Your STHS is out of Date!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

Rocket
GP: 80 | W: 38 | L: 30 | OTL: 12 | P: 88
GF: 350 | GA: 364 | PP%: 19.63% | PK%: 79.14%
GM : Pierre-Olivier Lévesque | Morale : 26 | Team Overall : 63
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Rocket
38-30-12, 88pts
6
FINAL
3 Canucks
44-31-5, 93pts
Team Stats
L1StreakL2
24-12-4Home Record24-15-1
14-18-8Home Record20-16-4
5-3-2Last 10 Games2-7-1
4.38Goals Per Game4.54
4.55Goals Against Per Game3.96
19.63%Power Play Percentage23.93%
79.14%Penalty Kill Percentage76.95%
Moose
41-34-5, 87pts
6
FINAL
4 Rocket
38-30-12, 88pts
Team Stats
W1StreakL1
20-16-4Home Record24-12-4
21-18-1Home Record14-18-8
3-6-1Last 10 Games5-3-2
4.50Goals Per Game4.38
4.21Goals Against Per Game4.55
24.84%Power Play Percentage19.63%
79.08%Penalty Kill Percentage79.14%
Team Leaders
Goals
Brandon Pirri
48
Assists
Dominic Turgeon
64
Points
Brandon Pirri
107
Plus/Minus
Sergey Tolchinsky
19
Wins
Eamon McAdam
20
Save Percentage
Jamie Phillips
0.868

Team Stats
Goals For
350
4.38 GFG
Shots For
2787
34.84 Avg
Power Play Percentage
19.6%
64 GF
Offensive Zone Start
37.3%
Goals Against
364
4.55 GAA
Shots Against
2585
32.31 Avg
Penalty Kill Percentage
79.1%%
68 GA
Defensive Zone Start
35.7%
Team Info

General ManagerPierre-Olivier Lévesque
CoachRick Tocchet
DivisionThayer-Tutt
ConferenceRobert-Lebel
CaptainScott Wilson
Assistant #1Peter Holland
Assistant #2


