Connecticut Whale
GP: 11 | W: 7 | L: 4 | OTL: 0 | P: 14
GF: 25 | GA: 22 | PP%: 10.42% | PK%: 92.31%
GM : | Morale : 40 | Team Overall : 62
Next Games #165 vs Adirondack 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 SPAgeContractSalary
1Filip ChytilX100.0064428668827681678365646670616482406502110$
2Matt MartinX100.0099577062877482615460636659797349406503110$
3Henrik BorgstromX100.0064438664838077667361596366656281406302310$
4Andrei ChibisovX100.0069538261927375595460586253736748406202710$
5Matt BeleskeyX100.0062498561767880625559596361807253406203210$
6Ryan MacInnisX100.0064468961867573626861596361676472406202410$
7Logan O'ConnorX100.0057438962697778615459605862676356406102410$
8Nathan GerbeX100.0055398665587670637162595765827251406103310$
9Taro HiroseX100.0056398764657571635864595763676452406102410$
10Nick MoutreyX100.0074508756888583545052535856696559406002510$
11Andy WelinskiX100.0065438862788475613060596352736755406402710$
12Tucker PoolmanX100.0059398762808367613069586350736849406402710$
13Jacob MacDonaldX100.0061438963758076623061605951736758406302710$
14Logan DayX100.0066498561798586593058555746716659406302610$
15Joni TuulolaX100.0067478355828886543053535645676462406202510$
16Andrew NielsenX100.0071587354857978523053505745676465406102410$
17Joseph CecconiX100.0068458954828587533052505645646057406102310$
Scratches
1Andrew PoturalskiX100.0056458859708082586362575660716659406002710$
2Martin PospisilX100.0062547158757774575256545958616362405902110$
3Adam MascherinX100.0050448857618284555358565257636264405802210$
4Garrett MitchellX100.0059428758727170565052575455776956405802910$
5Kale KessyX100.0065715652827776515450505349756857405602810$
6Tim SoderlundX100.0052418754627473535551525654636268405502310$
7Ryan JohnstonX100.0051388861667271593058535649756854405902810$
8Jalen SmereckX100.0058438754727877533052515545656352405802410$
TEAM AVERAGE100.00634784607679775849585659557066594061
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
1J-F Berube100.00718987737069717069717077835140720
2Adam Huska100.00706866896968706968706965696240690
Scratches
1Dylan Ferguson100.00745250757372747372747363676240680
TEAM AVERAGE100.0072706879717072717072716873584070
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bill Peters75858680837765CAN554500,000$


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
1Nathan GerbeConnecticut Whale (NYR)C113584002152071515.00%015313.99000040001282058.10%10500001.0400000030
2Henrik BorgstromConnecticut Whale (NYR)C1125701001130357255.71%424021.890227401012271058.16%23900000.5800000100
3Matt MartinConnecticut Whale (NYR)LW1125711753710248188.33%124322.130221380000420045.00%2000000.5800001012
4Logan O'ConnorConnecticut Whale (NYR)RW113360205132121814.29%221319.38000440000001050.00%1000000.5600000001
5Matt BeleskeyConnecticut Whale (NYR)LW11336-18013152562512.00%124121.972027390000301064.29%1400000.5000000000
6Ryan MacInnisConnecticut Whale (NYR)C113362801517167918.75%114713.4010116000031049.57%11700000.8100000101
7Taro HiroseConnecticut Whale (NYR)LW113251002121441221.43%115013.68000040110161146.15%1300000.6600000010
8Andy WelinskiConnecticut Whale (NYR)D11134-2100166101310.00%523621.51011644000043000.00%000100.3400000101
9Filip ChytilConnecticut Whale (NYR)C11224-3801131259188.00%426524.091128370000490054.50%22200000.3000000001
10Jacob MacDonaldConnecticut Whale (NYR)D111343120141061616.67%922620.57022438011143000.00%000000.3500000010
11Joseph CecconiConnecticut Whale (NYR)D1104421001321110.00%516815.2900000000016000.00%000000.4800000000
12Logan DayConnecticut Whale (NYR)D1113438016394311.11%822820.76101539000044000.00%000000.3500000100
13Nick MoutreyConnecticut Whale (NYR)LW111343202672714.29%01009.1200000000000033.33%300000.8000000000
14Tucker PoolmanConnecticut Whale (NYR)D11033-4409189780.00%1126624.21022542000044000.00%000000.2300000000
