Round 5 · 2021

Circuit de Monaco

Monte-Carlo, Monaco · May 23, 2021 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

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

R052021
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20 stored results 20/20 Elo snapshots 20/20 numbered grid slots 19/20 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 624 earlier finishes across 36 races, 2011–2020. No results from this race enter its expectation.

19/20 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
  1. Sebastian Vettel Aston Martin · Elo #12 · Q8

    Expected P8.4 Finished P5

    +3.4places
  2. Sergio Pérez Red Bull · Elo #7 · Q9

    Expected P7.2 Finished P4

    +3.2places
  3. Carlos Sainz Ferrari · Elo #6 · Q4

    Expected P4.7 Finished P2

    +2.7places

Flop 3

Below the estimate
  1. Daniel Ricciardo McLaren · Elo #4 · Q12

    Expected P7.5 Finished P12

    −4.5places
  2. Yuki Tsunoda AlphaTauri · Elo #16 · Q16

    Expected P13.2 Finished P16

    −2.8places
  3. Lewis Hamilton Mercedes · Elo #1 · Q7

    Expected P4.4 Finished P7

    −2.6places

17/20 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
M. VerstappenRed Bull #22421 P2 P2.5P1–P6 P1 +1.5places In range
C. SainzFerrari #62299 P4 P4.7P1–P8 P2 +2.7places In range
L. NorrisMcLaren #52322 P5 P4.8P1–P9 P3 +1.8places In range
S. PérezRed Bull #72287 P9 P7.2P4–P11 P4 +3.2places In range
S. VettelAston Martin #122079 P8 P8.4P5–P12 P5 +3.4places In range
P. GaslyAlphaTauri #102173 P6 P6.9P3–P11 P6 +0.9places In range
L. HamiltonMercedes #12714 P7 P4.4P1–P8 P7 −2.6places In range
L. StrollAston Martin #112142 P13 P10.2P7–P14 P8 +2.2places In range
E. OconAlpine F1 Team #92209 P11 P8.7P5–P12 P9 −0.3places In range
A. GiovinazziAlfa Romeo #152004 P10 P10.3P7–P14 P10 +0.3places In range
K. RäikkönenAlfa Romeo #132038 P14 P11.3P8–P15 P11 +0.3places In range
D. RicciardoMcLaren #42329 P12 P7.5P4–P11 P12 −4.5places Below range
F. AlonsoAlpine F1 Team #142006 P17 P12.9P9–P17 P13 −0.1places In range
G. RussellWilliams #171964 P15 P13.1P9–P17 P14 −0.9places In range
N. LatifiWilliams #201877 P18 P15.3P12–P19 P15 +0.3places In range
Y. TsunodaAlphaTauri #161990 P16 P13.2P9–P17 P16 −2.8places In range
N. MazepinHaas F1 Team #191907 P19 P15.4P12–P19 P17 −1.6places In range
M. SchumacherHaas F1 Team #181945 No error range P18 Not assessedQualifying unavailable
V. BottasMercedes #32370 P3 P3.3P1–P7 DNFWheel nut Not assessedDNF: Wheel nut
C. LeclercFerrari #82275 P1 P4.1P1–P8 DNFDriveshaft Not assessedDNF: Driveshaft
How useful is the model? See the historical check

Average absolute error on 624 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
2.16places
Qualifying only
2.41places
Elo only
2.62places

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

Vettel+43.7 Elo

Largest Elo loss

Bottas−77.5 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 105pts +1
  2. 2 Hamilton 101pts −1
  3. 3 Norris 56pts +1
  4. 4 Bottas 47pts −1
  5. 5 Pérez 44pts +1

Movement since round 4. 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

SainzP2+32.9 Elo
LeclercDNF−72.3 Elo

Non-finish recorded; no finishing gap comparison.

Q3 · Leclerc 0.265s faster

Mercedes

HamiltonP7−30.2 Elo
BottasDNF−77.5 Elo

Non-finish recorded; no finishing gap comparison.

