🏎️ Data-Driven F1 Content

F1 Data & Fantasy Engine

AI-generated race weekend briefings, strategy analysis, and fantasy picks — powered by FastF1 data, not hot takes. Every race, every session, automated.

See Sample Briefing

What We Build

An automated content engine that pulls F1 telemetry, timing, and historical data to generate race weekend content — qualifying analysis, strategy breakdowns, and model-driven fantasy picks.

📊

Telemetry Analysis

Corner-by-corner speed, braking, and sector data from every session. We spot underperformance, setup gains, and pace differentials that commentators miss.

🎯

Strategy Insights

Tyre degradation curves, pit window predictions, and undercut/overcut probability analysis — generated from historical data and current session conditions.

🏆

Fantasy F1 Picks

Model-driven driver and constructor picks for F1 Fantasy and GridRival. We optimise for points, not popularity — using expected finishing position, pace rank, and volatility.

🤖

Automated Generation

Briefings auto-generate within 2 hours of each session ending. Race weekend content goes live while you sleep. Data sourced from FastF1 and the Ergast API.

📈

Season Tracking

Performance trends, development race analysis, and power ranking updates after each race. See which teams are gaining or losing pace over the season.

🌏

Evergreen Content

Beyond race weekends: historical comparisons, "greatest drives" data analysis, and explainers. Content that ranks in search and builds audience year-round.

Race Weekend Content Cadence

Every race weekend, we publish a structured content series — automatically generated from live data.

Thursday

Pre-Race Preview

Track characteristics, historical data, weather forecast impact, and key storylines to watch.

Friday

Practice Analysis

FP1 & FP2 pace rankings, long-run pace, tyre behaviour, and early fantasy implications.

Saturday

Qualifying Report

Session breakdown, sector analysis, and updated fantasy picks based on grid positions.

Sunday

Race Report

Strategy breakdown, key moments, performance scores, and post-race fantasy results.

Monday

Weekly Wrap

Updated power rankings, season standings analysis, and next-race preview teaser.

Sample Race Weekend Briefing

Here's the template for our automated race weekend briefing — published Saturday evening after qualifying.

🏁 Race Weekend Briefing — [Grand Prix Name]

📅 [Date] · 🏟️ [Circuit Name, Country] · 📊 Data as of Qualifying · ⏱️ Auto-generated [timestamp] ACDT

Track Profile

Circuit: [Name] · Length: [X.XXX km] · Laps: [N] · Turns: [N]
Typical stint length: [X] laps (medium tyre) · DRS zones: [N] · Overtaking difficulty: [Low/Medium/High]
Historical pole-to-win rate: [XX]% · Average pit stops: [X.X]

Qualifying Results & Analysis

PosDriverTeamQ TimeGap to PoleNotes
1[Driver][Team][M:SS.mmm]—[Key observation]
2[Driver][Team][M:SS.mmm]+[X.XXX][Key observation]
3[Driver][Team][M:SS.mmm]+[X.XXX][Key observation]
..................

Analysis: [AI-generated analysis of qualifying: who overperformed/underperformed, sector strengths, and what it means for the race.]

Strategy Outlook

  • Expected race pace order: [Based on FP2 long-run data — who has race pace vs. qualifying pace]
  • Tyre strategy prediction: [Most likely strategy: e.g., Medium→Hard 1-stop, 65% probability]
  • Pit window: Laps [X–Y] for first stop · [A–B] for second (if 2-stop)
  • Undercut risk: [High/Medium/Low] — [explanation based on track characteristics and tyre data]
  • Weather: [Forecast] · [Chance of rain: X%] · [Impact assessment]
  • Safety car probability: [XX]% based on historical data at this circuit

Fantasy F1 Picks

Top Pick
[Driver Name]
Expected P[X] · Pace rank #[N] · Value: $[X.X]M
Value Pick
[Driver Name]
Underpriced vs. expected finish · Overtake potential +[N]
Avoid
[Driver Name]
Overpriced · Poor race pace · High grid penalty risk
Wildcard
[Driver Name]
High variance · Weather-dependent · Could win or DNF

Constructor pick: [Team] — [rationale based on both cars' pace and reliability]
Budget allocation: [Recommended spend split between drivers and constructor]
Chip strategy: [Use/hold — recommendation with reasoning]

Key Data Points

  • Fastest sector this weekend: [Driver] — Sector [N] at [time]
  • Biggest pace improvement: [Team] improved [X.X]% from FP1 to Q3
  • Tyre wear leader: [Driver/Team] — [X.X]s per stint degradation rate
  • Top speed trap: [Driver] — [XXX] km/h
  • Braking efficiency: [Driver] — [X]% braking stability score

Watch List

  • 🎯 [Key battle to watch: e.g., "Norris vs Verstappen into Turn 1 — 0.3s qualifying gap suggests close racing"]
  • ⚡ [Potential flashpoint: e.g., "Hulkenberg starting P6 with old-spec wing — vulnerable on straights"]
  • 🌧️ [Weather factor: e.g., "15% chance of light rain at Lap 35 — intermediates may come into play"]

Monetisation Path

📧 Free Newsletter + Ads

~$200–500/mo

Free race weekend briefings via email and GeniusTechLab. Monetised with display ads + F1 TV / merchandise affiliate links.

  • Target: 5K monthly pageviews
  • Affiliate: F1 TV Pro, merchandise stores
  • Display ads via Google AdSense

🏆 Fantasy F1 Edge Newsletter

$8/month

Paid tier with model-driven fantasy picks, Discord community, and custom optimisation tools for serious players.

  • Target: 500 subscribers = $4K/month
  • In-season focus (March–December)
  • GridRival + F1 Fantasy coverage

📡 Data API Licensing

$1K–3K/month

License real-time strategy insights API to F1 media outlets, fantasy platforms, or sportsbooks' content teams.

  • Custom data products per licensee
  • Widget/embed options for media
  • Season-long contracts

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