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Sags
GP: 10 | W: 7 | L: 3 | OTL: 0 | P: 14
GF: 53 | GA: 44 | PP%: 33.33% | PK%: 65.22%
GM : Nick Gagnon | Morale : 50 | Team Overall : 56
Next Games #176 vs Spiders

Game Center
Sags
7-3-0, 14pts
4
FINAL
3 Minnesota
1-8-2, 4pts
Team Stats
W2StreakL1
4-1-0Home Record0-3-2
3-2-0Home Record1-5-0
7-3-0Last 10 Games1-7-2
5.30Goals Per Game3.45
4.40Goals Against Per Game5.91
33.33%Power Play Percentage11.76%
65.22%Penalty Kill Percentage74.29%
Monarchs
5-6-0, 10pts
5
FINAL
10 Sags
7-3-0, 14pts
Team Stats
L1StreakW2
1-2-0Home Record4-1-0
4-4-0Home Record3-2-0
5-5-0Last 10 Games7-3-0
3.82Goals Per Game5.30
5.45Goals Against Per Game4.40
10.53%Power Play Percentage33.33%
66.67%Penalty Kill Percentage65.22%
Spiders
7-1-2, 16pts
2025-10-30
Sags
7-3-0, 14pts
Team Stats
W4StreakW2
4-0-1Home Record4-1-0
3-1-1Away Record3-2-0
7-1-2Last 10 Games7-3-0
5.60Goals Per Game5.30
4.50Goals Against Per Game5.30
15.79%Power Play Percentage33.33%
72.22%Penalty Kill Percentage65.22%
Monsters
6-3-2, 14pts
2025-11-01
Sags
7-3-0, 14pts
Team Stats
SOL1StreakW2
2-1-2Home Record4-1-0
4-2-0Away Record3-2-0
5-3-2Last 10 Games7-3-0
5.00Goals Per Game5.30
3.64Goals Against Per Game5.30
48.48%Power Play Percentage33.33%
82.76%Penalty Kill Percentage65.22%
Cougars
2-5-3, 7pts
2025-11-02
Sags
7-3-0, 14pts
Team Stats
OTL2StreakW2
1-3-2Home Record4-1-0
1-2-1Away Record3-2-0
2-5-3Last 10 Games7-3-0
4.80Goals Per Game5.30
6.10Goals Against Per Game5.30
36.11%Power Play Percentage33.33%
84.21%Penalty Kill Percentage65.22%
Team Leaders
Goals
Matthew Phillips
12
Assists
Rory Kerins
13
Points
Rory Kerins
19
Plus/Minus
Philippe Daoust
6
Wins
Aleksei Kolosov
6
Save Percentage
Aleksei Kolosov
0.877

Team Stats
Goals For
53
5.30 GFG
Shots For
250
25.00 Avg
Power Play Percentage
33.3%
7 GF
Offensive Zone Start
31.2%
Goals Against
44
4.40 GAA
Shots Against
287
28.70 Avg
Penalty Kill Percentage
65.2%%
8 GA
Defensive Zone Start
35.2%
Team Info

General ManagerNick Gagnon
DivisionAtlantique
ConferenceEst
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance1,932
Season Tickets300


Roster Info

Pro Team23
Farm Team20
Contract Limit43 / 50
Prospects12


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# 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
1Matthew PhillipsX100.00574077755672696744656167686452050640262660,000$
2Rory Kerins (R)X100.00614173706364626462626260655150050610221846,667$
3Zayde Wisdom (R)X100.00634368646464626057575558605150050580221797,500$
4Ty Tullio (R)X100.00594367656263626042575355595150050570221833,333$
5Michal Teply (R)X100.00554273636560595942565252595150050560232620,000$
6Tucker Robertson (R)X100.00604171636361585741525354585050050560212870,000$
7Philippe Daoust (R)X100.00564166586059575654565253555150050550223600,000$
8Carter Savoie (R)X100.00564170656258565640525156585050050550221925,000$
9Cameron Berg (R)X100.00404040404040404040404040404040050410223620,000$
10Oliver KylingtonX100.0057427674738376684064636768847305068N0273635,000$
11Jack Thompson (R)X100.00574078747476666940656469695550050660221828,333$
12Jack Matier (R)X100.00654170636760575640535264575050050590212801,667$
13Jack Peart (R)X100.00604264626261605840545461585050050580213925,000$
14Anttoni Honka (R)X100.00504068676052535638534863585050050570241700,000$
15Calle Odelius (R)X100.00554167616161605940575453585050050570203815,000$
16Dyllan Gill (R)X100.00594067626159575740545559585050050570203870,000$
17Oscar Plandowski (R)X100.00373737373737373737373737373737050380213620,000$
Scratches
1Ben Meyers (R)XX100.00624175686973676662636261656050050630251912,500$
2James Stefan (R)X100.00554068625961595740535453575050050550213870,000$
3Jett Woo (R)X100.00655656676565646440615568625250050620241700,000$
TEAM AVERAGE100.0056426763616159584456545858525005057
Filter Tips
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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.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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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
1Aleksei Kolosov (R)100.0072676672706864646969655250050620222925,000$
2Chase Clark (R)100.0037373737373737373737373737050350213620,000$
Scratches
1Dryden McKay100.0059555356555252505255535550050500261560,000$
TEAM AVERAGE100.005653525554525150535452484605049
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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.
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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.
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9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
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# 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
1Rory KerinsSags (San)C8613194409143082420.00%018823.61134190002101051.89%1851110002.0100000030
2Matthew PhillipsSags (San)RW81251730011738161931.58%419324.21314490000131058.06%3177021.7600000401
3Michal TeplySags (San)LW83710675117112427.27%116620.7800019000030136.36%1115001.2000001100
4Ty TullioSags (San)RW853827598202625.00%612515.6600011000130033.33%354001.2800001010
5Oliver KylingtonSags (San)D81675121041413667.69%1219524.41101114000114000%088000.7200011010
6Carter SavoieSags (San)LW842639583175723.53%214317.9311218000040250.00%612000.8400100100
7Jack ThompsonSags (San)D8066420414168100%1120225.33022114000013000%0413000.5900000001
8Zayde WisdomSags (San)RW8336175138237513.04%715118.9500017000041033.33%1236000.7900010001
9Tucker RobertsonSags (San)C8336255128108230.00%314017.5800008000002049.50%10144000.8500001010
10Philippe DaoustSags (San)C841562089143328.57%113316.6500002000010147.27%5554100.7500000101
11Jack PeartSags (San)D8055555374510%214317.990000500016000%0012000.7000100000
12Cameron BergSags (San)C8134195131121150.00%412715.9200000000000055.26%3826000.6300001000
13Jack MatierSags (San)D80334207135040%714418.110000500005000%017000.4100000002
14Anttoni HonkaSags (San)D81122005530033.33%311214.090000100000100%006000.3500000001
15Dyllan GillSags (San)D8011-300340110%2729.030000100002000%114000.2800000000
16Calle OdeliusSags (San)D8000440520100%29411.780000000001000%00700000000000
17Oscar PlandowskiSags (San)D8000-400000000%0516.450000000000000%00100000000000
Team Total or Average1364362105457545125134206739320.87%67238717.566713111000005866450.34%44353106120.8800225767
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PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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")
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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
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# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Aleksei KolosovSags (San)86100.8773.584530027219108000080000
2Chase ClarkSags (San)10100.5839.6831005127100008000
Team Total or Average96200.8613.96485003223111510088000


