Round 4 · 2019

Baku City Circuit

Baku, Azerbaijan · April 28, 2019 · Circuit History · Wikipedia

The race, in perspective

Race debrief

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

R042019
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20 stored results 20/20 Elo snapshots 17/20 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 616 earlier finishes across 36 races, 2009–2018. No results from this race enter its expectation.

Top 3

Beat the estimate
  1. Lance Stroll Racing Point · Elo #16 · Q14

    Expected P12.0 Finished P9

    +3.0places
  2. Carlos Sainz McLaren · Elo #13 · Q10

    Expected P9.3 Finished P7

    +2.3places
  3. Charles Leclerc Ferrari · Elo #6 · Q9

    Expected P6.9 Finished P5

    +1.9places

Flop 3

Below the estimate
  1. Robert Kubica Williams · Elo #9 · Q18

    Expected P11.9 Finished P16

    −4.1places
  2. Kevin Magnussen Haas F1 Team · Elo #11 · Q13

    Expected P10.2 Finished P13

    −2.8places
  3. Antonio Giovinazzi Alfa Romeo · Elo #19 · Q8

    Expected P10.1 Finished P12

    −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
V. BottasMercedes #22508 P1 P2.1P1–P6 P1 +1.1places In range
L. HamiltonMercedes #12655 P2 P2.3P1–P6 P2 +0.3places In range
S. VettelFerrari #32498 P3 P3.3P1–P7 P3 +0.3places In range
M. VerstappenRed Bull #42470 P4 P4.0P1–P8 P4 0.0places In range
C. LeclercFerrari #62239 P9 Grid P8 P6.9P3–P11 P5 +1.9places In range
S. PérezRacing Point #72169 P5 P5.3P2–P9 P6 −0.7places In range
C. SainzMcLaren #132034 P10 Grid P9 P9.3P6–P13 P7 +2.3places In range
L. NorrisMcLaren #152030 P7 P8.5P5–P12 P8 +0.5places In range
L. StrollRacing Point #162030 P14 Grid P13 P12.0P8–P16 P9 +3.0places In range
K. RäikkönenAlfa Romeo #52329 P19 Grid unnumbered P11.2P8–P15 P10 +1.2places In range
A. AlbonToro Rosso #122055 P12 Grid P11 P10.0P6–P14 P11 −1.0places In range
A. GiovinazziAlfa Romeo #191996 P8 Grid P17 P10.1P6–P14 P12 −1.9places In range
K. MagnussenHaas F1 Team #112092 P13 Grid P12 P10.2P7–P14 P13 −2.8places In range
N. HülkenbergRenault #182001 P16 Grid P15 P13.5P10–P17 P14 −0.5places In range
G. RussellWilliams #201976 P17 Grid P16 P14.6P11–P18 P15 −0.4places In range
R. KubicaWilliams #92128 P18 Grid unnumbered P11.9P8–P16 P16 −4.1places In range
P. GaslyRed Bull #102128 P20 Grid unnumbered P13.1P9–P17 DNFTransmission Not assessedDNF: Transmission
R. GrosjeanHaas F1 Team #142032 P15 Grid P14 P11.9P8–P16 DNFBrakes Not assessedDNF: Brakes
D. KvyatToro Rosso #172029 P6 P8.6P5–P12 DNFCollision Not assessedDNF: Collision
D. RicciardoRenault #82137 P11 Grid P10 P8.4P5–P12 DNFCollision Not assessedDNF: Collision
How useful is the model? See the historical check

Average absolute error on 616 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
2.19places
Qualifying only
2.38places
Elo only
2.75places

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

Sainz+40.1 Elo

The bigger picture

Championship after this round

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

  1. 1 Bottas 87pts +1
  2. 2 Hamilton 86pts −1
  3. 3 Vettel 52pts +1
  4. 4 Verstappen 51pts −1
  5. 5 Leclerc 47pts 0

Movement since round 3. 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

VettelP3+7.7 Elo
LeclercP5+23.4 Elo

2 places apart at the finish.

Q2 · Vettel 0.106s faster

McLaren

SainzP7+40.1 Elo
NorrisP8+34.4 Elo

1 place apart at the finish.

Q2 · Norris 0.314s faster

Toro Rosso

AlbonP11+11.9 Elo
KvyatDNF−34.7 Elo

Non-finish recorded; no finishing gap comparison.

