Your STHS is out of Date! Please update your STHS version!
Login

Manchots
GP: 82 | W: 44 | L: 30 | OTL: 8 | P: 96
GF: 179 | GA: 143 | PP%: 13.98% | PK%: 84.03%
GM : Raphael Belanger | Morale : 50 | Team Overall : 58
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Chill
37-37-8, 82pts
2
FINAL
3 Manchots
44-30-8, 96pts
Team Stats
SOL1StreakW3
20-18-3Home Record22-16-3
17-19-5Home Record22-14-5
3-6-1Last 10 Games5-4-1
2.17Goals Per Game2.18
2.28Goals Against Per Game1.74
18.39%Power Play Percentage13.98%
85.50%Penalty Kill Percentage84.03%
Manchots
44-30-8, 96pts
3
FINAL
2 Sound Tigers
46-29-7, 99pts
Team Stats
W3StreakL1
22-16-3Home Record25-12-4
22-14-5Home Record21-17-3
5-4-1Last 10 Games6-4-0
2.18Goals Per Game2.33
1.74Goals Against Per Game2.04
13.98%Power Play Percentage16.87%
84.03%Penalty Kill Percentage85.26%
Team Leaders
Goals
Simon Holmstrom
24
Assists
Ian Mitchell
39
Points
Ian Mitchell
52
Plus/Minus
Simon Holmstrom
20
Wins
Nico Daws
41
Save Percentage
Nico Daws
0.917

Team Stats
Goals For
179
2.18 GFG
Shots For
1543
18.82 Avg
Power Play Percentage
14.0%
39 GF
Offensive Zone Start
39.8%
Goals Against
143
1.74 GAA
Shots Against
1509
18.40 Avg
Penalty Kill Percentage
84.0%%
38 GA
Defensive Zone Start
38.5%
Team Info

General ManagerRaphael Belanger
DivisionEst
ConferenceEst
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance1,932
Season Tickets300


