Please rotate your device to landscape mode for a better experience.
Login

Carolina Hurricanes
GP: 33 | W: 20 | L: 11 | OTL: 2 | P: 53
GF: 87 | GA: 82 | PP%: 14.18% | PK%: 83.50%
GM : Dwayne | Morale : 40 | Team Overall : 74
Next Games #469 vs Hamilton Mustangs

Game Center
Vegas Golden Knights
11-18-4, 34pts
3
4 Carolina Hurricanes
20-11-2, 53pts
Team Stats
L1StreakW2
6-8-2Home Record10-4-2
5-10-2Away Record10-7-0
6-2-2Last 10 Games5-4-1
2.48Goals Per Game2.64
2.94Goals Against Per Game2.48
21.19%Power Play Percentage14.18%
79.55%Penalty Kill Percentage83.50%
Carolina Hurricanes
20-11-2, 53pts
4
1 San Jose Sharks
10-20-3, 31pts
Team Stats
W2StreakL4
10-4-2Home Record6-7-2
10-7-0Away Record4-13-1
5-4-1Last 10 Games4-6-0
2.64Goals Per Game1.97
2.48Goals Against Per Game3.21
14.18%Power Play Percentage22.00%
83.50%Penalty Kill Percentage78.41%
Hamilton Mustangs
19-12-2, 54pts
Day 84
Carolina Hurricanes
20-11-2, 53pts
Team Stats
L1StreakW2
12-3-1Home Record10-4-2
7-9-1Away Record10-7-0
4-6-0Last 10 Games5-4-1
2.64Goals Per Game2.64
2.45Goals Against Per Game2.64
14.55%Power Play Percentage14.18%
79.41%Penalty Kill Percentage83.50%
Carolina Hurricanes
20-11-2, 53pts
Day 86
Toronto Maple Leafs
18-12-3, 51pts
Team Stats
W2StreakW6
10-4-2Home Record11-3-2
10-7-0Away Record7-9-1
5-4-1Last 10 Games8-1-1
2.64Goals Per Game2.70
2.48Goals Against Per Game2.70
14.18%Power Play Percentage22.22%
83.50%Penalty Kill Percentage83.65%
Montreal Canadiens
13-18-2, 38pts
Day 88
Carolina Hurricanes
20-11-2, 53pts
Team Stats
L3StreakW2
7-9-1Home Record10-4-2
6-9-1Away Record10-7-0
2-7-1Last 10 Games5-4-1
2.70Goals Per Game2.64
3.06Goals Against Per Game2.64
17.89%Power Play Percentage14.18%
74.79%Penalty Kill Percentage83.50%
Team Leaders
Goals
Ryan Johansen
16
Assists
Travis Konecny
19
Points
Nikolaj Ehlers
26
Plus/Minus
Scott Laughton
9
Wins
Stuart Skinner
11
Save Percentage
Stuart Skinner
0.935

Team Stats
Goals For
87
2.64 GFG
Shots For
1061
32.15 Avg
Power Play Percentage
14.2%
19 GF
Offensive Zone Start
39.9%
Goals Against
82
2.48 GAA
Shots Against
1024
31.03 Avg
Penalty Kill Percentage
83.5%%
17 GA
Defensive Zone Start
37.9%
Team Info

General ManagerDwayne
DivisionAtlantic Division
ConferenceEastern Conference
CaptainRyan Johansen
Assistant #1Nikolaj Ehlers
Assistant #2Rasmus Dahlin


Arena Info

NamePNC Arena
Capacity18,000
Attendance14,563
Season Tickets7,020


Roster Info

Pro Team23
Farm Team26
Contract Limit49 / 250
Prospects24


Finance

Year to Date Revenue16,875,515$
Year To Date Expenses24,521,176$
Estimated Season Revenue25,313,272$
Estimated Season Expenses33,689,057$
Current Bank Account73,144,529$
Projected Bank Account65,337,401$