Q3 · Bottas 0.494s 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)
2
Non-finishes

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇳🇱 M.Verstappen 2 +1 +25 105 P1 +25.4 2,446
P2 🇪🇸 C.Sainz 4 +2 +18 38 P7 +32.9 2,332
P3 🇬🇧 L.Norris 5 +2 +15 56 P3 +24.1 2,346
P4 🇲🇽 S.Pérez 9 +5 +12 44 P5 +22.4 2,309
P5 🇩🇪 S.Vettel 8 +3 +10 10 P11 +43.7 2,123
P6 🇫🇷 P.Gasly 6 +8 16 P9 +25.1 2,198
P7 🇬🇧 L.Hamilton 7 +7 101 P2 -30.2 2,683
P8 🇨🇦 L.Stroll 13 +5 +4 9 P12 +17.3 2,159
P9 🇫🇷 E.Ocon 11 +2 +2 12 P10 +2.3 2,211
P10 🇮🇹 A.Giovinazzi 10 +1 1 P15 +23.4 2,027
P11 🇫🇮 K.Räikkönen 14 +3 0 0 P16 +13.1 2,051
P12 🇦🇺 D.Ricciardo 12 0 24 P8 -30.7 2,298
P13 🇪🇸 F.Alonso 17 +4 0 5 P13 +5.1 2,011
P14 🇬🇧 G.Russell 15 +1 0 0 P17 +4.2 1,968
P15 🇨🇦 N.Latifi 18 +3 0 0 P18 +7.7 1,885
P16 🇯🇵 Y.Tsunoda 16 0 2 P14 -10.9 1,979
P17 🇷🇺 N.Mazepin 19 +2 0 0 P20 -7.4 1,900
P18 🇩🇪 M.Schumacher 20 +2 0 0 P19 -17.6 1,927
DNF 🇫🇮 V.Bottas 3 0 47 P4 -77.5 2,293
DNF 🇲🇨 C.Leclerc 1 0 40 P6 -72.3 2,203
# Driver Q1 Q2 Q3 Gap Elo
1 🇲🇨 C.Leclerc 1:11.113 1:10.597 1:10.346 1:10.346 2,308
2 🇳🇱 M.Verstappen 1:11.124 1:10.650 1:10.576 +0.23 2,335
3 🇫🇮 V.Bottas 1:10.938 1:10.695 1:10.601 +0.255 1,862
4 🇪🇸 C.Sainz 1:11.324 1:10.806 1:10.611 +0.265 2,061
5 🇬🇧 L.Norris 1:11.321 1:11.031 1:10.620 +0.274 2,417
6 🇫🇷 P.Gasly 1:11.560 1:11.179 1:10.900 +0.554 2,203
7 🇬🇧 L.Hamilton 1:11.622 1:11.116 1:11.095 +0.749 2,437
8 🇩🇪 S.Vettel 1:12.078 1:11.309 1:11.419 +1.073 2,156
9 🇲🇽 S.Pérez 1:11.644 1:11.019 1:11.573 +1.227 1,955
10 🇮🇹 A.Giovinazzi 1:11.658 1:11.409 1:11.779 +1.433 2,042
11 🇫🇷 E.Ocon 1:11.740 1:11.486 +1.14 2,035
12 🇦🇺 D.Ricciardo 1:11.747 1:11.598 +1.252 2,055
13 🇨🇦 L.Stroll 1:11.979 1:11.600 +1.254 1,901
14 🇫🇮 K.Räikkönen 1:11.899 1:11.642 +1.296 2,029
15 🇬🇧 G.Russell 1:12.016 1:11.830 +1.484 2,405
16 🇯🇵 Y.Tsunoda 1:12.096 +1.75 2,130
17 🇪🇸 F.Alonso 1:12.205 +1.859 2,002
18 🇨🇦 N.Latifi 1:12.366 +2.02 1,900
19 🇷🇺 N.Mazepin 1:12.958 +2.612 1,801
Data: Jolpica (Ergast) API

Elo Changes