Rockford IceHogs

GP: 67 | W: 42 | L: 24 | OTL: 1 | P: 85
GF: 221 | GA: 162 | PP%: 17.96% | PK%: 85.03%
DG: Joanick Boilard | Morale : 70 | Moyenne d'Équipe : N/A
Prochain matchs #1007 vs Adirondack Phantoms
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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
2Darren KramerX100.0059775762775863505050505750505018100
3Michael BuntingX100.0063677763676966555050586055505018100
4Sergey TolchinskyXX100.0056586863586967545053505750505018100
5Joe ColborneXXX100.0087508073895770715056576450666718100
6Thomas Di Pauli (R)X100.0059677663675259505650505750505018100
7Gustav OlofssonX100.0055507373746877582558606650505015400
8Keith Aulie (R)X99.0059855567755865502550506550616118100
9Josh Jacobs (R)X100.0060756362756568502550506150505018100
10Viktor SvedbergX100.0094916863917276502559506550505017900
11Stu BickelX100.0053805364705964504550505850545517900
Rayé
MOYENNE D'ÉQUIPE99.916471676575626754435353615153531760
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
1Justin Peters100.005781837860636367616231767112600
Rayé
1Jean-Francois Berube100.005866566766605761696379606212800
2Semyon Varlamov100.007679718175717271747391868616100
MOYENNE D'ÉQUIPE100.00647570756765646668666774731380
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
1Joe ColborneRockford IceHogs (Chi)C/LW/RW623231633212952271672310013.85%15133021.4548124524200072793058.87%148800020.95130001122
2Michael BuntingRockford IceHogs (Chi)LW663228602968095852131015.02%14124218.8310112169262101418110353.85%18200000.9722000373
3Viktor SvedbergRockford IceHogs (Chi)D661643592823935275701142314.04%71142621.6181624802790001263500.00%000000.8300223324
4Keith AulieRockford IceHogs (Chi)D661131423025531611093210.09%77145622.0751419702670002326200.00%000000.5800001130
5Darren KramerRockford IceHogs (Chi)LW661823416915126901640110.98%14106816.193710221150001402153.04%11500000.7700001124
6Brody SutterRockford IceHogs (Chi)C5317234016480891201650010.30%1292817.5266123916100051304364.07%96300000.8612000444
7Josh JacobsRockford IceHogs (Chi)D6613253821105514951923314.13%78131919.99891758236000127421100.00%100000.5811001036
8Stu BickelRockford IceHogs (Chi)D666313711443019062540111.11%62110816.7923513490000139000.00%000000.6700222201
9Sergey TolchinskyRockford IceHogs (Chi)C/LW67191534-4520501551782310.67%18104415.593146490003723152.66%69500000.6500000422
10Vladislav KamenevChicago BlackhawksC18131124172405365680019.12%932818.2822415552023702066.74%48400011.4602000331
11Gustav OlofssonRockford IceHogs (Chi)D30815235200434683009.64%3166722.2469155314100031360133.33%300000.6901000020
12Colton SissonsChicago BlackhawksC/RW191271912805681700017.14%842222.2353820880223822267.68%52600100.9014000221
13Thomas Di PauliRockford IceHogs (Chi)C666121820260565176007.89%2100115.1715610191000071063.41%12300000.3600000112
14Devante Smith-PellyChicago BlackhawksLW/RW6111121060261335002.86%113823.0402211210002330061.43%7000001.7400000211
15Joshua Ho-SangChicago BlackhawksC/LW/RW4415-10029200020.00%19423.71303490003191067.74%9300011.0500000100
Stats d'équipe Total ou en Moyenne721208307515211100585146811261672111312.44%4131357718.8366961625152173325382059371260.78%474300140.76615448383431
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
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1424.79202 Lbs6 ft22.36492,857$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2Michael BuntingBrody SutterThomas Di Pauli30122
3Darren KramerSergey Tolchinsky20122
4Thomas Di Pauli10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Viktor SvedbergKeith Aulie40122
2Josh Jacobs30122
3Stu Bickel20122
4Viktor SvedbergKeith Aulie10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Michael BuntingBrody SutterThomas Di Pauli40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Viktor SvedbergKeith Aulie60122
2Josh Jacobs40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Brody Sutter40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Viktor SvedbergKeith Aulie60122
2Josh Jacobs40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Viktor SvedbergKeith Aulie60122
240122Josh Jacobs40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Brody Sutter40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Viktor SvedbergKeith Aulie60122
2Josh Jacobs40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Viktor SvedbergKeith Aulie
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Viktor SvedbergKeith Aulie
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Darren Kramer, Sergey Tolchinsky, Michael BuntingDarren Kramer, 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 Heat20200000210-81010000014-31010000016-500.0002350089675995160357867423611745491616.25%16381.25%01129198856.79%1038207650.00%55298556.04%174412391511472795411
2Adirondack Phantoms1010000002-2000000000001010000002-200.00000000896759916603578674232271618700.00%7271.43%01129198856.79%1038207650.00%55298556.04%174412391511472795411
3Albany Devils2110000046-2000000000002110000046-220.50047110089675994360357867423469413723417.39%11281.82%01129198856.79%1038207650.00%55298556.04%174412391511472795411
4Binghampton Senateurs11000000211000000000001100000021121.000235008967599176035786742318816186116.67%80100.00%01129198856.79%1038207650.00%55298556.04%174412391511472795411
