Baby Hawks

GM : Sylvain Doyon Morale : 48 Team Overall : 48
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
1Brad Boyes (C)X100.00514389756867796352626360506656080630
2Ryan Garbutt (A)XX100.00675080726662935339505666484641069600
3Tom Kuhnhackl (R)XX100.00583581716854425635555668483737064570
4Freddie HamiltonXX100.00543595696757355250455868484036069550
5Joe Vitale (A)XX100.00534379667055444787454864485145069540
6Tyler Gaudet (R)XX100.00543595647255364947485073483532066540
7Henrik SamuelssonXXX100.00493578667351333339333360473532071470
8Josh Archibald (R)X100.00503595725245353535353564483532070470
9Tyler Graovac (R)X100.00543595647156353560353557483532069470
10Michael Zalewski (R)XX100.00523579677153353767383550483532069470
11Kyle RauXX100.00453588755254353535353559483532069470
12Zack Mitchell (R)X100.00454545455845454545454545453230062450
13Korbinian HolzerX100.00694384607158423835433269484338071560
14Stephen Johns (R)X100.00633584617755364535434769483532073560
15Frank CorradoX100.00623580666357424235414366484239069550
16Nikita TryamkinX100.00793577607955364435394961483532069550
17Oliver LauridsenX100.00613530597543333335333367473734069510
18Kevin Gravel (R)X100.00533595636048353135303267483532070510
19Steven SantiniX100.00633555606851353135303265483532069510
20Robert Hagg (R)X100.00454545456745454545454545453230037460
Scratches
1Lucas Wallmark (R)X100.00404040405340404040404040403230019410
2Andreas ThuressonXX100.00359327407333413335333344474036020400
3Jamie DevaneX100.00328535357633423335333335473532020380
4Nikita Gusev (R)X100.00373737374537373737373737373230020380
5William Lagesson (R)X100.00404040406440404040404040403230020420
6Adam AlmquistX100.00328535405233533335333344473532020400
7Nick Ebert (R)X100.00373737376637373737373737373230020400
8Mattias Backman (R)X100.00373737375137373737373737373230020390
TEAM AVERAGE100.0051436657654842414240415646373405449
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
1Laurent Brossoit100.0045457876464646464565453532017500
2Matthew O'Connor100.0045455579464545464565703532069500
Scratches
1Jeremy Smith100.0045454561454545454545453230020450
2Ville Husso (R)100.0040404077404040404040403230020430
3Zane McIntyre (R)100.0037373764373737373737373230020390
TEAM AVERAGE100.004242517143434343425047333102945
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
John Stevens73807175958379CAN503500,000$


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
1Brad BoyesBaby Hawks (Chi)RW70386510327275391312960012.84%10136519.51152237672960005632356.86%29900031.5138001855
2Tyler GaudetBaby Hawks (Chi)C/LW8039589729320491522860013.64%10130516.32922316930000024912251.33%101300001.49110007810
3Freddie HamiltonBaby Hawks (Chi)C/RW8243529527160421653150013.65%13154118.80162036843421015701153.11%178700031.2316000774
4Ryan GarbuttBaby Hawks (Chi)LW/RW7933568928123352431202690012.27%17153119.39618246733210161052054.21%10700101.1627223573
5Joe VitaleBaby Hawks (Chi)C/RW822439631574201181272010011.94%10129815.8481826623130000101266.72%66100010.9702013233
6Tom KuhnhacklBaby Hawks (Chi)LW/RW442033532529568611640012.20%873416.7071017521720000203145.12%8200011.4413100514
7Korbinian HolzerBaby Hawks (Chi)D8214344827661011457850016.47%56159919.509918543360112186400.00%000000.6000002106
8Stephen JohnsBaby Hawks (Chi)D761235472526062631090011.01%75151219.907916602870003204010.00%000000.6201000124
9Frank CorradoBaby Hawks (Chi)D8253843133206759110004.55%74162019.7611314612960000179000.00%000000.5300000101
10Nikita TryamkinBaby Hawks (Chi)D8211223319112015754800013.75%74153518.727815492990111214200.00%000000.4300000211
11Josh ArchibaldBaby Hawks (Chi)RW82131225-1825538110134009.70%7100012.2024624153000022044.90%4900000.5000001022
