What are you changing on the car?
Move a slider or type a new value. Everything you leave alone stays as on the current car. Or start from an example:
Points per event
Green bars gain points, red bars lose them.
Times and points per event
Compared with the current car, using the rules and Tmin chosen above. Efficiency follows from the endurance time with fuel use unchanged.
Where the points come from
Points gained or lost by each parameter change on its own.
Saved changes
Every change the team has saved, best first at the competition chosen above. Open one to look at it or edit it in the calculator; each save is kept in its history. Changes that replace the same part can be compared as alternatives in a concept.
Your changed car against the predicted 2027 field
Competitor times are 2027 predictions from raw times without penalties (2022–2026). Acceleration and skidpad are in seconds; autocross and endurance predictions are gaps to the average of the 3 fastest cars, placed on the reference layout (Scoring & data). If your car is faster than the best prediction, your time becomes Tmin.
Ranking per event
Predicted dynamic points ranking
Acceleration + skidpad + autocross + endurance. Efficiency is left out because other teams' fuel use is unknown. Finishes / entries shows how often a team finished endurance in 2022–2026.
What change is needed for a given gain?
Each parameter changed on its own, in the direction that helps.
Simulator sweep for one parameter
Dots are simulator runs; the line is the curve fitted through them.
Scoring
Scoring rules: FS Rules 2027 and the 2026 competitions
Dynamic disciplines, CV class. Pmin is the minimum score for a valid run, Tmax the time where points bottom out.
Reference layout for autocross and endurance
Predicted gaps are placed on the same layout as the simulator baseline. Default: FS Poland 2026, where the average raw time of the 3 fastest cars was 69.713 s in autocross (68.340, 69.148, 71.652) and 1908.141 s in endurance (1856.010, 1890.293, 1978.119).
Simulator data
Import sweep results as CSV with the columns event,parameter,value,time. Events: accel, skidpad, autocross, endurance. Parameters: cl, cd, power, mass, mulat, mulong. One row per event with parameter baseline (value left empty) gives the baseline time.
You can also import citlivost_body.csv from the OptimumLap sensitivity runs directly. It only replaces the disciplines that are in the file and keeps everything else.