15Joni TuulolaConnecticut Whale (NYR)D110223255743210.00%415113.770000200000000.00%100000.2600100000
16Andrei ChibisovConnecticut Whale (NYR)RW11011-200345190.00%011810.79000141000000050.00%600000.1700000000
17Andrew NielsenConnecticut Whale (NYR)D11000-140310000.00%0433.930000000005000.00%000000.0000000000
Team Total or Average1872550759128101791972306917810.87%56319517.09510154942312343967154.93%75000100.4700101466
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
1J-F BerubeConnecticut Whale (NYR)117400.8712.1259502211630000.0000110110
2Adam HuskaConnecticut Whale (NYR)20000.9170.9563001120000.0000011000
Team Total or Average137400.8742.0065902221750000.00001111110


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
Adam HuskaConnecticut Whale (NYR)G235/12/1997No227 Lbs6 ft3NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Adam MascherinConnecticut Whale (NYR)LW226/6/1998No200 Lbs5 ft11NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Andrei ChibisovConnecticut Whale (NYR)RW272/26/1993No227 Lbs6 ft4NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Andrew NielsenConnecticut Whale (NYR)D2411/13/1996No210 Lbs6 ft3NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Andrew PoturalskiConnecticut Whale (NYR)RW271/14/1994No189 Lbs5 ft11NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Andy WelinskiConnecticut Whale (NYR)D274/27/1993No201 Lbs6 ft1NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Dylan FergusonConnecticut Whale (NYR)G229/20/1998No189 Lbs6 ft1NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Filip ChytilConnecticut Whale (NYR)C219/5/1999No206 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Garrett MitchellConnecticut Whale (NYR)RW299/2/1991No198 Lbs5 ft11NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Henrik BorgstromConnecticut Whale (NYR)C238/6/1997No199 Lbs6 ft3NoNoNo1Pro & Farm0$0$NoLink / NHL Link
J-F BerubeConnecticut Whale (NYR)G297/13/1991No177 Lbs6 ft1NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Jacob MacDonaldConnecticut Whale (NYR)D272/26/1993No204 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Jalen SmereckConnecticut Whale (NYR)D241/15/1997No190 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Joni TuulolaConnecticut Whale (NYR)D251/1/1996No198 Lbs6 ft3NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Joseph CecconiConnecticut Whale (NYR)D235/23/1997No210 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Kale KessyConnecticut Whale (NYR)LW2812/4/1992No192 Lbs6 ft3NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Logan DayConnecticut Whale (NYR)D269/19/1994No209 Lbs6 ft1NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Logan O'ConnorConnecticut Whale (NYR)RW248/14/1996No175 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Martin PospisilConnecticut Whale (NYR)LW2111/19/1999No173 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Matt BeleskeyConnecticut Whale (NYR)LW326/7/1988No207 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Matt MartinConnecticut Whale (NYR)LW315/8/1989No220 Lbs6 ft3NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Nathan GerbeConnecticut Whale (NYR)C337/24/1987No169 Lbs5 ft4NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Nick MoutreyConnecticut Whale (NYR)LW256/24/1995No222 Lbs6 ft3NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Ryan JohnstonConnecticut Whale (NYR)D282/14/1992No180 Lbs5 ft10NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Ryan MacInnisConnecticut Whale (NYR)C242/14/1996No191 Lbs6 ft4NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Taro HiroseConnecticut Whale (NYR)LW246/30/1996No162 Lbs5 ft10NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Tim SoderlundConnecticut Whale (NYR)LW231/23/1998No163 Lbs5 ft9NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Tucker PoolmanConnecticut Whale (NYR)D276/8/1993No199 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2825.68196 Lbs6 ft11.000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matt MartinFilip ChytilAndrei Chibisov40122
