BRIDGEPORT Sound Tigers

GP: 80 | W: 12 | L: 67 | OTL: 1 | P: 25
GF: 258 | GA: 534 | PP%: 22.73% | PK%: 53.44%
GM : Carl Frenette | Morale : 67 | Team Overall : 63
Next Games #1040 vs SAN DIEGO Gulls
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
1Derek Grant (C)0X100.006741826982778370756767677156534967700
2Valeri Nichushkin0X100.005938847181537365306761625854469567640
3Josh Leivo0X100.005641837178763364306662636452516166620
4Michael Dal Colle0X100.006042736179628157515856605750508895620
5Tanner Kero0XX100.005341786267666158615858705853524296610
6Corban Knight0X100.005842746074587560676160606051514764610
7Daniel Catenacci0X100.005743726165586056675755605550506367580
8Zac Dalpe0X100.005744726274186460366060596056535964570
9Dylan Sadowy0XX100.005741776076583050505050605050504499540
10Jakob Chychrun (A)0X100.007341907078856774306064666955538662680
11Madison Bowey (R)0X100.006543786275727768315955626152517066640
12Ryan Sproul0X100.006543765483678263305453686252516869630
13Victor Antipin (R)0X100.005942856862776472306157626252514268630
14Taylor Chorney0X100.006341826369734268305759756657545963620
15Dylan McIlrath0X100.007850505093519354304747605452538266600
16Nikita Tryamkin0X100.008355646099525846303333724758457967560
Scratches
TEAM AVERAGE100.00634376637763656242575664605351657262
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
1Linus Ullmark100.00767379897677767676767252644776670
Scratches
TEAM AVERAGE100.0076737989767776767676725264477667
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Phil Housley73727274747462USA544840,000$


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
1Derek GrantBRIDGEPORT Sound Tigers (ISL)C805449103-6174018114251216436610.55%22175021.8961117531411011162169.52%113200021.1801000172
2Jakob ChychrunBRIDGEPORT Sound Tigers (ISL)D80306494-10537579922256415813.33%106194724.34111223791661123102200.00%000000.9700000211
3Josh LeivoBRIDGEPORT Sound Tigers (ISL)LW80364884-85280871184561163437.89%17179022.38681440144011033053.61%9700020.9400000430
4Valeri NichushkinBRIDGEPORT Sound Tigers (ISL)RW80383068-134340253110384892699.90%17156719.5981220431510110190050.56%8900010.8701000105
5Victor AntipinBRIDGEPORT Sound Tigers (ISL)D80125466-68220397713255869.09%84156019.515813541540000113000.00%000000.8500000101
6Madison BoweyBRIDGEPORT Sound Tigers (ISL)D8084957-77160734912243956.56%63136717.1031720561670110110000.00%000000.8300000000
7Corban KnightBRIDGEPORT Sound Tigers (ISL)C80242852-2828098742285914610.53%6104113.0210114000000068.91%102600001.0000000011
8Taylor ChorneyBRIDGEPORT Sound Tigers (ISL)D8084351-6160146610437727.69%71125115.6511247000215000.00%000000.8100000102
9Daniel CatenacciBRIDGEPORT Sound Tigers (ISL)C80172441-82006873161469410.56%794711.84000001011232169.81%96400010.8700000001
10Ryan SproulBRIDGEPORT Sound Tigers (ISL)D8073138-693601266613336785.26%105154619.34268481530000107100.00%000000.4900000001
11Dylan McIlrathBRIDGEPORT Sound Tigers (ISL)D8022022-55720187254518354.44%57122915.3600000000033100.00%000000.3600000010
