Gulls

GP: 63 | W: 14 | L: 45 | OTL: 4 | P: 32
GF: 148 | GA: 249 | PP%: 12.07% | PK%: 75.73%
GM : Loic Roberge | Morale : 50 | Team Overall : 63
Next Games #998 vs IceHogs

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
1Michael Dal ColleXX100.007542896384757764536160626567648650630
2Michael SgarbossaX100.005946876271787563746261646275685450620
3Tim SchallerXXX100.007242836383657261535962676178684650620
4Andreas MartinsenXX100.007345896085747558525757596078705550610
5Lias AnderssonXX100.006342846175777862745859606563628750610
6Joseph LaBateX100.007563765891858657535656605873675250610
7Nathan GerbeXXX100.005539866558767063716259576582725150610
8Laurent DauphinXX100.005946876173807959716058625969657250610
9J.T. BrownX100.006346856267757761566060586278705650610
10Ross ColtonX100.006453845976888958615957565967645850610
11Keaton MiddletonX100.008659795699878355305454624663626450650
12Dillon HeatheringtonX100.006852865990828057305856605169756850640
13Logan StanleyX100.008463765599858656305453624563628350640
14Chad RuhwedelX100.007639846071786759305855664878693650630
15Mason GeertsenX100.007373675589868756305452594569655850630
16Mark AltX100.006547895987767458305757605377795750630
17Gabriel CarlssonX100.006545846188827859305857605165637950630
18Dennis GilbertX100.007255775984817958305756615267646250630
19Paul LaDueX100.006445886180787362306058595575685150620
20Simon BenoitX100.006450875881878957305653594563625450620
21Frederic AllardX100.005748886173878959305853564565636450610
Scratches
1Calvin ThurkaufXX100.006445876182787559635858605965625650600
2J.C. BeaudinXX100.006243886077797658695759615865636650600
3JC LiponX100.005667696071878858555757566073675450600
4Simon Holmstrom (R)X100.005841795974828157515356545759608350580
5Alex DostieXX100.005239885556838254585256515465635950560
6Guillaume BriseboisX100.005943895975777258305756605265636650600
TEAM AVERAGE100.00664984607980795947575760556966625062
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
1Anton Forsberg100.00756664827473757473757475815750720
2Landon Bow100.00747068937372747372747369736250720
Scratches
1Kevin Boyle100.00746765757372747372747375815750710
2Dereck Baribeau100.00645351966362646362646361656450640
TEAM AVERAGE100.0072646287717072717072717075605070
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Glen Gulutzan71707269726777CAN4842,500,000$


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
1Frederik GauthierAnaheim DucksC61152742-331215187159239691656.28%26146424.01412166826220292521062.88%173200000.5702010411
2Michael Dal ColleGulls (Ana)LW/RW63152439-1970109284206601587.28%13117918.7251015522450115920157.48%12700000.6602001024
3Kurtis MacDermidAnaheim DucksD647303719116101546813345855.26%88146522.9041115962961233250400.00%000000.5000011133
4Keaton MiddletonGulls (Ana)D63102636-29115151474290286411.11%73149323.707916562770111268000.00%000000.4800030131
5Tim SchallerGulls (Ana)C/LW/RW63181533-10580112701727114810.47%6101716.15551036231000000053.85%6500010.6500000212
6Michael SgarbossaGulls (Ana)C63161430-833531131148499210.81%1391614.5511214350001221059.37%79000000.6500100221
7Rasmus AsplundAnaheim DucksC/LW/RW40131427-1612013581272710410.24%671817.97279331650000272153.85%3900000.7500000110
8Dillon HeatheringtonGulls (Ana)D6371926-17731560499330537.53%70129220.52459602470000232200.00%000000.4000111000
9Paul CareyAnaheim DucksC/LW48131225-4220355914842898.78%885417.804374516510141050060.20%9800010.5902000221
10J.T. BrownGulls (Ana)RW6381321-4460506310228687.84%682713.14000114000002064.10%3900000.5100000311
11Cal O'ReillyAnaheim DucksC4441620-525535708732674.60%1199722.6804413156000112151057.57%83200000.4001000100