2Matt BeleskeyHenrik BorgstromLogan O'Connor30122
3Taro HiroseRyan MacInnisFilip Chytil20122
4Nick MoutreyNathan GerbeMatt Martin10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Tucker PoolmanAndy Welinski40122
2Jacob MacDonaldLogan Day30122
3Joni TuulolaJoseph Cecconi20122
4Andrew NielsenTucker Poolman10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matt MartinFilip ChytilAndrei Chibisov60122
2Matt BeleskeyHenrik BorgstromLogan O'Connor40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Tucker PoolmanAndy Welinski60122
2Jacob MacDonaldLogan Day40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Filip ChytilMatt Martin60122
2Henrik BorgstromMatt Beleskey40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Tucker PoolmanAndy Welinski60122
2Jacob MacDonaldLogan Day40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Filip Chytil60122Tucker PoolmanAndy Welinski60122
2Matt Martin40122Jacob MacDonaldLogan Day40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Filip ChytilMatt Martin60122
2Henrik BorgstromMatt Beleskey40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Tucker PoolmanAndy Welinski60122
2Jacob MacDonaldLogan Day40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Matt MartinFilip ChytilAndrei ChibisovTucker PoolmanAndy Welinski
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Matt MartinFilip ChytilAndrei ChibisovTucker PoolmanAndy Welinski
Extra Forwards
Normal PowerPlayPenalty Kill
Ryan MacInnis, Taro Hirose, Nathan GerbeRyan MacInnis, Taro HiroseNathan Gerbe
Extra Defensemen
Normal PowerPlayPenalty Kill
Joni Tuulola, Joseph Cecconi, Andrew NielsenJoni TuulolaJoseph Cecconi, Andrew Nielsen
Penalty Shots
Filip Chytil, Matt Martin, Henrik Borgstrom, Matt Beleskey, Ryan MacInnis
Goalie
#1 : J-F Berube, #2 : Adam Huska
Custom OT Lines Forwards
Filip Chytil, Matt Martin, Henrik Borgstrom, Matt Beleskey, Ryan MacInnis, Andrei Chibisov, Andrei Chibisov, Logan O'Connor, Taro Hirose, Nathan Gerbe, Nick Moutrey
Custom OT Lines Defensemen
Tucker Poolman, Andy Welinski, Jacob MacDonald, Logan Day, Joni Tuulola


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
1Albany Devils11000000101000000000001100000010121.00012301961001968699301562718500.00%60100.00%018832957.14%14027051.85%8415155.63%2701872508113970
2Bridgeport Sound Tigers321000007701010000014-32200000063340.667714210096100566869930421726441218.33%130100.00%118832957.14%14027051.85%8415155.63%2701872508113970
3Hamilton Bulldogs11000000211110000002110000000000021.00024600961002568699301124165120.00%20100.00%018832957.14%14027051.85%8415155.63%2701872508113970
4Oklahoma City Barons1010000015-41010000015-40000000000000.000123009610013686993014614163133.33%6183.33%018832957.14%14027051.85%8415155.63%2701872508113970
5Providence Bruins1010000013-2000000000001010000013-200.00012300961002268699301841019600.00%5180.00%018832957.14%14027051.85%8415155.63%2701872508113970
6Rockford IceHogs21100000642000000000002110000064220.50061218019610038686993040143028600.00%14285.71%018832957.14%14027051.85%8415155.63%2701872508113970
7Springfield Falcons11000000514110000005140000000000021.00051015009610022686993016610165240.00%50100.00%018832957.14%14027051.85%8415155.63%2701872508113970
8Syracuse Crunch11000000211110000002110000000000021.0002460096100356869930191722600.00%10100.00%018832957.14%14027051.85%8415155.63%2701872508113970
Total11740000025223532000001112-16420000014104140.636255075029610023068699301755612817948510.42%52492.31%118832957.14%14027051.85%8415155.63%2701872508113970
_Since Last GM Reset11740000025223532000001112-16420000014104140.636255075029610023068699301755612817948510.42%52492.31%118832957.14%14027051.85%8415155.63%2701872508113970
