Manchots

GM : Guy Sanscartier Morale : 21 Team Overall : 47
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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 SP
1Michael BlundenXX100.00603559677653375135445857485349024540
2Craig CunninghamXXX100.00553591735655384554444668484136043530
3Anthony PelusoX100.00706164648449454535444658484138027520
4T.J. GaliardiXX100.00563593655950414035364467475043042500
5Turner ElsonXX100.00533595696657353735383569483532039490
6Kurtis GabrielX100.00685036647445353535353558483532046470
7Mitch Moroz (R)X100.00454545457245454545454545453230040460
8Zach Nastasiuk (R)XX100.00454545456345454545454545453230045450
9Dylan Sadowy (R)X100.00434343435643434343434343433230042440
10Mark OlverXX100.00327446494933483335333355474136022420
11Gemel Smith (R)XX100.00404040404640404040404040403230042410
12Scott TimminsX100.00408733336233453335333333473734023370
13Ryan StantonX100.00614378636460444835484769484138020560
14Ryan Wilson (C)X100.00633585596955354335473769475143034550
15Steve OleksyX100.00604362656150344635474367474237020540
16Ben Harpur (R)X100.00513585607650354035483265483532025520
17Alex GrantX100.00564364646850353135303272483532020520
18Alex Lintuniemi (R)X100.00454545457945454545454545453230020460
Scratches
1Pascal DupuisXX100.00573581667172475947536569458072027610
2Richard Nejezchleb (R)XX100.00373737377137373737373737373230020400
3Cameron Darcy (R)X100.00373737376437373737373737373230019390
4Joonas NattinenX100.00328535356633363335333335473532020370
5Brett BellemoreX100.00845680617759544335434376474036017590
6Joel Edmundson (R)X100.00805074636952494135414168483734038560
7Cody Corbett (R)X100.00454545456245454545454545453230020450
8Jerome Gauthier-Leduc (R)X100.00434343435443434343434343433230020430
9Cameron GaunceX100.00398535356933483335333335473734020390
TEAM AVERAGE100.0052485853664742413941415446393602948
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
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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 SP
1Niklas Treutle100.0045454568454545454565703532019470
2Allen York100.0046434769464043463736353532017440
Scratches
1Spencer Martin (R)100.0043434374434343434343433230017450
2Linus Soderstrom (R)100.0040404069404040404040403230017420
TEAM AVERAGE100.004443447044424344414647343101845
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Guy Boucher40404040716950CAN444500,000$


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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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 GP 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
1Craig CunninghamManchots (Pit)C/LW/RW82294877-18195522432410012.03%38165420.171326397628200073611052.99%165500000.93411001235
2Michael BlundenManchots (Pit)LW/RW76383876-88751451082460015.45%12132717.47101929582570003754146.06%16500021.1518000655
3Anthony PelusoManchots (Pit)RW81233255-1615840203831530015.03%9133316.46512173026600021041147.52%10100000.8249233125
4Ryan WilsonManchots (Pit)D73203050-32535121881270015.75%119161322.11141428852400002247310.00%000010.6200000342
5T.J. GaliardiManchots (Pit)C/LW82222547-25160151481920011.46%22128115.63336249400062233044.08%121600000.7301000251
6Ryan StantonManchots (Pit)D55122941-1546079671050011.43%70119721.7681018641890000172000.00%000000.6900000112
7Ben HarpurManchots (Pit)D6573239-262202967560012.50%99126719.5141115281580000223000.00%000100.6200000012
8Zach NastasiukManchots (Pit)C/RW82171734-34315122531070015.89%7128215.64411152324201131114050.93%32200000.5302003424
9Joel EdmundsonManchots (Pit)D6162430-18118201435779007.59%67117319.23459351070112173100.00%000000.5100101101