Roster Info

Pro Team26
Farm Team19
Contract Limit45 / 50
Prospects11


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 Average
1Juuso Parssinen (R)X100.00725178718178687169726567695250050680213850,833$
2Simon Holmstrom (R)X100.00634584728077676841646366685250050650211894,167$
3C.J. SuessX100.00574865676269686146585659615950050600281700,000$
4Mackenzie MacEachernXX100.00604668676367666142605661615952050600281560,000$
5Hendrix Lapierre (R)X100.00624065686260616253605960635050050600203863,333$
6Pierrick Dube (R)X100.0059406669576161634260596064505005060N0211620,000$
7Ben Tardif (R)XXX100.0062406966626059574055546059515005058N0221620,000$
8Vitaly Abramov (R)XX100.00646584666553535648535261544444050570241600,000$
9Riley Bezeau (R)XXX100.0060635863626060594054545459505005056N0203635,000$
10Joel HanleyX100.006654817374817968406361696879690506903111,020,000$
11Jamie DrysdaleX100.00584379767786697140666266695952050680201925,000$
12Ian MitchellX100.00564478747279686840666266685752050660231925,000$
13Vincent Sevigny (R)X100.0060406768626161614058576262505005060N0211625,000$
14Seth Barton (R)X100.00614566656661585640515261585150050590231925,000$
15Tyson Feist (R)X100.0063406862675957544053536156505005058N0211620,000$
Scratches
1Ivan ChekhovichX100.00717493596753495553534765454444050560231776,667$
2Mikhail VorobyevX100.00504186687244624681494664234747050550251625,000$
3Tyler SteenbergenXXX100.00666691666658625068385360564444050550242650,000$
4Pavel Gogolev (R)X100.00514553575354525240505150525050050520223834,167$
5Tyler Weiss (R)X100.00454261675646564149403244375050050470222650,000$
6Clayton Phillips (R)X100.00434475626440533325302845325454050470231575,000$
TEAM AVERAGE100.0059487367666261584755536056525005059
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 Average
1Nico Daws (R)100.0073666875727375727371655150050660213800,000$
2Hunter Shepard (R)100.0072636467696971697068585550050630261950,000$
Scratches
1Sebastian Cossa (R)100.0058575769615757535959535050050540193894,167$
2Trent Miner (R)100.0059545465585554525557505050050520212560,000$
3Tomas Vomacka (R)100.0042706164413638393437365446050430231525,000$
TEAM AVERAGE100.006162616860585957585852524905056
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
1Ian MitchellManchots (Pit)D82133952192408710288317814.77%68176221.5098176122700001832050.00%200100.5900000474
2Simon HolmstromManchots (Pit)RW8024254920100671602115614711.37%13191123.894592723401152055151.51%33200010.51416000936
3Jamie DrysdaleManchots (Pit)D821232442400869899217312.12%63189423.11761369259101219021100.00%100000.4612000234
4Hendrix LapierreManchots (Pit)C821426406300102127127379311.02%9151818.5221416182300000572150.99%141800000.5346000361
5Juuso ParssinenManchots (Pit)C551821391936095145166529010.84%15130823.790553516000021427061.87%131400000.6039000461
6Pierrick DubeManchots (Pit)RW8220143413300801041554311412.90%9154718.87279282200000384249.59%12100010.4406000712
7Joel HanleyManchots (Pit)D729243357751359070295612.86%50173924.16369402220111152200%000000.3800100133
8Wyatt JohnstonPittsburghC27151025171402980103176014.56%857521.3141521670003854161.80%66500000.8712000622
9C.J. SuessManchots (Pit)LW729142320160645083215410.84%7138319.22134132130002943148.44%12800000.3348000040
10Vincent SevignyManchots (Pit)D82418228280977438142610.53%42135816.5722414810000581050.00%200000.3200000012
11Mackenzie MacEachernManchots (Pit)LW/RW72712191127567859631517.29%2141419.64235142050000702049.07%10800000.2726100121
12Ben TardifManchots (Pit)C/LW/RW82613195200871318821656.82%9142217.350444930000592044.43%97900000.2701000040
13Seth BartonManchots (Pit)D8211617950011557199175.26%46126615.44011111000064000%000000.2700000012
14Riley BezeauManchots (Pit)C/LW/RW826612124092599411656.38%9127915.610002220000241052.63%7600000.1900000102
15Tyson FeistManchots (Pit)D6519105240491815686.67%3166110.17000425000045000%000000.3000000101
16Ivan ChekhovichManchots (Pit)LW27369060925163818.75%22308.530001130000101047.62%14700000.7800000011
17Vitaly AbramovManchots (Pit)LW/RW72549231537726319447.94%10115115.99000190001730147.78%9000000.1600001212
18Pavel GogolevManchots (Pit)RW1011202013741525.00%016316.3200003000000060.00%1000000.2500000100
19Clayton PhillipsManchots (Pit)D10000-100910000%115315.37000000000700100.00%10000000000000
Team Total or Average121816829045816148915132014851535422105410.94%3942274318.673665101353230212316156638853.60%539400120.401956201424534
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
1Nico DawsManchots (Pit)72412560.9171.47436421210712850300.72744720743
2Hunter ShepardManchots (Pit)10000.9172.73220011200000072000
Team Total or Average73412560.9171.4843862121081297030447272743


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 Rookie Weight Height No Trade Available For Trade Force Waivers Waiver Possible Contract Type Current Salary Salary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Ben Tardif (1 Way Contract)Manchots (Pit)C/LW/RW222000-01-24Yes190 Lbs5 ft10YesNoNoNo1Pro & Farm620,000$0$0$NoLink
C.J. Suess (1 Way Contract)Manchots (Pit)LW281994-03-17No190 Lbs5 ft11NoNoYesYes1Pro & Farm700,000$0$0$NoLink
Clayton PhillipsManchots (Pit)D231999-09-09Yes182 Lbs5 ft10NoNoNoNo1Pro & Farm575,000$0$0$NoLink
Hendrix LapierreManchots (Pit)C202002-02-09Yes179 Lbs6 ft0NoNoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$
Hunter ShepardManchots (Pit)G261995-11-07Yes209 Lbs6 ft1NoNoYesYes1Pro & Farm950,000$0$0$NoLink
Ian MitchellManchots (Pit)D231999-01-18No193 Lbs5 ft11NoNoNoNo1Pro & Farm925,000$0$0$NoLink
Ivan ChekhovichManchots (Pit)LW231999-01-04No187 Lbs5 ft11NoNoNoNo1Pro & Farm776,667$0$0$NoLink
Jamie DrysdaleManchots (Pit)D202002-04-08No183 Lbs5 ft11NoNoNoNo1Pro & Farm925,000$0$0$NoLink
Joel Hanley (1 Way Contract)Manchots (Pit)D311991-06-08No190 Lbs5 ft11NoNoYesYes1Pro & Farm1,020,000$120,000$0$NoLink
Juuso ParssinenManchots (Pit)C212001-02-01Yes212 Lbs6 ft3NoNoNoNo3Pro & Farm850,833$0$0$No850,833$850,833$
Mackenzie MacEachern (1 Way Contract)Manchots (Pit)LW/RW281994-03-09No190 Lbs6 ft2NoNoYesYes1Pro & Farm560,000$0$0$NoLink
Mikhail VorobyevManchots (Pit)C251997-01-04No194 Lbs6 ft2NoNoYesYes1Pro & Farm625,000$0$0$NoLink
Nico DawsManchots (Pit)G212000-12-22Yes205 Lbs6 ft4NoNoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Link
Pavel GogolevManchots (Pit)RW222000-02-19Yes197 Lbs6 ft1NoNoNoNo3Pro & Farm834,167$0$0$No834,167$834,167$Link
Pierrick Dube (1 Way Contract)Manchots (Pit)RW212001-01-07Yes165 Lbs5 ft9YesNoNoNo1Pro & Farm620,000$0$0$NoLink
Riley Bezeau (1 Way Contract)Manchots (Pit)C/LW/RW202002-05-04Yes187 Lbs6 ft0YesNoNoNo3Pro & Farm635,000$0$0$No635,000$635,000$Link
Sebastian CossaManchots (Pit)G192002-11-21Yes209 Lbs6 ft6NoNoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$
Seth BartonManchots (Pit)D231999-08-18Yes196 Lbs6 ft3NoNoNoNo1Pro & Farm925,000$0$0$NoLink
Simon HolmstromManchots (Pit)RW212001-05-24Yes205 Lbs6 ft2NoNoNoNo1Pro & Farm894,167$0$0$NoLink
Tomas VomackaManchots (Pit)G231999-05-02Yes165 Lbs6 ft3NoNoNoNo1Pro & Farm525,000$0$0$NoLink
Trent MinerManchots (Pit)G212001-02-05Yes185 Lbs6 ft1NoNoNoNo2Pro & Farm560,000$0$0$No560,000$Link
Tyler SteenbergenManchots (Pit)C/LW/RW241998-01-07No188 Lbs5 ft10NoNoYesYes2Pro & Farm650,000$0$0$No650,000$Link
Tyler WeissManchots (Pit)LW222000-01-03Yes151 Lbs5 ft11NoNoNoNo2Pro & Farm650,000$0$0$No650,000$Link
Tyson Feist (1 Way Contract)Manchots (Pit)D212001-01-14Yes207 Lbs6 ft3YesNoNoNo1Pro & Farm620,000$0$0$NoLink
Vincent Sevigny (1 Way Contract)Manchots (Pit)D212001-04-14Yes174 Lbs6 ft3YesNoNoNo1Pro & Farm625,000$0$0$NoLink
Vitaly AbramovManchots (Pit)LW/RW241998-05-08Yes181 Lbs5 ft10NoNoYesYes1Pro & Farm600,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2622.81189 Lbs6 ft11.58739,359$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mackenzie MacEachernJuuso ParssinenSimon Holmstrom40122
2C.J. SuessHendrix LapierrePierrick Dube30122
3Vitaly AbramovBen TardifRiley Bezeau20122
4Simon HolmstromJuuso ParssinenPierrick Dube10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joel HanleyJamie Drysdale40122
2Ian MitchellVincent Sevigny30122
3Seth BartonTyson Feist20122
4Joel HanleyJamie Drysdale10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mackenzie MacEachernJuuso ParssinenSimon Holmstrom60122
2C.J. SuessHendrix LapierrePierrick Dube40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Joel HanleyJamie Drysdale60122
2Ian MitchellVincent Sevigny40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Juuso ParssinenSimon Holmstrom60122
2Pierrick DubeHendrix Lapierre40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Joel HanleyJamie Drysdale60122
2Ian MitchellVincent Sevigny40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Juuso Parssinen60122Joel HanleyJamie Drysdale60122
2Simon Holmstrom40122Ian MitchellVincent Sevigny40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Juuso ParssinenSimon Holmstrom60122
2Pierrick DubeHendrix Lapierre40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joel HanleyJamie Drysdale60122
2Ian MitchellVincent Sevigny40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Mackenzie MacEachernJuuso ParssinenSimon HolmstromJoel HanleyJamie Drysdale
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Mackenzie MacEachernJuuso ParssinenSimon HolmstromJoel HanleyJamie Drysdale
Extra Forwards
Normal PowerPlayPenalty Kill
Ben Tardif, Vitaly Abramov, Riley BezeauBen Tardif, Vitaly AbramovRiley Bezeau
Extra Defensemen
Normal PowerPlayPenalty Kill
Seth Barton, Tyson Feist, Ian MitchellSeth BartonTyson Feist, Ian Mitchell
Penalty Shots
Juuso Parssinen, Simon Holmstrom, Pierrick Dube, Hendrix Lapierre, Mackenzie MacEachern
Goalie
#1 : Nico Daws, #2 : Hunter Shepard


