Enable geographical location for a better experience.
logo
Lap Driver Organization Modified Car Model Track Variation
Car
Car Bike
Metric
Metric USA
English
Spanish French German Italian Portuguese Russian Japanese
Login / Create Account
  • Tracks
  • track_changes
    Laps
  • Cars
  • Track Days
  • Tire Rankings
  • Drivers
  • About
+ Add
Lap
Drivers
Organization
Modified Car
Model
Track Variation
English
Spanish French German Italian Portuguese Russian Japanese
Car
Car Bike
Login / Create Account
This lap is archived. A faster lap can be found here
Edit Remove
++USER.DRIVER.DISPLAY_NAME++
++CREATED_AT++
++USER.ALIAS++
++CREATED_AT++
++COMMENT++

Delete

Are you sure you want to delete this lap?
Fastest Lap: 2.5 swapped NC at Gingerman Raceway
tiezep
Location:
United States
Level:
Amateur
tiezep
Lap Date : 27 Dec, 2021
1min 53.724sec
Outside Temp: 0 ° C
GingerMan Raceway (Extended Course 10B CW)
Mazda Miata MX-5 NC 2007 (w/Indy 500)
Heavy
Tire: 340 Firehawk Indy 500
Tire Size: 205/45/17
Published on 14 Feb, 2024

Just drive your 14 year old shitbox nearly 200 miles away then send it uleh

best lap time of the day: 1:53.724

details on the car:
07 Mazda MX-5 Touring 6 speed
blown up 2.0 engine replaced with a 2.5 from a 2011 Ford Fusion
2.0 intake manifold modified to fit 2.5
2.0 header modified to 2.5
Meister Sportive coil-overs
Firehawk Indy 500 tires

Comments
Suggested Laps
1:26.22
-1.78
Matt TV - Fastest Lap Record at Gingerman Raceway
Matt McMurry
14.89k Views
1:27.075
-0.63
Gingerman Qualifying 2014 SCCA Majors Tour F1000 Lap Record July 2014
Tyler Thielmann
363 Views
1:29.67
Gridlife Midwest: Gingerman Raceway Lap Record 2015 1:29.670
Tom O'Gorman
1.51k Views
Suggested Driver Cars
Mazda Miata MX-5 NC 2006 (StKnoWhere)
StKnoWhere
2006
Miata MX-5 NC
Mazda Miata MX-5 NC 2006 (MitchelY03)
MitchelY03
2006
Miata MX-5 NC
Mazda Miata MX-5 NC 2006 (w/NT01/Edward Krisher)
Edward Krisher
2006
Miata MX-5 NC
Report Wrong Data
© 2025 LapMeta, LLC
Rules Terms of Service Privacy Policy Organizations Local Blog
Report Wrong Data