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
1Martin Necas0X100.0073438890739191797582817079737855407702647,310,000$
2Travis Konecny0X100.0084408398539090767183807383776755407702813,000,000$
3Janne Kuokkanen0X100.0061477986788786766083847077747655407602723,250,000$
4Nikolaj Ehlers (A)0X99.0070377996559092786682817083787255407602944,000,000$
5Ryan Johansen (C)0X100.0079527981778787789078847078807555407603213,600,000$
6Dylan Holloway (R)0X100.0090458780778686767079817177687855407502331,250,000$
7Alex Newhook0X100.0057428382638392727778786974707355407302421,500,000$
8Evgeni Malkin0X100.0057427373708081789077756172887755407103824,500,000$
9Scott Laughton0X100.0083477480738080688672696871807255407103123,000,000$
10Jakob Silfverberg0X100.0062458973778787696570747269706755407003411,600,000$
11Ryan Dzingel0X100.0068517678688078706172706872816655407003322,000,000$
12Blake Coleman0X100.0083516173687880678470687068816855406903311,700,000$
13Rasmus Dahlin (A)0X100.0089528097829496785490758076717455408102526,300,000$
14Brock Faber0X100.005949918579969978508470807065795540770222700,000$
15Philippe Myers0X100.0084528074998487715077667866777755407602812,700,000$
16Dakota Mermis0X100.0076457975848079685070657664807255407203112,000,000$
17Drew Helleson (R)0X100.007447728178767665507066766470705540710243800,000$
18Vladislav Kolyachonok (R)0X100.005342797980686863506964616270705540660243700,000$
Scratches
1Yakov Trenin0X100.0085557474807678667970667267777455407002811,400,000$
2Philip Broberg (R)0X93.9256429081808585615075698063708055407302431,500,000$
Farm Team
1Brett Seney0X98.007135789450717465716968667378615540680292500,000$
2Alex Turcotte (R)0X100.0057407881617777627168656768707055406702431,750,000$
3Dakota Joshua0X100.007658696882707065756466706678725540670292500,000$
4Joona Luoto0X100.007351846484778362756065686476825540670272650,000$
5Nic Petan0X100.005939818356747763666867677079705540670303500,000$
6Peter Cehlarik0X100.005950766877797663586366666578705540660292500,000$
7Taro Hirose0X100.005432838351757561736563666678625540650291500,000$
8Brett Murray0X100.005760596395748260506261686168675540640264500,000$
9Josh Dunne0X100.007947696680687660695659706173695540640264500,000$
10Lias Andersson0X100.005940727666707860666060686468615540640264500,000$
11Samuel Fagemo0X100.005445796965667460505661676273635540620253800,000$
12Kaedan Korczak (R)0X100.005945887682727265507760786070805540710243800,000$
13Jalen Chatfield0X100.006146688180757468506864696683785540700292500,000$
14Torey Krug0X97.0051438786638284685075627166816855407003412,000,000$
15Jack Ahcan0X100.006147878362748065506364686672765540680284600,000$
16Robin Salo0X100.005747798078687668526966696575685540680261600,000$
17Roland McKeown0X100.005746467961727265517062656177675540660292500,000$
18Ty Smith0X100.0050407482656767625062627262737355406602531,000,000$
19RYAN LASCH0X84.595029728348606076657765677391945240690381250,000$
20Mikhail Maltsev0X100.005144786970627155685859736075635540620272500,000$
21Nikita Scherbak0X100.005719797654656060546062666567615540620292500,000$
22Rourke Chartier0X100.005717757347686760665862646465605540610292500,000$
23Jakub Galvas0X95.005130898255738260505659686082715540660263500,000$
TEAM AVERAGE99.24654478797077796763706870687571554069
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
