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Peoria Rivermen
GP: 59 | W: 30 | L: 24 | OTL: 5 | P: 65
GF: 245 | GA: 238 | PP%: 25.19% | PK%: 77.12%
DG: Sebastien Chartrand | Morale : 40 | Moyenne d’équipe : 69
Prochains matchs #646 vs Milwaukee Admirals

Centre de jeu
Rochester Americans
33-18-7, 73pts
3
FINAL
5 Peoria Rivermen
30-24-5, 65pts
Team Stats
SOL1SéquenceL1
20-7-2Fiche domicile18-10-1
13-11-5Fiche domicile12-14-4
4-3-3Derniers 10 matchs6-3-1
3.91Buts par match 4.15
3.40Buts contre par match 4.03
27.92%Pourcentage en avantage numérique25.19%
75.54%Pourcentage en désavantage numérique77.12%
Peoria Rivermen
30-24-5, 65pts
5
FINAL
6 Maine Mariners
33-20-4, 70pts
Team Stats
L1SéquenceW3
18-10-1Fiche domicile20-8-2
12-14-4Fiche domicile13-12-2
6-3-1Derniers 10 matchs5-4-1
4.15Buts par match 3.44
4.03Buts contre par match 3.28
25.19%Pourcentage en avantage numérique23.25%
77.12%Pourcentage en désavantage numérique82.64%
Peoria Rivermen
30-24-5, 65pts
Jour 97
Milwaukee Admirals
26-26-5, 57pts
Statistiques d’équipe
L1SéquenceL2
18-10-1Fiche domicile16-10-3
12-14-4Fiche visiteur10-16-2
6-3-110 derniers matchs4-6-0
4.15Buts par match 3.46
4.03Buts contre par match 3.46
25.19%Pourcentage en avantage numérique24.63%
77.12%Pourcentage en désavantage numérique75.77%
Peoria Rivermen
30-24-5, 65pts
Jour 99
Providence Bruins
32-23-3, 67pts
Statistiques d’équipe
L1SéquenceL2
18-10-1Fiche domicile16-12-1
12-14-4Fiche visiteur16-11-2
6-3-110 derniers matchs4-5-1
4.15Buts par match 3.69
4.03Buts contre par match 3.69
25.19%Pourcentage en avantage numérique20.14%
77.12%Pourcentage en désavantage numérique77.70%
Fort Wayne Komets
22-30-6, 50pts
Jour 100
Peoria Rivermen
30-24-5, 65pts
Statistiques d’équipe
L2SéquenceL1
11-16-3Fiche domicile18-10-1
11-14-3Fiche visiteur12-14-4
4-5-110 derniers matchs6-3-1
3.22Buts par match 4.15
3.76Buts contre par match 4.15
18.08%Pourcentage en avantage numérique25.19%
75.40%Pourcentage en désavantage numérique77.12%
Meneurs d'équipe
Buts
Dallas Drake
29
Passes
Mark Tinordi
49
Points
Bobby Holik
75
Plus/Moins
Philippe Boucher
27
Victoires
Garth Snow
17
Pourcentage d’arrêts
Pat Jablonski
0.883

Statistiques d’équipe
Buts pour
245
4.15 GFG
Tirs pour
1844
31.25 Avg
Pourcentage en avantage numérique
25.2%
68 GF
Début de zone offensive
39.1%
Buts contre
238
4.03 GAA
Tirs contre
1823
30.90 Avg
Pourcentage en désavantage numérique
77.1%%
73 GA
Début de la zone défensive
40.1%
Informations de l'équipe

Directeur généralSebastien Chartrand
EntraîneurPat Kelly
DivisionDivision 1
ConférenceConference 1
CapitaineMark Tinordi
Assistant #1Dallas Drake
Assistant #2Mikko Makela


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure18
Limite contact 43 / 250
Espoirs0


