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Rockford
GP: 82 | W: 43 | L: 34 | OTL: 5 | P: 91
GF: 310 | GA: 323 | PP%: 24.08% | PK%: 78.34%
DG: Pierre-Luc Simard | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
San Jose
53-27-2, 108pts
2
FINAL
3 Rockford
43-34-5, 91pts
Team Stats
L1SéquenceW2
29-11-1Fiche domicile20-17-4
24-16-1Fiche domicile23-17-1
7-3-0Derniers 10 matchs7-3-0
4.51Buts par match 3.78
3.62Buts contre par match 3.94
25.54%Pourcentage en avantage numérique24.08%
78.13%Pourcentage en désavantage numérique78.34%
Abbotsford
38-39-5, 81pts
2
FINAL
3 Rockford
43-34-5, 91pts
Team Stats
L1SéquenceW2
24-16-1Fiche domicile20-17-4
14-23-4Fiche domicile23-17-1
2-7-1Derniers 10 matchs7-3-0
3.78Buts par match 3.78
4.33Buts contre par match 3.94
21.01%Pourcentage en avantage numérique24.08%
75.68%Pourcentage en désavantage numérique78.34%
Meneurs d'équipe
Buts
Jansen Harkins
30
Passes
Christian Djoos
62
Points
Christian Djoos
86
Plus/Moins
Jani Hakanpaa
7
Victoires
Semyon Varlamov
26
Pourcentage d’arrêts
Josef Korenar
0.914

Statistiques d’équipe
Buts pour
310
3.78 GFG
Tirs pour
3609
44.01 Avg
Pourcentage en avantage numérique
24.1%
85 GF
Début de zone offensive
42.1%
Buts contre
323
3.94 GAA
Tirs contre
3526
43.00 Avg
Pourcentage en désavantage numérique
78.3%%
73 GA
Début de la zone défensive
41.2%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,274
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure18
Limite contact 38 / 50
Espoirs33


Historique d'équipe

Saison actuelle43-34-5 (91PTS)
Historique125-100-19 (0.512%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)1-4
Coupe Stanley0


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 moyen
1Boris Katchouk (R)X100.00833591748876916870697074754646625000242700,000$
2Paul StastnyX100.00753694597283906779676965788875275000362650,000$
3Michael Dal Colle (R)XX100.00763589798879897074676960794848595000263800,000$
4Anders BjorkXX98.008231929188848676787376658648486050002521,295,000$
5Craig SmithXX100.00623488707475876869647163786769305000321900,000$
6Joey HishonX100.00573397806977696880726662805644395000301750,000$
7Juho Lammikko (R) (A)X100.00663396828679867184726864864942525000263850,000$
8Colin WilsonXXX100.00712299767774907183647068837062345000321700,000$
9Ron HainseyX100.0060318944817797485046479166999915000411900,000$
10Jani HakanpaaX100.009435737294808750505050927565663250003011,300,000$
11Daniel BrickleyX100.00713577789278864553454583734845455000272550,000$
12Noah Juulsen (R)X100.00853189778380604850504788764848555000251800,000$
13Derrick PouliotX100.00783077828181835250514784745758385000281725,000$
14Christian DjoosX99.00663486947086866056585685785347545000272900,000$
Rayé
1Jansen Harkins (R)XX100.00742793808472877172707268774748615000251700,000$
2Mitchell Stephens (R)X100.00762791788375847290707367774745595000251500,000$
3Micheal FerlandXX100.00744474758882787471717262796072525000302875,000$
4Kieffer Bellows (R)XX100.00813888808779767372737260794645645000241800,000$
MOYENNE D’ÉQUIPE99.8374338876837984646863637278585646500
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 moyen
1Josef Korenar (R)99.0071807575747980818380724242685000241500,000$
Rayé
1Semyon Varlamov100.00648381787388878888737790903450003411,260,000$
MOYENNE D’ÉQUIPE99.506882787774848485867775666651500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Boudreau84808786928652CAN6834,000,000$