12Jared McCannBRIDGEPORT Sound Tigers (ISL)C/LW1481018-980273072205711.11%535425.340119271013191058.60%21500011.0100000101
13Nikita TryamkinBRIDGEPORT Sound Tigers (ISL)D8061016-3132080192973220.69%467048.8112312000024000.00%000000.4500000001
14Zac DalpeBRIDGEPORT Sound Tigers (ISL)C8084120100321859143313.56%43143.92123331000010053.33%3000000.7600000000
15Andreas AthanasiouBRIDGEPORT Sound Tigers (ISL)C/LW/RW1022-100226240.00%02727.8800022011040064.71%1700001.4300000000
Team Total or Average1055258466724-79242351346961266877018689.67%6101740116.49458012539311564591059412267.70%357000070.8302000111316
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 Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Corban KnightBRIDGEPORT Sound Tigers (ISL)C279/10/1990No89 Kg188 CMNoNoNo1RFAPro & Farm500,000$0$0$NoLink
Daniel CatenacciBRIDGEPORT Sound Tigers (ISL)C253/9/1993No88 Kg178 CMNoNoNo1RFAPro & Farm750,000$0$0$NoLink
Derek GrantBRIDGEPORT Sound Tigers (ISL)C284/20/1990No98 Kg191 CMNoNoNo4UFAPro & Farm900,000$0$0$NoLink
Dylan McIlrathBRIDGEPORT Sound Tigers (ISL)D264/20/1992No107 Kg196 CMNoNoNo1RFAPro & Farm600,000$0$0$NoLink
Dylan SadowyBRIDGEPORT Sound Tigers (ISL)LW/RW224/2/1996No82 Kg185 CMNoNoNo1RFAPro & Farm750,000$0$0$NoLink
Jakob ChychrunBRIDGEPORT Sound Tigers (ISL)D203/31/1998No95 Kg188 CMNoNoNo1RFAPro & Farm750,000$0$0$NoLink
Josh LeivoBRIDGEPORT Sound Tigers (ISL)LW255/26/1993No95 Kg188 CMNoNoNo1RFAPro & Farm925,000$0$0$NoLink
Linus UllmarkNEW YORK IslandersG257/31/1993No100 Kg193 CMNoNoNo3RFAPro & Farm825,000$825,000$73,185$NoLink
Madison BoweyBRIDGEPORT Sound Tigers (ISL)D234/22/1995Yes90 Kg188 CMNoNoNo3RFAPro & Farm750,000$0$0$NoLink
Michael Dal ColleBRIDGEPORT Sound Tigers (ISL)LW226/20/1996No93 Kg191 CMNoNoNo3RFAPro & Farm750,000$0$0$NoLink
Nikita TryamkinBRIDGEPORT Sound Tigers (ISL)D248/30/1994No116 Kg201 CMNoNoNo1RFAPro & Farm925,000$0$0$No
Ryan SproulBRIDGEPORT Sound Tigers (ISL)D251/13/1993No93 Kg193 CMNoNoNo5RFAPro & Farm750,000$0$0$NoLink
Tanner KeroBRIDGEPORT Sound Tigers (ISL)C/RW267/24/1992No84 Kg183 CMNoNoNo1RFAPro & Farm850,000$0$0$NoLink
Taylor ChorneyBRIDGEPORT Sound Tigers (ISL)D314/27/1987No88 Kg183 CMNoNoNo1UFAPro & Farm775,000$0$0$NoLink
Valeri NichushkinBRIDGEPORT Sound Tigers (ISL)RW233/4/1995No93 Kg193 CMNoNoNo1RFAPro & Farm1,900,000$0$0$No
Victor AntipinBRIDGEPORT Sound Tigers (ISL)D2512/6/1992Yes80 Kg180 CMNoNoNo3RFAPro & Farm750,000$0$0$NoLink
Zac DalpeBRIDGEPORT Sound Tigers (ISL)C2811/1/1989No88 Kg188 CMNoNoNo3UFAPro & Farm750,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1725.0093 Kg188 CM2.00835,294$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Valeri Nichushkin31023
2Derek GrantJosh Leivo26122
3Josh LeivoCorban Knight23122
4Daniel CatenacciDerek Grant20122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakob ChychrunMadison Bowey31122
2Victor AntipinRyan Sproul26122
3Taylor ChorneyDylan McIlrath23122
4Nikita TryamkinJakob Chychrun20122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Valeri Nichushkin55122