12Henrik SamuelssonBaby Hawks (Chi)C/LW/RW8291221-1341050104840010.71%1097011.8301121400021121142.79%45100000.4300002121
13Kevin GravelBaby Hawks (Chi)D8251419-62151334330015.15%7891811.202246270111188000.00%000000.4100001011
14Oliver LauridsenBaby Hawks (Chi)D8241418-7114014155360011.11%65103812.6621310400000145110.00%000000.3500000001
15Michael ZalewskiBaby Hawks (Chi)C/LW8261117-9400675163009.52%698412.001014570000641058.53%21700000.3500000000
16Kyle RauBaby Hawks (Chi)C/LW8241317-17603474103003.88%1395211.61000847022112340044.59%14800000.3600000000
17Tyler GraovacBaby Hawks (Chi)C828715226046114780010.26%891211.1301121710141744057.97%102300000.3300000010
18Zack MitchellBaby Hawks (Chi)RW828715-563258931620012.90%28039.800000300021642057.89%3800000.3700032002
19Steven SantiniBaby Hawks (Chi)D824610-1654011745390010.26%78118414.441128450000149000.00%000000.1700000011
20Robert HaggBaby Hawks (Chi)D5124656023960033.33%104238.30011122000024000.00%000000.2800000000
21Lucas WallmarkBaby Hawks (Chi)C36213-7235232850040.00%139410.940000200001121038.07%45700000.1500010000
22Andreas ThuressonBaby Hawks (Chi)LW/RW45000-51752124000.00%32916.4800001700011000052.50%4000000.0000010000
23Mattias BackmanBaby Hawks (Chi)D6000000311000.00%08514.2900002500007000.00%000000.0000000000
Team Total or Average16353045338371519661301624164725630011.86%6282400414.68931602536903452358452585391253.25%637200180.708283815404149
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
1Laurent BrossoitBaby Hawks (Chi)82402880.8773.3045234224920180510.55627820221
2Matthew O'ConnorBaby Hawks (Chi)121410.9062.6143700192020000.0000082000
Team Total or Average94413290.8793.2449604226822200510.556278282221


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 Force Waivers Contract StatusType Current Salary Salary RemainingSalary 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
Adam AlmquistBaby Hawks (Chi)D241991-02-27No174 Lbs5 ft11NoNo2RFAPro & Farm620,000$620,000$Link
Andreas ThuressonBaby Hawks (Chi)LW/RW271987-11-18No212 Lbs6 ft1NoNo2RFAPro & Farm450,000$450,000$Link
Brad BoyesBaby Hawks (Chi)RW331982-04-17No199 Lbs6 ft0YesNo5UFAPro & Farm1,750,000$1,750,000$1,750,000$1,750,000$1,750,000$Link
Frank CorradoBaby Hawks (Chi)D221993-03-26No195 Lbs6 ft0NoNo1RFAPro & Farm585,000$Link
Freddie HamiltonBaby Hawks (Chi)C/RW231992-01-01No195 Lbs6 ft1NoNo2RFAPro & Farm640,000$640,000$Link
Henrik SamuelssonBaby Hawks (Chi)C/LW/RW211994-02-07No210 Lbs6 ft3NoNo3ELCPro & Farm925,000$925,000$925,000$Link
Jamie DevaneBaby Hawks (Chi)LW241991-02-20No217 Lbs6 ft5NoNo2RFAPro & Farm600,000$600,000$Link
Jeremy SmithBaby Hawks (Chi)G261989-04-13No170 Lbs6 ft1NoNo4RFAPro & Farm600,000$600,000$600,000$600,000$Link
Joe VitaleBaby Hawks (Chi)C/RW301985-08-20No205 Lbs5 ft11NoNo4UFAPro & Farm800,000$800,000$800,000$800,000$Link
Josh ArchibaldBaby Hawks (Chi)RW221992-10-06Yes176 Lbs5 ft10NoNo4RFAPro & Farm667,000$667,000$667,000$667,000$Link
Kevin GravelBaby Hawks (Chi)D231992-03-06Yes185 Lbs6 ft4NoNo4RFAPro & Farm667,000$667,000$667,000$667,000$Link
Korbinian HolzerBaby Hawks (Chi)D271988-02-16No215 Lbs6 ft3NoNo1RFAPro & Farm975,000$Link
Kyle RauBaby Hawks (Chi)C/LW221992-10-24No178 Lbs5 ft8NoNo4RFAPro & Farm792,000$792,000$792,000$792,000$Link
Laurent BrossoitBaby Hawks (Chi)G221993-03-23No202 Lbs6 ft3NoNo3RFAPro & Farm642,000$642,000$642,000$Link
Lucas WallmarkBaby Hawks (Chi)C201995-09-05Yes176 Lbs6 ft0NoNo4ELCPro & Farm650,000$650,000$650,000$650,000$Link
Matthew O'ConnorBaby Hawks (Chi)G231992-02-14No205 Lbs6 ft6NoNo4RFAPro & Farm925,000$925,000$925,000$925,000$Link
Mattias BackmanBaby Hawks (Chi)D231992-10-03Yes169 Lbs6 ft2NoNo4RFAPro & Farm792,000$792,000$792,000$792,000$Link