Historique d'équipe

Saison actuelle30-24-5 (65PTS)
Historique301-204-41 (0.551%)
Apparitions en séries éliminatoires 5
Historique en séries éliminatoires (W-L)34 - 26 (0.567%)
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
1Bobby Holik (R)XX99.0074456774808284767878758369737404074020178,000$
2Dallas Drake (R) (A)XX100.0072366876738380716176737566747604072022172,000$
3Dave BarrXX100.00704078737275687674717178666474040710301250,000$
4Mikko Makela (R) (A)XXX100.00702795727278777267717177596164040710261500,000$
5Doug WickenheiserXX100.00702789727474777274717175666860040700301225,000$
6Wes Walz (R)XX100.0072548774697973717571697967596404070021180,000$
7Yanic Perreault (R)X99.0065257669698080748174767170635804070020375,000$
8David VolekXX100.00642787767171667348767363696362040690251200,000$
9Zdeno Ciger (R)XX100.00652888726874697054747169675149040670223445,000$
10Dixon Ward (R)XXX100.00663874686576696663666470574744040640233250,000$
11Gino Odjick (R)XX100.0076823068807471634663636261626004063020255,000$
12Donald Brashear (R)X100.0075793968827980654760625857423804062019255,000$
13Mark Tinordi (R) (C)X100.00816442738579727340737580566262040720251600,000$
14Gord DineenX100.00715755747579827040706977526374040710283650,000$
15Grant Jennings (R)X100.00667463748078757440706977635860040700261510,000$
16Chris Tamer (R)X100.0076494869757774704062628241605704069020275,000$
17Charlie BourgeoisX100.00736550657771706638686478555964040680311500,000$
18Philippe Boucher (R)X100.0065378467697474704067727166606604067018362,500$
Rayé
1Moe LemayXXX100.00756170707581817455717173676863040700291400,000$
2Tony McKegneyXXX100.006725827370747876626770717085830407003311,000,000$
3Ron FlockhartXXX100.00622585817073738269707164665559040690301225,000$
4Lindsay CarsonXX100.00674572746765687266676871624535040650301210,000$
MOYENNE D’ÉQUIPE99.9170467072747675725770707362616104069
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
1Garth Snow (R)100.0075768385727474837984837173040760222450,000$
2Pat Jablonski100.0074737475777371797880775047040710241400,000$
Rayé
1Corrado Micalef100.0068707274686866676964614740040640301100,000$
MOYENNE D’ÉQUIPE100.007273767872727076757674565304070
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pat Kelly50505050706040CAN56225,000$