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
1Admirals201000105501010000023-11000001032120.500571200645648214348251451983341314387114.29%30100.00%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
2Baby Hawks2020000016-51010000015-41010000001-100.0001230064564821294825145198347151236200.00%6266.67%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
3Bears421000011082211000006602100000142250.62510192901645648217048251451983521428671119.09%13376.92%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
4Bruins3110001035-2110000001012010001025-340.6673250164564821554825145198346922611300.00%10280.00%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
5Cabaret Lady Mary Ann312000005502020000014-31100000041320.333591400645648215348251451983431718521317.69%9277.78%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
6Caroline410000211064210000107342000001133070.875101424006456482169482514519836817266816425.00%120100.00%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
7Chiefs220000001055110000005231100000053241.00010182800645648213648251451983369103510330.00%5260.00%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
8Chill20001010422100000103211000100010141.000459016456482139482514519833316838700.00%4175.00%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
9Comets21100000541110000003121010000023-120.50051015006456482153482514519833813125310220.00%60100.00%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
10Cougars30200001611-52020000037-41000000134-110.167611170064564821404825145198393191853600.00%9188.89%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
11Crunch311000015322010000103-31100000050530.500581301645648215948251451983531516489111.11%70100.00%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
12Heat2020000035-21010000034-11010000001-100.0003580064564821414825145198354161242400.00%6183.33%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
13Jayhawks220000001019110000005051100000051441.00010203001645648215748251451983511010508450.00%4175.00%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
14Las Vegas201000104401010000001-11000001043120.50046100064564821354825145198333712372150.00%6183.33%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
15Marlies32100000936110000003122110000062440.66791524006456482181482514519834320124817211.76%5180.00%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
16Minnesota21100000532110000004131010000012-120.50059140064564821384825145198347124336116.67%2150.00%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
17Monarchs21100000734110000006151010000012-120.50071421006456482138482514519833051628400.00%8187.50%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
18Monsters42100001752211000003212100000143150.62571320016456482171482514519836516264921419.05%13284.62%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
19Monsters211000005411010000023-11100000031220.50059140064564821434825145198333942614428.57%10100.00%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
20Oceanics22000000422110000002111100000021141.000471100645648214148251451983271124407114.29%10280.00%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
21Oil Kings2020000013-21010000001-11010000012-100.000123006456482132482514519832988336116.67%40100.00%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
22Phantoms43100000844220000005142110000033060.7508152301645648217248251451983621932721200.00%100100.00%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
23Rocket3010001134-1200000113301010000001-130.50034700645648215048251451983341324547114.29%11281.82%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
24Sags21100000752110000005231010000023-120.500713200064564821324825145198338111637600.00%7185.71%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
25Seattle2110000035-2110000002021010000015-420.5003690164564821344825145198343171633700.00%8362.50%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
26Senators320010001046110000004132100100063361.00010182800645648215348251451983581218461516.67%7185.71%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
27Sound Tigers43000100972210001004402200000053270.87591524016456482175482514519837015266110220.00%13284.62%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
28Spiders3120000035-21010000002-22110000033020.333358006456482145482514519834161454900.00%7357.14%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
29Stars21000001431110000004221000000101-130.75045900645648213148251451983421612364125.00%6266.67%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
30Thunder310000201165110000005232000002064261.00011172800645648217648251451983882543737228.57%14192.86%11129212553.13%1056205351.44%593115951.16%2069145819065821028527
31Wolf Pack3030000027-52020000015-41010000012-100.00024600645648215248251451983781524369111.11%120100.00%01129212553.13%1056205351.44%593115951.16%2069145819065821028527
Total82333002197179143364119160013293732041141402065867016960.5851793074860964564821154348251451983150942053714372793913.98%2383884.03%11129212553.13%1056205351.44%593115951.16%2069145819065821028527
_Since Last GM Reset82333002197179143364119160013293732041141402065867016960.5851793074860964564821154348251451983150942053714372793913.98%2383884.03%11129212553.13%1056205351.44%593115951.16%2069145819065821028527
_Vs Conference442113021529971282012600110503317249702042493811590.67099169268066456482184348251451983765207323748155159.68%1362085.29%11129212553.13%1056205351.44%593115951.16%2069145819065821028527

