%
DG: Patrice Picher | Morale : 97 | Moyenne d'Équipe : 62
Prochain matchs #928 vs TORONTO Marlies
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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
1Robby Fabbri0XX100.006435766368776663596361596256528189640
2Brett Seney0X100.006141686861679067656260576252514989640
3Sammy Blais0X100.007535706681636666606262566352514989640
4Martin Frk0X100.006435726678666566506361576354516986630
5Remi Elie0X100.006335736580605865596261586254517389620
6Victor Olofsson (R)0X100.005135716969535369506666556750554889610
7Michael Sgarbossa0X100.005089527072505070706666506652513788600
8Taylor Leier0X100.005089637068505070506464536452515789600
9Seth Griffith0XX100.005089667067505070506060506053515589580
10Adam Mascherin (R)0X100.005089667061505070506060536050504489580
11Axel Holmstrom (R)0X100.005189726674505066705858515850504484580
12JC Lipon (R)0X100.005089456771505067505858545850506074570
13Thomas Hickey0X100.006644756171807061305954796368557186660
14Connor Carrick0X100.006244776671766765306458676758525586650
15Martin Marincin0X100.006535786292716262315854696358526290640
16Carl Dahlstrom (R)0X100.006535776493706963305650676152516986640
17Kevin Gravel0X100.006435806089736860305753746254514689640
18Lawrence Pilut (R)0X100.005635746768666667305652636451504389610
Rayé
1Jayden Halbgewachs (R)0X100.005089687060505070505348535850504425560
2Dillon Heatherington0X100.006535576491515264304742535350506929560
MOYENNE D'ÉQUIPE100.00595569667461606647605759625351568161
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 Wedgewood100.00787083797776787776777252655589670
2Jared Coreau100.00726980967171727171716652623689650
Rayé
MOYENNE D'ÉQUIPE100.0075708288747475747474695264468966
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Gulutzan73757473777778CAN473450,000$


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
1Connor CarrickROCKFORD IceHogs (CHI)D711370838553159346134401039.70%74169223.8441115561950113185110.00%000100.9801012435
2Thomas HickeyROCKFORD IceHogs (CHI)D6416637976695123561467111610.96%60152723.8671017641760000165510.00%000001.0300010344
3Robby FabbriROCKFORD IceHogs (CHI)C/LW7134367060520154643088120611.04%11155421.9047114219600091726151.60%18800040.9016000276
4Martin FrkROCKFORD IceHogs (CHI)RW7127386554155141332516116310.76%5112715.88281039195000005153.03%6600001.1501010355
5Sammy BlaisROCKFORD IceHogs (CHI)LW7127386567520160572306316211.74%4123017.333252418110141162057.81%19200011.0615000432
6Martin MarincinROCKFORD IceHogs (CHI)D711153647653511146138391007.97%61142120.025510561830003166200.00%000000.9000100241
7Michael SgarbossaROCKFORD IceHogs (CHI)C7127336064542062932056015613.17%491912.9400000000042068.10%85900011.3100121223
8Carl DahlstromROCKFORD IceHogs (CHI)D711345587256108545115257511.30%56129018.17123301140001111010.00%000000.9000011213
9Seth GriffithROCKFORD IceHogs (CHI)C/RW702727546417528442065513913.11%0107215.3217818177000003051.67%6000011.0100100313
10Jacob de la RoseCHICAGO BlackhawksC/LW261835535923546411534311011.76%567025.7913413570002652067.82%60600021.5801010522
11Remi ElieROCKFORD IceHogs (CHI)LW712921506233577612356215612.34%299814.06101210002824266.67%7800011.0000001412
12Travis BoydCHICAGO BlackhawksC26272350461204233163409416.56%264024.6422410560005676159.94%36200031.5601000651
13Lawrence PilutROCKFORD IceHogs (CHI)D717435069380523668276610.29%44115516.2700058011075110.00%000000.8700000013
14Kevin GravelROCKFORD IceHogs (CHI)D7112374963300734512242569.84%45126717.851453285000183300.00%000000.7700000102
15Brett SeneyROCKFORD IceHogs (CHI)C38143145381403067123509211.38%469418.2832514981124620062.62%72500001.3011000251
16Victor OlofssonROCKFORD IceHogs (CHI)LW712016364720049382005314410.00%36439.0600000000001154.05%3700001.1200000122
17Taylor LeierROCKFORD IceHogs (CHI)LW71101424168014969124214.49%22613.690443340002211154.69%6400011.8300000210
18Axel HolmstromROCKFORD IceHogs (CHI)C4465111660192636112516.67%13127.1000000000000062.81%36300000.7000000001
19Adam MascherinROCKFORD IceHogs (CHI)LW7121340016143614.29%0650.92000314000010047.37%1900000.9200000000
Stats d'équipe Total ou en Moyenne119134062996910386057513608462916838201111.66%3831854415.5735671024111780235361383441163.14%3619001141.05316375464746
