Login

Gulls
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Videoj | Morale : 40 | Team Overall : 58
Next Games #9 vs Firebirds
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Firebirds
0-0-0, 0pts
2022-09-14
Gulls
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0.00Goals Per Game0.00
0.00Goals Against Per Game0.00
0.00%Power Play Percentage0.00%
0.00%Penalty Kill Percentage0.00%
Gulls
0-0-0, 0pts
2022-09-17
Islanders
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0.00Goals Per Game0.00
0.00Goals Against Per Game0.00
0.00%Power Play Percentage0.00%
0.00%Penalty Kill Percentage0.00%
Gulls
0-0-0, 0pts
2022-09-19
Wolf Pack
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0.00Goals Per Game0.00
0.00Goals Against Per Game0.00
0.00%Power Play Percentage0.00%
0.00%Penalty Kill Percentage0.00%
Team Leaders

Team Stats
Goals For
0
0.00 GFG
Shots For
0
0.00 Avg
Power Play Percentage
0.0%
0 GF
Offensive Zone Start
0.0%
Goals Against
0
0.00 GAA
Shots Against
0
0.00 Avg
Penalty Kill Percentage
0.0%
0 GA
Defensive Zone Start
0.0%
Team Info

General ManagerVideoj
CoachTed Nolan
DivisionPacific Division
ConferenceWestern Conference
CaptainRiley Sheahan
Assistant #1Mikey Anderson
Assistant #2Jordan Spence


Arena Info

Capacity3,000
Attendance0
Season Tickets0


Roster Info

Pro Team30
Farm Team18
Contract Limit48 / 90
Prospects39


Team History

This Season0-0-0 (0PTS)
History84-60-22 (0.506%)
Playoff Appearances2
Playoff Record (W-L)4-8
Stanley Cup0


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 Average
1Riley Sheahan (C)0X100.005149905888777359726659686175810406203011,650,000$
2Brendan Gaunce0X100.00784977568862566178636661636171040600281750,000$
3Connor McMichael0X100.00594085657976696165646362625262040600212863,333$
4Anders Bjork0X100.005144896083796755496160646055650405902611,600,000$
5Alexey Toropchenko (R)0XX100.00945680539263575551616062605466040580232850,000$
6Brandon Biro (R)0X100.00703875647660446340696161615362040580241925,000$
7Marian Studenic0XX100.00614085628069535751636164615363040580231900,000$
8Nicholas Merkley0X100.005043755881603762406862626153630405702511,250,000$
9Jean-Luc Foudy (R)0X100.00503975587760435660635962605463040560203850,000$
10Adam Beckman (R)0X100.00534175588060555840645961605161040560212925,000$
11Riley Tufte0X100.00675576509160515552615962605262040560242900,000$
12Yevgeni Oksentyuk (R)0XXX100.00503675607360265340615962605161040540213750,000$
13Mikey Anderson (A)0X100.009344996382857365206460756053660406702311,750,000$
14Jordan Spence (R) (A)0X100.00774082657863577520726268615263040630213850,000$
15Urho Vaakanainen0X100.006845855884695469206757705953630406202311,000,000$
16Nikita Okhotiuk (R)0X100.00994477568360536620626066605265040610212789,167$
17Jack Ahcan0X100.00774077607760456920646366625162040600252800,000$
18Joey Keane0X100.00704775588060517020666263615665040590231925,000$
Scratches
1Graeme Clarke (R)0X100.00503975597760305740635962605262040550212850,833$
2Serron Noel (R)0X100.00505675528760425440625762595262040550222925,000$
3Jakub Lauko0X100.00505175568060325340625662585262040540221900,000$
4Curtis Hall (R)0X100.00504875498860305060595562585161040530222925,000$
5Josh Dunne0X100.00505275518860105560616062605161040530231925,000$
6Juuso Valimaki0X100.006648775487604170206757685955640405902411,000,000$
7Jett Woo (R)0X100.00504575528360206520625968605161040560222860,833$
8Michael Callahan (R)0X100.00504475528460106420605868595060040550232850,000$
9Nick Wolff (R)0X100.005070754891601066206356685851610405502611,000,000$
TEAM AVERAGE100.0062467957836444614064606460546404058
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
1Joey Daccord100.0065737085696966706966677169040680
2Josef Korenar100.0054656284585857595855577068040600
Scratches
1Evan Fitzpatrick100.0044545187494847494945477068040530
TEAM AVERAGE100.005464618559585759595557706804060
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ted Nolan75757575757575CAN658500,000$


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 RemainingSalary AverageSalary Ave RemainingSalary 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 BeckmanGulls (ANA)LW215/10/2001Yes182 Lbs6 ft2NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Link
Alexey ToropchenkoGulls (ANA)LW/RW236/25/1999Yes222 Lbs6 ft6NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Link
Anders Bjork (1 Way Contract)Gulls (ANA)LW268/5/1996No197 Lbs6 ft0NoNoNo1Pro & Farm1,600,000$1,583,069$1,600,000$1,583,069$475,000$469,974$NoLink
Brandon BiroGulls (ANA)LW243/11/1998Yes170 Lbs5 ft11NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLink
Brendan GaunceGulls (ANA)C283/25/1994No214 Lbs6 ft3NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLink
Connor McMichaelGulls (ANA)C211/15/2001No180 Lbs6 ft0NoNoNo2Pro & Farm863,333$854,197$863,333$854,197$0$0$No863,333$Link
Curtis HallGulls (ANA)C224/26/2000Yes210 Lbs6 ft4NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Link
Evan FitzpatrickGulls (ANA)G247/1/1998No205 Lbs6 ft3NoNoNo1Pro & Farm900,000$890,476$900,000$890,476$0$0$NoLink
Graeme ClarkeGulls (ANA)RW214/24/2001Yes175 Lbs5 ft11NoNoNo2Pro & Farm850,833$841,829$850,833$841,829$0$0$No850,833$Link
Jack AhcanGulls (ANA)D255/18/1997No180 Lbs5 ft9NoNoNo2Pro & Farm800,000$791,534$800,000$791,534$0$0$No800,000$Link
Jakub LaukoGulls (ANA)LW223/28/2000No184 Lbs6 ft0NoNoNo1Pro & Farm900,000$890,476$900,000$890,476$0$0$NoLink
Jean-Luc FoudyGulls (ANA)C205/13/2002Yes175 Lbs5 ft11NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Link
Jett WooGulls (ANA)D227/27/2000Yes198 Lbs6 ft0NoNoNo2Pro & Farm860,833$851,724$860,833$851,724$0$0$No860,833$Link
Joey DaccordGulls (ANA)G268/19/1996No196 Lbs6 ft2NoNoNo2Pro & Farm800,000$791,534$800,000$791,534$0$0$No800,000$Link
Joey KeaneGulls (ANA)D237/2/1999No187 Lbs6 ft0NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLink
Jordan SpenceGulls (ANA)D212/24/2001Yes180 Lbs5 ft10NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Link
Josef KorenarGulls (ANA)G241/31/1998No185 Lbs6 ft1NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLink
Josh DunneGulls (ANA)C2312/8/1998No209 Lbs6 ft4NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLink
Juuso ValimakiGulls (ANA)D2410/6/1998No212 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLink
Marian StudenicGulls (ANA)LW/RW2310/28/1998No181 Lbs6 ft1NoNoNo1Pro & Farm900,000$890,476$900,000$890,476$0$0$NoLink
Michael CallahanGulls (ANA)D239/23/1999Yes196 Lbs6 ft2NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Link
Mikey AndersonGulls (ANA)D235/25/1999No195 Lbs6 ft0NoNoNo1Pro & Farm1,750,000$1,731,481$1,750,000$1,731,481$0$0$NoLink
Nicholas MerkleyGulls (ANA)RW255/23/1997No192 Lbs5 ft11NoNoNo1Pro & Farm1,250,000$1,236,772$1,250,000$1,236,772$0$0$NoLink
Nick WolffGulls (ANA)D267/21/1996Yes220 Lbs6 ft5NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLink
Nikita OkhotiukGulls (ANA)D2112/4/2000Yes195 Lbs6 ft1NoNoNo2Pro & Farm789,167$780,816$789,167$780,816$0$0$No789,167$Link
Riley Sheahan (1 Way Contract)Gulls (ANA)C3012/7/1991No216 Lbs6 ft2NoNoNo1Pro & Farm1,650,000$1,632,540$1,650,000$1,632,540$525,000$519,444$NoLink
Riley TufteGulls (ANA)LW244/10/1998No220 Lbs6 ft6NoNoNo2Pro & Farm900,000$890,476$900,000$890,476$0$0$No900,000$Link
Serron NoelGulls (ANA)RW228/8/2000Yes205 Lbs6 ft5NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Link
Urho VaakanainenGulls (ANA)D231/1/1999No200 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLink
Yevgeni OksentyukGulls (ANA)C/LW/RW212/27/2001Yes163 Lbs5 ft8NoNoNo3Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$750,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3023.37195 Lbs6 ft11.60967,139$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Anders BjorkRiley SheahanMarian Studenic40122
2Brandon BiroConnor McMichaelAlexey Toropchenko30122
3Riley TufteBrendan GaunceNicholas Merkley20122
4Adam BeckmanJean-Luc FoudyYevgeni Oksentyuk10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikey AndersonJordan Spence40122
2Urho VaakanainenNikita Okhotiuk30122
3Jack AhcanJoey Keane20122
4Mikey AndersonJordan Spence10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Anders BjorkRiley SheahanMarian Studenic60122
2Brandon BiroConnor McMichaelAlexey Toropchenko40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikey AndersonJordan Spence60122
2Urho VaakanainenNikita Okhotiuk40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Riley SheahanConnor McMichael60122
2Brendan GaunceAnders Bjork40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikey AndersonJordan Spence60122
2Urho VaakanainenNikita Okhotiuk40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Riley Sheahan60122Mikey AndersonJordan Spence60122
2Connor McMichael40122Urho VaakanainenNikita Okhotiuk40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Riley SheahanConnor McMichael60122
2Brendan GaunceAnders Bjork40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikey AndersonJordan Spence60122
2Urho VaakanainenNikita Okhotiuk40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Anders BjorkRiley SheahanMarian StudenicMikey AndersonJordan Spence
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Anders BjorkRiley SheahanMarian StudenicMikey AndersonJordan Spence
Extra Forwards
Normal PowerPlayPenalty Kill
Nicholas Merkley, Riley Tufte, Adam BeckmanNicholas Merkley, Riley TufteAdam Beckman
Extra Defensemen
Normal PowerPlayPenalty Kill
Jack Ahcan, Joey Keane, Urho VaakanainenJack AhcanJoey Keane, Urho Vaakanainen
Penalty Shots
Riley Sheahan, Connor McMichael, Brendan Gaunce, Anders Bjork, Marian Studenic
Goalie
#1 : Joey Daccord, #2 : Josef Korenar
Custom OT Lines Forwards
Riley Sheahan, Connor McMichael, Brendan Gaunce, Anders Bjork, Marian Studenic, Brandon Biro, Brandon Biro, Alexey Toropchenko, Nicholas Merkley, Riley Tufte, Adam Beckman
Custom OT Lines Defensemen
Mikey Anderson, Jordan Spence, Urho Vaakanainen, Nikita Okhotiuk, Jack Ahcan


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
6 - 2022-09-149Firebirds-Gulls-
9 - 2022-09-1732Gulls-Islanders-
11 - 2022-09-1939Gulls-Wolf Pack-
12 - 2022-09-2048Gulls-Comets-
14 - 2022-09-2259Gulls-Bruins-
17 - 2022-09-2588Gulls-Griffins-
20 - 2022-09-28110Crunch-Gulls-
22 - 2022-09-30121Gulls-Silver Knights-
24 - 2022-10-02142Marlies-Gulls-
26 - 2022-10-04158Gulls-Barracuda-
28 - 2022-10-06171Gulls-Canucks-
30 - 2022-10-08188Gulls-Barracuda-
31 - 2022-10-09192Checkers-Gulls-
34 - 2022-10-12210Wild-Gulls-
37 - 2022-10-15234IceHogs-Gulls-
40 - 2022-10-18255Griffins-Gulls-
42 - 2022-10-20266Gulls-Moose-
44 - 2022-10-22282Gulls-Thunderbirds-
46 - 2022-10-24296Gulls-Thunderbirds-
48 - 2022-10-26314Wolf Pack-Gulls-
50 - 2022-10-28323Senators-Gulls-
52 - 2022-10-30343Firebirds-Gulls-
54 - 2022-11-01356Gulls-Admirals-
56 - 2022-11-03371Gulls-Stars-
58 - 2022-11-05379Gulls-Wild-
59 - 2022-11-06392Gulls-Moose-
61 - 2022-11-08410Wolves-Gulls-
64 - 2022-11-11433Barracuda-Gulls-
67 - 2022-11-14451Gulls-Senators-
68 - 2022-11-15454Gulls-Marlies-
70 - 2022-11-17469Gulls-Rocket-
72 - 2022-11-19486Gulls-Condors-
75 - 2022-11-22516Gulls-Reign-
76 - 2022-11-23524Wild-Gulls-
78 - 2022-11-25544Heat-Gulls-
83 - 2022-11-30562Silver Knights-Gulls-
85 - 2022-12-02574Admirals-Gulls-
88 - 2022-12-05597Phantoms-Gulls-
90 - 2022-12-07611Stars-Gulls-
92 - 2022-12-09627Barracuda-Gulls-
94 - 2022-12-11644Bruins-Gulls-
97 - 2022-12-14660Condors-Gulls-
99 - 2022-12-16675Comets-Gulls-
102 - 2022-12-19700Gulls-Penguins-
103 - 2022-12-20705Gulls-Phantoms-
105 - 2022-12-22717Gulls-Monsters-
107 - 2022-12-24732Gulls-Americans-
110 - 2022-12-27763Gulls-Roadrunners-
112 - 2022-12-29776Gulls-Eagles-
114 - 2022-12-31796Roadrunners-Gulls-
123 - 2023-01-09811Gulls-Stars-
124 - 2023-01-10818Gulls-IceHogs-
127 - 2023-01-13831Penguins-Gulls-
129 - 2023-01-15849Gulls-Silver Knights-
132 - 2023-01-18868Americans-Gulls-
134 - 2023-01-20882Reign-Gulls-
137 - 2023-01-23902Gulls-Checkers-
138 - 2023-01-24908Gulls-Crunch-
140 - 2023-01-26920Gulls-Bears-
142 - 2023-01-28939Gulls-Wolves-
144 - 2023-01-30957IceHogs-Gulls-
146 - 2023-02-01973Bears-Gulls-
148 - 2023-02-03987Rocket-Gulls-
152 - 2023-02-071021Gulls-Firebirds-
153 - 2023-02-081024Gulls-Canucks-
155 - 2023-02-101037Gulls-Heat-
157 - 2023-02-121060Admirals-Gulls-
160 - 2023-02-151079Islanders-Gulls-
162 - 2023-02-171094Monsters-Gulls-
164 - 2023-02-191114Canucks-Gulls-
166 - 2023-02-211131Heat-Gulls-
168 - 2023-02-231146Moose-Gulls-
170 - 2023-02-251164Thunderbirds-Gulls-
172 - 2023-02-271174Eagles-Gulls-
175 - 2023-03-021198Gulls-Firebirds-
177 - 2023-03-041216Gulls-Condors-
178 - 2023-03-051225Gulls-Heat-
181 - 2023-03-081242Condors-Gulls-
184 - 2023-03-111260Gulls-Roadrunners-
185 - 2023-03-121274Eagles-Gulls-
187 - 2023-03-141294Canucks-Gulls-
189 - 2023-03-161310Reign-Gulls-



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

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

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
27,264$ 2,576,416$ 2,576,416$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
13,632$ 27,264$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 187 13,632$ 2,549,184$




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
1182323009812158167-94117150521194913411515046016476-12941582674254122565581219894967247285623148021741566993333.33%762961.84%1682133051.28%746149250.00%47790752.59%152569316048321833932
1182323009812158167-94117150521194913411515046016476-12941582674254122565581219894967247285623148021741566993333.33%762961.84%1682133051.28%746149250.00%47790752.59%152569316048321833932
Total Regular Season16464600181624316334-188234300104221881826823030081202128152-2418831653485082450130116243978992144814561124628160434831321986633.33%1525861.84%21364266051.28%1492298450.00%954181452.59%305013863209166436671865
Playoff
11624000002120130300000913-432100000127542138591051150233599975019377414319421.05%220.00%08215353.59%6913252.27%5110349.51%128721185511256
11624000002120130300000913-432100000127542138591051150233599975019377414319421.05%220.00%08215353.59%6913252.27%5110349.51%128721185511256
Total Playoff12480000042402606000001826-864200000241410842761182010221004661181981500386154828638821.05%440.00%016430653.59%13826452.27%10220649.51%257145236110225112