Arena Info

Capacity3,000
Attendance2,785
Season Tickets300


Roster Info

Pro Team34
Farm Team18
Contract Limit52 / 250
Prospects0


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
1Brandon PirriX100.007629727574737775737080577467563039710272975,000$
2Dominic Turgeon (R)X100.006336886771787167747767766552464646700223900,000$
3Peter Holland (A)X100.007839807473696875757170657065542946700271975,000$
4Scott Wilson (C)X100.007527757573777275706479607061573025700261975,000$
5Sergey Tolchinsky (R)X100.007421787568726577647070696948474446690231650,000$
6Karson Kuhlman (R)X100.007449777075597870697077685951524447690233850,000$
7Troy Terry (R)X100.006632817762695976656367657443455560660213700,000$
8Ty RattieX100.006226687369627569656478537152523724660251650,000$
9Jakob Lilja (R)X100.006238767073655871696358616854532243640251500,000$
10Raphael BussieresX100.006842746672646464596772576847482923640251500,000$
11JC LiponX100.007256677266536766686063556052533543630251500,000$
12Luke Kunin (R)X100.007337736972517172536168525743454646630212500,000$
13Mikhail Maltsev (R)X100.007046666879536972506363605143436423630202500,000$
14Branden Troock (R)X100.006145777064606566666264556146462742620241650,000$
15Francis Perron (R)X100.006137716449587169727869416244454523620221550,000$
16Taylor Leier (R)X100.005331825863625868565870526846463124610242450,000$
17Zack MacEwen (R)X100.006648616173617060566165555745463424600223600,000$
18MacKenzie Entwistle (R)X100.007436655468567855586960494441416224580191500,000$
19Chris Bigras (R)X100.007125877573807570567554816365484563720231925,000$
20Viktor LoovX100.007441827070737867577770716377573346720261900,000$
21Andrei Mironov (R)X100.006745877266696967627866756565514246700241650,000$
22Dylan DeMeloX100.006724847968727377537561716257513646700251900,000$
23Jack Glover (R)X100.006741827571717272626174676351475346680221650,000$
24Ryan Collins (R)X100.005435666565616358456956645244444123600221650,000$
25Rasmus Sandin (R)X100.005633665347686061316159475040407524550182500,000$
Scratches
1Damien Giroux (R)X100.006133715859536353585458466340406719550182500,000$
2Reese Johnson (R)X100.004721676250576267656253376044445119550201500,000$
3Niklas Nordgren (R)X100.004323694154504246604759393940405820480182400,000$
4Jake Pivonka (R)X100.004628585339534142484646314040406320440182500,000$
5Dean KukanX100.006643876977716969487655895567553631730251900,000$
TEAM AVERAGE100.00653675676664676760666559615148443564
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
1Eamon McAdam100.00656967586076775858816646474337650242500,000$
2Jamie Phillips100.00736779575478725855766049492843640251500,000$
Scratches
1Connor Ingram100.00555443464952525246434142424619480212250,000$
2Alexis Gravel (R)100.00524057564545554143425140406120470182500,000$
TEAM AVERAGE100.0061586254526364525161554445453056
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Rick Tocchet71647369344958USA431500,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Brandon PirriRocket (Mon)LW764859107-711551487633510919814.33%39160621.141218304320712351527050.36%2745629011.3314000686