_Vs Conference75200000161243210000086243100000862100.7141632480196100154686993011034801193438.82%30196.67%118832957.14%14027051.85%8415155.63%2701872508113970
_Vs Division2410000034-1111000002111300000013-282.000369009610047686993029614351119.09%7185.71%018832957.14%14027051.85%8415155.63%2701872508113970

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1114W12550752301755612817902
All Games
GPWLOTWOTL SOWSOLGFGA
117400002522
Home Games
GPWLOTWOTL SOWSOLGFGA
53200001112
Visitor Games
GPWLOTWOTL SOWSOLGFGA
64200001410
Last 10 Games
WLOTWOTL SOWSOL
730000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
48510.42%52492.31%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
686993096100
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
18832957.14%14027051.85%8415155.63%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2701872508113970


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 - 2021-01-0714Connecticut Whale3Rockford IceHogs4LBoxScore
4 - 2021-01-0819Connecticut Whale3Bridgeport Sound Tigers2WBoxScore
7 - 2021-01-1130Springfield Falcons1Connecticut Whale5WBoxScore
9 - 2021-01-1343Connecticut Whale1Providence Bruins3LBoxScore
13 - 2021-01-1755Oklahoma City Barons5Connecticut Whale1LBoxScore
16 - 2021-01-2071Connecticut Whale3Rockford IceHogs0WBoxScore
18 - 2021-01-2281Connecticut Whale1Albany Devils0WBoxScore
20 - 2021-01-2491Hamilton Bulldogs1Connecticut Whale2WBoxScore
24 - 2021-01-28111Connecticut Whale3Bridgeport Sound Tigers1WBoxScore
27 - 2021-01-31123Bridgeport Sound Tigers4Connecticut Whale1LBoxScore
31 - 2021-02-04146Syracuse Crunch1Connecticut Whale2WBoxScore
35 - 2021-02-08165Connecticut Whale-Adirondack Phantoms-
37 - 2021-02-10178Adirondack Phantoms-Connecticut Whale-
43 - 2021-02-16205Connecticut Whale-Springfield Falcons-
44 - 2021-02-17213Albany Devils-Connecticut Whale-
48 - 2021-02-21233Norfolk Admirals-Connecticut Whale-
50 - 2021-02-23244Connecticut Whale-Providence Bruins-
54 - 2021-02-27264Connecticut Whale-Bridgeport Sound Tigers-
56 - 2021-03-01271Connecticut Whale-Providence Bruins-
57 - 2021-03-02277St. John's-Connecticut Whale-
62 - 2021-03-07303Adirondack Phantoms-Connecticut Whale-
66 - 2021-03-11324Connecticut Whale-Springfield Falcons-
68 - 2021-03-13333Binghamton Senators-Connecticut Whale-
72 - 2021-03-17357Bridgeport Sound Tigers-Connecticut Whale-
74 - 2021-03-19371Connecticut Whale-Peoria Rivermen-
76 - 2021-03-21384Connecticut Whale-San Antonio Rampage-
78 - 2021-03-23393Houston Aeros-Connecticut Whale-
80 - 2021-03-25404Connecticut Whale-Chicago Wolves-
83 - 2021-03-28415Connecticut Whale-Hershey Bears-
85 - 2021-03-30430Chicago Wolves-Connecticut Whale-
88 - 2021-04-02444Connecticut Whale-Albany Devils-
91 - 2021-04-05459Portland Pirates-Connecticut Whale-
93 - 2021-04-07473Connecticut Whale-Charlotte Checkers-
95 - 2021-04-09479Connecticut Whale-Syracuse Crunch-
97 - 2021-04-11489Connecticut Whale-Norfolk Admirals-
98 - 2021-04-12496Hershey Bears-Connecticut Whale-
101 - 2021-04-15518Connecticut Whale-Milwaukee Admirals-
102 - 2021-04-16525Hamilton Bulldogs-Connecticut Whale-
108 - 2021-04-22554Providence Bruins-Connecticut Whale-
110 - 2021-04-24569Connecticut Whale-Lake Erie Monsters-
114 - 2021-04-28587Springfield Falcons-Connecticut Whale-
120 - 2021-05-04615Rockford IceHogs-Connecticut Whale-
122 - 2021-05-06628Connecticut Whale-Binghamton Senators-
127 - 2021-05-11645Connecticut Whale-Adirondack Phantoms-
128 - 2021-05-12651Charlotte Checkers-Connecticut Whale-
131 - 2021-05-15667Connecticut Whale-Texas Stars-
133 - 2021-05-17679Abbotsford Heat-Connecticut Whale-
135 - 2021-05-19691Connecticut Whale-Worcester Sharks-
139 - 2021-05-23709Albany Devils-Connecticut Whale-
143 - 2021-05-27732Connecticut Whale-Hamilton Bulldogs-
145 - 2021-05-29742Lake Erie Monsters-Connecticut Whale-
149 - 2021-06-02760Connecticut Whale-Portland Pirates-
151 - 2021-06-04767Connecticut Whale-Manchester Monarchs-
152 - 2021-06-05775Oklahoma City Barons-Connecticut Whale-
156 - 2021-06-09800Connecticut Whale-Rockford IceHogs-
157 - 2021-06-10805Worcester Sharks-Connecticut Whale-
161 - 2021-06-14824Connecticut Whale-Portland Pirates-
163 - 2021-06-16835Syracuse Crunch-Connecticut Whale-
169 - 2021-06-22865San Antonio Rampage-Connecticut Whale-
171 - 2021-06-24876Connecticut Whale-Toronto Marlies-
174 - 2021-06-27894Chicago Wolves-Connecticut Whale-
176 - 2021-06-29900Connecticut Whale-St. John's-
180 - 2021-07-03926Grand Rapids Griffins-Connecticut Whale-
186 - 2021-07-09956Abbotsford Heat-Connecticut Whale-
188 - 2021-07-11968Connecticut Whale-Chicago Wolves-
190 - 2021-07-13978Connecticut Whale-Grand Rapids Griffins-
192 - 2021-07-15991Texas Stars-Connecticut Whale-
195 - 2021-07-181006Connecticut Whale-Rochester Americans-
197 - 2021-07-201021Toronto Marlies-Connecticut Whale-
201 - 2021-07-241042Connecticut Whale-Wilkes-Barre/Scranton Penguins-
203 - 2021-07-261052Lake Erie Monsters-Connecticut Whale-
Trade Deadline --- Trades can’t be done after this day is simulated!
206 - 2021-07-291075Connecticut Whale-Houston Aeros-
208 - 2021-07-311083Norfolk Admirals-Connecticut Whale-
210 - 2021-08-021095Connecticut Whale-Oklahoma City Barons-
213 - 2021-08-051115Wilkes-Barre/Scranton Penguins-Connecticut Whale-
215 - 2021-08-071128Connecticut Whale-Oklahoma City Barons-
217 - 2021-08-091146Connecticut Whale-Abbotsford Heat-
218 - 2021-08-101147Manchester Monarchs-Connecticut Whale-
223 - 2021-08-151178Peoria Rivermen-Connecticut Whale-
230 - 2021-08-221207Rochester Americans-Connecticut Whale-
237 - 2021-08-291233Milwaukee Admirals-Connecticut Whale-
243 - 2021-09-041255Rochester Americans-Connecticut Whale-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
36 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 0$ 0$ 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$ 215 2,024$ 435,160$




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
201682313307911239238141161703311111108341151604600128130-28823942566425093815726890925868867233470073618203045016.45%3095681.88%21572296153.09%1423259854.77%716130055.08%2073143117916161096561
2017823631085112302201041171801311113118-541191307200117102159623041564522080717024960812827834236768162919653497120.34%2644881.82%11414290248.73%1379276449.89%646129150.04%2001135218656221090553
20188243190942532426757412111032131601273341228062121641402411732458290611011511682296301019930976267678756118743197924.76%2474980.16%41619309952.24%1473291750.50%705136551.65%2027140718896121061536
201982263909530236266-3041141805220127128-141122104310109138-298123642365922080697527660959882899277076653719092334218.03%2245177.23%01461296749.24%1399298146.93%629128748.87%1916131219676071073533
111740000025223532000001112-1642000001410414255075029610023068699301755612817948510.42%52492.31%118832957.14%14027051.85%8415155.63%2701872508113970
Total Regular Season33914312603323771054101341169716601210555224932917072600211322532520123961054189529497129374347284111446837843600357610322299025917747125324719.71%109620881.02%862541225851.02%58141153050.42%2780539451.54%828956917763253944612256
Playoff
201715105000004135686200000241867430000017170204176117120111511473012717312646712921436965913.85%741382.43%127354849.82%28660447.35%10822947.16%381254381126212105
2018734000002632-6413000001620-4321000001012-26264975000101062480808583257684615932721.88%19478.95%014626255.73%13226749.44%6412750.39%171119156529246
Total Playoff221390000067670127500000403821064000002729-226671251921202125177210207258209724197260528971616.49%931781.72%141981051.73%41887147.99%17235648.31%552374538178304151