Round 24 · 2025 · 7 Dec

Yas Marina Circuit

Abu Dhabi, UAE

Results & qualifying →

Race debrief

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Elo × qualifying → race result

Did they beat the expectation?

Experimental · v1
Model & data

A strong driver recovering from a poor qualifying position isn't automatically a surprise. This model estimates a finish from both pre-race Elo and qualifying, then compares it with what happened.

Expected finish assumes a classified finish. DNFs stay in the full grid but receive no performance verdict. Qualifying is not the starting grid; grid differences are flagged, not silently substituted.

Fit on 634 earlier finishes across 38 races, 2016–2025. No results from this race enter its expectation.

20 stored results 20/20 Elo snapshots 20/20 numbered grid slots 20/20 qualifying results

Missing Elo or qualifying stays visible in the full grid. A grid position is not used as a qualifying result.

Top 3

Beat the estimate
  1. Nico Hülkenberg Sauber · Elo #16 · Q18

    Expected P14.3 Finished P9

    +5.3places
  2. Lance Stroll Aston Martin · Elo #19 · Q15

    Expected P13.9 Finished P10

    +3.9places
  3. Lewis Hamilton Ferrari · Elo #7 · Q16

    Expected P10.6 Finished P8

    +2.6places

Flop 3

Below the estimate
  1. Isack Hadjar RB F1 Team · Elo #10 · Q9

    Expected P8.3 Finished P17

    −8.7places
  2. Liam Lawson RB F1 Team · Elo #13 · Q13

    Expected P11.1 Finished P18

    −6.9places
  3. Andrea Kimi Antonelli Mercedes · Elo #6 · Q14

    Expected P9.4 Finished P15

    −5.6places
20/20 entrants assessed. DNFs excluded. How we rank

Up to three per side, ranked by expected minus actual finish. DNFs, missing estimates and gaps rounding to 0.0 are excluded. “Flop” means below the model's estimate—not poor driving. A ranked gap can still be inside the usual error range.

Full grid: pre-race Elo rank, qualifying position, estimated finish, actual result and difference from expectation. Positive differences mean finishing ahead of the estimate.
DriverPre-race EloQualifyingExpectedResultP1 ← position → P20vs expectedReading
M. VerstappenRed Bull #12581 P1 P1.9P1–P6 P1 +0.9places In range
O. PiastriMcLaren #42431 P3 P3.7P1–P8 P2 +1.7places In range
L. NorrisMcLaren #32458 P2 P3.0P1–P7 P3 0.0places In range
C. LeclercFerrari #52345 P5 P5.0P1–P9 P4 +1.0places In range
G. RussellMercedes #22478 P4 P3.6P1–P7 P5 −1.4places In range
F. AlonsoAston Martin #112132 P6 P7.3P3–P11 P6 +1.3places In range
E. OconHaas F1 Team #152071 P8 P9.4P6–P13 P7 +2.4places In range
L. HamiltonFerrari #72236 P16 P10.6P7–P14 P8 +2.6places In range
N. HülkenbergSauber #162051 P18 P14.3P11–P18 P9 +5.3places Above range
L. StrollAston Martin #192002 P15 P13.9P10–P18 P10 +3.9places In range
G. BortoletoSauber #172010 P7 P9.6P6–P13 P11 −1.4places In range
O. BearmanHaas F1 Team #92144 P11 P8.9P5–P13 P12 −3.1places In range
C. SainzWilliams #82171 P12 P9.1P5–P13 P13 −3.9places In range
Y. TsunodaRed Bull #122116 P10 P9.4P6–P13 P14 −4.6places Below range
A. AntonelliMercedes #62280 P14 P9.4P6–P13 P15 −5.6places Below range
A. AlbonWilliams #142112 P17 P13.2P9–P17 P16 −2.8places In range
I. HadjarRB F1 Team #102134 P9 P8.3P5–P12 P17 −8.7places Below range
L. LawsonRB F1 Team #132113 P13 P11.1P7–P15 P18 −6.9places Below range
P. GaslyAlpine F1 Team #182006 P19 P15.4P12–P19 P19 −3.6places In range
F. ColapintoAlpine F1 Team #201964 P20 P16.5P13–P20 P20 −3.5places In range
How useful is the model? See the historical check

Average absolute error on 634 classified finishes in 38 earlier races within the last ten years. Each race was held out and predicted using only older races; all three models use the same samples.

Elo + qualifying
2.16places
Qualifying only
2.36places
Elo only
2.62places

The range scales the 80th percentile of earlier held-out absolute errors to this field size, rounding outward. It is an empirical error guide, not a guaranteed 80% chance for a particular driver. We require at least five checked races and 100 checked finishes before showing it.

Inputs are field-normalised Elo rank and qualifying position. The target is position among all race entries, trained only on classified finishers. Estimates are averages, not a unique predicted finishing order. Penalties, the circuit, weather, incidents and strategy aren't model inputs. Historical qualifying coverage is patchy; this is an exploratory backtest on corrected records, not proof of live forecasting accuracy.

The rating ledger

What changed in Elo?

These are actual rating changes. The expectation model above does not change Elo or fantasy scoring.

Largest Elo gain

Ocon+33.7 Elo

The bigger picture

Championship after this round

Top five in the stored standings. Points include sprint results where applicable.

  1. 1 Norris 423pts 0
  2. 2 Verstappen 421pts 0
  3. 3 Piastri 410pts 0
  4. 4 Russell 319pts 0
  5. 5 Leclerc 242pts 0

Movement since round 23. A dash means the earlier standing is unavailable.

Explore the season →
Across the garage

Teammate results

Two-driver constructor entries from this race. A result comparison, not an adjustment for strategy or reliability.

McLaren

PiastriP2+18.2 Elo
NorrisP3+10.3 Elo

1 place apart at the finish.

Q3 · Norris 0.029s faster

Williams

SainzP13−12.2 Elo
AlbonP16−21.1 Elo

3 places apart at the finish.

Q1 · Sainz 0.229s faster

RB F1 Team

HadjarP17−29.5 Elo
LawsonP18−32.2 Elo

1 place apart at the finish.

Q2 · Hadjar 0.080s faster

What this analysis can—and cannot—tell you

This debrief is calculated from stored results and rating snapshots. The experimental expectation model learns from earlier races only, using Elo rank and qualifying together; it never feeds back into Elo. It is not a separately reviewed race report.

Elo uses the result order, including retirements. It does not isolate driver skill from the car, reliability, penalties or strategy. Elo seed comparisons use pre-race ratings, never today's ratings. Equal ratings share the midpoint of their rank range (for example, tied first and second become seed 1.5).

Grid gains use numbered starting slots and classified finishes only. Zero or missing grid values are excluded; a position gained is not necessarily an overtake. Qualifying gaps use the latest segment both teammates have a valid time for, never Q1 against Q3.

Lap-by-lap pace, tyre stints, pit-stop execution and safety-car effects are not available in this report. Missing data is omitted, not inferred.

Read the Elo methodology →