Zurich Lions

GP: 1 | W: 0 | L: 1 | OTL: 0 | P: 0
GF: 2 | GA: 9 | PP%: 33.33% | PK%: 50.00%
GM : Darnell Therres | Morale : 39 | Team Overall : N/A
Next Games #30 vs Tampa Scarecrows
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
1Chris VandeVelde (R)0X98.00503575687347595658504562516264633900
2Greg Rallo0X98.00463580726948606144565661557465153900
3Rob Klinkhammer (R)0X98.00593875668049596131564760516461553600
4Brayden Irwin0X100.00463575608752454736434055486262633900
5Brian O'Neill (R)0XX100.00443579765645404832434051466063713900
6Chris Cloud (R)0X98.00563561726545404630414050446063713900
7Eric Neilson0X98.00605156707451454831444055456861393900
8Jean Bourbeau0X100.00443565566853454630434051427061313900
9Landon Ferraro (R)0XX99.00503571756547435441494655495461953900
10Mike Radja0X99.00453582736845405235474053466664473900
11Cade Fairchild (R)0X100.00473576756250565330484659545862793900
12Philip Larsen (R)0X99.00593880686856635530514967535860793900
13Taylor Chorney0X100.00493576677049495230474861536261633900
14Bryan Rufenach (R)0X100.00503574676845404530404055475862793900
15David Kolomatis0X100.00463578736649495231484761535858793900
16Jake Muzzin (R)0X99.00513574657849565330484861545863793900
17Jason DeSantis (R)0X100.00493773756549535330494858566460553900
18Jeff Dimmen (R)0X100.00533869706949485030454162506464553900
Scratches
TEAM AVERAGE99.2250377369704949523447455850626262390
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
1Dan Dunn (R)100.0050505050505050505050505050503900
2Cameron Talbot (R)99.0051546377626057595858576255633900
3Scott Munroe99.0047476073616358575653527262233900
Scratches
TEAM AVERAGE99.334950586758585555555453615645390
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jay Woodcroft58636261575183CAN342400,000$


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
1Greg RalloZurich Lions (PRO)C1112-2000150320.00%12222.5001112000010052.94%1720001.7800000000
2Philip LarsenZurich Lions (PRO)D1011-200313030.00%12323.800110300002000.00%011000.8400000000
3Taylor ChorneyZurich Lions (PRO)D1011-200021000.00%11717.920000200000000.00%011001.1200000000
4Landon FerraroZurich Lions (PRO)C/RW1101-1000121050.00%01818.931011200000000.00%010001.0600000000
5Cade FairchildZurich Lions (PRO)D1000-300032100.00%01313.850000000000000.00%020000.0000000000
6Chris VandeVeldeZurich Lions (PRO)C1000-200014120.00%02020.8300002000000050.00%1221000.0000000000
7Rob KlinkhammerZurich Lions (PRO)LW1000-155500100.00%02020.580000200001000.00%070000.0000010000
8Brayden IrwinZurich Lions (PRO)C1000-100100000.00%177.6300000000000025.00%400000.0000000000
9Brian O'NeillZurich Lions (PRO)C/RW1000-300303010.00%01313.820000000000000.00%020000.0000000000
10Bryan RufenachZurich Lions (PRO)D1000000000000.00%066.950000000000000.00%000000.0000000000
11Chris CloudZurich Lions (PRO)LW1000-200100000.00%11919.85000020000000100.00%110000.0000000000
12David KolomatisZurich Lions (PRO)D1000-200211120.00%11717.920000200000000.00%010000.0000000000
13Eric NeilsonZurich Lions (PRO)RW1000-220200000.00%02020.12000020000000100.00%240000.0000000000
14Jake MuzzinZurich Lions (PRO)D1000-220223100.00%02323.280000300001000.00%001000.0000000000
15Jason DeSantisZurich Lions (PRO)D1000000010000.00%066.950000000000000.00%000000.0000000000
16Jean BourbeauZurich Lions (PRO)LW1000-300110010.00%01414.400000000000000.00%002000.0000000000
17Jeff DimmenZurich Lions (PRO)D1000-300000000.00%41111.320000000000000.00%010000.0000000000
18Mike RadjaZurich Lions (PRO)C1000-400001010.00%01616.7300000000000040.00%1050000.0000000000
Team Total or Average18235-35952014256138.00%1029716.52123226000090050.00%46306000.3400010000
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
1Cameron TalbotZurich Lions (PRO)10100.7738.11370052215000.000010000
2Scott MunroeZurich Lions (PRO)10000.76510.91220041711000.000001000
Team Total or Average20100.7699.00600093926000.000011000


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 RemainingSalary AverageSalary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap 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
Brayden IrwinZurich Lions (PRO)C243/24/1989No223 Lbs6 ft5NoNoNo2RFAPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$Link
Brian O'NeillZurich Lions (PRO)C/RW236/1/1990Yes170 Lbs5 ft9NoNoNo2RFAPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$Link
Bryan RufenachZurich Lions (PRO)D224/15/1991Yes192 Lbs6 ft0NoNoNo2ELCPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$Link
Cade FairchildZurich Lions (PRO)D221/15/1991Yes175 Lbs5 ft11NoNoNo2ELCPro & Farm875,000$875,000$875,000$875,000$0$0$No875,000$Link
Cameron TalbotZurich Lions (PRO)G237/5/1989Yes200 Lbs6 ft3NoNoNo1RFAPro & Farm900,000$900,000$900,000$900,000$0$0$NoLink
Chris CloudZurich Lions (PRO)LW2210/22/1990Yes186 Lbs5 ft11NoNoNo2ELCPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
Chris VandeVeldeZurich Lions (PRO)C243/15/1989Yes190 Lbs6 ft2NoNoNo1RFAPro & Farm850,000$850,000$850,000$850,000$0$0$NoLink
Dan DunnZurich Lions (PRO)G253/4/1988 3:57:31 PMYes215 Lbs6 ft5NoNoNo2RFAPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
David KolomatisZurich Lions (PRO)D222/25/1991No195 Lbs5 ft11NoNoNo2ELCPro & Farm538,333$538,333$538,333$538,333$0$0$No538,333$Link
Eric NeilsonZurich Lions (PRO)RW268/18/1986No210 Lbs6 ft1NoNoNo2RFAPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$Link
Greg RalloZurich Lions (PRO)C298/26/1983No195 Lbs6 ft0NoNoNo1UFAPro & Farm550,000$550,000$550,000$550,000$0$0$NoLink
Jake MuzzinZurich Lions (PRO)D222/21/1991Yes213 Lbs6 ft2NoNoNo1ELCPro & Farm900,000$900,000$900,000$900,000$0$0$NoLink
Jason DeSantisZurich Lions (PRO)D253/9/1988Yes187 Lbs5 ft11NoNoNo2RFAPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
Jean BourbeauZurich Lions (PRO)LW2712/13/1985No200 Lbs6 ft0NoNoNo2RFAPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
Jeff DimmenZurich Lions (PRO)D248/28/1988Yes195 Lbs6 ft0NoNoNo2RFAPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
Landon FerraroZurich Lions (PRO)C/RW198/8/1993Yes174 Lbs6 ft0NoNoNo3ELCPro & Farm870,000$870,000$870,000$870,000$0$0$No870,000$870,000$Link
Mike RadjaZurich Lions (PRO)C263/7/1987No190 Lbs6 ft0NoNoNo2RFAPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
Philip LarsenZurich Lions (PRO)D2112/7/1991Yes190 Lbs6 ft0NoNoNo1ELCPro & Farm850,000$850,000$850,000$850,000$0$0$NoLink
Rob KlinkhammerZurich Lions (PRO)LW248/12/1988Yes214 Lbs6 ft3NoNoNo1RFAPro & Farm525,000$525,000$525,000$525,000$0$0$NoLink
Scott MunroeZurich Lions (PRO)G291/20/1984No210 Lbs6 ft2NoNoNo1UFAPro & Farm525,000$525,000$525,000$525,000$0$0$NoLink
Taylor ChorneyZurich Lions (PRO)D244/27/1989No189 Lbs6 ft1NoNoNo1RFAPro & Farm735,000$735,000$735,000$735,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2123.95196 Lbs6 ft11.67577,063$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Rob KlinkhammerGreg RalloLandon Ferraro40122
2Chris CloudChris VandeVeldeEric Neilson30122
3Jean BourbeauMike RadjaBrian O'Neill20122
4Greg RalloBrayden IrwinRob Klinkhammer10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Philip LarsenJake Muzzin40122
2David KolomatisTaylor Chorney30122
3Jeff DimmenCade Fairchild20122
4Jason DeSantisBryan Rufenach10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Rob KlinkhammerGreg RalloLandon Ferraro60122
2Chris CloudChris VandeVeldeEric Neilson40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Philip LarsenJake Muzzin60122
2David KolomatisTaylor Chorney40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Greg RalloRob Klinkhammer60122
2Chris VandeVeldeLandon Ferraro40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Philip LarsenJake Muzzin60122
2David KolomatisTaylor Chorney40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Greg Rallo60122Philip LarsenJake Muzzin60122
2Rob Klinkhammer40122David KolomatisTaylor Chorney40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Greg RalloRob Klinkhammer60122
2Chris VandeVeldeLandon Ferraro40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Philip LarsenJake Muzzin60122
2David KolomatisTaylor Chorney40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Rob KlinkhammerGreg RalloLandon FerraroPhilip LarsenJake Muzzin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Rob KlinkhammerGreg RalloLandon FerraroPhilip LarsenJake Muzzin
Extra Forwards
Normal PowerPlayPenalty Kill
Mike Radja, Brayden Irwin, Brian O'NeillMike Radja, Brayden IrwinBrian O'Neill
Extra Defensemen
Normal PowerPlayPenalty Kill
Jeff Dimmen, Cade Fairchild, Jason DeSantisJeff DimmenCade Fairchild, Jason DeSantis
Penalty Shots
Greg Rallo, Rob Klinkhammer, Chris VandeVelde, Landon Ferraro, Eric Neilson
Goalie
#1 : Cameron Talbot, #2 : Scott Munroe, #3 : Dan Dunn


