LynxLansing Lynx
29-27-13, 71pts · 11th in World Conference
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Tomas Tatar (A)0LW96.00754387856574988134808262556971797577292,750,000$/2yrs
Jason Spezza0C/RW100.00595288707965947793706059708791657573361,875,000$/1yrs
Nigel Dawes (R)0LW/RW100.0048429377668695847167705481808074757334450,000$/1yrs
Richard Panik0LW/RW100.0083458381757491763370717245676874757328875,000$/1yrs
Linus Videll0C/LW/RW100.0058579072828089797362715983808075757234450,000$/1yrs
Kyle Turris0C100.00635382827172777384746454717476677572301,500,000$/1yrs
Ladislav Nagy (A)0LW/RW100.0052478375688088796358745589959574757240450,000$/1yrs
Jared McCann0C/LW100.0075548778736890657366757475636374757223832,500$/1yrs
Danton Heinen0LW/RW100.0069429280696796683075666025606170756924675,000$/1yrs
Curtis Lazar0C/LW/RW100.0076748172747477658059647061646567756924950,000$/1yrs
Sam Steel (R)0C100.0063418877647080708168786725464673756921875,000$/1yrs
Jordie Benn0D100.0080548574747696602556488845697065757332900,000$/1yrs
Erik Cernak (R)0D98.0099697273777886602555508525585866757322697,500$/3yrs
Jakob Chychrun0D100.0079458481798169812563506725616165757221925,000$/3yrs
Korbinian Holzer0D100.0093478868796953602552489025595964757031500,000$/1yrs
Andrej Sekera (C)0D100.00694391797370556525534776257980617569331,375,000$/1yrs
Travis Dermott (R)0D100.0081458979777267622555486725515261756723863,333$/3yrs
Victor Mete (R)0D100.0061419781657581602554477625575762756721550,000$/1yrs
Scratches
TEAM AVERAGE99.67715087777374827049636269496869697571
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 # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Jaroslav Halak0100.0087777664967875868887817173847582342,375,000$/1yrs
Adam Reideborn0100.008679737269687070696969606074757024450,000$/1yrs
Scratches
TEAM AVERAGE100.0087787568837373787978756667797576
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Craig Berube66917888706176CAN492925,000$
General Manager
Michael Koval
Player Stats
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 Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Tomas TatarLynxLynx0LW692940692140882498215511.65%4420.011017270331943230.22%1397422001.00213
2Nigel DawesLynxLynx0LW/RW69282553-520702719417010.33%1518.715510202863149.38%814523000.8204
3Richard PanikLynxLynx0LW/RW69142236420087168561118.33%2616.114610000681130.43%922816000.6516
4Ladislav NagyLynxLynx0LW/RW671618340240541516811510.60%1215.22246000111357.63%593916000.6703
5Jared McCannLynxLynx0C/LW69101222-112094163511096.13%2012.81000011201247.96%3193016000.5001
6Linus VidellLynxLynx0C/LW/RW5496150405811442827.89%1913.93000000511146.90%113216000.4000
7Erik CernakLynxLynx0D6911415072201117128381.41%9721.00112000140010.00%0554000.2100
8Danton HeinenLynxLynx0LW/RW5231114-1000277623533.95%169.4900000021130.77%261212000.5700
9Jason SpezzaLynxLynx0C/RW265611-8100316111328.20%917.96246000290264.17%12079000.4712
10Jakob ChychrunLynxLynx0D69011114300747130240.00%6419.92022000135000.00%01626000.1600
11Korbinian HolzerLynxLynx0D560995160514713160.00%4114.1900000079000.00%0227000.2300
12Kyle TurrisLynxLynx0C26549240226111348.20%711.95000000222139.66%17992000.5800
13Jordie BennLynxLynx0D7118911300995828201.72%8017.66000000107000.00%0940100.1400
14Sam SteelLynxLynx0C51437-1360326724425.97%179.28000101131143.87%326169000.3000
15Curtis LazarLynxLynx0C/LW/RW47145-4140555817321.72%1511.83000011270053.85%261311000.1800
16Travis DermottLynxLynx0D53145-10803721694.76%3012.9300001162000.00%0227000.1500
17Andrej SekeraLynxLynx0D20123-1408151046.67%1213.990000004010.00%019000.2111
18Victor MeteLynxLynx0D1401110056030.00%1113.8700000017000.00%006000.1000
Team Total or Average951128200328-23270201003172859410497.41%53515.532439638983691074141744.80%1480329331100.44530
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
1Jaroslav HalakLynxLynx592618130.9202.563516401501876924320.667485712664
2Adam ReidebornLynxLynx57262470.9102.873404601631809998320.707415713784
Team Total or Average1165242200.9152.71692010031336851922640.685891142513148
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1LynxRevolution33000000126661.00012223400363011331414108118236411218.18%9277.78%0829163250.80%798162349.17%514100950.94%65365727562771.4%10.6%92.6%103.2LUCKY
2LynxFreeze2100000154130.7505813003110652020246591812508337.50%6183.33%0829163250.80%798162349.17%514100950.94%39194421412040.0%7.7%93.2%100.9DULL