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)714615100.9241.55428981611114630220.73923710345
Stats d'équipe Total ou en Moyenne714615100.9241.55428981611114630220.73923710345


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam MascherinROCKFORD IceHogs (CHI)LW211998-06-06Yes91 Kg155 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Axel HolmstromROCKFORD IceHogs (CHI)C231996-06-29Yes90 Kg183 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Brett SeneyROCKFORD IceHogs (CHI)C231996-02-29No71 Kg175 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Carl DahlstromROCKFORD IceHogs (CHI)D241995-01-28Yes105 Kg193 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Connor CarrickROCKFORD IceHogs (CHI)D251994-04-13No87 Kg180 CMNoNoNo2Avec RestrictionPro & Farm1,300,000$0$0$NoLien
Dillon HeatheringtonROCKFORD IceHogs (CHI)D241995-05-09No102 Kg193 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
JC LiponROCKFORD IceHogs (CHI)RW261993-07-10Yes83 Kg183 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Jared CoreauROCKFORD IceHogs (CHI)G271991-11-05No100 Kg198 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Jayden HalbgewachsROCKFORD IceHogs (CHI)LW221997-03-22Yes73 Kg173 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Kevin GravelROCKFORD IceHogs (CHI)D271992-03-06No96 Kg193 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Lawrence PilutROCKFORD IceHogs (CHI)D231995-12-30Yes82 Kg180 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Martin FrkROCKFORD IceHogs (CHI)RW251993-10-05No93 Kg185 CMNoNoNo2Avec RestrictionPro & Farm1,050,000$0$0$NoLien
Martin MarincinROCKFORD IceHogs (CHI)D271992-02-18No97 Kg196 CMNoNoNo1Avec RestrictionPro & Farm800,000$0$0$NoLien
Michael SgarbossaROCKFORD IceHogs (CHI)C271992-07-25No85 Kg183 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Remi ElieROCKFORD IceHogs (CHI)LW241995-04-16No98 Kg185 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Robby FabbriROCKFORD IceHogs (CHI)C/LW231996-01-22No86 Kg178 CMNoNoNo1Avec RestrictionPro & Farm850,000$0$0$NoLien
Sammy BlaisROCKFORD IceHogs (CHI)LW231996-06-17No93 Kg188 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Scott WedgewoodROCKFORD IceHogs (CHI)G271992-08-14No89 Kg188 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien
Seth GriffithROCKFORD IceHogs (CHI)C/RW261993-01-04No86 Kg175 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Taylor LeierROCKFORD IceHogs (CHI)LW251994-02-15No82 Kg180 CMNoNoNo2Avec RestrictionPro & Farm850,000$0$0$NoLien
Thomas HickeyROCKFORD IceHogs (CHI)D301989-02-08No83 Kg183 CMNoNoNo5Sans RestrictionPro & Farm2,500,000$0$0$NoLien
Victor OlofssonROCKFORD IceHogs (CHI)LW241995-07-18Yes82 Kg180 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2224.8289 Kg183 CM2.27875,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Robby FabbriMartin Frk31122
2Sammy BlaisBrett SeneySeth Griffith26122
3Remi ElieMichael Sgarbossa23122
4Victor OlofssonAxel HolmstromRobby Fabbri20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Thomas HickeyConnor Carrick31122
2Carl DahlstromMartin Marincin26122
3Kevin GravelLawrence Pilut23122
4Thomas HickeyConnor Carrick20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Robby FabbriMartin Frk55122
2Sammy BlaisBrett SeneySeth Griffith45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Thomas HickeyConnor Carrick55122
2Carl DahlstromMartin Marincin45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Robby Fabbri55122
2Sammy BlaisBrett Seney45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Thomas HickeyConnor Carrick55122
2Carl DahlstromMartin Marincin45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
155122Thomas HickeyConnor Carrick55122
2Robby Fabbri45122Carl DahlstromMartin Marincin45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Robby Fabbri55122
2Sammy BlaisBrett Seney45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Thomas HickeyConnor Carrick55122
2Carl DahlstromMartin Marincin45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Robby FabbriMartin FrkThomas HickeyConnor Carrick
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Robby FabbriMartin 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
, Robby Fabbri, Sammy Blais, Brett Seney, Martin Frk
Gardien
#1 : Scott Wedgewood, #2 : Jared Coreau
Lignes d'Attaque Perso. en Prol.
