Bridgeport Sound Tigers

GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Massimo Boccanfuso | Morale : 1 | Team Overall : 57
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
1Brendan LeipsicXX100.007342887165667772506858572559596556620
2Par Lindholm (R)XX100.007343905967597460735955862551516562610
3Nicholas Caamano (R)X100.007272717072758459505758675347474874610
4Justin DowlingX100.007543997066638669735958642547476361610
5Michael BuntingX100.006670576370757864506065606244446465600
6Michael SpacekX100.007367876767818857715951624844446180590
7Ryan LombergX100.007071666771747958505458615544446073580
8Justin ScottXX100.007372746272788554684757615445456070570
9Steven Lorentz (R)X100.007777766177616451645048624644445568550
10Mathieu Olivier (R)X100.007076566476707649504746584444445371540
11Joona Koppanen (R)XX100.008073956973616645563846624444445332530
12Dylan SadowyX100.007268816668525545503846604451515119510
13Evan McEnenyX100.007775816875565657255048664651515827590
14Jacob MiddletonX100.007376676076748051254342624049495467580
15Joni Tuulola (R)X100.007670896770677348253941613944445351570
16Patrick SieloffX100.007175626675697646253739583744445070560
17Andrew O'Brien (R)X100.006778416278474844252843584155554863530
Scratches
1Kerby RychelX100.007977856777808464505866686348486720630
2Ty RattieX100.007643977067597665346258562555556320590
3Filip SandbergXX100.007467916267525160756451654851516020570
TEAM AVERAGE100.00736778667166735649515263434848585358
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
1Josef Korenar (R)100.00606278706066576564633044446245600
2C.J. Motte100.00505265634849555851523044445257520
Scratches
1Harri Sateri100.00536885764954525950503045455420550
2Colton Phinney (R)100.00414759654042404540403044444221450
TEAM AVERAGE100.0051577269495351575151304444533653
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Tom Barrasso62407063667062USA53260,000$


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 NamePOSGP 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
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