3LynxWolves31200000610-420.33369150023101003937240103342069200.00%10460.00%0829163250.80%798162349.17%514100950.94%57327028512450.0%6.0%90.3%96.3Unlucky
4LynxThunder2100001042241.000448000302722528149491512437114.29%60100.00%0829163250.80%798162349.17%514100950.94%40214320411960.0%5.6%95.9%101.5DULL
5LynxMounties2100000176130.750710170021415712202556526194510220.00%7185.71%0829163250.80%798162349.17%514100950.94%38184720391950.0%12.3%90.8%103.0FUN
6LynxHellcats502000211418-450.50014213510453417247764218170573410320525.00%17194.12%0829163250.80%798162349.17%514100950.94%1065911648924434.6%8.1%89.4%97.6Unlucky
7LynxMavericks2010000135-210.25035800021160202713462301643300.00%80100.00%0829163250.80%798162349.17%514100950.94%40214519381937.5%5.0%91.9%96.9DULL
8LynxMustangs3120000068-220.33368140020408225302701033118546116.67%90100.00%1829163250.80%798162349.17%514100950.94%56286930542638.5%7.3%92.2%99.6DULL
9LynxStompers1100000043121.000461000130038141590351181722100.00%40100.00%0829163250.80%798162349.17%514100950.94%211322816740.0%10.5%91.4%102.0LUCKY
10LynxTrappers1100000041321.00047110002203913206040711253133.33%3166.67%0829163250.80%798162349.17%514100950.94%2212219168100.0%10.3%97.5%107.8LUCKY
11LynxBraves1100000053221.0005813002210289118030158222150.00%4175.00%0829163250.80%798162349.17%514100950.94%191020919866.7%17.9%90.0%107.9FUN
12LynxBisons33000000116561.00011193000074013048463609033217213323.08%80100.00%0829163250.80%798162349.17%514100950.94%69435926502557.1%8.5%93.3%101.8DULL
13LynxRock2010000169-310.25061016002220611424224822521547228.57%8450.00%0829163250.80%798162349.17%514100950.94%41234617361844.4%9.8%89.0%98.9FUN
14LynxGreat Whites1100000032121.00035800021029812902854185120.00%20100.00%0829163250.80%798162349.17%514100950.94%188211019950.0%10.3%92.9%103.2LUCKY
15LynxMeteors2010000146-210.250481200121181262033653221345600.00%4175.00%0829163250.80%798162349.17%514100950.94%46263917381944.4%4.9%88.7%93.6Unlucky
16LynxJaguars2110000045-120.50047110012106213351405515837500.00%40100.00%0829163250.80%798162349.17%514100950.94%44253918361844.4%6.5%90.9%97.4Unlucky
17LynxSlapshots522000011715250.5001729460064701685748634164465310811327.27%19289.47%1829163250.80%798162349.17%514100950.94%1005511148924351.9%10.1%90.9%101.0FUN
18LynxDragons30100101914-520.3339142300225011141214931024014808225.00%7271.43%0829163250.80%798162349.17%514100950.94%66386428572836.8%8.1%86.3%94.4Unlucky
19LynxKnights2100100086241.0008142200061167213781761920384125.00%10280.00%0829163250.80%798162349.17%514100950.94%38224819341563.6%11.9%92.1%104.0LUCKY
20LynxCrusaders41201000912-340.500913220015211434535603123452510011218.18%10280.00%1829163250.80%798162349.17%514100950.94%86488636703541.2%6.3%90.2%96.5Unlucky
21LynxButchers30300000615-900.00061117002310892241260853634635240.00%17570.59%1829163250.80%798162349.17%514100950.94%57306728542528.6%6.7%82.4%89.1Unlucky
22LynxAverage Joes50300101916-720.200915240016201795856653200504310013323.08%19384.21%1829163250.80%798162349.17%514100950.94%1035811645864231.6%5.0%92.0%97.0DULL
23LynxBlack Frost31200000710-320.333712191033108829362307637166110110.00%8362.50%0829163250.80%798162349.17%514100950.94%61336029582846.2%8.0%86.8%94.8Unlucky
24LynxHitmen2020000047-300.000471100121069192525089221436100.00%7271.43%0829163250.80%798162349.17%514100950.94%37224917321544.4%5.8%92.1%97.9DULL
25LynxRink Rats521010011211170.7001220320042511614958507173733410018316.67%17288.24%0829163250.80%798162349.17%514100950.94%995411849874150.0%7.5%93.6%101.1DULL
26LynxTitans2010010026-410.25022400020058181822066171641500.00%8450.00%0829163250.80%798162349.17%514100950.94%38204519361750.0%3.4%90.9%94.4Unlucky
_Vs Division25610021246474-10250.5006410316710162420685226428528935858276193529781721.79%841088.10%3829163250.80%798162349.17%514100950.94%51428557023845021742.3%7.5%91.4%98.9DULL
_Vs Conference44161702225119129-10470.53411919431320284740615154905164953814534763169541312720.61%1382284.06%4829163250.80%798162349.17%514100950.94%91351197341979638646.2%7.9%91.1%99.0Unlucky
_Since Last GM Reset692327033310181206-25710.5141812944752043785412232272383773873225974751714881964120.92%2314381.39%5829163250.80%798162349.17%514100950.94%14197871533659126361246.2%7.8%90.9%98.7Unlucky
Total692327033310181206-25710.5141812944752043785412232272383773873225974751714881964120.92%2314381.39%5829163250.80%798162349.17%514100950.94%14197871533659126361246.2%7.8%90.9%98.7Unlucky

