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Rockford IceHogs
GP: 13 | W: 5 | L: 7 | OTL: 1 | P: 11
GF: 36 | GA: 50 | PP%: 12.50% | PK%: 77.78%
DG: Mike Vallerand | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #217 vs Toronto Marlies

Centre de jeu
Milwaukee Admirals
3-9-2, 8pts
1
2 Rockford IceHogs
5-7-1, 11pts
Team Stats
OTL1SéquenceL1
2-3-1Fiche domicile2-5-0
1-6-1Fiche domicile3-2-1
2-6-2Derniers 10 matchs4-6-0
2.71Buts par match 2.77
3.57Buts contre par match 3.85
25.00%Pourcentage en avantage numérique12.50%
70.97%Pourcentage en désavantage numérique77.78%
Toronto Marlies
4-8-1, 9pts
5
3 Rockford IceHogs
5-7-1, 11pts
Team Stats
W2SéquenceL1
3-2-1Fiche domicile2-5-0
1-6-0Fiche domicile3-2-1
3-6-1Derniers 10 matchs4-6-0
2.46Buts par match 2.77
3.31Buts contre par match 3.85
7.69%Pourcentage en avantage numérique12.50%
70.97%Pourcentage en désavantage numérique77.78%
Rockford IceHogs
5-7-1, 11pts
Jour 20
Toronto Marlies
4-8-1, 9pts
Statistiques d’équipe
L1SéquenceW2
2-5-0Fiche domicile3-2-1
3-2-1Fiche visiteur1-6-0
4-6-010 derniers matchs3-6-1
2.77Buts par match 2.46
3.85Buts contre par match 2.46
12.50%Pourcentage en avantage numérique7.69%
77.78%Pourcentage en désavantage numérique70.97%
Rockford IceHogs
5-7-1, 11pts
Jour 22
Iowa Wild
5-6-3, 13pts
Statistiques d’équipe
L1SéquenceOTW1
2-5-0Fiche domicile3-3-1
3-2-1Fiche visiteur2-3-2
4-6-010 derniers matchs5-3-2
2.77Buts par match 2.50
3.85Buts contre par match 2.50
12.50%Pourcentage en avantage numérique27.91%
77.78%Pourcentage en désavantage numérique72.41%
Grand Rapids Griffins
6-6-2, 14pts
Jour 23
Rockford IceHogs
5-7-1, 11pts
Statistiques d’équipe
L1SéquenceL1
5-1-1Fiche domicile2-5-0
1-5-1Fiche visiteur3-2-1
3-5-210 derniers matchs4-6-0
3.21Buts par match 2.77
3.57Buts contre par match 2.77
21.88%Pourcentage en avantage numérique12.50%
65.71%Pourcentage en désavantage numérique77.78%
Meneurs d'équipe
Jamie EngelbertButs
Jamie Engelbert
11
Joey AndersonPasses
Joey Anderson
11
Joey AndersonPoints
Joey Anderson
12
Noah ChadwickPlus/Moins
Noah Chadwick
5
Hampton SlukynskyVictoires
Hampton Slukynsky
5
Hampton SlukynskyPourcentage d’arrêts
Hampton Slukynsky
0.885

Statistiques d’équipe
Buts pour
36
2.77 GFG
Tirs pour
378
29.08 Avg
Pourcentage en avantage numérique
12.5%
3 GF
Début de zone offensive
40.1%
Buts contre
50
3.85 GAA
Tirs contre
428
32.92 Avg
Pourcentage en désavantage numérique
77.8%%
10 GA
Début de la zone défensive
40.1%
Informations de l'équipe

Directeur généralMike Vallerand
DivisionCentral
ConférenceWest Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 250
Espoirs25