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 Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Andrew O'BrienBridgeport Sound Tigers (NYI)D251992-11-21Yes208 Lbs6 ft4NoNoNo1Pro & Farm250,000$0$0$NoLink
Brendan LeipsicBridgeport Sound Tigers (NYI)C/LW241994-05-19No180 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLink
C.J. MotteBridgeport Sound Tigers (NYI)G261991-12-10No175 Lbs6 ft0YesNoNo1Pro & Farm600,000$0$0$NoLink
Colton PhinneyBridgeport Sound Tigers (NYI)G251993-06-17Yes174 Lbs6 ft1YesNoNo2Pro & Farm600,000$0$0$No600,000$Link
Dylan SadowyBridgeport Sound Tigers (NYI)LW221996-04-02No180 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLink
Evan McEnenyBridgeport Sound Tigers (NYI)D241994-05-22No203 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLink
Filip SandbergBridgeport Sound Tigers (NYI)C/RW231994-07-23No190 Lbs5 ft9NoNoNo0Pro & Farm0$0$NoLink
Harri SateriBridgeport Sound Tigers (NYI)G281989-12-29No205 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLink
Jacob MiddletonBridgeport Sound Tigers (NYI)D221996-01-01No200 Lbs6 ft3NoNoNo1Pro & Farm735,000$0$0$NoLink
Joni TuulolaBridgeport Sound Tigers (NYI)D221996-01-01Yes181 Lbs6 ft3NoNoNo2Pro & Farm767,500$0$0$No767,500$Link
Joona KoppanenBridgeport Sound Tigers (NYI)C/LW201998-02-25Yes192 Lbs6 ft3NoNoNo3Pro & Farm753,333$0$0$No753,333$753,333$Link
Josef KorenarBridgeport Sound Tigers (NYI)G201998-01-31Yes185 Lbs6 ft1NoNoNo3Pro & Farm723,333$0$0$No723,333$723,333$Link
Justin DowlingBridgeport Sound Tigers (NYI)C271990-10-01No185 Lbs5 ft10NoNoNo2Pro & Farm750,000$0$0$No750,000$Link
Justin ScottBridgeport Sound Tigers (NYI)C/RW221995-08-13No198 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLink
Kerby RychelBridgeport Sound Tigers (NYI)LW231994-10-07No213 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLink
Mathieu OlivierBridgeport Sound Tigers (NYI)RW211997-02-11Yes209 Lbs6 ft2NoNoNo1Pro & Farm575,000$0$0$NoLink
Michael BuntingBridgeport Sound Tigers (NYI)LW221995-09-17No197 Lbs5 ft11NoNoNo2Pro & Farm737,500$0$0$No737,500$Link
Michael SpacekBridgeport Sound Tigers (NYI)C211997-04-09No187 Lbs5 ft11NoNoNo2Pro & Farm850,000$0$0$No850,000$Link
Nicholas CaamanoBridgeport Sound Tigers (NYI)RW191998-10-07Yes194 Lbs6 ft2NoNoNo3Pro & Farm738,333$0$0$No738,333$738,333$Link
Par LindholmBridgeport Sound Tigers (NYI)C/LW261991-10-04Yes187 Lbs5 ft11NoNoNo2Pro & Farm850,000$0$0$No850,000$Link
Patrick SieloffBridgeport Sound Tigers (NYI)D241994-05-14No205 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLink
Ryan LombergBridgeport Sound Tigers (NYI)LW231994-12-09No190 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLink
Steven LorentzBridgeport Sound Tigers (NYI)C221996-04-12Yes201 Lbs6 ft4NoNoNo2Pro & Farm728,333$0$0$No728,333$Link
Ty RattieBridgeport Sound Tigers (NYI)RW251993-02-05No184 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2423.17193 Lbs6 ft11.38573,264$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Par LindholmBrendan LeipsicNicholas Caamano40122
2Michael BuntingJustin DowlingJustin Scott30122
3Ryan LombergMichael SpacekMathieu Olivier20122
4Joona KoppanenSteven LorentzBrendan Leipsic10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Evan McEnenyJacob Middleton40122
2Joni TuulolaPatrick Sieloff30122
3Andrew O'BrienEvan McEneny20122
4Jacob MiddletonJoni Tuulola10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Par LindholmBrendan LeipsicNicholas Caamano60122
2Michael BuntingJustin DowlingJustin Scott40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Evan McEnenyJacob Middleton60122
2Joni TuulolaPatrick Sieloff40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Brendan LeipsicNicholas Caamano60122
2Justin DowlingPar Lindholm40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Evan McEnenyJacob Middleton60122
2Joni TuulolaPatrick Sieloff40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Brendan Leipsic60122Evan McEnenyJacob Middleton60122
2Nicholas Caamano40122Joni TuulolaPatrick Sieloff40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Brendan LeipsicNicholas Caamano60122
2Justin DowlingPar Lindholm40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Evan McEnenyJacob Middleton60122
2Joni TuulolaPatrick Sieloff40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Par LindholmBrendan LeipsicNicholas CaamanoEvan McEnenyJacob Middleton
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Par LindholmBrendan LeipsicNicholas CaamanoEvan McEnenyJacob Middleton
Extra Forwards
Normal PowerPlayPenalty Kill
Dylan Sadowy, Michael Spacek, Ryan LombergDylan Sadowy, Michael SpacekRyan Lomberg
Extra Defensemen
Normal PowerPlayPenalty Kill
Andrew O'Brien, Patrick Sieloff, Evan McEnenyAndrew O'BrienPatrick Sieloff, Evan McEneny
Penalty Shots
Brendan Leipsic, Nicholas Caamano, Justin Dowling, Par Lindholm, Michael Bunting
Goalie
#1 : Josef Korenar, #2 : C.J. Motte


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
41 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,375,832$ 1,375,832$ 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
Regular Season
201682323605414343364-2141171804101182184-241151801313161180-196434355890132631301449262663492910295430271057193415442169142.13%2187764.68%8862168951.04%941192248.96%749146251.23%152275417858091650813
201782244602622343456-11341132202301166222-5641112400321177234-5748343590933107911814293168100610551077442915991167316452339139.06%2548566.54%2871187946.35%717166343.11%725159445.48%168196417588011517688
201882303605416405432-2741171803003207207041131802413198225-2760405671107612861651488313092811501025522852947139213002228739.19%2299558.52%6948183651.63%819162550.40%844161252.36%169496517077861562748
201982333704233402423-2141201603101206201541132101132196222-26664026451047118116015411297088010671008333069992181120212068842.72%2438166.67%12736163245.10%722164843.81%699159343.88%168792417147661550754
Total Regular Season3281191550161671514931675-1821646774012506761814-531645281041179732861-1292381493246439576530957358837118943448420141391831186339876810651087735740.71%94433864.19%283417703648.56%3199685846.65%3017626148.19%658636096966316462803005