Rockford IceHogs

GP: 82 | W: 49 | L: 32 | OTL: 1 | P: 99
GF: 268 | GA: 215 | PP%: 18.56% | PK%: 84.74%
DG: Joanick Boilard | Morale : 69 | Moyenne d'Équipe : N/A
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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
1Brody SutterX100.0058786667785962587353586655505015800
2Michael BuntingX100.0063677763676966555050586055505017900
3Sergey TolchinskyXX100.0056586863586967545053505750505018000
4Vladislav KamenevX100.0081756076757466727961616558505016400
5Joe ColborneXXX100.0087508073895770715056576450666718100
6Thomas Di Pauli (R)X100.0059677663675259505650505750505017900
7Gustav OlofssonX100.0055507373746877582558606650505015800
8Josh Jacobs (R)X100.0060756362756568502550506150505017900
9Viktor SvedbergX100.0094916863917276502559506550505018100
10Stu BickelX100.0053805364705964504550505850545517900
Rayé
1Darren KramerX100.0059775762775863505050505750505016300
2Keith Aulie (R)X100.0059855567755865502550506550616116700
MOYENNE D'ÉQUIPE100.006571666675636756465354625253531720
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
1Jean-Francois Berube100.005866566766605761696379606213300
2Justin Peters100.005781837860636367616231767113000
3Semyon Varlamov100.007679718175717271747391868616300
Rayé
MOYENNE D'ÉQUIPE100.00647570756765646668666774731420
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Hakstol40406055606053CAN4815,500,000$


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 GP 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
1Kasperi KapanenChicago BlackhawksLW/RW665935949114102461833604616.39%31139921.211921409634600059712346.09%11500081.34140111445
2Viktor SvedbergRockford IceHogs (Chi)D81245074273034538491158193915.19%91173721.451419331113400002299610.00%000000.8500333436
3Michael BuntingRockford IceHogs (Chi)LW8139347335860110106255143115.29%14142517.6010122274276101418211354.85%20600001.0222000484
4Joe ColborneRockford IceHogs (Chi)C/LW/RW623231633212952271672310013.85%15133021.4548124524200072793058.87%148800020.95130001122
5Brody SutterRockford IceHogs (Chi)C682330532163510615321092910.95%19112016.4867134017100051455363.17%118100000.9512010555
6Josh JacobsRockford IceHogs (Chi)D81212950131491519970145154214.48%111161919.9914112596299000132131100.00%100010.6211003237
7Keith AulieRockford IceHogs (Chi)D7311364730255357113113208.40%88160321.9651823872910002357200.00%000000.5900001130
8Stu BickelRockford IceHogs (Chi)D811235472166302217470141617.14%78131116.1933618600000139100.00%000000.7200222321
9Darren KramerRockford IceHogs (Chi)LW69182341711010128921671410.78%14109015.803710221150001402153.45%11600000.7500101124
10Sergey TolchinskyRockford IceHogs (Chi)C/LW82221840-573566168203132510.84%19116314.193146490003724153.34%79300000.6900100422
11Vladislav KamenevRockford IceHogs (Chi)C18131124172405365680019.12%932818.2822415552023702066.74%48400011.4602000331
12Thomas Di PauliRockford IceHogs (Chi)C8171724253606559984167.14%2119214.7315611202000071063.16%15200000.4000000123
13Gustav OlofssonRockford IceHogs (Chi)D30815235200434683009.64%3166722.2469155314100031360133.33%300000.6901000020
14Colton SissonsChicago BlackhawksC/RW191271912805681700017.14%842222.2353820880223822267.68%52600100.9014000221
15Devante Smith-PellyChicago BlackhawksLW/RW6111121060261335002.86%113823.0402211210002330061.43%7000001.7400000211
16Joshua Ho-SangChicago BlackhawksC/LW/RW4415-10029200020.00%19423.71303490003191067.74%9300011.0500000100
Stats d'équipe Total ou en Moyenne902306383689228133213019671448230410622813.28%5321664518.45981282267092711325442284551660.37%5228001130.837197711584442
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
1Semyon VarlamovRockford IceHogs (Chi)52351610.9201.9330821659912450000.6673520344
2Jean-Francois BerubeRockford IceHogs (Chi)104400.8473.6446200281830000.0000841000
Stats d'équipe Total ou en Moyenne62392010.9112.15354416512714280000.66736041344