5Bridgeport Sound Tigers20000011550100000103211000000123-130.750571200896759961603578674234114334721314.29%13284.62%01129198856.79%1038207650.00%55298556.04%174412391511472795411
6Charlotte Checkers330000001349110000005232200000082661.0001324370089675999760357867423712161908112.50%22195.45%01129198856.79%1038207650.00%55298556.04%174412391511472795411
7Chicago Wolves321000001376211000008531100000052340.667132033008967599100603578674238423468217423.53%21385.71%01129198856.79%1038207650.00%55298556.04%174412391511472795411
8Connecticut Whale220000001037110000007251100000031241.0001018280089675997660357867423431536599333.33%17194.12%01129198856.79%1038207650.00%55298556.04%174412391511472795411
9Grand Rapids Griffins44000000191093300000013671100000064281.00019385700896759912760357867423112416710320735.00%28775.00%01129198856.79%1038207650.00%55298556.04%174412391511472795411
10Hamilton Bulldogs2110000059-4110000004311010000016-520.500591400896759945603578674235416363311327.27%18572.22%01129198856.79%1038207650.00%55298556.04%174412391511472795411
11Hershey Bears21001000624100010002111100000041341.00069150089675995960357867423349144210220.00%50100.00%01129198856.79%1038207650.00%55298556.04%174412391511472795411
12Houston Aeros11000000615110000006150000000000021.0006121800896759949603578674232288245120.00%40100.00%01129198856.79%1038207650.00%55298556.04%174412391511472795411
13Lake Erie Monsters330000001931622000000153121100000040461.000193453028967599139603578674235318417113430.77%18288.89%01129198856.79%1038207650.00%55298556.04%174412391511472795411
14Manchester Monarchs11000000505110000005050000000000021.0005914018967599486035786742330510325120.00%50100.00%01129198856.79%1038207650.00%55298556.04%174412391511472795411
15Milwaukee Admirals2020000024-22020000024-20000000000000.0002350089675993260357867423622342397114.29%20385.00%01129198856.79%1038207650.00%55298556.04%174412391511472795411
16Norfolk Admirals22000000927000000000002200000092741.0009152401896759979603578674233318354714428.57%15193.33%11129198856.79%1038207650.00%55298556.04%174412391511472795411
17Oklahoma City Barons42200000111011010000013-232100000107340.50011213200896759999603578674239622699014214.29%26676.92%01129198856.79%1038207650.00%55298556.04%174412391511472795411
18Peoria Rivermen523000001220-841300000817-91100000043140.40012223400896759912160357867423146497810933618.18%37683.78%01129198856.79%1038207650.00%55298556.04%174412391511472795411
19Portland Pirates2100001010640000000000021000010106441.0001014240089675996260357867423501733549333.33%14378.57%01129198856.79%1038207650.00%55298556.04%174412391511472795411
20Providence Bruins2110000067-11010000026-41100000041320.5006121800896759936603578674235714205316531.25%9188.89%01129198856.79%1038207650.00%55298556.04%174412391511472795411
21Rochester Americans30300000611-51010000023-12020000048-400.000611170089675995360357867423901547722015.00%20765.00%01129198856.79%1038207650.00%55298556.04%174412391511472795411
22San Antonio Rampage33000000132111100000031222000000101961.0001324370189675999660357867423641258771516.67%220100.00%01129198856.79%1038207650.00%55298556.04%174412391511472795411
23Springfield Falcons11000000321000000000001100000032121.00035800896759914603578674232131014400.00%50100.00%01129198856.79%1038207650.00%55298556.04%174412391511472795411
24St-John Ice Caps21001000835110000005141000100032141.0008152300896759963603578674235116324210220.00%16287.50%01129198856.79%1038207650.00%55298556.04%174412391511472795411
25Syracuse Crunch2020000024-21010000001-11010000023-100.000235008967599506035786742335718492414.17%9277.78%01129198856.79%1038207650.00%55298556.04%174412391511472795411
26Texas Stars30300000610-41010000023-12020000047-300.0006101600896759951603578674238517497219315.79%18383.33%01129198856.79%1038207650.00%55298556.04%174412391511472795411
27Toronto Marlies2200000012572200000012570000000000041.000122133008967599796035786742337724509444.44%12283.33%01129198856.79%1038207650.00%55298556.04%174412391511472795411
Total6736240402122116259331713020101138132341911020111088127850.6342213916120589675991866603578674231663473108215654017217.96%4616985.03%11129198856.79%1038207650.00%55298556.04%174412391511472795411
29Wilkes-Barre Penguins30201000610-42010100047-31010000023-120.3336111700896759948603578674239633714716212.50%33390.91%01129198856.79%1038207650.00%55298556.04%174412391511472795411
30Worchester Sharks21001000633110000003121000100032141.000611170089675995560357867423499264520210.00%12283.33%01129198856.79%1038207650.00%55298556.04%174412391511472795411
_Since Last GM Reset6736240402122116259331713020101138132341911020111088127850.6342213916120589675991866603578674231663473108215654017217.96%4616985.03%11129198856.79%1038207650.00%55298556.04%174412391511472795411
_Vs Conference4023170000013910633231310000008260221710700000574611460.57513925239103896759911396035786742310372896719612073918.84%2824882.98%01129198856.79%1038207650.00%55298556.04%174412391511472795411
_Vs Division1686000005638186560000018135103000000382513160.500569314902896759949460357867423403111264399951717.89%1091883.49%11129198856.79%1038207650.00%55298556.04%174412391511472795411