1Stuart Skinner0100.0077727786848483848482837362554078N02643,500,000$
2Sam Montembeault0100.00807578848080818181807977645540770281500,000$
Scratches
1Philipp Grubauer0100.008272758081808181818079826755407703321,365,000$
Farm Team
1JOHN LETHEMON0100.00766060807878797979787973635240730281250,000$
2NOA VALI096.00906060767973747777747557535240710201267,000$
3BRANDON BUSSI0100.00666060777273747474737268575040690271250,000$
TEAM AVERAGE99.3379676881797879797978787261534074
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
1Nikolaj EhlersCarolina HurricanesLW33101626-3180533512336968.13%1672421.96167111090002665047.50%404119000.7203000321
2Ryan JohansenCarolina HurricanesC331692554525808585255618.82%1370521.37729201030001696152.04%859811000.7112401023
3Travis KonecnyCarolina HurricanesRW32619252140674911024775.45%1465520.491899840111590037.93%293414000.7600000311
4Martin NecasCarolina HurricanesC3361824-360646810035556.00%1968120.67347181130000771046.26%7222710000.7012000024
5Janne KuokkanenCarolina HurricanesRW3351520-3431544438526575.88%1969220.9914591090002620036.96%46328100.5800012101
6Alex NewhookCarolina HurricanesRW3371219-3241025367316479.59%650215.22145778000000131.03%291111000.7600110200
7Dylan HollowayCarolina HurricanesLW309716-560704163283514.29%849416.48257696000011133.33%182113000.6501000112
8Brock FaberCarolina HurricanesD3341115-39517795916126.78%4483525.321013108000283120%01421000.3600001120
9Rasmus DahlinCarolina HurricanesD3331215-7492581609226293.26%6085125.802468106000076100%02617000.3500212200
10Ryan DzingelCarolina HurricanesLW33471172026174515288.89%62738.2700000000000166.67%395000.8100000120
11Scott LaughtonCarolina HurricanesC3355109135392047192010.64%42457.4400000000000143.64%11076000.8100100101
12Evgeni MalkinCarolina HurricanesC33437-412032365418317.41%540812.370002130001150057.66%13757000.3400000020
13Dakota MermisCarolina HurricanesD3315689538353114163.23%2947214.33101219000221000%0534000.2500010010
14Drew HellesonCarolina HurricanesD3315683115263219995.26%1644113.38011113000014010%0516000.2700111000
15Philippe MyersCarolina HurricanesD2306651954250257140%2549921.73011369000250000%0814000.2400001000
16Jakob SilfverbergCarolina HurricanesRW33325-29525263214239.38%1133810.2400003000000133.33%686000.3000100000
17Blake ColemanCarolina HurricanesLW33314-3295592729121910.34%1138111.57000050000231055.00%40514000.2100001011
18Philip BrobergCarolina HurricanesD29123-1014101450299103.45%4267023.110004100000165100%0616000.0911002000
19Yakov TreninCarolina HurricanesRW232024952814164712.50%31657.190000000000100%025000.2400100101
20Dakota JoshuaGreenville Swamp Rabbits (CAR)C310120050104100.00%0248.09000000000110100.00%111000.8200000010
21Kaedan KorczakGreenville Swamp Rabbits (CAR)D5101-2201661216.67%49218.4900001700003000%023000.2200000000
22Vladislav KolyachonokCarolina HurricanesD9011000274240%312013.390000700006000%004000.1700000000
Team Total or Average61692156248236313583881611283566518.16%3581027716.6820395910311610111469919948.87%2040277255100.483911511161715
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
1Stuart SkinnerCarolina Hurricanes1511310.9352.029202031480223010.71471512400
2Sam MontembeaultCarolina Hurricanes136600.9192.40750403036919002001216111
3Philipp GrubauerCarolina Hurricanes63210.9013.05335001717283000065100
Team Total or Average34201120.9242.332006607810214960373333611


