Sound Tigers

GP: 21 | W: 9 | L: 9 | OTL: 3 | P: 21
GF: 27 | GA: 32 | PP%: 14.29% | PK%: 61.54%
GM : Dan Anderson | Morale : 50 | Team Overall : 56
Next Games vs Phantoms
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
1Shane HarperX100.007944657269567959255766592545456550590
2Zack MitchellX100.00764394706857835347596465254747655059X0
3Luke Johnson (R)X100.007270766770818856705057615444446050580
4Tyler Moy (R)XX100.007971966271667150634747634544445650550
5Anton ZlobinX100.00637370675548575667545755504444150540
6Patrick SieloffX100.008175946675657145253639633744445250570
7Brian Cooper (R)X100.007469856269555747254039603744445150540
Scratches
TEAM AVERAGE100.00756483676861725246495361394545505057
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
1Tyler Parsons (R)100.00455265704144505245463044444750490
Scratches
TEAM AVERAGE100.0045526570414450524546304444475049
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
1Shane HarperSound Tigers (NYI)RW211372063610166136421039.56%131515.0400001000003231.03%29417001.2701200920
2Luke JohnsonSound Tigers (NYI)C21113146413514216121391.64%630514.5400001000000052.04%31992000.9201214144
Team Total or Average421420341277453027197631427.11%762114.7900003000003250.29%348509001.09024141064
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
Team Total or Average0.0000.0000.000


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 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
Anton ZlobinSound Tigers (NYI)LW251993-02-22No209 Lbs5 ft11NoNoNo1RFAPro & Farm500,000$Link
Brian CooperSound Tigers (NYI)D251993-10-31Yes197 Lbs5 ft10NoNoNo2RFAPro & Farm500,000$500,000$Link
Luke JohnsonSound Tigers (NYI)C241994-09-18Yes198 Lbs5 ft11NoNoNo2RFAPro & Farm500,000$500,000$Link
Patrick SieloffSound Tigers (NYI)D241994-05-14No205 Lbs6 ft1NoNoNo2RFAPro & Farm500,000$500,000$Link
Shane HarperSound Tigers (NYI)RW291989-01-31No193 Lbs5 ft11NoNoNo1UFAPro & Farm750,000$Link
Tyler MoySound Tigers (NYI)C/RW231995-07-18Yes201 Lbs6 ft1NoNoNo3RFAPro & Farm500,000$500,000$500,000$Link
Tyler ParsonsSound Tigers (NYI)D211997-09-18Yes185 Lbs6 ft1NoNoNo3RFAPro & Farm800,000$800,000$800,000$Link
Zack MitchellSound Tigers (NYI)RW251993-01-06No185 Lbs6 ft0NoYesNo2RFAPro & Farm750,000$750,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
824.50197 Lbs6 ft02.00600,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
2Luke JohnsonShane Harper30122
320122
4Shane HarperLuke Johnson10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2Luke JohnsonShane Harper40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Shane Harper40122
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
2Shane Harper40122
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
Luke Johnson, , Luke Johnson,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , Shane Harper, Luke Johnson
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
1Americans21000001990000000000002100000199030.7509152400102229160140172239651231323600.00%4250.00%020338153.28%19036951.49%18234852.30%557401438145274140
2Bruins11000000624000000000001100000062421.0006121800102229131140172239629317169333.33%10100.00%020338153.28%19036951.49%18234852.30%557401438145274140
3Crunch11000000321110000003210000000000021.0003690010222911514017223962265594250.00%5180.00%020338153.28%19036951.49%18234852.30%557401438145274140
4Devils22000000835110000005231100000031241.0008152300102229149140172239650185423300.00%7185.71%020338153.28%19036951.49%18234852.30%557401438145274140
5Gulls1010000017-61010000017-60000000000000.00012300102229135140172239645148515100.00%10640.00%020338153.28%19036951.49%18234852.30%557401438145274140
6IceCaps1010000013-21010000013-20000000000000.00012300102229122140172239625579100.00%110.00%020338153.28%19036951.49%18234852.30%557401438145274140
7Monsters1010000023-1000000000001010000023-100.0002350010222912414017223961821213400.00%110.00%020338153.28%19036951.49%18234852.30%557401438145274140
8Moose1000010034-1000000000001000010034-110.50036900102229126140172239636910114125.00%5260.00%020338153.28%19036951.49%18234852.30%557401438145274140
9Penguins30200100811-31000010034-12020000057-210.16781624001022291721401722396812887311000.00%11372.73%120338153.28%19036951.49%18234852.30%557401438145274140
10Phantoms412010001214-2201010005502110000079-240.500122335001022291116140172239612842504415213.33%16943.75%020338153.28%19036951.49%18234852.30%557401438145274140
11Pirates1010000014-31010000014-30000000000000.0001230010222912614017223962824218300.00%6266.67%020338153.28%19036951.49%18234852.30%557401438145274140
Since Last GM Reset2189012016267-51145011002732-510440010135350210.500621151770010222915541401722396582175464240701014.29%783061.54%120338153.28%19036951.49%18234852.30%557401438145274140
Total2189012016267-51145011002732-510440010135350210.500621151770010222915541401722396582175464240701014.29%783061.54%120338153.28%19036951.49%18234852.30%557401438145274140
Vs Conference1877012015655193401100232309430010133321190.52856105161001022291475140172239650215035220363812.70%622264.52%120338153.28%19036951.49%18234852.30%557401438145274140
Vs Division124501100353416220110018144623000001720-3110.458356510000102229131914017223963291042201304025.00%411563.41%120338153.28%19036951.49%18234852.30%557401438145274140
16Wild11000000321110000003210000000000021.00035800102229120140172239617915922100.00%5180.00%020338153.28%19036951.49%18234852.30%557401438145274140
17Wolf Pack21100000532211000005320000000000020.500581300102229158140172239652141719800.00%6183.33%020338153.28%19036951.49%18234852.30%557401438145274140

