F1 Race Review

Scoring Dimension Analytics

This page shows how each scoring dimension performs on average across all 71 races in the database. The average normalized score shows how highly each dimension typically scores (0-10 scale), while the average contribution shows how much each dimension actually contributes to the final worthwhileness score. Learn more about our scoring methodology →

Total Races Analyzed

71

Average Final Score

6.03

Dimension Performance

This chart visualizes how much each dimension category contributes to the final worthwhileness score for every 2025 F1 race. Each stacked bar shows the relative contribution of weather, competition, incidents, and strategy factors, helping identify which types of excitement drove each race's score.

New to our scoring system? Visit our methodology page to understand how each dimension is calculated and why it matters for race quality.

Dimension Wt Raw Nrm Score %

Racing Quality

Overtakes_Top10

0.25 19.01 3.59 0.9 15%

Overtakes_Total

0.15 46.09 4.01 0.6 10%

Weather

Rain_Factor

0.20 18% 1.83 0.37 6%

Interruptions

Race_Interruptions

0.20 1.25 2.99 0.6 10%

Dnf_Factor

0.03 2.28 4.48 0.13 2%

Strategy

Tyre_Strategy_Variety

0.20 2.62 6.51 1.3 21%

Unique_Tyre_Compounds

0.02 1.11 5.56 0.11 2%

Competition & Finishing Order

Top3_Gap

0.20 8.96 6.16 1.23 20%

Grid_Chaos

0.10 30.96 3.86 0.39 6%

Team_Variety

0.05 3.55 8.8 0.44 7%

How to Read This Table

Weight: How important this dimension is in the scoring formula (all weights sum to 1.0). See full methodology →

Avg Raw Value: The average raw value of this metric across all races. For boolean dimensions, shows the percentage of races where it was true.

Avg Normalized: The average score after normalization to a 0-10 scale. Higher means this dimension typically scores high.

Contribution: Weight × Avg Normalized Score. This is the actual average contribution to the final score.

% of Total: What percentage of the average final score comes from this dimension.