Round 14 · 2018

Autodromo Nazionale di Monza

Monza, Italy · September 02, 2018 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

What did we expect after qualifying—and who beat it?

R142018
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20 stored results 20/20 Elo snapshots 20/20 numbered grid slots 20/20 qualifying results
Elo × qualifying → race result

Did they beat the expectation?

A strong driver recovering from a poor qualifying position isn't automatically a surprise. This model estimates a finish from both inputs, then compares it with what happened.

Experimental · v1

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, 2008–2018. No results from this race enter its expectation.

Top 3

Beat the estimate
  1. Sergio Pérez Force India · Elo #7 · Q16

    Expected P10.4 Finished P7

    +3.4places
  2. Charles Leclerc Sauber · Elo #19 · Q17

    Expected P14.1 Finished P11

    +3.1places
  3. Stoffel Vandoorne McLaren · Elo #16 · Q20

    Expected P14.7 Finished P12

    +2.7places

Flop 3

Below the estimate
  1. Kevin Magnussen Haas F1 Team · Elo #6 · Q11

    Expected P7.8 Finished P16

    −8.2places
  2. Pierre Gasly Toro Rosso · Elo #12 · Q9

    Expected P8.6 Finished P14

    −5.4places
  3. Nico Hülkenberg Renault · Elo #13 · Q14

    Expected P11.1 Finished P13

    −1.9places

16/20 entrants assessed. 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
L. HamiltonMercedes #12573 P3 P2.8P1–P7 P1 +1.8places In range
K. RäikkönenFerrari #42342 P1 P2.7P1–P6 P2 +0.7places In range
V. BottasMercedes #32413 P4 P3.8P1–P8 P3 +0.8places In range
S. VettelFerrari #22469 P2 P2.6P1–P6 P4 −1.4places In range
M. VerstappenRed Bull #52280 P5 P4.8P1–P9 P5 −0.2places In range
E. OconForce India #82184 P8 P7.0P3–P11 P6 +1.0places In range
S. PérezForce India #72189 P16 Grid P14 P10.4P7–P14 P7 +3.4places In range
C. SainzRenault #112138 P7 P7.4P4–P11 P8 −0.6places In range
L. StrollWilliams #171983 P10 P10.4P7–P14 P9 +1.4places In range
S. SirotkinWilliams #201948 P12 P12.1P8–P16 P10 +2.1places In range
C. LeclercSauber #191968 P17 Grid P15 P14.1P10–P18 P11 +3.1places In range
S. VandoorneMcLaren #162015 P20 Grid P17 P14.7P11–P18 P12 +2.7places In range
N. HülkenbergRenault #132090 P14 Grid P20 P11.1P7–P15 P13 −1.9places In range
P. GaslyToro Rosso #122095 P9 P8.6P5–P12 P14 −5.4places Below range
M. EricssonSauber #152045 P19 Grid P18 P13.9P10–P18 P15 −1.1places In range
K. MagnussenHaas F1 Team #62204 P11 P7.8P4–P12 P16 −8.2places Below range
D. RicciardoRed Bull #92177 P15 Grid P19 P10.5P7–P14 DNFEngine Not assessedDNF: Engine
F. AlonsoMcLaren #142070 P13 P10.9P7–P15 DNFEngine Not assessedDNF: Engine
B. HartleyToro Rosso #181968 P18 Grid P16 P14.3P11–P18 DNFBrakes Not assessedDNF: Brakes
R. GrosjeanHaas F1 Team #102140 P6 P6.6P3–P10 DSQDisqualified Not assessedDSQ: Disqualified
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
2.23places
Qualifying only
2.42places
Elo only
2.78places

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

Stroll+34.8 Elo

Largest grid-to-finish gain

Pérez+7 places

The bigger picture

Championship after this round

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

  1. 1 Hamilton 256pts 0
  2. 2 Vettel 226pts 0
  3. 3 Räikkönen 164pts 0
  4. 4 Bottas 159pts 0
  5. 5 Verstappen 130pts 0

Movement since round 13. 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.

Red Bull

VerstappenP5+16.6 Elo
RicciardoDNF−44.0 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Ricciardo 0.101s faster

Sauber

LeclercP11+24.1 Elo
EricssonP15−11.7 Elo

4 places apart at the finish.

