Rockford IceHogs

GP: 4 | W: 0 | L: 4 | OTL: 0 | P: 0
GF: 6 | GA: 24 | PP%: 11.76% | PK%: 70.00%
DG: Joanick Boilard | Morale : 65 | 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 SutterX100.0058786667785962587353586655505015500
2Michael BuntingX100.0063677763676966555050586055505017600
3Sergey TolchinskyXX100.0056586863586967545053505750505017700
4Vladislav KamenevX100.0081756076757466727961616558505016500
5Joe ColborneXXX100.0087508073895770715056576450666718100
6Thomas Di Pauli (R)X100.0059677663675259505650505750505017600
7Gustav OlofssonX100.0055507373746877582558606650505015900
8Josh Jacobs (R)X100.0060756362756568502550506150505017600
9Viktor SvedbergX100.0094916863917276502559506550505017700
10Stu BickelX100.0053805364705964504550505850545517600
Rayé
1Darren KramerX100.0059775762775863505050505750505016400
2Keith Aulie (R)X100.0059855567755865502550506550616116800
MOYENNE D'ÉQUIPE100.006571666675636756465354625253531710
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 Berube100.005866566766605761696379606213400
2Justin Peters100.005781837860636367616231767113100
3Semyon Varlamov100.007679718175717271747391868616400
Rayé
MOYENNE D'ÉQUIPE100.00647570756765646668666774731430
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
1Brody SutterRockford IceHogs (Chi)C4202-3807891322.22%14912.4100001000010060.29%6800000.8100000001
2Michael BuntingRockford IceHogs (Chi)LW4022-3202414120.00%05012.6100022000010066.67%300000.7900000000
3Viktor SvedbergRockford IceHogs (Chi)D4112-66022870914.29%119123.00101720000013000.00%000000.4300000000
4Stu BickelRockford IceHogs (Chi)D4022-4201530020.00%56015.060000100000000.00%000000.6600000000
5Sergey TolchinskyRockford IceHogs (Chi)C/LW4101-5204881412.50%1389.6500000000000041.46%4100000.5200000000
6Thomas Di PauliRockford IceHogs (Chi)C4011-320343330.00%25714.3500011000000064.29%1400000.3500000000
7Josh JacobsRockford IceHogs (Chi)D4101-314012711179.09%57418.551019700006000.00%000000.2700000000
Stats d'équipe Total ou en Moyenne285611-273606542527309.62%2542215.0920219330000220054.76%12600000.5200000001
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
Stats d'équipe Total ou en Moyenne0.0000.0000.000


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat 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
1Milwaukee Admirals40400000624-1820200000610-420200000014-1400.0006111700222088303226014331407817211.76%20670.00%05212342.28%3411928.57%276740.30%8256114274421
Total40400000624-1820200000610-420200000014-1400.0006111700222088303226014331407817211.76%20670.00%05212342.28%3411928.57%276740.30%8256114274421
_Since Last GM Reset40400000624-1820200000610-420200000014-1400.0006111700222088303226014331407817211.76%20670.00%05212342.28%3411928.57%276740.30%8256114274421
_Vs Conference40400000624-1820200000610-420200000014-1400.0006111700222088303226014331407817211.76%20670.00%05212342.28%3411928.57%276740.30%8256114274421

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
40OTL1611178814331407800
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4040000624
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2020000610
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2020000014
Derniers 10 Matchs
WLOTWOTL SOWSOL
030100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
17211.76%20670.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
30322602220
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
5212342.28%3411928.57%276740.30%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
8256114274421


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 - 2018-04-086Rockford IceHogs0Milwaukee Admirals7LSommaire du Match
4 - 2018-04-1014Rockford IceHogs0Milwaukee Admirals7LSommaire du Match
6 - 2018-04-1222Milwaukee Admirals3Rockford IceHogs0LSommaire du Match
8 - 2018-04-1430Milwaukee Admirals7Rockford IceHogs6LXSommaire 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
39 0 - 0.00% 0$0$3000100

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

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 13 0$ 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
1240400000624-1820200000610-420200000014-1406111700222088303226014331407817211.76%20670.00%05212342.28%3411928.57%276740.30%8256114274421
Total Séries40400000624-1820200000610-420200000014-1406111700222088303226014331407817211.76%20670.00%05212342.28%3411928.57%276740.30%8256114274421