Round 11 · 2022 · 10 Jul

Red Bull Ring

Spielberg, Austria

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 611 earlier finishes across 36 races, 2012–2022. No results from this race enter its expectation.

20 stored results 20/20 Elo snapshots 19/20 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. Mick Schumacher Haas F1 Team · Elo #20 · Q7

    Expected P10.5 Finished P6

    +4.5places
  2. Daniel Ricciardo McLaren · Elo #12 · Q16

    Expected P11.9 Finished P9

    +2.9places
  3. Lando Norris McLaren · Elo #7 · Q15

    Expected P9.9 Finished P7

    +2.9places

Flop 3

Below the estimate
  1. Pierre Gasly AlphaTauri · Elo #13 · Q10

    Expected P9.6 Finished P15

    −5.4places
  2. Yuki Tsunoda AlphaTauri · Elo #16 · Q14

    Expected P12.3 Finished P16

    −3.7places
  3. Sebastian Vettel Aston Martin · Elo #11 · Q20

    Expected P13.4 Finished P17

    −3.6places
17/20 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 #52318 P2 P3.5P1–P7 P1 +2.5places In range
M. VerstappenRed Bull #12482 P1 P1.8P1–P6 P2 −0.2places In range
L. HamiltonMercedes #22476 P9 Grid P8 P5.7P2–P9 P3 +2.7places In range
G. RussellMercedes #62271 P4 P4.7P1–P9 P4 +0.7places In range
E. OconAlpine F1 Team #102211 P5 Grid P6 P6.5P3–P10 P5 +1.5places In range
M. SchumacherHaas F1 Team #201950 P7 Grid P9 P10.5P7–P14 P6 +4.5places Above range
L. NorrisMcLaren #72242 P15 Grid P10 P9.9P6–P14 P7 +2.9places In range
K. MagnussenHaas F1 Team #171993 P6 Grid P7 P9.1P5–P13 P8 +1.1places In range
D. RicciardoMcLaren #122136 P16 Grid P11 P11.9P8–P16 P9 +2.9places In range
F. AlonsoAlpine F1 Team #92219 P8 Grid P19 P7.5P4–P11 P10 −2.5places In range
V. BottasAlfa Romeo #82234 P12 Grid unnumbered P8.9P5–P13 P11 −2.1places In range
A. AlbonWilliams #152072 P11 Grid P15 P10.7P7–P15 P12 −1.3places In range
L. StrollAston Martin #142105 P17 Grid P12 P13.0P9–P17 P13 0.0places In range
G. ZhouAlfa Romeo #181981 P18 Grid P13 P14.7P11–P19 P14 +0.7places In range
P. GaslyAlphaTauri #132128 P10 Grid P14 P9.6P6–P13 P15 −5.4places Below range
Y. TsunodaAlphaTauri #162046 P14 Grid P16 P12.3P9–P16 P16 −3.7places In range
S. VettelAston Martin #112152 P20 Grid P18 P13.4P10–P17 P17 −3.6places In range
C. SainzFerrari #42340 P3 P3.7P1–P7 DNFPower Unit — Not assessedDNF: Power Unit
N. LatifiWilliams #191968 P19 Grid P17 P15.5P12–P19 DNFUndertray — Not assessedDNF: Undertray
S. PérezRed Bull #32361 P13 Grid P5 P7.7P4–P12 DNFCollision damage — Not assessedDNF: Collision damage
How useful is the model? See the historical check

Average absolute error on 611 classified finishes in 36 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
2.18places
Qualifying only
2.40places
Elo only
2.65places

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

Pérez−81.7 Elo

Largest grid-to-finish gain

Alonso+9 places

The bigger picture

Championship after this round

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

  1. 1 Verstappen 208pts 0
  2. 2 Leclerc 170pts +1
  3. 3 Pérez 151pts −1
  4. 4 Sainz 133pts 0
  5. 5 Russell 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.

Ferrari

LeclercP1+37.9 Elo
SainzDNF−67.1 Elo

Non-finish recorded; no finishing gap comparison.

Q3 · Leclerc 0.053s faster

Red Bull

VerstappenP2+13.3 Elo
PérezDNF−81.7 Elo

Non-finish recorded; no finishing gap comparison.

Q2 · Verstappen 1.084s faster

Alfa Romeo

BottasP11−10.6 Elo
ZhouP14+6.6 Elo

3 places apart at the finish.

Q1 · Bottas 0.459s faster

Williams

AlbonP12+6.7 Elo
LatifiDNF−21.9 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Albon 0.487s 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 →