, Robby Fabbri, Sammy Blais, Brett Seney, Martin Frk, Remi Elie, Remi Elie, Victor Olofsson, Taylor Leier, Michael Sgarbossa, Axel Holmstrom
Lignes de Défense Perso. en Prol.
Thomas Hickey, Connor Carrick, Carl Dahlstrom, Martin Marincin, 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
1BELLEVILLE Senators22000000927110000005141100000041341.000915240017210167492996964955322961437200.00%5180.00%01222229853.18%756182341.47%572106453.76%228117971254390758429
2BRIDGEPORT Sound Tigers41300000710-3211000005502020000025-320.25071421001721016741069969649553211221348621314.29%15286.67%01222229853.18%756182341.47%572106453.76%228117971254390758429
3BROOKLYN Wolfpack44000000461452200000021120220000002502581.00046881340317210167430499696495532162175311100.00%60100.00%01222229853.18%756182341.47%572106453.76%228117971254390758429
4CHICAGO Wolves44000000274232200000015213220000001221081.0002749760217210167418799696495532672122643133.33%11190.91%01222229853.18%756182341.47%572106453.76%228117971254390758429
5CLEVELAND Monsters44000000364322200000016214220000002021881.0003669105001721016742609969649553216310626233.33%50100.00%01222229853.18%756182341.47%572106453.76%228117971254390758429
6COLORADO Eagles43100000945211000003212200000062460.75091625021721016741209969649553210532868633515.15%25292.00%11222229853.18%756182341.47%572106453.76%228117971254390758429
7CORNWALL Aces22000000231221100000011110110000001201241.00023446701172101674135996964955321631036200.00%50100.00%01222229853.18%756182341.47%572106453.76%228117971254390758429
8HERSEY Bears420001017612000010124-22200000052360.7507142101172101674113996964955329426446710110.00%210100.00%01222229853.18%756182341.47%572106453.76%228117971254390758429
9HOLLYWOOD Oscar22000000240241100000013013110000001101141.0002446700217210167415699696495532124643000.00%30100.00%01222229853.18%756182341.47%572106453.76%228117971254390758429
10IOWA Wild220000001147110000004221100000072541.00011223300172101674729969649553245918487228.57%8187.50%01222229853.18%756182341.47%572106453.76%228117971254390758429
11LAVAL Rockets3030000048-41010000001-12020000047-300.0004610101721016745999696495532812556782514.00%16381.25%01222229853.18%756182341.47%572106453.76%228117971254390758429
12LEHIGH VALLEY Phantoms2200000013211110000004131100000091841.000132336001721016747099696495532651418377114.29%90100.00%01222229853.18%756182341.47%572106453.76%228117971254390758429
13MANITOBA Moose41100101911-22000010157-22110000044040.500915241117210167410199696495532953954831317.69%15473.33%01222229853.18%756182341.47%572106453.76%228117971254390758429
14MILWAUKEE Admirals1010000023-1000000000001010000023-100.000235001721016743299696495532297620200.00%2150.00%01222229853.18%756182341.47%572106453.76%228117971254390758429
15MONT-LAURIER Sommet21000100660110000004311000010023-130.75061218001721016746399696495532751930418225.00%13376.92%01222229853.18%756182341.47%572106453.76%228117971254390758429
16PROVIDENCE Bruins312000001661021100000143111010000023-120.3331631470117210167410899696495532511620607228.57%10190.00%01222229853.18%756182341.47%572106453.76%228117971254390758429
