Please rotate your device to landscape mode for a better experience.
Login

Orcas
GP: 2 | W: 2 | L: 0 | OTL: 0 | P: 4
GF: 8 | GA: 5 | PP%: 0.00% | PK%: 100.00%
GM : Jason Karutz | Morale : 50 | Team Overall : 79
Next Games #28 vs Red Tails

Game Center
Orcas
2-0-0, 4pts
4
3 North Stars
0-1-1, 1pts
Team Stats
W2StreakL1
0-0-0Home Record0-1-1
2-0-0Away Record0-0-0
2-0-0Last 10 Games0-1-1
4.00Goals Per Game2.50
2.50Goals Against Per Game4.50
0.00%Power Play Percentage0.00%
100.00%Penalty Kill Percentage100.00%
Orcas
2-0-0, 4pts
4
2 Maulers
0-1-1, 1pts
Team Stats
W2StreakL1
0-0-0Home Record0-1-1
2-0-0Away Record0-0-0
2-0-0Last 10 Games0-1-1
4.00Goals Per Game3.00
2.50Goals Against Per Game4.50
0.00%Power Play Percentage0.00%
100.00%Penalty Kill Percentage100.00%
Red Tails
2-0-0, 4pts
2026-04-02
Orcas
2-0-0, 4pts
Team Stats
W2StreakW2
2-0-0Home Record0-0-0
0-0-0Away Record2-0-0
2-0-0Last 10 Games2-0-0
5.00Goals Per Game4.00
2.00Goals Against Per Game4.00
30.00%Power Play Percentage0.00%
100.00%Penalty Kill Percentage100.00%
Trident
2-0-0, 4pts
2026-04-03
Orcas
2-0-0, 4pts
Team Stats
W2StreakW2
2-0-0Home Record0-0-0
0-0-0Away Record2-0-0
2-0-0Last 10 Games2-0-0
4.00Goals Per Game4.00
1.00Goals Against Per Game4.00
0.00%Power Play Percentage0.00%
100.00%Penalty Kill Percentage100.00%
Team Leaders
Goals
Keegan Ramkema
2
Assists
Keegan Ramkema
3
Points
Keegan Ramkema
5
Plus/Minus
Keegan Ramkema
4
Wins
Mangjeol Su-Cheol
2
Save Percentage
Mangjeol Su-Cheol
0.929

Team Stats
Goals For
8
4.00 GFG
Shots For
54
27.00 Avg
Power Play Percentage
0.0%
0 GF
Offensive Zone Start
39.5%
Goals Against
5
2.50 GAA
Shots Against
70
35.00 Avg
Penalty Kill Percentage
100.0%%
0 GA
Defensive Zone Start
36.0%
Team Info

General ManagerJason Karutz
CoachTadeas Spryner
DivisionPacific
ConferenceWestern Conference
CaptainKeegan Ramkema
Assistant #1Reeti Tiitinen
Assistant #2Carey Griffiths


Arena Info

NameHooroo Arena
Capacity18,000
Attendance
Season Tickets7,200


Roster Info

Pro Team20
Farm Team22
Contract Limit42 / 55
Prospects10


Salary Cap

Estimated Season Salary Cap0$
Available Salary Cap59,000,000$
Special Salary Cap Value0$
Players In Salary Cap20


Finance

Year to Date Revenue0$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account109,182,161$
Projected Bank Account109,182,161$


Team History

This Season2-0-0 (4PTS)
History203-148-52 (0.504%)
Playoff Appearances3
Playoff Record (W-L)26 - 24 (0.520%)
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
1Keegan Ramkema (C)0X100.0087707199809782975287988365395120508703236,166,263$
2Srebrenko Cvitanovic0X100.0094707480709374998686965957604317508303213,694,846$
3Justice Wang0X100.0092369284859760996487598554354257508202523,450,606$
4David Manno18X100.0085277085757360797395928558324165508102233,295,000$
5Jamal Gratton0X100.0096337181907270968487804590424942507902723,965,000$
6Mikko-Matti Forsblad0X100.008951679585565191718982816438932507903512,700,618$
7Leonard Bjorklund0X100.0078686894758551676395699372835024507803112,000,892$
8Jake Corbin0X100.004951619474785583658580688971522507503511,972,841$
9Antonio Macphedron0X100.0046308473556859938881759654874872507502242,250,000$
10Carsten Kerly (R)0X100.0086647386706760979845997466906960507502441,999,600$
11Noel Ottosson (R)0X100.0031367492597758825995946862376361507502452,566,068$
12Shayne Vallorani0X100.0056459988609064726580409752877433507402921,543,686$
13Reeti Tiitinen (A)0X100.0083379493667880952576779369666424508003134,986,000$
14Sixten Angstrom0X100.0099516198836568862560629752566430507902911,829,000$
15Carey Griffiths (A)0X100.0035947784878078962584389880398556507902542,240,924$
16Qi Chongkun0X100.0060468295879959942559659051555375507802111,000,000$
17Max Cooper (R)0X100.0079706277858578657071609164707275507801921,000,000$
18Wilhelm Norden0X100.0065497086909782592539759468934311507703312,342,151$
Scratches
TEAM AVERAGE100.00735275887681668659787583656059405079
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
1Mangjeol Su-Cheol0100.00736969839980988395537585519508003424,200,571$
2Jessey Tarasuk0100.005083849570619691875286526952507702423,335,600$
Scratches
TEAM AVERAGE100.0062767789857197879153816960315079
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Tadeas Spryner72919959805747CAN4021,000,000$


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
1Keegan RamkemaOrcasRW223540041105520.00%14522.7200002000000150.00%640002.2000000200
2Reeti TiitinenOrcasD2033-100021000%15025.310000200008000%011001.1900000000
3Srebrenko CvitanovicOrcasC21232006362416.67%04321.5900002000170150.00%3814001.3900000010
4Leonard BjorklundOrcasLW2022120335270%02914.990000000000000%012001.3300000000
5Justice WangOrcasRW21120004343325.00%03718.7200003000071020.00%510001.0700000000
6Max CooperOrcasD211210022113100.00%23316.640000000008000%002001.2000000001
7Jamal GrattonOrcasLW2101-1004150220.00%03819.4800012000001050.00%210000.5100000000
8Antonio MacphedronOrcasC2011-100132000%12613.0600000000000055.56%1801000.7700000000
9David MannoOrcasLW21012205440025.00%34221.0100002000070050.00%200000.4800000000
10Carsten KerlyOrcasC21011007223350.00%03517.6500000000070058.33%2400000.5700000000
11Noel OttossonOrcasRW2011100005150%02713.860000000000000%010000.7200000000
12Qi ChongkunOrcasD2011200335310%44623.070000300006000%004000.4300000000
13Shayne ValloraniOrcasRW2000000000000%021.170000000000000%00000000000000
14Sixten AngstromOrcasD2000-240432000%44221.000000200001000%01200000000000
15Wilhelm NordenOrcasD2000320021110%32412.350000000000000%00100000000000
16Mikko-Matti ForsbladOrcasC2000020020200%0168.2300002000000034.78%231200000000000
17Carey GriffithsOrcasD2000140051000%04422.330000300005000%00200000000000
Team Total or Average348152313160433954233414.81%1958617.250001290001632248.31%1181221000.7800000211
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
1Mangjeol Su-CheolOrcas22000.9292.501200057044000020001
Team Total or Average22000.9292.50120005704400020001


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 Country Rookie Weight Height No Trade Available For Trade Acquired ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce UFA Emergency Recall 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Antonio MacphedronOrcasC222006-06-26USANo179 Lbs5 ft6NoNoTrade2025-10-02NoNo42025-09-28FalseFalsePro & Farm2,250,000$2,250,000$2,250,000$No2,250,000$2,250,000$2,250,000$------2,250,000$2,250,000$2,250,000$------NoNoNo------
Carey GriffithsOrcasD252003-11-15CANNo209 Lbs6 ft2NoNoAssign ManuallyNoNo42025-09-28FalseFalsePro & Farm2,240,924$2,240,924$2,240,924$No2,240,924$2,240,924$2,240,924$------2,240,924$2,240,924$2,240,924$------NoNoNo------
Carsten KerlyOrcasC242004-11-05USAYes177 Lbs5 ft7NoNoDraftNoNo42026-05-03FalseFalsePro & Farm1,999,600$1,999,600$1,999,600$No1,999,600$1,999,600$1,999,600$------1,999,600$1,999,600$1,999,600$------NoNoNo------
David MannoOrcasLW222006-02-03CANNo179 Lbs5 ft5NoNoTrade2026-02-20NoNo32025-09-28FalseFalsePro & Farm3,295,000$3,295,000$3,295,000$No3,295,000$3,295,000$-------3,295,000$3,295,000$-------NoNo-------
Jake CorbinOrcasRW351993-08-23CANNo205 Lbs6 ft3NoNoAssign ManuallyNoNo12026-05-02FalseFalsePro & Farm1,972,841$1,972,841$1,972,841$No---------------------------
Jamal GrattonOrcasLW272001-07-25CANNo188 Lbs5 ft8NoNoAssign ManuallyNoNo22025-09-28FalseFalsePro & Farm3,965,000$3,965,000$3,965,000$No3,965,000$--------3,965,000$--------No--------
Jessey TarasukOrcasG242004-11-02CANNo207 Lbs6 ft8NoNoAssign ManuallyNoNo22025-09-28FalseFalsePro & Farm3,335,600$3,335,600$3,335,600$No3,335,600$--------3,335,600$--------No--------
Justice WangOrcasRW252003-04-23CANNo225 Lbs6 ft5NoNoAssign ManuallyNoNo22025-09-28FalseFalsePro & Farm3,450,606$3,450,606$3,450,606$No3,450,606$--------3,450,606$--------No--------
Keegan RamkemaOrcasRW321996-11-13CANNo195 Lbs6 ft2NoNoN/ANoNo32026-05-03FalseFalsePro & Farm6,166,263$6,166,263$6,166,263$No6,166,263$6,166,263$-------6,166,263$6,166,263$-------NoNo-------
Leonard BjorklundOrcasLW311997-09-23SWENo219 Lbs6 ft5NoNoAssign ManuallyNoNo12025-02-01FalseFalsePro & Farm2,000,892$2,000,892$2,000,892$No---------------------------
Mangjeol Su-CheolOrcasG341994-08-28KORNo217 Lbs6 ft1NoNoAssign ManuallyNoNo22026-05-02FalseFalsePro & Farm4,200,571$4,200,571$4,200,571$No4,200,571$--------4,200,571$--------No--------
Max CooperOrcasD192009-07-18GERYes226 Lbs6 ft8NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm1,000,000$1,000,000$1,000,000$No1,000,000$--------1,000,000$--------No--------
Mikko-Matti ForsbladOrcasC351993-07-21FINNo188 Lbs5 ft7NoNoAssign ManuallyNoNo12026-05-03FalseFalsePro & Farm2,700,618$2,700,618$2,700,618$No---------------------------
Noel OttossonOrcasRW242004-04-05SWEYes180 Lbs6 ft1NoNoFree AgentNoNo52026-05-03FalseFalsePro & Farm2,566,068$2,566,068$2,566,068$No2,566,068$2,566,068$2,566,068$2,566,068$-----2,566,068$2,566,068$2,566,068$2,566,068$-----NoNoNoNo-----
Qi ChongkunOrcasD212007-05-23CHNNo183 Lbs5 ft11NoNoDraftNoNo12025-02-25FalseFalsePro & Farm1,000,000$1,000,000$1,000,000$No---------------------------
Reeti TiitinenOrcasD311997-12-25FINNo198 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-28FalseFalsePro & Farm4,986,000$4,986,000$4,986,000$No4,986,000$4,986,000$-------4,986,000$4,986,000$-------NoNo-------
Shayne ValloraniOrcasRW291999-05-10CANNo165 Lbs5 ft8NoNoFree AgentNoNo22024-07-11FalseFalsePro & Farm1,543,686$1,543,686$1,543,686$No1,543,686$--------1,543,686$--------No--------
Sixten AngstromOrcasD291999-06-16SWENo169 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm1,829,000$1,829,000$1,829,000$No---------------------------
Srebrenko CvitanovicOrcasC321996-10-18CRONo184 Lbs5 ft5NoNoN/ANoNo1FalseFalsePro & Farm3,694,846$3,694,846$3,694,846$No---------------------------
Wilhelm NordenOrcasD331995-10-03SWENo169 Lbs5 ft10NoNoAssign ManuallyNoNo12026-05-03FalseFalsePro & Farm2,342,151$2,342,151$2,342,151$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2027.70193 Lbs6 ft02.252,826,983$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
56,539,666$40,999,318$23,503,855$9,056,592$2,566,068$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1David MannoSrebrenko CvitanovicKeegan Ramkema35023
2Jamal GrattonAntonio MacphedronJustice Wang25122
3Leonard BjorklundCarsten KerlyNoel Ottosson22122
4Jamal GrattonMikko-Matti ForsbladKeegan Ramkema18032
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Reeti TiitinenSixten Angstrom38041
2Carey GriffithsQi Chongkun35041
3Max CooperWilhelm Norden22050
4Qi ChongkunReeti Tiitinen5041
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jamal GrattonSrebrenko CvitanovicKeegan Ramkema50005
2David MannoMikko-Matti ForsbladJustice Wang50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Reeti TiitinenSixten Angstrom50014
2Qi ChongkunCarey Griffiths50014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Srebrenko CvitanovicDavid Manno50140
2Carsten KerlyJustice Wang50140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Qi ChongkunReeti Tiitinen50140
2Carey GriffithsMax Cooper50140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mikko-Matti Forsblad50140Sixten AngstromCarey Griffiths50140
2Srebrenko Cvitanovic50140Reeti TiitinenQi Chongkun50140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Srebrenko CvitanovicKeegan Ramkema50023
2Justice WangJamal Gratton50023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Reeti TiitinenCarey Griffiths52032
2Sixten AngstromMax Cooper48032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jamal GrattonSrebrenko CvitanovicKeegan RamkemaReeti TiitinenCarey Griffiths
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Justice WangSrebrenko CvitanovicKeegan RamkemaReeti TiitinenSixten Angstrom
Extra Forwards
Normal PowerPlayPenalty Kill
Keegan Ramkema, Srebrenko Cvitanovic, Jamal GrattonKeegan Ramkema, Srebrenko CvitanovicMikko-Matti Forsblad
Extra Defensemen
Normal PowerPlayPenalty Kill
Reeti Tiitinen, Sixten Angstrom, Carey GriffithsReeti TiitinenReeti Tiitinen, Carey Griffiths
Penalty Shots
Jamal Gratton, Justice Wang, Jake Corbin, Leonard Bjorklund, Carey Griffiths
Goalie
#1 : Mangjeol Su-Cheol, #2 : Jessey Tarasuk
Custom OT Lines Forwards
Keegan Ramkema, Justice Wang, Jamal Gratton, Srebrenko Cvitanovic, David Manno, Antonio Macphedron, Mikko-Matti Forsblad, Noel Ottosson, Carsten Kerly, Jake Corbin
Custom OT Lines Defensemen
Reeti Tiitinen, Sixten Angstrom, Carey Griffiths, Qi Chongkun, Max Cooper