2Sergey TolchinskyRocket (Mon)LW8042489019400134832338113718.03%29133316.678816282190002666155.88%683914011.3500000338
3Dominic TurgeonRocket (Mon)C8025648910801101981756411614.29%54168621.08416201021020292422249.20%23131634101.0601000355
4Peter HollandRocket (Mon)C8033528532401141432368613113.98%33145918.24813212922900051253352.33%13933628001.1600000481
5Scott WilsonRocket (Mon)RW77414384-6800127862827113614.54%38146819.08111324512411123583259.65%1145725021.1403000446
6Chris BigrasRocket (Mon)D831046561610010514411344468.85%108198723.946713192430114301100%03463000.5600000123
7Troy TerryRocket (Mon)RW83212344142406957137528415.33%2291210.993477930001455043.48%233514000.9612000220
8Dean KukanRocket (Mon)D7263339-20807713910443555.77%127190626.485611212800333262000%02675000.4100000011
9Luke KuninRocket (Mon)C80152338-22408040129327511.63%87098.870336540000320040.43%376189001.0700000211
10Karson KuhlmanRocket (Mon)C80162137-182359070159599310.06%1785510.700000120000204155.77%3644215000.8600001114
11Viktor LoovRocket (Mon)D8063036-94409513015255643.95%99190823.85167262790003250000%03055000.3800000102
12Andrei MironovRocket (Mon)D8032528480561209136373.30%90159920.0011241910002208000%03534000.3500000000
13Ty RattieRocket (Mon)RW5316112743604445100325416.00%1470213.251343770001231035.48%31254000.7700000011
14Jakob LiljaRocket (Mon)LW80111324-63807353102315310.78%1585410.68000150001351072.00%25158000.5600000102
15JC LiponRocket (Mon)RW80121224-6400754087185113.79%147299.12000012000003064.71%171914000.6600000101
16Raphael BussieresRocket (Mon)LW6681321-5355432076224110.53%135348.1000000000070050.00%141210000.7900001000
17Dylan DeMeloRocket (Mon)D8011718516024715723251.75%6695811.98000024000133000%01138100.3800000001
18Jack GloverRocket (Mon)D8031518916027594822206.25%3690411.3000003000017000%02229000.4000000001
19Branden TroockRocket (Mon)RW7312416-810022124992524.49%53975.440000100000311240.63%3255000.8100000022
20Mikhail MaltsevRocket (Mon)LW40628-4140115206530.00%51614.031126670001270044.44%903000.9900000010
21Francis PerronRocket (Mon)LW38246-7201752081510.00%21624.29000030000490083.33%670000.7400000000
22Ryan CollinsRocket (Mon)D46055528051912460%223477.560000000006000%0112000.2900000000
23Rasmus SandinRocket (Mon)D340331120453230%42306.770000000001000%002000.2600000000
24Damien GirouxRocket (Mon)C7000000000000%060.9500000000040050.00%20000000000000
25Reese JohnsonRocket (Mon)C7000000000000%010.160000000000000%00000000000000
26Taylor LeierRocket (Mon)LW26000000100000%0120.48000000000110020.00%50000000000000
27Zack MacEwenRocket (Mon)RW30000-300111000%0270.920000300003000%10000000000000
Team Total or Average1691337566903-1165515155216212721909147012.39%8602346313.88619916025424724711412020371150.27%5067541520240.77210002293945
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
1Eamon McAdamRocket (Mon)46201370.8604.552480401881346633520.50024329110
2Jamie PhillipsRocket (Mon)44181550.8684.162322201611220569320.20053743200
3Connor IngramRocket (Mon)20200.46716.5529008155000008000
Team Total or Average923830120.8624.43483360357258112078478080310