10Turner ElsonManchots (Pit)C/LW82111526-3011518125143007.69%26131116.00022168301183021146.82%34600000.4000010011
11Steve OleksyManchots (Pit)D3861622-203807642500012.00%4274419.6035834132000083010.00%000000.5900000010
12Kurtis GabrielManchots (Pit)RW8291120-311324025980133006.77%12109913.412572520011241232033.73%8300000.3612224101
13Alex GrantManchots (Pit)D5051419-1766107756330015.15%6389517.920226330000163000.00%000000.4200011012
14Alex LintuniemiManchots (Pit)D5981018-16101258712250032.00%24113419.24641014166101187000.00%000000.3200212000
15Mitch MorozManchots (Pit)LW8261218-355810603279007.59%3112413.7114581310001680246.67%7500000.3224002100
16Dylan SadowyManchots (Pit)LW827714-283404825590011.86%993211.372138133000092053.33%7500000.3000000011
17Gemel SmithManchots (Pit)C/LW824812-233607067340011.76%788810.841011120000140040.33%85800000.2700000001
18Cody CorbettManchots (Pit)D2918922605016100010.00%1950217.34022123000085000.00%000000.3600000000
19Mark OlverManchots (Pit)C/LW52257-83230162326007.69%757911.150004190001100033.61%23800000.2401204010
20Richard NejezchlebManchots (Pit)LW/RW38224-144096140014.29%13589.4300007000000058.82%1700000.2200000000
21Jerome Gauthier-LeducManchots (Pit)D13123-46014630033.33%423518.12123135000040000.00%000000.2500000000
22Brett BellemoreManchots (Pit)D3022-1201253000.00%76421.4600012000011000.00%000000.6200000000
23Cameron DarcyManchots (Pit)C36112-640213440025.00%253114.780002740000450042.78%54000000.0812000000
24Scott TimminsManchots (Pit)C31022-1149359262000.00%032910.630000240000130043.59%31200000.1200205000
25Joonas NattinenManchots (Pit)C5022055050000.00%0489.7900000000000043.18%4400000.8200010000
Team Total or Average1421237392629-40311662501735147419240012.32%6692291316.1381138219544291824640275322746.11%604700130.55134011926222833
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PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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
1Spencer MartinManchots (Pit)2891110.8484.42119620885780000.75042326010
2Linus SoderstromManchots (Pit)2471320.8684.14127500886670510.0002229000
3Niklas TreutleManchots (Pit)3661580.8803.581945001169650000.462262832110
4Allen YorkManchots (Pit)133430.8694.0256700382900000.50012915000
Team Total or Average1012543140.8683.9749842033025000510.477448282120


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PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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 Rookie Weight Height No Trade Force Waivers Contract StatusType Current Salary Salary RemainingSalary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Alex GrantManchots (Pit)D261989-01-20No205 Lbs6 ft4NoNo2RFAPro & Farm550,000$550,000$Link
Alex LintuniemiManchots (Pit)D201995-09-23Yes231 Lbs6 ft3NoNo4ELCPro & Farm693,000$693,000$693,000$693,000$Link
Allen YorkManchots (Pit)G261989-06-17No188 Lbs6 ft3NoNo3RFAPro & Farm700,000$700,000$700,000$Link
Anthony PelusoManchots (Pit)RW261989-04-18No235 Lbs6 ft3NoNo1RFAPro & Farm875,000$Link
Ben HarpurManchots (Pit)D201995-01-12Yes222 Lbs6 ft6NoNo4ELCPro & Farm655,000$655,000$655,000$655,000$Link
Brett BellemoreManchots (Pit)D271988-06-25No225 Lbs6 ft4NoNo1RFAPro & Farm700,000$Link
Cameron DarcyManchots (Pit)C211994-05-02Yes192 Lbs6 ft0NoNo4ELCPro & Farm625,000$625,000$625,000$625,000$Link
Cameron GaunceManchots (Pit)D251990-03-19No210 Lbs6 ft1NoNo3RFAPro & Farm725,000$725,000$725,000$Link
Cody CorbettManchots (Pit)D211993-12-14Yes194 Lbs6 ft0NoNo4ELCPro & Farm625,000$625,000$625,000$625,000$Link
Craig CunninghamManchots (Pit)C/LW/RW251990-09-13No184 Lbs5 ft10NoNo2RFAPro & Farm640,000$640,000$Link
Dylan SadowyManchots (Pit)LW191996-04-02Yes183 Lbs5 ft11NoNo4ELCPro & Farm700,000$700,000$700,000$700,000$Link