2Derek GrantJosh Leivo45122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakob ChychrunMadison Bowey55122
2Victor AntipinRyan Sproul45122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
155122
2Derek GrantValeri Nichushkin45122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakob ChychrunMadison Bowey55122
2Victor AntipinRyan Sproul45122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
155122Jakob ChychrunMadison Bowey55122
245122Victor AntipinRyan Sproul45122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
155122
2Derek GrantValeri Nichushkin45122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakob ChychrunMadison Bowey55122
2Victor AntipinRyan Sproul45122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Valeri NichushkinJakob ChychrunMadison Bowey
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Valeri NichushkinJakob ChychrunMadison Bowey
Extra Forwards
Normal PowerPlayPenalty Kill
Zac Dalpe, Corban Knight, Daniel CatenacciZac Dalpe, Corban KnightDaniel Catenacci
Extra Defensemen
Normal PowerPlayPenalty Kill
Taylor Chorney, Dylan McIlrath, Nikita TryamkinTaylor ChorneyDylan McIlrath, Nikita Tryamkin
Penalty Shots
, , Derek Grant, Valeri Nichushkin,
Goalie
#1 : , #2 :
Custom OT Lines Forwards
, , Derek Grant, Valeri Nichushkin, , Josh Leivo, Josh Leivo, Corban Knight, Daniel Catenacci, Zac Dalpe,
Custom OT Lines Defensemen
Jakob Chychrun, Madison Bowey, Victor Antipin, Ryan Sproul, Taylor Chorney


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
1BELLEVILLE Senators20100001813-51000000156-11010000037-410.25081422001059261077895931868854194507342.86%2150.00%01382258353.50%538138938.73%778152850.92%222016961670465914474
2BROOKLYN Wolfpack33000000312291100000012012220000001921761.00031599002105926102288959318688115849000.00%40100.00%11382258353.50%538138938.73%778152850.92%222016961670465914474
3CHICAGO Wolves606000001443-2930300000723-1630300000720-1300.00014253900105926101938959318688174503011514214.29%14842.86%11382258353.50%538138938.73%778152850.92%222016961670465914474
4CLEVELAND Monsters20200000421-1710100000312-91010000019-800.000461000105926104489593186881022216266116.67%8537.50%01382258353.50%538138938.73%778152850.92%222016961670465914474
5COLORADO Eagles50500000944-3520200000620-1430300000324-2100.00091726001059261012289593186882114828871516.67%13838.46%01382258353.50%538138938.73%778152850.92%222016961670465914474
6CORNWALL Aces2200000022715110000001055110000001221041.00022406200105926101048959318688247205311100.00%10370.00%11382258353.50%538138938.73%778152850.92%222016961670465914474
7HERSEY Bears20200000517-1210100000111-101010000046-200.0005813101059261033895931868875278243133.33%3166.67%01382258353.50%538138938.73%778152850.92%222016961670465914474
8HOLLYWOOD Oscar220000001138110000003121100000082641.00011213200105926101408959318688277639200.00%30100.00%01382258353.50%538138938.73%778152850.92%222016961670465914474
