Round 6 · 2022

Circuit de Barcelona-Catalunya

Montmeló, Spain · May 22, 2022 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

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

R062022
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 614 earlier finishes across 36 races, 2012–2021. No results from this race enter its expectation.

Top 3

Beat the estimate
  1. Fernando Alonso Alpine F1 Team · Elo #14 · Q17

    Expected P13.0 Finished P9

    +4.0places
  2. George Russell Mercedes · Elo #9 · Q4

    Expected P5.7 Finished P3

    +2.7places
  3. Sergio Pérez Red Bull · Elo #4 · Q5

    Expected P4.6 Finished P2

    +2.6places

Flop 3

Below the estimate
  1. Kevin Magnussen Haas F1 Team · Elo #17 · Q8

    Expected P10.0 Finished P17

    −7.0places
  2. Alexander Albon Williams · Elo #10 · Q19

    Expected P12.7 Finished P18

    −5.3places
  3. Daniel Ricciardo McLaren · Elo #13 · Q9

    Expected P9.2 Finished P12

    −2.8places

18/20 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 #22423 P2 P2.6P1–P6 P1 +1.6places In range
S. PérezRed Bull #42335 P5 P4.6P1–P8 P2 +2.6places In range
G. RussellMercedes #92226 P4 P5.7P2–P10 P3 +2.7places In range
C. SainzFerrari #62279 P3 P4.3P1–P8 P4 +0.3places In range
L. HamiltonMercedes #12478 P6 P4.1P1–P8 P5 −0.9places In range
V. BottasAlfa Romeo #52299 P7 P5.8P2–P10 P6 −0.2places In range
E. OconAlpine F1 Team #72235 P12 P8.6P5–P12 P7 +1.6places In range
L. NorrisMcLaren #82234 P11 P8.5P5–P12 P8 +0.5places In range
F. AlonsoAlpine F1 Team #142100 P17 Grid P20 P13.0P9–P17 P9 +4.0places In range
Y. TsunodaAlphaTauri #152088 P13 P11.6P8–P15 P10 +1.6places In range
S. VettelAston Martin #162068 P16 P13.2P9–P17 P11 +2.2places In range
D. RicciardoMcLaren #132126 P9 P9.2P5–P13 P12 −2.8places In range
P. GaslyAlphaTauri #112143 P14 P10.8P7–P15 P13 −2.2places In range
M. SchumacherHaas F1 Team #201901 P10 P11.8P8–P16 P14 −2.2places In range
L. StrollAston Martin #122127 P18 Grid P17 P12.8P9–P17 P15 −2.2places In range
N. LatifiWilliams #191936 P20 Grid P19 P15.9P12–P20 P16 −0.1places In range
K. MagnussenHaas F1 Team #172033 P8 P10.0P6–P14 P17 −7.0places Below range
A. AlbonWilliams #102222 P19 Grid P18 P12.7P9–P16 P18 −5.3places Below range
G. ZhouAlfa Romeo #182014 P15 P13.4P10–P17 DNFPower loss Not assessedDNF: Power loss
C. LeclercFerrari #32419 P1 P2.5P1–P6 DNFTurbo Not assessedDNF: Turbo
How useful is the model? See the historical check

Average absolute error on 614 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
2.41places
Elo only
2.67places

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

Russell+38.8 Elo

Largest Elo loss

Leclerc−88.4 Elo

Largest grid-to-finish gain

Alonso+11 places

The bigger picture

Championship after this round

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

  1. 1 Verstappen 110pts +1
  2. 2 Leclerc 104pts −1
  3. 3 Pérez 85pts 0
  4. 4 Russell 74pts 0
  5. 5 Sainz 65pts 0

Movement since round 5. 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

SainzP4+25.3 Elo
LeclercDNF−88.4 Elo

Non-finish recorded; no finishing gap comparison.

Q3 · Leclerc 0.416s faster

Alfa Romeo

BottasP6+10.6 Elo
ZhouDNF−27.4 Elo

Non-finish recorded; no finishing gap comparison.