Puck Time
Offensive Zone 20
Neutral Zone 18
Defensive Zone 22
Puck Time
Offensive Zone Start 1632
Neutral Zone Start 1009
Defensive Zone Start 1623
Puck Time
With Puck 29
Without Puck 31
Faceoffs
Faceoffs Won 2141
Faceoffs Lost 2123
Team Average Shots after League Average Shots after
1st Period 10.59.57
2nd Period 22.620.31
3rd Period 33.330.68
Overtime 34.431.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.60.64
2nd Period 1.81.65
3rd Period 2.52.67
Overtime 2.72.83
Even Strenght Goal 133
PP Goal 41
PK Goal 5
Empty Net Goal 2
Home Away
Win 1217
Lost 1710
Overtime Lost 76
PP Attempt 196
PP Goal 41
PK Attempt 231
PK Goal Against 43
Home
Shots For 33.7
Shots Against 32.7
Goals For 2.6
Goals Against 3.0
Hits 21.6
Shots Blocked 10.8
Pim 7.5
Cap Hit
Lynx
Projected Total Cap Hit37,513,090$
Projected Cap Space33,486,910$
Retains And Buyout Cap Hit1,568,181$
Salary Cap To Date30,847,979$
Players Signed48 of 50
LTIR Players1
Lynx Roster Pos Age Base
Salary
Cap Hit
Remaining
Season
38
Season
39
Season
40
Season
41
Season
42
Season
43
Season
44
Season
45
Adam Reideborn G24450,000$62,727$450,000$ RFA
Andrej SekeraD331,375,000$191,666$1,375,000$ UFA
Curtis Lazar C/LW/RW24950,000$132,424$950,000$ RFA
Danton Heinen LW/RW24675,000$94,090$675,000$ RFA
Erik CernakD22697,500$97,227$697,500$ 697,500$ 697,500$ RFA
Jakob ChychrunD21925,000$128,939$925,000$ 925,000$ 925,000$ RFA
Jared McCannC/LW23832,500$116,045$832,500$ RFA
Jaroslav HalakG342,375,000$331,060$2,375,000$ UFA
Jason SpezzaC/RW361,875,000$261,363$1,875,000$ UFA
Jordie BennD32900,000$125,454$900,000$ UFA
Korbinian Holzer D31500,000$69,696$500,000$ UFA
Kyle TurrisC301,500,000$209,090$1,500,000$ UFA
Ladislav NagyLW/RW40450,000$62,727$450,000$ UFA
Linus Videll C/LW/RW34450,000$62,727$450,000$ UFA
Nigel DawesLW/RW34450,000$62,727$450,000$ UFA
Richard PanikLW/RW28875,000$121,969$875,000$ UFA
Sam Steel C21875,000$121,969$875,000$ RFA
Tomas TatarLW292,750,000$383,333$2,750,000$ 2,750,000$ UFA
Travis Dermott D23863,333$120,343$863,333$ 863,333$ 863,333$ RFA
Victor Mete D21550,000$76,666$550,000$ RFA
Farm Roster Pos Age Base
Salary
Cap Hit
Remaining
Season
38
Season
39
Season
40
Season
41
Season
42
Season
43
Season
44
Season
45
Adam Huska G22925,000$14,778$92,500$ 92,500$ RFA
Adam Mascherin LW21725,000$11,583$72,500$ RFA
Adam Ruzicka C/LW/RW20550,000$8,787$55,000$ 55,000$ RFA
Beck Malenstyn LW21475,000$7,589$47,500$ RFA
Cam Dineen D21625,000$9,985$62,500$ RFA
Chase Pearson C22450,000$7,189$45,000$ RFA
Christian Jaros D23755,000$12,062$75,500$ RFA
Colton Point G21500,000$7,988$50,000$ RFA
Deven Sideroff RW22728,333$11,636$72,833$ RFA
Ethan Bear D22720,000$11,503$72,000$ 72,000$ 72,000$ RFA
Isaac Ratcliffe LW20875,000$13,979$87,500$ 87,500$ RFA
Jacob Bryson D22550,000$8,787$55,000$ 55,000$ RFA
Jeremy Roy D22827,500$13,220$82,750$ RFA
Jordan Kyrou C/RW21725,000$11,583$72,500$ RFA
Justin Kirkland LW23717,500$11,463$71,750$ 71,750$ RFA
Marian Studenic RW21500,000$7,988$50,000$ 50,000$ RFA
Marko Dano LW/RW25850,000$13,580$85,000$ RFA
Markus Nutivaara D25575,000$9,186$57,500$ 57,500$ UFA
Matthew Strome LW20550,000$8,787$55,000$ 55,000$ RFA
Mitch Vande Sompel D22728,333$11,636$72,833$ RFA
Morgan Barron C21450,000$7,189$45,000$ 45,000$ RFA
Morgan Frost C20875,000$13,979$87,500$ 87,500$ RFA
Olli Juolevi D21875,000$13,979$87,500$ RFA
Scott Harrington D26675,000$10,784$67,500$ 67,500$ 67,500$ UFA
Shane Bowers C20725,000$11,583$72,500$ 72,500$ RFA
Skyler Brind'Amour C20475,000$7,589$47,500$ 47,500$ RFA
Tomas Tomek G31450,000$7,189$45,000$ UFA
Will Bitten C/RW21625,000$9,985$62,500$ RFA