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8296W317930748615431509420537143709
All Games
GPWLOTWOTL SOWSOLGFGA
8233302197179143
Home Games
GPWLOTWOTL SOWSOLGFGA
41191601329373
Visitor Games
GPWLOTWOTL SOWSOLGFGA
41141420658670
Last 10 Games
WLOTWOTL SOWSOL
540001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2793913.98%2383884.03%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
4825145198364564821
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1129212553.13%1056205351.44%593115951.16%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2069145819065821028527


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
1 - 2023-10-102Baby Hawks5Manchots1BLBoxScore
4 - 2023-10-1318Manchots1Bears2ALXXBoxScore
5 - 2023-10-1425Heat4Manchots3BLBoxScore
9 - 2023-10-1850Manchots3Cougars4ALXXBoxScore
12 - 2023-10-2175Manchots5Chiefs3AWBoxScore
15 - 2023-10-2488Stars2Manchots4BWBoxScore
17 - 2023-10-26105Monsters3Manchots2BLBoxScore
19 - 2023-10-28123Senators1Manchots4BWBoxScore
21 - 2023-10-30132Admirals3Manchots2BLBoxScore
26 - 2023-11-04171Manchots2Sags3ALBoxScore
29 - 2023-11-07187Manchots3Admirals2AWXXBoxScore
31 - 2023-11-09202Manchots1Monarchs2ALBoxScore
33 - 2023-11-11217Crunch1Manchots0BLXXBoxScore
36 - 2023-11-14230Manchots3Monsters1AWBoxScore
38 - 2023-11-16245Spiders2Manchots0BLBoxScore
40 - 2023-11-18261Manchots1Caroline2ALXXBoxScore
41 - 2023-11-19269Las Vegas1Manchots0BLBoxScore
44 - 2023-11-22283Wolf Pack2Manchots0BLBoxScore
46 - 2023-11-24301Manchots5Crunch0AWBoxScore
47 - 2023-11-25311Marlies1Manchots3BWBoxScore
50 - 2023-11-28331Manchots1Chill0AWXBoxScore
52 - 2023-11-30345Manchots2Thunder1AWXXBoxScore
54 - 2023-12-02363Phantoms1Manchots3BWBoxScore
56 - 2023-12-04374Manchots0Phantoms2ALBoxScore
58 - 2023-12-06389Manchots4Thunder3AWXXBoxScore
60 - 2023-12-08406Manchots4Cabaret Lady Mary Ann1AWBoxScore
64 - 2023-12-12434Jayhawks0Manchots5BWBoxScore
65 - 2023-12-13442Manchots0Rocket1ALBoxScore
68 - 2023-12-16467Manchots6Marlies1AWBoxScore
70 - 2023-12-18480Minnesota1Manchots4BWBoxScore
73 - 2023-12-21503Caroline1Manchots4BWBoxScore
75 - 2023-12-23520Manchots3Senators2AWXBoxScore
79 - 2023-12-27533Manchots2Sound Tigers1AWBoxScore
82 - 2023-12-30559Chiefs2Manchots5BWBoxScore
83 - 2023-12-31567Sound Tigers0Manchots1BWBoxScore
85 - 2024-01-02576Bears3Manchots2BLBoxScore
87 - 2024-01-04589Manchots0Bruins4ALBoxScore
89 - 2024-01-06613Crunch2Manchots0BLBoxScore
91 - 2024-01-08622Manchots3Phantoms1AWBoxScore
94 - 2024-01-11643Comets1Manchots3BWBoxScore
96 - 2024-01-13658Manchots2Caroline1AWXXBoxScore
98 - 2024-01-15677Seattle0Manchots2BWBoxScore
103 - 2024-01-20715Manchots4Las Vegas3AWXXBoxScore
105 - 2024-01-22727Manchots5Jayhawks1AWBoxScore
