Round 22 · 2023

Yas Marina Circuit

Abu Dhabi, UAE · November 26, 2023 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

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

R222023
Share this debrief
Preview share card ↗
18 stored results 18/18 Elo snapshots 18/18 numbered grid slots 18/18 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 595 earlier finishes across 36 races, 2014–2023. No results from this race enter its expectation.

16/18 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
  1. George Russell Mercedes · Elo #7 · Q4

    Expected P5.0 Finished P3

    +2.0places
  2. Charles Leclerc Ferrari · Elo #6 · Q2

    Expected P3.7 Finished P2

    +1.7places
  3. Sergio Pérez Red Bull · Elo #2 · Q9

    Expected P5.5 Finished P4

    +1.5places

Flop 3

Below the estimate
  1. Nico Hülkenberg Haas F1 Team · Elo #17 · Q8

    Expected P10.0 Finished P15

    −5.0places
  2. Pierre Gasly Alpine F1 Team · Elo #9 · Q10

    Expected P8.2 Finished P13

    −4.8places
  3. Alexander Albon Williams · Elo #13 · Q14

    Expected P11.3 Finished P14

    −2.7places

15/18 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 → P18vs expectedReading
M. VerstappenRed Bull #12729 P1 P1.7P1–P5 P1 +0.7places In range
C. LeclercFerrari #62280 P2 P3.7P1–P7 P2 +1.7places In range
G. RussellMercedes #72272 P4 P5.0P2–P8 P3 +2.0places In range
S. PérezRed Bull #22345 P9 P5.5P2–P9 P4 +1.5places In range
L. NorrisMcLaren #42337 P5 P4.4P1–P8 P5 −0.6places In range
O. PiastriMcLaren #102180 P3 P5.5P2–P9 P6 −0.5places In range
F. AlonsoAston Martin #82256 P7 P6.6P3–P10 P7 −0.4places In range
Y. TsunodaAlphaTauri #152034 P6 P8.5P5–P12 P8 +0.5places In range
L. HamiltonMercedes #52328 P11 P7.4P4–P11 P9 −1.6places In range
L. StrollAston Martin #112162 P13 P10.2P7–P14 P10 +0.2places In range
D. RicciardoAlphaTauri #142085 P15 P12.1P9–P15 P11 +1.1places In range
E. OconAlpine F1 Team #122158 P12 P10.1P7–P13 P12 −1.9places In range
P. GaslyAlpine F1 Team #92193 P10 P8.2P5–P12 P13 −4.8places Below range
A. AlbonWilliams #132100 P14 P11.3P8–P15 P14 −2.7places In range
N. HülkenbergHaas F1 Team #172000 P8 P10.0P7–P13 P15 −5.0places Below range
L. SargeantWilliams #181965 No error range P16 Not assessedQualifying unavailable
G. ZhouAlfa Romeo #162023 No error range P17 Not assessedQualifying unavailable
C. SainzFerrari #32341 P16 P8.9P6–P12 DNFRetired Not assessedDNF: Retired
How useful is the model? See the historical check

Average absolute error on 595 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
2.07places
Qualifying only
2.29places
Elo only
2.51places

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

Leclerc+36.9 Elo

Largest Elo loss

Sainz−72.6 Elo

Largest grid-to-finish gain

Pérez+5 places

The bigger picture

Championship after this round

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

  1. 1 Verstappen 575pts 0
  2. 2 Pérez 285pts 0
  3. 3 Hamilton 234pts 0
  4. 4 Alonso 206pts +1
  5. 5 Leclerc 206pts +2

Movement since round 21. 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

LeclercP2+36.9 Elo
SainzDNF−72.6 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Leclerc 0.279s faster

McLaren

NorrisP5+10.5 Elo
PiastriP6+25.2 Elo

1 place apart at the finish.

Q3 · Piastri 0.034s 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 →
18
Result Entries
Avg Elo
Highest Elo (Verstappen)
1
Non-finishes

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇳🇱 M.Verstappen 1 +26 575 P1 +5.4 2,734
P2 🇲🇨 C.Leclerc 2 +18 206 P5 +36.9 2,317
P3 🇬🇧 G.Russell 4 +1 +15 175 P8 +31.7 2,303
P4 🇲🇽 S.Pérez 9 +5 +12 285 P2 +15.9 2,361
P5 🇬🇧 L.Norris 5 +10 205 P6 +10.5 2,347
P6 🇦🇺 O.Piastri 3 -3 +8 97 P9 +25.2 2,206
P7 🇪🇸 F.Alonso 7 +6 206 P4 +8.4 2,264
P8 🇯🇵 Y.Tsunoda 6 -2 +4 17 P14 +31.9 2,066
P9 🇬🇧 L.Hamilton 11 +2 +2 234 P3 -13.8 2,314
P10 🇨🇦 L.Stroll 13 +3 +1 74 P10 +2.4 2,164
P11 🇦🇺 D.Ricciardo 15 +4 0 6 P17 +6.4 2,091
P12 🇫🇷 E.Ocon 12 0 58 P12 -9.8 2,148
P13 🇫🇷 P.Gasly 10 -3 0 62 P11 -21.0 2,172
P14 🇹🇭 A.Albon 14 0 27 P13 -14.6 2,085
P15 🇩🇪 N.Hülkenberg 8 -7 0 9 P16 -8.4 1,991
P16 🇺🇸 L.Sargeant 20 +4 0 1 P21 -11.0 1,954
P17 🇨🇳 G.Zhou 19 +2 0 6 P18 -23.8 1,999
DNF 🇪🇸 C.Sainz 16 0 200 P7 -72.6 2,269
# Driver Q1 Q2 Q3 Gap Elo
1 🇳🇱 M.Verstappen 1:24.160 1:23.740 1:23.445 1:23.445 2,335
2 🇲🇨 C.Leclerc 1:24.459 1:23.969 1:23.584 +0.139 2,308
3 🇦🇺 O.Piastri 1:24.487 1:24.278 1:23.782 +0.337 2,316
4 🇬🇧 G.Russell 1:24.337 1:24.013 1:23.788 +0.343 2,405
5 🇬🇧 L.Norris 1:24.368 1:23.920 1:23.816 +0.371 2,417
6 🇯🇵 Y.Tsunoda 1:24.286 1:24.207 1:23.968 +0.523 2,130
7 🇪🇸 F.Alonso 1:24.501 1:24.131 1:24.084 +0.639 2,002
8 🇩🇪 N.Hülkenberg 1:24.425 1:24.213 1:24.108 +0.663 2,099
9 🇲🇽 S.Pérez 1:24.209 1:24.116 1:24.171 +0.726 1,955
10 🇫🇷 P.Gasly 1:24.600 1:24.078 1:24.548 +1.103 2,203
11 🇬🇧 L.Hamilton 1:24.437 1:24.359 +0.914 2,437
12 🇫🇷 E.Ocon 1:24.565 1:24.391 +0.946 2,035
13 🇨🇦 L.Stroll 1:24.405 1:24.422 +0.977 1,901
14 🇹🇭 A.Albon 1:24.298 1:24.439 +0.994 1,979
15 🇦🇺 D.Ricciardo 1:24.461 1:24.442 +0.997 2,055
16 🇪🇸 C.Sainz 1:24.738 +1.293 2,061
17 🇩🇰 K.Magnussen 1:24.764 +1.319 2,056
18 🇫🇮 V.Bottas 1:24.788 +1.343 1,862
19 🇨🇳 G.Zhou 1:25.159 +1.714 1,961
20 🇺🇸 L.Sargeant 1,884
Data: Jolpica (Ergast) API

Elo Changes