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
1Christian DjoosRockford (CHI)D82246286-239526100263841779.13%172180121.971416301402760111101510%000100.9500100158
2Kieffer BellowsRockford (CHI)LW/RW77185573-5792516168267852136.74%4141918.4492029742560000593144.16%15400001.0313014135
3Jansen HarkinsRockford (CHI)LW/RW8030407023405898310752239.68%10138017.2691726732710004386347.59%14500011.0111000333
4Mitchell StephensRockford (CHI)C78274168-4240108148295792169.15%13148519.04716236824310171401055.06%226300110.9211000232
5Juho LammikkoRockford (CHI)C82204666-1712034160285681877.02%10138316.8762026682450001263352.39%219900000.9500000234
6Micheal FerlandRockford (CHI)LW/RW63272249-127915125602557116910.59%13116318.474610311110002252250.00%11800010.8401102604
7Boris KatchoukRockford (CHI)LW67192948-2661013968246741927.72%21127018.9759146020800021531050.85%17700100.7601101243
8Jani HakanpaaRockford (CHI)D761234467110018877181581166.63%184170022.375813811810002206200%000100.5400000036
9Noah JuulsenRockford (CHI)D7793746-1364011271165551175.45%151165621.5241721762490000225000%000000.5600000111
10Paul ByronChicagoC/LW/RW3514294371003176186381477.53%1376121.754913271150006941039.94%106400001.1300000133
11Derrick PouliotRockford (CHI)D82112839-23660797512445958.87%156160819.615712451521125225010%000000.4900000120
12Craig SmithRockford (CHI)C/RW81261339-2824044482014113412.94%14112213.866410171180001322146.36%11000000.6900000221
13Paul StastnyRockford (CHI)C81132437432105911814839908.78%17107713.3011252700051731155.45%162300000.6901002220
14Michael Dal ColleRockford (CHI)LW/RW8215203563409688187561628.02%7115214.0501182802211174149.31%14400000.6100000212
15Ron HainseyRockford (CHI)D81102131-1140206512132688.26%169153819.00437341460114215200%000000.4000000010
16Anders BjorkRockford (CHI)LW/RW2410203021804147127301017.87%751921.6404428940002503256.59%18200001.1612000420
17Joey HishonRockford (CHI)C79111930-1940299814740957.48%1283110.53000290112970152.19%112100000.7200000300
18Daniel BrickleyRockford (CHI)D8052025-1563562477016597.14%127115014.3800000000195010%000000.4300001000
19Colin WilsonRockford (CHI)C/LW/RW491310235120525515144998.61%1776115.532138401016973051.88%42600000.6000000203
20Jesse PuljujarviChicagoRW11010201130233.33%01111.000000000000000%000001.8200000000
Statistiques d’équipe totales ou en moyenne1357315570885-10878670146515683732103026628.44%11172379517.54851592448452777369522176391851.82%972600430.744103110353845
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 (CHI)52262140.9053.9529644119520550100.909115028613
2Josef KorenarRockford (CHI)35171310.9143.7919471901231438001003247232
Statistiques d’équipe totales ou en moyenne87433450.9093.8949112313183493011118275845


