Round 17 · 2020 · 13 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 623 earlier finishes across 36 races, 2011–2020. 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. Max Verstappen Red Bull · Elo #7 · Q1

    Expected P3.8 Finished P1

    +2.8places
  2. Pierre Gasly AlphaTauri · Elo #12 · Q10

    Expected P9.2 Finished P8

    +1.2places
  3. Alexander Albon Red Bull · Elo #6 · Q5

    Expected P5.2 Finished P4

    +1.2places

Flop 3

Below the estimate
  1. Charles Leclerc Ferrari · Elo #10 · Q9

    Expected P8.2 Finished P13

    −4.8places
  2. Pietro Fittipaldi Haas F1 Team · Elo #18 · Q19

    Expected P15.0 Finished P19

    −4.0places
  3. Antonio Giovinazzi Alfa Romeo · Elo #17 · Q14

    Expected P12.6 Finished P16

    −3.4places
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
M. VerstappenRed Bull #72255 P1 P3.8P1–P7 P1 +2.8places In range
V. BottasMercedes #22352 P2 P2.6P1–P6 P2 +0.6places In range
L. HamiltonMercedes #12704 P3 P2.7P1–P6 P3 −0.3places In range
A. AlbonRed Bull #62259 P5 P5.2P1–P9 P4 +1.2places In range
L. NorrisMcLaren #82234 P4 P5.4P2–P9 P5 +0.4places In range
C. SainzMcLaren #52301 P6 P5.3P2–P9 P6 −0.7places In range
D. RicciardoRenault #32338 P12 Grid P11 P7.2P4–P11 P7 +0.2places In range
P. GaslyAlphaTauri #122171 P10 Grid P9 P9.2P6–P13 P8 +1.2places In range
E. OconRenault #92198 P11 Grid P10 P8.7P5–P12 P9 −0.3places In range
L. StrollRacing Point #142130 P8 P9.0P5–P13 P10 −1.0places In range
D. KvyatAlphaTauri #112174 P7 P7.6P4–P11 P11 −3.4places In range
K. RäikkönenAlfa Romeo #152059 P16 Grid P15 P12.8P9–P16 P12 +0.8places In range
C. LeclercFerrari #102196 P9 Grid P12 P8.2P4–P12 P13 −4.8places Below range
S. VettelFerrari #132156 P13 P10.8P7–P15 P14 −3.2places In range
G. RussellWilliams #161995 P18 Grid P16 P14.0P10–P18 P15 −1.0places In range
A. GiovinazziAlfa Romeo #171992 P14 P12.6P9–P16 P16 −3.4places In range
N. LatifiWilliams #191932 P20 Grid P18 P15.8P12–P19 P17 −1.2places In range
K. MagnussenHaas F1 Team #201923 P17 Grid P20 P14.8P11–P18 P18 −3.2places In range
P. FittipaldiHaas F1 Team #181977 P19 Grid P17 P15.0P11–P19 P19 −4.0places In range
S. PérezRacing Point #42337 P15 Grid P19 P8.8P5–P12 DNFTransmission — Not assessedDNF: Transmission
How useful is the model? See the historical check

Average absolute error on 623 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
2.17places
Qualifying only
2.41places
Elo only
2.65places

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 loss

Pérez−102.1 Elo

Largest grid-to-finish gain

Ricciardo+4 places

The bigger picture

Championship after this round

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

  1. 1 Hamilton 347pts 0
  2. 2 Bottas 223pts 0
  3. 3 Verstappen 214pts 0
  4. 4 Pérez 125pts 0
  5. 5 Ricciardo 119pts 0

Movement since round 16. 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

NorrisP5+32.3 Elo
SainzP6+12.6 Elo

1 place apart at the finish.

Q3 · Norris 0.318s faster

Renault

RicciardoP7−1.2 Elo
OconP9+7.9 Elo

2 places apart at the finish.

Q2 · Ocon 0.047s faster

AlphaTauri

GaslyP8+20.6 Elo
KvyatP11−3.2 Elo

3 places apart at the finish.

Q3 · Kvyat 0.279s faster

Racing Point

StrollP10+12.8 Elo
PérezDNF−102.1 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Pérez 0.468s faster

Ferrari

LeclercP13−22.8 Elo
VettelP14−23.1 Elo

1 place apart at the finish.

Q2 · Leclerc 0.699s faster

Williams

RussellP15−2.4 Elo
LatifiP17−8.6 Elo

2 places apart at the finish.

Q1 · Russell 0.398s 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 →