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
OverallHome Visitor
# 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 RI
1Maulers11000000422000000000001100000042221.0004711000130309101103811420200.00%20100.00%0214546.67%234156.10%132846.43%1911218189
2North Stars10001000431000000000001000100043121.00048120011112467923281223100.00%60100.00%0214546.67%234156.10%132846.43%1892410178R1
Total21001000853000000000002100100085341.0008152300124154151720270191643300.00%80100.00%0214546.67%234156.10%132846.43%372046193618
_Since Last GM Reset21001000853000000000002100100085341.0008152300124154151720270191643300.00%80100.00%0214546.67%234156.10%132846.43%372046193618

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
24W281523547019164300
All Games
GPWLOTWOTL SOWSOLGFGA
210100085
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
210100085
Last 10 Games
WLOTWOTL SOWSOL
200000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
300.00%80100.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
15172021241
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
214546.67%234156.10%132846.43%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
372046193618


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 - 2026-03-312Orcas4North Stars3WXR1Box score
2 - 2026-04-0117Orcas4Maulers2WBox score
3 - 2026-04-0228Red Tails-Orcas-
Trade Deadline --- Trades can’t be done after this day is simulated!
4 - 2026-04-0341Trident-Orcas-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity60005000200040001000
Ticket Price110654030200
Attendance0%0%0%0%0%
Attendance PCT0%0%0%0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
2 0 - 0%0$0$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches SalariesSpecial Salary Cap Value
0$ 56,539,666$ 56,539,666$ 1,000,000$0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 20 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 2 0$ 0$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
0$ 109,182,161$ 109,182,161$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
0$ 59,000,000$ 59,000,000$ -26,000,000$



Depth Chart

Left WingCenterRight Wing
David MannoAGE:22PO:65OV:81
Jamal GrattonAGE:27PO:42OV:79
Darian GoebelAGE:24PO:63OV:78
Leonard BjorklundAGE:31PO:24OV:78
Silvio Schmidt (R)AGE:22PO:69OV:75
Valery Vladimirov (R)AGE:22PO:71OV:71
Srebrenko CvitanovicAGE:32PO:17OV:83
Mikko-Matti ForsbladAGE:35PO:2OV:79
Benjamin JouleAGE:30PO:25OV:78
Antonio MacphedronAGE:22PO:72OV:75
Carsten Kerly (R)AGE:24PO:60OV:75
Ora-Antti SelanneAGE:29PO:34OV:74
Luca SyvapuroAGE:32PO:17OV:74
Ruslan YerakovAGE:33PO:10OV:73
Venyamin Pashnin (R)AGE:24PO:64OV:70
Keegan RamkemaAGE:32PO:20OV:87
Justice WangAGE:25PO:57OV:82
Noel Ottosson (R)AGE:24PO:61OV:75
Keane Mackee (R)AGE:23PO:60OV:75
Dunmore HeckmanAGE:30PO:33OV:75
Jake CorbinAGE:35PO:2OV:75
Shayne ValloraniAGE:29PO:33OV:74
Gennady Roshchin (R)AGE:22PO:73OV:71

Defense #1Defense #2Goalie
Reeti TiitinenAGE:31PO:24OV:80
Carey GriffithsAGE:25PO:56OV:79
Sixten AngstromAGE:29PO:30OV:79
Qi ChongkunAGE:21PO:75OV:78
Max Cooper (R)AGE:19PO:75OV:78
Wilhelm NordenAGE:33PO:11OV:77
Vilem ZavorkaAGE:31PO:22OV:76
Jessie BurgdoerferAGE:33PO:11OV:76
Quinton SchlosserAGE:37PO:1OV:76
Tristan Berger (R)AGE:21PO:78OV:71
Ari-Jukka KariniemiAGE:29PO:33OV:71
Kaj SandellAGE:40PO:1OV:70
Georghiu DragoiAGE:35PO:10OV:69
Chris MatheyAGE:35PO:3OV:69
Norihisa Kakuta (R)AGE:23PO:62OV:68
Mangjeol Su-CheolAGE:34PO:9OV:80
Innis KnoxAGE:37PO:1OV:80
Jessey TarasukAGE:24PO:52OV:77
Valeryy LyasyukAGE:30PO:38OV:74

Prospects

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
ProspectTeam NameDraft YearOverall PickInformationLast Trade DateLink
Aleksi EklundOrcas6122
Ben HeidrichOrcas595
Crister HogdahlOrcas670
Denis BaranovOrcas5119
Edvard HaugenOrcas675
Erik MortensenOrcas644
Jan KriselndenOrcas5116
Kai BoutetOrcas430
Richard KockaOrcas571
Vojtech PavlovecOrcas618

Draft Picks

Year R1R2R3R4R5
7
8
9
10
Conditional Draft Picks



No News Found in News Database. Please create a news.


Orcas Trade History

[6/8/2026 8:15:37 AM] Yefim Repetsky was released.
[6/8/2026 8:15:37 AM] Orcas paid $1,400,000 to release Yefim Repetsky.
[6/8/2026 8:15:28 AM] Baron Knowles was released.
[6/8/2026 8:15:28 AM] Orcas paid $1,130,000 to release Baron Knowles.
[6/8/2026 8:15:20 AM] Adler Malley was released.
[6/8/2026 8:15:20 AM] Orcas paid $1,560,000 to release Adler Malley.
[6/8/2026 8:15:07 AM] Leon Christensen was released.
[6/8/2026 8:15:07 AM] Orcas paid $3,093,982 to release Leon Christensen.



No Injury or Suspension.


Orcas 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
1Keegan Ramkema3932021973999377730492157712.81%216760519.352637631170000391436.49%51.05835
2Srebrenko Cvitanovic37613021434439248745638120010.83%166729619.411547628963928171250.56%10.9435
3Mikko-Matti Forsblad3461111372481315365447295511.62%143522515.103151828213816943.09%10.9515
4Justice Wang31589125214-142451846986210.32%141552617.5413243753404209837.13%10.7706
5Jamal Gratton35085109194-21416992698789.68%108559015.979101935101512648.15%30.6928

Orcas Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Mangjeol Su-Cheol23812188260.9192.8513937344663823438321160.60065
2Jessey Tarasuk1075635110.9133.0762792032137092192600.78041
3Yefim Rogozhkin39151350.9093.312175201201315799310.57114
4Vladislav Stasenko2891070.9033.63160321971000590100.52917
5Ferdinand Godbey52200.9142.932660013151702000

Orcas 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
Regular Season
1802730056662622584401611032351381221640111902431124136-12882624166780079829019275890491489488295697248617601583421.52%1172281.20%2881178349.41%860177648.42%635124351.09%1729103317756911379694
28038260633428424638401614041231421261640221202211142120221012844767605171104100122676909915826492848100157318951593320.75%1132379.65%7826177446.56%845185545.55%586127446.00%1722101517426861388712
380263205818228252-244017130231412211844091903504106134-2880228368596125486828254283485481665290294966217411562817.95%1601988.13%1769171744.79%859186845.99%537116845.98%166795717927071413716
480353104442246244240171602230112116-4401815022121341286922464006461160869213249275785985544288190866418061453725.52%1943184.02%2731168243.46%831185344.85%507114644.24%165696118167061371682
580332908424261245164014160421312812264019130421113312310942614226830170928913267788388688448282991768017711342115.67%1964079.59%4890179049.72%871180448.28%594117350.64%1710101617606991376683
Total Regular Season400159148028251624128112453620080700151010156426043820079780131569639641-24551281208233637533445045365131454287442842752941441647473065897375215320.35%78013582.69%164097874646.84%4266915646.59%2859600447.62%848649858886349169293489
Playoff
21257000003044-14633000001723-6624000001321-8103052820071193415142123130204821707331132515.63%14378.57%011929640.20%10930435.86%5416532.73%268162278104209105
42715120000088853138500000443591477000004450-630881482361122362558392492872634098037622158133618.18%781087.18%123256341.21%29670042.29%19641247.57%566322626246488243
5116500000292906510000015105514000001419-512294877011010813361191189453901268322815426.67%29582.76%313525453.15%14828851.39%8016448.78%22813525210018791
Total Playoff50262400000147158-11251690000076688251015000007190-195214724839512395742915905105284876518526723771120801518.75%1211885.12%4486111343.67%553129242.80%33074144.53%10646191157450886440

Orcas 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
1Keegan Ramkema502926550291037222512.89%28102320.476171000002032.14%01.0700
2Justice Wang50162541-12936511813.56%3398619.73145310142135.17%00.8300
3Srebrenko Cvitanovic501522372241168613710.95%19102420.49066700052146.52%00.7200
4Mikko-Matti Forsblad50161531-724906913012.31%3178615.74123110132239.50%10.7900
5Leonard Bjorklund50111627-1250856110410.58%1376715.34000000002236.67%00.7000

Orcas Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Mangjeol Su-Cheol43211740.9133.0825942113315377091100
2Jessey Tarasuk105300.9242.8350901243141841000