Q2 · Bottas 1.041s faster

Williams

LatifiP16−0.3 Elo
AlbonP18−50.7 Elo

2 places apart at the finish.

Q1 · Albon 0.270s 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 +25 110 P1 +25.3 2,448
P2 🇲🇽 S.Pérez 5 +3 +19 85 P3 +29.8 2,364
P3 🇬🇧 G.Russell 4 +1 +15 74 P4 +38.8 2,265
P4 🇪🇸 C.Sainz 3 -1 +12 65 P5 +25.3 2,304
P5 🇬🇧 L.Hamilton 6 +1 +10 46 P6 -4.4 2,474
P6 🇫🇮 V.Bottas 7 +1 +8 38 P8 +10.6 2,309
P7 🇫🇷 E.Ocon 12 +5 +6 30 P9 +13.5 2,249
P8 🇬🇧 L.Norris 11 +3 +4 39 P7 +7.7 2,241
P9 🇪🇸 F.Alonso 20 +11 +2 4 P15 +21.1 2,121
P10 🇯🇵 Y.Tsunoda 13 +3 +1 11 P11 +16.7 2,105
P11 🇩🇪 S.Vettel 16 +5 0 4 P14 +13.5 2,082
P12 🇦🇺 D.Ricciardo 9 -3 0 11 P12 -0.7 2,125
P13 🇫🇷 P.Gasly 14 +1 0 6 P13 -9.1 2,134
P14 🇩🇪 M.Schumacher 10 -4 0 0 P19 +15.4 1,917
P15 🇨🇦 L.Stroll 17 +2 0 2 P17 -18.8 2,108
P16 🇨🇦 N.Latifi 19 +3 0 0 P21 -0.3 1,936
P17 🇩🇰 K.Magnussen 8 -9 0 15 P10 -17.9 2,015
P18 🇹🇭 A.Albon 18 0 3 P16 -50.7 2,171
DNF 🇨🇳 G.Zhou 15 0 1 P18 -27.4 1,986
DNF 🇲🇨 C.Leclerc 1 0 104 P2 -88.4 2,330
# Driver Q1 Q2 Q3 Gap Elo
1 🇲🇨 C.Leclerc 1:19.861 1:19.969 1:18.750 1:18.750 2,308
2 🇳🇱 M.Verstappen 1:20.091 1:19.219 1:19.073 +0.323 2,335
3 🇪🇸 C.Sainz 1:19.892 1:19.453 1:19.166 +0.416 2,061
4 🇬🇧 G.Russell 1:20.218 1:19.470 1:19.393 +0.643 2,405
5 🇲🇽 S.Pérez 1:20.447 1:19.830 1:19.420 +0.67 1,955
6 🇬🇧 L.Hamilton 1:20.252 1:19.794 1:19.512 +0.762 2,437
7 🇫🇮 V.Bottas 1:20.355 1:20.053 1:19.608 +0.858 1,862
8 🇩🇰 K.Magnussen 1:20.227 1:19.810 1:19.682 +0.932 2,056
9 🇦🇺 D.Ricciardo 1:20.549 1:20.287 1:20.297 +1.547 2,055
10 🇩🇪 M.Schumacher 1:20.683 1:20.436 1:20.368 +1.618 1,993
11 🇬🇧 L.Norris 1:20.838 1:20.471 +1.721 2,417
12 🇫🇷 E.Ocon 1:20.880 1:20.638 +1.888 2,035
13 🇯🇵 Y.Tsunoda 1:20.707 1:20.639 +1.889 2,130
14 🇫🇷 P.Gasly 1:20.719 1:20.861 +2.111 2,203
15 🇨🇳 G.Zhou 1:20.476 1:21.094 +2.344 1,961
16 🇩🇪 S.Vettel 1:20.954 +2.204 2,156
17 🇪🇸 F.Alonso 1:21.043 +2.293 2,002
18 🇨🇦 L.Stroll 1:21.418 +2.668 1,901
19 🇹🇭 A.Albon 1:21.645 +2.895 1,979
20 🇨🇦 N.Latifi 1:21.915 +3.165 1,900
Data: Jolpica (Ergast) API

Elo Changes