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Lien
Anders BjorkRockford (CHI)LW/RW251996-08-05No196 Lbs6 ft0NoNoNoNo2Pro & Farm1,295,000$7,573$0$0$No1,295,000$Lien
Boris KatchoukRockford (CHI)LW241998-06-18 23:11:33Yes206 Lbs6 ft2NoNoNoNo2Pro & Farm700,000$4,094$0$0$No700,000$
Christian DjoosRockford (CHI)D271994-08-06No172 Lbs6 ft0NoNoNoNo2Pro & Farm900,000$5,263$0$0$No900,000$Lien
Colin Wilson (contrat à 1 volet)Rockford (CHI)C/LW/RW321989-10-20No223 Lbs6 ft1NoNoYesYes1Pro & Farm700,000$7,000$0$NoLien
Craig SmithRockford (CHI)C/RW321989-09-05No210 Lbs6 ft1NoNoNoNo1Pro & Farm900,000$5,263$0$0$NoLien
Daniel BrickleyRockford (CHI)D271995-03-30No206 Lbs6 ft3NoNoNoNo2Pro & Farm550,000$3,216$0$0$No550,000$Lien
Derrick PouliotRockford (CHI)D281994-01-16 05:07:07No196 Lbs6 ft0NoNoNoNo1Pro & Farm725,000$4,240$0$0$NoLien
Jani HakanpaaRockford (CHI)D301992-03-31 11:50:03No220 Lbs6 ft5NoNoNoNo1Pro & Farm1,300,000$7,602$0$0$NoLien
Jansen HarkinsRockford (CHI)LW/RW251997-05-23 04:57:41Yes182 Lbs6 ft1NoNoNoNo1Pro & Farm700,000$4,094$0$0$NoLien
Joey HishonRockford (CHI)C301991-10-20No180 Lbs5 ft10NoNoNoNo1Pro & Farm750,000$4,386$0$0$NoLien
Josef KorenarRockford (CHI)G241998-01-31 10:50:20Yes187 Lbs6 ft1NoNoNoNo1Pro & Farm500,000$2,924$0$0$NoLien
Juho LammikkoRockford (CHI)C261996-01-29Yes195 Lbs6 ft2NoNoNoNo3Pro & Farm850,000$4,971$0$0$No850,000$850,000$Lien
Kieffer BellowsRockford (CHI)LW/RW241998-06-10 16:16:51Yes195 Lbs6 ft1NoNoNoNo1Pro & Farm800,000$4,678$0$0$No
Michael Dal ColleRockford (CHI)LW/RW261996-06-20Yes204 Lbs6 ft3NoNoNoNo3Pro & Farm800,000$4,678$0$0$No800,000$800,000$Lien
Micheal FerlandRockford (CHI)LW/RW301992-04-20No211 Lbs6 ft2NoNoNoNo2Pro & Farm875,000$5,117$0$0$No875,000$Lien
Mitchell StephensRockford (CHI)C251997-02-05 05:12:52Yes190 Lbs5 ft11NoNoNoNo1Pro & Farm500,000$2,924$0$0$NoLien
Noah JuulsenRockford (CHI)D251997-04-02 05:02:26Yes201 Lbs6 ft2NoNoNoNo1Pro & Farm800,000$4,678$0$0$NoLien
Paul StastnyRockford (CHI)C361985-12-27No216 Lbs6 ft0NoNoNoNo2Pro & Farm650,000$3,801$0$0$No650,000$
Ron HainseyRockford (CHI)D411981-03-24No205 Lbs6 ft3NoNoNoNo1Pro & Farm900,000$5,263$0$0$NoLien
Semyon VarlamovRockford (CHI)G341988-04-27 11:37:02No204 Lbs6 ft1NoNoNoNo1Pro & Farm1,260,000$7,368$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2028.55200 Lbs6 ft11.50822,750$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anders BjorkColin Wilson25122
2Boris KatchoukJuho LammikkoMichael Dal Colle25122
3Joey HishonPaul StastnyCraig Smith25122
4Anders BjorkJoey Hishon25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jani HakanpaaChristian Djoos35122
2Derrick PouliotNoah Juulsen30122
3Ron HainseyDaniel Brickley25122
4Jani HakanpaaChristian Djoos10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anders BjorkColin Wilson50122
2Boris KatchoukJuho LammikkoMichael Dal Colle50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jani HakanpaaChristian Djoos50122
2Derrick PouliotNoah Juulsen50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Anders Bjork50122
2Boris KatchoukColin Wilson50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jani HakanpaaChristian Djoos50122
2Derrick PouliotNoah Juulsen50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Anders Bjork50122Jani HakanpaaChristian Djoos50122
250122Derrick PouliotNoah Juulsen50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Anders Bjork50122
2Boris KatchoukColin Wilson50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jani HakanpaaChristian Djoos50122
2Derrick PouliotNoah Juulsen50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anders BjorkColin WilsonJani HakanpaaChristian Djoos
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anders BjorkColin WilsonJani HakanpaaChristian Djoos
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Paul Stastny, Craig Smith, Juho LammikkoPaul Stastny, Craig SmithJuho Lammikko
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ron Hainsey, Daniel Brickley, Derrick PouliotRon HainseyDaniel Brickley, Derrick Pouliot
Tirs de pénalité
Anders Bjork, , Boris Katchouk, Colin Wilson, Juho Lammikko
Gardien
#1 : Josef Korenar, #2 :
Lignes d’attaque personnalisées en prolongation
Anders Bjork, , Boris Katchouk, Colin Wilson, Juho Lammikko, Michael Dal Colle, Michael Dal Colle, Paul Stastny, Joey Hishon, Craig Smith,
Lignes de défense personnalisées en prolongation
Jani Hakanpaa, Christian Djoos, Derrick Pouliot, Noah Juulsen, Ron Hainsey