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 Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Brody SutterRockford IceHogs (Chi)C251991-09-26No203 Lbs6 ft5NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Darren KramerRockford IceHogs (Chi)LW251991-11-18No210 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Gustav OlofssonRockford IceHogs (Chi)D221994-11-30No191 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm925,000$0$0$No
Jean-Francois BerubeRockford IceHogs (Chi)G251991-07-13No177 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Joe ColborneRockford IceHogs (Chi)C/LW/RW261990-01-29No213 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$No
Josh JacobsRockford IceHogs (Chi)D201996-02-14Yes200 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Justin PetersRockford IceHogs (Chi)G301986-08-30No210 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm300,000$0$0$No300,000$
Keith AulieRockford IceHogs (Chi)D271989-06-10Yes222 Lbs6 ft6NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Michael BuntingRockford IceHogs (Chi)LW211995-09-17No187 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm667,000$0$0$No667,000$
Semyon VarlamovRockford IceHogs (Chi)G281988-04-26No209 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm1,000,000$0$0$No1,000,000$1,000,000$
Sergey TolchinskyRockford IceHogs (Chi)C/LW211995-02-03No165 Lbs5 ft8NoNoNo2Contrat d'EntréePro & Farm608,000$0$0$No608,000$
Stu BickelRockford IceHogs (Chi)D301986-10-02No210 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm300,000$0$0$No300,000$
Thomas Di PauliRockford IceHogs (Chi)C221994-04-28Yes188 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Viktor SvedbergRockford IceHogs (Chi)D251991-05-24No238 Lbs6 ft8NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Vladislav KamenevRockford IceHogs (Chi)C201996-08-12No203 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm925,000$0$0$No925,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1524.47202 Lbs6 ft22.33521,667$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2Michael BuntingBrody SutterThomas Di Pauli30122
3Sergey Tolchinsky20122
4Thomas Di Pauli10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Viktor Svedberg40122
2Josh Jacobs30122
3Stu Bickel20122
4Viktor Svedberg10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Michael BuntingBrody SutterThomas Di Pauli40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Viktor Svedberg60122
2Josh Jacobs40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Brody Sutter40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Viktor Svedberg60122
2Josh Jacobs40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Viktor Svedberg60122
240122Josh Jacobs40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Brody Sutter40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Viktor Svedberg60122
2Josh Jacobs40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Viktor Svedberg
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Viktor Svedberg
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Sergey Tolchinsky, Michael Bunting, Sergey TolchinskyMichael Bunting
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Stu Bickel, , Josh JacobsStu Bickel, Josh Jacobs
Tirs de Pénalité
, , , Brody Sutter, Michael Bunting
Gardien
#1 : , #2 :


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
1Abbotsford Heat30201000714-71010000014-320101000610-420.333712190011175751090742716808279522646926415.38%23673.91%01302239154.45%1241254848.70%666120955.09%208314781908576962493
2Adirondack Phantoms2020000014-31010000012-11010000002-200.000123001117575103774271680827501330391417.14%14471.43%01302239154.45%1241254848.70%666120955.09%208314781908576962493
3Albany Devils31200000511-61010000015-42110000046-220.33359140011175751065742716808277920536831412.90%17382.35%01302239154.45%1241254848.70%666120955.09%208314781908576962493
4Binghampton Senateurs22000000835110000006241100000021141.000812200011175751053742716808274517263810220.00%130100.00%01302239154.45%1241254848.70%666120955.09%208314781908576962493
5Bridgeport Sound Tigers20000011550100000103211000000123-130.75057120011175751061742716808274114334721314.29%13284.62%01302239154.45%1241254848.70%666120955.09%208314781908576962493
6Charlotte Checkers330000001349110000005232200000082661.000132437001117575109774271680827712161908112.50%22195.45%01302239154.45%1241254848.70%666120955.09%208314781908576962493
