Round 16 · 2024 · 1 Sep

Autodromo Nazionale di Monza

Monza, Italy

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 609 earlier finishes across 37 races, 2014–2024. 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. Charles Leclerc Ferrari · Elo #6 · Q4

    Expected P4.8 Finished P1

    +3.8places
  2. Kevin Magnussen Haas F1 Team · Elo #18 · Q13

    Expected P12.6 Finished P10

    +2.6places
  3. Franco Colapinto Williams · Elo #17 · Q18

    Expected P14.5 Finished P12

    +2.5places

Flop 3

Below the estimate
  1. Nico Hülkenberg Haas F1 Team · Elo #11 · Q10

    Expected P9.0 Finished P17

    −8.0places
  2. Lance Stroll Aston Martin · Elo #10 · Q17

    Expected P11.9 Finished P19

    −7.1places
  3. Pierre Gasly Alpine F1 Team · Elo #13 · Q14

    Expected P11.5 Finished P15

    −3.5places
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
C. LeclercFerrari #62382 P4 P4.8P1–P8 P1 +3.8places In range
O. PiastriMcLaren #32431 P2 P2.9P1–P7 P2 +0.9places In range
L. NorrisMcLaren #22458 P1 P2.2P1–P6 P3 −0.8places In range
C. SainzFerrari #52391 P5 P4.9P1–P9 P4 +0.9places In range
L. HamiltonMercedes #42413 P6 P5.0P1–P9 P5 0.0places In range
M. VerstappenRed Bull #12639 P7 P4.5P1–P8 P6 −1.5places In range
G. RussellMercedes #82255 P3 P4.9P1–P9 P7 −2.1places In range
S. PérezRed Bull #72287 P8 P6.9P3–P11 P8 −1.1places In range
A. AlbonWilliams #162028 P9 P10.2P6–P14 P9 +1.2places In range
K. MagnussenHaas F1 Team #181992 P13 P12.6P9–P16 P10 +2.6places In range
F. AlonsoAston Martin #92199 P11 P8.8P5–P13 P11 −2.2places In range
F. ColapintoWilliams #172000 P18 P14.5P11–P18 P12 +2.5places In range
D. RicciardoRB F1 Team #122094 P12 P10.2P7–P14 P13 −2.8places In range
E. OconAlpine F1 Team #152059 P15 P12.5P9–P16 P14 −1.5places In range
P. GaslyAlpine F1 Team #132064 P14 P11.5P8–P15 P15 −3.5places In range
V. BottasSauber #191931 P19 P15.6P12–P19 P16 −0.4places In range
N. HülkenbergHaas F1 Team #112107 P10 P9.0P5–P13 P17 −8.0places Below range
G. ZhouSauber #201894 P20 P16.4P13–P20 P18 −1.6places In range
L. StrollAston Martin #102137 P17 P11.9P8–P16 P19 −7.1places Below range
Y. TsunodaRB F1 Team #142060 P16 P12.7P9–P16 DNFRetired — Not assessedDNF: Retired
How useful is the model? See the historical check

Average absolute error on 609 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
2.09places
Qualifying only
2.29places
Elo only
2.54places

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+29.5 Elo

Largest Elo loss

Stroll−41.2 Elo

Largest grid-to-finish gain

Colapinto+6 places

The bigger picture

Championship after this round

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

  1. 1 Verstappen 303pts 0
  2. 2 Norris 241pts 0
  3. 3 Leclerc 217pts 0
  4. 4 Piastri 197pts 0
  5. 5 Sainz 184pts 0

Movement since round 15. 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

LeclercP1+29.5 Elo
SainzP4+12.2 Elo

3 places apart at the finish.

Q3 · Leclerc 0.006s faster

McLaren

PiastriP2+19.3 Elo
NorrisP3+11.3 Elo

1 place apart at the finish.

Q3 · Norris 0.109s faster

RB F1 Team

RicciardoP13−2.8 Elo
TsunodaDNF−37.3 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Ricciardo 0.044s faster

Sauber

BottasP16−1.2 Elo
ZhouP18−8.7 Elo

2 places apart at the finish.

Q1 · Bottas 0.344s 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 →