17PV Sharapovas2010010024-21010000012-11000010012-110.250246001721016744999696495532551413268225.00%40100.00%01222229853.18%756182341.47%572106453.76%228117971254390758429
18SAN DIEGO Gulls44000000262242200000013112220000001311281.000264571021721016743009969649553220514923133.33%70100.00%01222229853.18%756182341.47%572106453.76%228117971254390758429
19STOCKTON Flames21100000752110000005231010000023-120.50071421001721016745999696495532578182812216.67%7185.71%01222229853.18%756182341.47%572106453.76%228117971254390758429
20SYRACUSE Crunch22000000743110000003211100000042241.000714210017210167473996964955326813164114428.57%7271.43%01222229853.18%756182341.47%572106453.76%228117971254390758429
21TORONTO Marlies11000000505000000000001100000050521.0005101501172101674369969649553294222700.00%10100.00%01222229853.18%756182341.47%572106453.76%228117971254390758429
22TUSCON Roadrunners53000020171163100002085322000000963101.000172845001721016741429969649553214836638618211.11%20385.00%11222229853.18%756182341.47%572106453.76%228117971254390758429
Total714415006243421172253521600224167581093623900400175591161020.718342638980216172101674292599696495532146538661913602373514.77%2383186.97%21222229853.18%756182341.47%572106453.76%228117971254390758429
24UTICA Comets40200101411-72010000136-32010010015-420.25047110017210167493996964955321253820822214.55%9366.67%01222229853.18%756182341.47%572106453.76%228117971254390758429
25VICTORIAVILLE Tigres2000010135-21000000123-11000010012-120.50036900172101674479969649553260172437500.00%12283.33%01222229853.18%756182341.47%572106453.76%228117971254390758429
26WILKIES-BARRIE Penguins2200000022319110000001028110000001211141.000224365001721016741489969649553215444511100.00%2150.00%01222229853.18%756182341.47%572106453.76%228117971254390758429
_Since Last GM Reset714415006243421172253521600224167581093623900400175591161020.718342638980216172101674292599696495532146538661913602373514.77%2383186.97%21222229853.18%756182341.47%572106453.76%228117971254390758429
_Vs Conference44261200222201701312212500122100326822147001001013863600.6822013705711111721016741824996964955328642323928361512013.25%1471689.12%21222229853.18%756182341.47%572106453.76%228117971254390758429
_Vs Division17128000006131308630000029161396500000321517240.70661111172151721016745599969649553240112521033863914.29%731184.93%11222229853.18%756182341.47%572106453.76%228117971254390758429

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
71102W2342638980292514653866191360216
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7144150624342117
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
35216022416758
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
36239040017559
Derniers 10 Matchs
WLOTWOTL SOWSOL
630100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2373514.77%2383186.97%2
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
99696495532172101674
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
1222229853.18%756182341.47%572106453.76%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
228117971254390758429


