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Stars
GP: 82 | W: 43 | L: 33 | OTL: 6 | P: 92
GF: 267 | GA: 277 | PP%: 18.10% | PK%: 79.25%
GM : Guillaume Blanchet | Morale : 78 | Team Overall : 68

Game Center
Canucks
33-43-6, 72pts
3
4 Stars
43-33-6, 92pts
Team Stats
W2StreakL1
16-21-4Home Record24-17-0
17-22-2Home Record19-16-6
5-4-1Last 10 Games3-6-1
2.99Goals Per Game3.26
3.50Goals Against Per Game3.38
14.00%Power Play Percentage18.10%
78.69%Penalty Kill Percentage79.25%
Ducks
45-33-4, 94pts
7
3 Stars
43-33-6, 92pts
Team Stats
W1StreakL1
23-15-3Home Record24-17-0
22-18-1Home Record19-16-6
7-3-0Last 10 Games3-6-1
3.27Goals Per Game3.26
3.18Goals Against Per Game3.38
17.11%Power Play Percentage18.10%
86.97%Penalty Kill Percentage79.25%
Team Leaders
Goals
Cole Caufield
35
Assists
Cody Glass
49
Points
Cole Caufield
79
Plus/Minus
Gavin Bayreuther
21
Wins
Kaapo Kähkönen
34
Save Percentage
Kaapo Kähkönen
0.893

Team Stats
Goals For
267
3.26 GFG
Shots For
2547
31.06 Avg
Power Play Percentage
18.1%
42 GF
Offensive Zone Start
37.6%
Goals Against
277
3.38 GAA
Shots Against
2508
30.59 Avg
Penalty Kill Percentage
79.2%%
44 GA
Defensive Zone Start
38.2%
Team Info

General ManagerGuillaume Blanchet
CoachMike Yeo
DivisionCentrale
ConferenceOuest
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,984
Season Tickets2,850


Roster Info

Pro Team38
Farm Team19
Contract Limit57 / 68
Prospects26


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
1Cole Caufield (R)X100.0071409395738785915086957125937159798002522,500,000$
2Cody Glass (R)X100.0070409176777583947590857825847148777702711,500,000$
3J.J. Peterka (R)X100.006840768781888388508384682585665479762241855,833$
4Cole Perfetti (R)X100.0073409089798683864980797225856654797502432,000,000$
5Marco Kasper (R)X100.007740768880868084697679712584614974740223886,667$
6Tyson Jost (R)X100.0075488177728085786278697825858957797302821,500,000$
7Joel Kiviranta (R)X100.007940908474848676506776752580766469720301800,000$
8Jonatan Berggren (R)X100.005434988174667388448183662586624280722251925,000$
9Maxime Comtois (R)X100.0073735073787483795481786325838049787102731,250,000$
10Laurent Dauphin (R)X100.005528937371787863836361862578905979680313800,000$
11Aatu Räty (R)X100.007340807582827069886467652572614921661231863,667$
12Michael RafflX100.005627976374607851826054747599994974630373575,000$
13Sean Walker (R)X100.0078496885737984834076729125857857527703133,000,000$
14Henri Jokiharju (R)X100.0076537677768185814079737925817858787402632,000,000$
15Artyom Zub (R)X100.0082546478778979754073668525806848517403011,500,000$
16Nick Perbix (R)X100.007240907583838077407371762580614978722271842,500$
17Gavin Bayreuther (R)X100.007765667475798070406860732583824778700322900,000$
18Mark Friedman (R)X100.006046887472857568406161722576785146680301700,000$
Scratches
1Kristian Vesalainen (R)X100.006028996677598463166861592574767019620263575,000$
2Taylor BeckX100.005441736277476477426566476799992119620352575,000$
3Marian Studenic (R)X100.005734817268626562357166682570564920620273575,000$
4Matej Blumel (R)X100.006142717164676570456569622570535020620253775,000$
5Juha Jaaska (R)X100.006245757182776066556460642566515020620283850,000$
6Devin Kaplan (R)X100.005540757284836065406060602566515019610223921,667$
7Benoit-Olivier Groulx (R)X100.006542797076627061655655612570614519600263575,000$
8Vitali Kravtsov (R)X100.005224997573727554324848662574644919580262575,000$
9Brandon Gignac (R)X100.005136767167636556795651612565554919570282575,000$
10Marcus Bjork (R)X100.006047627378816564406159722576574442652281925,000$
11Jack Rathbone (R)X100.005740727168696467407471652570594320640262575,000$
12Artyom Levshunov (R)X100.005840757287876067406660612566515020630203975,000$
13Libor Hajek (R)X100.005537756376656960406257672574756719620283575,000$
14Cam Dineen (R)X100.005542727160696767406560682566555019620273575,000$
15Logan Mailloux (R)X100.006749606670646266406264682565505019612232875,000$
16Ryan Merkley (R)X100.007164866972667051253333593849494820570253575,000$
17Daniil Misyul (R)X100.005447626562666458405452592558525019570253867,500$
TEAM AVERAGE100.00654379747574747149686669287667514667
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
1Kaapo Kähkönen (R)100.008287888585999999998769887158808802912,500,000$
2Erik Kallgren (R)99.00817270807791919191802579654480801291750,000$
Scratches
1Matt Villalta (R)100.00736773657176807478724062564720702262775,000$
TEAM AVERAGE99.6779757777788990888980457664506079
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Yeo8169777564591CAN5131,000,000$