Michael ZalewskiBaby Hawks (Chi)C/LW231992-08-18Yes205 Lbs6 ft2NoNo2RFAPro & Farm925,000$925,000$Link
Nick EbertBaby Hawks (Chi)D211994-05-11Yes203 Lbs6 ft0NoNo4ELCPro & Farm666,000$666,000$666,000$666,000$Link
Nikita GusevBaby Hawks (Chi)LW231992-07-08Yes163 Lbs5 ft9NoNo4RFAPro & Farm525,000$525,000$525,000$525,000$Link
Nikita TryamkinBaby Hawks (Chi)D211994-08-30No228 Lbs6 ft7NoNo4ELCPro & Farm925,000$925,000$925,000$925,000$Link
Oliver LauridsenBaby Hawks (Chi)D261989-03-24No220 Lbs6 ft6NoNo1RFAPro & Farm650,000$Link
Robert HaggBaby Hawks (Chi)D201995-02-08Yes204 Lbs6 ft2NoNo4ELCPro & Farm925,000$925,000$925,000$925,000$Link
Ryan GarbuttBaby Hawks (Chi)LW/RW301985-08-12No195 Lbs6 ft0NoNo6UFAPro & Farm1,750,000$1,750,000$1,750,000$1,750,000$1,750,000$1,750,000$Link
Stephen JohnsBaby Hawks (Chi)D231992-04-18Yes225 Lbs6 ft4NoNo4RFAPro & Farm800,000$800,000$800,000$800,000$Link
Steven SantiniBaby Hawks (Chi)D201995-03-07No207 Lbs6 ft2NoNo4ELCPro & Farm925,000$925,000$925,000$925,000$Link
Tom KuhnhacklBaby Hawks (Chi)LW/RW231992-01-21Yes196 Lbs6 ft2NoNo4RFAPro & Farm575,000$575,000$575,000$575,000$Link
Tyler GaudetBaby Hawks (Chi)C/LW221993-04-04Yes205 Lbs6 ft3NoNo3RFAPro & Farm925,000$925,000$925,000$Link
Tyler GraovacBaby Hawks (Chi)C221993-04-27Yes200 Lbs6 ft5NoNo3RFAPro & Farm767,000$767,000$767,000$Link
Ville HussoBaby Hawks (Chi)G201995-02-06Yes205 Lbs6 ft3NoNo4ELCPro & Farm650,000$650,000$650,000$650,000$Link
William LagessonBaby Hawks (Chi)D191996-02-22Yes196 Lbs6 ft2NoNo4ELCPro & Farm650,000$650,000$650,000$650,000$Link
Zack MitchellBaby Hawks (Chi)RW221993-01-07Yes185 Lbs6 ft0NoNo4RFAPro & Farm615,000$615,000$615,000$615,000$Link
Zane McIntyreBaby Hawks (Chi)G231992-08-20Yes177 Lbs6 ft1NoNo4RFAPro & Farm925,000$925,000$925,000$925,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3323.33197 Lbs6 ft23.39796,303$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ryan GarbuttFreddie HamiltonBrad Boyes40122
2Tom KuhnhacklTyler GaudetJoe Vitale30122
3Michael ZalewskiHenrik SamuelssonJosh Archibald20122
4Kyle RauTyler GraovacZack Mitchell10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Korbinian HolzerStephen Johns40122
2Nikita TryamkinFrank Corrado30122
3Steven SantiniKevin Gravel20122
4Oliver LauridsenRobert Hagg10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ryan GarbuttFreddie HamiltonBrad Boyes60122
2Tom KuhnhacklTyler GaudetJoe Vitale40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Korbinian HolzerStephen Johns60122
2Nikita TryamkinFrank Corrado40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Tyler GraovacKyle Rau60122
2Henrik SamuelssonZack Mitchell40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Steven SantiniKevin Gravel60122
2Oliver LauridsenRobert Hagg40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Tyler Graovac60122Steven SantiniKevin Gravel60122
2Kyle Rau40122Oliver LauridsenRobert Hagg40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Brad BoyesRyan Garbutt60122
2Tom KuhnhacklFreddie Hamilton40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Korbinian HolzerStephen Johns60122
2Nikita TryamkinFrank Corrado40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Ryan GarbuttFreddie HamiltonBrad BoyesKorbinian HolzerStephen Johns
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ryan GarbuttFreddie HamiltonBrad BoyesKorbinian HolzerStephen Johns
Extra Forwards
Normal PowerPlayPenalty Kill
Tyler Graovac, Henrik Samuelsson, Michael ZalewskiTyler Graovac, Henrik SamuelssonMichael Zalewski
Extra Defensemen
Normal PowerPlayPenalty Kill
Steven Santini, Kevin Gravel, Oliver LauridsenSteven SantiniKevin Gravel, Oliver Lauridsen
Penalty Shots