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
Alex NewhookCarolina HurricanesRW242001-01-28CANNo190 Lbs5 ft10NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm1,500,000$853,723$0$0$No1,500,000$--------1,500,000$--------No--------Link
Blake ColemanCarolina HurricanesLW331991-11-28USANo207 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,700,000$967,553$0$0$No---------------------------Link
Brock FaberCarolina HurricanesD222002-08-22USANo201 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm700,000$398,404$0$0$No700,000$--------700,000$--------No--------Link
Dakota MermisCarolina HurricanesD311994-01-05USANo194 Lbs6 ft0NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,000,000$1,138,298$0$0$No---------------------------Link
Drew HellesonCarolina HurricanesD242001-03-26USAYes190 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm800,000$455,319$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Link
Dylan HollowayCarolina HurricanesLW232001-09-23CANYes203 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,250,000$711,436$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------Link
Evgeni Malkin (1 Way Contract)Carolina HurricanesC381986-07-31RUSNo194 Lbs6 ft4NoNoFree AgentNoNo22025-10-14FalseFalsePro & Farm4,500,000$2,561,170$0$0$No4,500,000$--------4,500,000$--------No--------Link
Jakob SilfverbergCarolina HurricanesRW341990-10-13SWENo207 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,600,000$910,638$0$0$No---------------------------Link
Janne Kuokkanen (1 Way Contract)Carolina HurricanesRW271998-05-25FINNo193 Lbs6 ft1NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm3,250,000$1,849,734$0$0$No3,250,000$--------3,250,000$--------No--------Link
Martin Necas (1 Way Contract)Carolina HurricanesC261999-01-15CZENo198 Lbs6 ft2NoNoFree AgentNoNo42025-10-06FalseFalsePro & Farm7,310,000$4,160,479$0$0$No7,310,000$7,310,000$7,310,000$------7,310,000$7,310,000$7,310,000$------NoNoNo------Link
Nikolaj Ehlers (1 Way Contract)Carolina HurricanesLW291996-02-14DNKNo172 Lbs6 ft0NoNoFree AgentNoNo42025-10-21FalseFalsePro & Farm4,000,000$2,276,596$0$0$No4,000,000$4,000,000$4,000,000$------4,000,000$4,000,000$4,000,000$------NoNoNo------Link
Philip BrobergCarolina HurricanesD242001-06-25SWEYes199 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm1,500,000$853,723$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Link
Philipp GrubauerCarolina HurricanesG331991-11-25DEUNo187 Lbs6 ft1NoNoTrade2025-12-18NoNo22025-10-13FalseFalsePro & Farm1,365,000$776,888$0$0$No1,365,000$--------1,365,000$--------No--------Link
Philippe Myers (1 Way Contract)Carolina HurricanesD281997-01-25CANNo219 Lbs6 ft6NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm2,700,000$1,536,702$0$0$No---------------------------Link
Rasmus Dahlin (1 Way Contract)Carolina HurricanesD252000-04-13SWENo203 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-30FalseFalsePro & Farm6,300,000$3,585,638$0$0$No6,300,000$--------6,300,000$--------No--------Link
Ryan Dzingel (1 Way Contract)Carolina HurricanesLW331992-03-09USANo190 Lbs6 ft0NoNoFree AgentNoNo22025-10-25FalseFalsePro & Farm2,000,000$1,138,298$0$0$No2,000,000$--------2,000,000$--------No--------
Ryan Johansen (1 Way Contract)Carolina HurricanesC321992-07-31CANNo218 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm3,600,000$2,048,936$0$0$No---------------------------Link
Sam MontembeaultCarolina HurricanesG281996-10-30CANNo198 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm500,000$284,574$0$0$No---------------------------Link
Scott Laughton (1 Way Contract)Carolina HurricanesC311994-05-30CANNo190 Lbs6 ft1NoNoFree AgentNoNo22025-10-21FalseFalsePro & Farm3,000,000$1,707,447$0$0$No3,000,000$--------3,000,000$--------No--------Link
Stuart Skinner (1 Way Contract)Carolina HurricanesG261998-11-01CANNo205 Lbs6 ft4YesNoFree AgentNoNo42025-10-21FalseFalsePro Only3,500,000$1,992,021$0$0$No3,500,000$3,500,000$3,500,000$------3,500,000$3,500,000$3,500,000$------YesYesYes------Link
Travis Konecny (1 Way Contract)Carolina HurricanesRW281997-03-11CANNo174 Lbs5 ft10NoNoTrade2026-03-26NoNo12025-09-30FalseFalsePro & Farm3,000,000$1,707,447$0$0$No---------------------------Link
Vladislav KolyachonokCarolina HurricanesD242001-05-26BLRYes193 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-30FalseFalsePro & Farm700,000$398,404$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Yakov TreninCarolina HurricanesRW281997-01-13RUSNo201 Lbs6 ft2NoNoAssign ManuallyNoNo12025-09-30FalseFalsePro & Farm1,400,000$796,809$0$0$No---------------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2328.30197 Lbs6 ft22.092,529,348$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
58,175,000$41,675,000$19,060,000$14,810,000$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nikolaj EhlersMartin NecasTravis Konecny39014
2Dylan HollowayRyan JohansenJanne Kuokkanen34023
3Jakob SilfverbergEvgeni MalkinAlex Newhook18023
4Blake ColemanScott LaughtonRyan Dzingel9041
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Rasmus DahlinDakota Mermis38041
2Philippe MyersBrock Faber35041
3Vladislav KolyachonokDrew Helleson19041
4Rasmus DahlinBrock Faber8032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nikolaj EhlersMartin NecasJanne Kuokkanen50005
2Dylan HollowayRyan JohansenTravis Konecny50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Rasmus DahlinBrock Faber50005
2Dakota MermisPhilippe Myers50005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Martin NecasNikolaj Ehlers50050
2Ryan JohansenJanne Kuokkanen50050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Brock FaberRasmus Dahlin50050
2Dakota MermisPhilippe Myers50050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Martin Necas50050Brock FaberRasmus Dahlin50050
2Ryan Johansen50050Dakota MermisPhilippe Myers50050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Martin NecasNikolaj Ehlers50023
2Ryan JohansenJanne Kuokkanen50023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brock FaberRasmus Dahlin50041
2Dakota MermisPhilippe Myers50041
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nikolaj EhlersMartin NecasJanne KuokkanenBrock FaberRasmus Dahlin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nikolaj EhlersMartin NecasJanne KuokkanenBrock FaberRasmus Dahlin
Extra Forwards
Normal PowerPlayPenalty Kill
Martin Necas, Ryan Johansen, Janne KuokkanenMartin Necas, Nikolaj EhlersMartin Necas
Extra Defensemen
Normal PowerPlayPenalty Kill
Rasmus Dahlin, Brock Faber, Vladislav KolyachonokPhilippe MyersVladislav Kolyachonok, Rasmus Dahlin
Penalty Shots
Nikolaj Ehlers, Martin Necas, Ryan Johansen, Dylan Holloway, Janne Kuokkanen
Goalie
#1 : Stuart Skinner, #2 : Sam Montembeault
Custom OT Lines Forwards
Martin Necas, Ryan Johansen, Nikolaj Ehlers, Janne Kuokkanen, Travis Konecny, Dylan Holloway, Alex Newhook, Evgeni Malkin, Jakob Silfverberg, Scott Laughton
Custom OT Lines Defensemen
Rasmus Dahlin, Brock Faber, Philippe Myers, Vladislav Kolyachonok, Dakota Mermis


