Round 11 · 2026 · 26 Jul

Hungaroring

Budapest, Hungary

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 791 earlier finishes across 47 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. Lance Stroll Aston Martin · Elo #21 · Q20

    Expected P16.8 Finished P13

    +3.8places
  2. Max Verstappen Red Bull · Elo #4 · Q6

    Expected P5.3 Finished P2

    +3.3places
  3. Lando Norris McLaren · Elo #7 · Q1

    Expected P3.6 Finished P1

    +2.6places

Flop 3

Below the estimate
  1. Oliver Bearman Haas F1 Team · Elo #15 · Q17

    Expected P13.7 Finished P19

    −5.3places
  2. Carlos Sainz Williams · Elo #14 · Q18

    Expected P13.9 Finished P18

    −4.1places
  3. Franco Colapinto Alpine F1 Team · Elo #13 · Q13

    Expected P11.2 Finished P15

    −3.8places
19/22 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
L. NorrisMcLaren #72344 P1 P3.6P1–P8 P1 +2.6places In range
M. VerstappenRed Bull #42369 P6 Grid P4 P5.3P1–P9 P2 +3.3places In range
A. AntonelliMercedes #32374 P4 Grid P7 P4.0P1–P8 P3 +1.0places In range
C. LeclercFerrari #22375 P3 Grid P2 P3.3P1–P7 P4 −0.7places In range
L. HamiltonFerrari #12433 P2 Grid P5 P2.5P1–P7 P5 −2.5places In range
I. HadjarRed Bull #82268 P8 P7.4P3–P12 P6 +1.4places In range
G. RussellMercedes #52363 P7 Grid P6 P6.0P2–P10 P7 −1.0places In range
L. LawsonRB F1 Team #92210 P11 P9.1P5–P13 P8 +1.1places In range
N. HülkenbergAudi #172022 P10 P10.8P7–P15 P9 +1.8places In range
A. LindbladRB F1 Team #112163 P9 P8.7P5–P13 P10 −1.3places In range
G. BortoletoAudi #122162 P14 P11.4P7–P16 P11 +0.4places In range
P. GaslyAlpine F1 Team #102178 P12 P9.9P6–P14 P12 −2.1places In range
L. StrollAston Martin #211904 P20 P16.8P13–P21 P13 +3.8places In range
F. AlonsoAston Martin #191989 P16 P14.3P10–P18 P14 +0.3places In range
F. ColapintoAlpine F1 Team #132138 P13 P11.2P7–P15 P15 −3.8places In range
E. OconHaas F1 Team #162085 P15 P13.0P9–P17 P16 −3.0places In range
A. AlbonWilliams #181999 P19 P15.5P11–P20 P17 −1.5places In range
C. SainzWilliams #142091 P18 P13.9P10–P18 P18 −4.1places In range
O. BearmanHaas F1 Team #152087 P17 P13.7P10–P18 P19 −5.3places Below range
O. PiastriMcLaren #62361 P5 Grid P3 P5.3P1–P9 DNFRetired — Not assessedDNF: Retired
S. PérezCadillac F1 Team #201983 P22 P17.5P13–P22 DNFRetired — Not assessedDNF: Retired
V. BottasCadillac F1 Team #221887 P21 P17.6P13–P22 DNFRetired — Not assessedDNF: Retired
How useful is the model? See the historical check

Average absolute error on 791 classified finishes in 47 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
2.22places
Qualifying only
2.38places
Elo only
2.75places

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

Piastri−75.2 Elo

Largest grid-to-finish gain

Stroll+7 places

The bigger picture

Championship after this round

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

  1. 1 Antonelli 219pts 0
  2. 2 Hamilton 169pts 0
  3. 3 Russell 160pts 0
  4. 4 Leclerc 138pts 0
  5. 5 Norris 128pts 0

Movement since round 10. 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

NorrisP1+35.6 Elo
PiastriDNF−75.2 Elo

Non-finish recorded; no finishing gap comparison.

Q3 · Norris 0.477s faster

Williams

AlbonP17−6.8 Elo
SainzP18−25.1 Elo

1 place apart at the finish.

Q1 · Sainz 0.037s 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 →