Round 3 · 2026 · 29 Mar

Suzuka Circuit

Suzuka, Japan

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 683 earlier finishes across 41 races, 2016–2026. No results from this race enter its expectation.

22 stored results 22/22 Elo snapshots 22/22 numbered grid slots 22/22 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. Oscar Piastri McLaren · Elo #6 · Q3

    Expected P4.4 Finished P2

    +2.4places
  2. Andrea Kimi Antonelli Mercedes · Elo #5 · Q1

    Expected P3.1 Finished P1

    +2.1places
  3. Pierre Gasly Alpine F1 Team · Elo #15 · Q7

    Expected P8.9 Finished P7

    +1.9places

Flop 3

Below the estimate
  1. Alexander Albon Williams · Elo #16 · Q17

    Expected P14.0 Finished P20

    −6.0places
  2. Carlos Sainz Williams · Elo #9 · Q16

    Expected P11.4 Finished P15

    −3.6places
  3. Fernando Alonso Aston Martin · Elo #12 · Q21

    Expected P14.7 Finished P18

    −3.3places
20/22 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 → P22vs expectedReading
A. AntonelliMercedes #52320 P1 P3.1P1–P7 P1 +2.1places In range
O. PiastriMcLaren #62304 P3 P4.4P1–P9 P2 +2.4places In range
C. LeclercFerrari #32393 P4 P4.0P1–P8 P3 +1.0places In range
G. RussellMercedes #22507 P2 P2.7P1–P7 P4 −1.3places In range
L. NorrisMcLaren #42391 P5 P4.7P1–P9 P5 −0.3places In range
L. HamiltonFerrari #72300 P6 P6.1P2–P10 P6 +0.1places In range
P. GaslyAlpine F1 Team #152059 P7 P8.9P5–P13 P7 +1.9places In range
M. VerstappenRed Bull #12514 P11 P6.7P3–P11 P8 −1.3places In range
L. LawsonRB F1 Team #102116 P14 P10.8P7–P15 P9 +1.8places In range
E. OconHaas F1 Team #112108 P12 P10.1P6–P14 P10 +0.1places In range
N. HülkenbergAudi #182052 P13 P12.7P8–P17 P11 +1.7places In range
I. HadjarRed Bull #132097 P8 P8.8P5–P13 P12 −3.2places In range
G. BortoletoAudi #192026 P9 P11.0P7–P15 P13 −2.0places In range
A. LindbladRB F1 Team #172053 P10 P10.9P7–P15 P14 −3.1places In range
C. SainzWilliams #92156 P16 P11.4P7–P16 P15 −3.6places In range
F. ColapintoAlpine F1 Team #211988 P15 P14.5P10–P19 P16 −1.5places In range
S. PérezCadillac F1 Team #142086 P19 P14.3P10–P18 P17 −2.7places In range
F. AlonsoAston Martin #122105 P21 P14.7P11–P19 P18 −3.3places In range
V. BottasCadillac F1 Team #221955 P20 P17.1P13–P21 P19 −1.9places In range
A. AlbonWilliams #162053 P17 P14.0P10–P18 P20 −6.0places Below range
L. StrollAston Martin #202002 P22 P17.5P13–P22 DNFRetired — Not assessedDNF: Retired
O. BearmanHaas F1 Team #82199 P18 P12.1P8–P16 DNFRetired — Not assessedDNF: Retired
How useful is the model? See the historical check

Average absolute error on 683 classified finishes in 41 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
2.20places
Qualifying only
2.36places
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

Gasly+36.5 Elo

Largest Elo loss

Bearman−57.4 Elo

Largest grid-to-finish gain

Lawson+5 places

The bigger picture

Championship after this round

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

  1. 1 Antonelli 72pts +1
  2. 2 Russell 63pts −1
  3. 3 Leclerc 49pts 0
  4. 4 Hamilton 41pts 0
  5. 5 Norris 25pts +1

Movement since round 2. 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.

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 →