Methodology
Methodology — Racing Riyadh research standards, data sourcing, and editorial process for motorsport intelligence.
Methodology
Racing Riyadh produces institutional-grade intelligence on motorsport in Saudi Arabia through a rigorous research methodology that combines primary source verification, quantitative data analysis, expert consultation, and continuous monitoring of the Formula 1, Formula E, Dakar Rally, and racing events ecosystem. This methodology page describes our research standards, data sourcing approach, quality control processes, and editorial independence commitments.
Research Standards
All Racing Riyadh intelligence products — including deep-dive analyses, entity profiles, comparisons, dashboards, intelligence briefs, and guides — are produced to standards consistent with institutional research requirements. Our methodology is designed to serve professionals in investment, corporate strategy, consulting, government, and media who require reliable, verifiable intelligence on Saudi motorsport markets.
Primary Source Priority: We prioritize primary source data including FIA official results and regulations, Formula One Management financial disclosures (Liberty Media quarterly reports, NASDAQ: FWONK), ASO official Dakar Rally results and competitor data, Saudi government publications (Ministry of Sports, General Authority for Statistics), hotel performance data from CoStar/STR Global, and direct observation at events.
Quantitative Rigor: Market size estimates, economic impact figures, and performance metrics are derived from verifiable data sources wherever possible. Where official figures are not published (as with certain hosting fee amounts or sponsorship values), we provide estimated ranges based on industry benchmarks, comparable venue agreements, and analyst consensus. All estimates are clearly labeled as such.
Multi-Source Verification: Key claims are verified against multiple independent sources before publication. For example, the Saudi Arabian Grand Prix’s $240 million economic impact figure is cross-referenced against hotel performance data (82.5 percent occupancy, RevPAR up 32.7 percent), employment estimates (approximately 20,000 jobs sustained), and comparable event impact studies.
Data Sources
Official Race Results: FIA timing and scoring data provides verified race results, qualifying positions, fastest laps, and championship standings. The 2025 Saudi Arabian Grand Prix result (Oscar Piastri, McLaren, 1:21:06.758, 50 laps) and 2025 Dakar Rally results (Yazeed Al Rajhi, Toyota; Daniel Sanders, KTM) are sourced from official classifications.
Financial Data: Liberty Media quarterly financial reports provide Formula 1 revenue and EBITDA data (approximately $3.2 billion revenue, $997 million EBITDA). Guggenheim Partners analysis provides revenue impact estimates for calendar changes. PIF portfolio disclosures inform investment stake assessments (approximately 60 percent Lucid Motors ownership).
Hotel Performance: CoStar and STR Global provide independent hotel market data including occupancy rates, average daily rates, and revenue per available room. Grand Prix weekend performance data (82.5 percent occupancy, SR833.79 ADR, SR688 RevPAR, 96.5 percent peak-night occupancy) is derived from these industry-standard sources.
Competitor and Participation Data: Dakar Rally competitor counts (807 in 2025), Formula E grid composition (22 drivers, 11 teams, 6 manufacturers), and F1 season attendance (6.7 million record in 2025) are sourced from official series publications.
Infrastructure Data: Qiddiya Speed Park specifications ($500 million investment, 21 corners, 70-meter Blade, 80 garages, Tilke/Wurz design) are sourced from official Qiddiya Investment Company publications and FIA/Tilke project documentation.
Editorial Process
Racing Riyadh content is produced by analysts with expertise in motorsport, Gulf economics, infrastructure development, and institutional analysis. Our editorial process includes initial research and data gathering from primary sources, draft production with inline source attribution, internal review for factual accuracy and analytical rigor, publication with clear sourcing and methodology notes, and post-publication correction within 48 hours upon notification.
Evaluation Standards
Our entity profiles use standardized evaluation criteria covering organizational structure, competitive positioning, financial metrics, strategic direction, and risk factors. This consistent framework enables meaningful comparison across entities and across time periods.
Our comparisons use parallel analytical frameworks that examine the same dimensions for each comparand, avoiding asymmetric analysis that could mislead readers. Quantitative comparisons use consistent data sources and measurement periods.
Editorial Independence
Racing Riyadh maintains editorial independence from the entities we cover. We have no financial relationship with the Saudi Motorsport Company, Formula One Management, Formula E Operations, ASO, or any team, sponsor, or government entity covered in our analysis. Our revenue model is based on advertising (Google AdSense) and premium subscriptions, not commercial relationships with covered entities.
Our analysis includes critical assessment where warranted, including risk analysis covering safety concerns, reputational challenges, execution risks, and commercial vulnerabilities. The risk analysis report and scenario assessments in our future outlook demonstrate our commitment to balanced, unflinching analysis.
Corrections and Updates
We commit to correcting factual errors within 48 hours of notification. Corrections are implemented with clear notation of what was changed and when. Please report any errors or corrections to info@racingriyadh.com with subject line “Editorial.”
Content is updated to reflect new developments including race results, construction progress, regulatory changes, and commercial developments. Update dates are noted in frontmatter metadata. Our dashboards are updated on a regular monitoring cycle.
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Updated March 2026. Contact info@racingriyadh.com for corrections.