Round 16 · 2021

Istanbul Park

Istanbul, Turkey · October 10, 2021 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

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

R162021
Share this debrief
Preview share card ↗
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 619 earlier finishes across 36 races, 2011–2021. No results from this race enter its expectation.

Top 3

Beat the estimate
  1. Sergio Pérez Red Bull · Elo #8 · Q7

    Expected P6.7 Finished P3

    +3.7places
  2. Antonio Giovinazzi Alfa Romeo · Elo #16 · Q18

    Expected P14.0 Finished P11

    +3.0places
  3. Valtteri Bottas Mercedes · Elo #4 · Q2

    Expected P3.2 Finished P1

    +2.2places

Flop 3

Below the estimate
  1. Fernando Alonso Alpine F1 Team · Elo #7 · Q6

    Expected P5.9 Finished P16

    −10.1places
  2. Sebastian Vettel Aston Martin · Elo #14 · Q11

    Expected P10.3 Finished P18

    −7.7places
  3. Mick Schumacher Haas F1 Team · Elo #19 · Q14

    Expected P13.2 Finished P19

    −5.8places

20/20 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 #42345 P2 Grid P1 P3.2P1–P7 P1 +2.2places In range
M. VerstappenRed Bull #22356 P3 Grid P2 P3.0P1–P7 P2 +1.0places In range
S. PérezRed Bull #82231 P7 Grid P6 P6.7P3–P10 P3 +3.7places In range
C. LeclercFerrari #92225 P4 Grid P3 P5.7P2–P9 P4 +1.7places In range
L. HamiltonMercedes #12547 P1 Grid P11 P1.8P1–P6 P5 −3.2places In range
P. GaslyAlphaTauri #102176 P5 Grid P4 P6.4P3–P10 P6 +0.4places In range
L. NorrisMcLaren #62316 P8 Grid P7 P6.5P3–P10 P7 −0.5places In range
C. SainzFerrari #32355 P15 Grid P19 P8.6P5–P12 P8 +0.6places In range
L. StrollAston Martin #132099 P9 Grid P8 P9.1P5–P13 P9 +0.1places In range
E. OconAlpine F1 Team #112158 P12 P9.8P6–P14 P10 −0.2places In range
A. GiovinazziAlfa Romeo #162016 P18 Grid P16 P14.0P10–P18 P11 +3.0places In range
K. RäikkönenAlfa Romeo #152058 P19 Grid P17 P14.2P10–P18 P12 +2.2places In range
D. RicciardoMcLaren #52333 P16 Grid P20 P9.7P6–P13 P13 −3.3places In range
Y. TsunodaAlphaTauri #171991 P10 Grid P9 P10.8P7–P15 P14 −3.2places In range
G. RussellWilliams #122101 P13 P10.6P7–P14 P15 −4.4places Below range
F. AlonsoAlpine F1 Team #72233 P6 Grid P5 P5.9P2–P10 P16 −10.1places Below range
N. LatifiWilliams #181967 P17 Grid P15 P14.2P10–P18 P17 −2.8places In range
S. VettelAston Martin #142088 P11 Grid P10 P10.3P7–P14 P18 −7.7places Below range
M. SchumacherHaas F1 Team #191884 P14 P13.2P9–P17 P19 −5.8places Below range
N. MazepinHaas F1 Team #201848 P20 Grid P18 P16.2P12–P20 P20 −3.8places In range
How useful is the model? See the historical check

Average absolute error on 619 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
2.17places
Qualifying only
2.40places
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 gain

Pérez+35.9 Elo

Largest Elo loss

Alonso−42.4 Elo

Largest grid-to-finish gain

Sainz+11 places

The bigger picture

Championship after this round

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

  1. 1 Verstappen 262.5pts +1
  2. 2 Hamilton 256.5pts −1
  3. 3 Bottas 177pts 0
  4. 4 Norris 145pts 0
  5. 5 Pérez 135pts 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

LeclercP4+30.7 Elo
SainzP8−10.2 Elo

4 places apart at the finish.

Q1 · Leclerc 0.308s faster

Williams

RussellP15−18.0 Elo
LatifiP17−12.6 Elo

2 places apart at the finish.

Q1 · Russell 0.669s 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)

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇫🇮 V.Bottas 1 +26 177 P3 +33.0 2,378
P2 🇳🇱 M.Verstappen 2 +18 262.5 P1 +25.6 2,382
P3 🇲🇽 S.Pérez 6 +3 +15 135 P5 +35.9 2,267
P4 🇲🇨 C.Leclerc 3 -1 +12 116 P7 +30.7 2,256
P5 🇬🇧 L.Hamilton 11 +6 +10 256.5 P2 -10.7 2,536
P6 🇫🇷 P.Gasly 4 -2 +8 74 P9 +25.6 2,201
P7 🇬🇧 L.Norris 7 +6 145 P4 +0.5 2,317
P8 🇪🇸 C.Sainz 19 +11 +4 116.5 P6 -10.2 2,344
P9 🇨🇦 L.Stroll 8 -1 +2 26 P13 +18.3 2,118
P10 🇫🇷 E.Ocon 12 +2 +1 46 P11 +4.1 2,162
P11 🇮🇹 A.Giovinazzi 16 +5 0 1 P18 +17.4 2,034
P12 🇫🇮 K.Räikkönen 17 +5 0 6 P17 +5.9 2,064
P13 🇦🇺 D.Ricciardo 20 +7 0 95 P8 -37.7 2,296
P14 🇯🇵 Y.Tsunoda 9 -5 0 18 P14 +2.6 1,993
P15 🇬🇧 G.Russell 13 -2 0 16 P15 -18.0 2,083
P16 🇪🇸 F.Alonso 5 -11 0 58 P10 -42.4 2,190
P17 🇨🇦 N.Latifi 15 -2 0 7 P16 -12.6 1,954
P18 🇩🇪 S.Vettel 10 -8 0 35 P12 -34.1 2,054
P19 🇩🇪 M.Schumacher 14 -5 0 0 P19 -15.6 1,868
P20 🇷🇺 N.Mazepin 18 -2 0 0 P21 -18.3 1,830
# Driver Q1 Q2 Q3 Gap Elo
1 🇬🇧 L.Hamilton 1:24.585 1:23.082 1:22.868 1:22.868 2,437
2 🇫🇮 V.Bottas 1:25.047 1:23.579 1:22.998 +0.13 1,862
3 🇳🇱 M.Verstappen 1:24.592 1:23.732 1:23.196 +0.328 2,335
4 🇲🇨 C.Leclerc 1:24.869 1:24.015 1:23.265 +0.397 2,308
5 🇫🇷 P.Gasly 1:24.704 1:23.817 1:23.326 +0.458 2,203
6 🇪🇸 F.Alonso 1:25.174 1:23.914 1:23.477 +0.609 2,002
7 🇲🇽 S.Pérez 1:24.963 1:23.961 1:23.706 +0.838 1,955
8 🇬🇧 L.Norris 1:25.138 1:24.642 1:23.954 +1.086 2,417
9 🇨🇦 L.Stroll 1:25.511 1:24.601 1:24.305 +1.437 1,901
10 🇯🇵 Y.Tsunoda 1:25.409 1:24.054 1:24.368 +1.5 2,130
11 🇩🇪 S.Vettel 1:25.787 1:24.795 +1.927 2,156
12 🇫🇷 E.Ocon 1:25.422 1:24.842 +1.974 2,035
13 🇬🇧 G.Russell 1:25.417 1:25.007 +2.139 2,405
14 🇩🇪 M.Schumacher 1:25.555 1:25.200 +2.332 1,993
15 🇪🇸 C.Sainz 1:25.177 +2.309 2,061
16 🇦🇺 D.Ricciardo 1:25.881 +3.013 2,055
17 🇨🇦 N.Latifi 1:26.086 +3.218 1,900
18 🇮🇹 A.Giovinazzi 1:26.430 +3.562 2,042
19 🇫🇮 K.Räikkönen 1:27.525 +4.657 2,029
20 🇷🇺 N.Mazepin 1:28.449 +5.581 1,801
Data: Jolpica (Ergast) API

Elo Changes