9IOWA Wild20200000714-71010000037-41010000047-300.000714210010592610648959318688791714295240.00%6350.00%01382258353.50%538138938.73%778152850.92%222016961670465914474
10LAVAL Rockets606000001855-3730300000726-19303000001129-1800.0001832500010592610161895931868822758248719631.58%10640.00%01382258353.50%538138938.73%778152850.92%222016961670465914474
11LEHIGH VALLEY Phantoms20200000221-191010000018-710100000113-1200.000246001059261032895931868897261238500.00%6183.33%01382258353.50%538138938.73%778152850.92%222016961670465914474
12MANITOBA Moose2200000014014110000005051100000090941.0001428420210592610172895931868822038000.00%000.00%01382258353.50%538138938.73%778152850.92%222016961670465914474
13MILWAUKEE Admirals60600000746-3930300000326-2330300000420-1600.000713200010592610132895931868818147309215213.33%151033.33%01382258353.50%538138938.73%778152850.92%222016961670465914474
14MONT-LAURIER Sommet20200000511-61010000026-41010000035-200.00058130010592610728959318688391314365120.00%5340.00%01382258353.50%538138938.73%778152850.92%222016961670465914474
15PROVIDENCE Bruins20200000612-61010000036-31010000036-300.0006121800105926104289593186885916122810440.00%6433.33%01382258353.50%538138938.73%778152850.92%222016961670465914474
16PV Sharapovas30300000921-121010000057-220200000414-1000.0009152400105926108589593186888319205419526.32%8450.00%01382258353.50%538138938.73%778152850.92%222016961670465914474
17ROCKFORD IceHogs808000001858-40505000001135-2430300000723-1600.00018284600105926101838959318688283666011220315.00%29968.97%11382258353.50%538138938.73%778152850.92%222016961670465914474
18SAN DIEGO Gulls505000001036-2620200000516-1130300000520-1500.000101929001059261014789593186881732245765120.00%14378.57%01382258353.50%538138938.73%778152850.92%222016961670465914474
19STOCKTON Flames30300000723-1620200000518-131010000025-300.0007132000105926107989593186881043218526233.33%9722.22%01382258353.50%538138938.73%778152850.92%222016961670465914474
20SYRACUSE Crunch2110000012751010000026-411000000101920.500122436001059261098895931868845132405240.00%10100.00%01382258353.50%538138938.73%778152850.92%222016961670465914474
21TORONTO Marlies20200000515-101010000027-51010000038-500.00059140010592610508959318688752110375360.00%4250.00%01382258353.50%538138938.73%778152850.92%222016961670465914474
22TUSCON Roadrunners20200000716-91010000038-51010000048-400.000713200010592610508959318688762462811327.27%2150.00%01382258353.50%538138938.73%778152850.92%222016961670465914474
Total80126700001258534-2763963200001121271-1504163500000137263-126250.156258471729141059261026988959318688240161142313461984522.73%1898853.44%41382258353.50%538138938.73%778152850.92%222016961670465914474
24UTICA Comets20200000313-101010000024-21010000019-800.0003580010592610638959318688591484011218.18%4250.00%01382258353.50%538138938.73%778152850.92%222016961670465914474
25VICTORIAVILLE Tigres20200000417-131010000039-61010000018-700.0004610001059261047895931868873161638400.00%7357.14%01382258353.50%538138938.73%778152850.92%222016961670465914474