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2121L46211517755458217546424000
All Games
GPWLOTWOTL SOWSOLGFGA
218912016267
Home Games
GPWLOTWOTL SOWSOLGFGA
114511002732
Visitor Games
GPWLOTWOTL SOWSOLGFGA
104401013535
Last 10 Games
WLOTWOTL SOWSOL
440101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
701014.29%783061.54%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
14017223961022291
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
20338153.28%19036951.49%18234852.30%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
557401438145274140


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
3 - 2018-10-0416Phantoms3Sound Tigers2LBoxScore
5 - 2018-10-0630Sound Tigers1Phantoms6LBoxScore
6 - 2018-10-0739Sound Tigers3Penguins4LBoxScore
9 - 2018-10-1054Devils2Sound Tigers5WBoxScore
11 - 2018-10-1275Phantoms2Sound Tigers3WXBoxScore
12 - 2018-10-1383Sound Tigers3Americans2WBoxScore
15 - 2018-10-16103Wolf Pack2Sound Tigers1LBoxScore
16 - 2018-10-17112Sound Tigers6Bruins2WBoxScore
18 - 2018-10-19127Sound Tigers3Moose4LXBoxScore
21 - 2018-10-22146IceCaps3Sound Tigers1LBoxScore
23 - 2018-10-24165Wolf Pack1Sound Tigers4WBoxScore
25 - 2018-10-26179Sound Tigers6Phantoms3WBoxScore
27 - 2018-10-28194Wild2Sound Tigers3WBoxScore
29 - 2018-10-30209Sound Tigers6Americans7LXXBoxScore
31 - 2018-11-01223Sound Tigers3Devils1WBoxScore
33 - 2018-11-03234Penguins4Sound Tigers3LXBoxScore
37 - 2018-11-07260Crunch2Sound Tigers3WBoxScore
39 - 2018-11-09274Sound Tigers2Penguins3LBoxScore
41 - 2018-11-11289Gulls7Sound Tigers1LBoxScore
43 - 2018-11-13304Sound Tigers2Monsters3LBoxScore
45 - 2018-11-15321Pirates4Sound Tigers1LBoxScore
48 - 2018-11-18344Bruins-Sound Tigers-
50 - 2018-11-20360Sound Tigers-IceCaps-
52 - 2018-11-22374Sound Tigers-Devils-
53 - 2018-11-23385Rampage-Sound Tigers-
56 - 2018-11-26405Moose-Sound Tigers-
59 - 2018-11-29430Sound Tigers-Crunch-
61 - 2018-12-01440Penguins-Sound Tigers-
64 - 2018-12-04462Sound Tigers-Wolf Pack-
65 - 2018-12-05473Marlies-Sound Tigers-
68 - 2018-12-08490Sound Tigers-Wolves-
70 - 2018-12-10502Phantoms-Sound Tigers-
73 - 2018-12-13518Sound Tigers-Marlies-
75 - 2018-12-15533Sound Tigers-Bears-
77 - 2018-12-17543Marlies-Sound Tigers-
79 - 2018-12-19564Wolf Pack-Sound Tigers-
81 - 2018-12-21578Sound Tigers-Reign-
84 - 2018-12-24594Falcons-Sound Tigers-