Q1 · Leclerc 0.159s faster

McLaren

VandoorneP12+11.4 Elo
AlonsoDNF−34.2 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Alonso 0.235s faster

Toro Rosso

GaslyP14−12.9 Elo
HartleyDNF−26.3 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Gasly 0.100s 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 →
20
Result Entries
Avg Elo
Highest Elo (Hamilton)
4
Non-finishes

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇬🇧 L.Hamilton 3 +2 +25 256 P1 +12.1 2,585
P2 🇫🇮 K.Räikkönen 1 -1 +18 164 P3 +27.5 2,370
P3 🇫🇮 V.Bottas 4 +1 +15 159 P4 +13.2 2,426
P4 🇩🇪 S.Vettel 2 -2 +12 226 P2 +1.4 2,470
P5 🇳🇱 M.Verstappen 5 +10 130 P5 +16.6 2,297
P6 🇫🇷 E.Ocon 8 +2 +8 45 P10 +24.2 2,208
P7 🇲🇽 S.Pérez 14 +7 +6 46 P9 +17.2 2,206
P8 🇪🇸 C.Sainz 7 -1 +4 34 P12 +18.5 2,156
P9 🇨🇦 L.Stroll 10 +1 +2 6 P17 +34.8 2,018
P10 🇷🇺 S.Sirotkin 12 +2 +1 1 P20 +33.0 1,981
P11 🇲🇨 C.Leclerc 15 +4 0 13 P15 +24.1 1,992
P12 🇧🇪 S.Vandoorne 17 +5 0 8 P16 +11.4 2,027
P13 🇩🇪 N.Hülkenberg 20 +7 0 52 P7 -5.8 2,085
P14 🇫🇷 P.Gasly 9 -5 0 28 P13 -12.9 2,082
P15 🇸🇪 M.Ericsson 18 +3 0 6 P18 -11.7 2,034
P16 🇩🇰 K.Magnussen 11 -5 0 49 P8 -41.8 2,162
DNF 🇦🇺 D.Ricciardo 19 0 118 P6 -44.0 2,133
DNF 🇪🇸 F.Alonso 13 0 44 P11 -34.2 2,036
DNF 🇳🇿 B.Hartley 16 0 2 P19 -26.3 1,942
DSQ 🇫🇷 R.Grosjean 6 0 27 P14 -57.3 2,083
# Driver Q1 Q2 Q3 Gap Elo
1 🇫🇮 K.Räikkönen 1:20.722 1:19.846 1:19.119 1:19.119 2,029
2 🇩🇪 S.Vettel 1:20.542 1:19.629 1:19.280 +0.161 2,156
3 🇬🇧 L.Hamilton 1:20.810 1:19.798 1:19.294 +0.175 2,437
4 🇫🇮 V.Bottas 1:21.381 1:20.427 1:19.656 +0.537 1,862
5 🇳🇱 M.Verstappen 1:21.381 1:20.333 1:20.615 +1.496 2,335
6 🇫🇷 R.Grosjean 1:21.887 1:21.239 1:20.936 +1.817 1,931
7 🇪🇸 C.Sainz 1:21.732 1:21.552 1:21.041 +1.922 2,061
8 🇫🇷 E.Ocon 1:21.570 1:21.315 1:21.099 +1.98 2,035
9 🇫🇷 P.Gasly 1:21.834 1:21.667 1:21.350 +2.231 2,203
10 🇨🇦 L.Stroll 1:21.838 1:21.494 1:21.627 +2.508 1,901
11 🇩🇰 K.Magnussen 1:21.783 1:21.669 +2.55 2,056
12 🇷🇺 S.Sirotkin 1:21.813 1:21.732 +2.613 1,951
13 🇪🇸 F.Alonso 1:21.850 1:22.568 +3.449 2,002
14 🇩🇪 N.Hülkenberg 1:21.801 +2.682 2,099
15 🇦🇺 D.Ricciardo 1:21.280 +2.161 2,055
16 🇲🇽 S.Pérez 1:21.888 +2.769 1,955
17 🇲🇨 C.Leclerc 1:21.889 +2.77 2,308
18 🇳🇿 B.Hartley 1:21.934 +2.815 2,004
19 🇸🇪 M.Ericsson 1:22.048 +2.929 2,009
20 🇧🇪 S.Vandoorne 1:22.085 +2.966 2,044
Data: Jolpica (Ergast) API

Elo Changes