Lines
Forward Lines


Tomas Tatar


Jason Spezza


Nigel Dawes


Richard Panik


Linus Videll


Ladislav Nagy


Jared McCann


Kyle Turris


Danton Heinen


Tomas Tatar


Sam Steel


Curtis Lazar

Defensive Pairings


Erik Cernak


Jordie Benn


Jakob Chychrun


Korbinian Holzer


Andrej Sekera


Victor Mete

1st Power Play Unit


Tomas Tatar


Jason Spezza


Nigel Dawes


Erik Cernak


Jordie Benn

2nd Power Play Unit


Richard Panik


Linus Videll


Ladislav Nagy


Jakob Chychrun


Korbinian Holzer

Goalies


Jaroslav Halak


Adam Reideborn

Team Stats
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1LynxRevolution33000000126661.00012223400363011331414108118236411218.18%9277.78%0829163250.80%798162349.17%514100950.94%65365727562771.4%10.6%92.6%103.2LUCKY
2LynxFreeze2100000154130.7505813003110652020246591812508337.50%6183.33%0829163250.80%798162349.17%514100950.94%39194421412040.0%7.7%93.2%100.9DULL
3LynxWolves31200000610-420.33369150023101003937240103342069200.00%10460.00%0829163250.80%798162349.17%514100950.94%57327028512450.0%6.0%90.3%96.3Unlucky
4LynxThunder2100001042241.000448000302722528149491512437114.29%60100.00%0829163250.80%798162349.17%514100950.94%40214320411960.0%5.6%95.9%101.5DULL
5LynxMounties2100000176130.750710170021415712202556526194510220.00%7185.71%0829163250.80%798162349.17%514100950.94%38184720391950.0%12.3%90.8%103.0FUN
6LynxHellcats502000211418-450.50014213510453417247764218170573410320525.00%17194.12%0829163250.80%798162349.17%514100950.94%1065911648924434.6%8.1%89.4%97.6Unlucky
7LynxMavericks2010000135-210.25035800021160202713462301643300.00%80100.00%0829163250.80%798162349.17%514100950.94%40214519381937.5%5.0%91.9%96.9DULL
8LynxMustangs3120000068-220.33368140020408225302701033118546116.67%90100.00%1829163250.80%798162349.17%514100950.94%56286930542638.5%7.3%92.2%99.6DULL
9LynxStompers1100000043121.000461000130038141590351181722100.00%40100.00%0829163250.80%798162349.17%514100950.94%211322816740.0%10.5%91.4%102.0LUCKY
10LynxTrappers1100000041321.00047110002203913206040711253133.33%3166.67%0829163250.80%798162349.17%514100950.94%2212219168100.0%10.3%97.5%107.8LUCKY
11LynxBraves1100000053221.0005813002210289118030158222150.00%4175.00%0829163250.80%798162349.17%514100950.94%191020919866.7%17.9%90.0%107.9FUN
12LynxBisons33000000116561.00011193000074013048463609033217213323.08%80100.00%0829163250.80%798162349.17%514100950.94%69435926502557.1%8.5%93.3%101.8DULL
13LynxRock2010000169-310.25061016002220611424224822521547228.57%8450.00%0829163250.80%798162349.17%514100950.94%41234617361844.4%9.8%89.0%98.9FUN
14LynxGreat Whites1100000032121.00035800021029812902854185120.00%20100.00%0829163250.80%798162349.17%514100950.94%188211019950.0%10.3%92.9%103.2LUCKY
15LynxMeteors2010000146-210.250481200121181262033653221345600.00%4175.00%0829163250.80%798162349.17%514100950.94%46263917381944.4%4.9%88.7%93.6Unlucky
16LynxJaguars2110000045-120.50047110012106213351405515837500.00%40100.00%0829163250.80%798162349.17%514100950.94%44253918361844.4%6.5%90.9%97.4Unlucky
17LynxSlapshots522000011715250.5001729460064701685748634164465310811327.27%19289.47%1829163250.80%798162349.17%514100950.94%1005511148924351.9%10.1%90.9%101.0FUN
18LynxDragons30100101914-520.3339142300225011141214931024014808225.00%7271.43%0829163250.80%798162349.17%514100950.94%66386428572836.8%8.1%86.3%94.4Unlucky
19LynxKnights2100100086241.0008142200061167213781761920384125.00%10280.00%0829163250.80%798162349.17%514100950.94%38224819341563.6%11.9%92.1%104.0LUCKY
20LynxCrusaders41201000912-340.500913220015211434535603123452510011218.18%10280.00%1829163250.80%798162349.17%514100950.94%86488636703541.2%6.3%90.2%96.5Unlucky
21LynxButchers30300000615-900.00061117002310892241260853634635240.00%17570.59%1829163250.80%798162349.17%514100950.94%57306728542528.6%6.7%82.4%89.1Unlucky
22LynxAverage Joes50300101916-720.200915240016201795856653200504310013323.08%19384.21%1829163250.80%798162349.17%514100950.94%1035811645864231.6%5.0%92.0%97.0DULL
23LynxBlack Frost31200000710-320.333712191033108829362307637166110110.00%8362.50%0829163250.80%798162349.17%514100950.94%61336029582846.2%8.0%86.8%94.8Unlucky
24LynxHitmen2020000047-300.000471100121069192525089221436100.00%7271.43%0829163250.80%798162349.17%514100950.94%37224917321544.4%5.8%92.1%97.9DULL
25LynxRink Rats521010011211170.7001220320042511614958507173733410018316.67%17288.24%0829163250.80%798162349.17%514100950.94%995411849874150.0%7.5%93.6%101.1DULL
26LynxTitans2010010026-410.25022400020058181822066171641500.00%8450.00%0829163250.80%798162349.17%514100950.94%38204519361750.0%3.4%90.9%94.4Unlucky
_Vs Division25610021246474-10250.5006410316710162420685226428528935858276193529781721.79%841088.10%3829163250.80%798162349.17%514100950.94%51428557023845021742.3%7.5%91.4%98.9DULL
_Vs Conference44161702225119129-10470.53411919431320284740615154905164953814534763169541312720.61%1382284.06%4829163250.80%798162349.17%514100950.94%91351197341979638646.2%7.9%91.1%99.0Unlucky
_Since Last GM Reset692327033310181206-25710.5141812944752043785412232272383773873225974751714881964120.92%2314381.39%5829163250.80%798162349.17%514100950.94%14197871533659126361246.2%7.8%90.9%98.7Unlucky
Total692327033310181206-25710.5141812944752043785412232272383773873225974751714881964120.92%2314381.39%5829163250.80%798162349.17%514100950.94%14197871533659126361246.2%7.8%90.9%98.7Unlucky