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 SPÂgeContratSalaire
1Kevin LombardiX100.00864377629580765954556564626870364065N0281750,000$
2Conor GeekieX100.007238816889797266755861566461648540640221886,667$
3Brett SeneyX100.00713772646280846267635761626973464063N0301750,000$
4Jamie EngelbertX100.00784077598771865862556061596668424063N0261750,000$
5Dominic ToninatoX100.007436856381736164615650565772743640620321850,000$
6Joey AndersonX100.00663595667680626461545063576870544062N0281750,000$
7Cole O'HaraX100.007034836572786064506350555763645840610241860,000$
8Samuel SavoieX100.005737885868797357585655545761636540590221846,667$
9Martin Misiak (R)X100.007039865679728454575553585262647140590211928,333$
10Paul LudwinskiX100.005837865767657256625455525361637540580221900,000$
11Connor MylymokX100.006957505578697954505352565166684240580261850,000$
12Harrison IsraelsX100.00724084548173715352515255536769374058N0271750,000$
13Christian WolaninX100.006940806378777862306854634870724840650311850,000$
14Taige Harding (R)X100.009048555999647756305852624564666240650241930,000$
15Noah Chadwick (R)X100.007941825788668655305854594661634940630212900,556$
16Cavan FitzgeraldX100.00663985597570835630585759476971364062N0301750,000$
17Ryan MastX100.00854285529464675130535059456264494062N0231750,000$
18Dylan AnhornX100.00633973597269685830615255466668424061N0271750,000$
Rayé
1Jake O'Brien (R)X100.00543570706072677164726256636264801640193974,167$
2AJ Spellacy (R)X100.0067456562686865625656585458626411600203932,500$
3Kyler KupkaX100.00613794577269615653555052546668424058N0271750,000$
4Brayden HislopX100.00653795607466645730605056456365464061N0221750,000$
5Jake FurlongX100.006638925575647154305352554661635740590221841,667$
6Abram WiebeX100.005936755078806050305050554362634940570231950,000$
MOYENNE D’ÉQUIPE100.00694080607872725848575457536567503761
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 SPÂgeContratSalaire
1Hampton Slukynsky (R)100.007871687377767877767877616560406802131,075,000$
2Stanislav Berezhnoy (R)100.00677773906665676665676663695340630231975,000$
Rayé
MOYENNE D’ÉQUIPE100.0073747182727173727173726267574066
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Joey AndersonRockford IceHogs (CHI)RW1311112-4007304210242.38%023718.25011820000000050.00%2000001.0100000001
2Jamie EngelbertRockford IceHogs (CHI)C1311112-420432641102726.83%326020.020114200001221250.17%28700010.9200000300
3Samuel SavoieRockford IceHogs (CHI)LW134610-4003152661715.38%024118.54101520000030037.50%1600000.8300000000
4Kevin LombardiRockford IceHogs (CHI)RW1336924043305325365.66%532424.960119230113450038.14%11800000.5500000111
5Conor GeekieRockford IceHogs (CHI)C13448020104232152412.50%227721.381012231011472055.77%31200000.5800000110
6Cavan FitzgeraldRockford IceHogs (CHI)D1307712081912880%2126920.72000419000037000%000000.5200000010
7Taige HardingRockford IceHogs (CHI)D13347-53205413143721.43%1228922.24000521000022100%000000.4800000000
8Christian WolaninRockford IceHogs (CHI)D13066-50042015660%2131023.92011623000041000%000000.3900000001
9Noah ChadwickRockford IceHogs (CHI)D130555120386131130%1626720.60000520000034000%000000.3700000001
10Brett SeneyRockford IceHogs (CHI)LW13134-16014213813202.63%225619.710004230000250050.00%5200000.3100000000
11Martin MisiakRockford IceHogs (CHI)RW132241003164633.33%1513.9900000000001040.00%500001.5400000001
12Dominic ToninatoRockford IceHogs (CHI)C13303-4201126315199.68%318514.2300000000050049.30%21300000.3200000000
13Dylan AnhornRockford IceHogs (CHI)D12033-5401156110%1520216.8500000000020000%000000.3000000000
14Cole O'HaraRockford IceHogs (CHI)RW13033-41001015207220%019014.69000000000120050.00%3400000.3100000000
15Connor MylymokRockford IceHogs (CHI)LW13123-4115258157166.67%217713.6700000000000040.00%1000000.3400010001
16Harrison IsraelsRockford IceHogs (CHI)C132131002682525.00%0513.9900000000000050.00%6200001.1600000000
17Ryan MastRockford IceHogs (CHI)D13112-4100331061516.67%820415.741011300004000%000000.2000000000
18Paul LudwinskiRockford IceHogs (CHI)C13000000000010%040.340000000000000%10000000000000
19Brayden HislopRockford IceHogs (CHI)D1000000110000%01616.770000000002000%00000000000000
Statistiques d’équipe totales ou en moyenne2343665101-349753202943781242579.52%111381916.323475322211253255249.91%113000010.5300010536
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
1Hampton SlukynskyRockford IceHogs (CHI)135710.8853.77733204640001000130020
2Stanislav BerezhnoyRockford IceHogs (CHI)20000.8575.00480042800000013000
Statistiques d’équipe totales ou en moyenne155710.8833.84781205042801001313020