Brad Boyes, Ryan Garbutt, Tom Kuhnhackl, Freddie Hamilton, Tyler Gaudet
Goalie
#1 : Laurent Brossoit, #2 : Matthew O'Connor


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
Admirals312000001213-11010000035-22110000098120.3331224360013096779118855845849428321365917423.53%12558.33%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Falcons21100000871110000006421010000023-120.5008142200130967795185584584942411428361317.69%14471.43%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Bruins22000000954110000004131100000054141.0009152400130967795885584584942512014398225.00%7185.71%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Crunch2010000179-21000000134-11010000045-110.25071219001309677965855845849425916283311327.27%14378.57%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Heat321000001661022000000132111010000034-140.6671626420013096779121855845849428319227515533.33%11190.91%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Phantoms220000001147110000004221100000072541.000111930001309677989855845849424114104415533.33%5180.00%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Monsters50400100919-1030200100513-82020000046-210.100917260013096779121855845849421434062912015.00%24675.00%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Jayhawks532000001915432100000141042110000055060.600193352001309677915185584584942130365710720420.00%26484.62%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Cougars2110000067-1110000005231010000015-420.500681400130967795885584584942641620448112.50%10190.00%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Oil Kings330000001257110000005142200000074361.0001220320013096779112855845849425023204817211.76%10280.00%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Sound Tigers20200000410-61010000035-21010000015-400.000481200130967794685584584942601152391300.00%15473.33%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Monarchs30300000814-61010000035-22020000059-400.00081523101309677978855845849429332475310110.00%20765.00%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Minnesota43100000181442200000010642110000088060.7501831490013096779160855845849429121368625416.00%17570.59%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Spiders21100000710-3110000005321010000027-520.50071219001309677957855845849426018223614321.43%11190.91%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Senators2020000058-31010000023-11010000035-200.0005813001309677959855845849426924243913323.08%10280.00%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Manchots220000001064110000006421100000042241.000101828001309677963855845849426017412710220.00%13284.62%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Wolf Pack20100100911-21010000034-11000010067-110.25091625001309677979855845849425814234414428.57%9455.56%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Sharks31200000910-11010000045-12110000055020.33391524011309677971855845849427021485816531.25%13376.92%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Chiefs5210110012111210010006333110010068-270.70012233500130967791188558458494213340648715213.33%27292.59%21412261354.04%1233238051.81%750138354.23%2078142118006271086557
Thunder20000011880100000104311000000145-130.75081220001309677978855845849425414224812433.33%10280.00%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Marlies211000007611010000012-11100000064220.5007142100130967795385584584942532028389333.33%14285.71%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Comets320000011871122000000153121000000134-150.8331832500013096779104855845849427226246815533.33%11372.73%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Cabaret Lady Mary Ann211000001293110000006151010000068-220.500122032001309677976855845849428917205310440.00%9277.78%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
