Round 22 · 2021 · 12 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 620 earlier finishes across 36 races, 2012–2021. 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. Yuki Tsunoda AlphaTauri · Elo #17 · Q8

    Expected P10.1 Finished P4

    +6.1places
  2. Pierre Gasly AlphaTauri · Elo #9 · Q12

    Expected P9.2 Finished P5

    +4.2places
  3. Mick Schumacher Haas F1 Team · Elo #19 · Q19

    Expected P15.5 Finished P14

    +1.5places

Flop 3

Below the estimate
  1. Charles Leclerc Ferrari · Elo #4 · Q7

    Expected P5.4 Finished P10

    −4.6places
  2. Daniel Ricciardo McLaren · Elo #8 · Q10

    Expected P8.0 Finished P12

    −4.0places
  3. Lance Stroll Aston Martin · Elo #12 · Q13

    Expected P10.6 Finished P13

    −2.4places
14/20 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 #22484 P1 P2.1P1–P6 P1 +1.1places In range
L. HamiltonMercedes #12590 P2 P2.3P1–P6 P2 +0.3places In range
C. SainzFerrari #32337 P5 P4.2P1–P8 P3 +1.2places In range
Y. TsunodaAlphaTauri #171994 P8 P10.1P6–P14 P4 +6.1places Above range
P. GaslyAlphaTauri #92216 P12 P9.2P5–P13 P5 +4.2places In range
V. BottasMercedes #52297 P6 P5.3P2–P9 P6 −0.7places In range
L. NorrisMcLaren #72262 P3 P4.6P1–P8 P7 −2.4places In range
F. AlonsoAlpine F1 Team #112189 P11 P9.4P6–P13 P8 +1.4places In range
E. OconAlpine F1 Team #102205 P9 P8.2P4–P12 P9 −0.8places In range
C. LeclercFerrari #42312 P7 P5.4P2–P9 P10 −4.6places Below range
S. VettelAston Martin #132095 P15 P11.8P8–P16 P11 +0.8places In range
D. RicciardoMcLaren #82228 P10 P8.0P4–P12 P12 −4.0places In range
L. StrollAston Martin #122102 P13 P10.6P7–P14 P13 −2.4places In range
M. SchumacherHaas F1 Team #191835 P19 P15.5P12–P19 P14 +1.5places In range
S. PérezRed Bull #62295 P4 P4.8P1–P9 DNFEngine — Not assessedDNF: Engine
N. LatifiWilliams #181939 P16 P13.9P10–P18 DNFAccident — Not assessedDNF: Accident
A. GiovinazziAlfa Romeo #142068 P14 P11.7P8–P16 DNFGearbox — Not assessedDNF: Gearbox
G. RussellWilliams #161997 P17 P13.7P10–P17 DNFGearbox — Not assessedDNF: Gearbox
K. RäikkönenAlfa Romeo #152066 P18 P13.8P10–P18 DNFBrakes — Not assessedDNF: Brakes
N. MazepinHaas F1 Team #201817 P20 P16.3P12–P20 DNFIllness — Not assessedDNF: Illness
How useful is the model? See the historical check

Average absolute error on 620 classified finishes in 36 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
2.21places
Qualifying only
2.44places
Elo only
2.70places

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

Tsunoda+61.5 Elo

Largest Elo loss

Pérez−44.4 Elo

Largest grid-to-finish gain

Gasly+7 places

The bigger picture

Championship after this round

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

  1. 1 Verstappen 395.5pts 0
  2. 2 Hamilton 387.5pts 0
  3. 3 Bottas 226pts 0
  4. 4 Pérez 190pts 0
  5. 5 Sainz 164.5pts +2

Movement since round 21. 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.

Red Bull

VerstappenP1+19.1 Elo
PérezDNF−44.4 Elo

Non-finish recorded; no finishing gap comparison.

Q3 · Verstappen 0.838s faster

Ferrari

SainzP3+22.5 Elo
LeclercP10−16.5 Elo

7 places apart at the finish.

Q3 · Sainz 0.130s faster

Williams

LatifiDNF−4.2 Elo
RussellDNF−22.8 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Latifi 0.085s 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 →