St. John's Sharks

GP: 5 | W: 1 | L: 4 | OTL: 0 | P: 2
GF: 15 | GA: 22 | PP%: 20.00% | PK%: 80.00%
GM : Joel Copeland | Morale : 36 | Team Overall : N/A
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
1Lane MacDermid (R)0X100.00615954727854615630514555495858793700
2Ryan White0X100.00818956686951465964544466506060713800
3Scott Parse0X100.00493664696552466233505459576865393700
4Zac Dalpe (R)0XXX100.00493579707248615944535357545861793700
5John Armstrong0X100.00544163638054465041464254516057713700
6Kyle Rogers0X100.00463779668254464633444151456861393700
7Martin St. Pierre0X100.00493571756054556345654755537065313700
8Matt Pope0X100.00483575737048455031464454486862393700
9Phil Varone (R)0X100.00483575746252576145604758525647873700
10Ryan Duncan0X100.00453578805548485930544954536664473700
11Shayne Wiebe (R)0X100.00443581746245405330484051465662873700
12Willie Coetzee (R)0X100.00453578766348515130474455505657873700
13Brett Flemming (R)0X100.00543565706445404730404255505461953800
14Chris Breen (R)0X100.00503575609048564730424562495853793700
15David Warsofsky (R)0X100.00443578715648535130474459525652873700
16Jace Coyle (R)0X100.00443582696445404530404059495662873700
17Jyri Niemi (R)0X100.00463578607748434530424761515652873700
18Patrick Wellar0X100.00615354608053474731434460497059313700
Scratches
1Peter Regin0X100.00523579687556476364595263586465553800
2A.J. Jenks (R)0X100.00483576667546435230474355485652873500
3C.J. Stretch (R)0X100.00473577736645405335484053465862793500
4Adam Almquist (R)0X100.00505050505050505050505050505050503500
5Olivier Malka (R)0X81.36513570696345404530404055485662872800
TEAM AVERAGE99.1951407169694948533749455750605969360
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
1Joe Fallon100.0045576777625855545354626662473700
2John Muse (R)100.0048456361645757606152496048713700
3Fredrik Petterson (R)100.0050505050505050505050505050503700
Scratches
1Joe Cannata (R)100.0045456569604848565345485662873500
TEAM AVERAGE100.004749616459535355545052585664370
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Curt Fraser66656766827985USA522400,000$


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
1Ryan DuncanSt. John's Sharks (WSH)RW524600045941522.22%08216.49022115000000050.00%6172001.4600000010
2Ryan WhiteSt. John's Sharks (WSH)C52351171581082825.00%47915.9400000000171048.78%4194001.2500111001
3Scott ParseSt. John's Sharks (WSH)LW5235-3201161251116.67%18216.53022316000020033.33%3132001.2100000000
4Zac DalpeSt. John's Sharks (WSH)C/LW/RW5314-30064104430.00%37915.89202316000000050.00%6163001.0100000000
5Martin St. PierreSt. John's Sharks (WSH)C5044-140563270.00%010120.250221150000140055.56%4595000.7900000000
6David WarsofskySt. John's Sharks (WSH)D5213-2000843450.00%310320.6210121700008000.00%044000.5800000100
7Peter ReginSt. John's Sharks (WSH)C4022-660563230.00%08822.08011014000080050.94%5332000.4500000000
8Brett FlemmingSt. John's Sharks (WSH)D5022-355451210.00%29619.2501101600008000.00%005000.4200001000
9Chris BreenSt. John's Sharks (WSH)D5202-100710222100.00%311122.36101115000015000.00%017000.3600000000
10Jyri NiemiSt. John's Sharks (WSH)D5112-5002683212.50%27615.290000000000000.00%025000.5200000000
11Matt PopeSt. John's Sharks (WSH)RW5022-2005594110.00%37415.000000000000000.00%353000.5300000000
12Phil VaroneSt. John's Sharks (WSH)C5101-3007650720.00%15410.9400000000190057.14%2153000.3700000000
13Willie CoetzeeSt. John's Sharks (WSH)RW5011-100323110.00%1367.320000000000000.00%052000.5500000000
14Lane MacDermidSt. John's Sharks (WSH)LW5000-120940100.00%08717.57000015000040050.00%214000.0000000000
15Jace CoyleSt. John's Sharks (WSH)D5000-500045210.00%87414.940000000004000.00%002000.0000000000
16John ArmstrongSt. John's Sharks (WSH)C5000-240413100.00%3265.2800002000000050.00%620000.0000000000
17Kyle RogersSt. John's Sharks (WSH)RW5000000100000.00%051.1500000000000033.33%300000.0000000000
18Olivier MalkaSt. John's Sharks (WSH)D4000120320000.00%1153.930000000000000.00%000000.0000000000
19Patrick WellarSt. John's Sharks (WSH)D5000-2801164000.00%612224.5200011500009000.00%024000.0000000000
20Shayne WiebeSt. John's Sharks (WSH)LW5000-200053020.00%07414.800000000000000.00%231000.0000000000
Team Total or Average98152439-4050209510192387916.30%41147415.054812121610002961050.26%1919758000.5300112111
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
1Joe FallonSt. John's Sharks (WSH)51300.7894.5326500209551000.000050000
2John MuseSt. John's Sharks (WSH)10100.8003.5334002108000.000005000
Team Total or Average61400.7904.40300002210559000.000055000