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
AJ SpellacyRockford IceHogs (CHI)RW202006-02-24USAYes195 Lbs6 ft2NoNoDraftNoNo32026-08-21FalseFalsePro & Farm932,500$0$0$No932,500$932,500$-------932,500$932,500$-------NoNo-------Lien / Lien NHL
Abram WiebeRockford IceHogs (CHI)D232003-08-28CANNo187 Lbs6 ft2NoNoTrade2026-05-05NoNo12026-04-29FalseFalsePro & Farm950,000$0$0$No---------------------------Lien / Lien NHL
Brayden HislopRockford IceHogs (CHI)D222003-09-26CANNo181 Lbs6 ft1YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Brett SeneyRockford IceHogs (CHI)LW301996-02-28CANNo156 Lbs5 ft9YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Cavan FitzgeraldRockford IceHogs (CHI)D301996-08-23CANNo190 Lbs6 ft1YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Christian WolaninRockford IceHogs (CHI)D311995-03-17USANo190 Lbs6 ft2NoNoAssign ManuallyNoNo12026-07-04FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Cole O'HaraRockford IceHogs (CHI)RW242002-06-20CANNo189 Lbs6 ft0NoNoTrade2026-05-16NoNo12026-04-29FalseFalsePro & Farm860,000$0$0$No---------------------------Lien / Lien NHL
Connor MylymokRockford IceHogs (CHI)LW262000-03-18CANNo205 Lbs6 ft1NoNoAssign ManuallyNoNo12026-07-01FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Conor GeekieRockford IceHogs (CHI)C222004-05-05CANNo212 Lbs6 ft4NoNoTrade2026-07-15NoNo12026-04-25FalseFalsePro & Farm886,667$0$0$No---------------------------Lien / Lien NHL
Dominic ToninatoRockford IceHogs (CHI)C321994-03-09USANo201 Lbs6 ft2NoNoAssign ManuallyNoNo12026-04-25FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Dylan AnhornRockford IceHogs (CHI)D271999-01-21CANNo190 Lbs6 ft0YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Hampton SlukynskyRockford IceHogs (CHI)G212005-07-02USAYes179 Lbs6 ft1NoNoProspectNoNo32026-05-25FalseFalsePro & Farm1,075,000$0$0$No1,075,000$1,075,000$-------1,075,000$1,075,000$-------NoNo-------Lien / Lien NHL
Harrison IsraelsRockford IceHogs (CHI)C271999-09-01CANNo205 Lbs6 ft2YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Jake FurlongRockford IceHogs (CHI)D222004-03-04CANNo189 Lbs6 ft1NoNoAssign ManuallyNoNo12026-04-05FalseFalsePro & Farm841,667$0$0$No---------------------------Lien / Lien NHL
Jake O'BrienRockford IceHogs (CHI)C192007-06-16CANYes174 Lbs6 ft2NoNoProspectNoNo32026-08-21FalseFalsePro & Farm974,167$0$0$No974,167$974,167$-------974,167$974,167$-------NoNo-------Lien / Lien NHL
Jamie EngelbertRockford IceHogs (CHI)C262000-06-21CANNo205 Lbs6 ft4YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Joey AndersonRockford IceHogs (CHI)RW281998-06-19USANo207 Lbs6 ft0YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Kevin LombardiRockford IceHogs (CHI)RW281998-08-12USANo229 Lbs6 ft5YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Kyler KupkaRockford IceHogs (CHI)LW271999-05-11CANNo190 Lbs6 ft0YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Martin MisiakRockford IceHogs (CHI)RW212004-09-30SVKYes194 Lbs6 ft2NoNoDraftNoNo12026-05-25FalseFalsePro & Farm928,333$0$0$No---------------------------Lien / Lien NHL
Noah ChadwickRockford IceHogs (CHI)D212005-05-10CANYes207 Lbs6 ft4NoNoProspectNoNo22026-05-25FalseFalsePro & Farm900,556$0$0$No900,556$--------900,556$--------No--------Lien / Lien NHL
Paul LudwinskiRockford IceHogs (CHI)C222004-04-23CANNo172 Lbs5 ft11NoNoAssign ManuallyNoNo12026-04-05FalseFalsePro & Farm900,000$0$0$No---------------------------Lien / Lien NHL
Ryan MastRockford IceHogs (CHI)D232003-01-14USANo221 Lbs6 ft5YesNoAssign ManuallyNoNo12026-08-01FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Samuel SavoieRockford IceHogs (CHI)LW222004-03-25CANNo189 Lbs5 ft10NoNoAssign ManuallyNoNo12026-04-05FalseFalsePro & Farm846,667$0$0$No---------------------------Lien / Lien NHL
Stanislav BerezhnoyRockford IceHogs (CHI)G232003-06-07RUSYes218 Lbs6 ft4NoNoDraftNoNo12026-08-01FalseFalsePro & Farm975,000$0$0$No---------------------------Lien / Lien NHL
Taige HardingRockford IceHogs (CHI)D242002-01-03CANYes235 Lbs6 ft6NoNoDraftNoNo12026-05-25FalseFalsePro & Farm930,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.65197 Lbs6 ft21.27848,098$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett SeneyConor GeekieKevin Lombardi40122
2Samuel SavoieJamie EngelbertJoey Anderson30122
3Connor MylymokDominic ToninatoCole O'Hara20122
4Kevin LombardiHarrison IsraelsMartin Misiak10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Taige HardingChristian Wolanin40122
2Noah ChadwickCavan Fitzgerald30122
3Ryan MastDylan Anhorn20122
4Taige HardingChristian Wolanin10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett SeneyConor GeekieKevin Lombardi60122
2Samuel SavoieJamie EngelbertJoey Anderson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Taige HardingChristian Wolanin60122
2Noah ChadwickCavan Fitzgerald40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kevin LombardiConor Geekie60122
2Brett SeneyJamie Engelbert40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Taige HardingChristian Wolanin60122
2Noah ChadwickCavan Fitzgerald40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kevin Lombardi60122Taige HardingChristian Wolanin60122
2Conor Geekie40122Noah ChadwickCavan Fitzgerald40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kevin LombardiConor Geekie60122
2Brett SeneyJamie Engelbert40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Taige HardingChristian Wolanin60122
2Noah ChadwickCavan Fitzgerald40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett SeneyConor GeekieKevin LombardiTaige HardingChristian Wolanin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett SeneyConor GeekieKevin LombardiTaige HardingChristian Wolanin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Paul Ludwinski, Dominic Toninato, Cole O'HaraPaul Ludwinski, Dominic ToninatoCole O'Hara
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Mast, Dylan Anhorn, Noah ChadwickRyan MastDylan Anhorn, Noah Chadwick
Tirs de pénalité
Kevin Lombardi, Conor Geekie, Brett Seney, Jamie Engelbert, Joey Anderson
Gardien
#1 : Hampton Slukynsky, #2 : Stanislav Berezhnoy