Puck Time
Offensive Zone 20
Neutral Zone 18
Defensive Zone 22
Puck Time
Offensive Zone Start 1632
Neutral Zone Start 1009
Defensive Zone Start 1623
Puck Time
With Puck 29
Without Puck 31
Faceoffs
Faceoffs Won 2141
Faceoffs Lost 2123
Team Average Shots after League Average Shots after
1st Period 10.59.57
2nd Period 22.620.31
3rd Period 33.330.68
Overtime 34.431.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.60.64
2nd Period 1.81.65
3rd Period 2.52.67
Overtime 2.72.83
Even Strenght Goal 133
PP Goal 41
PK Goal 5
Empty Net Goal 2
Home Away
Win 1217
Lost 1710
Overtime Lost 76
PP Attempt 196
PP Goal 41
PK Attempt 231
PK Goal Against 43
Home
Shots For 33.7
Shots Against 32.7
Goals For 2.6
Goals Against 3.0
Hits 21.6
Shots Blocked 10.8
Pim 7.5
Schedule
DateMatchup Result Detail
Fri, Feb 21LynxLYN@LynxHELLYN2,HEL4RECAP
Sun, Feb 23LynxLYN@LynxBISLYN3,BIS1RECAP
Mon, Feb 24LynxAVG@LynxLYNAVG3,LYN2RECAP
Wed, Feb 26LynxLYN@LynxGWSLYN3,GWS2RECAP
Thu, Feb 27LynxHEL@LynxLYNHEL3,LYN2 (SO)RECAP
Sun, Mar 1LynxSLA@LynxLYNSLA3,LYN2RECAP
Tue, Mar 3LynxLYN@LynxRINLYN3,RIN2RECAP
Thu, Mar 5LynxLYN@LynxREVLYN4,REV2RECAP
Sat, Mar 7LynxMUS@LynxLYNMUS1,LYN3RECAP
Sun, Mar 8LynxRIN@LynxLYNRIN3,LYN2 (SO)RECAP
Thu, Mar 12LynxLYN@LynxHELLYN3,HEL2 (SO)RECAP
Fri, Mar 13LynxBFT@LynxLYNBFT3,LYN4RECAP
Sat, Mar 14LynxLYN@LynxCRULYN2,CRU5RECAP
Mon, Mar 16LynxBUT@LynxLYNBUT6,LYN3RECAP
Thu, Mar 19LynxAVG@LynxLYNAVG4,LYN2RECAP
Fri, Mar 20LynxLYN@LynxSLALYN2,SLA3RECAP
Sun, Mar 22LynxRIN@LynxLYNRIN2,LYN3RECAP
Thu, Mar 26LynxJAG@LynxLYNJAG4,LYN2RECAP
Sun, Mar 29LynxMUS@LynxLYNMUS4,LYN2RECAP
Tue, Mar 31LynxLYN@LynxFRELYN4,FRE2RECAP
Wed, Apr 1LynxLYN@LynxMUSLYN1,MUS3RECAP
Thu, Apr 2LynxDRA@LynxLYNDRA6,LYN3RECAP
Mon, Apr 6LynxSLA@LynxLYNSLA3,LYN4RECAP
Wed, Apr 8LynxLYN@LynxMAVLYN1,MAV2 (SO)RECAP
Fri, Apr 10LynxBRA@LynxLYNBRA3,LYN5RECAP
Sat, Apr 11LynxLYN@LynxTHULYN2,THU1 (SO)RECAP
Tue, Apr 14LynxLYN@LynxHITLYN2,HIT4RECAP
Thu, Apr 16LynxHEL@LynxLYNHEL4,LYN1RECAP
Sat, Apr 18LynxLYN@LynxTITLYN1,TIT2 (OT)RECAP
Sun, Apr 19LynxREV@LynxLYNREV1,LYN4RECAP
