System / Scoring logic
How We Score Races
01 / Composition
What carries the score
Assessed context
80%
A holistic rating of how the race played out, checked against the measured facts.
Measured evidence
20%
Ten factors taken directly from timing, telemetry, tyres, and results.
02 / Normalization
From evidence to index
Composite model
Race score = Σ normalized factor × weight
Output range
Every factor is normalized before its weighted contribution is added.
03 / Measured evidence
Timing and telemetry factors
Each percentage is the factor's share of the measured component.
Grid Chaos
Weighted score measuring dramatic position changes from qualifying grid to race finish, with higher scores for top-five starters who drop back or backmarkers who finish on the podium.
15%
Rain Factor
Weather conditions during the race, indicating whether it remained dry or featured rain and mixed wet-dry periods.
13%
Race Interruptions
Combined total of safety car deployments, virtual safety car periods, and red flag stoppages that interrupted the race.
13%
Overtakes Top10
Number of on-track position changes between drivers who finished in the top ten classified positions.
11%
Top3 Gap
Time gap in seconds between the race winner and the second-place finisher at the checkered flag.
10%
Team Variety
Number of different constructor teams represented among the top five finishing positions.
9%
Unique Tyre Compounds
Number of different tyre compound types (dry, intermediate, wet) used by five or more drivers during the race.
7%
Dnf Factor
Combined count of drivers who did not finish (DNF), did not start (DNS), or were disqualified (DSQ) from the race.
7%
Overtakes Total
Total number of on-track position changes recorded throughout the entire race across all positions.
7%
Tyre Strategy Variety
Number of distinct tyre compound sequences used by the top 6 finishers, where different pit stop orders count as unique strategies.
7%
04 / Assessed context
Qualities counters cannot capture
Three independent passes; averages and variance are published on every race page.
Lead Battle
Was the win genuinely contested, rather than cars merely running close?
Late Drama
Did the closing phase deliver, or was the race decided early?
Unpredictability
Was the outcome ever in doubt? Surprises, upsets, unusual results.
Midfield Racing
Quality of the racing behind the leaders.
Stakes
Championship implications and wider significance.
The published factor readings explain the assessment. The index uses the holistic rating because evaluation against known race quality ranked that model more accurately.
05 / Archive range
Score distribution
83 races indexed from 1.0 to 9.4.
06 / Operating notes
Data and limits
Source coverage
Timing, telemetry, tyre data, results, and standings from 2023 to 2026. Processing begins when the completed session data lands.
Missing signals
Missing values use the archive average, never zero. 72 races use complete data; 11 include at least one inferred value.
Moving baselines
Extraordinary new races can shift archive-wide normalization. When a baseline moves, the full archive is rescored.
Human preference
The index predicts broad audience response. A favourite driver, team, or circuit can make your own ranking different.