Live Undercut/Overcut Calculator
Quantifying pit stop strategy in real-time.
Overview
Analyzes live Formula 1 race data to calculate the probability of a successful undercut or overcut. This pillar gives traders a crucial edge in dynamic, in-race trading markets by forecasting the outcome of key strategic decisions.
What It Does
This pillar models tire performance degradation for each driver using their most recent lap times and current tire compound. It projects future lap times on both old and new tires, factoring in the time lost in the pit lane. The model then compares the projected track position after a stop against the alternative of staying out, signaling the optimal move.
Why It Matters
Pit stops are the most significant strategic events in an F1 race and frequently decide the winner. This pillar replaces gut feeling with a data-driven forecast, identifying high-probability opportunities for position changes before they happen on screen.
How It Works
First, the system ingests live lap time data for all cars on track. Second, it calculates the rate of performance loss for each car's current tire set. Third, it simulates the outcome of pitting on the current lap, including pit lane time loss and projected pace on fresh tires. Finally, it presents a clear signal on whether an undercut or overcut is likely to succeed.
Methodology
The core calculation uses a 5-lap rolling window to establish a linear regression of lap time degradation. The undercut/overcut success probability is determined by comparing the projected race time over the next 3 laps for two scenarios: (1) pitting now, and (2) staying out. The model accounts for track-specific pit lane time loss and the expected performance delta between tire compounds.
Edge & Advantage
It provides a precise, quantitative signal on a highly dynamic race element that most viewers and commentators assess qualitatively, often giving an edge of several seconds to a full lap.
Key Indicators
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Lap Time Degradation Curve
highThe rate at which a driver's lap times are slowing on their current set of tires.
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Pit Window Traffic
highThe presence of slower cars that a driver might exit the pits behind, negating the advantage of fresh tires.
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Gap to Rival Car
mediumThe time gap to the car ahead or behind, which determines if a pit stop can be made without losing track position.
Data Sources
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Provides real-time lap-by-lap data, sector times, and driver positions during a race.
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Official supplier data on tire compound performance characteristics and expected lifespan.
Example Questions This Pillar Answers
- → Will Max Verstappen successfully undercut Lewis Hamilton at his next pit stop?
- → Will Ferrari pitting Charles Leclerc on Lap 15 result in a net gain of position?
- → Which driver has the highest probability of a successful overcut in the next 5 laps?
Tags
Use Live Undercut/Overcut Calculator on a real market
Run this analytical framework on any Polymarket or Kalshi event contract.
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