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
1Cole CaufieldStars (DAL)RW81354479-8951361153029818811.59%28171421.161212244120910181937243.56%4279038010.9204010768
2Cody GlassStars (DAL)RW692749761312101051182476512610.93%29136619.8138112113102231604260.61%994225001.1114110726
3Cole PerfettiStars (DAL)C80313970-1416101301432196812314.16%39148618.5851520161770111434340.83%16415723010.9411110264
4J.J. PeterkaStars (DAL)LW78292958-8415174922107111813.81%48155819.986612332051019916136.80%1255722000.7403100494
5Tyson JostStars (DAL)LW821733501041516997142358111.97%40149918.2911011111660000424151.11%902325000.6711010131
6Marco KasperStars (DAL)C7725244922751321322245513611.16%24113714.772021076000092549.66%10294316000.8600001233
7William EklundStarsC47182846630208288110467916.36%1389619.075914101121015533243.30%9703215001.0301013334
8Jonatan BerggrenStars (DAL)RW821728452004271221671317.69%18110913.530003400002152333.87%625512000.8100000022
9Joel KivirantaStars (DAL)LW82181735-17510974124459314.52%2094411.520000110001204251.79%563817000.7400100123
10Henri JokiharjuStars (DAL)D8252934-16622015113410249404.90%101191323.33437162280000189000%02059100.3600022001
11Maxime ComtoisStars (DAL)LW82151631-1143511643148529110.14%157909.64000060000322138.64%443117000.7800001212
12Sean WalkerStars (DAL)D5832528-26610135948127433.70%65131322.64246101690111119110%01843000.4300011102
13Nick PerbixStars (DAL)D8232225-171351001178041233.75%94174421.2701171510002135010%01549000.2900010031
14Laurent DauphinStars (DAL)C82111021100389767275916.42%1982510.07000050000271053.88%4771315000.5100000110
15Artyom ZubStars (DAL)D7931619-22115351871318136323.70%92167021.15224101540002120100%01048000.2300016002
16Mark FriedmanStars (DAL)D6411314146037643920282.56%68106216.60000014000046000%0635000.2600000000
17Gavin BayreutherStars (DAL)D781101121675162754518282.22%83136417.50000043000040000%0840000.1600010001
18Michael RafflStars (DAL)RW82459-700274836102111.11%136708.1700006000001044.44%18214000.2700000001
19Marcus BjorkStars (DAL)D382461022032311991010.53%3561516.1900002011033000%0620000.2000000100
20Aatu RätyStars (DAL)C39145-60022283713202.70%23077.8800000000000055.46%11956000.3300000000
21Jack RathboneStars (DAL)D11022-34014138720%718516.900000000008000%022000.2200000000
22Kristian VesalainenStars (DAL)LW1000000000000%022.120000000000000%00000000000000
23Libor HajekStars (DAL)D1000000000000%044.670000000000000%00000000000000
24Taylor BeckStars (DAL)RW1000000000000%000.330000000000000%00000000000000
25Benoit-Olivier GroulxStars (DAL)C3000100300020%0134.3600000000000075.00%40000000000000
26Marian StudenicStars (DAL)LW4000100313150%04010.1500000000000050.00%180100000000000
27Juha JaaskaStars (DAL)RW13000-5609102200%1896.890000000000000%01100000000000
Team Total or Average1478266447713-39587145211518162547862147910.44%8542432616.4642701121881915358341386422445.36%5179574543120.5931441114324145
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
1Kaapo KähkönenStars (DAL)70342840.8933.2538791212101966769830.700106616342
2Erik KallgrenStars (DAL)269520.8873.451062016153921600021666110
Team Total or Average96433360.8923.294941122271250598583128282452