7Chicago Wolves321000001376211000008531100000052340.66713203300111757510100742716808278423468217423.53%21385.71%01302239154.45%1241254848.70%666120955.09%208314781908576962493
8Connecticut Whale220000001037110000007251100000031241.000101828001117575107674271680827431536599333.33%17194.12%01302239154.45%1241254848.70%666120955.09%208314781908576962493
9Grand Rapids Griffins44000000191093300000013671100000064281.0001938570011175751012774271680827112416710320735.00%28775.00%01302239154.45%1241254848.70%666120955.09%208314781908576962493
10Hamilton Bulldogs31200000512-72110000046-21010000016-520.33359140011175751062742716808278029485514321.43%25676.00%01302239154.45%1241254848.70%666120955.09%208314781908576962493
11Hershey Bears21001000624100010002111100000041341.0006915001117575105974271680827349144210220.00%50100.00%01302239154.45%1241254848.70%666120955.09%208314781908576962493
12Houston Aeros31200000121201100000061520200000611-520.33312223400111757510907427168082711630626615213.33%23482.61%01302239154.45%1241254848.70%666120955.09%208314781908576962493
13Lake Erie Monsters330000001931622000000153121100000040461.00019345302111757510139742716808275318417113430.77%18288.89%01302239154.45%1241254848.70%666120955.09%208314781908576962493
14Manchester Monarchs330000001459110000005052200000095461.000142438011117575101267427168082710135278314321.43%110100.00%01302239154.45%1241254848.70%666120955.09%208314781908576962493
15Milwaukee Admirals3030000038-52020000024-21010000014-300.000347001117575105274271680827883148651218.33%23482.61%01302239154.45%1241254848.70%666120955.09%208314781908576962493
16Norfolk Admirals3210000011741010000025-32200000092740.66711182901111757510107742716808277426436921628.57%19194.74%11302239154.45%1241254848.70%666120955.09%208314781908576962493
17Oklahoma City Barons53200000151322110000056-132100000107360.600152944001117575101257427168082712324779719526.32%30680.00%01302239154.45%1241254848.70%666120955.09%208314781908576962493
18Peoria Rivermen523000001220-841300000817-91100000043140.4001222340011175751012174271680827146497810933618.18%37683.78%01302239154.45%1241254848.70%666120955.09%208314781908576962493
19Portland Pirates32000010177101100000071621000010106461.0001726430011175751097742716808279124557111545.45%25388.00%01302239154.45%1241254848.70%666120955.09%208314781908576962493
20Providence Bruins2110000067-11010000026-41100000041320.500612180011175751036742716808275714205316531.25%9188.89%01302239154.45%1241254848.70%666120955.09%208314781908576962493
21Rochester Americans30300000611-51010000023-12020000048-400.00061117001117575105374271680827901547722015.00%20765.00%01302239154.45%1241254848.70%666120955.09%208314781908576962493
22San Antonio Rampage33000000132111100000031222000000101961.000132437011117575109674271680827641258771516.67%220100.00%01302239154.45%1241254848.70%666120955.09%208314781908576962493
23Springfield Falcons2110000047-31010000015-41100000032120.500461000111757510347427168082747726431417.14%13284.62%01302239154.45%1241254848.70%666120955.09%208314781908576962493
24St-John Ice Caps21001000835110000005141000100032141.000815230011175751063742716808275116324210220.00%16287.50%01302239154.45%1241254848.70%666120955.09%208314781908576962493
25Syracuse Crunch2020000024-21010000001-11010000023-100.00023500111757510507427168082735718492414.17%9277.78%01302239154.45%1241254848.70%666120955.09%208314781908576962493
26Texas Stars30300000610-41010000023-12020000047-300.000610160011175751051742716808278517497219315.79%18383.33%01302239154.45%1241254848.70%666120955.09%208314781908576962493
27Toronto Marlies3300000016882200000012571100000043161.00016274300111757510111742716808277817718313646.15%21480.95%01302239154.45%1241254848.70%666120955.09%208314781908576962493
Total824232050212682155341201802010135107284122140301113310825990.604268469737051117575102281742716808272178608132719064859018.56%5578584.74%11302239154.45%1241254848.70%666120955.09%208314781908576962493