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6785L3221391612186616634731082156505
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6736244021221162
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
331713201011381
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
341911201110881
Derniers 10 Matchs
WLOTWOTL SOWSOL
431020
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4017217.96%4616985.03%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
603578674238967599
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
1129198856.79%1038207650.00%55298556.04%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
174412391511472795411


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 Phantoms-Rockford IceHogs-
137 - 2018-02-141015Rockford IceHogs-Abbotsford Heat-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
140 - 2018-02-171033Rockford IceHogs-Toronto Marlies-
141 - 2018-02-181043Hamilton Bulldogs-Rockford IceHogs-
142 - 2018-02-191056Rockford IceHogs-Manchester Monarchs-
144 - 2018-02-211073Portland Pirates-Rockford IceHogs-
146 - 2018-02-231083Rockford IceHogs-Manchester Monarchs-
147 - 2018-02-241099Albany Devils-Rockford IceHogs-
152 - 2018-03-011127Rockford IceHogs-Milwaukee Admirals-
153 - 2018-03-021137Springfield Falcons-Rockford IceHogs-
155 - 2018-03-041158Norfolk Admirals-Rockford IceHogs-
159 - 2018-03-081179Oklahoma City Barons-Rockford IceHogs-
160 - 2018-03-091183Rockford IceHogs-Houston Aeros-
166 - 2018-03-151208Binghampton Senateurs-Rockford IceHogs-
167 - 2018-03-161215Rockford IceHogs-Houston Aeros-



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
8 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
4,317,370$ 69,000$ 66,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 54,011$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 38 32,953$ 1,252,214$




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
126736240402122116259331713020101138132341911020111088127852213916120589675991866603578674231663473108215654017217.96%4616985.03%11129198856.79%1038207650.00%55298556.04%174412391511472795411
Total Saison Régulière6736240402122116259331713020101138132341911020111088127852213916120589675991866603578674231663473108215654017217.96%4616985.03%11129198856.79%1038207650.00%55298556.04%174412391511472795411