12Mark AltGulls (Ana)D63612182201017201871333.33%2364410.2301149000030110.00%000000.5600002010
13Dennis GilbertGulls (Ana)D6511516-3540108512912283.45%52106916.460119880000137000.00%000000.3000000121
14Mason GeertsenGulls (Ana)D6331114-29115963319161615.79%3379612.6410146000056000.00%000000.3500111001
15Chad RuhwedelGulls (Ana)D634913-940070355015278.00%4285013.50202241150111119000.00%000000.3100000000
16Andreas MartinsenGulls (Ana)LW/RW496511-8480473652125011.54%457911.82000020001660042.17%8300000.3800000011
17Lias AnderssonGulls (Ana)C/LW63189-514031356516451.54%34336.88000220001140051.19%8400000.4211000000
18Logan StanleyGulls (Ana)D29448-745549252842114.29%2564322.20213171140000127000.00%000000.2500001100
19Ross ColtonGulls (Ana)C49112060917133147.69%32074.230000110001990054.19%17900000.1900000000
Team Total or Average1079152275427-15810099513431105181956613078.36%5051745116.174170111534245045938211814359.61%406800020.4918377192017
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
Alex DostieC/LW231997-04-13No174 Lbs5 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Andreas MartinsenLW/RW301990-06-13No225 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Anton ForsbergG281992-11-27No192 Lbs6 ft3NoNoNo3UFAPro & Farm750,000$0$0$NoLink / NHL Link
Calvin ThurkaufC/LW231997-06-27No204 Lbs6 ft2NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Chad RuhwedelD301990-05-07No191 Lbs5 ft11NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Dennis GilbertD241996-10-30No216 Lbs6 ft2NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Dereck BaribeauG211999-01-22No218 Lbs6 ft6NoNoNo4ELCPro & Farm300,000$0$0$NoLink / NHL Link
Dillon HeatheringtonD251995-05-09No220 Lbs6 ft4NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Frederic AllardD231997-12-27No179 Lbs6 ft1NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Gabriel CarlssonD241997-01-02No192 Lbs6 ft5NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Guillaume BriseboisD231997-07-21No175 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
J.C. BeaudinC/RW231997-03-25No196 Lbs6 ft1NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
J.T. BrownRW301990-07-02No182 Lbs5 ft10NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
JC LiponRW271993-07-10No183 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Joseph LaBateLW271993-04-16No210 Lbs6 ft5NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Keaton MiddletonD221998-02-10No240 Lbs6 ft6NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Kevin BoyleG281992-05-30No201 Lbs6 ft0NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Landon BowG251995-08-24No220 Lbs6 ft5NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Laurent DauphinC/LW251995-03-27No180 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Lias AnderssonC/LW221998-10-13No190 Lbs6 ft1NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Logan StanleyD221998-05-26No228 Lbs6 ft7NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Mark AltD291991-10-18No201 Lbs6 ft4NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Mason GeertsenD251995-04-19No212 Lbs6 ft4NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Michael Dal ColleLW/RW241996-06-20No204 Lbs6 ft3NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Michael SgarbossaC281992-07-25No185 Lbs6 ft0NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Nathan GerbeC/LW/RW331987-07-24No169 Lbs5 ft4NoNoNo2UFAPro & Farm400,000$0$0$NoLink / NHL Link
Paul LaDueD281992-09-06No200 Lbs6 ft2NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Ross ColtonC241996-09-11No209 Lbs6 ft0NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Simon BenoitD221998-09-19No189 Lbs6 ft3NoNoNo3ELCPro & Farm300,000$0$0$NoLink / NHL Link