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Aatu RätyStars (DAL)C232002-11-14FINYes190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm863,667$4,406$0$0$No---------------------------
Artyom LevshunovStars (DAL)D202005-10-28BLRYes208 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-21FalseFalsePro & Farm975,000$4,974$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Artyom ZubStars (DAL)D301995-10-03RUSYes204 Lbs6 ft3NoNoN/ANoNo12024-09-18FalseFalsePro & Farm1,500,000$7,653$0$0$No---------------------------
Benoit-Olivier GroulxStars (DAL)C262000-02-06CANYes198 Lbs6 ft2NoNoN/ANoNo32025-08-30FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Brandon GignacStars (DAL)C281997-11-07CANYes185 Lbs5 ft11NoNoTrade2024-12-22NoNo22024-08-24FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Cam DineenStars (DAL)D271998-06-19USAYes183 Lbs5 ft11NoNoTrade2024-12-22NoNo32025-08-30FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Cody GlassStars (DAL)RW271999-04-01CANYes206 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$7,653$0$0$No---------------------------
Cole CaufieldStars (DAL)RW252001-01-02USAYes175 Lbs5 ft8NoNoN/ANoNo22024-09-18FalseFalsePro & Farm2,500,000$12,755$0$0$No2,500,000$-----------------No--------
Cole PerfettiStars (DAL)C242002-01-01CANYes185 Lbs5 ft11NoNoN/ANoNo32025-08-30FalseFalsePro & Farm2,000,000$10,204$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------
Daniil MisyulStars (DAL)D252000-10-20RUSYes176 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-21FalseFalsePro & Farm867,500$4,426$0$0$No867,500$867,500$-------867,500$867,500$-------NoNo-------
Devin KaplanStars (DAL)RW222004-01-10USAYes199 Lbs6 ft2NoNoAssign ManuallyNoNo32025-09-21FalseFalsePro & Farm921,667$4,702$0$0$No921,667$921,667$-------921,667$921,667$-------NoNo-------
Erik KallgrenStars (DAL)G291996-10-14SWEYes200 Lbs6 ft3NoNoTrade2024-12-22NoNo1FalseFalsePro & Farm750,000$3,827$0$0$No---------------------------
Gavin BayreutherStars (DAL)D321994-05-12USAYes196 Lbs6 ft1NoNoN/ANoNo22024-09-18FalseFalsePro & Farm900,000$4,592$0$0$No900,000$-----------------No--------
Henri JokiharjuStars (DAL)D261999-06-17FINYes200 Lbs6 ft0NoNoN/ANoNo32025-08-30FalseFalsePro & Farm2,000,000$10,204$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------
J.J. PeterkaStars (DAL)LW242002-01-14DEUYes189 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm855,833$4,366$0$0$No---------------------------
Jack RathboneStars (DAL)D261999-05-20USAYes176 Lbs5 ft10NoNoN/ANoNo22024-09-18FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Joel KivirantaStars (DAL)LW301996-03-23FINYes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$4,082$0$0$No---------------------------
Jonatan BerggrenStars (DAL)RW252000-07-16SWEYes197 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$4,719$0$0$No---------------------------
Juha JaaskaStars (DAL)RW281998-02-09FINYes210 Lbs6 ft0NoNoAssign ManuallyNoNo32025-10-11FalseFalsePro & Farm850,000$4,337$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------
Kaapo KähkönenStars (DAL)G291996-08-16FINYes217 Lbs6 ft2NoNoN/ANoNo12024-09-18FalseFalsePro & Farm2,500,000$12,755$0$0$No---------------------------
Kristian VesalainenStars (DAL)LW261999-06-01FINYes207 Lbs6 ft4NoNoTrade2024-01-26NoNo32025-08-30FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Laurent DauphinStars (DAL)C311995-03-27CANYes186 Lbs6 ft0NoNoN/ANoNo32025-08-30FalseFalsePro & Farm800,000$4,082$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Libor HajekStars (DAL)D281998-02-04CZEYes205 Lbs6 ft3NoNoN/ANoNo32025-08-30FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Logan MaillouxStars (DAL)D232003-04-15CANYes212 Lbs6 ft3NoNoAssign ManuallyNoNo22024-08-24FalseFalsePro & Farm875,000$4,464$0$0$No875,000$--------875,000$--------No--------
Marco KasperStars (DAL)C222004-04-08AUTYes183 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-21FalseFalsePro & Farm886,667$4,524$0$0$No886,667$886,667$-------886,667$886,667$-------NoNo-------