29Wilkes-Barre Penguins30201000610-42010100047-31010000023-120.333611170011175751048742716808279633714716212.50%33390.91%01302239154.45%1241254848.70%666120955.09%208314781908576962493
30Worchester Sharks21001000633110000003121000100032141.00061117001117575105574271680827499264520210.00%12283.33%01302239154.45%1241254848.70%666120955.09%208314781908576962493
_Since Last GM Reset824232050212682155341201802010135107284122140301113310825990.604268469737051117575102281742716808272178608132719064859018.56%5578584.74%11302239154.45%1241254848.70%666120955.09%208314781908576962493
_Vs Conference4725210100015913425251411000008666202211100100073685520.55315928644503111757510131474271680827128534981711112444819.67%3315982.18%01302239154.45%1241254848.70%666120955.09%208314781908576962493
_Vs Division2287000008356279560000031229133100000523418160.3648314022302111757510700742716808276171633385161282922.66%1412185.11%11302239154.45%1241254848.70%666120955.09%208314781908576962493

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8299L1268469737228121786081327190605
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8242325021268215
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4120182010135107
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4122143011133108
Derniers 10 Matchs
WLOTWOTL SOWSOL
460000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4859018.56%5578584.74%1
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
74271680827111757510
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
1302239154.45%1241254848.70%666120955.09%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
208314781908576962493


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
2 - 2017-10-027Peoria Rivermen5Rockford IceHogs0LSommaire du Match
5 - 2017-10-0529Rockford IceHogs1Albany Devils4LSommaire du Match
7 - 2017-10-0740Peoria Rivermen2Rockford IceHogs3WSommaire du Match
8 - 2017-10-0848Rockford IceHogs5Oklahoma City Barons3WSommaire du Match
11 - 2017-10-1169Chicago Wolves1Rockford IceHogs7WSommaire du Match
14 - 2017-10-1490Rockford IceHogs1Texas Stars3LSommaire du Match
16 - 2017-10-16103Peoria Rivermen4Rockford IceHogs1LSommaire du Match
17 - 2017-10-17115Rockford IceHogs3Oklahoma City Barons1WSommaire du Match
18 - 2017-10-18125Rockford IceHogs3Norfolk Admirals0WSommaire du Match
20 - 2017-10-20140Grand Rapids Griffins3Rockford IceHogs5WSommaire du Match
23 - 2017-10-23160Milwaukee Admirals1Rockford IceHogs0LSommaire du Match
24 - 2017-10-24173Rockford IceHogs2Rochester Americans4LSommaire du Match
28 - 2017-10-28192Oklahoma City Barons3Rockford IceHogs1LSommaire du Match
30 - 2017-10-30208Rockford IceHogs4Charlotte Checkers1WSommaire du Match
31 - 2017-10-31218Rockford IceHogs5San Antonio Rampage0WSommaire du Match
32 - 2017-11-01230Grand Rapids Griffins2Rockford IceHogs4WSommaire du Match
34 - 2017-11-03250Rockford IceHogs2Wilkes-Barre Penguins3LSommaire du Match
36 - 2017-11-05259Providence Bruins6Rockford IceHogs2LSommaire du Match
37 - 2017-11-06273Rockford IceHogs1Hamilton Bulldogs6LSommaire du Match
39 - 2017-11-08287Rockford IceHogs6Grand Rapids Griffins4WSommaire du Match
40 - 2017-11-09296Lake Erie Monsters3Rockford IceHogs9WSommaire du Match
43 - 2017-11-12319Hamilton Bulldogs3Rockford IceHogs4WSommaire du Match
44 - 2017-11-13335Rockford IceHogs2Syracuse Crunch3LSommaire du Match
45 - 2017-11-14346Rockford IceHogs2Rochester Americans4LSommaire du Match
47 - 2017-11-16355Toronto Marlies3Rockford IceHogs4WSommaire du Match
50 - 2017-11-19382Toronto Marlies2Rockford IceHogs8WSommaire du Match
52 - 2017-11-21388Rockford IceHogs2Oklahoma City Barons3LSommaire du Match
53 - 2017-11-22406Rockford IceHogs5San Antonio Rampage1WSommaire du Match
54 - 2017-11-23416Connecticut Whale2Rockford IceHogs7WSommaire du Match
57 - 2017-11-26433Rockford IceHogs3Connecticut Whale1WSommaire du Match
58 - 2017-11-27444Rochester Americans3Rockford IceHogs2LSommaire du Match
61 - 2017-11-30465Rockford IceHogs3Springfield Falcons2WSommaire du Match
62 - 2017-12-01475St-John Ice Caps1Rockford IceHogs5WSommaire du Match
63 - 2017-12-02492Rockford IceHogs0Adirondack Phantoms2LSommaire du Match
64 - 2017-12-03504Wilkes-Barre Penguins4Rockford IceHogs0LSommaire du Match
