Peoria Riverman

GP: 14 | W: 6 | L: 6 | OTL: 2 | P: 14
GF: 64 | GA: 62 | PP%: 34.29% | PK%: 62.07%
GM : Derek Robichaud | Morale : 65 | Team Overall : 58
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Filter Tips
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
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Zach SanfordX100.007154897372636260566564702550506746610
2Gabriel DumontXX100.006665687065687065806261645858596345610
3Dmitry Sokolov (R)XX100.008478986678757959505162685944446545600
4Matthew PecaX100.007142967661577355596458712548486450600
5Dillon Dube (R)XX100.006341947666567858436356642546466254590
6Michael CarconeXX100.006762796362778163506062605944446442590
7Valentin ZykovXX100.007344977180557169326058522546466253590
8Max McCormickX100.008044906967508559255058632547476148570
9Kevin RoyXXX100.006861847161596155505947594545455746550
10Jeffrey Truchon-Viel (R)X100.006871616471737953504754585144445643550
11Ashton SautnerX100.008044956472657457254647732556565948620
12Andy WelinskiX100.008345907375697264255148557057585951610
13Cameron SchillingX100.007469856669788554254941643955555656610
14Robbie RussoX100.007368856968808755255342624045455853600
15William Lagesson (R)X100.007876816576697453254546634444445745590
16Julian MelchioriX100.008081766881636748253445644348485448580
17Lucas JohansenX100.007267856667697549254241593944445352570
18Nolan ValleauX100.007468876568727849254340603844445346570
19Josh WesleyX100.007977836577505246253541623945455151550
Scratches
1Tyrell GoulbourneX100.006370466470778453504754565144445642550
2Mason Shaw (R)X100.007064835864575855695847604544445634540
3Alex DostieX100.007060946660586147594146614455555342530
4Michael PaliottaX100.007878776678505245253639613744445146550
TEAM AVERAGE100.00736284687065725540505062414848584758
Filter Tips
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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Charlie Lindgren99.00527290754653515848493045455356550
2Kasimir Kaskisuo100.00515974784857505655543044445451550
Scratches
1Calvin Pickard100.00475757775144435152479056565033520
TEAM AVERAGE99.6750637477485148555250504848524754
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Blaine Forsythe59577053454655CAN62160,000$