Marcus BjorkStars (DAL)D281997-11-24SWEYes211 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm925,000$4,719$0$0$No---------------------------
Marian StudenicStars (DAL)LW271998-10-28SVKYes178 Lbs6 ft1NoNoN/ANoNo32025-08-30FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Mark FriedmanStars (DAL)D301995-12-25CANYes185 Lbs5 ft11NoNoN/ANoNo12025-08-30FalseFalsePro & Farm700,000$3,571$0$0$No---------------------------
Matej BlumelStars (DAL)LW252000-05-31CZEYes198 Lbs6 ft0NoNoAssign ManuallyNoNo32025-10-03FalseFalsePro & Farm775,000$3,954$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Matt VillaltaStars (DAL)G261999-06-03CANYes190 Lbs6 ft4NoNoAssign ManuallyNoNo22024-08-24FalseFalsePro & Farm775,000$3,954$0$0$No775,000$--------775,000$--------No--------
Maxime ComtoisStars (DAL)LW271999-01-08CANYes210 Lbs6 ft2NoNoN/ANoNo32025-08-30FalseFalsePro & Farm1,250,000$6,378$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Michael RafflStars (DAL)RW371988-12-01AUSNo200 Lbs6 ft0NoNoTrade2025-10-11NoNo32025-09-19FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Nick PerbixStars (DAL)D271998-06-15USAYes206 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm842,500$4,298$0$0$No---------------------------
Ryan MerkleyStars (DAL)D252000-08-14CANYes185 Lbs6 ft0NoNoN/ANoNo32025-08-30FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Sean WalkerStars (DAL)D311994-11-13CANYes191 Lbs5 ft11NoNoN/ANoNo32025-08-30FalseFalsePro & Farm3,000,000$15,306$0$0$No3,000,000$3,000,000$-------3,000,000$9,000,000$-------NoNo-------
Taylor BeckStars (DAL)RW351991-05-13CANNo210 Lbs6 ft2NoNoTrade2024-12-22NoNo22024-10-06FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Tyson JostStars (DAL)LW281998-03-14CANYes187 Lbs5 ft11NoNoN/ANoNo22024-09-18FalseFalsePro & Farm1,500,000$7,653$0$0$No1,500,000$-----------------No--------
Vitali KravtsovStars (DAL)RW261999-12-23RUSYes186 Lbs6 ft3NoNoN/ANoNo22024-09-18FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3827.05195 Lbs6 ft12.181,035,864$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1J.J. PeterkaCole PerfettiCole Caufield35122
2Tyson JostMarco KasperCody Glass35122
3Joel KivirantaLaurent DauphinJonatan Berggren25122
4Maxime ComtoisAatu RätyMichael Raffl5122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sean WalkerHenri Jokiharju35122
2Artyom ZubNick Perbix35122
3Gavin BayreutherMark Friedman30122
4Sean WalkerHenri Jokiharju0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1J.J. PeterkaCole PerfettiCole Caufield60122
2Tyson JostMarco KasperCody Glass40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Sean WalkerHenri Jokiharju60122
2Artyom ZubNick Perbix40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Cole CaufieldCody Glass60122
2J.J. PeterkaCole Perfetti40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Sean WalkerHenri Jokiharju60122
2Artyom ZubNick Perbix40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Cole Caufield60122Sean WalkerHenri Jokiharju60122
2Cody Glass40122Artyom ZubNick Perbix40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Cole CaufieldCody Glass60122
2J.J. PeterkaCole Perfetti40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sean WalkerHenri Jokiharju60122
2Artyom ZubNick Perbix40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
J.J. PeterkaCole PerfettiCole CaufieldSean WalkerHenri Jokiharju
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
J.J. PeterkaCole PerfettiCole CaufieldSean WalkerHenri Jokiharju
Extra Forwards
Normal PowerPlayPenalty Kill
Joel Kiviranta, Jonatan Berggren, Maxime ComtoisJoel Kiviranta, Jonatan BerggrenMaxime Comtois
Extra Defensemen
Normal PowerPlayPenalty Kill
Gavin Bayreuther, Mark Friedman, Artyom ZubGavin BayreutherMark Friedman, Artyom Zub
Penalty Shots
Cole Caufield, Cody Glass, J.J. Peterka, Cole Perfetti, Marco Kasper
Goalie
#1 : Erik Kallgren, #2 : Kaapo Kähkönen
Custom OT Lines Forwards
Cole Caufield, Cody Glass, J.J. Peterka, Cole Perfetti, Marco Kasper, Tyson Jost, Joel Kiviranta, Jonatan Berggren, Maxime Comtois, Laurent Dauphin
Custom OT Lines Defensemen
Sean Walker, Henri Jokiharju, Artyom Zub, Nick Perbix, Gavin Bayreuther