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
1Anaheim Mighty Ducks10001000321000000000001000100032120.667369002001341451323411618300.00%3166.67%039879749.94%36875648.68%22744251.36%2212219179
2Boston Bruins210000016601000000134-11100000032140.66761016004020721521355602745531119.09%50100.00%039879749.94%36875648.68%22744251.36%472844193317
3California Golden Seals1010000024-2000000000001010000024-200.000235001100259133035112129200.00%8275.00%039879749.94%36875648.68%22744251.36%1910238178
4Colorado Avalanche1010000013-2000000000001010000013-200.00012300001026146603611421300.00%20100.00%039879749.94%36875648.68%22744251.36%1810249167
5Detroit Red Wings10000010321100000103210000000000020.667336001012218565431511296116.67%30100.00%039879749.94%36875648.68%22744251.36%1992610199
6Florida Panthers11000000321000000000001100000032131.00035800012038912170298726600.00%10100.00%039879749.94%36875648.68%22744251.36%2314218148
7Hamilton Mustangs2110000045-1110000002111010000024-230.5004610001120652127170752713404125.00%4175.00%039879749.94%36875648.68%22744251.36%402447173115
8Los Angeles Kings1010000013-21010000013-20000000000000.000123001000281151203392225120.00%10100.00%039879749.94%36875648.68%22744251.36%2111228168
9Montreal Canadiens210001004311000010012-11100000031240.6674610000310582221141653423585120.00%40100.00%039879749.94%36875648.68%22744251.36%432546183317
10New Jersey Devils11000000532000000000001100000053231.000571200041027813603179233133.33%20100.00%039879749.94%36875648.68%22744251.36%2011229178
11New York Islanders1010000024-21010000024-20000000000000.0002461002003611169030109215120.00%2150.00%039879749.94%36875648.68%22744251.36%2213228157
12New York Rangers2010100067-1100010003211010000035-220.333610161012215316261015815284810110.00%9366.67%039879749.94%36875648.68%22744251.36%402144183518
13Ottawa Senators21001000422110000002111000100021150.833471100030160221816457162554400.00%100100.00%039879749.94%36875648.68%22744251.36%422243183416
14Philadelphia Flyers21100000761110000005321010000023-130.5007132000052081322425057251742400.00%6266.67%039879749.94%36875648.68%22744251.36%422642163417
15Pittsburgh Penguins2110000056-11010000024-21100000032130.50059140022105919251506224294010220.00%70100.00%039879749.94%36875648.68%22744251.36%392245183416
16Quebec Nordiques2020000026-41010000013-21010000013-200.000246102000783229170572038481600.00%10370.00%039879749.94%36875648.68%22744251.36%503037173117
17San Jose Sharks11000000413000000000001100000041331.000481200130034522702078267228.57%40100.00%039879749.94%36875648.68%22744251.36%22121710198
18Seattle Kraken11000000422110000004220000000000031.00045900130027415802684237228.57%20100.00%039879749.94%36875648.68%22744251.36%2011219179
19Tampa Bay Lightning20101000440100010002111010000023-120.333459000121601620177702115525120.00%5260.00%039879749.94%36875648.68%22744251.36%442544183517
20Toronto Maple Leafs21001000633110000003121000100032150.83361016000411732231191561414425240.00%80100.00%039879749.94%36875648.68%22744251.36%452740183416
21Vancouver Canucks10001000211000000000001000100021120.6672350010013311164232102124500.00%20100.00%039879749.94%36875648.68%22744251.36%2414219189
22Vegas Golden Knights10001000431100010004310000000000020.66747110003014091710430136314125.00%3166.67%039879749.94%36875648.68%22744251.36%23132091910
23Winnipeg Jets10001000541100010005410000000000020.6675914003101331191122844244125.00%2150.00%039879749.94%36875648.68%22744251.36%2415178189
Total33111108111878251654041114340317670400044422530.53587144231302139181010613413962973410243473597941341914.18%1031783.50%039879749.94%36875648.68%22744251.36%720416718301570285
_Since Last GM Reset33111108111878251654041114340317670400044422530.53587144231302139181010613413962973410243473597941341914.18%1031783.50%039879749.94%36875648.68%22744251.36%720416718301570285
_Vs Conference239804101585711143021012626012550200032311370.536589615430102816476024528321719707248272547881112.50%731283.56%039879749.94%36875648.68%22744251.36%502293502208388195
_Vs Division9330200126260401020011011-15320000016151140.51926416720510922867510894132788811322340512.50%24675.00%039879749.94%36875648.68%22744251.36%1981161998215278

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3353W2871442311061102434735979430
All Games
GPWLOTWOTL SOWSOLGFGA
33111181118782
Home Games
GPWLOTWOTL SOWSOLGFGA
165441114340
Visitor Games
GPWLOTWOTL SOWSOLGFGA
176740004442
Last 10 Games
WLOTWOTL SOWSOL
540001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1341914.18%1031783.50%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
3413962973421391810
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
39879749.94%36875648.68%22744251.36%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
720416718301570285


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
14New York Islanders4Carolina Hurricanes2LBox score
318Carolina Hurricanes5New Jersey Devils3WBox score
532Carolina Hurricanes2Tampa Bay Lightning3LBox score
749Philadelphia Flyers3Carolina Hurricanes5WBox score
961New York Rangers2Carolina Hurricanes3WXBox score
1176Carolina Hurricanes3Boston Bruins2WBox score
1389Carolina Hurricanes3Florida Panthers2WBox score
15102Seattle Kraken2Carolina Hurricanes4WBox score
18124Carolina Hurricanes3Anaheim Mighty Ducks2WXBox score
20132Los Angeles Kings3Carolina Hurricanes1LBox score
22142Carolina Hurricanes2Ottawa Senators1WXBox score
26163Carolina Hurricanes1Quebec Nordiques3LBox score
29174Carolina Hurricanes3Pittsburgh Penguins2WBox score
33195Hamilton Mustangs1Carolina Hurricanes2WBox score
35203Carolina Hurricanes3Toronto Maple Leafs2WXBox score
37213Montreal Canadiens2Carolina Hurricanes1LXBox score
40227Carolina Hurricanes3Montreal Canadiens1WBox score
43239Toronto Maple Leafs1Carolina Hurricanes3WBox score
46255Carolina Hurricanes2Hamilton Mustangs4LBox score
50272Pittsburgh Penguins4Carolina Hurricanes2LBox score
53284Quebec Nordiques3Carolina Hurricanes1LBox score
55298Ottawa Senators1Carolina Hurricanes2WBox score
59312Carolina Hurricanes2Vancouver Canucks1WXBox score
62328Carolina Hurricanes1Colorado Avalanche3LBox score
63338Detroit Red Wings2Carolina Hurricanes3WXXBox score
65352Winnipeg Jets4Carolina Hurricanes5WXBox score
67366Boston Bruins4Carolina Hurricanes3LXXBox score
69382Carolina Hurricanes3New York Rangers5LBox score
71395Carolina Hurricanes2Philadelphia Flyers3LBox score
73410Tampa Bay Lightning1Carolina Hurricanes2WXBox score
76424Carolina Hurricanes2California Golden Seals4LBox score
78436Vegas Golden Knights3Carolina Hurricanes4WXBox score
80450Carolina Hurricanes4San Jose Sharks1WBox score
84469Hamilton Mustangs-Carolina Hurricanes-
86482Carolina Hurricanes-Toronto Maple Leafs-
88496Montreal Canadiens-Carolina Hurricanes-
91506Carolina Hurricanes-Chicago Blackhawks-
94527Chicago Blackhawks-Carolina Hurricanes-
96541Edmonton Oilers-Carolina Hurricanes-
97548Carolina Hurricanes-Edmonton Oilers-
99562Carolina Hurricanes-St Louis Blues-
101576Columbus Blue Jackets-Carolina Hurricanes-
103589New Jersey Devils-Carolina Hurricanes-
106603Carolina Hurricanes-New York Islanders-
109619Florida Panthers-Carolina Hurricanes-
113633Carolina Hurricanes-Ottawa Senators-
116652Quebec Nordiques-Carolina Hurricanes-
120672Carolina Hurricanes-Pittsburgh Penguins-
122681Carolina Hurricanes-Detroit Red Wings-
123688Colorado Avalanche-Carolina Hurricanes-
125702Vancouver Canucks-Carolina Hurricanes-
127715Carolina Hurricanes-Los Angeles Kings-
129732Anaheim Mighty Ducks-Carolina Hurricanes-
131746Carolina Hurricanes-Seattle Kraken-
134762Boston Bruins-Carolina Hurricanes-
136775Carolina Hurricanes-New York Rangers-
138791Philadelphia Flyers-Carolina Hurricanes-
140802Carolina Hurricanes-Tampa Bay Lightning-
144820Carolina Hurricanes-Winnipeg Jets-
147837California Golden Seals-Carolina Hurricanes-
150854Carolina Hurricanes-Vegas Golden Knights-
152868San Jose Sharks-Carolina Hurricanes-
154877St Louis Blues-Carolina Hurricanes-
156887Carolina Hurricanes-Columbus Blue Jackets-
159910Carolina Hurricanes-Hamilton Mustangs-
161918Toronto Maple Leafs-Carolina Hurricanes-
163936Carolina Hurricanes-Montreal Canadiens-
165951Pittsburgh Penguins-Carolina Hurricanes-
167963Carolina Hurricanes-Quebec Nordiques-
169977Ottawa Senators-Carolina Hurricanes-
Trade Deadline --- Trades can’t be done after this day is simulated!
172994Carolina Hurricanes-Boston Bruins-
1741005New York Rangers-Carolina Hurricanes-
1761020Carolina Hurricanes-Philadelphia Flyers-
1781033Tampa Bay Lightning-Carolina Hurricanes-
1801040Carolina Hurricanes-New Jersey Devils-
1811054New Jersey Devils-Carolina Hurricanes-
1831068New York Islanders-Carolina Hurricanes-
1841082Carolina Hurricanes-New York Islanders-
1861097Carolina Hurricanes-Florida Panthers-
1871112Florida Panthers-Carolina Hurricanes-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity59404860198039601260
Ticket Price92513023186
Attendance76,99563,56027,28749,45215,710
Attendance PCT81.01%81.74%86.13%78.05%77.93%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
24 14563 - 80.90% 1,054,720$16,875,515$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches SalariesSpecial Salary Cap Value
24,521,176$ 59,192,000$ 0$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 24,521,176$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
25,313,272$ 107 314,851$ 33,689,057$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
34,554,152$ 73,144,529$ 65,337,401$



Depth Chart

Left WingCenterRight Wing
Nikolaj EhlersAGE:29PO:55OV:76
Dylan Holloway (R)AGE:23PO:55OV:75
Ryan DzingelAGE:33PO:55OV:70
Blake ColemanAGE:33PO:55OV:69
Brett SeneyAGE:29PO:55OV:68
Joona LuotoAGE:27PO:55OV:67
Brett MurrayAGE:26PO:55OV:64
Mikhail MaltsevAGE:27PO:55OV:62
Samuel FagemoAGE:25PO:55OV:62
Martin NecasAGE:26PO:55OV:77
Ryan JohansenAGE:32PO:55OV:76
Evgeni MalkinAGE:38PO:55OV:71
Scott LaughtonAGE:31PO:55OV:71
Alex Turcotte (R)AGE:24PO:55OV:67
Dakota JoshuaAGE:29PO:55OV:67
Nic PetanAGE:30PO:55OV:67
Taro HiroseAGE:29PO:55OV:65
Josh DunneAGE:26PO:55OV:64
Lias AnderssonAGE:26PO:55OV:64
Rourke ChartierAGE:29PO:55OV:61
Travis KonecnyAGE:28PO:55OV:77
Janne KuokkanenAGE:27PO:55OV:76
Alex NewhookAGE:24PO:55OV:73
Jakob SilfverbergAGE:34PO:55OV:70
Yakov TreninAGE:28PO:55OV:70
RYAN LASCHAGE:38PO:52OV:69
Peter CehlarikAGE:29PO:55OV:66
Nikita ScherbakAGE:29PO:55OV:62

Defense #1Defense #2Goalie
Rasmus DahlinAGE:25PO:55OV:81
Brock FaberAGE:22PO:55OV:77
Philippe MyersAGE:28PO:55OV:76
Philip Broberg (R)AGE:24PO:55OV:73
Dakota MermisAGE:31PO:55OV:72
Drew Helleson (R)AGE:24PO:55OV:71
Kaedan Korczak (R)AGE:24PO:55OV:71
Jalen ChatfieldAGE:29PO:55OV:70
Torey KrugAGE:34PO:55OV:70
Jack AhcanAGE:28PO:55OV:68
Robin SaloAGE:26PO:55OV:68
Jakub GalvasAGE:26PO:55OV:66
Roland McKeownAGE:29PO:55OV:66
Ty SmithAGE:25PO:55OV:66
Vladislav Kolyachonok (R)AGE:24PO:55OV:66
Stuart SkinnerAGE:26PO:55OV:78
Philipp GrubauerAGE:33PO:55OV:77
Sam MontembeaultAGE:28PO:55OV:77
JOHN LETHEMONAGE:28PO:52OV:73
NOA VALIAGE:20PO:52OV:71
BRANDON BUSSIAGE:27PO:50OV:69

Prospects

Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
ProspectTeam NameDraft YearOverall PickInformationLast Trade DateLink
0x LTCsCarolina Hurricanes00
0x RFA Tag (Rasmus Dahlin Y27)Carolina Hurricanes00
0x TC PTSCarolina Hurricanes00
1 000 000 NSHL25 Waiver BucksCarolina Hurricanes00
1x NSHL26 ODW ClaimCarolina Hurricanes00
Artyom LevshunovCarolina Hurricanes2460Link
Brady PeddleCarolina Hurricanes251300Link
Cruz LuciusCarolina Hurricanes221680Link
Dalibor DvorskyCarolina Hurricanes23110Link
Drew CommessoCarolina Hurricanes201050Link
Gleb TrikozovCarolina Hurricanes22540Link
Ilya KonovalovCarolina Hurricanes191360Link
Jackson BlakeCarolina Hurricanes211420Link
Karl HenrikssonCarolina Hurricanes191060Link
Mason LohreiCarolina Hurricanes201160Link
Noel GunlerCarolina Hurricanes20390Link
Owen PickeringCarolina Hurricanes22240Link
Porter MartoneCarolina Hurricanes2560Link
Reid SchaeferCarolina Hurricanes22290Link
Ryan O'RourkeCarolina Hurricanes20620Link
Ryan SuzukiCarolina Hurricanes19180Link
Tij IginlaCarolina Hurricanes2470Link
William WallinderCarolina Hurricanes20440Link
Zachary L'HeureuxCarolina Hurricanes21310Link

Draft Picks

Year R1R2R3R4R5R6R7
26
27
28
29
30
Conditional Draft Picks




The STHS News Database File was not found or corrupted. Please create one in the League News Management section of the website logged in as a Commissioner.




Carolina Hurricanes Trade History

[2026-03-31 9:29:12 AM] TRADE : From Vegas Golden Knights to Carolina Hurricanes : NOA VALI (71).
[2026-03-31 9:29:12 AM] TRADE : From Carolina Hurricanes to Vegas Golden Knights : $250,000 (Money).
[2026-03-26 3:59:49 PM] TRADE : From Vegas Golden Knights to Carolina Hurricanes : Travis Konecny (77).
[2026-03-26 3:59:49 PM] TRADE : From Carolina Hurricanes to Vegas Golden Knights : Joakim Kemell (P), Y:26-RND:1-CAR, Y:26-RND:2-CAR, Y:26-RND:3-CAR.
[2026-03-08 9:21:37 AM] New Record for Team's Most Shots Blocked (19) in 1 Game for Carolina Hurricanes!
[2026-03-04 4:09:22 PM] New Record for Team's Most Hits (32) in 1 Game for Carolina Hurricanes!
[2026-02-13 3:05:42 PM] TRADE : From Anaheim Mighty Ducks to Carolina Hurricanes : $1,089,835 (Money).
[2026-02-07 3:08:52 PM] New Record for Team's Most Hits (26) in 1 Game for Carolina Hurricanes!
[2026-02-05 1:28:03 PM] New Record for Team's Most Penalties Minutes (39) in 1 Game for Carolina Hurricanes!
[2026-02-05 1:28:03 PM] New Record for Team's Most Shots (41) in 1 Game for Carolina Hurricanes!
[2026-02-03 3:12:00 PM] New Record for Team's Most Hits (25) in 1 Game for Carolina Hurricanes!
[2026-02-01 12:08:42 PM] New Record for Team's Most Shots Blocked (17) in 1 Game for Carolina Hurricanes!
[2026-02-01 12:08:42 PM] New Record for Team's Most Shots (40) in 1 Game for Carolina Hurricanes!
[2026-02-01 12:08:42 PM] New Record for Team's Most Points (14) in 1 Game for Carolina Hurricanes!
[2026-02-01 12:08:42 PM] New Record for Team's Most Assists (9) in 1 Game for Carolina Hurricanes!
[2026-01-30 3:38:06 PM] New Record for Team's Most Penalties Minutes (11) in 1 Game for Carolina Hurricanes!



Philip Broberg is out for 2 days because of a Strained Back Injury.
RYAN LASCH is out for 1 week because of a Back Spasms Injury.



Carolina Hurricanes 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

Carolina Hurricanes Goalies Stat Leaders (Regular Season)

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

Carolina Hurricanes 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

Carolina Hurricanes 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

Carolina Hurricanes Goalies Stat Leaders (Play-Off)

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