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Peoria Rivermen
GP: 5 | W: 2 | L: 3
GF: 18 | GA: 19 | PP%: 22.22% | PK%: 76.67%
DG: Sebastien Chartrand | Morale : 40 | Moyenne d’équipe : 69
Prochains matchs #43 vs Milwaukee Admirals

Centre de jeu
Peoria Rivermen
2-3-0, 4pts
3
FINAL
4 Milwaukee Admirals
3-2-0, 6pts
Team Stats
W1SéquenceL1
2-1-0Fiche domicile2-0-0
0-2-0Fiche domicile1-2-0
2-3-0Derniers 10 matchs3-1-1
3.60Buts par match 3.80
3.80Buts contre par match 3.60
22.22%Pourcentage en avantage numérique23.33%
76.67%Pourcentage en désavantage numérique77.78%
Milwaukee Admirals
3-2-0, 6pts
2
FINAL
5 Peoria Rivermen
2-3-0, 4pts
Team Stats
L1SéquenceW1
2-0-0Fiche domicile2-1-0
1-2-0Fiche domicile0-2-0
3-1-1Derniers 10 matchs2-3-0
3.80Buts par match 3.60
3.60Buts contre par match 3.80
23.33%Pourcentage en avantage numérique22.22%
77.78%Pourcentage en désavantage numérique76.67%
Peoria Rivermen
2-3-0, 4pts
Jour 6
Milwaukee Admirals
3-2-0, 6pts
Statistiques d’équipe
W1SéquenceL1
2-1-0Fiche domicile2-0-0
0-2-0Fiche visiteur1-2-0
2-3-010 derniers matchs3-1-1
3.60Buts par match 3.80
3.80Buts contre par match 3.80
22.22%Pourcentage en avantage numérique23.33%
76.67%Pourcentage en désavantage numérique77.78%
Milwaukee Admirals
3-2-0, 6pts
Jour 7
Peoria Rivermen
2-3-0, 4pts
Statistiques d’équipe
L1SéquenceW1
2-0-0Fiche domicile2-1-0
1-2-0Fiche visiteur0-2-0
3-1-110 derniers matchs2-3-0
3.80Buts par match 3.60
3.60Buts contre par match 3.60
23.33%Pourcentage en avantage numérique22.22%
77.78%Pourcentage en désavantage numérique76.67%
Meneurs d'équipe
Buts
David Volek
4
Passes
David Volek
6
Points
David Volek
10
Plus/Moins
Grant Jennings
3
Victoires
Pat Jablonski
1
Pourcentage d’arrêts
Pat Jablonski
0.892

Statistiques d’équipe
Buts pour
18
3.60 GFG
Tirs pour
132
26.40 Avg
Pourcentage en avantage numérique
22.2%
4 GF
Début de zone offensive
35.4%
Buts contre
19
3.80 GAA
Tirs contre
171
34.20 Avg
Pourcentage en désavantage numérique
76.7%%
7 GA
Début de la zone défensive
44.8%
Informations de l'équipe

Directeur généralSebastien Chartrand
EntraîneurPat Kelly
DivisionNorris
ConférenceConference 1
CapitaineMark Tinordi
Assistant #1Cory Stillman
Assistant #2Dallas Drake


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure19
Limite contact 41 / 250
Espoirs0


Historique d'équipe

Saison actuelle2-3
Historique367-237-48 (0.563%)
Apparitions en séries éliminatoires 7
Historique en séries éliminatoires (W-L)47 - 38 (0.553%)
Coupe Stanley1


