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Rivermen
GP: 0 | W: 0 | L: 0 | T: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Open | Morale : 60 | Team Overall : 60
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Team Leaders

Team Stats
Team Info

General ManagerOpen
CoachAndy Murray
DivisionPacific Conference
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team22
Farm Team22
Contract Limit44 / 45
Prospects11


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 SPAgeContractSalary
1Mike Ricci0X100.00725974667379787279737072693959067640201185,000$
2Ron Wilson0X100.00603776736173747176676572649188067640351175,000$
3Rich Sutter0X100.00817155716975756670647165677479067630283325,000$
4Gino Cavallini0X100.0068577762797776667368677067696606762029150,000$
5Nelson Emerson0X100.00553578736274767275716766693742067610241151,500$
6Rob Dimaio0X100.00684371706274746472646369633842067590231160,000$
7Tie Domi0X100.009292366475787863606159676339600675902200$
8Craig Berube0X100.0092913965757475606560596563496706759026150,000$
9Kris Draper0X100.00664480766469746487626069624057038590201120,854$
10Herb Raglan0X100.00776461637663645969615868625857067580242190,000$
11David Bruce0X100.00635269676662657063626959715245067580272135,000$
12Steve Tuttle0X100.0040309165686668676967676666484106758025150,000$
13Kelly Chase0X100.00888742637565655759565669564162067570241160,000$
14Petr Svoboda0X100.006947727371747469356956756064490676402500$
15Glen Featherstone0X100.0081755462806262604057557057454806759023125,000$
16Todd Richards0X100.006450626472747468356864616437370675802500$
17Tom Tilley0X100.0053367767676868673571566656454006758026125,000$
Scratches
1Dave Thomlinson0X100.0066426762766666646564645864383603256025150,000$
2Tony Twist0X100.008882535784676751554948684841520325302300$
3Gerald Diduck0X100.007264676578717361355958766362580326202600$
TEAM AVERAGE100.0071586566727171656164626863505406060
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 SPAgeContractSalary
1Vincent Riendeau100.00807365727255585959757549450676102500$
Scratches
1Pat Jablonski100.00727170747274687772737238470326602400$
TEAM AVERAGE100.007672687372656368667474444605064
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Andy Murray77727170848683CAN501150,000$


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
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


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 Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Craig BerubeRivermen (STL)LW267/26/1997 3:57:47 PMNo207 Lbs6 ft1NoNoNo1Pro & Farm50,000$50,000$0$0$No
Dave ThomlinsonRivermen (STL)LW257/26/1998 9:57:47 PMNo209 Lbs6 ft1NoNoNo1Pro & Farm50,000$50,000$0$0$No
David BruceRivermen (STL)LW277/27/1996 9:57:47 AMNo188 Lbs5 ft11NoNoNo2Pro & Farm135,000$135,000$0$0$No135,000$
Gerald DiduckRivermen (STL)D267/26/1997 3:57:47 PMNo211 Lbs6 ft2NoNoNo0Pro & Farm0$0$No
Gino CavalliniRivermen (STL)LW297/26/1994 9:57:47 PMNo217 Lbs6 ft1NoNoNo1Pro & Farm50,000$50,000$0$0$No
Glen FeatherstoneRivermen (STL)D237/27/2000 9:57:47 AMNo217 Lbs6 ft4NoNoNo1Pro & Farm25,000$25,000$0$0$No
Herb RaglanRivermen (STL)RW247/27/1999 3:57:47 AMNo211 Lbs6 ft0NoNoNo2Pro & Farm190,000$190,000$0$0$No190,000$
Kelly ChaseRivermen (STL)RW247/27/1999 3:57:47 AMNo203 Lbs6 ft0NoNoNo1Pro & Farm160,000$160,000$0$0$No
Kris DraperRivermen (STL)C207/27/2003 3:57:47 AMNo192 Lbs6 ft0NoNoNo1Pro & Farm120,854$120,854$0$0$No
Mike RicciRivermen (STL)C207/27/2003 3:57:47 AMNo196 Lbs6 ft0NoNoNo1Pro & Farm185,000$185,000$0$0$No
Nelson EmersonRivermen (STL)RW247/27/1999 3:57:47 AMNo178 Lbs5 ft11NoNoNo1Pro & Farm151,500$151,500$0$0$No
Pat JablonskiRivermen (STL)G247/27/1999 3:57:47 AMNo183 Lbs6 ft0NoNoNo0Pro & Farm0$0$No
Petr SvobodaRivermen (STL)D257/26/1998 9:57:47 PMNo183 Lbs6 ft1NoNoNo0Pro & Farm0$0$No
Rich SutterRivermen (STL)RW287/27/1995 3:57:47 AMNo178 Lbs5 ft11NoNoNo3Pro & Farm325,000$325,000$0$0$No325,000$325,000$
Rob DimaioRivermen (STL)C237/27/2000 9:57:47 AMNo179 Lbs5 ft10NoNoNo1Pro & Farm160,000$160,000$0$0$No
Ron WilsonRivermen (STL)C357/27/1988 9:57:47 AMNo181 Lbs5 ft9NoNoNo1Pro & Farm175,000$175,000$0$0$No
Steve TuttleRivermen (STL)RW257/26/1998 9:57:47 PMNo197 Lbs6 ft1NoNoNo1Pro & Farm50,000$50,000$0$0$No
Tie DomiRivermen (STL)RW227/26/2001 3:57:47 PMNo207 Lbs5 ft11NoNoNo0Pro & Farm0$0$No
Todd RichardsRivermen (STL)D257/26/1998 9:57:47 PMNo197 Lbs6 ft0NoNoNo0Pro & Farm0$0$No
Tom TilleyRivermen (STL)D267/26/1997 3:57:47 PMNo192 Lbs6 ft0NoNoNo1Pro & Farm25,000$25,000$0$0$No
Tony TwistRivermen (STL)LW237/27/2000 9:57:47 AMNo231 Lbs6 ft1NoNoNo0Pro & Farm0$0$No
Vincent RiendeauRivermen (STL)G257/26/1998 9:57:47 PMNo183 Lbs5 ft10NoNoNo0Pro & Farm0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2224.95197 Lbs6 ft00.8684,198$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
4Kris Draper10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL TGFGA
00000000
Home Games
GPWLOTWOTL TGFGA
00000000
Visitor Games
GPWLOTWOTL TGFGA
00000000
Last 10 Games
WLOTWOTL T
00000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
41 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 926,177$ 876,177$ 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$ 0 0$ 0$




Rivermen Stat Leaders (Regular Season)

# Player Name 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

Rivermen Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Rivermen Career Team Stats

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

Rivermen Stat Leaders (Play-Off)

# Player Name 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

Rivermen Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA