Out of Date Version of the STHS! Please update your version!
Login

San Diego Gulls
GP: 6 | W: 2 | L: 4
GF: 16 | GA: 23 | PP%: 0.00% | PK%: 80.00%
GM : Mark | Morale : 24 | Team Overall : 56
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
San Diego Gulls
2-4-0, 4pts
5
FINAL
4 Hartford Wolf Pack
16-7-0, 32pts
Team Stats
L1StreakW1
1-2-0Home Record10-3-0
1-2-0Away Record6-4-0
2-4-0Last 10 Games7-3-0
2.67Goals Per Game3.43
3.83Goals Against Per Game2.52
0.00%Power Play Percentage31.25%
80.00%Penalty Kill Percentage85.71%
Hartford Wolf Pack
16-7-0, 32pts
5
FINAL
3 San Diego Gulls
2-4-0, 4pts
Team Stats
W1StreakL1
10-3-0Home Record1-2-0
6-4-0Away Record1-2-0
7-3-0Last 10 Games2-4-0
3.43Goals Per Game2.67
2.52Goals Against Per Game3.83
31.25%Power Play Percentage0.00%
85.71%Penalty Kill Percentage80.00%
Team Leaders
Goals
Kyle Olson
3
Assists
Helge Grans
5
Points
Kyle Olson
5
Plus/Minus
Joakim Andersson
2
Wins
Dylan Wells
2
Save Percentage
Eetu Makiniemi
0.973

Team Stats
Goals For
16
2.67 GFG
Shots For
209
34.83 Avg
Power Play Percentage
0.0%
0 GF
Offensive Zone Start
31.2%
Goals Against
23
3.83 GAA
Shots Against
253
42.17 Avg
Penalty Kill Percentage
80.0%%
1 GA
Defensive Zone Start
41.2%
Team Info

General ManagerMark
DivisionEast Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets1,650


Roster Info

Pro Team28
Farm Team20
Contract Limit48 / 65
Prospects61


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
1Joakim Andersson0X100.00633575756270694851535348536048074550344750,000$
2Adam Beckman (R)0X100.00503577826067705450455057555358073550225894,167$
3Carsen Twarynski (R)0X100.00643575795470704854535152476048073550252750,000$
4Simon Holmstrom (R)0X100.00643575746465675252465452506048073540223863,333$
5Kyle Olson (R)0X100.00543575765366665352524654546048073540241750,000$
6Roby Jarventie (R)0X100.00583575705868694846555152486048068540203925,000$
7Ryan White0XXX100.005035757161696551484752494760480765303514,000,000$
8Joakim Nordstrom0XXX100.00603575706565705254484651536048073530311750,000$
9Jakub Lauko (R)0X100.00643575715365684648465547496048073520231764,167$
10Johan Sodergran (R)0XXX100.00563575726270705148504545556048073520231750,000$
11Brent Raedeke0XX100.00483575696947445341494657505857073520332750,000$
12Nathan Legare (R)0X100.00555555555555555555555555555555073520223789,167$
13Vitaly Abramov (R)0XX100.005835757165657055484646465460480735202522,500,000$
14Jonathan Dugan (R)0X100.00505050505050505050505050505050065480251750,000$
15Mathias Emilio Pettersen (R)0X100.00505050505050505050505050505050073480231903,333$
16John Gilmour0X100.00543575715858635255534557407358072560301750,000$
17Helge Grans (R)0X100.00523575716464665553494955407358072560215870,000$
18Roman Polak0X100.005435756960556750535047574073580735603713,500,000$
19Brennan Menell (R)0X100.00643575695759704549495254407358073560261750,000$
20Luke Green (R)0X100.005035757154606947534753584073580735602522,500,000$
21Filip Berglund (R)0X100.00603575685465614545554553407358073550263817,500$
22Kenton Helgsen0XX100.005555555555555555555565555555550765402914,500,000$
23Michael Vukojevic (R)0X100.00533575746350644853494651407358073540223850,833$
24Klas Dahlbeck0X100.00503575695656684549454854407358073540314750,000$
Scratches
TEAM AVERAGE100.0056387169586164505150505248635307354
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 SPAgeContractSalary
1Dylan Wells (R)0100.0075757586857371747069457072063730252750,000$
2Eetu Makiniemi (R)0100.0075757582877168717267476969076720243867,500$
Scratches
1Mikhail Berdin (R)0100.0075757582847069747165486669022710251750,000$
2Arvid Holm (R)0100.0075757587857066746770466768022710243845,833$
TEAM AVERAGE100.007575758485716973706847687004672
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
1Kyle OlsonSan Diego Gulls (ANA)C6325-50099203515.00%511118.6500000000000037.86%10375000.8900000100
2Joakim AnderssonSan Diego Gulls (ANA)C63252007621101214.29%512320.5100001000040039.05%16946000.8100000100
3Helge GransSan Diego Gulls (ANA)D6055-300596220.00%914524.280000100005000.00%016000.6900000000
4Ryan WhiteSan Diego Gulls (ANA)C/LW/RW6134-1557115396.67%38313.8900000000000041.86%4351000.9600100000
5Joakim NordstromSan Diego Gulls (ANA)C/LW/RW6224-10087175711.76%58313.9600000000001140.00%511000.9600000010
6Carsen TwarynskiSan Diego Gulls (ANA)LW62242001281991610.53%411919.8800001000010022.22%9146000.6700000010
7Kenton HelgsenSan Diego Gulls (ANA)LW/D6213-15587113918.18%28414.030000100000100.00%222000.7100100001
8Adam BeckmanSan Diego Gulls (ANA)LW6033-54059162130.00%711318.9300000000010020.00%553000.5300000000
9Roby JarventieSan Diego Gulls (ANA)LW603300081421370.00%714424.1500000000000016.67%18510000.4100000001
10Simon HolmstromSan Diego Gulls (ANA)RW6022-520251113350.00%211519.2300000000030033.33%675000.3500000000
11Brent RaedekeSan Diego Gulls (ANA)C/LW6202-2001662833.33%1437.2800000000000033.33%2114000.9200000000
12John GilmourSan Diego Gulls (ANA)D6011-3006613220.00%1013823.120000000000000.00%0212000.1400000000
13Filip BerglundSan Diego Gulls (ANA)D6101-5209560116.67%1313823.040000000000000.00%007000.1400000000
14Nathan LegareSan Diego Gulls (ANA)RW6011-2006310220.00%0437.3100000000000075.00%420000.4600000000
15Brennan MenellSan Diego Gulls (ANA)D6011200222220.00%78514.210000100003000.00%003000.2300000000
16Jonathan DuganSan Diego Gulls (ANA)LW6000000100000.00%020.350000000001000.00%000000.00%00000000
17Jakub LaukoSan Diego Gulls (ANA)LW6000000110000.00%071.25000000000200100.00%100000.00%00000000
18Mathias Emilio PettersenSan Diego Gulls (ANA)C6000000100000.00%010.290000000001000.00%000000.00%00000000
19Johan SodergranSan Diego Gulls (ANA)C/LW/RW6000000000000.00%050.990000000000000.00%000000.00%00000000
20Michael VukojevicSan Diego Gulls (ANA)D6000000000000.00%020.440000000000000.00%000000.00%00000000
21Roman PolakSan Diego Gulls (ANA)D6000200058000.00%38614.430000000005000.00%005000.00%00000000
22Klas DahlbeckSan Diego Gulls (ANA)D6000000030000.00%2366.060000000000000.00%002000.00%00000000
23Luke GreenSan Diego Gulls (ANA)D6000-500285330.00%910818.090000000003000.00%008000.00%00000000
24Vitaly AbramovSan Diego Gulls (ANA)LW/RW6000000100010.00%0203.3700000000000050.00%200000.00%00000000
Team Total or Average144162844-301810124120209541047.66%94184612.82000090000322137.37%3885686000.4800200222
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
1Dylan WellsSan Diego Gulls (ANA)62400.8984.422992022216111000.00%060000
2Eetu MakiniemiSan Diego Gulls (ANA)20000.9730.86700013710000.00%006000
Team Total or Average82400.9093.73370202325312100066000


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 Waiver Possible 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 BeckmanSan Diego Gulls (ANA)LW225/10/2001Yes182 Lbs6 ft1NoNoNoNo5Pro & Farm894,167$0$0$No894,167$894,167$894,167$894,167$Link
Arvid HolmSan Diego Gulls (ANA)G2411/3/1998Yes213 Lbs6 ft4NoNoNoNo3Pro & Farm845,833$0$0$No845,833$845,833$Link
Brennan MenellSan Diego Gulls (ANA)D265/24/1997Yes177 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$0$0$NoLink
Brent RaedekeSan Diego Gulls (ANA)C/LW335/29/1990No195 Lbs6 ft0NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Link
Carsen TwarynskiSan Diego Gulls (ANA)LW2511/24/1997Yes198 Lbs6 ft2NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Link
Dylan WellsSan Diego Gulls (ANA)G251/3/1998Yes190 Lbs6 ft2NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Link
Eetu MakiniemiSan Diego Gulls (ANA)G244/19/1999Yes184 Lbs6 ft2NoNoNoNo3Pro & Farm867,500$0$0$No867,500$867,500$Link
Filip BerglundSan Diego Gulls (ANA)D265/10/1997Yes206 Lbs6 ft3NoNoNoNo3Pro & Farm817,500$0$0$No817,500$817,500$Link
Helge GransSan Diego Gulls (ANA)D215/10/2002Yes205 Lbs6 ft4NoNoNoNo5Pro & Farm870,000$0$0$No870,000$870,000$870,000$870,000$Link
Jakub LaukoSan Diego Gulls (ANA)LW233/28/2000Yes184 Lbs6 ft0NoNoNoNo1Pro & Farm764,167$0$0$NoLink
Joakim AnderssonSan Diego Gulls (ANA)C342/5/1989No211 Lbs6 ft2NoNoNoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$Link
Joakim NordstromSan Diego Gulls (ANA)C/LW/RW312/25/1992No194 Lbs6 ft1NoNoNoNo1Pro & Farm750,000$0$0$NoLink
Johan SodergranSan Diego Gulls (ANA)C/LW/RW2311/20/1999Yes205 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$0$0$NoLink
John GilmourSan Diego Gulls (ANA)D305/17/1993No188 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$0$0$NoLink
Jonathan DuganSan Diego Gulls (ANA)LW253/24/1998 8:39:00 AMYes185 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$0$0$No
Kenton Helgsen (1 Way Contract)San Diego Gulls (ANA)LW/D293/19/1994 4:07:39 AMNo194 Lbs6 ft3NoNoNoNo1Pro & Farm4,500,000$4,500,000$0$No
Klas DahlbeckSan Diego Gulls (ANA)D317/6/1991No207 Lbs6 ft3NoNoNoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$Link
Kyle OlsonSan Diego Gulls (ANA)C243/22/1999Yes172 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$0$0$NoLink
Luke GreenSan Diego Gulls (ANA)D251/12/1998Yes190 Lbs6 ft0NoNoNoNo2Pro & Farm2,500,000$0$0$No2,500,000$Link
Mathias Emilio PettersenSan Diego Gulls (ANA)C234/3/2000 8:41:00 AMYes175 Lbs5 ft10NoNoNoNo1Pro & Farm903,333$0$0$No
Michael VukojevicSan Diego Gulls (ANA)D226/8/2001Yes215 Lbs6 ft3NoNoNoNo3Pro & Farm850,833$0$0$No850,833$850,833$Link
Mikhail BerdinSan Diego Gulls (ANA)G253/1/1998Yes163 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$0$0$NoLink
Nathan LegareSan Diego Gulls (ANA)RW221/11/2001 2:40:53 AMYes205 Lbs6 ft0NoNoNoNo3Pro & Farm789,167$0$0$No789,167$789,167$
Roby JarventieSan Diego Gulls (ANA)LW208/8/2002Yes184 Lbs6 ft2NoNoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Link
Roman Polak (1 Way Contract)San Diego Gulls (ANA)D374/28/1986No240 Lbs6 ft2NoNoNoNo1Pro & Farm3,500,000$3,500,000$0$NoLink
Ryan White (1 Way Contract)San Diego Gulls (ANA)C/LW/RW353/16/1988No200 Lbs6 ft0NoNoNoNo1Pro & Farm4,000,000$4,000,000$0$NoLink
Simon HolmstromSan Diego Gulls (ANA)RW225/24/2001Yes202 Lbs6 ft2NoNoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$Link / NHL Link
Vitaly AbramovSan Diego Gulls (ANA)LW/RW255/8/1998Yes180 Lbs5 ft9NoNoNoNo2Pro & Farm2,500,000$0$0$No2,500,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2826.14194 Lbs6 ft12.181,263,958$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Carsen TwarynskiJoakim AnderssonRoby Jarventie40122
2Adam BeckmanKyle OlsonSimon Holmstrom30122
3Kenton HelgsenRyan WhiteJoakim Nordstrom20122
4Roby JarventieBrent RaedekeNathan Legare10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1John GilmourHelge Grans40122
2Luke GreenFilip Berglund30122
3Brennan MenellRoman Polak20122
4Filip BerglundKlas Dahlbeck10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Carsen TwarynskiJoakim AnderssonKenton Helgsen60122
2Adam BeckmanKyle OlsonSimon Holmstrom40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Brennan MenellHelge Grans60122
2Luke GreenRoman Polak40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Simon HolmstromJoakim Andersson60122
2Carsen TwarynskiAdam Beckman40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Roman PolakHelge Grans60122
2Luke GreenBrennan Menell40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Carsen Twarynski60122Brennan MenellHelge Grans60122
2Joakim Andersson40122Luke GreenRoman Polak40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Kyle OlsonJoakim Andersson60122
2Carsen TwarynskiAdam Beckman40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Roman PolakHelge Grans60122
2Luke GreenBrennan Menell40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Carsen TwarynskiJoakim AnderssonAdam BeckmanRoman PolakHelge Grans
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Carsen TwarynskiJoakim AnderssonAdam BeckmanRoman PolakHelge Grans
Extra Forwards
Normal PowerPlayPenalty Kill
Vitaly Abramov, Johan Sodergran, Jakub LaukoVitaly Abramov, Johan SodergranJakub Lauko
Extra Defensemen
Normal PowerPlayPenalty Kill
Michael Vukojevic, Brennan Menell, Roman PolakMichael VukojevicBrennan Menell, Roman Polak
Penalty Shots
Roby Jarventie, Joakim Andersson, Carsen Twarynski, Adam Beckman, Kenton Helgsen
Goalie
#1 : Dylan Wells, #2 : Eetu Makiniemi
Custom OT Lines Forwards
Jakub Lauko, Joakim Andersson, Carsen Twarynski, Adam Beckman, Kenton Helgsen, Kyle Olson, Kyle Olson, Roby Jarventie, Simon Holmstrom, Ryan White, Joakim Nordstrom
Custom OT Lines Defensemen
Roman Polak, Helge Grans, Luke Green, Filip Berglund, Brennan Menell


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
1Hartford Wolf Pack624000001623-731200000812-431200000811-340.3331628440001042209537860182539420124100.00%5180.00%04512137.19%6616041.25%3410731.78%114631475410852
Total624000001623-731200000812-431200000811-340.3331628440001042209537860182539420124100.00%5180.00%04512137.19%6616041.25%3410731.78%114631475410852
_Since Last GM Reset624000001623-731200000812-431200000811-340.3331628440001042209537860182539420124100.00%5180.00%04512137.19%6616041.25%3410731.78%114631475410852
_Vs Conference624000001623-731200000812-431200000811-340.3331628440001042209537860182539420124100.00%5180.00%04512137.19%6616041.25%3410731.78%114631475410852

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
64L1162844209253942012400
All Games
GPWLOTWOTL SOWSOLGFGA
62400001623
Home Games
GPWLOTWOTL SOWSOLGFGA
3120000812
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3120000811
Last 10 Games
WLOTWOTL SOWSOL
240000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
100.00%5180.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
5378601801042
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
4512137.19%6616041.25%3410731.78%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
114631475410852


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 - 2023-03-041San Diego Gulls2Hartford Wolf Pack3ALBoxScore
2 - 2023-03-059San Diego Gulls1Hartford Wolf Pack4ALBoxScore
3 - 2023-03-0617Hartford Wolf Pack3San Diego Gulls4BWXBoxScore
4 - 2023-03-0725Hartford Wolf Pack4San Diego Gulls1BLBoxScore
5 - 2023-03-0833San Diego Gulls5Hartford Wolf Pack4AWXBoxScore
6 - 2023-03-0941Hartford Wolf Pack5San Diego Gulls3BLBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price10075
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
38 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,339,083$ 2,334,083$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




San Diego Gulls Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

San Diego Gulls Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

San Diego Gulls Career Team Stats

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

San Diego Gulls Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

San Diego Gulls Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA