Round 16 · 2022 · 11 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 628 earlier finishes across 37 races, 2012–2022. 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. Guanyu Zhou Alfa Romeo · Elo #18 · Q14

    Expected P13.0 Finished P10

    +3.0places
  2. Nyck de Vries Williams · Elo #16 · Q13

    Expected P11.9 Finished P9

    +2.9places
  3. Mick Schumacher Haas F1 Team · Elo #15 · Q20

    Expected P14.7 Finished P12

    +2.7places

Flop 3

Below the estimate
  1. Esteban Ocon Alpine F1 Team · Elo #9 · Q11

    Expected P8.8 Finished P11

    −2.2places
  2. Valtteri Bottas Alfa Romeo · Elo #14 · Q12

    Expected P10.8 Finished P13

    −2.2places
  3. Sergio Pérez Red Bull · Elo #4 · Q4

    Expected P4.1 Finished P6

    −1.9places
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
M. VerstappenRed Bull #12560 P2 Grid P7 P2.2P1–P6 P1 +1.2places In range
C. LeclercFerrari #62333 P1 P3.4P1–P7 P2 +1.4places In range
G. RussellMercedes #32392 P6 Grid P2 P4.7P1–P9 P3 +1.7places In range
C. SainzFerrari #52335 P3 Grid P18 P4.0P1–P8 P4 0.0places In range
L. HamiltonMercedes #22421 P5 Grid P19 P3.9P1–P8 P5 −1.1places In range
S. PérezRed Bull #42362 P4 Grid P13 P4.1P1–P8 P6 −1.9places In range
L. NorrisMcLaren #82263 P7 Grid P3 P6.7P3–P11 P7 −0.3places In range
P. GaslyAlphaTauri #122135 P9 Grid P5 P8.8P5–P13 P8 +0.8places In range
N. de VriesWilliams #162000 P13 Grid P8 P11.9P8–P16 P9 +2.9places In range
G. ZhouAlfa Romeo #181990 P14 Grid P9 P13.0P9–P17 P10 +3.0places In range
E. OconAlpine F1 Team #92256 P11 Grid P14 P8.8P5–P13 P11 −2.2places In range
M. SchumacherHaas F1 Team #152004 P20 Grid P17 P14.7P11–P19 P12 +2.7places In range
V. BottasAlfa Romeo #142054 P12 Grid P15 P10.8P7–P15 P13 −2.2places In range
Y. TsunodaAlphaTauri #191954 P15 Grid P20 P13.7P10–P18 P14 −0.3places In range
N. LatifiWilliams #201904 P16 Grid P10 P14.5P11–P18 P15 −0.5places In range
K. MagnussenHaas F1 Team #171991 P19 Grid P16 P14.9P11–P19 P16 −1.1places In range
D. RicciardoMcLaren #132089 P8 Grid P4 P8.7P5–P13 DNFOil leak — Not assessedDNF: Oil leak
L. StrollAston Martin #112138 P18 Grid P12 P12.5P9–P16 DNFEngine — Not assessedDNF: Engine
F. AlonsoAlpine F1 Team #72284 P10 Grid P6 P7.7P4–P12 DNFWater pressure — Not assessedDNF: Water pressure
S. VettelAston Martin #102139 P17 Grid P11 P11.8P8–P16 DNFEngine — Not assessedDNF: Engine
How useful is the model? See the historical check

Average absolute error on 628 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
2.19places
Qualifying only
2.39places
Elo only
2.66places

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

Alonso−65.6 Elo

Largest grid-to-finish gain

Sainz+14 places

The bigger picture

Championship after this round

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

  1. 1 Verstappen 335pts 0
  2. 2 Leclerc 219pts 0
  3. 3 Pérez 210pts 0
  4. 4 Russell 203pts 0
  5. 5 Sainz 187pts 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

LeclercP2+30.3 Elo
SainzP4+18.0 Elo

2 places apart at the finish.

Q3 · Leclerc 0.268s faster

McLaren

NorrisP7+9.3 Elo
RicciardoDNF−27.0 Elo

Non-finish recorded; no finishing gap comparison.

Q3 · Norris 0.341s faster

Alfa Romeo

ZhouP10+27.8 Elo
BottasP13+1.8 Elo

3 places apart at the finish.

Q2 · Bottas 0.342s faster

Alpine F1 Team

OconP11−13.8 Elo
AlonsoDNF−65.6 Elo

Non-finish recorded; no finishing gap comparison.

Q2 · Alonso 0.269s faster

Aston Martin

StrollDNF−39.7 Elo
VettelDNF−51.8 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Vettel 0.112s 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 →