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
1Abbotsford422000001214-22200000074320200000510-540.500122133001111009281591209120111694114555387116318.75%14378.57%01970367753.58%1880359852.25%782146153.52%1953131118976381103546
2Bakersfield4310000015123211000007612200000086260.750152843001111009281651209120111694116059397320525.00%16381.25%01970367753.58%1880359852.25%782146153.52%1953131118976381103546
3Bridgeport220000001275110000006421100000063341.00012223400111100928124120912011169416420172117741.18%50100.00%01970367753.58%1880359852.25%782146153.52%1953131118976381103546
4Charlotte210000018711000000145-11100000042230.75081220001111009289312091201116941752917341915.26%6266.67%01970367753.58%1880359852.25%782146153.52%1953131118976381103546
5Cleveland21100000710-3110000004131010000039-620.50071118001111009287612091201116941843141357342.86%14471.43%01970367753.58%1880359852.25%782146153.52%1953131118976381103546
6Coachella Valley202000001014-41010000057-21010000057-200.00010172710111100928921209120111694110220163213538.46%7271.43%01970367753.58%1880359852.25%782146153.52%1953131118976381103546
7Eagles4110002015123201000108802100001074360.75015233800111100928199120912011169411764636651915.26%18477.78%11970367753.58%1880359852.25%782146153.52%1953131118976381103546
8Grand Rapids2110000078-1110000003211010000046-220.500711180011110092810612091201116941812016476233.33%8362.50%01970367753.58%1880359852.25%782146153.52%1953131118976381103546
9Hartford301011001217-51000010045-120101000812-430.500122133001111009281371209120111694114849376014642.86%14378.57%01970367753.58%1880359852.25%782146153.52%1953131118976381103546
10Hershey20101000910-11010000046-21000100054120.500917260011110092811612091201116941792620358225.00%10280.00%01970367753.58%1880359852.25%782146153.52%1953131118976381103546
11Iowa64200000191363210000011563210000088080.6671936550111110092824612091201116941213755110024520.83%23291.30%01970367753.58%1880359852.25%782146153.52%1953131118976381103546
12Laval2110000078-11010000025-31100000053220.50071118001111009288312091201116941852718294250.00%8187.50%01970367753.58%1880359852.25%782146153.52%1953131118976381103546
13Lehigh Valley20200000612-61010000037-41010000035-200.00061218001111009288012091201116941852614388225.00%7614.29%01970367753.58%1880359852.25%782146153.52%1953131118976381103546
14Manitoba633000001919032100000119231200000810-260.5001937560011110092822512091201116941235937011623521.74%28775.00%01970367753.58%1880359852.25%782146153.52%1953131118976381103546
15Ontario412010001616020101000910-12110000076140.500162743001111009281571209120111694118373396411327.27%14378.57%01970367753.58%1880359852.25%782146153.52%1953131118976381103546
16Providence211000008711010000045-11100000042220.50081321001111009289312091201116941853014434250.00%7185.71%01970367753.58%1880359852.25%782146153.52%1953131118976381103546
17Rochester20200000814-61010000046-21010000048-400.0008152300111100928101120912011169419323224110220.00%10460.00%01970367753.58%1880359852.25%782146153.52%1953131118976381103546
18San Diego44000000191362200000010732200000096381.000193251001111009281751209120111694115137305919421.05%14285.71%01970367753.58%1880359852.25%782146153.52%1953131118976381103546
19San Jose422000001416-22110000056-121100000910-140.500142539001111009281721209120111694119244376612325.00%15380.00%11970367753.58%1880359852.25%782146153.52%1953131118976381103546
20Springfield8430010034322513001001723-633000000179890.56334599300111100928337120912011169413501368513039615.38%39684.62%01970367753.58%1880359852.25%782146153.52%1953131118976381103546
21Syracuse722012002733-6301011001013-3421001001720-380.5712750770011110092833012091201116941325864610635720.00%21480.95%01970367753.58%1880359852.25%782146153.52%1953131118976381103546
22Texas614000101623-73110001067-1303000001016-640.3331626420011110092824012091201116941311876510119736.84%29872.41%01970367753.58%1880359852.25%782146153.52%1953131118976381103546
23Wilkes-Barre/Scranton220000001064110000005321100000053241.00010192900111100928103120912011169411042422316233.33%100100.00%11970367753.58%1880359852.25%782146153.52%1953131118976381103546
Total82363404431310323-1341161702321149154-541201702110161169-8910.555310545855111111009283609120912011169413526111679013973538524.08%3377378.34%31970367753.58%1880359852.25%782146153.52%1953131118976381103546
_Since Last GM Reset82363404431310323-1341161702321149154-541201702110161169-8910.555310545855111111009283609120912011169413526111679013973538524.08%3377378.34%31970367753.58%1880359852.25%782146153.52%1953131118976381103546
_Vs Conference57272202330206203329121102220101983281511001101051050670.5882063645700111110092824051209120111694124417915369512374920.68%2314580.52%21970367753.58%1880359852.25%782146153.52%1953131118976381103546
_Vs Division301414013101039941667012105352114870010050473350.5831031812840111110092812471209120111694112854373075121242419.35%1372780.29%11970367753.58%1880359852.25%782146153.52%1953131118976381103546