IceCaps53100010191183200001012572110000076180.80019304901130967791368558458494291226710129413.79%26484.62%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Chill330000001385220000007341100000065161.0001320330013096779102855845849428412405516637.50%14378.57%11412261354.04%1233238051.81%750138354.23%2078142118006271086557
Rocket220000001082110000003211100000076141.00010182800130967796085584584942522031319333.33%13653.85%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Bears211000006511010000013-21100000052320.5006111700130967795385584584942802322328562.50%10190.00%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Caroline2110000079-2110000005411010000025-320.50071219001309677953855845849426111225611327.27%10370.00%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Las Vegas502000031520-52010000179-230100002811-330.30015304500130967791738558458494214646409728414.29%17476.47%01412261354.04%1233238051.81%750138354.23%2078142118006271086557
Vs Division2165011038863251041010015024261124001023839-1180.429881522401113096779706855845849425351542374161062826.42%912473.63%11412261354.04%1233238051.81%750138354.23%2078142118006271086557
Vs Conference4521160120516814523231450110298623622711001037083-13510.567168296464001309677914258558458494212263514749142134420.66%2134479.34%21412261354.04%1233238051.81%750138354.23%2078142118006271086557
Since Last GM Reset8238320132630627531412312011221651174841152000204141158-17910.5553065338391213096779256385584584942222162897016244219322.09%4028878.11%31412261354.04%1233238051.81%750138354.23%2078142118006271086557
Total8238320132630627531412312011221651174841152000204141158-17910.5553065338391213096779256385584584942222162897016244219322.09%4028878.11%31412261354.04%1233238051.81%750138354.23%2078142118006271086557

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8291L130653383925632221628970162412
All Games
GPWLOTWOTL SOWSOLGFGA
8238321326306275
Home Games
GPWLOTWOTL SOWSOLGFGA
4123121122165117
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4115200204141158
Last 10 Games
WLOTWOTL SOWSOL
630001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
4219322.09%4028878.11%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8558458494213096779
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1412261354.04%1233238051.81%750138354.23%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2078142118006271086557


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 - 2016-10-122Chiefs2Baby Hawks4WBoxScore
3 - 2016-10-1414Baby Hawks1Las Vegas2LXXBoxScore
4 - 2016-10-1527Las Vegas4Baby Hawks3LXXBoxScore
7 - 2016-10-1846Phantoms2Baby Hawks4WBoxScore
10 - 2016-10-2163Baby Hawks2Falcons3LBoxScore
11 - 2016-10-2269Marlies2Baby Hawks1LBoxScore
13 - 2016-10-2482Heat1Baby Hawks9WBoxScore
17 - 2016-10-28107Baby Hawks2Spiders7LBoxScore
19 - 2016-10-30128Monarchs5Baby Hawks3LBoxScore
21 - 2016-11-01135Heat1Baby Hawks4WBoxScore
23 - 2016-11-03157Monsters4Baby Hawks0LBoxScore
25 - 2016-11-05171Baby Hawks3Jayhawks2WBoxScore
26 - 2016-11-06178Jayhawks4Baby Hawks5WBoxScore
29 - 2016-11-09195Baby Hawks4Chiefs1WBoxScore
31 - 2016-11-11209Bears3Baby Hawks1LBoxScore
33 - 2016-11-13226Rocket2Baby Hawks3WBoxScore
35 - 2016-11-15234Baby Hawks3IceCaps5LBoxScore
38 - 2016-11-18259Baby Hawks3Heat4LBoxScore
39 - 2016-11-19264Baby Hawks3Comets4LXXBoxScore
41 - 2016-11-21281Baby Hawks3Oil Kings1WBoxScore
43 - 2016-11-23299Baby Hawks3Sharks0WBoxScore
45 - 2016-11-25311Baby Hawks2Admirals3LBoxScore
46 - 2016-11-26320Baby Hawks3Monarchs5LBoxScore
49 - 2016-11-29336Cabaret Lady Mary Ann1Baby Hawks6WBoxScore
51 - 2016-12-01353Spiders3Baby Hawks5WBoxScore