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
1Dallas Drake (R) (A)XX100.00743670777484827261777479677778040730233750,000$
2Cory Stillman (R) (A)XX100.0063257873658484787081766868657204072018385,000$
3David VolekXX100.00662789777273697448767465706666040700261650,000$
4Wes JarvisXXX100.00715489707771757369666875627377040700343750,000$
5Curt FraserX100.00737164707672777054696770657882040690343750,000$
6Greg AdamsX100.00746355687072737455696878647264040690324750,000$
7Stewart GavinXX100.00733285767674796950686875635347040690324750,000$
8Brent AshtonXXX100.00612184726476827167696969657773040680323750,000$
9Mark ReedsXXX100.00683592687472736759696972605967040680323700,000$
10Dixon Ward (R)XXX100.00673877696677726763666571585249040650242250,000$
11Donald Brashear (R)X100.0077814270848082674761636059474404063020155,000$
12Iain Fraser (R)XX100.00642785696470686568666861643533040620223250,000$
13Mark Tinordi (R) (C)X100.00846443758781747540757784586566040750261900,000$
14Gord DineenX100.00735758757679837140717077536676040720292650,000$
15Grant JenningsX100.00687466768280777640727078656164040720274825,000$
16Philippe Boucher (R)X100.0066378669717676724069737668636904069019262,500$
17Charlie BourgeoisX100.00736554657770706638666376556368040680323700,000$
18Ken Sutton (R)X100.00653278706677696640656770575248040640223400,000$
Rayé
1David ShandX100.00684952687468717140666572527677040680363700,000$
MOYENNE D’ÉQUIPE100.0070477171737676715270697262636404069
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
1Ron Tugnutt (R)100.0078808173817776798178846368040750243550,000$
2Pat Jablonski100.0076757675797573828182795452040730252500,000$
Rayé
1Roberto Romano100.0067757865686767706864663430040630292250,000$
MOYENNE D’ÉQUIPE100.007477787176737277777576505004070
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pat Kelly50505050706040CAN57125,000$


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
1David VolekPeoria Rivermen (STL)LW/RW5461010025115736.36%410821.770222160001220112.50%800001.8400000110
2Grant JenningsPeoria Rivermen (STL)D5358312096114527.27%411222.55101715000019000%000001.4200000101
3Wes JarvisPeoria Rivermen (STL)C/LW/RW515610001511229.09%110821.611123160000220047.22%14400001.1100000000
4Philippe BoucherPeoria Rivermen (STL)D5235-2000340750.00%611923.91112116101123000%000000.8400000000
5Dallas DrakePeoria Rivermen (STL)LW/RW5134-14067142177.14%311022.160114160110240038.46%1300000.7200000000
6Donald BrashearPeoria Rivermen (STL)LW512318014350120.00%08416.95011016000000057.14%700000.7100000010
7Cory StillmanPeoria Rivermen (STL)C/LW5123-100211183145.56%111322.681013160110260052.26%15500000.5300000000
8Greg AdamsPeoria Rivermen (STL)LW5112-2401161071210.00%18817.69000216000041055.56%900000.4500000000
9Mark TinordiPeoria Rivermen (STL)D5022-2802048780%1511823.80022517000022000%000000.3400000000
10Ken SuttonPeoria Rivermen (STL)D51123205191211.11%511523.13000515000023000%000000.3500000000
11Charlie BourgeoisPeoria Rivermen (STL)D5011140331010%57014.130000200003000%000000.2800000000
12Curt FraserPeoria Rivermen (STL)LW5011000403010%1295.9700000000000050.00%200000.6700000000
13Gord DineenPeoria Rivermen (STL)D510101008631233.33%127815.700000100008000%000000.2511000000
14Mark ReedsPeoria Rivermen (STL)C/LW/RW51010200430033.33%2295.9600000000000042.31%2600000.6700000000
15Stewart GavinPeoria Rivermen (STL)LW/RW510124043103210.00%05511.1400011000001050.00%400000.3600000000
16Dixon WardPeoria Rivermen (STL)C/LW/RW5011220734210%05611.3000001000000040.00%500000.3500000000
17Brent AshtonPeoria Rivermen (STL)C/LW/RW5000000013000%0295.970000000000000%10000000000000
18Iain FraserPeoria Rivermen (STL)C/RW5000240134050%05511.1800011000000050.91%550000000000000
Statistiques d’équipe totales ou en moyenne9018335186409684132378713.64%60148816.5348123417112322042148.48%42900000.6911000221
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
1Pat JablonskiPeoria Rivermen (STL)31200.8924.1718700131200000032000
2Ron TugnuttPeoria Rivermen (STL)21100.8823.03119006510000023000
Statistiques d’équipe totales ou en moyenne52300.8893.713070019171000055000