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8291W2310545855360935261116790139711
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8236344431310323
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4116172321149154
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4120172110161169
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3538524.08%3377378.34%3
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
12091201116941111100928
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
1970367753.58%1880359852.25%782146153.52%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1953131118976381103546


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
212Iowa2Rockford1BLSommaire du match
424Rockford2Manitoba3ALSommaire du match
525Rockford1Syracuse7ALSommaire du match
742Springfield6Rockford4BLSommaire du match
1056Rockford7Syracuse5AWSommaire du match
1164Rockford1Iowa3ALSommaire du match
1374Springfield4Rockford3BLXSommaire du match
1591Syracuse2Rockford3BWXSommaire du match
17103Rockford4Texas5ALSommaire du match
19113Manitoba3Rockford5BWSommaire du match
22130Springfield4Rockford1BLSommaire du match
24142Rockford5Springfield2AWSommaire du match
25151Rockford3Ontario1AWSommaire du match
27162Texas3Rockford0BLSommaire du match
29176Rockford6San Jose4AWSommaire du match
31187Rockford2Texas6ALSommaire du match
32193Bakersfield1Rockford5BWSommaire du match
34210Ontario6Rockford7BWXSommaire du match
37225Texas2Rockford3BWXXSommaire du match
38232Rockford3Abbotsford5ALSommaire du match
40248Rockford2Abbotsford5ALSommaire du match
42257San Diego4Rockford5BWSommaire du match
44270Rockford4Charlotte2AWSommaire du match
46281Abbotsford2Rockford4BWSommaire du match
49298Syracuse4Rockford3BLXSommaire du match
50304Rockford4Rochester8ALSommaire du match
53319Rockford3Lehigh Valley5ALSommaire du match
55329Laval5Rockford2BLSommaire du match
57343Rockford6Bridgeport3AWSommaire du match
58351Syracuse7Rockford4BLSommaire du match
61368Coachella Valley7Rockford5BLSommaire du match
65386Rockford5Hershey4AWXSommaire du match
66394San Diego3Rockford5BWSommaire du match
69414Lehigh Valley7Rockford3BLSommaire du match
71428Rockford3Iowa2AWSommaire du match
73436Hartford5Rockford4BLXSommaire du match
74450Rockford3Manitoba2AWSommaire du match
76459Texas2Rockford3BWSommaire du match
77469Rockford3Manitoba5ALSommaire du match
80483Rockford5Wilkes-Barre/Scranton3AWSommaire du match
81489Rochester6Rockford4BLSommaire du match
83505Rockford5Coachella Valley7ALSommaire du match
85515Cleveland1Rockford4BWSommaire du match
89534Iowa0Rockford4BWSommaire du match
91552Rockford5Eagles3AWSommaire du match
92556Grand Rapids2Rockford3BWSommaire du match
95572Rockford3Cleveland9ALSommaire du match
97581Rockford4Grand Rapids6ALSommaire du match
98586Iowa3Rockford6BWSommaire du match
101602Rockford6Syracuse4AWSommaire du match
102610Charlotte5Rockford4BLXXSommaire du match
104624Rockford4Providence2AWSommaire du match
105635Hershey6Rockford4BLSommaire du match
107649Rockford3Syracuse4ALXSommaire du match
109660Providence5Rockford4BLSommaire du match
111672Rockford4Texas5ALSommaire du match
113684Springfield5Rockford3BLSommaire du match
116699Bridgeport4Rockford6BWSommaire du match
118711Rockford4Ontario5ALSommaire du match
119718Rockford5San Diego3AWSommaire du match
121732Manitoba2Rockford3BWSommaire du match
124748Wilkes-Barre/Scranton3Rockford5BWSommaire du match
125755Rockford5Laval3AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
128767Rockford4San Diego3AWSommaire du match
130776San Jose4Rockford2BLSommaire du match
135798Manitoba4Rockford3BLSommaire du match
137812Rockford2Bakersfield1AWSommaire du match
139818Rockford6Springfield4AWSommaire du match
140825Eagles4Rockford3BLSommaire du match
142842Rockford6Springfield3AWSommaire du match
144849Eagles4Rockford5BWXXSommaire du match
147868Ontario4Rockford2BLSommaire du match
148874Rockford5Hartford4AWXSommaire du match
150888Rockford2Eagles1AWXXSommaire du match
152897Bakersfield5Rockford2BLSommaire du match
153900Rockford3Hartford8ALSommaire du match
156921Rockford4Iowa3AWSommaire du match
157926Springfield4Rockford6BWSommaire du match
159936Rockford6Bakersfield5AWSommaire du match
160945Rockford3San Jose6ALSommaire du match
162955San Jose2Rockford3BWSommaire du match
169978Abbotsford2Rockford3BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance62,67030,557
Assistance PCT76.43%74.53%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2274 - 75.79% 133,361$5,467,784$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
5,378,172$ 1,575,500$ 1,575,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,213$ 1,401,532$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 32,605$ 32,605$