Filter Tips
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
# Player Name Team NamePOSGP 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
1Zach SanfordPeoria Riverman (STL)LW105152072014135117349.80%723223.300555150000152043.10%5884011.7200000111
2Gabriel DumontPeoria Riverman (STL)C/RW141282013220263163194419.05%1228320.252244140001121159.54%262117011.4100031110
3Robbie RussoPeoria Riverman (STL)D1441014695102033101812.12%2028520.38213824000015000.00%038000.9800010110
4Dillon DubePeoria Riverman (STL)C/RW145712-320242334172514.71%923416.74123211000031055.10%4998001.0200000011
5Dmitry SokolovPeoria Riverman (STL)LW/RW10661260014242882321.43%722522.57112316000050047.83%2367001.0600000011
6Dominik SimonBluesC/LW466124005103151919.35%29423.53022113000001043.51%13191002.5500000101
7Matthew PecaPeoria Riverman (STL)C106511-600151223101926.09%1020220.261231110001100054.78%11596001.0900000010
8Cameron SchillingPeoria Riverman (STL)D1401010-320713261380.00%1825918.53011019000015000.00%0411000.7700000000
9Curtis LazarBluesRW4527255564081212.50%47418.7102228000000066.67%3113011.8700001010
10Ashton SautnerPeoria Riverman (STL)D14257-1001121197710.53%2324417.46213215000017000.00%017000.5700000001
11Max McCormickPeoria Riverman (STL)LW1015622041217365.88%311911.9200000000190030.77%1314001.0100000000
12Michael CarconePeoria Riverman (STL)LW/RW10336-62019202251313.64%1119219.2610111100000010.00%532000.6200000001
13Andy WelinskiPeoria Riverman (STL)D10044140131218830.00%2223924.00011016000017000.00%0512000.3300000000
14Julian MelchioriPeoria Riverman (STL)D14022-311511512980.00%515911.370000200000000.00%012000.2500010000
15Valentin ZykovPeoria Riverman (STL)LW/RW10112-7001111238214.35%514614.6100001000030025.00%454000.2700000000
16Lucas JohansenPeoria Riverman (STL)D14011-220511010.00%1846.040000000000000.00%001000.2400000000
17Kevin RoyPeoria Riverman (STL)C/LW/RW7011-5007105120.00%59113.0500000000000048.84%4333000.2200000000
18Jeremy BraccoBluesRW4011000038460.00%0235.86000000000000100.00%110000.8500000000
19Jeffrey Truchon-VielPeoria Riverman (STL)LW8000-100214210.00%1465.8100012000030060.00%1001000.0000000000
20William LagessonPeoria Riverman (STL)D10000-3115374200.00%511311.340000000002000.00%002000.0000010000
21Nolan ValleauPeoria Riverman (STL)D10000-200020100.00%3656.550000000000000.00%001000.0000000000
22Josh WesleyPeoria Riverman (STL)D10000100120110.00%1202.070000000000000.00%000000.0000000000
Team Total or Average2255692148-12844020725946215827112.12%174343915.291020303018500031315252.16%7179094030.8600062476
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Charlie LindgrenPeoria Riverman (STL)104510.8754.615732044353202000.0000100100
2Kasimir KaskisuoPeoria Riverman (STL)52010.9013.90231001515184000.0000414000
Team Total or Average156520.8834.408052059504286000.00001414100


Filter Tips
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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Alex DostiePeoria Riverman (STL)C211997-04-13No165 Lbs5 ft10NoNoNo2ELCPro & Farm925,000$0$0$NoLink
Andy WelinskiPeoria Riverman (STL)D251993-04-27No206 Lbs6 ft1NoNoNo1RFAPro & Farm750,000$0$0$NoLink
Ashton SautnerPeoria Riverman (STL)D241994-05-27No195 Lbs6 ft1NoNoNo1ELCPro & Farm675,000$0$0$NoLink
Calvin PickardPeoria Riverman (STL)G261992-04-14No207 Lbs6 ft1NoNoNo2RFAPro & Farm750,000$0$0$NoLink
Cameron SchillingPeoria Riverman (STL)D291988-10-07No182 Lbs6 ft2NoNoNo1UFAPro & Farm700,000$0$0$NoLink
Charlie LindgrenPeoria Riverman (STL)G241993-12-17No190 Lbs6 ft2NoNoNo2ELCPro & Farm750,000$0$0$NoLink
Dillon DubePeoria Riverman (STL)C/RW191998-07-19Yes183 Lbs5 ft11NoNoNo2ELCPro & Farm778,333$0$0$NoLink
Dmitry SokolovPeoria Riverman (STL)LW/RW201998-04-13Yes221 Lbs5 ft11NoNoNo3ELCPro & Farm765,000$0$0$NoLink
Gabriel DumontPeoria Riverman (STL)C/RW271990-10-06No181 Lbs5 ft10NoNoNo2RFAPro & Farm700,000$0$0$NoLink
Jeffrey Truchon-VielPeoria Riverman (STL)LW211997-01-28Yes196 Lbs6 ft0NoNoNo1ELCPro & Farm575,000$0$0$NoLink
Josh WesleyPeoria Riverman (STL)D221996-04-09No205 Lbs6 ft3NoNoNo1ELCPro & Farm695,000$0$0$NoLink
Julian MelchioriPeoria Riverman (STL)D261991-12-06No214 Lbs6 ft5NoNoNo1RFAPro & Farm700,000$0$0$NoLink
Kasimir KaskisuoPeoria Riverman (STL)G241993-10-01No201 Lbs6 ft2NoNoNo1ELCPro & Farm675,000$0$0$NoLink
Kevin RoyPeoria Riverman (STL)C/LW/RW251993-05-20No174 Lbs5 ft9NoNoNo1RFAPro & Farm850,000$0$0$NoLink
Lucas JohansenPeoria Riverman (STL)D201997-11-16No176 Lbs6 ft2NoNoNo2ELCPro & Farm925,000$0$0$NoLink
Mason ShawPeoria Riverman (STL)C191998-11-02Yes180 Lbs5 ft9NoNoNo3ELCPro & Farm792,500$0$0$NoLink
Matthew PecaPeoria Riverman (STL)C251993-04-27No178 Lbs5 ft8NoNoNo1RFAPro & Farm1,300,000$0$0$NoLink
Max McCormickPeoria Riverman (STL)LW261992-05-01No188 Lbs5 ft11NoNoNo1RFAPro & Farm700,000$0$0$NoLink
Michael CarconePeoria Riverman (STL)LW/RW221996-05-18No170 Lbs5 ft10NoNoNo2ELCPro & Farm700,000$0$0$NoLink
Michael PaliottaPeoria Riverman (STL)D251993-04-05No207 Lbs6 ft4NoNoNo1RFAPro & Farm700,000$0$0$NoLink
Nolan ValleauPeoria Riverman (STL)D251992-11-15No180 Lbs6 ft1NoNoNo1RFAPro & Farm700,000$0$0$NoLink
Robbie RussoPeoria Riverman (STL)D251993-02-15No189 Lbs6 ft0NoNoNo1RFAPro & Farm700,000$0$0$NoLink
Tyrell GoulbournePeoria Riverman (STL)LW241994-01-25No195 Lbs5 ft11NoNoNo2ELCPro & Farm700,000$0$0$NoLink
Valentin ZykovPeoria Riverman (STL)LW/RW231995-05-14No224 Lbs6 ft1NoNoNo1ELCPro & Farm675,000$0$0$NoLink
William LagessonPeoria Riverman (STL)D221996-02-22Yes207 Lbs6 ft2NoNoNo2ELCPro & Farm741,666$0$0$NoLink
Zach SanfordPeoria Riverman (STL)LW231994-11-09No185 Lbs6 ft3NoNoNo2ELCPro & Farm1,500,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2623.54192 Lbs6 ft01.54785,481$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zach SanfordGabriel DumontDmitry Sokolov40122
2Michael CarconeMatthew PecaDillon Dube30122
3Valentin ZykovKevin RoyGabriel Dumont20122
4Max McCormickZach SanfordDmitry Sokolov10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ashton SautnerAndy Welinski40122
2Cameron SchillingRobbie Russo30122
3William LagessonJulian Melchiori20122
4Lucas JohansenNolan Valleau10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zach SanfordGabriel DumontDmitry Sokolov60122
2Michael CarconeMatthew PecaDillon Dube40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ashton SautnerAndy Welinski60122
2Cameron SchillingRobbie Russo40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Gabriel DumontZach Sanford60122
2Dmitry SokolovMatthew Peca40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ashton SautnerAndy Welinski60122
2Cameron SchillingRobbie Russo40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Gabriel Dumont60122Ashton SautnerAndy Welinski60122
2Zach Sanford40122Cameron SchillingRobbie Russo40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Gabriel DumontZach Sanford60122
2Dmitry SokolovMatthew Peca40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ashton SautnerAndy Welinski60122
2Cameron SchillingRobbie Russo40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Zach SanfordGabriel DumontDmitry SokolovAshton SautnerAndy Welinski
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Zach SanfordGabriel DumontDmitry SokolovAshton SautnerAndy Welinski
Extra Forwards
Normal PowerPlayPenalty Kill
Jeffrey Truchon-Viel, Valentin Zykov, Max McCormickJeffrey Truchon-Viel, Valentin ZykovMax McCormick
Extra Defensemen
Normal PowerPlayPenalty Kill
Josh Wesley, William Lagesson, Julian MelchioriJosh WesleyWilliam Lagesson, Julian Melchiori
Penalty Shots
Gabriel Dumont, Zach Sanford, Dmitry Sokolov, Matthew Peca, Michael Carcone
Goalie
#1 : Charlie Lindgren, #2 : Kasimir Kaskisuo


Filter Tips
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
OverallHomeVisitor
# VS Team 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
1Laval Rockets311001001013-320100100812-41100000021130.50010182800202617110715919015241223821619222.22%8275.00%012626747.19%13429345.73%14827753.43%284160297128262131
2Portland Pirates312000001113-2211000009901010000024-220.3331121320020261718115919015241065214466116.67%7357.14%012626747.19%13429345.73%14827753.43%284160297128262131
3Rimouski Oceanic2200000022121011000000108211000000124841.000223355002026171881591901524923030275360.00%5420.00%012626747.19%13429345.73%14827753.43%284160297128262131
4Seattle Thunderbirds31200000111011010000013-221100000107320.33311182900202617111615919015241123319546233.33%7271.43%012626747.19%13429345.73%14827753.43%284160297128262131
5Texas Stars301011001014-41000100054120100100510-530.5001018280020261711131591901524964014489444.44%20100.00%012626747.19%13429345.73%14827753.43%284160297128262131
Total14560120064622723011003336-37330010031265140.50064108172002026171505159190152452819398236351234.29%291162.07%012626747.19%13429345.73%14827753.43%284160297128262131
_Since Last GM Reset14560120064622723011003336-37330010031265140.50064108172002026171505159190152452819398236351234.29%291162.07%012626747.19%13429345.73%14827753.43%284160297128262131
_Vs Conference14560120064622723011003336-37330010031265140.50064108172002026171505159190152452819398236351234.29%291162.07%012626747.19%13429345.73%14827753.43%284160297128262131
_Vs Division23601200221210113011001082123001001248102.500223355002026171881591901524923030275360.00%5420.00%012626747.19%13429345.73%14827753.43%284160297128262131

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1414L1641081725055281939823600
All Games
GPWLOTWOTL SOWSOLGFGA
145612006462
Home Games
GPWLOTWOTL SOWSOLGFGA
72311003336
Visitor Games
GPWLOTWOTL SOWSOLGFGA
73301003126
Last 10 Games
WLOTWOTL SOWSOL
351100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
351234.29%291162.07%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
15919015242026171
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
12626747.19%13429345.73%14827753.43%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
284160297128262131


Last Played Games
Filter Tips
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2019-09-2210Peoria Riverman8Seattle Thunderbirds3WBoxScore
2 - 2019-09-2325Peoria Riverman2Texas Stars3LXBoxScore
3 - 2019-09-2430Laval Rockets7Peoria Riverman4LBoxScore
4 - 2019-09-2549Peoria Riverman12Rimouski Oceanic4WBoxScore
5 - 2019-09-2656Laval Rockets5Peoria Riverman4LXBoxScore
7 - 2019-09-2883Portland Pirates3Peoria Riverman5WBoxScore
8 - 2019-09-2994Peoria Riverman2Seattle Thunderbirds4LBoxScore
9 - 2019-09-30111Peoria Riverman2Laval Rockets1WBoxScore
10 - 2019-10-01120Portland Pirates6Peoria Riverman4LBoxScore
13 - 2019-10-04145Texas Stars4Peoria Riverman5WXBoxScore
15 - 2019-10-06163Seattle Thunderbirds3Peoria Riverman1LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
17 - 2019-10-08179Peoria Riverman3Texas Stars7LBoxScore
18 - 2019-10-09188Rimouski Oceanic8Peoria Riverman10WBoxScore
19 - 2019-10-10202Peoria Riverman2Portland Pirates4LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,042,250$ 2,017,250$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 0$ 0$




OverallHomeVisitor
Year 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