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary 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 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Alexis GravelRocket (Mon)G182000-01-01Yes219 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Andrei MironovRocket (Mon)D241994-01-01Yes185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Branden TroockRocket (Mon)RW241994-01-01Yes194 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Brandon PirriRocket (Mon)LW271991-01-01No183 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm975,000$4,851$0$0$No1,200,000$--------No--------
Chris BigrasRocket (Mon)D231995-01-01Yes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$4,602$0$0$No------------------
Connor IngramRocket (Mon)G211997-01-01No196 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm250,000$1,244$0$0$No250,000$--------No--------
Damien GirouxRocket (Mon)C182000-01-01Yes179 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Dean KukanRocket (Mon)D251993-01-01No192 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$4,478$0$0$No------------------
Dominic TurgeonRocket (Mon)C221996-01-01Yes200 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm900,000$4,478$0$0$No900,000$900,000$-------NoNo-------
Dylan DeMeloRocket (Mon)D251993-01-01No195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm900,000$4,478$0$0$No------------------
Eamon McAdamRocket (Mon)G241994-01-01No185 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
Francis PerronRocket (Mon)LW221996-01-01Yes178 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm550,000$2,736$0$0$No------------------
JC LiponRocket (Mon)RW251993-01-01No185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Jack GloverRocket (Mon)D221996-01-01Yes198 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Jake PivonkaRocket (Mon)C182000-01-01Yes198 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Jakob LiljaRocket (Mon)LW251993-01-01Yes196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Jamie PhillipsRocket (Mon)G251993-01-01No180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Karson KuhlmanRocket (Mon)C231995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm850,000$4,229$0$0$No850,000$850,000$-------NoNo-------
Luke KuninRocket (Mon)C211997-01-01Yes192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
MacKenzie EntwistleRocket (Mon)RW191999-01-01Yes184 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Mikhail MaltsevRocket (Mon)LW201998-01-01Yes220 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
Niklas NordgrenRocket (Mon)RW182000-01-01Yes182 Lbs5 ft8NoNoN/ANoNo2FalseFalsePro & Farm400,000$1,990$0$0$No400,000$--------No--------Link
Peter HollandRocket (Mon)C271991-01-01No194 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm975,000$4,851$0$0$No------------------
Raphael BussieresRocket (Mon)LW251993-01-01No195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Rasmus SandinRocket (Mon)D182000-01-01Yes182 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Reese JohnsonRocket (Mon)C201998-01-01Yes193 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Ryan CollinsRocket (Mon)D221996-01-01Yes204 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Scott WilsonRocket (Mon)RW261992-01-01No183 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm975,000$4,851$0$0$No------------------
Sergey TolchinskyRocket (Mon)LW231995-01-01Yes185 Lbs5 ft7NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Taylor LeierRocket (Mon)LW241994-01-01Yes174 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm450,000$2,239$0$0$No450,000$--------No--------
Troy TerryRocket (Mon)RW211997-01-01Yes180 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm700,000$3,483$0$0$No800,000$900,000$-------NoNo-------
Ty RattieRocket (Mon)RW251993-01-01No190 Lbs6 ft0NoNoN/ANoYes1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Viktor LoovRocket (Mon)D261992-01-01No181 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm900,000$4,478$0$0$No------------------
Zack MacEwenRocket (Mon)RW221996-01-01Yes205 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm600,000$2,985$0$0$No600,000$600,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3422.59191 Lbs6 ft11.56636,765$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brandon PirriDominic TurgeonScott Wilson40122
2Sergey TolchinskyPeter HollandTy Rattie30122
3Jakob LiljaKarson KuhlmanTroy Terry20122
4Raphael BussieresLuke KuninJC Lipon10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Chris BigrasViktor Loov40122
2Andrei MironovDylan DeMelo30122
3Jack GloverRyan Collins20122
4Rasmus SandinChris Bigras10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brandon PirriDominic TurgeonScott Wilson60122
2Sergey TolchinskyPeter HollandTy Rattie40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Chris BigrasViktor Loov60122
2Andrei MironovDylan DeMelo40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Brandon PirriDominic Turgeon60122
2Scott WilsonPeter Holland40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Chris BigrasViktor Loov60122
2Andrei MironovDylan DeMelo40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Brandon Pirri60122Chris BigrasViktor Loov60122
2Dominic Turgeon40122Andrei MironovDylan DeMelo40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Brandon PirriDominic Turgeon60122
2Scott WilsonPeter Holland40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Chris BigrasViktor Loov60122
2Andrei MironovDylan DeMelo40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brandon PirriDominic TurgeonScott WilsonChris BigrasViktor Loov
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brandon PirriDominic TurgeonScott WilsonChris BigrasViktor Loov
Extra Forwards
Normal PowerPlayPenalty Kill
Mikhail Maltsev, Francis Perron, Branden TroockMikhail Maltsev, Francis PerronBranden Troock
Extra Defensemen
Normal PowerPlayPenalty Kill
Jack Glover, Ryan Collins, Rasmus SandinJack GloverRyan Collins, Rasmus Sandin
Penalty Shots
Brandon Pirri, Dominic Turgeon, Scott Wilson, Peter Holland, Karson Kuhlman
Goalie
#1 : Jamie Phillips, #2 : Eamon McAdam
Custom OT Lines Forwards
Brandon Pirri, Dominic Turgeon, Scott Wilson, Peter Holland, Karson Kuhlman, Sergey Tolchinsky, Sergey Tolchinsky, Ty Rattie, Troy Terry, Jakob Lilja, Raphael Bussieres
Custom OT Lines Defensemen
Chris Bigras, Viktor Loov, Andrei Mironov, Dylan DeMelo, Jack Glover