Simon HolmstromRW192001-05-24Yes183 Lbs6 ft1NoNoNo1ELCPro & Farm0$0$NoNHL Link
Tim SchallerC/LW/RW301990-11-16No204 Lbs6 ft2NoNoNo4UFAPro & Farm300,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3125.39199 Lbs6 ft22.19417,742$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
2Michael Dal ColleTim Schaller30122
3Lias AnderssonMichael SgarbossaJ.T. Brown20122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Keaton Middleton40122
2Dillon Heatherington30122
3Mason GeertsenDennis Gilbert20122
4Mark AltChad Ruhwedel10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2Michael Dal ColleTim Schaller40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Keaton Middleton60122
2Dillon Heatherington40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Keaton Middleton60122
2Dillon Heatherington40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Keaton Middleton60122
240122Dillon Heatherington40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Keaton Middleton60122
2Dillon Heatherington40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Keaton Middleton
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Keaton Middleton
Extra Forwards
Normal PowerPlayPenalty Kill
Michael Sgarbossa, Lias Andersson, Michael Sgarbossa, Lias Andersson
Extra Defensemen
Normal PowerPlayPenalty Kill
Mason Geertsen, Dennis Gilbert, Mark AltMason GeertsenDennis Gilbert, Mark Alt
Penalty Shots
, , , , Michael Dal Colle
Goalie
#1 : , #2 :


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
6332L214825340117601598448902116900
All Games
GPWLOTWOTL SOWSOLGFGA
6313450311148249
Home Games
GPWLOTWOTL SOWSOLGFGA
32821021082131
Visitor Games
GPWLOTWOTL SOWSOLGFGA
31524010166118
Last 10 Games
WLOTWOTL SOWSOL
460000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3233912.07%3799275.73%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
586576587215845441
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1157205556.30%869162953.35%57599457.85%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
161611531424441754383


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
2 - 2020-10-1914Gulls2Heat3LBoxScore
4 - 2020-10-2126Bears6Gulls1LBoxScore
5 - 2020-10-2239Gulls2Sound Tigers4LBoxScore
6 - 2020-10-2357Marlies6Gulls1LBoxScore
8 - 2020-10-2572Reign2Gulls6WBoxScore
9 - 2020-10-2692Gulls1Wolf Pack2LBoxScore
12 - 2020-10-29103Gulls1Penguins5LBoxScore
13 - 2020-10-30116Penguins6Gulls1LBoxScore
14 - 2020-10-31131Bears6Gulls1LBoxScore
19 - 2020-11-05158Bruins6Gulls1LBoxScore
21 - 2020-11-07173Gulls4Moose1WBoxScore
22 - 2020-11-08184Gulls2Devils4LBoxScore
24 - 2020-11-10199Crunch5Gulls2LBoxScore
29 - 2020-11-15225Americans6Gulls4LBoxScore
32 - 2020-11-18249Senators4Gulls1LBoxScore
34 - 2020-11-20272Gulls1Comets5LBoxScore
36 - 2020-11-22282Phantoms6Gulls1LBoxScore
38 - 2020-11-24302Gulls7Moose1WBoxScore
39 - 2020-11-25313Barracuda4Gulls3LBoxScore
41 - 2020-11-27327Gulls2Barracuda3LXXBoxScore
44 - 2020-11-30341Roadrunners5Gulls4LBoxScore
46 - 2020-12-02360Gulls1Stars3LBoxScore
47 - 2020-12-03372Gulls2Devils7LBoxScore
48 - 2020-12-04378Bears3Gulls6WBoxScore
52 - 2020-12-08401Gulls3Americans4LXBoxScore
53 - 2020-12-09412Rocket1Gulls0LBoxScore
56 - 2020-12-12431Gulls2Marlies3LBoxScore
57 - 2020-12-13441Rampage4Gulls3LXBoxScore
59 - 2020-12-15463Gulls1Crunch4LBoxScore
60 - 2020-12-16473Penguins4Gulls1LBoxScore
63 - 2020-12-19488Gulls3Checkers5LBoxScore
64 - 2020-12-20506Gulls0Wolves6LBoxScore
65 - 2020-12-21509Stars4Gulls2LBoxScore
67 - 2020-12-23535Wild2Gulls6WBoxScore
72 - 2020-12-28554Gulls1Monsters4LBoxScore
74 - 2020-12-30568Crunch3Gulls1LBoxScore
77 - 2021-01-02587Gulls3Rocket5LBoxScore