26WILKIES-BARRIE Penguins523000002019122000000124830300000815-740.4002038580010592610280895931868868201278500.00%6433.33%01382258353.50%538138938.73%778152850.92%222016961670465914474
_Since Last GM Reset80126700001258534-2763963200001121271-1504163500000137263-126250.156258471729141059261026988959318688240161142313461984522.73%1898853.44%41382258353.50%538138938.73%778152850.92%222016961670465914474
_Vs Conference5254700000145366-221253220000072183-111272250000073183-110100.09614526240712105926101628895931868816233952818141232318.70%1266052.38%31382258353.50%538138938.73%778152850.92%222016961670465914474
_Vs Division310360000073222-149160180000038120-82150180000035102-6700.00073131204021059261091389593186881003246178511731013.70%844151.19%21382258353.50%538138938.73%778152850.92%222016961670465914474

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8025L125847172926982401611423134614
All Games
GPWLOTWOTL SOWSOLGFGA
8012670001258534
Home Games
GPWLOTWOTL SOWSOLGFGA
396320001121271
Visitor Games
GPWLOTWOTL SOWSOLGFGA
416350000137263
Last 10 Games
WLOTWOTL SOWSOL
370000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1984522.73%1898853.44%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
895931868810592610
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1382258353.50%538138938.73%778152850.92%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
222016961670465914474


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 - 2019-01-235ROCKFORD IceHogs5BRIDGEPORT Sound Tigers3LBoxScore
3 - 2019-01-2521BRIDGEPORT Sound Tigers3LAVAL Rockets8LBoxScore
4 - 2019-01-2635BRIDGEPORT Sound Tigers2CHICAGO Wolves7LBoxScore
5 - 2019-01-2741ROCKFORD IceHogs5BRIDGEPORT Sound Tigers1LBoxScore
7 - 2019-01-2960MILWAUKEE Admirals8BRIDGEPORT Sound Tigers1LBoxScore
9 - 2019-01-3177BRIDGEPORT Sound Tigers3MILWAUKEE Admirals4LBoxScore
10 - 2019-02-0185CHICAGO Wolves6BRIDGEPORT Sound Tigers1LBoxScore
11 - 2019-02-0292BRIDGEPORT Sound Tigers4WILKIES-BARRIE Penguins5LBoxScore
13 - 2019-02-04110PV Sharapovas7BRIDGEPORT Sound Tigers5LBoxScore
15 - 2019-02-06131LAVAL Rockets7BRIDGEPORT Sound Tigers1LBoxScore
16 - 2019-02-07140BRIDGEPORT Sound Tigers0SAN DIEGO Gulls5LBoxScore
17 - 2019-02-08150BRIDGEPORT Sound Tigers1ROCKFORD IceHogs6LBoxScore
18 - 2019-02-09161MILWAUKEE Admirals10BRIDGEPORT Sound Tigers2LBoxScore
20 - 2019-02-11172BRIDGEPORT Sound Tigers10BROOKLYN Wolfpack2WBoxScore
22 - 2019-02-13191COLORADO Eagles11BRIDGEPORT Sound Tigers4LBoxScore
23 - 2019-02-14204BRIDGEPORT Sound Tigers0COLORADO Eagles12LBoxScore
24 - 2019-02-15209BRIDGEPORT Sound Tigers3PV Sharapovas7LBoxScore
25 - 2019-02-16223ROCKFORD IceHogs7BRIDGEPORT Sound Tigers2LBoxScore
27 - 2019-02-18237SYRACUSE Crunch6BRIDGEPORT Sound Tigers2LBoxScore
29 - 2019-02-20249BRIDGEPORT Sound Tigers0MILWAUKEE Admirals8LBoxScore
30 - 2019-02-21265UTICA Comets4BRIDGEPORT Sound Tigers2LBoxScore
32 - 2019-02-23281BRIDGEPORT Sound Tigers4TUSCON Roadrunners8LBoxScore
