Wolves

GP: 5 | W: 2 | L: 3 | OTL: 0 | P: 4
GF: 5 | GA: 8 | PP%: 13.04% | PK%: 85.00%
GM : Todd James | Morale : 50 | Team Overall : 59
Next Games vs Griffins
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
1Nic DowdX98.007943857766578061795257822558586550630
2Colin SmithX100.007063876663838961766156615344446350600
3Alexander NylanderXX97.007368847268727659506054625144446150590
4Ryan Hitchcock (R)XX100.007463996563545264806461645844446450590
5Giovanni Fiore (R)XX100.007571856371747957504961635844446250580
6Lane Pederson (R)X100.007670906670737856705058635544446150580
7Sam VigneaultX100.007878796578656856705156645344446050580
8Justin Scott (R)XX100.007374726274738050634747604544445550550
9Joseph LaBateX100.006474416574596152654654565144445450530
10Chris ButlerX97.007672856872788557254846694468695950640
11Chad RuhwedelX97.008044887266697059254748672556566050620
12Jamie McBainX97.007368856568667051254741603944445450570
13Zac LeslieX97.007264896664616645253440583844445050540
Scratches
TEAM AVERAGE98.69746682676968735654505264464848595058
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
1Jared Coreau100.00647493936368596963623045456550650
2Ville Husso100.00655873816871627071693044446650650
Scratches
TEAM AVERAGE100.0065668387667061706766304545665065
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kevin McCarthy52736841454654CAN584650,000$


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 NamePOS GP 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
1Chris ButlerWolves (STL)D513414012270014.29%612825.79112615000112000.00%000000.6200000010
2Chad RuhwedelWolves (STL)D512312012550020.00%312124.36112115000010000.00%000000.4900000001
3Colin SmithWolves (STL)C5033-140389000.00%06212.5600000000000055.74%6100000.9611000100
4Nic DowdWolves (STL)C502200092010000.00%08216.49000313000000062.03%7900000.4901000000
5Alexander NylanderWolves (STL)LW/RW5112-400171980012.50%110721.48112219000000066.67%600000.3700000001
6Justin ScottWolves (STL)C/RW5202-11406660033.33%16212.4800000000001025.00%400000.6400000001
7Ryan HitchcockWolves (STL)C/LW5101-1004590011.11%07114.37000213000000033.33%300000.2801000000
8Sam VigneaultWolves (STL)C5101-12017530033.33%26613.36000170000110046.15%1300000.3000000001
9Jamie McBainWolves (STL)D5000-420953000.00%511623.32000215000012000.00%000000.0000000000
10Giovanni FioreWolves (STL)LW/RW5000-120254000.00%17114.36000013000000050.00%200000.0000000000
11Joseph LaBateWolves (STL)C5000000000000.00%191.830000400000000.00%000000.0000000000
12Lane PedersonWolves (STL)C5000-340516000.00%4499.990003700006000.00%000000.0000000000
13Zac LeslieWolves (STL)D5000-440211000.00%211322.77000016000012000.00%000000.0000000000
Team Total or Average6571118-18380988271009.86%26106516.40336201430001661057.14%16800000.3413000114
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
1Jared CoreauWolves (STL)52300.8572.563052013910001.000450000
Team Total or Average52300.8572.563052013910001.000450000


