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Rockford
GP: 70 | W: 39 | L: 25 | OTL: 6 | P: 84
GF: 198 | GA: 190 | PP%: 17.86% | PK%: 81.69%
DG: Pierre-Luc Simard | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #883 vs Abbotsford

Centre de jeu
Rockford
39-25-6, 84pts
3
2 Hershey
30-27-8, 68pts
Team Stats
L1SéquenceW1
22-10-3Fiche domicile18-15-2
17-15-3Fiche domicile12-12-6
7-2-1Derniers 10 matchs7-3-0
2.83Buts par match 3.18
2.71Buts contre par match 3.14
17.86%Pourcentage en avantage numérique19.33%
81.69%Pourcentage en désavantage numérique82.85%
San Diego
43-20-12, 98pts
2
1 Rockford
39-25-6, 84pts
Team Stats
L1SéquenceL1
18-9-8Fiche domicile22-10-3
25-11-4Fiche domicile17-15-3
6-1-3Derniers 10 matchs7-2-1
3.43Buts par match 2.83
2.77Buts contre par match 2.71
22.70%Pourcentage en avantage numérique17.86%
81.99%Pourcentage en désavantage numérique81.69%
Abbotsford
26-38-7, 59pts
Jour 163
Rockford
39-25-6, 84pts
Statistiques d’équipe
W1SéquenceL1
14-19-2Fiche domicile22-10-3
12-19-5Fiche visiteur17-15-3
5-4-110 derniers matchs7-2-1
2.94Buts par match 2.83
3.69Buts contre par match 2.83
15.36%Pourcentage en avantage numérique17.86%
78.33%Pourcentage en désavantage numérique81.69%
Rockford
39-25-6, 84pts
Jour 165
Laval
32-31-7, 71pts
Statistiques d’équipe
L1SéquenceL1
22-10-3Fiche domicile15-15-5
17-15-3Fiche visiteur17-16-2
7-2-110 derniers matchs6-4-0
2.83Buts par match 3.26
2.71Buts contre par match 3.26
17.86%Pourcentage en avantage numérique18.53%
81.69%Pourcentage en désavantage numérique84.29%
Rockford
39-25-6, 84pts
Jour 166
Manitoba
39-29-4, 82pts
Statistiques d’équipe
L1SéquenceL3
22-10-3Fiche domicile16-17-2
17-15-3Fiche visiteur23-12-2
7-2-110 derniers matchs6-4-0
2.83Buts par match 3.07
2.71Buts contre par match 3.07
17.86%Pourcentage en avantage numérique17.59%
81.69%Pourcentage en désavantage numérique81.48%
Meneurs d'équipe
Boris KatchoukButs
Boris Katchouk
22
Mitchell StephensPasses
Mitchell Stephens
46
Mitchell StephensPoints
Mitchell Stephens
60
Boris KatchoukPlus/Moins
Boris Katchouk
20
Kevin LankinenVictoires
Kevin Lankinen
20
Pourcentage d’arrêts
Josef Korenar
0.928

Statistiques d’équipe
Buts pour
198
2.83 GFG
Tirs pour
2437
34.81 Avg
Pourcentage en avantage numérique
17.9%
50 GF
Début de zone offensive
40.6%
Buts contre
190
2.71 GAA
Tirs contre
2459
35.13 Avg
Pourcentage en désavantage numérique
81.7%%
65 GA
Début de la zone défensive
42.8%
Informations de l'équipe

Directeur généralPierre-Luc Simard
EntraîneurBruce Boudreau
DivisionCentrale
ConférenceConference ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,218
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure18
Limite contact 38 / 50
Espoirs20


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
1Boris Katchouk (R)X100.007636827490809571736974737453495450002631,200,000$
2Josh JoorisXX99.00612496658574856482636863836970255000331500,000$
3Nicolas DeslauriersXX100.00907548669069946670656759757582195000331500,000$
4Jean Gabriel PageauX100.00642997806176776562627062746050215000311500,000$
5Rourke ChartierXXX100.00673096718374856787656769766059455000282800,000$
6Michael Dal ColleXX100.00713387788979917276667259815551495000281800,000$
7Mitchell StephensX100.00692991778476867591757365785552495000271950,000$
8Jordan SzwarzXX100.00693081608066787071676961737060205000331500,000$
9Juho LammikkoX100.00613396818780877082706860865648435000281850,000$
10Martin Pospisil (R)XXX100.00964575847878996977746864704645685000242500,000$
11Jakub Lauko (R)XXX100.00856575788372836670676969704645615000242700,000$
12Jani HakanpaaX100.008533626795768750504753907470702550003221,000,000$
13Noah JuulsenX100.00763279788180614950504886765349475000272950,000$
14Derrick PouliotX100.00723070797980845050494684736266305000301675,000$
15Christian DjoosX100.00613582917088876056575786766049445000294975,000$
16Jake MiddletonX100.007844597291829647704849927560544050002811,300,000$
17Braden Schneider (R)X100.00873095808781985850565692703938795000223900,000$
Rayé
1Daniel BrickleyX100.00693575769577874653454584735349375000291775,000$
MOYENNE D’ÉQUIPE99.9474378075847787626861627375585542500
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
1Kevin Lankinen100.00679089767987888688838161615950002941,200,000$
2Josef Korenar (R)100.0069807875778586878881744848645000261775,000$
Rayé
MOYENNE D’ÉQUIPE100.006885847678868787888278555562500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Boudreau84808786928652CAN7014,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Mitchell StephensRockford (CHI)C671446601714036115184581547.61%7129119.27216184222910181884255.82%186500000.9337000236
2Boris KatchoukRockford (CHI)LW68223153204958558262641738.40%12133619.65411155320900021355257.48%12700100.7915001443
3Christian DjoosRockford (CHI)D70163147-32402597180521158.89%93152521.8089171002310003205120%000000.6200000313
4Martin PospisilRockford (CHI)C/LW/RW70122840810010191103200551326.00%4132818.97311144421701171672154.99%75100000.6004011033
5Braden SchneiderRockford (CHI)D66831394500718514443865.56%112156423.707916852130222255200%000000.5000000132
6Jakub LaukoRockford (CHI)C/LW/RW701421358691510855159381058.81%13108315.48336175920251873148.50%36700100.6515012125
7Michael Dal ColleRockford (CHI)LW/RW7017163381003151213641367.98%2111415.92561164223011041143.37%8300000.5913000024
8Jani HakanpaaRockford (CHI)D681419331698012748122379311.48%100142620.986612602160110192320%000000.4602000320
9Rourke ChartierRockford (CHI)C/LW/RW706232911203158140591184.29%8110015.7131215382230000891157.33%30700000.5300000021
10Juho LammikkoRockford (CHI)C70111728-4406114165541196.67%499914.2805515790000133252.75%129300000.5613000041
11Noah JuulsenRockford (CHI)D70713209300595865184510.77%99120717.2541522810111183100%000000.3300000011
12Derrick PouliotRockford (CHI)D706142013720724960193710.00%7197213.89000311000043100%000000.4100000003
13Josh JoorisRockford (CHI)C/RW7081018-6140236079264810.13%1291213.04000000001791054.72%62500000.3922000010
14Jake MiddletonRockford (CHI)D70971648951495510525618.57%114130518.65112451560001260210%000000.2500001221
15Jean Gabriel PageauRockford (CHI)C706511-210014537230538.33%115868.37000081016850042.14%59800000.3800000110
16Jordan SzwarzRockford (CHI)C/RW708311-3120244010228707.84%784512.07000220002671149.84%31300000.2600000113
17Nicolas DeslauriersRockford (CHI)LW/RW70369-415630157297811763.85%578111.1700001000001052.46%6100000.2300204000
18Daniel BrickleyRockford (CHI)D31044217591011570%292237.2000011011018000%000000.3600001000
Statistiques d’équipe totales ou en moyenne1210181325506888307012181138234168616287.73%7031960516.20469013659121664711382179321652.91%639000200.529312210183236
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
1Kevin LankinenRockford (CHI)36201240.9212.722183029912570110.706173631642
2Josef KorenarRockford (CHI)34191320.9282.522026418511770210.938163438842
Statistiques d’équipe totales ou en moyenne70392560.9242.6242104318424340323370691484


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 Salaire restantPlafond 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
Boris KatchoukRockford (CHI)LW261998-06-18CANYes206 Lbs6 ft2NoNoN/ANoNo32025-09-11FalseFalsePro & Farm1,200,000$203,077$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien NHL
Braden SchneiderRockford (CHI)D222001-09-20CANYes208 Lbs6 ft3NoNoProspectNoNo32025-11-05FalseFalsePro & Farm900,000$152,308$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Christian DjoosRockford (CHI)D291994-08-06SWENo172 Lbs6 ft0NoNoN/ANoNo42025-09-11FalseFalsePro & Farm975,000$165,000$0$0$No975,000$975,000$975,000$------500,000$500,000$500,000$------NoNoNo------Lien
