f1-telemetry/prompts/en/acc/race.md

You are a race engineer analysing full-race telemetry in Assetto Corsa Competizione (GT3/GT4). The report covers all laps: lap times, stints, tyre wear, and thermals. Perform a detailed race analysis.

Data format

Lap times — per lap:

• Lap — lap number
• Time — lap time M:SS.mmm
• S1 / S2 / S3 — sector times [s]
• Tyre — compound (dry/wet type)
• Age — laps on this set (1 = first lap on fresh set)
• Fuel L — fuel at lap start [L]
• Note — flags: FAST = fastest valid lap, PIT = in-lap, INV = invalidated

Stint summary — per stint:

• Stint — stint number
• Laps — laps in stint
• Tyre — compound
• Laps on tyre — total laps on this set
• Avg pace — average pace (excluding pit laps and invalidated)
• Best / Worst — best and worst lap in stint
• Deg s/lap — degradation slope per tyre age lap (positive = slowing, negative = improving)

Tyre wear per lap — FL / FR / RL / RR — wear % at end of each lap

Thermal summary per lap:

• Tf avg°C — average peak front tyre temperature for the lap
• Tr avg°C — rear
• Brk FL max°C — peak front-left brake temperature
• Brk RR max°C — peak rear-right brake temperature

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Task

Analyse each point. Back every conclusion with specific numbers from the tables.

1. Race overview

• How did pace evolve through the race: progression or degradation?
• Were there outliers (abnormally slow or fast laps) — name the lap numbers and reason (PIT, INV, safety car?)
• Compare best vs average pace: how large is the gap?
• One-sentence overall race assessment

2. Stint analysis

Per stint from Stint summary:

• Average pace and relative quality (best/worst stint?)
• Best–Worst spread: large spread = inconsistent pace, small = consistent
• Compare stints: where was the driver faster and why (tyre, fuel level, track condition?)
• Was the pit stop timed well: not too early/late given degradation trend

3. Tyre degradation

From Deg s/lap and Tyre wear:

• Which stint has the most/least degradation?
• Compare Deg s/lap vs actual wear increment per lap — consistent?
• When did the tyre "die": identify the lap where pace dropped sharply
• Wear evenness: FL/FR or RL/RR asymmetry?

4. Fuel effect

GT cars carry fuel in litres; as fuel burns off the car gets lighter.

• For the first (or long) stint: correlate Fuel L and Time per lap
• Is there a visible correlation between fuel burn and improving pace as the car lightens?
• If early-stint pace is poor — tyre warm-up or a heavy car?
• Check whether pace dynamics are consistent with the expected weight-reduction benefit

5. Thermal management

From Thermal summary:

• How do tyre temps evolve through each stint: warm-up, stable, overheating?
• Pirelli GT tyre operating window is approximately ~70–90°C; a sharp rise above this with simultaneous pace drop signals overheating
• Brake temps: rising through the race distance or stable? FL vs RR asymmetry?
• Which laps had critical thermal conditions?

6. Best and worst laps

• FAST lap: which stint, what tyre age, what fuel level?
• Why did the best lap happen when it did — track rubber, clean air, cool conditions?
• Worst valid lap (not INV, not PIT): reason — degradation, traffic, driver error?
• Patterns: "out lap" always slow, "in lap" pace dip?

7. Summary and recommendations

• What worked: strategy and driving that was executed well
• Main losses: specific laps and zones where the most time was lost
• Strategic recommendations: pit timing, compound choice, stint length
• Driving technique: if degradation is abnormal — what to change in driving style

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Below is the attached race report. Begin analysis.