79 - 2021-01-04599Checkers3Gulls0LBoxScore
81 - 2021-01-06623Gulls4Condors1WBoxScore
82 - 2021-01-07629Reign1Gulls3WBoxScore
85 - 2021-01-10644Gulls2Monsters4LBoxScore
86 - 2021-01-11657Admirals2Gulls4WBoxScore
89 - 2021-01-14671Gulls2Rampage3LBoxScore
90 - 2021-01-15684Gulls1Phantoms3LBoxScore
94 - 2021-01-19693Bruins5Gulls2LBoxScore
95 - 2021-01-20712Gulls1Bruins3LBoxScore
97 - 2021-01-22728Griffins5Gulls4LXBoxScore
100 - 2021-01-25751Senators3Gulls4WXXBoxScore
102 - 2021-01-27767Gulls2Penguins3LBoxScore
104 - 2021-01-29778Gulls1Heat7LBoxScore
106 - 2021-01-31788IceHogs2Gulls3WBoxScore
108 - 2021-02-02811Gulls3Roadrunners7LBoxScore
109 - 2021-02-03820Sound Tigers5Gulls3LBoxScore
114 - 2021-02-08845Moose2Gulls6WBoxScore
116 - 2021-02-10854Gulls1Admirals4LBoxScore
118 - 2021-02-12873Gulls5Eagles4WBoxScore
119 - 2021-02-13881Devils6Gulls1LBoxScore
120 - 2021-02-14893Gulls0Barracuda3LBoxScore
124 - 2021-02-18911Gulls3Griffins2WBoxScore
126 - 2021-02-20919Wolf Pack6Gulls1LBoxScore
128 - 2021-02-22939Thunderbirds4Gulls5WBoxScore
131 - 2021-02-25965Gulls3Wolves5LBoxScore
132 - 2021-02-26974Americans4Gulls1LBoxScore
134 - 2021-02-28998IceHogs-Gulls-
136 - 2021-03-021012Gulls-Wild-
138 - 2021-03-041030Gulls-Roadrunners-
139 - 2021-03-051037Eagles-Gulls-
142 - 2021-03-081057Gulls-Sound Tigers-
143 - 2021-03-091063Gulls-Reign-
144 - 2021-03-101075Marlies-Gulls-
147 - 2021-03-131096Gulls-Thunderbirds-
148 - 2021-03-141105Wolf Pack-Gulls-
Trade Deadline --- Trades can’t be done after this day is simulated!
152 - 2021-03-181122Gulls-IceHogs-
153 - 2021-03-191134Condors-Gulls-
156 - 2021-03-221157Comets-Gulls-
157 - 2021-03-231167Gulls-Phantoms-
158 - 2021-03-241171Gulls-Senators-
161 - 2021-03-271198Heat-Gulls-
167 - 2021-04-021221Wolves-Gulls-
168 - 2021-04-031234Gulls-Wolf Pack-
172 - 2021-04-071251Monsters-Gulls-
175 - 2021-04-101269Gulls-Bears-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance60,38229,917
Attendance PCT94.35%93.49%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
9 2822 - 94.06% 70,458$2,254,670$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,987,737$ 129,500$ 7,778$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 109,233$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
634,126$ 44 14,856$ 653,664$




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
1282195602221209364-15541102801011101173-724192801210108191-834920938459302075715921610722702730313086386716994084210.29%3626881.22%3835221737.66%954271235.18%474127337.23%151310332514606912394
136844160412123312111234216040211285870342310001001056342102233421654090997454172806055635431408440112015043746717.91%4575787.53%61178203457.92%1008191452.66%54994558.10%194214091360448803436
146836200453025318667341911012101491034634179033201048321912534557080100105825924260789818796194854380114582524317.06%3344985.33%71284221457.99%1051194154.15%578100757.40%183513601517438765398
1563134500311148249-101328210021082131-49315240010166118-5232148253401005845441176058657658721159844890211693233912.07%3799275.73%31157205556.30%869162953.35%57599457.85%161611531424441754383
Total Regular Season2811121370101183843920-77141586606452460465-5140547104731383455-72274843151323560215832427117380755862692267020908084229436905830135719114.08%153226682.64%194454852052.28%3882819647.36%2176421951.58%690849576817193432351613
Playoff
13624000001619-33120000088031200000811-3416314700063613403736481543584130441125.00%401075.00%07518939.68%8621240.57%318735.63%148103159487737
Total Playoff624000001619-33120000088031200000811-3416314700063613403736481543584130441125.00%401075.00%07518939.68%8621240.57%318735.63%148103159487737