Gemel SmithManchots (Pit)C/LW211994-04-16Yes164 Lbs5 ft10NoNo4ELCPro & Farm645,000$645,000$645,000$645,000$Link
Jerome Gauthier-LeducManchots (Pit)D231992-07-30Yes176 Lbs6 ft1NoNo4RFAPro & Farm700,000$700,000$700,000$700,000$Link
Joel EdmundsonManchots (Pit)D221993-06-28Yes207 Lbs6 ft4NoNo4RFAPro & Farm868,000$868,000$868,000$868,000$Link
Joonas NattinenManchots (Pit)C241991-01-03No192 Lbs6 ft3NoNo2RFAPro & Farm640,000$640,000$Link
Kurtis GabrielManchots (Pit)RW221993-04-20No212 Lbs6 ft4NoNo4RFAPro & Farm650,000$650,000$650,000$650,000$Link
Linus SoderstromManchots (Pit)G191996-08-23Yes187 Lbs6 ft3NoNo4ELCPro & Farm650,000$650,000$650,000$650,000$Link
Mark OlverManchots (Pit)C/LW271988-01-01No170 Lbs5 ft10NoNo3RFAPro & Farm625,000$625,000$625,000$Link
Michael BlundenManchots (Pit)LW/RW281986-12-15No217 Lbs6 ft4NoNo2RFAPro & Farm750,000$750,000$Link
Mitch MorozManchots (Pit)LW211994-05-03Yes208 Lbs6 ft1NoNo4ELCPro & Farm825,000$825,000$825,000$825,000$Link
Niklas TreutleManchots (Pit)G241991-04-29No185 Lbs6 ft2YesNo5RFAPro & Farm800,000$800,000$800,000$800,000$800,000$Link
Pascal DupuisManchots (Pit)LW/RW361979-04-07No205 Lbs6 ft1YesNo2UFAPro & Farm5,000,001$5,000,001$Link
Richard NejezchlebManchots (Pit)LW/RW211994-05-02Yes203 Lbs6 ft2NoNo4ELCPro & Farm525,000$525,000$525,000$525,000$Link
Ryan StantonManchots (Pit)D261989-07-20No196 Lbs6 ft2YesNo1RFAPro & Farm675,000$Link
Ryan WilsonManchots (Pit)D281987-02-03No210 Lbs6 ft1NoNo2RFAPro & Farm1,150,000$1,200,000$Link
Scott TimminsManchots (Pit)C261989-09-11No191 Lbs5 ft11NoNo3RFAPro & Farm500,000$500,000$500,000$Link
Spencer MartinManchots (Pit)G201995-06-08Yes198 Lbs6 ft2NoNo4ELCPro & Farm693,000$693,000$693,000$693,000$Link
Steve OleksyManchots (Pit)D291986-02-04No190 Lbs6 ft0NoNo1RFAPro & Farm560,000$Link
T.J. GaliardiManchots (Pit)C/LW271988-04-22No185 Lbs6 ft2NoNo1RFAPro & Farm800,000$Link
Turner ElsonManchots (Pit)C/LW231992-09-13No195 Lbs6 ft0YesNo5RFAPro & Farm895,000$895,000$895,000$895,000$895,000$Link
Zach NastasiukManchots (Pit)C/RW201995-03-30Yes190 Lbs6 ft1NoNo4ELCPro & Farm642,000$642,000$642,000$642,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3123.97198 Lbs6 ft23.06841,323$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Turner ElsonCraig Cunningham33122
2Mitch MorozT.J. GaliardiAnthony Peluso26122
3Mark OlverGemel SmithZach Nastasiuk22122
4Dylan SadowyScott TimminsKurtis Gabriel19122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan WilsonAlex Lintuniemi40122
2Ryan StantonAlex Grant30122
3Steve OleksyBen Harpur20122
4Ryan StantonAlex Lintuniemi10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Craig CunninghamAnthony Peluso60122
2Dylan SadowyZach NastasiukKurtis Gabriel40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan WilsonSteve Oleksy60122
2Ryan StantonAlex Lintuniemi40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Craig CunninghamTurner Elson60122
2T.J. GaliardiKurtis Gabriel40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ben HarpurAlex Grant60122
2Ryan StantonRyan Wilson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Craig Cunningham60122Ben HarpurAlex Grant60122
2Turner Elson40122Ryan StantonRyan Wilson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Craig CunninghamAnthony Peluso60122
2Zach Nastasiuk40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan WilsonSteve Oleksy60122
2Ryan StantonAlex Grant40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Craig CunninghamAnthony PelusoAlex LintuniemiRyan Wilson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Turner ElsonCraig CunninghamKurtis GabrielBen HarpurAlex Grant
Extra Forwards
Normal PowerPlayPenalty Kill
Turner Elson, Mitch Moroz, Zach NastasiukTurner Elson, Anthony PelusoZach Nastasiuk
