Formula 1 analytics, in depth
Explainers, methodology, and deep-dive analysis for every aspect of F1 data.
The Garage exists because data without explanation is noise. A qualifying gap of +0.148 seconds means nothing until you know the track length, the conditions, and the mechanical advantage of the cars involved. A pit stop time of 2.14 seconds is impressive until you learn that the fastest team in history managed 1.80. This section takes the numbers that appear across Quelvor and explains what they mean, how they are calculated, and why they matter. Every concept is built from first principles — no assumptions about prior knowledge, but no dumbing down either.
“Formula 1 is the most data-rich sport on earth. Every lap generates 300 data points. We make them readable.”
Analysis pipeline
Collection
Raw timing data sourced from FIA publications, Formula 1 media feeds, and verified historical archives. Every data point has a documented origin.
Verification
Cross-referenced against at least two independent sources. Discrepancies are investigated and documented. FIA-official figures take precedence.
Analysis
Statistical analysis applied: normalisation, trend identification, gap calculations. Methodology documented transparently for every metric we publish.
Publication
Data presented with editorial context. Every table has a context paragraph and a takeaway. Numbers never float in isolation.
Explainers
What Is a Qualifying Gap?
The qualifying gap measures the time difference between drivers over a single timed lap. A gap of +0.100s means one-tenth slower than the reference time. Context matters: track length, weather, and fuel loads all affect interpretation.
Understanding Pit Stop Windows
The pit window is the range of laps during which a stop is strategically optimal. Calculated from tyre degradation rate, pit lane time loss (22-25s), and traffic patterns. We walk through a real example from the 2025 Spanish Grand Prix.
DRS Effectiveness Metrics
DRS opens a rear-wing flap when a driver is within 1 second of the car ahead. Speed gain varies by circuit: 10-15 km/h typically, up to 20 km/h at Monza. We measure effectiveness via speed differential, overtake completion rate, and distance gained.
Tyre Degradation Curves Explained
Every F1 tyre compound (C1-C5) has a performance window. The degradation curve plots lap time against lap number. A "cliff" -- sudden performance drop-off -- is the most dangerous scenario. We explain how to read these curves and why circuits differ.
The Points System: How F1 Scores Its Championship
The current system awards 25-18-15-12-10-8-6-4-2-1 for P1-P10, plus sprint points and fastest lap bonus. We trace the evolution from 1950's 8-6-4-3-2 to the current 25-point structure and explain why distribution matters.
Safety Car Probability and Its Impact on Strategy
Over the last 10 seasons, approximately 62% of races featured at least one safety car. Street circuits average 1.8 per race; purpose-built circuits average 0.7. This probability directly affects tyre strategy decisions.
Methodology note
All statistical analysis published on Quelvor follows a documented methodology. Lap time normalisation accounts for fuel load, tyre compound, and weather conditions where data is available. Gap calculations use official FIA sector timing rather than television graphics. Where approximations or estimates are used, they are explicitly identified.
We do not use predictive models. Our analysis is retrospective and descriptive: we explain what happened and, where the data supports it, why. The distinction between description and prediction is fundamental to our editorial approach.
Frequently asked questions
Our primary data sources are officially published FIA timing data, Formula 1 media feeds, and historical archives (publicly available timing sheets from 1950 to present). We supplement this with odds-market data from licensed UK operators for contextual analysis. All statistics are verified against at least two independent sources before publication.
No. Quelvor presents historical data, statistical analysis, and editorial stories about Formula 1. We do not make predictions, offer tips, or recommend bets. Our editorial stance is that data describes what has happened, not what will happen.
Quelvor verifies some statistical data against odds-market data provided by UKGC-licensed operators. These commercial partnerships help fund the platform. They do not influence our editorial content, our analytical methodology, or our choice of stories.
Our editorial team comprises F1 data analysts, sports journalists, and engineering specialists. See the About page for individual profiles and backgrounds.
You may reference Quelvor data with attribution ("Source: Quelvor"). For commercial use, academic citation, or media enquiries, please contact us.
Race results and standings updated within 4 hours of race completion. Qualifying data updated within 1 hour of session end. Circuit profiles and historical data reviewed annually. Stories published on editorial schedule (typically 2-3 per race weekend).
What readers say
“The pit stop window explainer with the Spanish Grand Prix example is the single best piece of strategy education I've found online. My dissertation cites it.”
— V.
“I run a sports data company and Quelvor's methodology documentation is best-in-class. Transparent, reproducible, and honestly communicated.”
— L.