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
1Admirals32001000141132100100011921100000032161.0001423370010113511141069229968542397392852700.00%14192.86%0959190850.26%919182750.30%707138750.97%1753100116677391419707
2Americans431000001917211000000431321000001514160.7501931500010113511141309229968542313442308312325.00%15286.67%0959190850.26%919182750.30%707138750.97%1753100116677391419707
3Barracuda622001012228-6321000001293301001011019-960.50022375900101135111421592299685423185707712121523.81%33681.82%0959190850.26%919182750.30%707138750.97%1753100116677391419707
4Bears3120000013121211000008621010000056-120.333132235001011351114115922996854231053626539222.22%13376.92%0959190850.26%919182750.30%707138750.97%1753100116677391419707
5Canucks32100000151141010000057-222000000104640.6671524391010113511149192299685423974136658450.00%18194.44%0959190850.26%919182750.30%707138750.97%1753100116677391419707
6Checkers211000001112-11010000048-41100000074320.5001117280010113511148292299685423692418366116.67%9188.89%2959190850.26%919182750.30%707138750.97%1753100116677391419707
7Comets21100000990110000006331010000036-320.500916250010113511148092299685423752318358112.50%9277.78%0959190850.26%919182750.30%707138750.97%1753100116677391419707
8Condors633000002427-33210000012120312000001215-360.50024396300101135111419592299685423174676312431825.81%29968.97%1959190850.26%919182750.30%707138750.97%1753100116677391419707
9Crunch220000001257110000006421100000061541.0001220320010113511148892299685423522314425120.00%7185.71%0959190850.26%919182750.30%707138750.97%1753100116677391419707
10Eagles2020000037-41010000024-21010000013-200.0003690010113511145792299685423671314529111.11%7357.14%0959190850.26%919182750.30%707138750.97%1753100116677391419707
11Griffins613002002431-73100020013130303000001118-740.33324406400101135111418892299685423214634211030723.33%21385.71%0959190850.26%919182750.30%707138750.97%1753100116677391419707
12Icehogs3210000018162211000001213-11100000063340.667182846101011351114104922996854239535165317635.29%8187.50%0959190850.26%919182750.30%707138750.97%1753100116677391419707
13Islander20200000615-91010000049-51010000026-400.000611170010113511147392299685423621510441200.00%440.00%0959190850.26%919182750.30%707138750.97%1753100116677391419707
14Little Stars32001000151052200000011741000100043161.00015213600101135111411392299685423893524541218.33%12375.00%0959190850.26%919182750.30%707138750.97%1753100116677391419707
15Marlies330000001284110000004312200000085361.000122133001011351114104922996854238832206512216.67%10190.00%0959190850.26%919182750.30%707138750.97%1753100116677391419707
16Moose614000012834-6311000011516-1303000001318-530.25028447210101135111419692299685423206696011330723.33%29775.86%0959190850.26%919182750.30%707138750.97%1753100116677391419707
17Penguins2100010013121110000007521000010067-130.7501323360010113511148292299685423651614415240.00%7357.14%1959190850.26%919182750.30%707138750.97%1753100116677391419707
18Phantoms311001001113-21100000052320100100611-530.500111728001011351114114922996854238829247311218.18%12375.00%0959190850.26%919182750.30%707138750.97%1753100116677391419707
19Punishers2110000011110110000009451010000027-520.5001118290010113511147892299685423652117376466.67%70100.00%2959190850.26%919182750.30%707138750.97%1753100116677391419707
20Reign302010001215-3100010007612020000059-420.33312203210101135111410492299685423993030731100.00%15566.67%0959190850.26%919182750.30%707138750.97%1753100116677391419707
21Senators4300000121183220000001073210000011111070.875213455001011351114145922996854231475938681516.67%19478.95%0959190850.26%919182750.30%707138750.97%1753100116677391419707
22Silver Knights21000100981110000007521000010023-130.750917260010113511146092299685423627124210220.00%6183.33%0959190850.26%919182750.30%707138750.97%1753100116677391419707
23Thunderbirds32100000121202110000079-21100000053240.66712203200101135111499922996854238428145614214.29%7185.71%0959190850.26%919182750.30%707138750.97%1753100116677391419707
24Wolfpack2010010047-31010000024-21000010023-110.25046100010113511146592299685423651512281100.00%6266.67%0959190850.26%919182750.30%707138750.97%1753100116677391419707
25Wranglers301002001215-32010010068-21000010067-120.3331220320010113511141039229968542310135185414214.29%9188.89%0959190850.26%919182750.30%707138750.97%1753100116677391419707
Total80353003903350364-14402212023011891761340131801602161188-27880.550350575925401011351114278792299685423258586767515743266419.63%3266879.14%6959190850.26%919182750.30%707138750.97%1753100116677391419707
_Since Last GM Reset80353003903350364-14402212023011891761340131801602161188-27880.550350575925401011351114278792299685423258586767515743266419.63%3266879.14%6959190850.26%919182750.30%707138750.97%1753100116677391419707
_Vs Conference50211802603217233-162413502301111101102681300302106132-26550.55021735457130101135111417049229968542316285704469892114320.38%2144379.91%1959190850.26%919182750.30%707138750.97%1753100116677391419707
_Vs Division247120030298120-22126300201525021219001014670-24190.39698160258101011351114794922996854237792692424681122724.11%1122577.68%1959190850.26%919182750.30%707138750.97%1753100116677391419707