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
TotalDomicileVisiteur
# 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 Senators11000000312000000000001100000031221.0003580016101002814311911513458153133.33%4175.00%023045250.88%22645250.00%10822348.43%3002053119817080
2Charlotte Checkers1010000035-21010000035-20000000000000.000369001610100361431191151276919200.00%20100.00%023045250.88%22645250.00%10822348.43%3002053119817080
3Chicago Wolves2110000047-31010000015-41100000032120.500471100161010065143119115171181243500.00%6183.33%023045250.88%22645250.00%10822348.43%3002053119817080
4Grand Rapids Griffins1010000024-2000000000001010000024-200.0002460016101001714311911512781034000%5340.00%023045250.88%22645250.00%10822348.43%3002053119817080
5Hartford Wolf Pack1010000027-51010000027-50000000000000.00024600161010020143119115136131019100.00%5180.00%023045250.88%22645250.00%10822348.43%3002053119817080
6Manitoba Moose22000000954110000004221100000053241.0009152400161010064143119115159151252400.00%5180.00%123045250.88%22645250.00%10822348.43%3002053119817080
7Milwaukee Admirals11000000211110000002110000000000021.000246001610100131431191151228823200.00%40100.00%023045250.88%22645250.00%10822348.43%3002053119817080
8Texas Stars30200100815-71010000016-52010010079-210.167814220016101009514311911511212728886116.67%13284.62%023045250.88%22645250.00%10822348.43%3002053119817080
9Toronto Marlies1010000035-21010000035-20000000000000.000369001610100401431191151311122711100.00%110.00%023045250.88%22645250.00%10822348.43%3002053119817080
Total1357001003650-14725000001631-156320010020191110.423366510100161010037814311911514281119932024312.50%451077.78%123045250.88%22645250.00%10822348.43%3002053119817080
_Since Last GM Reset1357001003650-14725000001631-156320010020191110.423366510100161010037814311911514281119932024312.50%451077.78%123045250.88%22645250.00%10822348.43%3002053119817080
_Vs Conference944001002532-742200000814-6522001001718-190.500254469001610100254143119115130076702401715.88%33778.79%123045250.88%22645250.00%10822348.43%3002053119817080
_Vs Division444001001022-1222200000313-102220010079-291.125101828001610100115143119115115740381077114.29%18383.33%023045250.88%22645250.00%10822348.43%3002053119817080

