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Unofficial Formula 1 race strategy analysis: true pace from clean laps, tyre degradation, pit cycles and a measured Chaos Index, with the laps excluded and a confidence label on every estimate. Season
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スポーツ・フィットネスPython · TypeScriptGitHub @MarcGuitartオンライン所有者未確認
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Pit Wall Engineer is a motorsport analytics platform combining Formula 1 telemetry processing, data visualisation and AI reasoning to replicate the workflow of a race engineer. It analyses historical F1 sessions (2023-2025), extracting insights from telemetry, strategy and race data through an AI engineering assistant.
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Read the full README ↗pitwallengineer.com · Docs: free, PRO and live mode · Leer en español
Pit Wall Engineer turns raw Formula 1 timing data into the analysis a race engineer would run: true pace, tyre degradation, pit impact, race phases, chaos, weather crossovers and lap telemetry.
During a session, Live mode puts the same lens on the feed as it arrives: timing, track map, car data, tyres, strategy, race control and team radio.
Every number carries its confidence and the size of the sample behind it. A reading that cannot be judged yet is labelled as such, never rounded into certainty.
A ranking built on four laps is not a ranking built on forty. The product treats that as a design rule, not a footnote.
| Module | Strategic question |
|---|---|
| True Pace | Who was actually fast once pit laps, safety car laps and outliers are removed? |
| Tyre degradation | Where did each stint start to fall off, and how steep was it? |
| Pit impact | Did the stop gain or lose positions, and was the undercut real? |
| Race phases | What was the race doing on each lap: sorting, pit window, safety car reset, final push? |
| Chaos Index | How disordered was the race, and on which lap did it peak? |
| DRS trains | When were cars stuck in a group, and for how long? |
| Weather crossovers | Who was early, on time or late when the track changed? |
| Clean air value | What was running free worth against running in traffic? |
| Lap charts | How did lap times and gaps evolve, lap by lap? |
| Telemetry replay | How did the drivers differ through speed, throttle, brake, gear and g on one lap? |
| Race control and radio | What did the stewards and the pit wall say, and when? |
| Recon Lap | What does this circuit ask of a car: where are the braking zones, how much speed is lost, in which gear, over how much height? |
| AI race engineer | What does this specific race say about a question I have? |
A session view with eight tabs: Timing, Track & car, Strategy, Predictions (only when the live server sends a projection), Race control & radio, Lap charts, Engineer AI and Feed.
Practice and qualifying sessions get their own profile: best laps, sector colours, long runs and session status.
The telemetry tab replays one lap per driver, fastest clean or representative, with speed, throttle, brake, gear and g forces against the circuit map.
/recon/<circuit> previews a circuit before its Grand Prix from the previous season's pole lap: the line the car took in 3D with its recorded height, as a tour of its braking zones, one at a time. The arrow keys or the buttons move to the previous or next zone with the camera still on it, and a panel shows what the lap's car data measured there: entry speed, minimum speed, braking distance, time on the brakes, gear at the minimum and height change. It is labelled approximate, with the data's sampling rate and the reference session. The whole lap plays only when asked, never by itself. A minimap and a height profile show where the zone sits.
This is the beginning of the README. Read the rest at the original. Read the full README ↗