Daniel BrickleyRockford (CHI)D291995-03-30USANo206 Lbs6 ft3NoNoN/ANoNo12025-09-11FalseFalsePro & Farm775,000$131,154$0$0$No---------------------------Lien
Derrick PouliotRockford (CHI)D301994-01-16CANNo196 Lbs6 ft0NoNoN/ANoNo12024-09-15FalseFalsePro & Farm675,000$114,231$0$0$No---------------------------Lien
Jake MiddletonRockford (CHI)D281996-01-02CANNo219 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,300,000$220,000$0$0$No---------------------------Lien NHL
Jakub LaukoRockford (CHI)C/LW/RW242000-03-28CZEYes196 Lbs6 ft0NoNoProspectNoNo22025-10-16FalseFalsePro & Farm700,000$118,462$0$0$No700,000$--------700,000$--------No--------
Jani HakanpaaRockford (CHI)D321992-03-31FINNo220 Lbs6 ft5NoNoFree AgentNoNo22024-09-24FalseFalsePro & Farm1,000,000$169,231$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Jean Gabriel PageauRockford (CHI)C311992-11-11CANNo172 Lbs5 ft10NoNoFree AgentNoNo12025-10-26FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------Lien
Jordan SzwarzRockford (CHI)C/RW331991-05-14CANNo203 Lbs5 ft11NoNoFree AgentNoNo12025-10-26FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------Lien
Josef KorenarRockford (CHI)G261998-01-31CZEYes187 Lbs6 ft1NoNoN/ANoNo12024-09-15FalseFalsePro & Farm775,000$131,154$0$0$No---------------------------Lien
Josh JoorisRockford (CHI)C/RW331990-07-14CANNo190 Lbs6 ft1NoNoFree AgentNoNo12025-10-26FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------Lien
Juho LammikkoRockford (CHI)C281996-01-29FINNo195 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm850,000$143,846$0$0$No---------------------------Lien
Kevin LankinenRockford (CHI)G291995-04-28FINNo188 Lbs6 ft2NoNoFree AgentNoNo42025-09-11FalseFalsePro & Farm1,200,000$203,077$0$0$No1,200,000$1,200,000$1,200,000$------1,200,000$1,200,000$1,200,000$------NoNoNo------Lien / Lien NHL
Martin PospisilRockford (CHI)C/LW/RW241999-11-19NAYes173 Lbs6 ft2NoNoProspectNoNo22025-10-16FalseFalsePro & Farm500,000$84,615$0$0$No500,000$--------500,000$--------No--------
Michael Dal ColleRockford (CHI)LW/RW281996-06-20CANNo204 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm800,000$135,385$0$0$No---------------------------Lien
Mitchell StephensRockford (CHI)C271997-02-05CANNo190 Lbs5 ft11NoNoN/ANoNo12024-09-15FalseFalsePro & Farm950,000$160,769$0$0$No---------------------------Lien / Lien NHL
Nicolas DeslauriersRockford (CHI)LW/RW331991-02-22CANNo219 Lbs6 ft3NoNoFree AgentNoNo12025-10-26FalseFalsePro & Farm500,000$84,615$0$0$No---------------------------Lien / Lien NHL
Noah JuulsenRockford (CHI)D271997-04-02CANNo201 Lbs6 ft2NoNoN/ANoNo22024-09-15FalseFalsePro & Farm950,000$160,769$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Rourke ChartierRockford (CHI)C/LW/RW281996-04-03CANNo202 Lbs6 ft0NoNoN/ANoNo22025-09-11FalseFalsePro & Farm800,000$135,385$0$0$No800,000$--------800,000$--------No--------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2028.35197 Lbs6 ft11.75817,500$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Boris KatchoukMitchell StephensMartin Pospisil27023
2Jakub LaukoJuho LammikkoMichael Dal Colle26023
3Rourke ChartierJean Gabriel PageauJosh Jooris25122
4Nicolas DeslauriersJordan SzwarzJosh Jooris22122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Braden SchneiderJani Hakanpaa35023
2Jake MiddletonChristian Djoos35023
3Derrick PouliotNoah Juulsen30023
4Braden Schneider0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Boris KatchoukMitchell StephensMartin Pospisil50005
2Michael Dal ColleJuho LammikkoRourke Chartier50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Braden SchneiderJani Hakanpaa50014
2Noah JuulsenChristian Djoos50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rourke ChartierJakub Lauko50140