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
OverallHome Visitor
# 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 RI
1Avalanche843000012630-43210000012120522000011418-490.563264268007389988242850834840362347313922727622.22%37586.49%0894193746.15%881196744.79%574124446.14%1805107817657051378697R5
2Blackhawks640011001910933000000103731001100972110.91719325101738998818185083484036166623016520315.00%15380.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
3Blues6420000024231321000001011-1321000001412280.667243963007389988197850834840361955848168301136.67%19573.68%0894193746.15%881196744.79%574124446.14%1805107817657051378697R5
4Bruins22000000624110000002021100000042241.0006111701738998872850834840365931447300.00%20100.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
5Canadiens20101000440100010003211010000012-120.500471100738998857850834840366325251200.00%10100.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
6Canucks4200110017143210010009722100010087170.8751729460073899881408508348403611840229213430.77%11372.73%0894193746.15%881196744.79%574124446.14%1805107817657051378697R2
7Capitals21000001871110000004221000000145-130.75081220007389988628508348403669144534125.00%2150.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
8Devils2010010058-31010000024-21000010034-110.250510150073899886685083484036581515543133.33%5340.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
9Ducks532000001821-332100000121202110000069-360.60018314900738998814585083484036170503211412216.67%11281.82%0894193746.15%881196744.79%574124446.14%1805107817657051378697R2
10Flames41101010131122010001057-22100100084460.75013203300738998813285083484036127481898600.00%9188.89%0894193746.15%881196744.79%574124446.14%1805107817657051378697R2
11Flyers2010000147-31010000024-21000000123-110.250461000738998867850834840366619254400.00%10100.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
12Islanders201010005501010000023-11000100032120.500561100738998862850834840367117846300.00%4175.00%1894193746.15%881196744.79%574124446.14%1805107817657051378697
13Kings40400000920-1120200000510-520200000410-600.000915240073899881238508348403611845269517211.76%13561.54%0894193746.15%881196744.79%574124446.14%1805107817657051378697R2
14Maple Leafs220000001073110000005321100000054141.00010172700738998870850834840366332949300.00%20100.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
15Oilers413000001214-2211000007702020000057-220.2501223350073899881098508348403612344539512216.67%14564.29%0894193746.15%881196744.79%574124446.14%1805107817657051378697R2
16Penguins3210000011101211000008801100000032140.66711182910738998892850834840369536679200.00%30100.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
17Predators615000001422-830300000310-7312000001112-120.16714223620738998817085083484036167549517734514.71%25772.00%1894193746.15%881196744.79%574124446.14%1805107817657051378697R5
18Rangers211000007521010000012-11100000063320.5007111800738998861850834840366929639300.00%30100.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
19Red Wings21100000642110000004131010000023-120.5006101600738998869850834840365620063600.00%000%0894193746.15%881196744.79%574124446.14%1805107817657051378697
20Sabres21100000880110000005321010000035-220.5008132100738998873850834840367218435100.00%20100.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
21Senateurs211000008801010000056-11100000032120.5008142200738998857850834840367722833100.00%40100.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697
22Sharks422000001720-321100000911-22110000089-140.500173047007389988133850834840361274126977114.29%8275.00%0894193746.15%881196744.79%574124446.14%1805107817657051378697R2
23Wild632010001617-13200100085331200000812-480.66716294500738998816785083484036145614218419421.05%21195.24%1894193746.15%881196744.79%574124446.14%1805107817657051378697
Total82363306313267277-1041201703010133133041161603303134144-10920.561267447714327389988254785083484036250885459921152324218.10%2124479.25%3894193746.15%881196744.79%574124446.14%1805107817657051378697
_Since Last GM Reset82363306313267277-1041201703010133133041161603303134144-10920.561267447714327389988254785083484036250885459921152324218.10%2124479.25%3894193746.15%881196744.79%574124446.14%1805107817657051378697
_Vs Conference57252404211185202-17281411020109095-52911130220195107-12630.553185312497217389988173985083484036169057653115121974020.30%1833978.69%2894193746.15%881196744.79%574124446.14%1805107817657051378697
_Vs Division3216120210199102-3159501000434121777011015661-5380.59499164263217389988957850834840369073083549211302922.31%1172182.05%2894193746.15%881196744.79%574124446.14%1805107817657051378697

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8292L126744771425472508854599211532
All Games
GPWLOTWOTL SOWSOLGFGA
8236336313267277
Home Games
GPWLOTWOTL SOWSOLGFGA
4120173010133133
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4116163303134144
Last 10 Games
WLOTWOTL SOWSOL
360100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2324218.10%2124479.25%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
850834840367389988
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
894193746.15%881196744.79%574124446.14%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1805107817657051378697


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
14Stars2Avalanche3LXXR5Box score
416Predators4Stars1LBox score
626Stars5Blues2WR5Box score
838Blackhawks0Stars2WBox score
1046Stars1Predators6LR5Box score
1153Stars1Avalanche2LR5Box score
1470Stars4Blackhawks2WBox score
1572Wild1Stars2WR5Box score
1991Blues3Stars4WBox score
2099Stars2Avalanche6LR5Box score
24115Stars3Wild2WBox score
25120Ducks3Stars5WR2Box score
28136Stars3Wild6LR5Box score
30143Avalanche8Stars3LR5Box score
31153Stars2Oilers3LBox score
34166Blues2Stars4WR5Box score
38186Stars3Canucks4LXR2Box score
40191Blackhawks2Stars3WBox score
42209Avalanche2Stars5WR5Box score
43216Stars4Avalanche3WBox score
46230Stars3Sabres5LBox score
48238Penguins5Stars3LBox score
50249Stars2Flyers3LXXBox score
52256Stars7Predators2WR5Box score
54264Red Wings1Stars4WBox score
56279Stars5Canucks3WR2Box score
58287Sabres3Stars5WBox score
60295Stars5Maple Leafs4WBox score
62311Maple Leafs3Stars5WBox score
64323Stars3Oilers4LR2Box score
65332Stars1Kings6LR2Box score
67340Rangers2Stars1LBox score
70356Stars3Flames2WXR2Box score
71360Penguins3Stars5WBox score
76383Flyers4Stars2LBox score
78394Stars3Blues5LR5Box score
80405Predators3Stars1LBox score
83422Stars3Islanders2WXBox score
84429Blues6Stars2LR5Box score
90452Ducks2Stars4WR2Box score
94471Devils4Stars2LBox score
96479Stars3Kings4LR2Box score
100500Predators3Stars1LBox score
102511Stars3Penguins2WBox score
104520Wild1Stars2WR5Box score
106536Stars5Flames2WR2Box score
107545Bruins0Stars2WBox score
109556Stars2Red Wings3LBox score
111568Sharks7Stars3LR2Box score
113577Stars3Senateurs2WBox score
115589Stars4Bruins2WBox score
116597Oilers3Stars4WR2Box score
121618Kings3Stars2LR2Box score
124637Senateurs6Stars5LBox score
127651Stars3Sharks6LR2Box score
129658Capitals2Stars4WBox score
131669Stars4Capitals5LXXBox score
133683Stars6Blues5WR5Box score
134688Wild3Stars4WXR5Box score
137701Stars6Rangers3WBox score
140713Oilers4Stars3LR2Box score
143730Stars3Predators4LR5Box score
144737Sharks4Stars6WR2Box score
147749Stars5Avalanche4WBox score
149761Flames2Stars3WXXR2Box score
152779Stars5Ducks4WBox score
Trade Deadline --- Trades can’t be done after this day is simulated!
153786Kings7Stars3LR2Box score
156801Stars3Blackhawks2WXBox score
158809Blackhawks1Stars5WR5Box score
160825Stars2Blackhawks3LXBox score
162832Canucks4Stars5WR2Box score
164843Stars5Sharks3WR2Box score
166854Flames5Stars2LBox score
168864Stars3Devils4LXBox score
171875Stars2Wild4LR5Box score
173888Islanders3Stars2LBox score
177908Canadiens2Stars3WXBox score
178915Stars1Canadiens2LBox score
181927Stars1Ducks5LR2Box score
182936Avalanche2Stars4WR5Box score
186956Canucks3Stars4WXBox score
193979Ducks7Stars3LR2Box score



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3525
Attendance81,66440,688
Attendance PCT99.59%99.24%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2984 - 99.47% 127,606$5,231,842$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
4,828,885$ 3,936,284$ 3,936,284$ 1,000,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 3,833,982$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 25,185$ 25,185$




Stars 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

Stars Goalies Stat Leaders (Regular Season)

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

Stars 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

Stars 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

Stars Goalies Stat Leaders (Play-Off)

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