Round 21 · 2019 · 1 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 632 earlier finishes across 37 races, 2010–2019. 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. Daniil Kvyat Toro Rosso · Elo #13 · Q14

    Expected P11.2 Finished P9

    +2.2places
  2. Sergio Pérez Racing Point · Elo #9 · Q11

    Expected P8.6 Finished P7

    +1.6places
  3. Max Verstappen Red Bull · Elo #3 · Q3

    Expected P3.3 Finished P2

    +1.3places

Flop 3

Below the estimate
  1. Pierre Gasly Toro Rosso · Elo #8 · Q12

    Expected P8.8 Finished P18

    −9.2places
  2. Robert Kubica Williams · Elo #20 · Q20

    Expected P15.9 Finished P19

    −3.1places
  3. Daniel Ricciardo Renault · Elo #11 · Q8

    Expected P7.9 Finished P11

    −3.1places
19/20 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
L. HamiltonMercedes #12636 P1 P1.9P1–P6 P1 +0.9places In range
M. VerstappenRed Bull #32414 P3 Grid P2 P3.3P1–P7 P2 +1.3places In range
C. LeclercFerrari #42354 P4 Grid P3 P4.1P1–P8 P3 +1.1places In range
V. BottasMercedes #22446 P2 Grid P20 P2.6P1–P6 P4 −1.4places In range
S. VettelFerrari #52267 P5 Grid P4 P4.8P1–P8 P5 −0.2places In range
A. AlbonRed Bull #62261 P6 Grid P5 P5.6P2–P9 P6 −0.4places In range
S. PérezRacing Point #92177 P11 Grid P10 P8.6P5–P12 P7 +1.6places In range
L. NorrisMcLaren #102145 P7 Grid P6 P7.2P4–P11 P8 −0.8places In range
D. KvyatToro Rosso #132110 P14 Grid P13 P11.2P8–P15 P9 +2.2places In range
C. SainzMcLaren #72232 P9 Grid P8 P7.2P4–P11 P10 −2.8places In range
D. RicciardoRenault #112143 P8 Grid P7 P7.9P4–P12 P11 −3.1places In range
N. HülkenbergRenault #142107 P10 Grid P9 P9.7P6–P13 P12 −2.3places In range
K. RäikkönenAlfa Romeo #122117 P18 Grid P17 P12.6P9–P16 P13 −0.4places In range
K. MagnussenHaas F1 Team #172001 P15 Grid P14 P12.8P9–P16 P14 −1.2places In range
R. GrosjeanHaas F1 Team #181971 P16 Grid P15 P13.5P10–P17 P15 −1.5places In range
A. GiovinazziAlfa Romeo #152062 P17 Grid P16 P13.1P9–P17 P16 −2.9places In range
G. RussellWilliams #191932 P19 Grid P18 P15.2P12–P19 P17 −1.8places In range
P. GaslyToro Rosso #82224 P12 Grid P11 P8.8P5–P12 P18 −9.2places Below range
R. KubicaWilliams #201885 P20 Grid P19 P15.9P12–P20 P19 −3.1places In range
L. StrollRacing Point #162055 P13 Grid P12 P11.6P8–P15 DNFBrakes — Not assessedDNF: Brakes
How useful is the model? See the historical check

Average absolute error on 632 classified finishes in 37 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
2.17places
Qualifying only
2.38places
Elo only
2.68places

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

Leclerc+21.6 Elo

Largest Elo loss

Gasly−55.2 Elo

Largest grid-to-finish gain

Bottas+16 places

The bigger picture

Championship after this round

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

  1. 1 Hamilton 413pts 0
  2. 2 Bottas 326pts 0
  3. 3 Verstappen 278pts 0
  4. 4 Leclerc 264pts 0
  5. 5 Vettel 240pts 0

Movement since round 20. 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.

Ferrari

LeclercP3+21.6 Elo
VettelP5+20.4 Elo

2 places apart at the finish.

Q3 · Leclerc 0.120s faster

Racing Point

PérezP7+20.9 Elo
StrollDNF−42.9 Elo

Non-finish recorded; no finishing gap comparison.

Q2 · Pérez 0.048s faster

McLaren

NorrisP8+19.5 Elo
SainzP10−6.0 Elo

2 places apart at the finish.

Q3 · Norris 0.023s faster

Toro Rosso

KvyatP9+18.3 Elo
GaslyP18−55.2 Elo

9 places apart at the finish.

Q2 · Gasly 0.052s faster

Williams

RussellP17−8.0 Elo
KubicaP19−15.5 Elo

2 places apart at the finish.

Q1 · Russell 0.519s 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 →