Round 6 · 2017 · 28 May

Circuit de Monaco

Monte-Carlo, Monaco

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, 2007–2017. 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. Jolyon Palmer Renault · Elo #18 · Q17

    Expected P13.8 Finished P11

    +2.8places
  2. Sebastian Vettel Ferrari · Elo #2 · Q2

    Expected P2.7 Finished P1

    +1.7places
  3. Felipe Massa Williams · Elo #9 · Q15

    Expected P10.3 Finished P9

    +1.3places

Flop 3

Below the estimate
  1. Sergio Pérez Force India · Elo #4 · Q7

    Expected P5.5 Finished P13

    −7.5places
  2. Esteban Ocon Force India · Elo #11 · Q16

    Expected P11.3 Finished P12

    −0.7places
  3. Max Verstappen Red Bull · Elo #6 · Q4

    Expected P4.7 Finished P5

    −0.3places
13/20 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
S. VettelFerrari #22509 P2 P2.7P1–P7 P1 +1.7places In range
K. RäikkönenFerrari #52283 P1 P3.1P1–P7 P2 +1.1places In range
D. RicciardoRed Bull #32367 P5 P4.3P1–P8 P3 +1.3places In range
V. BottasMercedes #72257 P3 P4.6P1–P8 P4 +0.6places In range
M. VerstappenRed Bull #62266 P4 P4.7P1–P9 P5 −0.3places In range
C. SainzToro Rosso #102169 P6 P6.7P3–P11 P6 +0.7places In range
L. HamiltonMercedes #12619 P14 Grid P13 P7.6P4–P11 P7 +0.6places In range
R. GrosjeanHaas F1 Team #142035 P8 P8.7P5–P13 P8 +0.7places In range
F. MassaWilliams #92181 P15 Grid P14 P10.3P7–P14 P9 +1.3places In range
K. MagnussenHaas F1 Team #152005 P13 Grid P11 P11.2P7–P15 P10 +1.2places In range
J. PalmerRenault #181970 P17 Grid P16 P13.8P10–P18 P11 +2.8places In range
E. OconForce India #112141 P16 Grid P15 P11.3P8–P15 P12 −0.7places In range
S. PérezForce India #42346 P7 P5.5P2–P9 P13 −7.5places Below range
D. KvyatToro Rosso #122084 P11 Grid P9 P9.5P6–P13 DNFCollision damage — Not assessedDNF: Collision damage
L. StrollWilliams #191960 P18 Grid P17 P14.5P11–P18 DNFBrakes — Not assessedDNF: Brakes
S. VandoorneMcLaren #201952 P10 Grid P12 P11.3P7–P15 DNFAccident — Not assessedDNF: Accident
M. EricssonSauber #171994 P20 Grid P19 P14.8P11–P19 DNFAccident — Not assessedDNF: Accident
J. ButtonMcLaren #132048 P9 Grid P20 P8.9P5–P13 DNFCollision damage — Not assessedDNF: Collision damage
P. WehrleinSauber #161996 P19 Grid P18 P14.1P10–P18 DNFCollision — Not assessedDNF: Collision
N. HülkenbergRenault #82234 P12 Grid P10 P8.8P5–P13 DNFGearbox — Not assessedDNF: Gearbox
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
2.31places
Qualifying only
2.51places
Elo only
2.83places

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 grid-to-finish gain

Hamilton+6 places

The bigger picture

Championship after this round

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

  1. 1 Vettel 129pts 0
  2. 2 Hamilton 104pts 0
  3. 3 Bottas 75pts 0
  4. 4 Räikkönen 67pts 0
  5. 5 Ricciardo 52pts 0

Movement since round 5. 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.

Toro Rosso

SainzP6+28.6 Elo
KvyatDNF−11.2 Elo

Non-finish recorded; no finishing gap comparison.

Q2 · Sainz 0.119s faster

Williams

MassaP9+6.9 Elo
StrollDNF0.0 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Massa 1.097s faster

Renault

PalmerP11+25.1 Elo
HülkenbergDNF−73.7 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Hülkenberg 0.909s faster

Force India

OconP12−6.7 Elo
PérezP13−43.0 Elo

1 place apart at the finish.

Q1 · Pérez 0.571s faster

McLaren

VandoorneDNF−5.5 Elo
ButtonDNF−32.2 Elo

Non-finish recorded; no finishing gap comparison.

Q2 · Vandoorne 0.204s faster

Sauber

EricssonDNF−17.8 Elo
WehrleinDNF−31.3 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Wehrlein 0.117s 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 →