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Sags
GP: 42 | W: 21 | L: 18 | OTL: 3 | P: 45
GF: 122 | GA: 123 | PP%: 20.00% | PK%: 81.46%
GM : Nicolas Gagnon | Morale : 90 | Team Overall : 57
Next Games #632 vs Rockets

Game Center
Barracudas
24-13-3, 51pts
5
3 Sags
21-18-3, 45pts
Team Stats
L1StreakW1
14-4-1Home Record13-7-0
10-9-2Home Record8-11-3
6-3-1Last 10 Games6-4-0
3.73Goals Per Game2.90
3.15Goals Against Per Game2.93
16.96%Power Play Percentage20.00%
84.07%Penalty Kill Percentage81.46%
Scorpions
19-18-4, 42pts
3
4 Sags
21-18-3, 45pts
Team Stats
L1StreakW1
13-5-2Home Record13-7-0
6-13-2Home Record8-11-3
5-5-0Last 10 Games6-4-0
3.20Goals Per Game2.90
3.07Goals Against Per Game2.93
18.78%Power Play Percentage20.00%
83.66%Penalty Kill Percentage81.46%
Sags
21-18-3, 45pts
Day 50
Rockets
22-18-0, 44pts
Team Stats
W1StreakW1
13-7-0Home Record13-7-0
8-11-3Away Record9-11-0
6-4-0Last 10 Games5-5-0
2.90Goals Per Game3.63
2.93Goals Against Per Game3.63
20.00%Power Play Percentage18.32%
81.46%Penalty Kill Percentage84.95%
CoolFm
20-19-2, 42pts
Day 52
Sags
21-18-3, 45pts
Team Stats
L2StreakW1
10-9-1Home Record13-7-0
10-10-1Away Record8-11-3
5-5-0Last 10 Games6-4-0
2.80Goals Per Game2.90
3.24Goals Against Per Game2.90
13.57%Power Play Percentage20.00%
87.69%Penalty Kill Percentage81.46%
Sags
21-18-3, 45pts
Day 53
Farmers
17-23-1, 35pts
Team Stats
W1StreakL2
13-7-0Home Record8-12-0
8-11-3Away Record9-11-1
6-4-0Last 10 Games4-6-0
2.90Goals Per Game2.73
2.93Goals Against Per Game2.73
20.00%Power Play Percentage19.05%
81.46%Penalty Kill Percentage82.25%
Team Leaders
Brett LeasonGoals
Brett Leason
8
Torey KrugAssists
Torey Krug
19
Torey KrugPoints
Torey Krug
24
Torey KrugPlus/Minus
Torey Krug
0
Clay StevensonWins
Clay Stevenson
6
Kevin MandoleseSave Percentage
Kevin Mandolese
0.917

Team Stats
Goals For
122
2.90 GFG
Shots For
1091
25.98 Avg
Power Play Percentage
20.0%
40 GF
Offensive Zone Start
37.0%
Goals Against
123
2.93 GAA
Shots Against
1388
33.05 Avg
Penalty Kill Percentage
81.5%%
28 GA
Defensive Zone Start
44.2%
Team Info

General ManagerNicolas Gagnon
CoachLane Lambert
DivisionDivision Est
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance3,000
Season Tickets3,000


Roster Info

Pro Team26
Farm Team18
Contract Limit44 / 50
Prospects102


Filter Tips
PriorityTypeDescription
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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.
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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
1Tanner JeannotX100.009969597578558153304759556687750906002842,000,000$
2Tanner LaczynskiX100.00504587756950404730405455508774090530284775,000$
3Adam BoqvistX99.00544587865559426430636455698472090630255900,000$
4Torey KrugX100.005045848951504045304050555093890905803422,250,000$
5Matt KierstedX100.005045927850534047304450625087750905702721,600,000$
6Dysin MayoX100.00504595786050404530405055508674090560293800,000$
7Kyle CapobiancoX100.00504590766450404530405055508775090560283800,000$
8Cole McWard (R)X100.00504595775850404530405055508269090550245800,000$
Scratches
1Brett LeasonX100.006945857785657556305657776785750906402631,250,000$
2Luke EvangelistaX100.005545868656698264306762656983740906402333,000,000$
3Philip TomasinoX100.006945918459657461305765616883730906302411,200,000$
4Craig SmithX100.00674579806857715830536361689583090610362950,000$
5Juha Jaaska (R)X86.856848837769504053305650576687740905702741,550,000$
6Nikita AlexandrovX100.005045907956504045714050555083700905402551,075,000$
7Ben MeyersX100.00564592775950404530405057508673090530262925,000$
8Samuel LabergeX100.00504595757250404530405055508774090530282800,000$
9Rocco GrimaldiX100.00504595786050404530405055509077090530323775,000$
10Aku Raty (R)X100.005045958050504045304050555082710905202451,075,000$
11Matthew Phillips (R)X100.00504595824050404530405055508673090520274775,000$
12Gabriel LandeskogX100.00504595746050404530405055509178090520322900,000$
13Alexander ChmelevskiX100.00504595776050404530405055508471090520264775,000$
14Nathan Smith (R)X100.00504595796050404530405055508471090520263800,000$
15Aidan McDonough (R)X100.00504595776050404530405055508370090520254800,000$
16Parker WotherspoonX100.007745907957756651304952686587790906402853,000,000$
TEAM AVERAGE99.3857468979615449493246535856867509057
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
Scratches
1Clay Stevenson (R)100.0070506087707070707070708572090620265900,000$
2Kevin Mandolese (R)100.0070404083656565656565658270090570255800,000$
TEAM AVERAGE100.007045508568686868686868847109060
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Lane Lambert65656565947352CAN6241,000,000$


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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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
1Torey KrugSags (CHI)D39519240240733348152810.42%4575919.47369281230000810050.00%200000.6300000441
2Adam BoqvistSags (CHI)D3041620-1280243533172412.12%3061220.42471119104000065000%300000.6501000322
3Parker WotherspoonSags (CHI)D3161218-7440108446917268.70%4671823.19448491320000690150.00%200000.5012000444
4Tanner JeannotSags (CHI)RW397815-560101194367175110.45%659115.1623516620000170046.39%9700000.5122110173
5Matt KierstedSags (CHI)D3331215-39539333112289.68%2866320.1123520990110722025.00%800000.4500001203
6Brett LeasonSags (CHI)LW248614-3160423852103215.38%1049020.43459121080003702128.33%6000010.5701000220
7Luke EvangelistaSags (CHI)RW114711-500132624101916.67%423821.721347520000121043.59%3900000.9200000210
8Craig SmithSags (CHI)RW17538-880362339122512.82%332319.010111061000090057.14%2800000.4900000300
9Ben MeyersSags (CHI)C24268-420747313136.45%740216.752138380000110038.40%40100000.4001000112
10Kyle CapobiancoSags (CHI)D42167-63406627278153.70%4268616.351015390000280020.00%500000.2000000132
11Tanner LaczynskiSags (CHI)C21246-1060639273177.41%433515.950005390000241040.77%39000000.3600000101
12Dysin MayoSags (CHI)D29156-101804021124148.33%2349917.220114250000210034.00%5000000.2400000110
13Landon SlaggertChicago BlackhawksLW8415-2002131661425.00%315919.882028330000222015.38%1300000.6300000101
14Aku RatySags (CHI)RW23314-12042819121915.79%328412.36000115000092054.17%2400000.2801000023
15Nathan SmithSags (CHI)C23224-500838294276.90%1034014.811015330000290040.73%41000000.2302000104
16Rocco GrimaldiSags (CHI)LW16314-2004152411312.50%326216.43000012000072025.00%2800000.3000000011
17Gabriel LandeskogSags (CHI)LW25213-720720249198.33%640016.03000127000060033.33%3600000.1501000010
18Philip TomasinoSags (CHI)LW12123-70020182311194.35%325120.930225560001290028.57%2100000.2400000110
19Cole McWardSags (CHI)D19123-24018913267.69%1422912.09000230000100050.00%400000.2600000110
20Nikita AlexandrovSags (CHI)C13123-22042811149.09%125019.241122470001220056.80%29400000.2400000001
21Juha JaaskaSags (CHI)LW18112-5802218184135.56%324713.750005390000150042.42%3300000.1600000001
22Samuel LabergeSags (CHI)C10101-200114731114.29%116216.20000010000000036.46%19200000.1200000000
23Aidan McDonoughSags (CHI)C4000-300122020%0348.6300000000000025.71%350000000000000
Team Total or Average51167117184-1112471566461264618143910.37%295894317.502737642121167011563912241.33%217500010.41311111293129
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
1Clay StevensonSags (CHI)166910.9152.5893203404700000.8577161431
2Kevin MandoleseSags (CHI)115410.9172.9363501313740000.50041020412
Team Total or Average27111320.9162.7215670471844000112621843


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.
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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 ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce UFA Emergency Recall Type Current Salary Salary 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 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
Adam BoqvistSags (CHI)D252000-08-15SWENo189 Lbs6 ft0NoNoTrade2025-01-09NoNo52026-03-08FalseFalsePro & Farm900,000$491,667$0$0$No900,000$900,000$900,000$900,000$-----900,000$900,000$900,000$900,000$-----NoNoNoNo-----NHL Link
Aidan McDonoughSags (CHI)C251999-11-06USAYes190 Lbs6 ft3NoNoTrade2026-05-28NoNo42026-03-08FalseFalsePro & Farm800,000$437,037$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------NHL Link
Aku RatySags (CHI)RW242001-07-05FINYes170 Lbs6 ft0NoNoAssign ManuallyNoNo52026-03-20FalseFalsePro & Farm1,075,000$587,269$0$0$No1,075,000$1,075,000$1,075,000$1,075,000$-----1,075,000$1,075,000$1,075,000$1,075,000$-----NoNoNoNo-----NHL Link
Alexander ChmelevskiSags (CHI)RW261999-06-09USANo188 Lbs6 ft0NoNoN/ANoNo42026-03-08FalseFalsePro & Farm775,000$423,380$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Ben MeyersSags (CHI)C261998-11-15USANo194 Lbs5 ft11NoNoN/ANoNo22026-03-08FalseFalsePro & Farm925,000$505,324$0$0$No925,000$--------925,000$--------No--------NHL Link
Brett LeasonSags (CHI)LW261999-04-30CANNo218 Lbs6 ft5NoNoTrade2026-05-16NoNo32026-03-08FalseFalsePro & Farm1,250,000$682,870$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------NHL Link
Clay StevensonSags (CHI)G261999-03-03CANYes195 Lbs6 ft4NoNoProspectNoNo52026-03-08FalseFalsePro & Farm900,000$491,667$0$0$No900,000$900,000$900,000$900,000$-----900,000$900,000$900,000$900,000$-----NoNoNoNo-----NHL Link
Cole McWardSags (CHI)D242001-06-09USAYes192 Lbs6 ft1NoNoTrade2025-09-11NoNo52026-03-08FalseFalsePro & Farm800,000$437,037$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----NHL Link
Craig SmithSags (CHI)RW361989-09-05USANo203 Lbs6 ft1NoNoN/ANoNo22026-03-08FalseFalsePro & Farm950,000$518,981$0$0$No950,000$--------950,000$--------No--------NHL Link
Dysin MayoSags (CHI)D291996-08-17CANNo183 Lbs6 ft2NoNoAssign ManuallyNoNo32026-03-08FalseFalsePro & Farm800,000$437,037$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------NHL Link
Gabriel LandeskogSags (CHI)LW321992-11-23SWENo215 Lbs6 ft1NoNoN/ANoNo22026-03-08FalseFalsePro & Farm900,000$491,667$0$0$No900,000$--------900,000$--------No--------NHL Link
Juha Jaaska (Out of Payroll)Sags (CHI)LW271998-02-09SWEYes210 Lbs6 ft0NoNoAssign ManuallyNoNo42026-03-08FalseFalsePro & Farm1,550,000$846,759$0$0$Yes1,550,000$1,550,000$1,550,000$------1,550,000$1,550,000$1,550,000$------NoNoNo------NHL Link
Kevin MandoleseSags (CHI)G252000-08-22CANYes180 Lbs6 ft4NoNoN/ANoNo52026-03-08FalseFalsePro & Farm800,000$437,037$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----NHL Link
Kyle CapobiancoSags (CHI)D281997-08-13CANNo201 Lbs6 ft2NoNoAssign ManuallyNoNo32026-03-08FalseFalsePro & Farm800,000$437,037$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------NHL Link
Luke EvangelistaSags (CHI)RW232002-02-21CANNo183 Lbs6 ft0NoNoTrade2026-04-21NoNo32026-03-08FalseFalsePro & Farm3,000,000$1,638,889$0$0$No3,000,000$3,000,000$-------3,000,000$3,000,000$-------NoNo-------NHL Link
Matt KierstedSags (CHI)D271998-04-14USANo181 Lbs6 ft0NoNoTrade2025-09-18NoNo22026-03-08FalseFalsePro & Farm1,600,000$874,074$0$0$No1,600,000$--------1,600,000$--------No--------NHL Link
Matthew PhillipsSags (CHI)LW271998-04-06CANYes160 Lbs5 ft8NoNoN/ANoNo42026-03-08FalseFalsePro & Farm775,000$423,380$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------NHL Link
Nathan SmithSags (CHI)C261998-10-19USAYes177 Lbs6 ft0NoNoN/ANoNo32026-03-08FalseFalsePro & Farm800,000$437,037$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Nikita AlexandrovSags (CHI)C252000-09-16RUSNo177 Lbs6 ft1NoNoAssign ManuallyNoNo52026-03-20FalseFalsePro & Farm1,075,000$587,269$0$0$No1,075,000$1,075,000$1,075,000$1,075,000$-----1,075,000$1,075,000$1,075,000$1,075,000$-----NoNoNoNo-----NHL Link
Parker WotherspoonSags (CHI)D281997-08-24CANNo195 Lbs6 ft1NoNoTrade2025-12-11NoNo52026-03-08FalseFalsePro & Farm3,000,000$1,638,889$0$0$No3,000,000$3,000,000$3,000,000$3,000,000$-----3,000,000$3,000,000$3,000,000$3,000,000$-----NoNoNoNo-----NHL Link
Philip TomasinoSags (CHI)LW242001-07-28CANNo179 Lbs6 ft0NoNoTrade2025-12-07NoNo12026-03-08FalseFalsePro & Farm1,200,000$655,556$0$0$No---------------------------NHL Link
Rocco GrimaldiSags (CHI)LW321993-02-08USANo180 Lbs5 ft6NoNoN/ANoNo32026-03-08FalseFalsePro & Farm775,000$423,380$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------NHL Link
Samuel LabergeSags (CHI)C281997-04-10CANNo206 Lbs6 ft2NoNoN/ANoNo22026-03-08FalseFalsePro & Farm800,000$437,037$0$0$No800,000$--------800,000$--------No--------NHL Link
Tanner JeannotSags (CHI)RW281997-05-29CANNo220 Lbs6 ft2NoNoTrade2026-01-16NoNo42026-03-08FalseFalsePro & Farm2,000,000$1,092,593$0$0$No2,000,000$2,000,000$2,000,000$------2,000,000$2,000,000$2,000,000$------NoNoNo------NHL Link
Tanner LaczynskiSags (CHI)C281997-06-01USANo190 Lbs6 ft1NoNoN/ANoNo42026-03-08FalseFalsePro & Farm775,000$423,380$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------NHL Link
Torey KrugSags (CHI)D341991-04-12USANo194 Lbs5 ft9NoNoTrade2025-06-06NoNo22026-03-08FalseFalsePro & Farm2,250,000$1,229,167$0$0$No2,250,000$--------2,250,000$--------No--------NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2627.27191 Lbs6 ft13.461,202,885$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
135122
2Tanner Laczynski30122
3Tanner Jeannot25122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam Boqvist35122
2Torey KrugMatt Kiersted30122
3Dysin MayoKyle Capobianco25122
4Cole McWard10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
155122
2Tanner Laczynski45122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam Boqvist55122
2Torey KrugMatt Kiersted45122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
155122
2Tanner Laczynski45122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam Boqvist55122
2Torey KrugMatt Kiersted45122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
155122Adam Boqvist55122
2Tanner Laczynski45122Torey KrugMatt Kiersted45122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
155122
2Tanner Laczynski45122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam Boqvist55122
2Torey KrugMatt Kiersted45122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Adam Boqvist
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Tanner LaczynskiTorey KrugMatt Kiersted
Extra Forwards
Normal PowerPlayPenalty Kill
, , Tanner Laczynski,
Extra Defensemen
Normal PowerPlayPenalty Kill
Dysin Mayo, Kyle Capobianco, Cole McWardDysin MayoDysin Mayo, Kyle Capobianco
Penalty Shots
, , Tanner Jeannot, ,
Goalie
#1 : , #2 :


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
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
1Bandits11000000633000000000001100000063321.000612180042394033538435934118409830200.00%4325.00%1531126042.14%692150446.01%28464144.31%9726731049301511257
2Barracudas20200000511-61010000035-21010000026-400.0005914104239403553843593411887214517114.29%2150.00%0531126042.14%692150446.01%28464144.31%9726731049301511257
3Chiwawa22000000835110000002021100000063341.00081523014239403533843593411859129399333.33%20100.00%0531126042.14%692150446.01%28464144.31%9726731049301511257
4CoolFm21100000660000000000002110000066020.5006111700423940340384359341184814163311327.27%8362.50%0531126042.14%692150446.01%28464144.31%9726731049301511257
5Farmers11000000211110000002110000000000021.0002460042394032438435934118286893133.33%40100.00%0531126042.14%692150446.01%28464144.31%9726731049301511257
6Goons1010000015-4000000000001010000015-400.0001230042394033338435934118194828200.00%40100.00%0531126042.14%692150446.01%28464144.31%9726731049301511257
7Grizzlies31200000770211000006511010000012-120.333712190042394031043843593411810724628714214.29%15286.67%0531126042.14%692150446.01%28464144.31%9726731049301511257
8Hunters41300000917-820200000210-82110000077020.25091827014239403104384359341181735026952514.00%11372.73%0531126042.14%692150446.01%28464144.31%9726731049301511257
9Husky320000011073110000003122100000176150.83310203000423940397384359341187824386618527.78%18477.78%0531126042.14%692150446.01%28464144.31%9726731049301511257
10Igloos1010000035-2000000000001010000035-200.000358004239403223843593411845131220100.00%6266.67%0531126042.14%692150446.01%28464144.31%9726731049301511257
11Marlies1010000035-21010000035-20000000000000.00035800423940318384359341183296177114.29%3233.33%0531126042.14%692150446.01%28464144.31%9726731049301511257
12Marmots21100000541110000004221010000012-120.50051015004239403453843593411841510369222.22%5260.00%0531126042.14%692150446.01%28464144.31%9726731049301511257
13Outlaws1000010034-1000000000001000010034-110.5003690042394032238435934118491612253266.67%6183.33%0531126042.14%692150446.01%28464144.31%9726731049301511257
14Raptors11000000422110000004220000000000021.0004812004239403363843593411839141427300.00%70100.00%0531126042.14%692150446.01%28464144.31%9726731049301511257
15Rockets413000001016-62110000057-22020000059-420.2501017270042394031033843593411817049438719631.58%19478.95%0531126042.14%692150446.01%28464144.31%9726731049301511257
16Scorpions22000000752110000004311100000032141.000714210042394037038435934118592112527228.57%5180.00%0531126042.14%692150446.01%28464144.31%9726731049301511257
17Smirnoff Ice11000000202110000002020000000000021.0002460142394031638435934118135418300.00%20100.00%0531126042.14%692150446.01%28464144.31%9726731049301511257
18Snowbirds21100000532110000003031010000023-120.5005712014239403373843593411854136374125.00%30100.00%0531126042.14%692150446.01%28464144.31%9726731049301511257
19Spartans220000001257110000008351100000042241.00012223400423940360384359341186720225316531.25%110100.00%1531126042.14%692150446.01%28464144.31%9726731049301511257
20Supreme1000010034-1000000000001000010034-110.500358004239403333843593411833842012216.67%10100.00%0531126042.14%692150446.01%28464144.31%9726731049301511257
21TigersCats1010000013-2000000000001010000013-200.00012300423940315384359341184014920600.00%20100.00%0531126042.14%692150446.01%28464144.31%9726731049301511257
22Twins21000010312110000002111000001010141.000336014239403273843593411834148279111.11%40100.00%0531126042.14%692150446.01%28464144.31%9726731049301511257
23Vipers11000000422110000004220000000000021.00048120042394032638435934118411212243133.33%50100.00%0531126042.14%692150446.01%28464144.31%9726731049301511257
24Xpress1010000034-11010000034-10000000000000.000358004239403163843593411832910247114.29%40100.00%0531126042.14%692150446.01%28464144.31%9726731049301511257
Total42201800211122123-120137000006051922711002116272-10450.53612222434615423940310913843593411813883863639252004020.00%1512881.46%2531126042.14%692150446.01%28464144.31%9726731049301511257
_Since Last GM Reset42201800211122123-120137000006051922711002116272-10450.53612222434615423940310913843593411813883863639252004020.00%1512881.46%2531126042.14%692150446.01%28464144.31%9726731049301511257
_Vs Conference1610300210544014871000003016148320021024240240.750549715113423940341938435934118522151103355731824.66%46393.48%1531126042.14%692150446.01%28464144.31%9726731049301511257
_Vs Division10810010039221755000000218135310010018144170.8503971110024239403289384359341183118867228511325.49%29196.55%1531126042.14%692150446.01%28464144.31%9726731049301511257

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
4245W11222243461091138838636392515
All Games
GPWLOTWOTL SOWSOLGFGA
4220180211122123
Home Games
GPWLOTWOTL SOWSOLGFGA
2013700006051
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2271102116272
Last 10 Games
WLOTWOTL SOWSOL
640000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2004020.00%1512881.46%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
384359341184239403
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
531126042.14%692150446.01%28464144.31%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
9726731049301511257


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
112Hunters6Sags2LBox score
227Sags2Rockets4LBox score
335Sags5CoolFm4WBox score
554Rockets4Sags5WBox score
671Sags1Goons5LBox score
782Marmots2Sags4WBox score
9102Sags3Husky1WBox score
10112Rockets3Sags0LBox score
11120Sags1TigersCats3LBox score
12142Smirnoff Ice0Sags2WBox score
14163Marlies5Sags3LBox score
15175Sags1CoolFm2LBox score
16181Sags1Hunters7LBox score
17203Grizzlies2Sags1LBox score
18214Sags1Twins0WXXBox score
19232Farmers1Sags2WBox score
20245Sags3Rockets5LBox score
22265Raptors2Sags4WBox score
23278Sags6Chiwawa3WBox score
24292Sags4Husky5LXXBox score
25306Husky1Sags3WBox score
27324Spartans3Sags8WBox score
28336Sags1Grizzlies2LBox score
29348Sags6Hunters0WBox score
30365Grizzlies3Sags5WBox score
31381Sags3Outlaws4LXBox score
33397Hunters4Sags0LBox score
34414Sags1Marmots2LBox score
35426Twins1Sags2WBox score
36437Sags3Supreme4LXBox score
37456Snowbirds0Sags3WBox score
39476Sags2Snowbirds3LBox score
40486Sags2Barracudas6LBox score
41494Xpress4Sags3LBox score
42517Chiwawa0Sags2WBox score
43528Sags4Spartans2WBox score
44547Vipers2Sags4WBox score
45554Sags3Igloos5LBox score
46573Sags3Scorpions2WBox score
47584Sags6Bandits3WBox score
48596Barracudas5Sags3LBox score
49617Scorpions3Sags4WBox score
50632Sags-Rockets-
52649CoolFm-Sags-
53669Sags-Farmers-
54675Sags-Marlies-
55689Goons-Sags-
56703Sags-Warriors-
57715Bandits-Sags-
58739Supreme-Sags-
59756Sags-Xpress-
60763Sags-Twins-
61778Marlies-Sags-
63802Vandals-Sags-
64812Sags-Raptors-
65826Sags-Smirnoff Ice-
66837TigersCats-Sags-
68857Sags-Raptors-
69866Igloos-Sags-
70887Sags-Vandals-
71897Smirnoff Ice-Sags-
73917Sags-Warriors-
74926Rockets-Sags-
76948Sags-Wolves-
77959Igloos-Sags-
79991Bandits-Sags-
80999Sags-TigersCats-
821021Warriors-Sags-
831043Bayou-Sags-
841053Sags-Vipers-
861068Sags-Predateurs-
871083Thugs-Sags-
891101Sags-Bayou-
901114Outlaws-Sags-
921131Sags-Goons-
931146Farmers-Sags-
951170Sags-Xpress-
961177Marmots-Sags-
991206Wolves-Sags-
1011217Sags-Thugs-
1031239Predateurs-Sags-
1081271Wolves-Sags-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price8030
Attendance40,00020,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
21 3000 - 100.00% 228,000$4,560,000$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,816,080$ 3,127,500$ 3,127,500$ 1,000,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,358,047$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
4,788,000$ 59 38,218$ 2,254,862$




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