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 - 2019-07-3013ROCKFORD IceHogs3COLORADO Eagles2WSommaire du Match
2 - 2019-07-3115ROCKFORD IceHogs1HERSEY Bears0WSommaire du Match
3 - 2019-08-0127TUSCON Roadrunners2ROCKFORD IceHogs3WSommaire du Match
4 - 2019-08-0240ROCKFORD IceHogs6SAN DIEGO Gulls0WSommaire du Match
5 - 2019-08-0353BRIDGEPORT Sound Tigers3ROCKFORD IceHogs1LSommaire du Match
8 - 2019-08-0675PROVIDENCE Bruins0ROCKFORD IceHogs13WSommaire du Match
9 - 2019-08-0791ROCKFORD IceHogs12CLEVELAND Monsters1WSommaire du Match
10 - 2019-08-0893ROCKFORD IceHogs2MANITOBA Moose0WSommaire du Match
11 - 2019-08-09105BROOKLYN Wolfpack0ROCKFORD IceHogs10WSommaire du Match
12 - 2019-08-10120HERSEY Bears2ROCKFORD IceHogs1LXXSommaire du Match
14 - 2019-08-12135ROCKFORD IceHogs7CHICAGO Wolves0WSommaire du Match
15 - 2019-08-13151CLEVELAND Monsters1ROCKFORD IceHogs6WSommaire du Match
17 - 2019-08-15160ROCKFORD IceHogs14BROOKLYN Wolfpack0WSommaire du Match
18 - 2019-08-16172COLORADO Eagles2ROCKFORD IceHogs1LSommaire du Match
20 - 2019-08-18195MANITOBA Moose3ROCKFORD IceHogs2LXSommaire du Match
21 - 2019-08-19200ROCKFORD IceHogs0BRIDGEPORT Sound Tigers2LSommaire du Match
23 - 2019-08-21216ROCKFORD IceHogs12CORNWALL Aces0WSommaire du Match
24 - 2019-08-22227HERSEY Bears2ROCKFORD IceHogs1LXSommaire du Match
25 - 2019-08-23240BRIDGEPORT Sound Tigers2ROCKFORD IceHogs4WSommaire du Match
26 - 2019-08-24257ROCKFORD IceHogs11HOLLYWOOD Oscar0WSommaire du Match
27 - 2019-08-25265ROCKFORD IceHogs9LEHIGH VALLEY Phantoms1WSommaire du Match
28 - 2019-08-26277CLEVELAND Monsters1ROCKFORD IceHogs10WSommaire du Match
29 - 2019-08-27292ROCKFORD IceHogs3COLORADO Eagles0WSommaire du Match
30 - 2019-08-28299ROCKFORD IceHogs4SYRACUSE Crunch2WSommaire du Match
31 - 2019-08-29312CHICAGO Wolves0ROCKFORD IceHogs12WSommaire du Match
32 - 2019-08-30331UTICA Comets3ROCKFORD IceHogs1LSommaire du Match
34 - 2019-09-01344CORNWALL Aces1ROCKFORD IceHogs11WSommaire du Match
35 - 2019-09-02362PV Sharapovas2ROCKFORD IceHogs1LSommaire du Match
37 - 2019-09-04374ROCKFORD IceHogs12WILKIES-BARRIE Penguins1WSommaire du Match
38 - 2019-09-05389ROCKFORD IceHogs2MONT-LAURIER Sommet3LXSommaire du Match
39 - 2019-09-06397UTICA Comets3ROCKFORD IceHogs2LXXSommaire du Match
41 - 2019-09-08413ROCKFORD IceHogs0UTICA Comets3LSommaire du Match
42 - 2019-09-09427CHICAGO Wolves2ROCKFORD IceHogs3WSommaire du Match
43 - 2019-09-10435ROCKFORD IceHogs4BELLEVILLE Senators1WSommaire du Match
45 - 2019-09-12446ROCKFORD IceHogs4HERSEY Bears2WSommaire du Match
46 - 2019-09-13460ROCKFORD IceHogs2MILWAUKEE Admirals3LSommaire du Match
47 - 2019-09-14468SYRACUSE Crunch2ROCKFORD IceHogs3WSommaire du Match
48 - 2019-09-15486ROCKFORD IceHogs11BROOKLYN Wolfpack0WSommaire du Match
49 - 2019-09-16494VICTORIAVILLE Tigres3ROCKFORD IceHogs2LXXSommaire du Match
50 - 2019-09-17510SAN DIEGO Gulls0ROCKFORD IceHogs6WSommaire du Match
51 - 2019-09-18522ROCKFORD IceHogs5TORONTO Marlies0WSommaire du Match
53 - 2019-09-20537WILKIES-BARRIE Penguins2ROCKFORD IceHogs10WSommaire du Match
54 - 2019-09-21549ROCKFORD IceHogs1UTICA Comets2LXSommaire du Match