69 - 2017-12-08528Texas Stars3Rockford IceHogs2LSommaire du Match
70 - 2017-12-09540Rockford IceHogs3Texas Stars4LSommaire du Match
71 - 2017-12-10549Rockford IceHogs2Bridgeport Sound Tigers3LXXSommaire du Match
74 - 2017-12-13563Chicago Wolves4Rockford IceHogs1LSommaire du Match
76 - 2017-12-15581Rockford IceHogs3Albany Devils2WSommaire du Match
77 - 2017-12-16586Rockford IceHogs2Binghampton Senateurs1WSommaire du Match
79 - 2017-12-18596Wilkes-Barre Penguins3Rockford IceHogs4WXSommaire du Match
84 - 2017-12-23622Houston Aeros1Rockford IceHogs6WSommaire du Match
88 - 2017-12-27645Syracuse Crunch1Rockford IceHogs0LSommaire du Match
89 - 2017-12-28654Rockford IceHogs4Hershey Bears1WSommaire du Match
91 - 2017-12-30670Rockford IceHogs4Providence Bruins1WSommaire du Match
93 - 2018-01-01683San Antonio Rampage1Rockford IceHogs3WSommaire du Match
95 - 2018-01-03705Hershey Bears1Rockford IceHogs2WXSommaire du Match
97 - 2018-01-05719Rockford IceHogs4Charlotte Checkers1WSommaire du Match
100 - 2018-01-08736Charlotte Checkers2Rockford IceHogs5WSommaire du Match
102 - 2018-01-10750Rockford IceHogs4Lake Erie Monsters0WSommaire du Match
104 - 2018-01-12766Worchester Sharks1Rockford IceHogs3WSommaire du Match
105 - 2018-01-13779Rockford IceHogs4Peoria Rivermen3WSommaire du Match
106 - 2018-01-14795Lake Erie Monsters0Rockford IceHogs6WSommaire du Match
108 - 2018-01-16803Rockford IceHogs3Worchester Sharks2WXSommaire du Match
111 - 2018-01-19823Rockford IceHogs6Norfolk Admirals2WSommaire du Match
112 - 2018-01-20835Milwaukee Admirals3Rockford IceHogs2LSommaire du Match
115 - 2018-01-23858Grand Rapids Griffins1Rockford IceHogs4WSommaire du Match
116 - 2018-01-24870Rockford IceHogs4Portland Pirates1WSommaire du Match
118 - 2018-01-26879Rockford IceHogs3St-John Ice Caps2WXSommaire du Match
119 - 2018-01-27893Manchester Monarchs0Rockford IceHogs5WSommaire du Match
121 - 2018-01-29909Rockford IceHogs6Portland Pirates5WXXSommaire du Match
122 - 2018-01-30921Bridgeport Sound Tigers2Rockford IceHogs3WXXSommaire du Match
124 - 2018-02-01933Rockford IceHogs5Chicago Wolves2WSommaire du Match
125 - 2018-02-02951Rockford IceHogs1Abbotsford Heat6LSommaire du Match
127 - 2018-02-04957Peoria Rivermen6Rockford IceHogs4LSommaire du Match
131 - 2018-02-08978Abbotsford Heat4Rockford IceHogs1LSommaire du Match
135 - 2018-02-121007Adirondack Phantoms2Rockford IceHogs1LSommaire du Match
137 - 2018-02-141015Rockford IceHogs5Abbotsford Heat4WXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
140 - 2018-02-171033Rockford IceHogs4Toronto Marlies3WSommaire du Match
141 - 2018-02-181043Hamilton Bulldogs3Rockford IceHogs0LSommaire du Match
142 - 2018-02-191056Rockford IceHogs5Manchester Monarchs3WSommaire du Match
144 - 2018-02-211073Portland Pirates1Rockford IceHogs7WSommaire du Match
146 - 2018-02-231083Rockford IceHogs4Manchester Monarchs2WSommaire du Match
147 - 2018-02-241099Albany Devils5Rockford IceHogs1LSommaire du Match
152 - 2018-03-011127Rockford IceHogs1Milwaukee Admirals4LSommaire du Match
153 - 2018-03-021137Springfield Falcons5Rockford IceHogs1LSommaire du Match
155 - 2018-03-041158Norfolk Admirals5Rockford IceHogs2LSommaire du Match
159 - 2018-03-081179Oklahoma City Barons3Rockford IceHogs4WSommaire du Match
160 - 2018-03-091183Rockford IceHogs4Houston Aeros7LSommaire du Match
166 - 2018-03-151208Binghampton Senateurs2Rockford IceHogs6WSommaire du Match
167 - 2018-03-161215Rockford IceHogs2Houston Aeros4LSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
5,571,111$ 78,250$ 75,250$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 71,050$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 33,007$ 0$




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
1282423205021268215534120180201013510728412214030111331082599268469737051117575102281742716808272178608132719064859018.56%5578584.74%11302239154.45%1241254848.70%666120955.09%208314781908576962493
Total Saison Régulière82423205021268215534120180201013510728412214030111331082599268469737051117575102281742716808272178608132719064859018.56%5578584.74%11302239154.45%1241254848.70%666120955.09%208314781908576962493