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
1Christian Djoos23758165223-181111072766628.76%445515921.7733447735502221220%00.8600
2Kieffer Bellows23660142202-42154111857418.10%13410217.3825527719400006446.71%00.9826
3Jansen Harkins2428410218668819228683910.01%42421017.402644702041011815744.97%20.8822
4Mitchell Stephens238781051830722904157869.92%40429418.05153449156516234154.63%20.8522
5Juho Lammikko24656125181-49441044317417.56%29405516.4914445815200029753.02%00.8900

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
1Semyon Varlamov1618460130.9083.4792648453558280610.77836
2Josef Korenar99413980.9083.77546344034337230040.5717

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
Saison régulière
2082333204625276259174118130241313612511411519022121401346892764887643210972899287992893098456260576271912593216319.63%2945381.97%61739321354.12%1566296552.82%738133855.16%2034140418726151065537
2182363404431310323-1341161702321149154-541201702110161169-891310545855111111009283609120912011169413526111679013973538524.08%3377378.34%31970367753.58%1880359852.25%782146153.52%1953131118976381103546
2182363404431310323-1341161702321149154-541201702110161169-891310545855111111009283609120912011169413526111679013973538524.08%3377378.34%31970367753.58%1880359852.25%782146153.52%1953131118976381103546
Total Saison régulière2461051000121487896905-912350470610554344331123555306432462472-10271896157824745433127227325100973346333233221389657299422994053102723322.69%96819979.44%1256791056753.74%53261016152.42%2302426054.04%594040265668189132721631
Séries éliminatoires
20514000001218-62110000067-130300000611-52122133102451145433464416148446821419.05%20670.00%011118360.66%11619459.79%409243.48%11376124396631
Total Séries éliminatoires514000001218-62110000067-130300000611-52122133102451145433464416148446821419.05%20670.00%011118360.66%11619459.79%409243.48%11376124396631

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
1Lukas Sedlak5224-2017825.00%07515.10112300000064.00%01.0600
2Juho Lammikko5044-1021050%16813.69000000000051.69%01.1700
3Joonas Donskoi531400371816.67%08617.250116000000100.00%00.9300
4Jesse Puljujarvi5134-1481128.33%08817.69011500001066.67%00.9000
5Kevin Connauton503301013580%1211823.6901120001000%00.5100

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
1Semyon Varlamov41300.8913.44244001412801000
2Josef Korenar10100.9063.05590033200100