53 - 2016-12-03368Baby Hawks7Phantoms2WBoxScore
54 - 2016-12-04374IceCaps0Baby Hawks4WBoxScore
56 - 2016-12-06387Chill2Baby Hawks3WBoxScore
59 - 2016-12-09409Wolf Pack4Baby Hawks3LBoxScore
61 - 2016-12-11427Jayhawks5Baby Hawks3LBoxScore
63 - 2016-12-13439Baby Hawks6Wolf Pack7LXBoxScore
65 - 2016-12-15446Baby Hawks1Sound Tigers5LBoxScore
67 - 2016-12-17467Baby Hawks1Chiefs2LXBoxScore
68 - 2016-12-18471Sharks5Baby Hawks4LBoxScore
70 - 2016-12-20489Senators3Baby Hawks2LBoxScore
73 - 2016-12-23516Monsters5Baby Hawks2LBoxScore
77 - 2016-12-27523IceCaps3Baby Hawks4WXXBoxScore
79 - 2016-12-29537Baby Hawks4Las Vegas5LBoxScore
80 - 2016-12-30544Baby Hawks2Caroline5LBoxScore
83 - 2017-01-02562Baby Hawks1Chiefs5LBoxScore
86 - 2017-01-05582Crunch4Baby Hawks3LXXBoxScore
87 - 2017-01-06587Caroline4Baby Hawks5WBoxScore
89 - 2017-01-08607Las Vegas5Baby Hawks4LBoxScore
91 - 2017-01-10616Cougars2Baby Hawks5WBoxScore
94 - 2017-01-13634Baby Hawks5Bears2WBoxScore
96 - 2017-01-15652Minnesota4Baby Hawks6WBoxScore
98 - 2017-01-17668Baby Hawks2Monsters3LBoxScore
101 - 2017-01-20685Baby Hawks5Bruins4WBoxScore
103 - 2017-01-22706Comets1Baby Hawks7WBoxScore
105 - 2017-01-24722Thunder3Baby Hawks4WXXBoxScore
107 - 2017-01-26734IceCaps2Baby Hawks4WBoxScore
112 - 2017-01-31745Baby Hawks2Sharks5LBoxScore
114 - 2017-02-02764Baby Hawks6Chill5WBoxScore
116 - 2017-02-04781Baby Hawks2Jayhawks3LBoxScore
120 - 2017-02-08801Baby Hawks6Minnesota2WBoxScore
122 - 2017-02-10814Baby Hawks4IceCaps1WBoxScore
123 - 2017-02-11827Baby Hawks4Oil Kings3WBoxScore
130 - 2017-02-18863Oil Kings1Baby Hawks5WBoxScore
131 - 2017-02-19869Baby Hawks4Crunch5LBoxScore
133 - 2017-02-21889Baby Hawks2Minnesota6LBoxScore
135 - 2017-02-23898Chill1Baby Hawks4WBoxScore
138 - 2017-02-26917Chiefs1Baby Hawks2WXBoxScore
141 - 2017-03-01935Manchots4Baby Hawks6WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
143 - 2017-03-03951Sound Tigers5Baby Hawks3LBoxScore
144 - 2017-03-04959Baby Hawks3Las Vegas4LXXBoxScore
149 - 2017-03-09994Admirals5Baby Hawks3LBoxScore
150 - 2017-03-10996Baby Hawks1Cougars5LBoxScore
152 - 2017-03-121012Minnesota2Baby Hawks4WBoxScore
154 - 2017-03-141032Baby Hawks7Rocket6WBoxScore
156 - 2017-03-161044Baby Hawks3Senators5LBoxScore
158 - 2017-03-181055Baby Hawks6Marlies4WBoxScore
159 - 2017-03-191063Monsters4Baby Hawks3LXBoxScore
161 - 2017-03-211084Comets2Baby Hawks8WBoxScore
163 - 2017-03-231098Jayhawks1Baby Hawks6WBoxScore
165 - 2017-03-251108Baby Hawks6Cabaret Lady Mary Ann8LBoxScore
167 - 2017-03-271126Baby Hawks4Thunder5LXXBoxScore
169 - 2017-03-291137Baby Hawks4Manchots2WBoxScore
171 - 2017-03-311152Falcons4Baby Hawks6WBoxScore
173 - 2017-04-021165Bruins1Baby Hawks4WBoxScore
175 - 2017-04-041183Baby Hawks2Monsters3LBoxScore
177 - 2017-04-061194Baby Hawks7Admirals5WBoxScore
179 - 2017-04-081220Baby Hawks2Monarchs4LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price5020
Attendance6146230627
Attendance PCT74.95%74.70%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2246 - 74.87% 89,894$3,685,640$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
2,627,800$ 2,627,800$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
3,124,216$ 14,518$ 2,621,363$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 17,281$ 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
20168238320132630627531412312011221651174841152000204141158-17763065338391213096779256385584584942222162897016244219322.09%4028878.11%31412261354.04%1233238051.81%750138354.23%2078142118006271086557
Total Regular Season8238320132630627531412312011221651174841152000204141158-17763065338391213096779256385584584942222162897016244219322.09%4028878.11%31412261354.04%1233238051.81%750138354.23%2078142118006271086557