33 - 2019-02-24293BROOKLYN Wolfpack0BRIDGEPORT Sound Tigers12WBoxScore
34 - 2019-02-25305BRIDGEPORT Sound Tigers1VICTORIAVILLE Tigres8LBoxScore
36 - 2019-02-27318BELLEVILLE Senators6BRIDGEPORT Sound Tigers5LXXBoxScore
38 - 2019-03-01333BRIDGEPORT Sound Tigers9MANITOBA Moose0WBoxScore
39 - 2019-03-02343BRIDGEPORT Sound Tigers9BROOKLYN Wolfpack0WBoxScore
40 - 2019-03-03354BRIDGEPORT Sound Tigers1MILWAUKEE Admirals8LBoxScore
42 - 2019-03-05367MONT-LAURIER Sommet6BRIDGEPORT Sound Tigers2LBoxScore
43 - 2019-03-06380BRIDGEPORT Sound Tigers3BELLEVILLE Senators7LBoxScore
45 - 2019-03-08392CHICAGO Wolves8BRIDGEPORT Sound Tigers3LBoxScore
47 - 2019-03-10407ROCKFORD IceHogs9BRIDGEPORT Sound Tigers3LBoxScore
48 - 2019-03-11420STOCKTON Flames10BRIDGEPORT Sound Tigers2LBoxScore
50 - 2019-03-13436BRIDGEPORT Sound Tigers1CLEVELAND Monsters9LBoxScore
51 - 2019-03-14448LAVAL Rockets9BRIDGEPORT Sound Tigers2LBoxScore
52 - 2019-03-15464BRIDGEPORT Sound Tigers5LAVAL Rockets12LBoxScore
53 - 2019-03-16473SAN DIEGO Gulls9BRIDGEPORT Sound Tigers2LBoxScore
54 - 2019-03-17484BRIDGEPORT Sound Tigers4IOWA Wild7LBoxScore
56 - 2019-03-19495BRIDGEPORT Sound Tigers8HOLLYWOOD Oscar2WBoxScore
57 - 2019-03-20510CHICAGO Wolves9BRIDGEPORT Sound Tigers3LBoxScore
59 - 2019-03-22527VICTORIAVILLE Tigres9BRIDGEPORT Sound Tigers3LBoxScore
60 - 2019-03-23534BRIDGEPORT Sound Tigers3MONT-LAURIER Sommet5LBoxScore
62 - 2019-03-25549ROCKFORD IceHogs9BRIDGEPORT Sound Tigers2LBoxScore
63 - 2019-03-26558BRIDGEPORT Sound Tigers1LEHIGH VALLEY Phantoms13LBoxScore
65 - 2019-03-28577BRIDGEPORT Sound Tigers1PV Sharapovas7LBoxScore
66 - 2019-03-29586BRIDGEPORT Sound Tigers1UTICA Comets9LBoxScore
67 - 2019-03-30598CLEVELAND Monsters12BRIDGEPORT Sound Tigers3LBoxScore
68 - 2019-03-31611BRIDGEPORT Sound Tigers2STOCKTON Flames5LBoxScore
70 - 2019-04-02623HERSEY Bears11BRIDGEPORT Sound Tigers1LBoxScore
71 - 2019-04-03639IOWA Wild7BRIDGEPORT Sound Tigers3LBoxScore
73 - 2019-04-05654TORONTO Marlies7BRIDGEPORT Sound Tigers2LBoxScore
74 - 2019-04-06664BRIDGEPORT Sound Tigers3TORONTO Marlies8LBoxScore
76 - 2019-04-08682LAVAL Rockets10BRIDGEPORT Sound Tigers4LBoxScore
78 - 2019-04-10698BRIDGEPORT Sound Tigers3LAVAL Rockets9LBoxScore
79 - 2019-04-11706MILWAUKEE Admirals8BRIDGEPORT Sound Tigers0LBoxScore
80 - 2019-04-12718BRIDGEPORT Sound Tigers2CHICAGO Wolves4LBoxScore
81 - 2019-04-13733COLORADO Eagles9BRIDGEPORT Sound Tigers2LBoxScore
83 - 2019-04-15746BRIDGEPORT Sound Tigers1ROCKFORD IceHogs9LBoxScore
84 - 2019-04-16761TUSCON Roadrunners8BRIDGEPORT Sound Tigers3LBoxScore
85 - 2019-04-17772BRIDGEPORT Sound Tigers10SYRACUSE Crunch1WBoxScore
87 - 2019-04-19785WILKIES-BARRIE Penguins1BRIDGEPORT Sound Tigers7WBoxScore
89 - 2019-04-21802BRIDGEPORT Sound Tigers3PROVIDENCE Bruins6LBoxScore
90 - 2019-04-22816STOCKTON Flames8BRIDGEPORT Sound Tigers3LBoxScore
92 - 2019-04-24828BRIDGEPORT Sound Tigers2COLORADO Eagles4LBoxScore
93 - 2019-04-25834BRIDGEPORT Sound Tigers12CORNWALL Aces2WBoxScore
94 - 2019-04-26846CORNWALL Aces5BRIDGEPORT Sound Tigers10WBoxScore