2Josh JoorisJean Gabriel Pageau50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Braden SchneiderJani Hakanpaa50050
2Jake MiddletonNoah Juulsen50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rourke Chartier50122Braden SchneiderJani Hakanpaa50122
2Josh Jooris50122Jake MiddletonNoah Juulsen50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mitchell StephensBoris Katchouk50023
2Juho LammikkoMartin Pospisil50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Braden SchneiderJani Hakanpaa50122
2Jake MiddletonChristian Djoos50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Boris KatchoukMitchell StephensMartin PospisilBraden SchneiderChristian Djoos
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rourke ChartierMitchell StephensJakub LaukoBraden SchneiderJani Hakanpaa
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jean Gabriel Pageau, Juho Lammikko, Jordan SzwarzJean Gabriel Pageau, Juho LammikkoJordan Szwarz
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Derrick Pouliot, Noah Juulsen, Derrick PouliotNoah Juulsen,
Tirs de pénalité
Mitchell Stephens, , Jakub Lauko, Martin Pospisil, Michael Dal Colle
Gardien
#1 : Josef Korenar, #2 : Kevin Lankinen
Lignes d’attaque personnalisées en prolongation
Mitchell Stephens, Boris Katchouk, Jakub Lauko, Martin Pospisil, Michael Dal Colle, Rourke Chartier, Juho Lammikko, Jordan Szwarz, Nicolas Deslauriers, Josh Jooris
Lignes de défense personnalisées en prolongation
Braden Schneider, Jani Hakanpaa, Jake Middleton, Christian Djoos, Derrick Pouliot


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
1Abbotsford3120000046-2000000000003120000046-220.3334711107453621387739846815691282936486116.67%17288.24%11407266452.82%1476280652.60%592109254.21%167011121644549935468
2Bakersfield440000001358220000005142200000084481.00013203301745362131477398468156913332446319315.79%210100.00%11407266452.82%1476280652.60%592109254.21%167011121644549935468
3Bridgeport1010000004-4000000000001010000004-400.00000000745362132773984681569337820400.00%4250.00%01407266452.82%1476280652.60%592109254.21%167011121644549935468
4Charlotte2020000038-51010000025-31010000013-200.00036900745362137373984681569651518271317.69%9366.67%01407266452.82%1476280652.60%592109254.21%167011121644549935468
5Cleveland211000001055110000008171010000024-220.50010152500745362136773984681569641122428112.50%6266.67%01407266452.82%1476280652.60%592109254.21%167011121644549935468
6Coachella Valley20000020752100000103211000001043141.0007916007453621364739846815697224444110220.00%15380.00%01407266452.82%1476280652.60%592109254.21%167011121644549935468
7Eagles522000101517-22100001085331200000712-560.60015233800745362131597398468156918165418122418.18%16287.50%01407266452.82%1476280652.60%592109254.21%167011121644549935468
8Grand Rapids30300000614-81010000034-120200000310-700.00061218007453621398739846815691143635611317.69%15286.67%11407266452.82%1476280652.60%592109254.21%167011121644549935468
9Hartford200010101082100000104311000100065141.00010182800745362136073984681569942130356466.67%14378.57%01407266452.82%1476280652.60%592109254.21%167011121644549935468
10Hershey22000000633110000003121100000032141.00061117007453621370739846815694814183011218.18%9277.78%01407266452.82%1476280652.60%592109254.21%167011121644549935468
11Iowa32100000835211000006241100000021140.6678142201745362131407398468156910624295116425.00%12191.67%01407266452.82%1476280652.60%592109254.21%167011121644549935468
12Laval11000000211110000002110000000000021.0002460074536213507398468156924131314500.00%40100.00%01407266452.82%1476280652.60%592109254.21%167011121644549935468
13Lehigh Valley2110000035-2110000003121010000004-420.5003580074536213647398468156970192240600.00%10190.00%01407266452.82%1476280652.60%592109254.21%167011121644549935468
14Manitoba411001011113-22000010157-22110000066040.50011193000745362131267398468156914257566815426.67%26676.92%01407266452.82%1476280652.60%592109254.21%167011121644549935468
15Ontario41200100911-22020000046-22100010055030.3759162500745362131397398468156916546537015213.33%23769.57%01407266452.82%1476280652.60%592109254.21%167011121644549935468
16Providence20001100660100010004311000010023-130.7506101600745362136873984681569632924449111.11%12375.00%01407266452.82%1476280652.60%592109254.21%167011121644549935468
17Rochester21001000743100010003211100000042241.0007111800745362139573984681569611930287228.57%13284.62%01407266452.82%1476280652.60%592109254.21%167011121644549935468
18San Diego62201010151414120100078-12100001086280.667152540017453621318673984681569208566512323521.74%28678.57%01407266452.82%1476280652.60%592109254.21%167011121644549935468
19San Jose31200000913-41010000024-22110000079-220.3339182710745362131277398468156910343366713323.08%18477.78%01407266452.82%1476280652.60%592109254.21%167011121644549935468
20Springfield522000011416-23200000112932020000027-550.5001425390074536213165739846815691554689702428.33%23482.61%01407266452.82%1476280652.60%592109254.21%167011121644549935468
21Syracuse4310000015781100000051432100000106460.7501523380074536213152739846815691603451759333.33%22290.91%11407266452.82%1476280652.60%592109254.21%167011121644549935468
22Texas42200000713-642200000713-60000000000040.5007132000745362131377398468156913134368013215.38%16568.75%01407266452.82%1476280652.60%592109254.21%167011121644549935468
23Utica 220000001156110000005231100000063341.00011203100745362138373984681569551322279222.22%11281.82%01407266452.82%1476280652.60%592109254.21%167011121644549935468
24Wilkes-Barre/Scranton21000100743110000005141000010023-130.7507121900745362135373984681569842122464125.00%11190.91%11407266452.82%1476280652.60%592109254.21%167011121644549935468
Total7030250445219819083516100313210682243514150132092108-16840.6001983365342374536213243773984681569245970884412512805017.86%3556581.69%51407266452.82%1476280652.60%592109254.21%167011121644549935468
_Since Last GM Reset7030250445219819083516100313210682243514150132092108-16840.6001983365342374536213243773984681569245970884412512805017.86%3556581.69%51407266452.82%1476280652.60%592109254.21%167011121644549935468
_Vs Conference43181601242112116-4239801122595722098001205359-6500.581112189301237453621314777398468156915244565297621763218.18%2154081.40%21407266452.82%1476280652.60%592109254.21%167011121644549935468
_Vs Division2198001125562-713630011238362835000001726-9230.5485594149017453621372773984681569715226251350901617.78%931880.65%01407266452.82%1476280652.60%592109254.21%167011121644549935468

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7084L119833653424372459708844125123
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7030254452198190
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
351610313210682
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
351415132092108
Derniers 10 matchs
WLOTWOTL SOWSOL
720100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2805017.86%3556581.69%5
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
7398468156974536213
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
1407266452.82%1476280652.60%592109254.21%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
167011121644549935468


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
11Rockford1Manitoba3LSommaire du match
314Rockford1Abbotsford2LSommaire du match
523Rockford4Eagles1WSommaire du match
625Texas4Rockford0LSommaire du match
1247Texas5Rockford1LSommaire du match
1459Rockford3Syracuse4LSommaire du match
1671San Diego2Rockford3WXSommaire du match
2089Springfield3Rockford2LXXSommaire du match
