Round 2 · 2025 · 23 Mar

Shanghai International Circuit

Shanghai, China

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 612 earlier finishes across 37 races, 2015–2024. 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. Oliver Bearman Haas F1 Team · Elo #16 · Q17

    Expected P13.8 Finished P8

    +5.8places
  2. Esteban Ocon Haas F1 Team · Elo #12 · Q11

    Expected P9.8 Finished P5

    +4.8places
  3. Liam Lawson Red Bull · Elo #17 · Q20

    Expected P15.4 Finished P12

    +3.4places

Flop 3

Below the estimate
  1. Yuki Tsunoda RB F1 Team · Elo #14 · Q9

    Expected P9.5 Finished P16

    −6.5places
  2. Nico Hülkenberg Sauber · Elo #8 · Q12

    Expected P9.0 Finished P15

    −6.0places
  3. Max Verstappen Red Bull · Elo #1 · Q4

    Expected P3.2 Finished P4

    −0.8places
16/20 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
O. PiastriMcLaren #52404 P1 P3.1P1–P7 P1 +2.1places In range
L. NorrisMcLaren #22503 P3 P3.1P1–P7 P2 +1.1places In range
G. RussellMercedes #42424 P2 P3.3P1–P7 P3 +0.3places In range
M. VerstappenRed Bull #12602 P4 P3.2P1–P7 P4 −0.8places In range
E. OconHaas F1 Team #122057 P11 P9.8P6–P14 P5 +4.8places Above range
A. AntonelliMercedes #132057 P8 P8.8P5–P12 P6 +2.8places In range
A. AlbonWilliams #152053 P10 P10.3P7–P14 P7 +3.3places In range
O. BearmanHaas F1 Team #162053 P17 P13.8P10–P17 P8 +5.8places Above range
L. StrollAston Martin #112066 P14 P10.9P7–P15 P9 +1.9places In range
C. SainzWilliams #62329 P15 P9.8P6–P13 P10 −0.2places In range
I. HadjarRB F1 Team #201969 P7 P10.5P7–P14 P11 −0.5places In range
L. LawsonRed Bull #172017 P20 P15.4P12–P19 P12 +3.4places In range
J. DoohanAlpine F1 Team #191971 P18 P15.1P11–P19 P13 +2.1places In range
G. BortoletoSauber #181991 P19 P15.3P12–P19 P14 +1.3places In range
N. HülkenbergSauber #82149 P12 P9.0P5–P13 P15 −6.0places Below range
Y. TsunodaRB F1 Team #142056 P9 P9.5P6–P13 P16 −6.5places Below range
F. AlonsoAston Martin #102137 P13 P10.1P6–P14 DNFRetired — Not assessedDNF: Retired
C. LeclercFerrari #32480 P6 P4.8P1–P8 DSQDisqualified — Not assessedDSQ: Disqualified
L. HamiltonFerrari #72327 P5 P5.6P2–P9 DSQDisqualified — Not assessedDSQ: Disqualified
P. GaslyAlpine F1 Team #92146 P16 P11.1P7–P15 DSQDisqualified — Not assessedDSQ: Disqualified
How useful is the model? See the historical check

Average absolute error on 612 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
2.11places
Qualifying only
2.31places
Elo only
2.56places

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

Ocon+45.1 Elo

Largest Elo loss

Leclerc−73.3 Elo

Largest grid-to-finish gain

Bearman+9 places

The bigger picture

Championship after this round

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

  1. 1 Norris 44pts 0
  2. 2 Verstappen 36pts 0
  3. 3 Russell 35pts 0
  4. 4 Piastri 34pts +5
  5. 5 Antonelli 22pts −1

Movement since round 1. 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

PiastriP1+27.1 Elo
NorrisP2+12.9 Elo

1 place apart at the finish.

Q3 · Piastri 0.152s faster

Williams

AlbonP7+34.6 Elo
SainzP10−14.9 Elo

3 places apart at the finish.

Q2 · Albon 0.245s faster

Aston Martin

StrollP9+22.0 Elo
AlonsoDNF−30.7 Elo

Non-finish recorded; no finishing gap comparison.

Q2 · Alonso 0.085s faster

Alpine F1 Team

DoohanP13+11.1 Elo
GaslyDSQ−48.5 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Gasly 0.100s faster

Ferrari

LeclercDSQ−73.3 Elo
HamiltonDSQ−64.2 Elo

Non-finish recorded; no finishing gap comparison.

Q3 · Hamilton 0.094s 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 →