Q2 · Kvyat 0.273s faster

Renault

HülkenbergP14+0.8 Elo
RicciardoDNF−56.6 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Ricciardo 0.941s faster

Williams

RussellP15−2.2 Elo
KubicaP16−30.2 Elo

1 place apart at the finish.

Q1 · Russell 0.393s 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 🇫🇮 V.Bottas 1 +25 87 P1 +19.5 2,527
P2 🇬🇧 L.Hamilton 2 +18 86 P2 +3.3 2,658
P3 🇩🇪 S.Vettel 3 +15 52 P3 +7.7 2,506
P4 🇳🇱 M.Verstappen 4 +12 51 P4 +3.9 2,474
P5 🇲🇨 C.Leclerc 8 +3 +11 47 P5 +23.4 2,263
P6 🇲🇽 S.Pérez 5 -1 +8 13 P6 +26.9 2,196
P7 🇪🇸 C.Sainz 9 +2 +6 6 P12 +40.1 2,074
P8 🇬🇧 L.Norris 7 -1 +4 12 P9 +34.4 2,065
P9 🇨🇦 L.Stroll 13 +4 +2 4 P14 +28.2 2,058
P10 🇫🇮 K.Räikkönen 0 +1 13 P8 -19.3 2,309
P11 🇹🇭 A.Albon 11 0 3 P15 +11.9 2,067
P12 🇮🇹 A.Giovinazzi 17 +5 0 0 P17 +13.9 2,010
P13 🇩🇰 K.Magnussen 12 -1 0 8 P10 -6.0 2,086
P14 🇩🇪 N.Hülkenberg 15 +1 0 6 P11 +0.8 2,001
P15 🇬🇧 G.Russell 16 +1 0 0 P19 -2.2 1,974
P16 🇵🇱 R.Kubica 0 0 0 P20 -30.2 2,098
DNF 🇫🇷 P.Gasly 0 0 13 P7 -36.4 2,091
DNF 🇫🇷 R.Grosjean 14 0 0 P18 -28.8 2,003
DNF 🇷🇺 D.Kvyat 6 0 1 P16 -34.7 1,995
DNF 🇦🇺 D.Ricciardo 10 0 6 P13 -56.6 2,081
# Driver Q1 Q2 Q3 Gap Elo
1 🇫🇮 V.Bottas 1:42.026 1:41.500 1:40.495 1:40.495 1,862
2 🇬🇧 L.Hamilton 1:41.614 1:41.580 1:40.554 +0.059 2,437
3 🇩🇪 S.Vettel 1:42.042 1:41.889 1:40.797 +0.302 2,156
4 🇳🇱 M.Verstappen 1:41.727 1:41.388 1:41.069 +0.574 2,335
5 🇲🇽 S.Pérez 1:42.249 1:41.870 1:41.593 +1.098 1,955
6 🇷🇺 D.Kvyat 1:42.324 1:42.221 1:41.681 +1.186 2,171
7 🇬🇧 L.Norris 1:42.371 1:42.084 1:41.886 +1.391 2,417
8 🇮🇹 A.Giovinazzi 1:42.140 1:42.381 1:42.424 +1.929 2,042
9 🇲🇨 C.Leclerc 1:41.426 1:41.995 +1.5 2,308
10 🇪🇸 C.Sainz 1:41.936 1:42.398 +1.903 2,061
11 🇦🇺 D.Ricciardo 1:42.486 1:42.477 +1.982 2,055
12 🇹🇭 A.Albon 1:42.154 1:42.494 +1.999 1,979
13 🇩🇰 K.Magnussen 1:42.382 1:42.699 +2.204 2,056
14 🇨🇦 L.Stroll 1:42.630 +2.135 1,901
15 🇫🇷 R.Grosjean 1:43.407 +2.912 1,931
16 🇩🇪 N.Hülkenberg 1:43.427 +2.932 2,099
17 🇬🇧 G.Russell 1:45.062 +4.567 2,405
18 🇵🇱 R.Kubica 1:45.455 +4.96 1,892
19 🇫🇮 K.Räikkönen 2,029
20 🇫🇷 P.Gasly 2,203
Data: Jolpica (Ergast) API

Elo Changes