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
1Bobby HolikPeoria Rivermen (STL)C/LW5828477516360841672095614113.40%29138123.82713205322511233164155.52%208400011.0924000546
2Mark TinordiPeoria Rivermen (STL)D5922497126116015770157538814.01%88137223.26131225912090000225300%000111.0300000246
3Yanic PerreaultPeoria Rivermen (STL)C592833612280761391885011914.89%14131022.21515204821100032413158.50%188900110.9318000513
4Dallas DrakePeoria Rivermen (STL)LW/RW592931601666095621755412716.57%13129621.98910195222701132244153.85%9100110.9346000433
5Wes WalzPeoria Rivermen (STL)C/RW59233255-2380741071785211012.92%13123220.90814224118110162361048.50%86600000.8922000232
6Mikko MakelaPeoria Rivermen (STL)C/LW/RW59193554121803154164459911.59%6109818.6251116472160000722148.99%14900000.9800000224
7Philippe BoucherPeoria Rivermen (STL)D5964046278012427223498.33%77139523.6521214432070001257200%000000.6600000410
8David VolekPeoria Rivermen (STL)LW/RW5918244231003352138348413.04%599116.804482411400031104142.25%7100000.8527000022
9Gerard GallantSt-Louis BluesLW40152540118610120751374410210.95%1782820.7228103113600021251140.91%4400100.9714002313
10Zdeno CigerPeoria Rivermen (STL)LW/RW59142640-71604038119358311.76%691215.475101528155000031138.96%7700000.8800000022
11Grant JenningsPeoria Rivermen (STL)D5993039-22300484884216610.71%87127821.6761319571680000208020%000000.6100000011
12Chris TamerPeoria Rivermen (STL)D5992332-249001254680394811.25%80129021.887916472010110233000%000000.5000000101
13Dave BarrPeoria Rivermen (STL)C/RW59111728-68014101922910211.96%864210.9000013000010054.18%64600000.8700000121
14Gord DineenPeoria Rivermen (STL)D5532124-2480655529102810.34%2679114.3900036000141200%000000.6100000111
15Doug WickenheiserPeoria Rivermen (STL)C/LW598715-14093347214017.02%53365.7000000000000048.14%37600000.8900000010
16Moe LemayPeoria Rivermen (STL)C/LW/RW418715-1215222871155511.27%63929.5700044000011038.24%3400000.7600001111
17Randy BoydSt-Louis BluesD14311143203152091815.00%1333123.67011536101159000%000000.8500000010
18Charlie BourgeoisPeoria Rivermen (STL)D453693360573423111413.04%4062113.800002200009000%000000.2900000000
19Dixon WardPeoria Rivermen (STL)C/LW/RW59437-1609114612238.70%13405.7700023000000045.83%2400000.4100000000
20Donald BrashearPeoria Rivermen (STL)LW59617-3901097122591324.00%264110.8700000000000038.46%3900000.2200110000
21Gino OdjickPeoria Rivermen (STL)LW/RW4522423204221771011.76%12515.5800000000000031.58%1900000.3200000000
Statistiques d’équipe totales ou en moyenne11242684707385278925121311912071629141912.94%5371873916.6773132205579231433623237028953.96%640900440.791231113313036
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
1Garth SnowPeoria Rivermen (STL)44171830.8654.1323272116011830210.692134217120
2Pat JablonskiPeoria Rivermen (STL)2713620.8833.54127120756390200.909111742100
Statistiques d’équipe totales ou en moyenne71302450.8713.923599412351822041245959220