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
A.J. JenksSt. John's Sharks (WSH)LW216/27/1992Yes201 Lbs6 ft2NoNoNo2ELCPro & Farm875,000$875,000$875,000$875,000$0$0$No875,000$Link
Adam AlmquistSt. John's Sharks (WSH)D222/27/1991 5:43:24 PMYes174 Lbs5 ft11NoNoNo2ELCPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
Brett FlemmingSt. John's Sharks (WSH)D202/26/1993Yes184 Lbs5 ft11NoNoNo3ELCPro & Farm558,333$558,333$558,333$558,333$0$0$No558,333$558,333$Link
C.J. StretchSt. John's Sharks (WSH)C218/3/1991Yes195 Lbs5 ft11NoNoNo2ELCPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
Chris BreenSt. John's Sharks (WSH)D226/29/1991Yes227 Lbs6 ft6NoNoNo2ELCPro & Farm543,333$543,333$543,333$543,333$0$0$No543,333$Link
David WarsofskySt. John's Sharks (WSH)D215/30/1992Yes170 Lbs5 ft9NoNoNo3ELCPro & Farm875,000$875,000$875,000$875,000$0$0$No875,000$875,000$Link
Fredrik PettersonSt. John's Sharks (WSH)G217/23/1991 1:11:33 AMYes190 Lbs6 ft0NoNoNo2ELCPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
Jace CoyleSt. John's Sharks (WSH)D215/24/1992Yes185 Lbs5 ft11NoNoNo2ELCPro & Farm536,666$536,666$536,666$536,666$0$0$No536,666$Link
Joe CannataSt. John's Sharks (WSH)G211/2/1992Yes200 Lbs6 ft1NoNoNo2ELCPro & Farm400,000$400,000$0$0$No400,000$Link
Joe FallonSt. John's Sharks (WSH)G262/1/1987No190 Lbs6 ft3NoNoNo2RFAPro & Farm400,000$400,000$0$0$No400,000$Link
John ArmstrongSt. John's Sharks (WSH)C232/26/1990No215 Lbs6 ft3NoNoNo3RFAPro & Farm600,000$600,000$0$0$No600,000$600,000$Link
John MuseSt. John's Sharks (WSH)G228/1/1990Yes175 Lbs5 ft11NoNoNo3ELCPro & Farm725,000$725,000$725,000$725,000$0$0$No725,000$725,000$Link
Jyri NiemiSt. John's Sharks (WSH)D216/15/1992Yes210 Lbs6 ft2NoNoNo2ELCPro & Farm700,000$700,000$700,000$700,000$0$0$No700,000$Link
Kyle RogersSt. John's Sharks (WSH)RW2612/20/1986No220 Lbs6 ft3NoNoNo2RFAPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$Link
Lane MacDermidSt. John's Sharks (WSH)LW218/25/1991Yes205 Lbs6 ft3NoNoNo1ELCPro & Farm603,333$603,333$603,333$603,333$0$0$NoLink
Martin St. PierreSt. John's Sharks (WSH)C278/11/1985No187 Lbs5 ft9NoNoNo2RFAPro & Farm450,000$450,000$450,000$450,000$0$0$No450,000$Link
Matt PopeSt. John's Sharks (WSH)RW268/5/1986No185 Lbs6 ft1NoNoNo2RFAPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$Link
Olivier MalkaSt. John's Sharks (WSH)D215/30/1992Yes192 Lbs5 ft10NoNoNo2ELCPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
Patrick WellarSt. John's Sharks (WSH)D2712/4/1985No210 Lbs6 ft3NoNoNo2RFAPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$Link
Peter ReginSt. John's Sharks (WSH)C254/16/1988No200 Lbs6 ft2NoNoNo1RFAPro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLink
Phil VaroneSt. John's Sharks (WSH)C2012/4/1992Yes186 Lbs5 ft10NoNoNo2ELCPro & Farm400,000$400,000$0$0$No400,000$Link
Ryan DuncanSt. John's Sharks (WSH)RW257/14/1987No170 Lbs5 ft7NoNoNo2RFAPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
Ryan WhiteSt. John's Sharks (WSH)C233/17/1990No193 Lbs6 ft0NoNoNo1RFAPro & Farm625,000$625,000$625,000$625,000$0$0$NoLink
Scott ParseSt. John's Sharks (WSH)LW269/5/1986No189 Lbs5 ft11NoNoNo1RFAPro & Farm900,000$900,000$900,000$900,000$0$0$NoLink
Shayne WiebeSt. John's Sharks (WSH)LW211/23/1992Yes185 Lbs5 ft10NoNoNo2ELCPro & Farm400,000$400,000$400,000$400,000$0$0$No400,000$
Willie CoetzeeSt. John's Sharks (WSH)RW2011/7/1992Yes188 Lbs5 ft10NoNoNo3ELCPro & Farm531,111$531,111$531,111$531,111$0$0$No531,111$531,111$Link
Zac DalpeSt. John's Sharks (WSH)C/LW/RW2111/1/1991Yes195 Lbs6 ft1NoNoNo2ELCPro & Farm875,000$875,000$875,000$875,000$0$0$No875,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2722.63193 Lbs6 ft02.04562,881$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Scott ParseMartin St. PierreZac Dalpe40122
2Lane MacDermidRyan WhiteRyan Duncan30122
3Shayne WiebePhil VaroneMatt Pope20122
4Martin St. PierreJohn ArmstrongWillie Coetzee10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Chris BreenPatrick Wellar40122
2David WarsofskyJyri Niemi30122
3Brett FlemmingJace Coyle20122
4Chris BreenPatrick Wellar10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Scott ParseMartin St. PierreZac Dalpe60122
2Lane MacDermidRyan WhiteRyan Duncan40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Chris BreenPatrick Wellar60122
2David WarsofskyJyri Niemi40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Martin St. PierreRyan White60122
2Scott ParsePhil Varone40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Chris BreenPatrick Wellar60122
2David WarsofskyJyri Niemi40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Martin St. Pierre60122Chris BreenPatrick Wellar60122
2Ryan White40122David WarsofskyJyri Niemi40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Martin St. PierreRyan White60122
2Scott ParsePhil Varone40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Chris BreenPatrick Wellar60122
2David WarsofskyJyri Niemi40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Scott ParseMartin St. PierreZac DalpeChris BreenPatrick Wellar
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Scott ParseMartin St. PierreZac DalpeChris BreenPatrick Wellar
Extra Forwards
Normal PowerPlayPenalty Kill
Kyle Rogers, John Armstrong, Matt PopeKyle Rogers, John ArmstrongMatt Pope
Extra Defensemen
Normal PowerPlayPenalty Kill
Brett Flemming, Jace Coyle, David WarsofskyBrett FlemmingJace Coyle, David Warsofsky
Penalty Shots
Martin St. Pierre, Ryan White, Scott Parse, Phil Varone, Zac Dalpe
Goalie
#1 : Joe Fallon, #2 : John Muse, #3 : Fredrik Petterson


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
1Chicago Icehogs1010000025-3000000000001010000025-300.00024600276016174233024108222150.00%40100.00%0265844.83%326450.00%386955.07%11672103408041
2Great Lakes Mechanics1010000046-21010000046-20000000000000.000461000276019174233023111116000.00%3233.33%0265844.83%326450.00%386955.07%11672103408041
3Houston Sting1010000024-2000000000001010000024-200.00023500276022174233021711176116.67%3166.67%0265844.83%326450.00%386955.07%11672103408041
4Long Island Cobras21100000770110000005321010000024-220.500711180027603517423303713204012216.67%50100.00%0265844.83%326450.00%386955.07%11672103408041
Total514000001522-72110000099030300000613-720.20015243900276092174233010541509520420.00%15380.00%0265844.83%326450.00%386955.07%11672103408041
_Since Last GM Reset514000001522-72110000099030300000613-720.20015243900276092174233010541509520420.00%15380.00%0265844.83%326450.00%386955.07%11672103408041
_Vs Conference514000001522-72110000099030300000613-720.20015243900276092174233010541509520420.00%15380.00%0265844.83%326450.00%386955.07%11672103408041
_Vs Division314000001113-2211000009901030000024-220.3331117280027605417423306024315612216.67%8275.00%0265844.83%326450.00%386955.07%11672103408041

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
52L31524399210541509500
All Games
GPWLOTWOTL SOWSOLGFGA
51400001522
Home Games
GPWLOTWOTL SOWSOLGFGA
211000099
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3030000613
Last 10 Games
WLOTWOTL SOWSOL
140000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
20420.00%15380.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
17423302760
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
265844.83%326450.00%386955.07%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
11672103408041


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 - 2018-05-154St. John's Sharks2Houston Sting4LBoxScore
2 - 2018-05-1619Long Island Cobras3St. John's Sharks5WBoxScore
4 - 2018-05-1839St. John's Sharks2Chicago Icehogs5LBoxScore
6 - 2018-05-2053St. John's Sharks2Long Island Cobras4LBoxScore
7 - 2018-05-2158Great Lakes Mechanics6St. John's Sharks4LBoxScore



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$ 1,519,777$ 1,339,777$ 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$




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