22100Rockford4Syracuse1WSommaire du match
25114Rockford2Eagles4LSommaire du match
26122San Diego4Rockford2LSommaire du match
30138Texas2Rockford3WSommaire du match
32152Rockford0Grand Rapids4LSommaire du match
35165Ontario4Rockford3LSommaire du match
37178Rockford1Springfield3LSommaire du match
38188Rockford3Ontario4LXSommaire du match
40197Iowa2Rockford1LSommaire du match
42211Rockford1Eagles7LSommaire du match
44221Hershey1Rockford3WSommaire du match
47235Rockford0Lehigh Valley4LSommaire du match
49243Grand Rapids4Rockford3LSommaire du match
52258Rockford3Syracuse1WSommaire du match
54267Ontario2Rockford1LSommaire du match
56280Rockford2Wilkes-Barre/Scranton3LXSommaire du match
58290Rockford1Springfield4LSommaire du match
60297Rockford0Bridgeport4LSommaire du match
61300Wilkes-Barre/Scranton1Rockford5WSommaire du match
64322Rockford6Hartford5WXSommaire du match
65325Utica 2Rockford5WSommaire du match
69346Rochester2Rockford3WXSommaire du match
71356Rockford2Cleveland4LSommaire du match
74371San Diego0Rockford1WSommaire du match
77391Coachella Valley2Rockford3WXXSommaire du match
79403Rockford4Rochester2WSommaire du match
81415Rockford6San Jose4WSommaire du match
82423Springfield3Rockford4WSommaire du match
85442Cleveland1Rockford8WSommaire du match
87454Rockford6Utica 3WSommaire du match
89465Charlotte5Rockford2LSommaire du match
91477Rockford2Abbotsford1WSommaire du match
94493Bakersfield1Rockford3WSommaire du match
99515Syracuse1Rockford5WSommaire du match
103538Texas2Rockford3WSommaire du match
105549Rockford4Coachella Valley3WXXSommaire du match
106557Rockford2Providence3LXSommaire du match
108565Providence3Rockford4WXSommaire du match
110581Rockford1Abbotsford3LSommaire du match
112593Lehigh Valley1Rockford3WSommaire du match
115612Iowa0Rockford5WSommaire du match
117621Rockford5Manitoba3WSommaire du match
119634Bakersfield0Rockford2WSommaire du match
123657Laval1Rockford2WSommaire du match
125666Rockford3Grand Rapids6LSommaire du match
127675Rockford5San Diego4WSommaire du match
128686Hartford3Rockford4WXXSommaire du match
131698Rockford4Bakersfield2WSommaire du match
133711Manitoba2Rockford1LXXSommaire du match
135719Rockford1Charlotte3LSommaire du match
137730Rockford3San Diego2WXXSommaire du match
138741San Jose4Rockford2LSommaire du match
140755Rockford2Ontario1WSommaire du match
142767Eagles1Rockford3WSommaire du match
144777Rockford4Bakersfield2WSommaire du match
147789Manitoba5Rockford4LXSommaire du match
149800Rockford2Iowa1WSommaire du match
151808Rockford1San Jose5LSommaire du match
152816Eagles4Rockford5WXXSommaire du match
156842Springfield3Rockford6WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
159856Rockford3Hershey2WSommaire du match
160865San Diego2Rockford1LSommaire du match
163883Abbotsford-Rockford-
165892Rockford-Laval-
166899Rockford-Manitoba-
169912Rockford-Texas-
171920Texas-Rockford-
173930Rockford-Coachella Valley-
176945San Jose-Rockford-
180964Coachella Valley-Rockford-
185983Bridgeport-Rockford-
186985Rockford-Texas-
188994Rockford-Iowa-
1941024Abbotsford-Rockford-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance52,31525,316
Assistance PCT74.74%72.33%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 2218 - 73.93% 130,187$4,556,556$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,759,710$ 1,635,000$ 1,587,500$ 4,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,141$ 1,397,234$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
781,124$ 33 28,897$ 953,601$




Rockford 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 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 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 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 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