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
Bobby HolikPeoria Rivermen (STL)C/LW201971-01-01CZEYes225 Lbs6 ft3NoNoTrade2025-11-13NoNo12024-06-24FalseFalsePro & Farm78,000$0$0$No---------------------------Lien
Charlie BourgeoisPeoria Rivermen (STL)D311959-11-19CANNo220 Lbs6 ft4NoNoFree AgentNoNo12024-01-26FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Chris TamerPeoria Rivermen (STL)D201970-11-17USAYes212 Lbs6 ft2NoNoAssign ManuallyNoNo22024-12-23FalseFalsePro & Farm75,000$0$0$No75,000$--------75,000$--------No--------Lien
Corrado MicalefPeoria Rivermen (STL)G301961-04-20CANNo172 Lbs5 ft8NoNoN/ANoNo12024-01-03FalseFalsePro & Farm100,000$0$0$No---------------------------Lien
Dallas DrakePeoria Rivermen (STL)LW/RW221969-02-04CANYes185 Lbs6 ft0NoNoAssign ManuallyNoNo12024-06-24FalseFalsePro & Farm72,000$0$0$No---------------------------Lien
Dave BarrPeoria Rivermen (STL)C/RW301960-11-30CANNo195 Lbs6 ft1NoNoN/ANoNo12024-01-07FalseFalsePro & Farm250,000$0$0$No---------------------------Lien
David VolekPeoria Rivermen (STL)LW/RW251966-06-18CZENo185 Lbs6 ft0NoNoN/ANoNo12024-07-07FalseFalsePro & Farm200,000$0$0$No---------------------------Lien
Dixon WardPeoria Rivermen (STL)C/LW/RW231968-06-29CANYes200 Lbs6 ft0NoNoAssign ManuallyNoNo32025-08-17FalseFalsePro & Farm250,000$0$0$No250,000$250,000$-------250,000$250,000$-------NoNo-------Lien
Donald BrashearPeoria Rivermen (STL)LW191972-01-07USAYes237 Lbs6 ft3NoNoAssign ManuallyNoNo22024-12-23FalseFalsePro & Farm55,000$0$0$No55,000$--------55,000$--------No--------Lien
Doug WickenheiserPeoria Rivermen (STL)C/LW301961-03-30CANNo200 Lbs6 ft1NoNoN/ANoNo12024-01-07FalseFalsePro & Farm225,000$0$0$No---------------------------Lien
Garth SnowPeoria Rivermen (STL)G221969-06-29USAYes200 Lbs6 ft3NoNoN/ANoNo22025-01-07FalseFalsePro & Farm450,000$0$0$No450,000$--------450,000$--------No--------Lien
Gino OdjickPeoria Rivermen (STL)LW/RW201970-09-07CANYes215 Lbs6 ft3NoNoAssign ManuallyNoNo22024-12-23FalseFalsePro & Farm55,000$0$0$No55,000$--------55,000$--------No--------Lien
Gord DineenPeoria Rivermen (STL)D281962-09-21CANNo195 Lbs6 ft0NoNoN/ANoNo32025-01-07FalseFalsePro & Farm650,000$0$0$No650,000$650,000$-------650,000$650,000$-------NoNo-------Lien
Grant JenningsPeoria Rivermen (STL)D261965-05-05CANYes210 Lbs6 ft3NoNoN/ANoNo12025-08-19FalseFalsePro & Farm510,000$0$0$No---------------------------Lien
Lindsay CarsonPeoria Rivermen (STL)C/LW301960-11-21CANNo195 Lbs6 ft2NoNoN/ANoNo12024-01-07FalseFalsePro & Farm210,000$0$0$No---------------------------Lien
Mark TinordiPeoria Rivermen (STL)D251966-05-09CANYes213 Lbs6 ft4NoNoN/ANoNo12024-07-07FalseFalsePro & Farm600,000$0$0$No---------------------------Lien
Mikko MakelaPeoria Rivermen (STL)C/LW/RW261965-02-28FINYes194 Lbs6 ft1NoNoN/ANoNo12024-07-07FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Moe LemayPeoria Rivermen (STL)C/LW/RW291962-02-18CANNo185 Lbs5 ft11NoNoFree AgentNoNo12024-01-21FalseFalsePro & Farm400,000$0$0$No---------------------------Lien
Pat JablonskiPeoria Rivermen (STL)G241967-06-20USANo180 Lbs6 ft0NoNoN/ANoNo12024-07-07FalseFalsePro & Farm400,000$0$0$No---------------------------Lien
Philippe BoucherPeoria Rivermen (STL)D181973-03-24CANYes212 Lbs6 ft3NoNoAssign ManuallyNoNo32025-07-11FalseFalsePro & Farm62,500$0$0$No62,500$62,500$-------62,500$62,500$-------NoNo-------Lien
Ron FlockhartPeoria Rivermen (STL)C/LW/RW301960-10-10CANNo190 Lbs5 ft11NoNoN/ANoNo12024-01-07FalseFalsePro & Farm225,000$0$0$No---------------------------Lien
Tony McKegneyPeoria Rivermen (STL)C/LW/RW331958-02-15CANNo200 Lbs6 ft0NoNoTrade2024-06-27NoNo12024-01-26FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Wes WalzPeoria Rivermen (STL)C/RW211970-05-15CANYes180 Lbs5 ft10NoNoTrade2024-11-10NoNo12024-06-24FalseFalsePro & Farm80,000$0$0$No---------------------------Lien
Yanic PerreaultPeoria Rivermen (STL)C201971-04-04CANYes189 Lbs5 ft11NoNoTrade2025-09-05NoNo32025-07-11FalseFalsePro & Farm75,000$0$0$No75,000$75,000$-------75,000$75,000$-------NoNo-------Lien
Zdeno CigerPeoria Rivermen (STL)LW/RW221969-06-29SLOYes190 Lbs6 ft1NoNoAssign ManuallyNoNo32025-08-19FalseFalsePro & Farm445,000$0$0$No445,000$445,000$-------445,000$445,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.96199 Lbs6 ft11.56298,700$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikko MakelaBobby HolikDallas Drake35014
2Zdeno CigerYanic PerreaultWes Walz35014
3Donald BrashearDave BarrDavid Volek20023
4Dixon WardDoug WickenheiserGino Odjick10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark TinordiPhilippe Boucher40032
2Grant JenningsChris Tamer40032
3Gord DineenCharlie Bourgeois20041
4Mark TinordiPhilippe Boucher0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dallas DrakeBobby HolikMikko Makela60014
2Zdeno CigerYanic PerreaultWes Walz40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark TinordiPhilippe Boucher60023
2Chris TamerGrant Jennings40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Bobby HolikDallas Drake50041
2Yanic PerreaultWes Walz50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark TinordiPhilippe Boucher50041
2Grant JenningsChris Tamer50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Bobby Holik50050Mark TinordiPhilippe Boucher50050
2Wes Walz50050Grant JenningsChris Tamer50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Bobby HolikDallas Drake60023
2Yanic PerreaultWes Walz40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark TinordiPhilippe Boucher60023
2Grant JenningsChris Tamer40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bobby HolikYanic PerreaultDallas DrakeMark TinordiPhilippe Boucher
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bobby HolikYanic PerreaultDallas DrakeMark TinordiPhilippe Boucher
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Bobby Holik, Yanic Perreault, Dallas DrakeDavid Volek, Mikko MakelaMikko Makela
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mark Tinordi, Philippe Boucher, Chris TamerGrant JenningsChris Tamer, Grant Jennings
Tirs de pénalité
Yanic Perreault, David Volek, Dallas Drake, Wes Walz, Zdeno Ciger
Gardien
#1 : Garth Snow, #2 : Pat Jablonski
Lignes d’attaque personnalisées en prolongation
Bobby Holik, Yanic Perreault, Dallas Drake, Wes Walz, Mikko Makela, Zdeno Ciger, David Volek, Dave Barr, Dixon Ward, Donald Brashear
Lignes de défense personnalisées en prolongation
Mark Tinordi, Philippe Boucher, Chris Tamer, 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
1Adirondack Red Wings52100200252413200010015105201001001014-460.60025446900728577151545896046136212639429228932.14%18666.67%11105201154.95%1099206253.30%574106853.75%14169671413454773383
2Baltimore Skipjacks1010000026-4000000000001010000026-400.00024600728577153058960461362391318175120.00%7185.71%01105201154.95%1099206253.30%574106853.75%14169671413454773383
3Binghamton Whalers1010000035-21010000035-20000000000000.000369007285771517589604613622861819600.00%8362.50%01105201154.95%1099206253.30%574106853.75%14169671413454773383
4Fort Wayne Komets20000011880000000000002000001188030.7508122000728577156558960461362762030429111.11%15380.00%01105201154.95%1099206253.30%574106853.75%14169671413454773383
5Fredericton Express330000001248110000003212200000092761.00012233500728577151045896046136210331266012216.67%13376.92%01105201154.95%1099206253.30%574106853.75%14169671413454773383
6Hamilton Canucks84200101393094310000020911411001011921-2100.6253972111117285771529658960461362236638914336513.89%37489.19%11105201154.95%1099206253.30%574106853.75%14169671413454773383
7Hartford Wolf Pack210000101183100000106511100000053241.000111728007285771572589604613625917283515640.00%14378.57%01105201154.95%1099206253.30%574106853.75%14169671413454773383
8Indianapolis Checkers404000001223-111010000026-4303000001017-700.00012223400728577151275896046136212421517816531.25%23578.26%01105201154.95%1099206253.30%574106853.75%14169671413454773383
9Kansas City Blades302010001015-51010000037-42010100078-120.3331019290072857715865896046136211136365310220.00%16662.50%01105201154.95%1099206253.30%574106853.75%14169671413454773383
10Maine Mariners202000001012-21010000056-11010000056-100.000101828007285771560589604613627016183911436.36%9455.56%01105201154.95%1099206253.30%574106853.75%14169671413454773383
11Manitoba Moose41201000161512020000049-521001000126640.50016294500728577151145896046136213335446617635.29%20575.00%01105201154.95%1099206253.30%574106853.75%14169671413454773383
12Milwaukee Admirals4220000012120220000009542020000037-440.50012193100728577151225896046136211325465915426.67%21385.71%01105201154.95%1099206253.30%574106853.75%14169671413454773383
13New Haven Nighthawks41101010161422100100010732010001067-160.75016274300728577151225896046136212134567121523.81%25580.00%01105201154.95%1099206253.30%574106853.75%14169671413454773383
14Nova Scotia Oilers511020102321230002010151232110000089-180.80023406300728577151425896046136216151588719631.58%28678.57%01105201154.95%1099206253.30%574106853.75%14169671413454773383
15Philadelphia Phantoms211000001212021100000121200000000000020.500121931007285771568589604613626921393916743.75%12375.00%01105201154.95%1099206253.30%574106853.75%14169671413454773383
16Providence Bruins1010000023-11010000023-10000000000000.000246007285771537589604613621431223600.00%6183.33%01105201154.95%1099206253.30%574106853.75%14169671413454773383
17Rochester Americans21100000981110000005321010000045-120.50091726007285771554589604613625420262111327.27%13469.23%01105201154.95%1099206253.30%574106853.75%14169671413454773383
18Sherbrooke Canadiens10000010321000000000001000001032121.000336007285771530589604613623691612200.00%8275.00%01105201154.95%1099206253.30%574106853.75%14169671413454773383
19Springfield Indians1010000045-11010000045-10000000000000.0004812007285771524589604613623371226300.00%6350.00%01105201154.95%1099206253.30%574106853.75%14169671413454773383
20St. Catharines Saints42100010161152100001063321100000108260.75016264200728577151205896046136211736427912216.67%20385.00%01105201154.95%1099206253.30%574106853.75%14169671413454773383
Total59192405362245238729121003130124109153071402232121129-8650.5512454296741172857715184458960461362182350370710612706825.19%3197377.12%21105201154.95%1099206253.30%574106853.75%14169671413454773383
_Since Last GM Reset59192405362245238729121003130124109153071402232121129-8650.5512454296741172857715184458960461362182350370710612706825.19%3197377.12%21105201154.95%1099206253.30%574106853.75%14169671413454773383
_Vs Conference38111505142152149317750302069581121410021228391-8430.566152266418117285771511945896046136211923214526781553623.23%2054080.49%11105201154.95%1099206253.30%574106853.75%14169671413454773383
_Vs Division1747000216570-58310001032248916000113346-13130.38265111176007285771552358960461362480121181308712028.17%821779.27%11105201154.95%1099206253.30%574106853.75%14169671413454773383

