Round 17 · 2022

Marina Bay Street Circuit

Marina Bay, Singapore · October 02, 2022 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

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

R172022
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20 stored results 20/20 Elo snapshots 19/20 numbered grid slots 0/20 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 626 earlier finishes across 37 races, 2012–2022. No results from this race enter its expectation.

0/20 entrants have an estimate. Missing Elo or qualifying stays visible below; a grid position is not used as a qualifying result.

Top 3

Beat the estimate

No comparable estimates available for this race yet.

Flop 3

Below the estimate

No comparable estimates available for this race yet.

0/20 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
S. PérezRed Bull #42365 No error range P1 Not assessedQualifying unavailable
C. LeclercFerrari #52363 No error range P2 Not assessedQualifying unavailable
C. SainzFerrari #62353 No error range P3 Not assessedQualifying unavailable
L. NorrisMcLaren #72272 No error range P4 Not assessedQualifying unavailable
D. RicciardoMcLaren #142062 No error range P5 Not assessedQualifying unavailable
L. StrollAston Martin #112099 No error range P6 Not assessedQualifying unavailable
M. VerstappenRed Bull #12574 No error range P7 Not assessedQualifying unavailable
S. VettelAston Martin #122087 No error range P8 Not assessedQualifying unavailable
L. HamiltonMercedes #22423 No error range P9 Not assessedQualifying unavailable
P. GaslyAlphaTauri #102156 No error range P10 Not assessedQualifying unavailable
V. BottasAlfa Romeo #152056 No error range P11 Not assessedQualifying unavailable
K. MagnussenHaas F1 Team #181983 No error range P12 Not assessedQualifying unavailable
M. SchumacherHaas F1 Team #162019 No error range P13 Not assessedQualifying unavailable
G. RussellMercedes #32410 Grid unnumbered No error range P14 Not assessedQualifying unavailable
Y. TsunodaAlphaTauri #191962 No error range DNFAccident Not assessedQualifying unavailable
E. OconAlpine F1 Team #82242 No error range DNFEngine Not assessedQualifying unavailable
A. AlbonWilliams #132081 No error range DNFCollision damage Not assessedQualifying unavailable
F. AlonsoAlpine F1 Team #92218 No error range DNFEngine Not assessedQualifying unavailable
N. LatifiWilliams #201911 No error range DNFCollision damage Not assessedQualifying unavailable
G. ZhouAlfa Romeo #172018 No error range DNFCollision Not assessedQualifying unavailable
How useful is the model? See the historical check

Average absolute error on 626 classified finishes in 37 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
2.37places
Elo only
2.63places

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

Alonso−50.7 Elo

Largest grid-to-finish gain

Ricciardo+11 places

The bigger picture

Championship after this round

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

  1. 1 Verstappen 341pts 0
  2. 2 Leclerc 237pts 0
  3. 3 Pérez 235pts 0
  4. 4 Russell 203pts 0
  5. 5 Sainz 202pts 0

Movement since round 16. 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.

Alfa Romeo

BottasP11+13.7 Elo
ZhouDNF−35.5 Elo

Non-finish recorded; no finishing gap comparison.

Williams

AlbonDNF−25.8 Elo
LatifiDNF−17.0 Elo

Non-finish recorded; no finishing gap comparison.

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 (Verstappen)
6
Non-finishes

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇲🇽 S.Pérez 2 +1 +25 235 P3 +32.6 2,397
P2 🇲🇨 C.Leclerc 1 -1 +18 237 P2 +26.8 2,390
P3 🇪🇸 C.Sainz 4 +1 +15 202 P5 +21.9 2,375
P4 🇬🇧 L.Norris 6 +2 +12 100 P7 +26.2 2,298
P5 🇦🇺 D.Ricciardo 16 +11 +10 29 P11 +48.9 2,111
P6 🇨🇦 L.Stroll 11 +5 +8 13 P15 +37.9 2,137
P7 🇳🇱 M.Verstappen 8 +1 +6 341 P1 -23.1 2,551
P8 🇩🇪 S.Vettel 13 +5 +4 24 P12 +27.5 2,115
P9 🇬🇧 L.Hamilton 3 -6 +2 170 P6 -21.9 2,401
P10 🇫🇷 P.Gasly 7 -3 +1 23 P13 +6.0 2,162
P11 🇫🇮 V.Bottas 15 +4 0 46 P10 +13.7 2,069
P12 🇩🇰 K.Magnussen 9 -3 0 22 P14 +17.0 2,000
P13 🇩🇪 M.Schumacher 12 -1 0 12 P16 +6.5 2,025
P14 🇬🇧 G.Russell 0 0 203 P4 -50.5 2,359
DNF 🇯🇵 Y.Tsunoda 10 0 11 P17 +1.4 1,963
DNF 🇫🇷 E.Ocon 17 0 66 P8 -41.9 2,200
DNF 🇹🇭 A.Albon 18 0 4 P19 -25.8 2,055
DNF 🇪🇸 F.Alonso 5 0 59 P9 -50.7 2,168
DNF 🇨🇦 N.Latifi 19 0 0 P21 -17.0 1,894
DNF 🇨🇳 G.Zhou 14 0 6 P18 -35.5 1,983

Qualifying results are not available for this race.

Elo Changes