96 - 2019-04-28860BRIDGEPORT Sound Tigers5ROCKFORD IceHogs8LBoxScore
97 - 2019-04-29874SAN DIEGO Gulls7BRIDGEPORT Sound Tigers3LBoxScore
98 - 2019-04-30889BRIDGEPORT Sound Tigers2SAN DIEGO Gulls8LBoxScore
99 - 2019-05-01895BRIDGEPORT Sound Tigers2WILKIES-BARRIE Penguins6LBoxScore
101 - 2019-05-03908LEHIGH VALLEY Phantoms8BRIDGEPORT Sound Tigers1LBoxScore
102 - 2019-05-04920BRIDGEPORT Sound Tigers3CHICAGO Wolves9LBoxScore
103 - 2019-05-05931BRIDGEPORT Sound Tigers4HERSEY Bears6LBoxScore
105 - 2019-05-07940PROVIDENCE Bruins6BRIDGEPORT Sound Tigers3LBoxScore
107 - 2019-05-09961MANITOBA Moose0BRIDGEPORT Sound Tigers5WBoxScore
108 - 2019-05-10973BRIDGEPORT Sound Tigers2WILKIES-BARRIE Penguins4LBoxScore
109 - 2019-05-11986WILKIES-BARRIE Penguins3BRIDGEPORT Sound Tigers5WBoxScore
110 - 2019-05-12992BRIDGEPORT Sound Tigers3SAN DIEGO Gulls7LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
112 - 2019-05-141011HOLLYWOOD Oscar1BRIDGEPORT Sound Tigers3WBoxScore
113 - 2019-05-151021BRIDGEPORT Sound Tigers1COLORADO Eagles8LBoxScore
116 - 2019-05-181040SAN DIEGO Gulls-BRIDGEPORT Sound Tigers-
118 - 2019-05-201059COLORADO Eagles-BRIDGEPORT Sound Tigers-



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
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,154,916$ 1,674,500$ 1,674,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,570,024$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 7 20,954$ 146,678$




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
Regular Season
2878442600521450193257392013003212209212839241300200230101129884506301080013238131793405512821362140216271177715110279555.26%601083.33%11280205162.41%1207251248.05%790127761.86%203316401888424787385
3082511901155372144228412670113318764123412512000221858010510237264310151231711197612331810271138111772170449939012431532818.30%1671988.62%41783261868.11%1164187462.11%887129468.55%251019401515475948519
31825319051223251601654125110301116387764128802111162738910632558891321614591829287198094293329176355650413222424920.25%2192588.58%51673264463.28%1264219957.48%735117762.45%234417381616528995535
3280126700001258534-2763963200001121271-1504163500000137263-12625258471729141059261026988959318688240161142313461984522.73%1898853.44%41382258353.50%538138938.73%778152850.92%222016961670465914474
Total Regular Season32216013106799140510313741607763044666915141771628368023337145171973211405233237374566594332982412942418443734320125857924431468493868812718.46%63514277.64%146118989661.82%4173797452.33%3190527660.46%910870166691189336461915
Playoff
2840400000117-1620200000111-102020000006-60123000010642119240196566311200.00%20100.00%0358839.77%7818442.39%276442.19%5436140294416
30404000001015-52020000057-22020000058-3010152500415010138362701112918411715.88%8362.50%05311844.92%6312052.50%256339.68%966789295327
Total Playoff808000001132-2140400000618-1240400000514-9011172800416016559555103078524722913.45%10370.00%08820642.72%14130446.38%5212740.94%151103230599844