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8088L135057592527872585867675157440
All Games
GPWLOTWOTL SOWSOLGFGA
8035303903350364
Home Games
GPWLOTWOTL SOWSOLGFGA
4022122301189176
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4013181602161188
Last 10 Games
WLOTWOTL SOWSOL
530200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3266419.63%3266879.14%6
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
922996854231011351114
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
959190850.26%919182750.30%707138750.97%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1753100116677391419707


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
29Moose6Rocket5LXXBoxScore
528Condors4Rocket5WR1BoxScore
843Rocket4Americans1WBoxScore
1055Griffins3Rocket5WR1BoxScore
1370Rocket4Barracuda11LBoxScore
1579Barracuda2Rocket3WR1BoxScore
1687Rocket6Moose7LBoxScore
19106Condors3Rocket5WR1BoxScore
21114Rocket3Condors5LBoxScore
23126Rocket3Griffins7LR1BoxScore
26140Rocket4Marlies2WBoxScore
28149Barracuda3Rocket2LR1BoxScore
31168Bears2Rocket5WBoxScore
33179Rocket2Reign3LBoxScore
35187Rocket3Barracuda4LXR1BoxScore
37197Thunderbirds4Rocket1LBoxScore
40212Rocket5Thunderbirds3WBoxScore
42221Rocket2Condors6LR1BoxScore
44231Phantoms2Rocket5WBoxScore
46245Rocket7Checkers4WBoxScore
48252Senators5Rocket7WBoxScore
53274Admirals4Rocket5WXBoxScore
55286Rocket2Silver Knights3LXBoxScore
60303Americans3Rocket4WBoxScore
62316Rocket3Comets6LBoxScore
63327Icehogs6Rocket7WBoxScore
67347Penguins5Rocket7WBoxScore
70368Canucks7Rocket5LBoxScore
72378Rocket4Little Stars3WXBoxScore
75396Bears4Rocket3LBoxScore
77404Rocket3Reign6LBoxScore
81420Silver Knights5Rocket7WBoxScore
83430Rocket3Barracuda4LXXR1BoxScore
86450Wolfpack4Rocket2LBoxScore
90470Checkers8Rocket4LBoxScore
93486Rocket5Senators4WBoxScore
95496Rocket3Moose4LBoxScore
96503Reign6Rocket7WXBoxScore
99520Rocket2Phantoms6LBoxScore
100528Griffins6Rocket5LXR1BoxScore
103541Rocket6Wranglers7LXBoxScore
105553Comets3Rocket6WBoxScore
108567Rocket6Senators7LXXBoxScore
111579Rocket6Crunch1WBoxScore
112586Senators2Rocket3WBoxScore
115603Rocket2Islander6LBoxScore
116611Barracuda4Rocket7WR1BoxScore
119625Rocket2Punishers7LBoxScore
121636Thunderbirds5Rocket6WBoxScore
123649Rocket6Griffins7LR1BoxScore
125661Icehogs7Rocket5LBoxScore
127671Rocket2Griffins4LR1BoxScore
129683Rocket2Wolfpack3LXBoxScore
131691Crunch4Rocket6WBoxScore
133706Rocket3Admirals2WBoxScore
135714Rocket4Moose7LBoxScore
136722Punishers4Rocket9WBoxScore
140742Islander9Rocket4LBoxScore
142754Rocket6Icehogs3WBoxScore
143767Rocket5Bears6LBoxScore
145774Moose4Rocket6WBoxScore
147792Eagles4Rocket2LBoxScore
149798Rocket4Marlies3WBoxScore
151808Rocket6Americans10LBoxScore
154824Griffins4Rocket3LXR1BoxScore
156834Rocket1Eagles3LBoxScore
158841Rocket6Penguins7LXBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
160852Marlies3Rocket4WBoxScore
166878Admirals5Rocket6WBoxScore
169892Rocket7Condors4WR1BoxScore
171903Condors5Rocket2LBoxScore
173916Rocket5Americans3WBoxScore
175927Wranglers4Rocket3LXBoxScore
176934Rocket4Phantoms5LXBoxScore
180953Rocket4Canucks1WBoxScore
181960Wranglers4Rocket3LBoxScore
184980Little Stars4Rocket6WBoxScore
1901005Little Stars3Rocket5WBoxScore
1911012Rocket6Canucks3WBoxScore
1981030Moose6Rocket4LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance74,03437,349
Attendance PCT92.54%93.37%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2785 - 92.82% 175,254$7,010,158$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
3,056,695$ 2,750,000$ 2,675,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
13,682$ 2,555,492$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 16,169$ 16,169$




Rocket 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

Rocket Goalies Stat Leaders (Regular Season)

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

Rocket 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

Rocket 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

Rocket Goalies Stat Leaders (Play-Off)

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