Extra Defensemen
Normal PowerPlayPenalty Kill
Ryan Stanton, Steve Oleksy, Ryan WilsonRyan StantonRyan Wilson, Steve Oleksy
Penalty Shots
Anthony Peluso, Craig Cunningham, Mitch Moroz, Zach Nastasiuk, Dylan Sadowy
Goalie
#1 : Allen York, #2 : Niklas Treutle


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
Admirals20100001611-51000000123-11010000048-410.25061016001067968146068864068967671725521218.33%5260.00%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Falcons413000001317-421100000101002020000037-420.250132336001067968141016886406896712037528216531.25%24579.17%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Bruins321000008802110000057-21100000031240.667815230010679681460688640689678122448013538.46%17194.12%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Crunch30200001712-51000000134-12020000048-410.1677132000106796814756886406896787323864900.00%14285.71%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Heat201000108801010000034-11000001054120.5008142200106796814356886406896748726486116.67%12283.33%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Phantoms413000001217-52110000065120200000612-620.25012193110106796814986886406896710627519020630.00%23769.57%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Baby Hawks20200000610-41010000024-21010000046-200.000610160010679681460688640689676316353713215.38%10280.00%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Monsters20200000610-41010000034-11010000036-300.000612180010679681440688640689676714522612433.33%10370.00%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Jayhawks22000000853110000004311100000042241.00081422001067968144468864068967611635576350.00%11190.91%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Cougars30300000712-52020000058-31010000024-200.00071017001067968145968864068967993090481218.33%18383.33%11070233745.79%1166246547.30%674143946.84%1916125119636471112559
Oil Kings211000008801010000056-11100000032120.50081321001067968146168864068967472335388337.50%15660.00%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Sound Tigers412000011018-82110000059-42010000159-430.375101727001067968148968864068967131505610915533.33%23578.26%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Monarchs2010001067-1100000103211010000035-220.500691500106796814426886406896766132846700.00%13376.92%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Minnesota220000001165110000005231100000064241.000111930001067968147368864068967701940456116.67%10280.00%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Spiders50400100526-2130200100412-820200000114-1310.10051015001067968141016886406896718246681032229.09%22577.27%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Senators311001001113-21100000032120100100811-330.5001118290010679681465688640689679126376019526.32%16381.25%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Wolf Pack5310010024213220000001174311001001314-170.70024416500106796814189688640689671765769132311238.71%23386.96%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Sharks2000000257-21000000134-11000000123-120.5005914001067968145468864068967572433489111.11%9188.89%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Chiefs20200000511-61010000024-21010000037-400.00058130010679681432688640689675313144410330.00%7271.43%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Thunder321000001091211000008801100000021140.6671018280010679681482688640689679231455314214.29%15286.67%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Marlies311000011012-2110000005322010000159-430.5001016260010679681476688640689678216477412325.00%21385.71%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Comets20200000412-81010000025-31010000027-500.0004590010679681454688640689676514244810110.00%9277.78%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Cabaret Lady Mary Ann321000001613321100000111011100000053240.667162945001067968141136886406896710036298916743.75%12191.67%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