86 - 2018-12-26610Sound Tigers-Phantoms-
87 - 2018-12-27625Sound Tigers-Moose-
89 - 2018-12-29635Wild-Sound Tigers-
92 - 2019-01-01657Phantoms-Sound Tigers-
93 - 2019-01-02674Sound Tigers-Crunch-
96 - 2019-01-05688Ice Hogs-Sound Tigers-
98 - 2019-01-07704Sound Tigers-Barracuda-
100 - 2019-01-09718Sound Tigers-Senators-
101 - 2019-01-10728Wolves-Sound Tigers-
104 - 2019-01-13750Sound Tigers-Heat-
105 - 2019-01-14758Americans-Sound Tigers-
108 - 2019-01-17782IceCaps-Sound Tigers-
109 - 2019-01-18791Sound Tigers-Bruins-
113 - 2019-01-22813Sound Tigers-Checkers-
114 - 2019-01-23822Falcons-Sound Tigers-
117 - 2019-01-26845Checkers-Sound Tigers-
119 - 2019-01-28853Sound Tigers-Bruins-
121 - 2019-01-30874Condors-Sound Tigers-
125 - 2019-02-03897Sound Tigers-Americans-
127 - 2019-02-05908Rampage-Sound Tigers-
131 - 2019-02-09933Stars-Sound Tigers-
133 - 2019-02-11951Sound Tigers-Ice Hogs-
135 - 2019-02-13962Devils-Sound Tigers-
136 - 2019-02-14968Sound Tigers-Penguins-
139 - 2019-02-17994Bears-Sound Tigers-
141 - 2019-02-191008Sound Tigers-Moose-
143 - 2019-02-211021Sound Tigers-Wolf Pack-
Trade Deadline --- Trades can’t be done after this day is simulated!
144 - 2019-02-221030Bears-Sound Tigers-
147 - 2019-02-251055Griffins-Sound Tigers-
151 - 2019-03-011077Sound Tigers-Comets-
153 - 2019-03-031089Senators-Sound Tigers-
154 - 2019-03-041095Sound Tigers-Checkers-
155 - 2019-03-051107Sound Tigers-Pirates-
158 - 2019-03-081124Devils-Sound Tigers-
159 - 2019-03-091131Sound Tigers- Admirals-
162 - 2019-03-121147Sound Tigers-Pirates-
164 - 2019-03-141161Senators-Sound Tigers-
167 - 2019-03-171178Sound Tigers-Bears-



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
27 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
480,000$ 350,000$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
131,422$ 0$ 131,422$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 122 2,857$ 348,554$




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
20182189012016267-51145011002732-51044001013535021621151770010222915541401722396582175464240701014.29%783061.54%120338153.28%19036951.49%18234852.30%557401438145274140
Total Regular Season2189012016267-51145011002732-51044001013535021621151770010222915541401722396582175464240701014.29%783061.54%120338153.28%19036951.49%18234852.30%557401438145274140