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5965L124542967418441823503707106111
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5919245362245238
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2912103130124109
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
307142232121129
Derniers 10 matchs
WLOTWOTL SOWSOL
331120
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2706825.19%3197377.12%2
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
5896046136272857715
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
1105201154.95%1099206253.30%574106853.75%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
14169671413454773383


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
18Peoria Rivermen4St. Catharines Saints5LSommaire du match
217Hamilton Canucks3Peoria Rivermen2LSommaire du match
322Peoria Rivermen3Hamilton Canucks4LXSommaire du match
536St. Catharines Saints2Peoria Rivermen4WSommaire du match
750Hamilton Canucks0Peoria Rivermen6WSommaire du match
858Peoria Rivermen4Hamilton Canucks6LSommaire du match
1071Peoria Rivermen1Indianapolis Checkers5LSommaire du match
1181Peoria Rivermen6Adirondack Red Wings9LSommaire du match
1288Nova Scotia Oilers5Peoria Rivermen6WXSommaire du match
1398Peoria Rivermen6St. Catharines Saints3WSommaire du match
15107Indianapolis Checkers6Peoria Rivermen2LSommaire du match
18125Adirondack Red Wings5Peoria Rivermen4LXSommaire du match
20141St. Catharines Saints1Peoria Rivermen2WXXSommaire du match
21143Peoria Rivermen2Milwaukee Admirals3LSommaire du match
23159Philadelphia Phantoms5Peoria Rivermen3LSommaire du match
26175Peoria Rivermen6Manitoba Moose5WXSommaire du match
27181Peoria Rivermen4Fort Wayne Komets3WXXSommaire du match
29192Hamilton Canucks1Peoria Rivermen5WSommaire du match
30195Peoria Rivermen6Hamilton Canucks7LXXSommaire du match
31206Peoria Rivermen4Fort Wayne Komets5LXXSommaire du match
33217Binghamton Whalers5Peoria Rivermen3LSommaire du match
35231Kansas City Blades7Peoria Rivermen3LSommaire du match
36237Peoria Rivermen4Indianapolis Checkers6LSommaire du match
38249Peoria Rivermen5Indianapolis Checkers6LSommaire du match
39260Manitoba Moose3Peoria Rivermen2LSommaire du match
41274Peoria Rivermen2Kansas City Blades4LSommaire du match
42282New Haven Nighthawks3Peoria Rivermen4WXSommaire du match
45296Adirondack Red Wings2Peoria Rivermen6WSommaire du match
46309Peoria Rivermen5Kansas City Blades4WXSommaire du match
47319Hamilton Canucks5Peoria Rivermen7WSommaire du match
48325Peoria Rivermen7Nova Scotia Oilers5WSommaire du match
50337Peoria Rivermen7Fredericton Express1WSommaire du match
52348Peoria Rivermen6Manitoba Moose1WSommaire du match
54359Nova Scotia Oilers2Peoria Rivermen3WXXSommaire du match
56371Milwaukee Admirals2Peoria Rivermen4WSommaire du match
58384Peoria Rivermen4Rochester Americans5LSommaire du match
59393Fredericton Express2Peoria Rivermen3WSommaire du match
61406Peoria Rivermen2Fredericton Express1WSommaire du match
63414Springfield Indians5Peoria Rivermen4LSommaire du match
65430Maine Mariners6Peoria Rivermen5LSommaire du match
66438Peoria Rivermen2Baltimore Skipjacks6LSommaire du match
67449Peoria Rivermen1Nova Scotia Oilers4LSommaire du match
69458Peoria Rivermen3New Haven Nighthawks2WXXSommaire du match
70466Philadelphia Phantoms7Peoria Rivermen9WSommaire du match
72481New Haven Nighthawks4Peoria Rivermen6WSommaire du match
74492Peoria Rivermen3New Haven Nighthawks5LSommaire du match
76503Peoria Rivermen6Hamilton Canucks4WSommaire du match
77508Manitoba Moose6Peoria Rivermen2LSommaire du match
80525Peoria Rivermen5Hartford Wolf Pack3WSommaire du match
81531Adirondack Red Wings3Peoria Rivermen5WSommaire du match
82542Peoria Rivermen4Adirondack Red Wings5LXSommaire du match
84552Providence Bruins3Peoria Rivermen2LSommaire du match
86570Hartford Wolf Pack5Peoria Rivermen6WXXSommaire du match
87583Milwaukee Admirals3Peoria Rivermen5WSommaire du match
89594Peoria Rivermen1Milwaukee Admirals4LSommaire du match
90602Peoria Rivermen3Sherbrooke Canadiens2WXXSommaire du match
92615Nova Scotia Oilers5Peoria Rivermen6WXSommaire du match
94628Rochester Americans3Peoria Rivermen5WSommaire du match
96637Peoria Rivermen5Maine Mariners6LSommaire du match
97646Peoria Rivermen-Milwaukee Admirals-
99655Peoria Rivermen-Providence Bruins-
100660Fort Wayne Komets-Peoria Rivermen-
102679Indianapolis Checkers-Peoria Rivermen-
105696Sherbrooke Canadiens-Peoria Rivermen-
106708Binghamton Whalers-Peoria Rivermen-
108716Peoria Rivermen-Springfield Indians-
110732Moncton Golden Flames-Peoria Rivermen-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
111740Peoria Rivermen-St. Catharines Saints-
113752Peoria Rivermen-Philadelphia Phantoms-
114761Peoria Rivermen-St. Catharines Saints-
115767Peoria Rivermen-Binghamton Whalers-
116771Moncton Golden Flames-Peoria Rivermen-
118789Milwaukee Admirals-Peoria Rivermen-
122806Baltimore Skipjacks-Peoria Rivermen-
124822Indianapolis Checkers-Peoria Rivermen-
126833Peoria Rivermen-Philadelphia Phantoms-
127839Peoria Rivermen-Moncton Golden Flames-
128849Peoria Rivermen-Adirondack Red Wings-
130858St. Catharines Saints-Peoria Rivermen-
132873St. Catharines Saints-Peoria Rivermen-
133883Peoria Rivermen-Moncton Golden Flames-
136898Kansas City Blades-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
12 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
533,942$ 746,750$ 746,750$ 25,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 533,942$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 41 5,451$ 223,491$