55 - 2019-09-22559ROCKFORD IceHogs1PV Sharapovas2LXSommaire du Match
57 - 2019-09-24571BROOKLYN Wolfpack1ROCKFORD IceHogs11WSommaire du Match
59 - 2019-09-26588ROCKFORD IceHogs8CLEVELAND Monsters1WSommaire du Match
60 - 2019-09-27596SAN DIEGO Gulls1ROCKFORD IceHogs7WSommaire du Match
62 - 2019-09-29616TUSCON Roadrunners1ROCKFORD IceHogs2WXXSommaire du Match
65 - 2019-10-02630BELLEVILLE Senators1ROCKFORD IceHogs5WSommaire du Match
67 - 2019-10-04654TUSCON Roadrunners2ROCKFORD IceHogs3WXXSommaire du Match
68 - 2019-10-05662ROCKFORD IceHogs7IOWA Wild2WSommaire du Match
70 - 2019-10-07677MANITOBA Moose4ROCKFORD IceHogs3LXXSommaire du Match
72 - 2019-10-09694ROCKFORD IceHogs2MANITOBA Moose4LSommaire du Match
73 - 2019-10-10706PROVIDENCE Bruins3ROCKFORD IceHogs1LSommaire du Match
74 - 2019-10-11715ROCKFORD IceHogs5CHICAGO Wolves2WSommaire du Match
76 - 2019-10-13732LEHIGH VALLEY Phantoms1ROCKFORD IceHogs4WSommaire du Match
77 - 2019-10-14746ROCKFORD IceHogs2STOCKTON Flames3LSommaire du Match
78 - 2019-10-15758STOCKTON Flames2ROCKFORD IceHogs5WSommaire du Match
80 - 2019-10-17779MONT-LAURIER Sommet3ROCKFORD IceHogs4WSommaire du Match
81 - 2019-10-18789ROCKFORD IceHogs2LAVAL Rockets4LR3Sommaire du Match
82 - 2019-10-19800ROCKFORD IceHogs2BRIDGEPORT Sound Tigers3LSommaire du Match
83 - 2019-10-20808IOWA Wild2ROCKFORD IceHogs4WSommaire du Match
84 - 2019-10-21823ROCKFORD IceHogs2LAVAL Rockets3LR3Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
85 - 2019-10-22832ROCKFORD IceHogs1VICTORIAVILLE Tigres2LXSommaire du Match
86 - 2019-10-23842ROCKFORD IceHogs7SAN DIEGO Gulls1WSommaire du Match
87 - 2019-10-24849LAVAL Rockets1ROCKFORD IceHogs0LR3Sommaire du Match
88 - 2019-10-25864ROCKFORD IceHogs5TUSCON Roadrunners3WSommaire du Match
90 - 2019-10-27874COLORADO Eagles0ROCKFORD IceHogs2WSommaire du Match
91 - 2019-10-28885ROCKFORD IceHogs2PROVIDENCE Bruins3LSommaire du Match
92 - 2019-10-29898ROCKFORD IceHogs4TUSCON Roadrunners3WSommaire du Match
93 - 2019-10-30907HOLLYWOOD Oscar0ROCKFORD IceHogs13WSommaire du Match
95 - 2019-11-01928TORONTO Marlies-ROCKFORD IceHogs-
97 - 2019-11-03938ROCKFORD IceHogs-MILWAUKEE Admirals-
99 - 2019-11-05954MILWAUKEE Admirals-ROCKFORD IceHogs-
100 - 2019-11-06959ROCKFORD IceHogs-PROVIDENCE Bruins-
102 - 2019-11-08978LAVAL Rockets-ROCKFORD IceHogs-
105 - 2019-11-11997ROCKFORD IceHogs-HERSEY Bears-
106 - 2019-11-121006MILWAUKEE Admirals-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
4 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,120,439$ 1,925,000$ 1,925,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,729,374$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 14 22,196$ 310,744$




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
3271441500624342117225352160022416758109362390040017559116102342638980216172101674292599696495532146538661913602373514.77%2383186.97%21222229853.18%756182341.47%572106453.76%228117971254390758429
Total Saison Régulière71441500624342117225352160022416758109362390040017559116102342638980216172101674292599696495532146538661913602373514.77%2383186.97%21222229853.18%756182341.47%572106453.76%228117971254390758429