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1311L136651013784281119932000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
135701003650
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
72500001631
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
63201002019
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
24312.50%451077.78%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
14311911511610100
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
23045250.88%22645250.00%10822348.43%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
3002053119817080


Derniers matchs 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
17Rockford IceHogs4Texas Stars5LXSommaire du match
220Charlotte Checkers5Rockford IceHogs3LSommaire du match
336Rockford IceHogs5Manitoba Moose3WSommaire du match
552Chicago Wolves5Rockford IceHogs1LSommaire du match
669Hartford Wolf Pack7Rockford IceHogs2LSommaire du match
786Rockford IceHogs3Texas Stars4LSommaire du match
897Rockford IceHogs2Grand Rapids Griffins4LSommaire du match
10112Rockford IceHogs3Chicago Wolves2WSommaire du match
11124Manitoba Moose2Rockford IceHogs4WSommaire du match
13152Rockford IceHogs3Belleville Senators1WSommaire du match
14160Texas Stars6Rockford IceHogs1LSommaire du match
16179Milwaukee Admirals1Rockford IceHogs2WSommaire du match
19203Toronto Marlies5Rockford IceHogs3LSommaire du match
20217Rockford IceHogs-Toronto Marlies-
22234Rockford IceHogs-Iowa Wild-
23242Grand Rapids Griffins-Rockford IceHogs-
25264Iowa Wild-Rockford IceHogs-
26269Rockford IceHogs-Milwaukee Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
2 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,205,057$ 2,205,057$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 10 0$ 0$




Rockford IceHogs Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Rockford IceHogs Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Rockford IceHogs Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Rockford IceHogs Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Rockford IceHogs Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA