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

Lynx
GP: 82 | W: 43 | L: 36 | OTL: 3 | P: 89
GF: 342 | GA: 349 | PP%: 28.75% | PK%: 78.82%
GM : Chris Ralph | Morale : 60 | Team Overall : 58

Game Center
Lynx
43-36-3, 89pts
6
FINAL
7 Ice Bats
30-39-13, 73pts
Team Stats
W1StreakL1
22-18-1Home Record15-20-6
21-18-2Home Record15-19-7
6-2-2Last 10 Games4-5-1
4.17Goals Per Game4.23
4.26Goals Against Per Game4.96
28.75%Power Play Percentage26.74%
78.82%Penalty Kill Percentage74.56%
Americiens
48-30-4, 100pts
4
FINAL
5 Lynx
43-36-3, 89pts
Team Stats
L2StreakW1
25-14-2Home Record22-18-1
23-16-2Home Record21-18-2
5-4-1Last 10 Games6-2-2
5.21Goals Per Game4.17
4.80Goals Against Per Game4.26
28.09%Power Play Percentage28.75%
72.59%Penalty Kill Percentage78.82%
Team Leaders
Kirby DachGoals
Kirby Dach
75
Kirby DachAssists
Kirby Dach
67
Kirby DachPoints
Kirby Dach
142
Kirby DachPlus/Minus
Kirby Dach
23
Joel BlomqvistWins
Joel Blomqvist
26
Pyotr KochetkovSave Percentage
Pyotr Kochetkov
0.923

Team Stats
Goals For
342
4.17 GFG
Shots For
2538
30.95 Avg
Power Play Percentage
28.8%
46 GF
Offensive Zone Start
37.2%
Goals Against
349
4.26 GAA
Shots Against
3114
37.98 Avg
Penalty Kill Percentage
78.8%%
18 GA
Defensive Zone Start
40.9%
Team Info

General ManagerChris Ralph
CoachMats Sundin
DivisionAtlantic
ConferenceEastern Conference
CaptainMathew Barzal
Assistant #1Kirby Dach
Assistant #2Alex Turcotte


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team16
Farm Team20
Contract Limit36 / 50
Prospects37


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
1Mathew Barzal (C)XX100.006555936868846272557768625368710666602811,500,000$
2Kirby Dach (A)XX100.00806168728177747356707056626264082650254500,000$
3Alex Turcotte (A)XXX100.00645687696769807459716560506264081640252500,000$
4Juha JaaskaX100.00656889597557535958615153506867057560281500,000$
5Jacob GaucherX100.00493590596850505058515047506464077510251500,000$
6Jacob MelansonX100.00563590597650504950505146505860074510221500,000$
7Jacob QuillanX100.00503590597550505049514948505960078510241500,000$
8Chase BradleyX100.00493590596550505050515046505961071500241500,000$
9Adam Wilsby (R)X100.00655787616771586950645472556467063620251500,000$
10Oliver KylingtonX100.00505979576547556150565161556868062560281500,000$
11Ian Moore (R)X100.00493595597550525150505150556164061530241500,000$
Scratches
1Tim WasheX100.00513590597950505050514949506363060520241500,000$
2Matthew RobertsonX100.00503594577650545050505050556063050530251500,000$
TEAM AVERAGE100.0057468861725857585358555453636406856
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
1Pyotr Kochetkov100.0081838273828780838179636469080770262500,000$
2Joel Blomqvist (R)100.0063676675645255565450505860010580241550,000$
Scratches
1Nikita Tolopilo (R)100.0050615984505050505050506060020550261500,000$
TEAM AVERAGE100.006570697765636263626054616303763
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mats Sundin8595959060601SWE545500,000$


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
1Kirby DachLynx (QUE)C/RW8275671422335521315741310230818.16%22185122.5871724561520001325754.94%66800141.530401014129
2Alex TurcotteLynx (QUE)C/LW/RW824951100-1714010718838310527812.79%41172721.0710717331010000264453.85%36400001.1622000843
3Mathew BarzalLynx (QUE)C/RW5421537476041143228671929.21%34138625.680111121890000495254.10%113300001.0704000373
4Shane WrightQuebec NordiquesC/LW28293261312015711654012817.58%1167224.0332517490002343358.18%33000011.8100000457
5Adam WilsbyLynx (QUE)D54144357-6180928784345016.67%118128923.88591427850000422150.00%200100.8800000247
6Juha JaaskaLynx (QUE)LW73133346-248081129163411137.98%23157921.6324612770000150051.63%58300000.5811000112
7Luke HughesQuebec NordiquesD2453439110021454362811.63%3965127.1339121746000021200%000001.2000000204
8Jacob GaucherLynx (QUE)C82132235-314050144112298911.61%20160419.57011114000090053.15%149000100.4402000201
9Tim WasheLynx (QUE)C8072431-268050847116389.86%52173221.65044321000070148.16%95300000.3600000003
10Chase BradleyLynx (QUE)LW8272027-474060518838677.95%28162719.8500019000021049.50%10100000.3300000100
11Jacob MelansonLynx (QUE)RW82141327-41806260115347912.17%11168320.53000567000025049.59%24600000.3226000310
12Jacob QuillanLynx (QUE)C7181927-3340615955175114.55%57128018.0400001000002042.07%59900000.4200000121
13Ian MooreLynx (QUE)D7442125-206042444311309.30%89137118.540001160000151138.46%1300000.3600000011
14Oliver KylingtonLynx (QUE)D35369-18035252672711.54%4671020.3100025000002800100.00%200000.2500000000
Team Total or Average903262438700-184135593012871989547147813.17%5911916921.233064941967830003291301951.70%648400350.73519010413741
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
1Joel BlomqvistLynx (QUE)64262720.8705.0331762126620520000.833126182020
2Pyotr KochetkovLynx (QUE)2116500.9232.57121442526720300.8005210222
Team Total or Average85423220.8834.354390633182724030178282242


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 WilsbyLynx (QUE)D252000-08-07SWEYes188 Lbs6 ft1NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$0$No---------------------------Link / NHL Link
Alex TurcotteLynx (QUE)C/LW/RW252001-02-26USANo185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Chase BradleyLynx (QUE)LW242002-01-09USANo180 Lbs5 ft11NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$0$No---------------------------Link / NHL Link
Ian MooreLynx (QUE)D242002-01-04USAYes203 Lbs6 ft3NoNoFree AgentNoNo12025-08-19FalseFalsePro & Farm500,000$50,000$0$No---------------------------Link / NHL Link
Jacob GaucherLynx (QUE)C252001-03-09CANNo185 Lbs6 ft3NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$0$No---------------------------Link / NHL Link
Jacob MelansonLynx (QUE)RW222003-04-22CANNo207 Lbs6 ft0NoNoFree AgentNoNo12025-08-18FalseFalsePro & Farm500,000$50,000$0$No---------------------------Link / NHL Link
Jacob QuillanLynx (QUE)C242002-02-02CANNo204 Lbs6 ft1NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$0$No---------------------------Link / NHL Link
Joel BlomqvistLynx (QUE)G242002-01-10FINYes200 Lbs6 ft3NoNoFree AgentNoNo12025-08-07FalseFalsePro & Farm550,000$55,000$0$No---------------------------Link / NHL Link
Juha JaaskaLynx (QUE)LW281998-02-09FINNo210 Lbs6 ft0NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$0$No---------------------------Link / NHL Link
Kirby DachLynx (QUE)C/RW252001-01-21CANNo221 Lbs6 ft4NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm500,000$50,000$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
Mathew BarzalLynx (QUE)C/RW281997-05-26CANNo190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$150,000$0$No---------------------------Link / NHL Link
Matthew RobertsonLynx (QUE)D252001-03-09CANNo211 Lbs6 ft4NoNoFree AgentNoNo12026-03-28FalseFalsePro & Farm500,000$50,000$0$No---------------------------Link / NHL Link
Nikita TolopiloLynx (QUE)G262000-04-06BLRYes229 Lbs6 ft6NoNoFree AgentNoNo12025-08-09FalseFalsePro & Farm500,000$50,000$0$No---------------------------Link / NHL Link
Oliver KylingtonLynx (QUE)D281997-05-19SWENo183 Lbs6 ft0NoNoFree AgentNoNo12025-08-29FalseFalsePro & Farm500,000$50,000$0$No---------------------------Link / NHL Link
Pyotr KochetkovLynx (QUE)G261999-06-25RUSNo193 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Tim WasheLynx (QUE)C242001-08-25USANo215 Lbs6 ft3NoNoFree AgentNoNo12025-08-24FalseFalsePro & Farm500,000$50,000$0$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1625.19200 Lbs6 ft21.31565,625$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kirby Dach40014
2Alex TurcotteJacob Melanson35023
3Juha JaaskaJacob GaucherChase Bradley20113
4Chase BradleyJacob Quillan5032
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
235122
3Ian Moore25122
40122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kirby Dach60005
2Juha JaaskaAlex TurcotteJacob Melanson40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160014
240014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160041
2Kirby DachAlex Turcotte40041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160140
240140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16014060140
2Kirby Dach4014040140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
153023
2Kirby DachAlex Turcotte47023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160032
240032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Kirby Dach
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Kirby Dach
Extra Forwards
Normal PowerPlayPenalty Kill
Juha Jaaska, Jacob Melanson, Jacob GaucherJuha Jaaska, Jacob MelansonJuha Jaaska
Extra Defensemen
Normal PowerPlayPenalty Kill
, , Ian Moore,
Penalty Shots
, , Kirby Dach, Alex Turcotte, Juha Jaaska
Goalie
#1 : , #2 : Joel Blomqvist


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
1Aces211000007611010000034-11100000042220.50071017001301001031057797824892444416226500.00%10100.00%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
2Admirals63200010342953200001019118312000001518-380.667345892001301001031024479782489244240688998337.50%40100.00%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
3Americiens650010003425932001000181443300000016115121.000346498001301001031027479782489244287671211014321.43%50100.00%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
4Barons21001000743110000004221000100032141.00071219001301001031059797824892445226222100.00%10100.00%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
5Barracuda21100000770110000004041010000037-420.500714210113010010310627978248924471222194125.00%10100.00%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
6Broncos421000011418-42110000059-42100000199050.6251424380013010010310119797824892441354314405360.00%6266.67%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
7Bruins6330000025241303000001117-633000000147760.50025497400130100103101687978248924417450187814642.86%9277.78%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
8Canucks2010100067-1100010005411010000013-220.500611170013010010310387978248924454216153266.67%30100.00%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
9Fighting Pandas615000002133-1230300000813-5312000001320-720.1672138590013010010310152797824892441985216788225.00%7185.71%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
10Firebirds42000011181172000001177022000000114770.8751832500013010010310105797824892441113285010550.00%4175.00%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
11Griffins303000001219-71010000046-220200000813-500.00012233500130100103101177978248924415546448600.00%2150.00%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
12Ice Bats211000001174110000005051010000067-120.500112132011301001031064797824892447122440100.00%2150.00%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
13Lions2110000078-1110000006331010000015-420.5007132000130100103106279782489244109214357114.29%20100.00%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
14Marlies624000001126-1531200000413-931200000713-640.3331121320013010010310124797824892442187725821400.00%10280.00%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
15Nordiks21100000121111010000069-31100000062420.50012213300130100103105279782489244892713266233.33%40100.00%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
16Quacken81402100323204120100017143402011001518-370.438325890011301001031026179782489244210721411017529.41%6266.67%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
17Roadrunners4110002014131200000207522110000078-160.750142236001301001031010679782489244132332549333.33%10100.00%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
18Rocket6600000037221533000000241311330000001394121.000376410100130100103102067978248924431682129015533.33%5340.00%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
19Tomahawks312000001112-120200000611-51100000051420.33311182900130100103109779782489244145438385360.00%40100.00%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
20Wombats404000001526-1120200000614-820200000912-300.0001526410013010010310116797824892442185218804125.00%7271.43%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
21Wranglers2110000079-2110000004311010000036-320.500712190013010010310557978248924485182344125.00%110.00%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
Total82343605142342349-741151803041173172141191802101169177-8890.5433426119530313010010310253879782489244311489019411741604628.75%851878.82%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
_Since Last GM Reset82343605142342349-741151803041173172141191802101169177-8890.5433426119530313010010310253879782489244311489019411741604628.75%851878.82%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
_Vs Conference52252001042223227-42691101041109116-726169000011141113620.596223398621001301001031016147978248924420295561337611013130.69%581377.59%01261253249.80%1457278052.41%790148653.16%1926136819975621035515
_Vs Division30171201000128130-21568010006570-5151140000063603360.600128236364001301001031092479782489244119332883438651624.62%36877.78%01261253249.80%1457278052.41%790148653.16%1926136819975621035515

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8289W134261195325383114890194117403
All Games
GPWLOTWOTL SOWSOLGFGA
8234365142342349
Home Games
GPWLOTWOTL SOWSOLGFGA
4115183041173172
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4119182101169177
Last 10 Games
WLOTWOTL SOWSOL
421111
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1604628.75%851878.82%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7978248924413010010310
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1261253249.80%1457278052.41%790148653.16%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1926136819975621035515


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
11Lynx2Quacken4LBoxScore
312Lynx6Admirals5WBoxScore
622Quacken5Lynx4LBoxScore
832Lynx1Quacken2LBoxScore
1044Admirals2Lynx7WBoxScore
1256Marlies2Lynx3WBoxScore
1677Quacken0Lynx7WBoxScore
1888Lynx7Americiens5WBoxScore
2098Lynx3Fighting Pandas7LBoxScore
21104Americiens5Lynx6WXBoxScore
24114Lynx6Bruins2WBoxScore
26125Fighting Pandas2Lynx1LBoxScore
27128Lynx4Marlies3WBoxScore
30143Lynx7Rocket5WBoxScore
31151Bruins6Lynx4LBoxScore
34165Rocket2Lynx9WBoxScore
39185Barons2Lynx4WBoxScore
43202Nordiks9Lynx6LBoxScore
45214Lynx1Canucks3LBoxScore
47220Lynx1Lions5LBoxScore
48229Griffins6Lynx4LBoxScore
50242Lynx6Nordiks2WBoxScore
52252Lions3Lynx6WBoxScore
54267Lynx5Bruins3WBoxScore
56276Canucks4Lynx5WXBoxScore
58287Lynx5Americiens3WBoxScore
59295Ice Bats0Lynx5WBoxScore
62312Barracuda0Lynx4WBoxScore
65321Lynx1Roadrunners4LBoxScore
67333Lynx3Bruins2WBoxScore
69339Lynx5Tomahawks1WBoxScore
70346Wranglers3Lynx4WBoxScore
73362Quacken5Lynx1LBoxScore
76376Lynx4Americiens3WBoxScore
77384Aces4Lynx3LBoxScore
79397Lynx4Rocket3WBoxScore
81404Roadrunners1Lynx2WXXBoxScore
84420Lynx2Rocket1WBoxScore
85427Marlies8Lynx1LBoxScore
89446Firebirds3Lynx2LXXBoxScore
93465Roadrunners4Lynx5WXXBoxScore
97483Lynx4Firebirds3WBoxScore
98489Tomahawks5Lynx2LBoxScore
101503Lynx3Barons2WXBoxScore
102512Fighting Pandas5Lynx3LBoxScore
105526Lynx2Marlies4LBoxScore
106532Quacken4Lynx5WXBoxScore
108546Lynx4Griffins6LBoxScore
110554Firebirds4Lynx5WXXBoxScore
112568Lynx6Roadrunners4WBoxScore
114578Tomahawks6Lynx4LBoxScore
117591Lynx4Aces2WBoxScore
119599Bruins5Lynx2LBoxScore
121614Lynx7Firebirds1WBoxScore
122621Fighting Pandas6Lynx4LBoxScore
124632Lynx3Fighting Pandas7LBoxScore
126640Lynx4Wombats5LBoxScore
127647Bruins6Lynx5LBoxScore
131664Marlies3Lynx0LBoxScore
132674Lynx4Griffins7LBoxScore
135685Wombats5Lynx4LBoxScore
138701Lynx1Marlies6LBoxScore
139709Wombats9Lynx2LBoxScore
143727Lynx4Admirals6LBoxScore
144731Broncos2Lynx4WBoxScore
147750Broncos7Lynx1LBoxScore
148751Lynx5Wombats7LBoxScore
149760Lynx3Barracuda7LBoxScore
152776Lynx5Admirals7LBoxScore
153779Rocket4Lynx6WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
156795Rocket7Lynx9WBoxScore
158804Lynx7Fighting Pandas6WBoxScore
160816Lynx4Broncos3WBoxScore
162822Americiens5Lynx7WBoxScore
165838Lynx6Quacken5WXBoxScore
166841Lynx3Wranglers6LBoxScore
167847Admirals5Lynx6WXXBoxScore
170859Lynx5Broncos6LXXBoxScore
172871Admirals4Lynx6WBoxScore
175883Lynx6Quacken7LXBoxScore
176885Lynx6Ice Bats7LBoxScore
179902Americiens4Lynx5WBoxScore



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
0 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,437,509$ 905,000$ 905,000$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
905,000$ 937,501$ 16 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 7,806$ 0$




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