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Lynx
GP: 53 | W: 37 | L: 9 | OTL: 7 | P: 81
GF: 252 | GA: 187 | PP%: 20.45% | PK%: 77.34%
GM : Chris Ralph | Morale : 78 | Team Overall : 59
Next Games #617 vs Fighting Pandas
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Game Center
Fighting Pandas
32-16-6, 70pts
4
FINAL
8 Lynx
37-9-7, 81pts
Team Stats
W1StreakL1
17-8-3Home Record22-4-2
15-8-3Home Record15-5-5
7-3-0Last 10 Games8-2-0
4.30Goals Per Game4.75
3.69Goals Against Per Game3.53
28.46%Power Play Percentage20.45%
75.44%Penalty Kill Percentage77.34%
Lynx
37-9-7, 81pts
4
FINAL
5 Barracuda
26-24-5, 57pts
Team Stats
L1StreakW1
22-4-2Home Record14-11-3
15-5-5Home Record12-13-2
8-2-0Last 10 Games4-4-2
4.75Goals Per Game4.93
3.53Goals Against Per Game5.13
20.45%Power Play Percentage23.33%
77.34%Penalty Kill Percentage71.01%
Fighting Pandas
32-16-6, 70pts
Day 117
Lynx
37-9-7, 81pts
Team Stats
W1StreakL1
17-8-3Home Record22-4-2
15-8-3Away Record15-5-5
7-3-0Last 10 Games8-2-0
4.30Goals Per Game4.75
3.69Goals Against Per Game4.75
28.46%Power Play Percentage20.45%
75.44%Penalty Kill Percentage77.34%
Lynx
37-9-7, 81pts
Day 118
Tomahawks
31-19-3, 65pts
Team Stats
L1StreakW3
22-4-2Home Record13-13-2
15-5-5Away Record18-6-1
8-2-0Last 10 Games7-3-0
4.75Goals Per Game5.06
3.53Goals Against Per Game5.06
20.45%Power Play Percentage17.46%
77.34%Penalty Kill Percentage78.29%
Lynx
37-9-7, 81pts
Day 121
Lions
16-34-6, 38pts
Team Stats
L1StreakOTL1
22-4-2Home Record8-16-3
15-5-5Away Record8-18-3
8-2-0Last 10 Games3-5-2
4.75Goals Per Game3.45
3.53Goals Against Per Game3.45
20.45%Power Play Percentage26.40%
77.34%Penalty Kill Percentage78.76%
Team Leaders
Logan CooleyGoals
Logan Cooley
41
Simon NemecAssists
Simon Nemec
49
Connor ZaryPoints
Connor Zary
84
Logan CooleyPlus/Minus
Logan Cooley
42
Jonas JohanssonWins
Jonas Johansson
36
Jonas JohanssonSave Percentage
Jonas Johansson
0.897

Team Stats
Goals For
252
4.75 GFG
Shots For
1885
35.57 Avg
Power Play Percentage
20.5%
27 GF
Offensive Zone Start
41.5%
Goals Against
187
3.53 GAA
Shots Against
1796
33.89 Avg
Penalty Kill Percentage
77.3%%
29 GA
Defensive Zone Start
37.6%
Team Info

General ManagerChris Ralph
CoachMats Sundin
DivisionAtlantic
ConferenceEastern Conference
CaptainLogan Cooley
Assistant #1Simon Nemec
Assistant #2Connor Zary


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team27
Farm Team19
Contract Limit46 / 50
Prospects48


Filter Tips
PriorityTypeDescription
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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
1Connor Zary (R) (A)XX99.00605683736477788158757364586164088670233500,000$
2Logan Cooley (R) (C)XXX100.00625589796278937857727462515560089670203500,000$
3Michael McLeodX100.00795688696876667789677071516869089670261500,000$
4Martin PospisilX100.00876552706271777657706464506365089650251500,000$
5Brett HowdenX100.00725784687272837462646271506668088650261500,000$
6Anthony BeauvillierX100.00665493726373757864685960506968089640272500,000$
7Trevor ZegrasXX100.006159726966786175547066596060630696302321,500,000$
8Mitchell ChaffeeX100.00805593676867587550596060506564083610271500,000$
9Adam RuzickaX100.00575788697866636962625258506565086600253500,000$
10Bo GroulxX100.00805875647170655861575066506163045590241500,000$
11Kirby DachXX100.00493590598050525450314948516070085500241500,000$
12Simon Nemec (R) (A)X100.00596377676976777250705472555761089650203500,000$
13Oliver KylingtonX100.00645881616569626850605770566970089620271500,000$
14Uvis BalinskisX100.00715884597064586350555366557171089610281500,000$
15Jack St. IvanyX100.00715792557149545750525068556669084580251500,000$
16Lane Hutson (R)X100.00503595585452565550605050575567044520203500,000$
17Yan KuznetsovX100.00503594587750515050495050555962060520221500,000$
Scratches
1Alex TurcotteX100.00525685646658546957565055506061036560233500,000$
2Shane WrightX100.00505089536855535871506350515563019540212500,000$
3Brian HalonenX100.00503589577450505050505050506262020510261500,000$
4Bradly Nadeau (R)X100.00503589575555545050505050505154020500193500,000$
5Victor SoderstromX100.00503594576550535050505050556062020520233500,000$
TEAM AVERAGE99.9562518564686463655659576053626506759
Filter Tips
PriorityTypeDescription
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# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Jonas Johansson98.0069737181746870717050507171081680291500,000$
2Devin Cooley100.0050636075575050505050506565089560271500,000$
Scratches
1Yaniv Perets100.0067606669506650505050506062024560241500,000$
2Jesper Wallstedt (R)100.0050615978525050505050505454036540223500,000$
3Matt Villalta100.0050615973505050505050506161024540251500,000$
TEAM AVERAGE99.605764637557575454545050626305158
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mats Sundin8595959060601SWE536500,000$


Filter Tips
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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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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
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
1Connor ZaryLynx (QUE)C/LW533648843840591222436917914.81%15131724.866393512001111264155.43%113300001.2703000748
2Logan CooleyLynx (QUE)C/LW/RW534140814216055882676017915.36%9111220.993363012110111210243.88%9800031.4603000752
3Anthony BeauvillierLynx (QUE)LW53323870144027892135815715.02%11106220.0435822990002567255.68%8800011.3212000763
4Martin PospisilLynx (QUE)C5331346526500162812024113215.35%1392417.452793697000064257.55%60300011.4100000587
5Simon NemecLynx (QUE)D53104959372610716481285312.35%86119422.54448371100110100200%000000.9900110223
6Trevor ZegrasLynx (QUE)C/LW501539542319593521503811110.00%696119.2407718910001250056.91%18100001.1200100423
7Brett HowdenLynx (QUE)C4628235112100521341715213216.37%1582717.991123251012541258.71%99300101.2300000355
8Luke HughesQuebec NordiquesD28631371610034293982715.38%4268524.473361466000154200%000101.0800000030
9Michael McLeodLynx (QUE)C221318312380315880275416.25%340418.381348250113502165.52%55100001.5300000231
10Uvis BalinskisLynx (QUE)D53623295400973047153712.77%6597418.382351260000060100%000000.6000000120
11Oliver KylingtonLynx (QUE)D536222828260944158254610.34%93117322.131342497022197100%000100.4800000003
12Mitchell ChaffeeLynx (QUE)RW3312112312203236102256111.76%954416.4900000000081052.63%3800000.8500000220
13Adam RuzickaLynx (QUE)C5341620-32017597327555.48%659011.14011212000050055.49%63800000.6800000000
14Jack St. IvanyLynx (QUE)D53217191227582302118209.52%6484315.9200008000043110%000000.4500001102
15Bo GroulxLynx (QUE)C1525713201171922510.53%223115.4100000000001043.75%1600000.6100000001
16Yan KuznetsovLynx (QUE)D2913415809372414.29%2145615.750001100005000%000000.1800000001
17Alex TurcotteLynx (QUE)C28123-400111728283.57%32529.02000011013440056.07%10700000.2400000000
18Lane HutsonLynx (QUE)D250221000858040%1746818.75000349000014000%000000.0900000000
19Kirby DachLynx (QUE)C/RW53011-3009413270%24358.2100014000000062.96%2700000.0500000000
20Shane WrightLynx (QUE)C7000000000000%010.21000000000000100.00%10000000000000
Team Total or Average813246422668316254209549491822499129113.50%4821446217.7926436924699435815766371157.51%447400350.9218211414239
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
1Jonas JohanssonLynx (QUE)5336860.8973.45309412117817260400.3758530221
2Devin CooleyLynx (QUE)31110.9142.981210067000000053000
Team Total or Average5637970.8983.433215121184179604085353221


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 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
Adam RuzickaLynx (QUE)C251999-05-11SVKNo215 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------NHL Link
Alex TurcotteLynx (QUE)C232001-02-26USANo185 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------NHL Link
Anthony BeauvillierLynx (QUE)LW271997-06-08CANNo180 Lbs5 ft11NoNoTrade2024-08-22NoNo2FalseFalsePro & Farm500,000$50,000$17,143$No500,000$--------500,000$--------No--------NHL Link
Bo GroulxLynx (QUE)C242000-02-06CANNo198 Lbs6 ft2NoNoFree AgentNoNo12024-10-21FalseFalsePro & Farm500,000$50,000$17,143$No---------------------------
Bradly NadeauLynx (QUE)LW192005-05-05CANYes161 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Brett HowdenLynx (QUE)C261998-03-29CANNo200 Lbs6 ft2NoNoFree AgentNoNo12024-10-21FalseFalsePro & Farm500,000$50,000$17,143$No---------------------------NHL Link
Brian HalonenLynx (QUE)LW261999-01-11USANo207 Lbs6 ft0NoNoTrade2024-10-07NoNo12024-10-07FalseFalsePro & Farm500,000$50,000$17,143$No---------------------------
Connor ZaryLynx (QUE)C/LW232001-09-25CANYes178 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------NHL Link
Devin CooleyLynx (QUE)G271997-05-25USANo192 Lbs6 ft5NoNoFree AgentNoNo12024-09-03FalseFalsePro & Farm500,000$50,000$17,143$No---------------------------NHL Link
Jack St. IvanyLynx (QUE)D251999-07-22USANo198 Lbs6 ft3NoNoTrade2024-10-07NoNo12024-10-07FalseFalsePro & Farm500,000$50,000$17,143$No---------------------------
Jesper WallstedtLynx (QUE)G222002-11-14SWEYes214 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------NHL Link
Jonas JohanssonLynx (QUE)G291995-09-19SWENo219 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$17,143$No---------------------------NHL Link
Kirby DachLynx (QUE)C/RW242001-01-21CANNo217 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$17,143$No---------------------------NHL Link
Lane HutsonLynx (QUE)D202004-02-14USAYes158 Lbs5 ft9NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Logan CooleyLynx (QUE)C/LW/RW202004-05-04USAYes174 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------NHL Link
Martin PospisilLynx (QUE)C251999-11-19SVKNo173 Lbs6 ft2NoNoFree AgentNoNo12024-09-03FalseFalsePro & Farm500,000$50,000$17,143$No---------------------------NHL Link
Matt VillaltaLynx (QUE)G251999-06-03CANNo190 Lbs6 ft3NoNoFree AgentNoNo12024-09-09FalseFalsePro & Farm500,000$50,000$17,143$No---------------------------
Michael McLeodLynx (QUE)C261998-02-03CANNo190 Lbs6 ft2NoNoN/ANoNo12024-08-19FalseFalsePro & Farm500,000$50,000$17,143$No---------------------------NHL Link
Mitchell ChaffeeLynx (QUE)RW271998-01-26USANo192 Lbs6 ft1NoNoAssign ManuallyNoNo12024-08-09FalseFalsePro & Farm500,000$50,000$17,143$No---------------------------NHL Link
Oliver KylingtonLynx (QUE)D271997-05-19SWENo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$17,143$No---------------------------NHL Link
Shane WrightLynx (QUE)C212004-01-05CANNo192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$17,143$No500,000$--------500,000$--------No--------NHL Link
Simon NemecLynx (QUE)D202004-02-15SVKYes190 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------NHL Link
Trevor ZegrasLynx (QUE)C/LW232001-03-20USANo185 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$150,000$51,429$No1,500,000$--------1,500,000$--------No--------NHL Link
Uvis BalinskisLynx (QUE)D281996-08-01LVANo196 Lbs6 ft0NoNoFree AgentNoNo12024-10-07FalseFalsePro & Farm500,000$50,000$17,143$No---------------------------NHL Link
Victor SoderstromLynx (QUE)D232001-02-26SWENo184 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm500,000$50,000$17,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------NHL Link
Yan KuznetsovLynx (QUE)D222002-03-09RUSNo209 Lbs6 ft4NoNoFree AgentNoNo12024-09-11FalseFalsePro & Farm500,000$50,000$17,143$No---------------------------
Yaniv PeretsLynx (QUE)G242000-03-04CANNo181 Lbs6 ft1NoNoFree AgentNoNo12024-09-09FalseFalsePro & Farm500,000$50,000$17,143$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2724.11191 Lbs6 ft11.78537,037$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Connor ZaryMichael McLeodLogan Cooley33014
2Anthony BeauvillierBrett HowdenMitchell Chaffee30023
3Trevor ZegrasMartin PospisilBo Groulx25113
4Connor ZaryAdam RuzickaKirby Dach12032
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Oliver KylingtonSimon Nemec40122
2Lane HutsonUvis Balinskis30122
3Yan KuznetsovJack St. Ivany20122
4Simon NemecOliver Kylington10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Martin PospisilConnor ZaryLogan Cooley60005
2Anthony BeauvillierMichael McLeodBrett Howden40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Simon NemecLane Hutson60014
2Uvis BalinskisOliver Kylington40014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Michael McLeodConnor Zary60041
2Brett HowdenAnthony Beauvillier40041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Simon NemecJack St. Ivany60140
2Uvis BalinskisOliver Kylington40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Michael McLeod60140Simon NemecJack St. Ivany60140
2Brett Howden40140Uvis BalinskisOliver Kylington40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Connor ZaryLogan Cooley60023
2Michael McLeodAnthony Beauvillier40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Simon NemecLane Hutson60032
2Uvis BalinskisOliver Kylington40032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Anthony BeauvillierConnor ZaryLogan CooleyOliver KylingtonSimon Nemec
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Connor ZaryMichael McLeodLogan CooleyOliver KylingtonSimon Nemec
Extra Forwards
Normal PowerPlayPenalty Kill
Adam Ruzicka, Bo Groulx, Mitchell ChaffeeMartin Pospisil, Adam RuzickaMitchell Chaffee
Extra Defensemen
Normal PowerPlayPenalty Kill
Oliver Kylington, Uvis Balinskis, Jack St. IvanyOliver KylingtonOliver Kylington, Uvis Balinskis
Penalty Shots
Logan Cooley, Connor Zary, Anthony Beauvillier, Martin Pospisil, Brett Howden
Goalie
#1 : Jonas Johansson, #2 : Devin Cooley
Custom OT Lines Forwards
Logan Cooley, Connor Zary, Anthony Beauvillier, Martin Pospisil, Brett Howden, Trevor Zegras, Trevor Zegras, Mitchell Chaffee, Adam Ruzicka, Bo Groulx, Kirby Dach
Custom OT Lines Defensemen
Simon Nemec, Oliver Kylington, Uvis Balinskis, Jack St. Ivany, Lane Hutson


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
1Aces11000000615000000000001100000061521.0006111700908174850566647639412274222150.00%20100.00%01098186558.87%968169257.21%54993958.47%147410861098336645343
2Admirals2200000011832200000011830000000000041.0001120310090817485656664763941942114405120.00%70100.00%11098186558.87%968169257.21%54993958.47%147410861098336645343
3Americiens4200010121192220000001174200001011012-260.75021365700908174816656664763941175582410814428.57%12375.00%01098186558.87%968169257.21%54993958.47%147410861098336645343
4Barons10001000101100010001010000000000021.0001230190817482756664763941208611400.00%20100.00%01098186558.87%968169257.21%54993958.47%147410861098336645343
5Barracuda402011002224-21010000056-1301011001718-130.3752240620090817481455666476394116142206510330.00%10460.00%01098186558.87%968169257.21%54993958.47%147410861098336645343
6Broncos11000000514110000005140000000000021.00059140090817482756664763941216624000%30100.00%11098186558.87%968169257.21%54993958.47%147410861098336645343
7Bruins430010002181333000000175121000100043181.000214061009081748138566647639411213327706116.67%11190.91%01098186558.87%968169257.21%54993958.47%147410861098336645343
8Butter Knives640000023024632000001131033200000117143100.8333055850090817482375666476394124758221201715.88%10460.00%01098186558.87%968169257.21%54993958.47%147410861098336645343
9Canucks22000000954110000005231100000043141.0009172600908174870566647639413715833500.00%4250.00%01098186558.87%968169257.21%54993958.47%147410861098336645343
10Fighting Pandas41201000171432110000011832010100066040.500173148009081748119566647639411425030758337.50%15380.00%01098186558.87%968169257.21%54993958.47%147410861098336645343
11Firebirds33000000191091100000065122000000135861.000193554009081748129566647639411213410617228.57%5180.00%01098186558.87%968169257.21%54993958.47%147410861098336645343
12Griffins11000000532000000000001100000053221.0005813009081748305666476394133146183133.33%30100.00%01098186558.87%968169257.21%54993958.47%147410861098336645343
13Ice Bats2010100010100100010006511010000045-120.5001019290090817481045666476394189311041300.00%5180.00%01098186558.87%968169257.21%54993958.47%147410861098336645343
14Marlies412010001011-1210010006422020000047-340.50010142400908174892566647639419931217410220.00%5180.00%01098186558.87%968169257.21%54993958.47%147410861098336645343
15Nordiks5210020023230311001001113-2210001001210260.6002341640090817482065666476394119057319616318.75%13376.92%11098186558.87%968169257.21%54993958.47%147410861098336645343
16Punishers210010001284100010006511100000063341.00012223400908174856566647639414381734200.00%6183.33%01098186558.87%968169257.21%54993958.47%147410861098336645343
17Roadrunners22000000945220000009450000000000041.00091827009081748685666476394149184388225.00%2150.00%01098186558.87%968169257.21%54993958.47%147410861098336645343
18Wombats43100000181352110000078-122000000115660.7501831490090817481325666476394111540207512325.00%10460.00%01098186558.87%968169257.21%54993958.47%147410861098336645343
19Wranglers11000000312000000000001100000031221.0003580090817483356664763941175624000%30100.00%01098186558.87%968169257.21%54993958.47%147410861098336645343
Total5330907403252187652818404101130913925125033021229626810.764252454706019081748188556664763941179653628610291322720.45%1282977.34%31098186558.87%968169257.21%54993958.47%147410861098336645343
_Since Last GM Reset5330907403252187652818404101130913925125033021229626810.764252454706019081748188556664763941179653628610291322720.45%1282977.34%31098186558.87%968169257.21%54993958.47%147410861098336645343
_Vs Conference3422503103161112492016201001966036146302102655213540.7941612894500090817481164566647639411184349178685871921.84%801877.50%21098186558.87%968169257.21%54993958.47%147410861098336645343
_Vs Division22114031039976231291010015834241023021024142-1320.7279917627500908174875256664763941784230124447551120.00%531277.36%01098186558.87%968169257.21%54993958.47%147410861098336645343

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5381L125245470618851796536286102901
All Games
GPWLOTWOTL SOWSOLGFGA
533097403252187
Home Games
GPWLOTWOTL SOWSOLGFGA
28184410113091
Visitor Games
GPWLOTWOTL SOWSOLGFGA
25125330212296
Last 10 Games
WLOTWOTL SOWSOL
820000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1322720.45%1282977.34%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
566647639419081748
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1098186558.87%968169257.21%54993958.47%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
147410861098336645343


Last Played Games
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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
14Lynx1Marlies3LBoxScore
29Lynx6Americiens7LXXBoxScore
421Nordiks7Lynx4LBoxScore
735Fighting Pandas4Lynx3LBoxScore
949Lynx4Bruins3WXBoxScore
1057Bruins1Lynx6WBoxScore
1373Marlies2Lynx3WXBoxScore
1584Lynx7Barracuda6WXBoxScore
1691Lynx3Fighting Pandas4LBoxScore
19103Barracuda6Lynx5LBoxScore
20112Lynx5Butter Knives6LXXBoxScore
21121Lynx4Americiens5LXBoxScore
22129Butter Knives3Lynx5WBoxScore
26145Americiens1Lynx4WBoxScore
27154Lynx7Nordiks4WBoxScore
31169Butter Knives5Lynx4LXXBoxScore
34179Lynx6Barracuda7LXBoxScore
35190Punishers5Lynx6WXBoxScore
40206Lynx5Griffins3WBoxScore
42216Bruins1Lynx6WBoxScore
45232Butter Knives2Lynx4WBoxScore
48245Lynx5Firebirds2WBoxScore
49254Bruins3Lynx5WBoxScore
51268Admirals6Lynx8WBoxScore
54279Lynx5Nordiks6LXBoxScore
55290Admirals2Lynx3WBoxScore
57303Lynx3Fighting Pandas2WXBoxScore
60314Wombats5Lynx2LBoxScore
62324Lynx7Butter Knives5WBoxScore
64333Nordiks4Lynx3LXBoxScore
68354Lynx6Aces1WBoxScore
69359Wombats3Lynx5WBoxScore
73377Roadrunners2Lynx6WBoxScore
74387Lynx5Butter Knives3WBoxScore
77398Canucks2Lynx5WBoxScore
79409Lynx4Ice Bats5LBoxScore
81417Lynx4Canucks3WBoxScore
82425Firebirds5Lynx6WBoxScore
86442Ice Bats5Lynx6WXBoxScore
88453Lynx8Firebirds3WBoxScore
89464Marlies2Lynx3WBoxScore
92478Lynx6Punishers3WBoxScore
93486Barons0Lynx1WXBoxScore
95494Lynx3Marlies4LBoxScore
96505Lynx5Wombats3WBoxScore
98511Broncos1Lynx5WBoxScore
101529Lynx3Wranglers1WBoxScore
102535Americiens6Lynx7WBoxScore
106554Nordiks2Lynx4WBoxScore
109571Lynx6Wombats2WBoxScore
110576Roadrunners2Lynx3WBoxScore
113594Fighting Pandas4Lynx8WBoxScore
115603Lynx4Barracuda5LBoxScore
117617Fighting Pandas-Lynx-
118620Lynx-Tomahawks-
121638Lynx-Lions-
122640Wranglers-Lynx-
126662Aces-Lynx-
129677Lynx-Bruins-
130684Lions-Lynx-
135705Tomahawks-Lynx-
Trade Deadline --- Trades can’t be done after this day is simulated!
137712Lynx-Fighting Pandas-
140727Punishers-Lynx-
141736Lynx-Punishers-
143747Barracuda-Lynx-
147765Lynx-Bruins-
148771Broncos-Lynx-
153793Barracuda-Lynx-
155802Lynx-Americiens-
157815Americiens-Lynx-
158819Lynx-Barons-
160831Lynx-Marlies-
161837Firebirds-Lynx-
162844Lynx-Roadrunners-
165859Marlies-Lynx-
166862Lynx-Admirals-
167868Lynx-Broncos-
168872Lynx-Americiens-
170882Griffins-Lynx-
171884Lynx-Admirals-
172889Lynx-Roadrunners-
173892Lynx-Broncos-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
13 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,309,733$ 1,450,000$ 1,450,000$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
1,450,000$ 981,134$ 27 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 60 11,143$ 668,580$




Lynx 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

Lynx Goalies Stat Leaders (Regular Season)

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

Lynx 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

Lynx 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

Lynx Goalies Stat Leaders (Play-Off)

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