I have a sequence of lap times for a white ball that gradually slows down until it stops. Typical observations are: • Lap 1 ≈ 0.8 s • Lap 2 ≈ 0.9 s • … • Lap 9 ≈ 2.2 s From experience, once a lap reaches about 2.1 s the system comes to rest after another one-to-two revolutions. I usually capture only the first six laps (10–15 laps occur in total), so I need a program that takes those early timings and: 1. Calculates the instant rotational speed for each supplied lap in ms/round. 2. Fits a deceleration curve and predicts when the ball will reach its final full stop. 3. Estimates the exact lap (and fractional position within that lap) where the stop occurs, expressed as an angular offset or distance from the starting point. 4. Outputs a concise numerical report and, for clarity, a quick plot of lap time vs. lap number with the predicted stop marked. Scope & Deliverables (medium complexity): • Clean, well-commented code in any mainstream language (Python preferred if you have no strong preference). • Input can be a simple array, JSON, or CSV—whatever keeps things lightweight. • A short README explaining how to run the script with sample data. • Validation on at least one additional data set I will provide after you share the first draft. I’m aiming for a practical tool rather than academic precision: being within a few degrees or a tenth of a lap is acceptable as long as the method is transparent and repeatable.