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
1Randy Boyd5011233114344040665552190913.53%6591148322.92721021745232810152570%00.7600
2Mark Tinordi522119297416979771464498109710.85%6621164622.3167921596591231214420.00%10.7100
3Mikko Makela5471302113417798251542114511.35%951003818.352956852663142714547.71%00.6813
4Grant Jennings54668244312494614444417249.39%6041161121.27359112644125711640%00.5400
5Cliff Ronning242103184287415613071979013.04%41520021.4925749916877144015656.26%81.10113

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 Snow335161126250.8743.48183422210106484690940.77571
2Curtis Joseph1609446130.8863.2389794848342410920.75645
3Pat Jablonski113382270.8923.21475312125423510310.87023
4Damian Rhodes63312320.8843.4332582018615990110.8005
5Corrado Micalef136410.8694.3269400503820100.7147

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
199159192405362245238729121003130124109153071402232121129-8652454296741172857715184458960461362182350370710612706825.19%3197377.12%21105201154.95%1099206253.30%574106853.75%14169671413454773383
Total Saison régulière55125020402631251520891901188275142900101014910979141832761081140162111699298756482089373458237197186906306516859556954755618331157044537642110624262659322.58%274658478.73%32102461907953.70%96111819952.81%5007925554.10%13553931412753414870813566
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
Total Séries éliminatoires60342600000211215-431201100000110103729141500000101112-1168211385596327275559179155960957350174355974711312726222.79%3156180.63%21121213852.43%1077207451.93%569103255.14%148710111399459792396

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 Boyd60144054-126668889914.14%82142923.8281624560001010%10.7600
2Andrew Cassels35153146-3143610311812.71%1476421.86413172400064355.57%01.2000
3Mark Tinordi591332456941476010412.50%91130322.0971118680111600%00.6900
4Cliff Ronning301019290417909310.75%664421.4928102200031054.64%00.9000
5Grant Jennings60227298494543643.13%68132822.1521012430000000%00.4400

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 Snow35191310.8783.4619794211493601200
2Curtis Joseph2514730.8743.521484008768800000
3Pat Jablonski51100.9002.631600077000000
4Darrell May20100.9134.71510044601100