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 CONT StatusType Current Salary Salary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Alexander NylanderWolves (STL)LW/RW201998-03-01No180 Lbs6 ft1NoNoNo2ELCPro & Farm950,000$950,000$Link
Chad RuhwedelWolves (STL)D281990-05-07No191 Lbs5 ft11NoNoNo3UFAPro & Farm800,000$800,000$800,000$Link
Chris ButlerWolves (STL)D311986-10-27No196 Lbs6 ft1NoNoNo1UFAPro & Farm500,000$Link
Colin SmithWolves (STL)C251993-06-20No175 Lbs5 ft10NoNoNo3ELCPro & Farm700,000$700,000$700,000$Link
Giovanni FioreWolves (STL)LW/RW221996-08-13Yes194 Lbs6 ft1NoNoNo3ELCPro & Farm925,000$925,000$925,000$Link
Jamie McBainWolves (STL)D301988-02-25No180 Lbs6 ft1NoNoNo2UFAPro & Farm500,000$500,000$Link
Jared CoreauWolves (STL)D261991-11-05No235 Lbs6 ft4NoNoNo4ELCPro & Farm625,000$625,000$625,000$625,000$Link
Joseph LaBateWolves (STL)C251993-04-16No210 Lbs6 ft5NoNoNo1ELCPro & Farm650,000$Link
Justin ScottWolves (STL)C/RW231995-08-13Yes202 Lbs6 ft1NoNoNo3ELCPro & Farm800,000$800,000$800,000$Link
Lane PedersonWolves (STL)C211997-08-04Yes192 Lbs6 ft1NoNoNo3ELCPro & Farm925,000$925,000$925,000$Link
Nic DowdWolves (STL)C281990-05-26No196 Lbs6 ft2NoNoNo2UFAPro & Farm650,000$650,000$Link
Ryan HitchcockWolves (STL)C/LW221996-03-30Yes176 Lbs5 ft10NoNoNo3ELCPro & Farm1,000,000$1,000,000$1,000,000$Link
Sam VigneaultWolves (STL)C231995-09-07No203 Lbs6 ft5NoNoNo3ELCPro & Farm925,000$925,000$925,000$Link
Ville HussoWolves (STL)D231995-02-05No205 Lbs6 ft3NoNoNo2ELCPro & Farm650,000$650,000$Link
Zac LeslieWolves (STL)D241994-01-30No174 Lbs6 ft0NoNoNo1ELCPro & Farm500,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1524.73194 Lbs6 ft12.40740,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alexander Nylander40122
2Ryan HitchcockNic DowdGiovanni Fiore30122
3Colin SmithJustin Scott20122
4Sam VigneaultNic Dowd10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Chris ButlerChad Ruhwedel40122
2Jamie McBainZac Leslie30122
3Chris ButlerChad Ruhwedel20122
4Jamie McBainZac Leslie10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alexander Nylander60122
2Ryan HitchcockNic DowdGiovanni Fiore40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Chris ButlerChad Ruhwedel60122
2Jamie McBainZac Leslie40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Nic DowdColin Smith40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Chris ButlerChad Ruhwedel60122
2Jamie McBainZac Leslie40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Chris ButlerChad Ruhwedel60122
240122Jamie McBainZac Leslie40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Nic DowdColin Smith40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Chris ButlerChad Ruhwedel60122
2Jamie McBainZac Leslie40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Alexander NylanderChris ButlerChad Ruhwedel
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Alexander NylanderChris ButlerChad Ruhwedel
Extra Forwards
Normal PowerPlayPenalty Kill
Lane Pederson, Joseph LaBate, Sam VigneaultLane Pederson, Joseph LaBateSam Vigneault
Extra Defensemen
Normal PowerPlayPenalty Kill
Chris Butler, Chad Ruhwedel, Jamie McBainChris ButlerChad Ruhwedel, Jamie McBain
Penalty Shots
, , Nic Dowd, Colin Smith, Ryan Hitchcock
Goalie
#1 : Jared Coreau, #2 : Ville Husso


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
1Griffins1010000013-21010000013-20000000000000.000123005401244021245186819500.00%40100.00%06913850.00%7213254.55%427655.26%12585111386734
2Icehogs10000010431100000104310000000000021.00046100054012040212451318218112.50%40100.00%16913850.00%7213254.55%427655.26%12585111386734
3Rampage1010000023-1000000000001010000023-100.00024600540119402124517412194125.00%5260.00%06913850.00%7213254.55%427655.26%12585111386734
Since Last GM Reset513000101013-33020001058-32110000055040.40010182800540186402124591274211323313.04%20385.00%16913850.00%7213254.55%427655.26%12585111386734
Total513000101013-33020001058-32110000055040.40010182800540186402124591274211323313.04%20385.00%16913850.00%7213254.55%427655.26%12585111386734
Vs Conference513000101013-33020001058-32110000055040.40010182800540186402124591274211323313.04%20385.00%16913850.00%7213254.55%427655.26%12585111386734
Vs Division2130001034-11020001002-21110000032141.000369005401234021245431614546116.67%7185.71%06913850.00%7213254.55%427655.26%12585111386734
8Wolves2110000034-11010000002-21100000032120.500369005401234021245431614546116.67%7185.71%06913850.00%7213254.55%427655.26%12585111386734

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
54L11018288691274211300
All Games
GPWLOTWOTL SOWSOLGFGA
51300101013
Home Games
GPWLOTWOTL SOWSOLGFGA
302001058
Visitor Games
GPWLOTWOTL SOWSOLGFGA
211000055
Last 10 Games
WLOTWOTL SOWSOL
130010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
23313.04%20385.00%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
40212455401
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
6913850.00%7213254.55%427655.26%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
12585111386734


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 - 2018-09-178Griffins3Wolves1LBoxScore
2 - 2018-09-1829Wolves2Rampage3LBoxScore
3 - 2018-09-1941Wolves3Wolves2WBoxScore
4 - 2018-09-2052Icehogs3Wolves4WXXBoxScore
6 - 2018-09-2269Wolves2Wolves0LBoxScore
8 - 2018-09-2488Wolves-Admirals-
9 - 2018-09-25102Rampage-Wolves-
12 - 2018-09-28130Admirals-Wolves-
Trade Deadline --- Trades can’t be done after this day is simulated!
13 - 2018-09-29143Wolves-Griffins-
14 - 2018-09-30152Wolves-Icehogs-



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
2 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
1,110,000$ 1,110,000$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
0$ 0$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 8 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