Motorsport · Race Strategy
From optimum planning to adaptive strategy.
Evaluate race-defining scenarios. Adapt your plan.
The problem
Race strategy is not always about the fastest race time – the optimum plan.
It is about knowing when to deviate from it.
Strategists are accounting for factors outside their control including rival tactics and race-control events. Many decisions are made inside short windows where points can be won or lost by acting too early, too late, or not at all.
The solution: Adaptive race strategy
Track strategic options and adapt during the race.
Review live projections. Compare strategic options. Adapt your plan.
SwitchPad™ · Walkthrough
A recording of the live strategy board – tap to play, or enlarge for landscape.
It's fully interactive on desktop — open this page on a computer to click and step through the strategy yourself.
Three calls. One workflow.
Hold the plan. Change the plan. Respond on demand.
Each lap, SwitchPad™ compares your options and identifies when the optimum plan should hold or change. When it needs to change, it becomes an adaptive plan.
Hold the plan
Confirm the optimum plan still holds under live tyre, traffic, rival, and race-control conditions – so you adjust ahead of time, not in a hurry.
Change the plan
When a scenario shifts enough to justify a different call, the optimum plan becomes an adaptive one – changed early, while the window is still open.
Respond on demand
When something outside your control happens – a safety car, a rival's stop, a change in conditions – act the instant it does, with the response already prepared.
Answer the critical questions
Should we stop?Should we cover?Can we extend?Is traffic changing the plan?How critical is this next overtake?Has race control opened an opportunity?Does the optimum plan still hold?
The scenario engine
Different series. Same scenario engine.
Adaptive strategy formulation is built around a common set of decision levers. Rather than creating separate models for every championship, SwitchPad™ organises race strategy into five modelling groups that can be configured for different series.
The result is a consistent decision-analysis framework that can support Formula 1, Formula E, Formula 2, IndyCar, WEC, GT racing, Supercars, and Super Formula.
✓ Core strategy consideration○ Secondary or situational– Not a primary strategy driver
Tap a group to expand its levers · scroll across for every series.
Built for race strategy workflows
Works the way strategy teams work.
–
Live or in replay
Use it during the race, or replay decisions after it.
–
Bespoke to your data
Modelled around your environment and adapted as the season develops.
–
Explainable
Every signal shows the factors behind it. No black box.
–
On-premise or cloud
Fits your existing infrastructure and data workflows.
Why SIG ML
SIG ML specialises in decision-support systems for complex engineering operations. We build software tools and provide engineering support – to validate, configure, and implement adaptive decision-analysis workflows.
Make it your own
Validate. Connect. Apply.
SwitchPad™ is adaptive strategy software you run on your terms – on your data, your infrastructure. We maintain the platform; the strategy stays yours.
Prove the software in your own environment against your past race data — before any live integration.
Modelling groups that leverage advanced analytics and ML run on our ML Core inference, supporting common ML libraries (e.g. scikit-learn, TensorFlow, PyTorch). Representative architecture — configured to specific series and deployment (on-premise or cloud).
Extract Performance with Adaptive Strategy.
Book a walkthrough or request access to SwitchPad™.