Tue, Apr 21LynxLYN@LynxREVLYN4,REV3RECAP
Fri, Apr 24LynxDRA@LynxLYNDRA4,LYN3 (SO)RECAP
Sun, Apr 26LynxLYN@LynxSLALYN6,SLA2RECAP
Tue, Apr 28LynxROC@LynxLYNROC6,LYN4RECAP
Thu, Apr 30LynxLYN@LynxRINLYN1,RIN2RECAP
Fri, May 1LynxBUT@LynxLYNBUT6,LYN2RECAP
Sun, May 3LynxLYN@LynxBUTLYN1,BUT3RECAP
Wed, May 6LynxMAV@LynxLYNMAV3,LYN2RECAP
Sat, May 9LynxLYN@LynxDRALYN3,DRA4 (OT)RECAP
Mon, May 11LynxAVG@LynxLYNAVG4,LYN2RECAP
Wed, May 13LynxFRE@LynxLYNFRE2,LYN1 (SO)RECAP
Thu, May 14LynxLYN@LynxMOULYN4,MOU2RECAP
Mon, May 18LynxBFT@LynxLYNBFT3,LYN1RECAP
Fri, May 22LynxLYN@LynxJAGLYN2,JAG1RECAP
Sat, May 23LynxTHU@LynxLYNTHU1,LYN2RECAP
Tue, May 26LynxSTO@LynxLYNSTO3,LYN4RECAP
Wed, May 27LynxLYN@LynxHELLYN6,HEL5 (SO)RECAP
Fri, May 29LynxKNI@LynxLYNKNI4,LYN5 (OT)RECAP
Trade Deadline --- Trades can�t be done after this day is simulated!
Sun, May 31LynxLYN@LynxRINLYN3,RIN2 (OT)RECAP
Wed, Jun 3LynxWOL@LynxLYNWOL4,LYN2RECAP
Fri, Jun 5LynxLYN@LynxCRULYN3,CRU2RECAP
Sat, Jun 6LynxLYN@LynxROCLYN2,ROC3 (SO)RECAP
Sun, Jun 7LynxCRU@LynxLYNCRU3,LYN1RECAP
Tue, Jun 9LynxLYN@LynxAVGLYN2,AVG3 (SO)RECAP
Wed, Jun 10LynxTIT@LynxLYNTIT4,LYN1RECAP
Sat, Jun 13LynxLYN@LynxBFTLYN2,BFT4RECAP
Mon, Jun 15LynxCRU@LynxLYNCRU2,LYN3 (OT)RECAP
Wed, Jun 17LynxLYN@LynxAVGLYN1,AVG2 (OT)RECAP
Thu, Jun 18LynxLYN@LynxBISLYN2,BIS1RECAP
Fri, Jun 19LynxTRA@LynxLYNTRA1,LYN4RECAP
Mon, Jun 22LynxMET@LynxLYNMET2,LYN1 (SO)RECAP
Tue, Jun 23LynxLYN@LynxWOLLYN2,WOL5RECAP
Fri, Jun 26LynxLYN@LynxBISLYN6,BIS4RECAP
Sat, Jun 27LynxHIT@LynxLYNHIT3,LYN2RECAP
Mon, Jun 29LynxWOL@LynxLYNWOL1,LYN2RECAP
Tue, Jun 30LynxLYN@LynxKNILYN3,KNI2RECAP
Sat, Jul 4LynxSLA@LynxLYNSLA4,LYN3 (SO)RECAP
Fri, Jul 10LynxMOU@LynxLYNMOU4,LYN3 (SO)RECAP
Sat, Jul 11LynxLYN@LynxMETLYN3,MET4RECAP
Mon, Jul 13LynxGWS@LynxLYN
Thu, Jul 16LynxLYN@LynxSTO
Fri, Jul 17LynxGRI@LynxLYN
Sun, Jul 19LynxLYN@LynxGRI
Tue, Jul 21LynxBIS@LynxLYN
Thu, Jul 23LynxLYN@LynxCRU
Sat, Jul 25LynxBIS@LynxLYN
Mon, Jul 27LynxLYN@LynxBRA
Tue, Jul 28LynxLYN@LynxGWS
Wed, Jul 29LynxLYN@LynxTRA
Thu, Jul 30LynxGWS@LynxLYN
Sat, Aug 1LynxLYN@LynxGWS
Sun, Aug 2LynxLYN@LynxTRA

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
20,318,333$ 1,568,181$ 37,513,090$ 33,486,910$

ArenaGoal HornAbout us
Name
CityLansing
Capacity18000
Season Ticket Holders40%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000200040001000
Ticket Price100$60$35$20$200$
Attendance1665841403755609211224728260
Attendance PCT77.12%77.99%77.91%77.95%78.50%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
5 13988 - 77.71% 970,585$34,941,060$18000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
20,318,333$ 20,318,333$ 0$ 1,568,181$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
30,984,337$ 126,020$ 30,847,979$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
4,852,925$ 23 128,747$ 2,961,181$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
3,328,651$ 37,513,090$ 75,286,221$ 77,159,094$
Depth Chart Star Superstar Rookie Injured Cold Streak Hot Streak
Left WingCenterRight Wing
Tomas TatarOV: 7729 yrsLynxSVK
Nigel DawesOV: 7334 yrsLynxCAN
Richard PanikOV: 7328 yrsLynxCZE
Linus VidellOV: 7234 yrsLynxSWE
Ladislav NagyOV: 7240 yrsLynxSVK
Jared McCannOV: 7223 yrsLynxCAN
Danton HeinenOV: 6924 yrsLynxCAN
Curtis LazarOV: 6924 yrsLynxCAN
Adam MascherinOV: 6521 yrsLynxCAN
Marko DanoOV: 6325 yrsLynxAUS
Adam RuzickaOV: 6320 yrsLynxSLO
Matthew StromeOV: 6220 yrsLynxCAN
Isaac RatcliffeOV: 6120 yrsLynxCAN
Justin KirklandOV: 6023 yrsLynxCAN
Beck MalenstynOV: 5721 yrsLynxCAN
Jason SpezzaOV: 7336 yrsLynxCAN
Linus VidellOV: 7234 yrsLynxSWE
Kyle TurrisOV: 7230 yrsLynxCAN
Jared McCannOV: 7223 yrsLynxCAN
Curtis LazarOV: 6924 yrsLynxCAN
Sam SteelOV: 6921 yrsLynxCAN
Morgan FrostOV: 6520 yrsLynxCAN
Adam RuzickaOV: 6320 yrsLynxSLO
Will BittenOV: 6021 yrsLynxCAN
Jordan KyrouOV: 5921 yrsLynxCAN
Morgan BarronOV: 5821 yrsLynxCAN
Chase PearsonOV: 5522 yrsLynxUSA
Shane BowersOV: 5520 yrsLynxCAN
Skyler Brind'AmourOV: 5420 yrsLynxUSA
Jason SpezzaOV: 7336 yrsLynxCAN
Nigel DawesOV: 7334 yrsLynxCAN
Richard PanikOV: 7328 yrsLynxCZE
Linus VidellOV: 7234 yrsLynxSWE
Ladislav NagyOV: 7240 yrsLynxSVK
Danton HeinenOV: 6924 yrsLynxCAN
Curtis LazarOV: 6924 yrsLynxCAN
Marko DanoOV: 6325 yrsLynxAUS
Adam RuzickaOV: 6320 yrsLynxSLO
Will BittenOV: 6021 yrsLynxCAN
Marian StudenicOV: 6021 yrsLynxSVK
Jordan KyrouOV: 5921 yrsLynxCAN
Deven SideroffOV: 5722 yrsLynxCAN

Defense #1Defense #2Goalie
Jordie BennOV: 7332 yrsLynxCAN
Erik CernakOV: 7322 yrsLynxSVK
Jakob ChychrunOV: 7221 yrsLynxUSA
Korbinian HolzerOV: 7031 yrsLynxGER
Andrej SekeraOV: 6933 yrsLynxSVK
Travis DermottOV: 6723 yrsLynxCAN
Victor MeteOV: 6721 yrsLynxCAN
Markus NutivaaraOV: 6725 yrsLynxFIN
Scott HarringtonOV: 6726 yrsLynxCAN
Christian JarosOV: 6623 yrsLynxSVK
Ethan BearOV: 6322 yrsLynxCAN
Olli JuoleviOV: 6321 yrsLynxFIN
Mitch Vande SompelOV: 6022 yrsLynxCAN
Jacob BrysonOV: 6022 yrsLynxCAN
Jeremy RoyOV: 5822 yrsLynxCAN
Cam DineenOV: 5621 yrsLynxUSA
Jaroslav HalakOV: 8234 yrsLynxSVK
Adam ReidebornOV: 7024 yrsLynxSWE
Tomas TomekOV: 6631 yrsLynxSVK
Colton PointOV: 4921 yrsLynxCAN
Adam HuskaOV: 4922 yrsLynxSLO

Draft Picks
Year Round 1Round 2Round 3Round 4Round 5Round 6Round 7
2020
2021
2022
2023
2024

** Conditional draft pick that has been traded
Prospects
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Prospect Team NameDraft Year Overall Pick Information Lien
Blake MurrayLynxLynx2019170
Bowen ByramLynxLynx20194
David HrenakLynxLynx2018140
Ethan KeppenLynxLynx2019122
Greg MeirelesLynxLynx2019155
Hunter SkinnerLynxLynx2019114
Jacob InghamLynxLynx2018184
Jordan SpenceLynxLynx201989
Martin PospisilLynxLynx2018111
Matthew StienburgLynxLynx201958
Maxim CajkovicLynxLynx201986
Milos RomanLynxLynx2018127
Olof LindbomLynxLynx201826
Philip TomasinoLynxLynx201920
Roman DurnyLynxLynx2018155
Ryan McLeodLynxLynx201843
Ryan MerkleyLynxLynx201827
Ty SmithLynxLynx201819
Draft Picks
Year Round 1Round 2Round 3Round 4Round 5Round 6Round 7
2020
2021
2022
2023
2024

** Conditional Draft Pick That Have Been Traded
Prospects
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Prospect Team NameDraft Year Overall Pick Information Lien
Blake MurrayLynxLynx2019170
Bowen ByramLynxLynx20194
David HrenakLynxLynx2018140
Ethan KeppenLynxLynx2019122
Greg MeirelesLynxLynx2019155
Hunter SkinnerLynxLynx2019114
Jacob InghamLynxLynx2018184
Jordan SpenceLynxLynx201989
Martin PospisilLynxLynx2018111
Matthew StienburgLynxLynx201958
Maxim CajkovicLynxLynx201986
Milos RomanLynxLynx2018127
Olof LindbomLynxLynx201826
Philip TomasinoLynxLynx201920
Roman DurnyLynxLynx2018155
Ryan McLeodLynxLynx201843
Ryan MerkleyLynxLynx201827
Ty SmithLynxLynx201819
News



































Injuries
No Injury or Suspension.

Game Center

Mounties37-27-8, 82pts43Final
Lynx29-27-13, 71pts

Lynx29-27-13, 71pts34Final
Meteors31-30-10, 72pts

Great Whites32-30-10, 74ptsMon, Jul 13
Lynx29-27-13, 71pts

Lynx29-27-13, 71ptsThu, Jul 16
Stompers29-34-9, 67pts

Grinders39-25-5, 83ptsFri, Jul 17
Lynx29-27-13, 71pts

Team Leaders

GOALS
Tomas Tatar
29
ASSISTS
Tomas Tatar
40
POINTS
Tomas Tatar
69
PLUS/MINUS
Jordie Benn
11
WINS
Jaroslav Halak
26
SV%
Jaroslav Halak
0.92

Team Stats


Goals For
181
2.62 GFG
Shots For
2322
33.65 Avg
Power Play Percentage
20.9%
41 GF
Offensive Zone Start
50.1%
Goals Against
206
2.99 GAA
Shots Against
2259
32.74 Avg
Penalty Kill Percentage
81.4%
43 GA
Defensive Zone Start
49.9%
 

Team Info

Lynx
General ManagerMichael Koval
Head CoachCraig Berube
ConferenceWorld Conference
DivisionAtlantic

Lynx Affiliation

Lynx
Team NameShockers
CityHillsborough
Head CoachSheldon Keefe
DivisionLaFontaine

Arena Info

Stadium
Capacity18,000
Attendance13,988
Season Tickets7,200

Salary Cap

Total Cap Hit37,513,090$
Cap Hit Percentage52.84%
Projected Cap Space33,486,910$
Retains & Buyout1,568,181$

Team History

201929-27-13 (71PTS)
Record (W-L-OTL)629-524-140 (1398PTS)
Playoff Appearances9
Playoff Record (W-L)101-96
Stanley Cup0

Entry Draft