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
1Oslo Bulldogs1010000029-71010000029-70000000000000.000235001100258134039109203133.33%2150.00%071546.67%101566.67%61637.50%2011237168
Total1010000029-71010000029-70000000000000.000235001100258134039109203133.33%2150.00%071546.67%101566.67%61637.50%2011237168
_Since Last GM Reset1010000029-71010000029-70000000000000.000235001100258134039109203133.33%2150.00%071546.67%101566.67%61637.50%2011237168
_Vs Conference1010000029-71010000029-70000000000000.000235001100258134039109203133.33%2150.00%071546.67%101566.67%61637.50%2011237168

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
10L123525391092000
All Games
GPWLOTWOTL SOWSOLGFGA
101000029
Home Games
GPWLOTWOTL SOWSOLGFGA
101000029
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
010000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3133.33%2150.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
813401100
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
71546.67%101566.67%61637.50%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2011237168


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
2 - 2018-05-1611Oslo Bulldogs9Zurich Lions2LBoxScore
3 - 2018-05-1730Zurich Lions-Tampa Scarecrows-
5 - 2018-05-1944Zurich Lions-Oslo Bulldogs-
6 - 2018-05-2054Houston Sting-Zurich Lions-



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
1 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,211,833$ 1,211,833$ 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$ 6 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