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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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.
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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 By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force 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
Aleksei KolosovSags (San)G222002-01-04BLRYes185 Lbs6 ft1NoNoTrade2025-07-16NoNo22024-06-25FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link
Anttoni HonkaSags (San)D242000-10-05FINYes179 Lbs5 ft10NoNoN/ANoYes1FalseFalsePro & Farm700,000$0$0$No---------------------------Link
Ben MeyersSags (San)C/LW251998-11-15USAYes194 Lbs5 ft11NoNoTrade2024-01-20YesYes1FalseFalsePro & Farm912,500$0$0$No---------------------------Link
Calle OdeliusSags (San)D202004-05-30SWEYes183 Lbs6 ft0NoNoProspectNoNo32025-07-10FalseFalsePro & Farm815,000$0$0$No815,000$815,000$-------815,000$815,000$-------NoNo-------Link
Cameron BergSags (San)C222002-01-29USAYes205 Lbs6 ft0NoNoProspectNoNo32025-07-10FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Link
Carter SavoieSags (San)LW222002-01-23CANYes185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Link
Chase ClarkSags (San)G212003-05-18USAYes200 Lbs6 ft6NoNoProspectNoNo32025-07-10FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Link
Dryden McKaySags (San)G261997-11-25USANo183 Lbs6 ft0NoNoN/AYesYes1FalseFalsePro & Farm560,000$0$0$No---------------------------Link
Dyllan GillSags (San)D202004-06-07CANYes179 Lbs6 ft2NoNoDraftNoNo32025-07-10FalseFalsePro & Farm870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------Link
Jack MatierSags (San)D212003-04-08CANYes196 Lbs6 ft5NoNoProspectNoNo22024-06-25FalseFalsePro & Farm801,667$0$0$No801,667$--------801,667$--------No--------Link
Jack PeartSags (San)D212003-05-15USAYes194 Lbs6 ft0NoNoProspectNoNo32025-07-10FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link
Jack ThompsonSags (San)D222002-03-19CANYes189 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm828,333$0$0$No---------------------------Link
James StefanSags (San)RW212003-08-09USAYes174 Lbs6 ft0NoNoDraftNoNo32025-07-10FalseFalsePro & Farm870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------Link
Jett WooSags (San)D242000-07-27CANYes205 Lbs6 ft0NoNoFree AgentNoYes12024-09-28FalseFalsePro & Farm700,000$0$0$No---------------------------Link
Matthew Phillips (1 Way Contract)Sags (San)RW261998-04-06CANNo161 Lbs5 ft8NoNoFree AgentYesYes22025-08-28FalseFalsePro & Farm660,000$0$0$No660,000$--------660,000$--------No--------Link
Michal TeplySags (San)LW232001-05-27CZEYes187 Lbs6 ft3NoNoFree AgentNoNo22024-09-11FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Link
Oliver Kylington (1 Way Contract)Sags (San)D271997-05-19SWENo183 Lbs6 ft0YesNoFree AgentYesYes32025-09-28FalseFalsePro & Farm635,000$0$0$No635,000$635,000$-------635,000$635,000$-------NoNo-------Link
Oscar PlandowskiSags (San)D212003-05-18CANYes200 Lbs6 ft0NoNoProspectNoNo32025-07-10FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Link
Philippe DaoustSags (San)C222001-11-05CANYes194 Lbs6 ft1NoNoTrade2024-01-20NoNo3FalseFalsePro & Farm600,000$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------Link
Rory KerinsSags (San)C222002-04-12CANYes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm846,667$0$0$No---------------------------Link
Tucker RobertsonSags (San)C212003-06-22CANYes185 Lbs5 ft11NoNoProspectNoNo22024-06-25FalseFalsePro & Farm870,000$0$0$No870,000$--------870,000$--------No--------Link
Ty TullioSags (San)RW222002-04-05CANYes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm833,333$0$0$No---------------------------Link
Zayde WisdomSags (San)RW222002-05-20CANYes194 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm797,500$0$0$No---------------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2322.48188 Lbs6 ft02.00763,261$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michal TeplyRory KerinsMatthew Phillips40122
2Carter SavoieTucker RobertsonZayde Wisdom30122
3Cameron BergPhilippe DaoustTy Tullio20122
4Matthew PhillipsCameron BergRory Kerins10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Oliver KylingtonJack Thompson40122
2Jack MatierJack Peart30122
3Anttoni HonkaCalle Odelius20122
4Dyllan GillOscar Plandowski10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michal TeplyRory KerinsMatthew Phillips60122
2Carter SavoieTucker RobertsonZayde Wisdom40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Oliver KylingtonJack Thompson60122
2Jack MatierJack Peart40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Matthew PhillipsRory Kerins60122
2Zayde WisdomTy Tullio40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Oliver KylingtonJack Thompson60122
2Jack MatierJack Peart40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Matthew Phillips60122Oliver KylingtonJack Thompson60122
2Rory Kerins40122Jack MatierJack Peart40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Matthew PhillipsRory Kerins60122
2Zayde WisdomTy Tullio40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Oliver KylingtonJack Thompson60122
2Jack MatierJack Peart40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Michal TeplyRory KerinsMatthew PhillipsOliver KylingtonJack Thompson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Michal TeplyRory KerinsMatthew PhillipsOliver KylingtonJack Thompson
Extra Forwards
Normal PowerPlayPenalty Kill
Philippe Daoust, Tucker Robertson, Michal TeplyPhilippe Daoust, Tucker RobertsonMichal Teply
Extra Defensemen
Normal PowerPlayPenalty Kill
Anttoni Honka, Calle Odelius, Dyllan GillAnttoni HonkaCalle Odelius, Dyllan Gill
Penalty Shots
Matthew Phillips, Rory Kerins, Zayde Wisdom, Ty Tullio, Tucker Robertson
Goalie
#1 : Aleksei Kolosov, #2 : Chase Clark


Filter Tips
PriorityTypeDescription
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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
1Admirals1010000048-41010000048-40000000000000.000481200822212245010095536106010000%5420.00%08817151.46%9319348.19%9318450.54%191992288618597
2Caroline11000000835110000008350000000000021.000812200082221227501009552427162150.00%110.00%08817151.46%9319348.19%9318450.54%191992288618597
3Las Vegas11000000642110000006420000000000021.000611170082221220501009552056114125.00%30100.00%18817151.46%9319348.19%9318450.54%191992288618597
4Manchots11000000532110000005320000000000021.000561100822212145010095534861711100.00%3166.67%08817151.46%9319348.19%9318450.54%191992288618597
5Minnesota10001000431000000000001000100043121.000461000822212175010095529929300.00%10100.00%08817151.46%9319348.19%9318450.54%191992288618597
6Monarchs1100000010551100000010550000000000021.000101424008222122750100955271331214125.00%30100.00%08817151.46%9319348.19%9318450.54%191992288618597
7Roadrunners1010000069-3000000000001010000069-300.0006814008222122750100955236121233100.00%10100.00%08817151.46%9319348.19%9318450.54%191992288618597
8Sound Tigers10001000541000000000001000100054121.000591400822212405010095532121119100.00%3166.67%08817151.46%9319348.19%9318450.54%191992288618597
9Spiders1010000013-2000000000001010000013-200.000112008222122450100955317414200.00%20100.00%08817151.46%9319348.19%9318450.54%191992288618597
10Wolf Pack11000000422000000000001100000042221.00046100082221230501009553110219100.00%110.00%08817151.46%9319348.19%9318450.54%191992288618597
Total1053020005344954100000332310512020002021-1140.700538113400822212250501009552878214114821733.33%23865.22%18817151.46%9319348.19%9318450.54%191992288618597
_Since Last GM Reset1053020005344954100000332310512020002021-1140.700538113400822212250501009552878214114821733.33%23865.22%18817151.46%9319348.19%9318450.54%191992288618597
_Vs Conference73301000353413210000019163412010001618-280.57135528700822212186501009552146612611212541.67%18761.11%08817151.46%9319348.19%9318450.54%191992288618597

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1014W253811342502878214114800
All Games
GPWLOTWOTL SOWSOLGFGA
105320005344
Home Games
GPWLOTWOTL SOWSOLGFGA
54100003323
Visitor Games
GPWLOTWOTL SOWSOLGFGA
51220002021
Last 10 Games
WLOTWOTL SOWSOL
730000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
21733.33%23865.22%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
50100955822212
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
8817151.46%9319348.19%9318450.54%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
191992288618597


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
3 - 2025-10-0920Las Vegas4Sags6WBoxScore
5 - 2025-10-1136Admirals8Sags4LBoxScore
8 - 2025-10-1455Caroline3Sags8WBoxScore
11 - 2025-10-1775Sags6Roadrunners9LBoxScore
12 - 2025-10-1888Manchots3Sags5WBoxScore
15 - 2025-10-21100Sags5Sound Tigers4WXBoxScore
17 - 2025-10-23116Sags4Wolf Pack2WBoxScore
18 - 2025-10-24124Sags1Spiders3LBoxScore
20 - 2025-10-26142Sags4Minnesota3WXBoxScore
22 - 2025-10-28165Monarchs5Sags10WBoxScore
24 - 2025-10-30176Spiders-Sags-
26 - 2025-11-01184Monsters-Sags-
27 - 2025-11-02198Cougars-Sags-
30 - 2025-11-05217Sags-Firebirds-
32 - 2025-11-07230Oceanics-Sags-
33 - 2025-11-08243Cabaret Lady Mary Ann-Sags-
36 - 2025-11-11261Sags-Minnesota-
38 - 2025-11-13276Sags-Heat-
40 - 2025-11-15295Sags-Firebirds-
43 - 2025-11-18314Roadrunners-Sags-
45 - 2025-11-20330Monarchs-Sags-
47 - 2025-11-22342Senators-Sags-
48 - 2025-11-23351Bruins-Sags-
51 - 2025-11-26371Sags-Monsters-
53 - 2025-11-28385Comets-Sags-
54 - 2025-11-29400Sags-Las Vegas-
56 - 2025-12-01410Roadrunners-Sags-
58 - 2025-12-03425Bears-Sags-
60 - 2025-12-05438Sags-Stars-
62 - 2025-12-07455Sags-Caroline-
64 - 2025-12-09469Sags-Phantoms-
66 - 2025-12-11480Sags-Marlies-
68 - 2025-12-13497Sags-Manchots-
71 - 2025-12-16527Heat-Sags-
73 - 2025-12-18543Stars-Sags-
75 - 2025-12-20561Firebirds-Sags-
78 - 2025-12-23586Sags-Las Vegas-
82 - 2025-12-27599Sags-Comets-
84 - 2025-12-29615Sags-Admirals-
86 - 2025-12-31625Minnesota-Sags-
89 - 2026-01-03649Thunder-Sags-
92 - 2026-01-06675Monsters-Sags-
93 - 2026-01-07681Sags-Monarchs-
96 - 2026-01-10700Stars-Sags-
97 - 2026-01-11715Las Vegas-Sags-
101 - 2026-01-15742Sags-Bears-
102 - 2026-01-16749Sags-Cougars-
105 - 2026-01-19773Sags-Cabaret Lady Mary Ann-
106 - 2026-01-20781Sags-Thunder-
109 - 2026-01-23808Wolf Pack-Sags-
113 - 2026-01-27838Sags-Comets-
115 - 2026-01-29854Sags-Oil Kings-
117 - 2026-01-31863Sags-Heat-
119 - 2026-02-02881Sags-Baby Hawks-
121 - 2026-02-04897Sags-Monsters-
143 - 2026-02-26928Heat-Sags-
145 - 2026-02-28936Oil Kings-Sags-
146 - 2026-03-01950Oceanics-Sags-
148 - 2026-03-03969Rocket-Sags-
151 - 2026-03-06989Chiefs-Sags-
152 - 2026-03-07999Sound Tigers-Sags-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-03-101013Sags-Crunch-
157 - 2026-03-121027Sags-Bruins-
159 - 2026-03-141048Sags-Rocket-
160 - 2026-03-151058Sags-Senators-
162 - 2026-03-171073Sags-Oil Kings-
164 - 2026-03-191092Crunch-Sags-
166 - 2026-03-211103Phantoms-Sags-
169 - 2026-03-241129Sags-Jayhawks-
171 - 2026-03-261143Sags-Chiefs-
173 - 2026-03-281158Sags-Monsters-
175 - 2026-03-301177Chiefs-Sags-
177 - 2026-04-011190Admirals-Sags-
178 - 2026-04-021202Marlies-Sags-
180 - 2026-04-041220Jayhawks-Sags-
182 - 2026-04-061231Baby Hawks-Sags-
184 - 2026-04-081246Oil Kings-Sags-
185 - 2026-04-091258Sags-Admirals-
187 - 2026-04-111275Comets-Sags-
189 - 2026-04-131287Sags-Jayhawks-
191 - 2026-04-151305Sags-Baby Hawks-
192 - 2026-04-161308Sags-Oceanics-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity17501250
Ticket Price5020
Attendance5,4144,248
Attendance PCT61.87%67.97%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
-1 1932 - 64.41% 85,358$426,792$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
193,775$ 1,626,000$ 1,626,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
8,425$ 193,775$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
-170,717$ 170 8,425$ 1,432,250$




Sags 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

Sags Goalies Stat Leaders (Regular Season)

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

Sags 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

Sags 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

Sags Goalies Stat Leaders (Play-Off)

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