IceCaps2020000014-31010000002-21010000012-100.000123001067968142868864068967601645381300.00%15193.33%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Chill20200000512-71010000036-31010000026-400.0005914001067968143968864068967652126451000.00%13376.92%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Rocket3200010013121110000004312100010099050.8331322350010679681479688640689677222476219210.53%15380.00%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Bears4110001114140210000019812010001056-150.6251425390010679681494688640689679920579416425.00%20385.00%11070233745.79%1166246547.30%674143946.84%1916125119636471112559
Caroline402000021016-62010000157-22010000159-420.25010152500106796814886886406896712633538323521.74%24483.33%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Las Vegas20100001710-31000000145-11010000035-210.250710170010679681448688640689676816523211327.27%10280.00%01070233745.79%1166246547.30%674143946.84%1916125119636471112559
Vs Conference45122300325130184-542399001137285-1322314002125899-41360.40013022535510106796814110268864068967139340763610322174822.12%2384481.51%11070233745.79%1166246547.30%674143946.84%1916125119636471112559
Since Last GM Reset822243004310256341-8541141900116135157-224182400324121184-63640.390256435691101067968142039688640689672501714125318273908722.31%4368281.19%21070233745.79%1166246547.30%674143946.84%1916125119636471112559
Total822243004310256341-8541141900116135157-224182400324121184-63640.390256435691101067968142039688640689672501714125318273908722.31%4368281.19%21070233745.79%1166246547.30%674143946.84%1916125119636471112559

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8264W1256435691203925017141253182710
All Games
GPWLOTWOTL SOWSOLGFGA
82224304310256341
Home Games
GPWLOTWOTL SOWSOLGFGA
4114190116135157
Visitor Games
GPWLOTWOTL SOWSOLGFGA
418240324121184
Last 10 Games
WLOTWOTL SOWSOL
260101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3908722.31%4368281.19%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
68864068967106796814
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1070233745.79%1166246547.30%674143946.84%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1916125119636471112559


Last Played Games
Filter Tips
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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
2 - 2016-10-1312Bears5Manchots4LXXBoxScore
4 - 2016-10-1522Admirals3Manchots2LXXBoxScore
6 - 2016-10-1734Monsters4Manchots3LBoxScore
7 - 2016-10-1841Manchots3Rocket4LXBoxScore
9 - 2016-10-2053Sharks4Manchots3LXXBoxScore
11 - 2016-10-2270Manchots3Las Vegas5LBoxScore
14 - 2016-10-2586Cabaret Lady Mary Ann5Manchots7WBoxScore
16 - 2016-10-27100Sound Tigers3Manchots4WBoxScore
18 - 2016-10-29115Manchots4Phantoms8LBoxScore
22 - 2016-11-02145Manchots4Admirals8LBoxScore
23 - 2016-11-03148Manchots3Monarchs5LBoxScore
25 - 2016-11-05173Manchots2Sharks3LXXBoxScore
28 - 2016-11-08186Oil Kings6Manchots5LBoxScore
30 - 2016-11-10204Minnesota2Manchots5WBoxScore
32 - 2016-11-12221Marlies3Manchots5WBoxScore
36 - 2016-11-16243Manchots3Bears2WXXBoxScore
38 - 2016-11-18255Manchots1Sound Tigers4LBoxScore
39 - 2016-11-19268Manchots0Crunch3LBoxScore
41 - 2016-11-21277Wolf Pack5Manchots6WBoxScore
43 - 2016-11-23290Manchots5Wolf Pack6LXBoxScore
45 - 2016-11-25310Manchots6Minnesota4WBoxScore
46 - 2016-11-26317Spiders3Manchots2LXBoxScore
50 - 2016-11-30343Manchots4Sound Tigers5LXXBoxScore
51 - 2016-12-01347Jayhawks3Manchots4WBoxScore
53 - 2016-12-03360Cougars5Manchots3LBoxScore
55 - 2016-12-05379Senators2Manchots3WBoxScore
58 - 2016-12-08400Manchots5Cabaret Lady Mary Ann3WBoxScore
60 - 2016-12-10411Manchots2Thunder1WBoxScore
62 - 2016-12-12429Chill6Manchots3LBoxScore
64 - 2016-12-14442Bruins5Manchots2LBoxScore
66 - 2016-12-16453Monarchs2Manchots3WXXBoxScore
67 - 2016-12-17462Manchots3Marlies6LBoxScore
70 - 2016-12-20483Wolf Pack2Manchots5WBoxScore
72 - 2016-12-22497Manchots2Falcons3LBoxScore
73 - 2016-12-23511Spiders4Manchots1LBoxScore
77 - 2016-12-27517Manchots0Spiders8LBoxScore
78 - 2016-12-28528Caroline6Manchots5LXXBoxScore
81 - 2016-12-31556Rocket3Manchots4WBoxScore
89 - 2017-01-08603Thunder4Manchots3LBoxScore
92 - 2017-01-11622Manchots2Bears4LBoxScore
93 - 2017-01-12625Manchots4Senators6LBoxScore
95 - 2017-01-14644Manchots2Cougars4LBoxScore
97 - 2017-01-16661Bears3Manchots5WBoxScore
99 - 2017-01-18672Manchots6Rocket5WBoxScore
101 - 2017-01-20687Manchots1Caroline4LBoxScore
103 - 2017-01-22702Bruins2Manchots3WBoxScore
105 - 2017-01-24717Chiefs4Manchots2LBoxScore
107 - 2017-01-26738Manchots3Bruins1WBoxScore
112 - 2017-01-31748Las Vegas5Manchots4LXXBoxScore
115 - 2017-02-03767Falcons2Manchots4WBoxScore
116 - 2017-02-04779Manchots3Chiefs7LBoxScore
119 - 2017-02-07792Heat4Manchots3LBoxScore
121 - 2017-02-09804Manchots3Monsters6LBoxScore
123 - 2017-02-11826Manchots2Chill6LBoxScore
126 - 2017-02-14837Comets5Manchots2LBoxScore
128 - 2017-02-16849IceCaps2Manchots0LBoxScore
129 - 2017-02-17855Manchots1Falcons4LBoxScore
131 - 2017-02-19878Cougars3Manchots2LBoxScore
133 - 2017-02-21884Manchots4Caroline5LXXBoxScore
137 - 2017-02-25909Phantoms2Manchots1LBoxScore
140 - 2017-02-28933Manchots4Jayhawks2WBoxScore
141 - 2017-03-01935Manchots4Baby Hawks6LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
143 - 2017-03-03948Thunder4Manchots5WBoxScore
145 - 2017-03-05964Crunch4Manchots3LXXBoxScore
148 - 2017-03-08984Manchots1IceCaps2LBoxScore
150 - 2017-03-10999Manchots3Oil Kings2WBoxScore
151 - 2017-03-111000Manchots2Comets7LBoxScore
153 - 2017-03-131020Manchots5Heat4WXXBoxScore
155 - 2017-03-151033Manchots2Phantoms4LBoxScore
157 - 2017-03-171050Spiders5Manchots1LBoxScore
159 - 2017-03-191067Cabaret Lady Mary Ann5Manchots4LBoxScore
161 - 2017-03-211076Manchots4Crunch5LBoxScore
163 - 2017-03-231093Manchots4Senators5LXBoxScore
164 - 2017-03-241101Sound Tigers6Manchots1LBoxScore
166 - 2017-03-261117Phantoms3Manchots5WBoxScore
169 - 2017-03-291137Baby Hawks4Manchots2LBoxScore
171 - 2017-03-311150Manchots3Wolf Pack4LBoxScore
173 - 2017-04-021167Caroline1Manchots0LBoxScore
175 - 2017-04-041189Falcons8Manchots6LBoxScore
177 - 2017-04-061198Manchots1Spiders6LBoxScore
179 - 2017-04-081211Manchots2Marlies3LXXBoxScore
180 - 2017-04-091224Manchots5Wolf Pack4WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity17501250
Ticket Price3520
Attendance5266737130
Attendance PCT73.40%72.45%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2190 - 73.01% 63,258$2,593,586$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
7,038,101$ 7,009,101$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
2,950,740$ 38,885$ 2,447,984$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 41,647$ 0$




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
Regular Season
2016822243004310256341-8541141900116135157-224182400324121184-6344256435691101067968142039688640689672501714125318273908722.31%4368281.19%21070233745.79%1166246547.30%674143946.84%1916125119636471112559
Total Regular Season822243004310256341-8541141900116135157-224182400324121184-6344256435691101067968142039688640689672501714125318273908722.31%4368281.19%21070233745.79%1166246547.30%674143946.84%1916125119636471112559