109 - 2024-01-26756Cabaret Lady Mary Ann3Manchots1BLBoxScore
110 - 2024-01-27767Rocket2Manchots3BWXXBoxScore
120 - 2024-02-06788Oceanics1Manchots2BWBoxScore
123 - 2024-02-09801Manchots1Minnesota2ALBoxScore
124 - 2024-02-10810Manchots2Oceanics1AWBoxScore
128 - 2024-02-14835Cabaret Lady Mary Ann1Manchots0BLBoxScore
129 - 2024-02-15845Manchots0Baby Hawks1ALBoxScore
132 - 2024-02-18865Monarchs1Manchots6BWBoxScore
134 - 2024-02-20878Sound Tigers4Manchots3BLXBoxScore
136 - 2024-02-22893Rocket1Manchots0BLXXBoxScore
139 - 2024-02-25917Phantoms0Manchots2BWBoxScore
141 - 2024-02-27937Manchots2Comets3ALBoxScore
143 - 2024-02-29950Manchots1Seattle5ALBoxScore
145 - 2024-03-02968Manchots0Heat1ALBoxScore
146 - 2024-03-03974Manchots1Oil Kings2ALBoxScore
148 - 2024-03-05983Monsters2Manchots1BLBoxScore
150 - 2024-03-07998Bears3Manchots4BWBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
152 - 2024-03-091012Manchots2Bruins1AWXXBoxScore
153 - 2024-03-101022Oil Kings1Manchots0BLBoxScore
155 - 2024-03-121034Manchots3Senators1AWBoxScore
157 - 2024-03-141051Sags2Manchots5BWBoxScore
159 - 2024-03-161061Wolf Pack3Manchots1BLBoxScore
160 - 2024-03-171078Cougars4Manchots2BLBoxScore
162 - 2024-03-191084Manchots2Spiders1AWBoxScore
165 - 2024-03-221110Manchots0Stars1ALXXBoxScore
167 - 2024-03-241125Manchots3Monsters1AWBoxScore
169 - 2024-03-261138Caroline2Manchots3BWXXBoxScore
171 - 2024-03-281154Monsters0Manchots2BWBoxScore
173 - 2024-03-301172Manchots1Monsters2ALXXBoxScore
175 - 2024-04-011182Manchots1Wolf Pack2ALBoxScore
176 - 2024-04-021191Manchots1Spiders2ALBoxScore
178 - 2024-04-041206Manchots3Bears0AWBoxScore
180 - 2024-04-061217Thunder2Manchots5BWBoxScore
182 - 2024-04-081237Manchots0Marlies1ALBoxScore
185 - 2024-04-111258Cougars3Manchots1BLBoxScore
187 - 2024-04-131279Bruins0Manchots1BWBoxScore
189 - 2024-04-151289Chill2Manchots3BWXXBoxScore
191 - 2024-04-171303Manchots3Sound Tigers2AWBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity17501250
Ticket Price5020
Attendance45,01034,221
Attendance PCT62.73%66.77%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 1932 - 64.42% 85,900$3,521,904$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,434,127$ 1,382,334$ 1,382,334$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
7,200$ 1,434,127$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 7,200$ 0$




Manchots 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

Manchots Goalies Stat Leaders (Regular Season)

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

Manchots 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

Manchots 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

Manchots Goalies Stat Leaders (Play-Off)

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