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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
Brent AshtonPeoria Rivermen (STL)C/LW/RW321960-05-18CANNo210 Lbs6 ft1NoNoFree AgentNoNo32026-03-31FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Charlie BourgeoisPeoria Rivermen (STL)D321959-11-19CANNo220 Lbs6 ft4NoNoFree AgentNoNo32026-04-04FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Cory StillmanPeoria Rivermen (STL)C/LW181973-12-20CANYes190 Lbs6 ft0NoNoAssign ManuallyNoNo32026-03-04FalseFalsePro & Farm85,000$0$0$No85,000$85,000$-------85,000$85,000$-------NoNo-------Lien
Curt FraserPeoria Rivermen (STL)LW341958-01-12USANo200 Lbs6 ft1NoNoFree Agent2024-01-30NoNo32026-04-21FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Dallas DrakePeoria Rivermen (STL)LW/RW231969-02-04CANYes185 Lbs6 ft0NoNoAssign ManuallyNoNo32026-03-17FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
David ShandPeoria Rivermen (STL)D361956-06-29CANNo200 Lbs6 ft2NoNoFree AgentNoNo32026-05-03FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
David VolekPeoria Rivermen (STL)LW/RW261966-06-18CZENo185 Lbs6 ft0NoNoN/ANoNo12026-03-17FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
Dixon WardPeoria Rivermen (STL)C/LW/RW241968-06-29CANYes200 Lbs6 ft0NoNoAssign ManuallyNoNo22025-08-17FalseFalsePro & Farm250,000$0$0$No250,000$--------250,000$--------No--------Lien
Donald BrashearPeoria Rivermen (STL)LW201972-01-07USAYes237 Lbs6 ft3NoNoAssign ManuallyNoNo12024-12-23FalseFalsePro & Farm55,000$0$0$No---------------------------Lien
Gord DineenPeoria Rivermen (STL)D291962-09-21CANNo195 Lbs6 ft0NoNoN/ANoNo22025-01-07FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Lien
Grant JenningsPeoria Rivermen (STL)D271965-05-05CANNo210 Lbs6 ft3NoNoN/ANoNo42026-03-17FalseFalsePro & Farm825,000$0$0$No825,000$825,000$825,000$------825,000$825,000$825,000$------NoNoNo------Lien
Greg AdamsPeoria Rivermen (STL)LW321960-05-31CANNo190 Lbs6 ft1NoNoFree Agent2024-07-25NoNo42026-03-31FalseFalsePro & Farm750,000$0$0$No750,000$750,000$750,000$------750,000$750,000$750,000$------NoNoNo------Lien
Iain FraserPeoria Rivermen (STL)C/RW221969-08-10CANYes184 Lbs5 ft10NoNoTrade2026-03-25NoNo32026-03-25FalseFalsePro & Farm250,000$0$0$No250,000$250,000$-------250,000$250,000$-------NoNo-------Lien
Ken SuttonPeoria Rivermen (STL)D221969-11-05CANYes200 Lbs6 ft0NoNoTrade2026-03-25NoNo32026-03-25FalseFalsePro & Farm400,000$0$0$No400,000$400,000$-------400,000$400,000$-------NoNo-------Lien
Mark ReedsPeoria Rivermen (STL)C/LW/RW321960-01-24CANNo190 Lbs5 ft10NoNoFree AgentNoNo32026-04-04FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Mark TinordiPeoria Rivermen (STL)D261966-05-09CANYes213 Lbs6 ft4NoNoN/ANoNo12026-03-17FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Pat JablonskiPeoria Rivermen (STL)G251967-06-20USANo180 Lbs6 ft0NoNoN/ANoNo22026-03-17FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Philippe BoucherPeoria Rivermen (STL)D191973-03-24CANYes212 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-11FalseFalsePro & Farm62,500$0$0$No62,500$--------62,500$--------No--------Lien
Roberto RomanoPeoria Rivermen (STL)G291962-10-10CANNo170 Lbs5 ft6NoNoFree AgentNoNo22026-04-04FalseFalsePro & Farm250,000$0$0$No250,000$--------250,000$--------No--------Lien
Ron TugnuttPeoria Rivermen (STL)G241967-10-22CANYes155 Lbs5 ft11NoNoTrade2026-03-06NoNo32026-03-17FalseFalsePro & Farm550,000$0$0$No550,000$550,000$-------550,000$550,000$-------NoNo-------Lien
Stewart GavinPeoria Rivermen (STL)LW/RW321960-03-15CANNo190 Lbs6 ft0NoNoFree AgentNoNo42026-03-31FalseFalsePro & Farm750,000$0$0$No750,000$750,000$750,000$------750,000$750,000$750,000$------NoNoNo------Lien
Wes JarvisPeoria Rivermen (STL)C/LW/RW341958-05-30CANNo185 Lbs5 ft11NoNoFree AgentNoNo32026-04-04FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2227.18196 Lbs6 ft02.64546,705$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Greg AdamsCory StillmanDallas Drake35014
2Donald BrashearWes JarvisDavid Volek35014
3Stewart GavinIain FraserDixon Ward20023
4Curt FraserMark ReedsBrent Ashton10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark TinordiPhilippe Boucher40032
2Grant JenningsKen Sutton40032
3Gord DineenCharlie Bourgeois20041
4Mark TinordiPhilippe Boucher0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Greg AdamsCory StillmanDallas Drake60014
2Donald BrashearWes JarvisDavid Volek40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark TinordiPhilippe Boucher60023
2Ken SuttonGrant Jennings40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cory StillmanDallas Drake50041
2Wes JarvisDavid Volek50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark TinordiPhilippe Boucher50041
2Ken SuttonGrant Jennings50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cory Stillman50050Mark TinordiPhilippe Boucher50050
2Dallas Drake50050Ken SuttonGrant Jennings50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cory StillmanDallas Drake60023
2Wes JarvisDavid Volek40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark TinordiPhilippe Boucher60023
2Grant JenningsGord Dineen40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
David VolekCory StillmanDallas DrakeMark TinordiPhilippe Boucher
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
David VolekCory StillmanDallas DrakeMark TinordiPhilippe Boucher
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cory Stillman, Dallas Drake, David VolekStewart Gavin, Iain FraserGreg Adams
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mark Tinordi, Philippe Boucher, Ken SuttonGrant JenningsGord Dineen, Charlie Bourgeois
Tirs de pénalité
Cory Stillman, Dallas Drake, David Volek, Wes Jarvis, Stewart Gavin
Gardien
#1 : Ron Tugnutt, #2 : Pat Jablonski
Lignes d’attaque personnalisées en prolongation
Cory Stillman, Dallas Drake, David Volek, Wes Jarvis, Stewart Gavin, Greg Adams, Dixon Ward, Iain Fraser, Brent Ashton, Donald Brashear
Lignes de défense personnalisées en prolongation
Mark Tinordi, Philippe Boucher, Ken Sutton, Grant Jennings, Gord Dineen


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
1Milwaukee Admirals523000001819-132100000111012020000079-240.40018335100341011323141491117160649618422.22%30776.67%16915245.39%9719250.52%428549.41%10970133406631
Total523000001819-132100000111012020000079-240.40018335100341011323141491117160649618422.22%30776.67%16915245.39%9719250.52%428549.41%10970133406631
_Since Last GM Reset523000001819-132100000111012020000079-240.40018335100341011323141491117160649618422.22%30776.67%16915245.39%9719250.52%428549.41%10970133406631
_Vs Conference523000001819-132100000111012020000079-240.40018335100341011323141491117160649618422.22%30776.67%16915245.39%9719250.52%428549.41%10970133406631
_Vs Division523000001819-132100000111012020000079-240.40018335100341011323141491117160649618422.22%30776.67%16915245.39%9719250.52%428549.41%10970133406631

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
54W118335113217160649600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
52300001819
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32100001110
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000079
Derniers 10 matchs
WLOTWOTL SOWSOL
131000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
18422.22%30776.67%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
3141491134101
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
6915245.39%9719250.52%428549.41%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10970133406631


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
13Milwaukee Admirals4Peoria Rivermen1LSommaire du match
211Milwaukee Admirals4Peoria Rivermen5WXSommaire du match
319Peoria Rivermen4Milwaukee Admirals5LSommaire du match
427Peoria Rivermen3Milwaukee Admirals4LSommaire du match
535Milwaukee Admirals2Peoria Rivermen5WSommaire du match
643Peoria Rivermen-Milwaukee Admirals-
751Milwaukee Admirals-Peoria Rivermen-



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
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,202,750$ 1,202,750$ 25,000$0$
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$ 2 0$ 0$




Peoria Rivermen 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
1Mark Tinordi62614537151611012051818615134910.75%8241405122.45861192058181231321520.00%10.7300
2Randy Boyd5011233114344040665552190913.53%6591148322.92721021745232810152570%00.7600
3Grant Jennings65191314405805836155619339.75%7431397221.46471081555623710151160%00.5800
4Mikko Makela57013922636595108260578120511.54%1001051218.443061912813142915648.45%00.6924
5Dallas Drake3261481723208928460734294915.60%67697321.39485510325822426221250.59%30.92715

Peoria Rivermen 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
1Garth Snow351173129250.8763.43192472213110188560940.78278
2Curtis Joseph1609446130.8863.2389794848342410920.75645
3Pat Jablonski1717138100.8943.11780712440538120920.80035
4Damian Rhodes63312320.8843.4332582018615990110.8005
5Ron Tugnutt45211430.8843.4323994213711840200.8577

Peoria Rivermen 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
1985824227024343212734841279001221791225741151802312142151-9102321567888141221098552598909828833472438731103817444138721.07%4468580.94%71512295551.17%1467280552.30%721138152.21%2004136419146151054528
1986824324055323462707641287021122061258141151703420140145-510934662096614120103115122691891867899572279602939162039510426.33%4118778.83%101527287253.17%1450273852.96%760138354.95%2037141018806141051532
198782353605510288298-1041191703200134137-341161902310154161-7872885087961188111837240978679681220229665496215843888622.16%4008578.75%51584286355.33%1418266553.21%744134155.48%1998136918996201048525
198882343403443290287341171800132155147841171603311135140-589290530820139310288112447772802849502382731101415513728021.51%4158978.55%41534280654.67%1402267552.41%740138853.31%2001137719156161053525
198982412303672319254654118110145215112526412312022201681293911031957689505119989211250382481282966227571086615363788321.96%3706881.62%21487275953.90%1390261953.07%739134355.03%2053141718706141053538
199082363603412280281-141211801001148149-1411518024111321320862805047842110482904236779876678329221160689515284108520.73%3859774.81%21497281353.22%1385263552.56%729135153.96%2042140718596111046532
19918233280748233729542411912042401701393141141603242167156111023375919281410611610021253381182485079243568996415073749525.40%4379578.26%21536278255.21%1513280353.98%757142453.16%1977135219496311073534
19928239290445129327023412611020201581174141131802431135153-1810129351781015106908815246981479383351242171895116383517922.51%4229278.20%41343272649.27%1452288850.28%645135547.60%1953133119606171053525
Total Saison régulière656303237032363216247422282463281751030131117913011061240328128134019251571173116767862474441368878278588117418620017660564886688399187375441762912708308169922.69%328669878.76%36120202257653.24%114772182852.58%58351096653.21%160681103115249494384354242
Séries éliminatoires
19851486000004851-3743000002126-574300000272521648911391011251114311281621338417133195295691217.39%831878.31%124749949.50%24349748.89%12923554.89%33422233010618692
19861165000004041-16330000019172532000002124-31240741140018119235411811111015318109155204541222.22%541081.48%021740753.32%20338153.28%11220853.85%2771882588614873
1987514000001017-72020000039-63120000078-12101828103520128404741014631588610110.00%27774.07%08915955.97%9617156.14%528263.41%12385112356432
1988734000002125-432100000972413000001218-662139600184722116764651520377701182528.00%30680.00%013926951.67%12623254.31%7112755.91%183128166539246
1989231670000092811113112000005844141055000003437-33292163255113230264667206225224126592092694281143530.70%1212083.47%142980453.36%40979351.58%20538053.95%568385531176300151
199011650000034340523000001719-26420000017152123463970015712029391991021300919919948918.75%42978.57%020035356.66%18735652.53%9117252.91%2761942488213971
199195400000343404310000013103523000002124-31034629600138112242688271212889413315239923.08%611575.41%216430054.67%18135950.42%8716253.70%2091392377412158
1992523000001819-132100000111012020000079-2418335100341011323141491117160649618422.22%30776.67%16915245.39%9719250.52%428549.41%10970133406631
Total Séries éliminatoires85473800000297302-543271600000151142942202200000146160-1494297543840321039488122458749831795832502804104315783778422.28%4489279.46%51554294352.80%1542298151.73%789145154.38%2082141520186561120557

Peoria Rivermen 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
1Randy Boyd71174663-16688310412114.05%96168023.66111930710002110%10.7500
2Mark Tinordi841446606144214841529.21%142189722.59818269801116037.50%00.6300
3David Volek5322295174255211119.82%790117.0078151710153142.86%01.1300
4Grant Jennings8584250136561641027.84%107188422.1741620650000000%00.5300
5Dallas Drake48143347-234796210613.21%10104921.87511162703323044.21%00.9000

Peoria Rivermen 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
1Garth Snow53291930.8813.39304562172144802200
2Curtis Joseph2514730.8743.521484008768800000
3Pat Jablonski103400.8843.72468002925000000
4Ron Tugnutt21100.8823.031190065100000
5Damian Rhodes10000.9381.33450011600000