Round 5 · 2014

Circuit de Barcelona-Catalunya

Montmeló, Spain · May 11, 2014 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

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

R052014
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22 stored results 22/22 Elo snapshots 22/22 numbered grid slots 22/22 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 577 earlier finishes across 35 races, 2004–2013. No results from this race enter its expectation.

Top 3

Beat the estimate
  1. Daniel Ricciardo Red Bull · Elo #11 · Q3

    Expected P5.8 Finished P3

    +2.8places
  2. Lewis Hamilton Mercedes · Elo #4 · Q1

    Expected P3.1 Finished P1

    +2.1places
  3. Sebastian Vettel Red Bull · Elo #1 · Q10

    Expected P6.0 Finished P4

    +2.0places

Flop 3

Below the estimate
  1. Felipe Massa Williams · Elo #9 · Q9

    Expected P7.8 Finished P13

    −5.2places
  2. Marcus Ericsson Caterham · Elo #20 · Q20

    Expected P15.4 Finished P20

    −4.6places
  3. Esteban Gutiérrez Sauber · Elo #16 · Q14

    Expected P11.8 Finished P16

    −4.2places

20/22 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 → P22vs expectedReading
L. HamiltonMercedes #42395 P1 P3.1P1–P8 P1 +2.1places In range
N. RosbergMercedes #22472 P2 P3.0P1–P8 P2 +1.0places In range
D. RicciardoRed Bull #112163 P3 P5.8P1–P10 P3 +2.8places In range
S. VettelRed Bull #12509 P10 Grid P15 P6.0P1–P11 P4 +2.0places In range
V. BottasWilliams #102179 P4 P6.0P1–P11 P5 +1.0places In range
F. AlonsoFerrari #32457 P7 P5.3P1–P10 P6 −0.7places In range
K. RäikkönenFerrari #62267 P6 P5.7P1–P10 P7 −1.3places In range
R. GrosjeanLotus F1 #122127 P5 P6.9P2–P11 P8 −1.1places In range
S. PérezForce India #82223 P12 Grid P11 P8.8P4–P13 P9 −0.2places In range
N. HülkenbergForce India #52309 P11 Grid P10 P7.6P3–P12 P10 −2.4places In range
J. ButtonMcLaren #72241 P8 P6.8P2–P11 P11 −4.2places In range
K. MagnussenMcLaren #142084 P15 Grid P14 P11.7P7–P16 P12 −0.3places In range
F. MassaWilliams #92207 P9 P7.8P3–P12 P13 −5.2places Below range
D. KvyatToro Rosso #132112 P13 Grid P12 P10.6P6–P15 P14 −3.4places In range
P. MaldonadoLotus F1 #182012 P22 P15.7P11–P20 P15 +0.7places In range
E. GutiérrezSauber #162026 P14 Grid P13 P11.8P7–P16 P16 −4.2places In range
A. SutilSauber #191956 P17 Grid P16 P13.9P9–P18 P17 −3.1places In range
J. BianchiMarussia #221901 P19 Grid P18 P15.5P11–P20 P18 −2.5places In range
M. ChiltonMarussia #211918 P18 Grid P17 P14.8P10–P19 P19 −4.2places In range
M. EricssonCaterham #201946 P20 Grid P19 P15.4P11–P20 P20 −4.6places In range
K. KobayashiCaterham #152059 P21 Grid P20 P14.5P10–P19 DNFBrakes Not assessedDNF: Brakes
J. VergneToro Rosso #172019 P16 Grid P21 P12.9P8–P17 DNFExhaust Not assessedDNF: Exhaust
How useful is the model? See the historical check

Average absolute error on 577 classified finishes in 35 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
2.56places
Qualifying only
2.72places
Elo only
3.04places

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

Vergne−46.3 Elo

Largest grid-to-finish gain

Vettel+11 places

The bigger picture

Championship after this round

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

  1. 1 Hamilton 100pts +1
  2. 2 Rosberg 97pts −1
  3. 3 Alonso 49pts 0
  4. 4 Vettel 45pts +1
  5. 5 Ricciardo 39pts +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.

Williams

BottasP5+39.5 Elo
MassaP13−18.2 Elo

8 places apart at the finish.

Q3 · Bottas 0.770s faster

Toro Rosso

KvyatP14−8.8 Elo
VergneDNF−46.3 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Kvyat 0.120s faster

Sauber

GutiérrezP16−7.9 Elo
SutilP17−3.8 Elo

1 place apart at the finish.

Q1 · Gutiérrez 0.189s faster

Marussia

BianchiP18−2.9 Elo
ChiltonP19−11.8 Elo

1 place apart at the finish.

Q1 · Chilton 0.591s faster

Caterham

EricssonP20−22.2 Elo
KobayashiDNF−46.2 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Ericsson 0.063s 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 →
22
Result Entries
Avg Elo
Highest Elo (Vettel)
2
Non-finishes

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇬🇧 L.Hamilton 1 +25 100 P1 +32.9 2,428
P2 🇩🇪 N.Rosberg 2 +18 97 P2 +17.3 2,489
P3 🇦🇺 D.Ricciardo 3 +15 39 P5 +55.3 2,219
P4 🇩🇪 S.Vettel 15 +11 +12 45 P4 +0.3 2,509
P5 🇫🇮 V.Bottas 4 -1 +10 34 P7 +39.5 2,218
P6 🇪🇸 F.Alonso 7 +1 +8 49 P3 -7.5 2,449
P7 🇫🇮 K.Räikkönen 6 -1 +6 17 P11 +11.7 2,279
P8 🇫🇷 R.Grosjean 5 -3 +4 4 P13 +28.3 2,156
P9 🇲🇽 S.Pérez 11 +2 +2 20 P10 +5.6 2,229
P10 🇩🇪 N.Hülkenberg 10 +1 37 P6 -14.6 2,295
P11 🇬🇧 J.Button 8 -3 0 23 P8 -10.6 2,230
P12 🇩🇰 K.Magnussen 14 +2 0 20 P9 +9.1 2,093
P13 🇧🇷 F.Massa 9 -4 0 12 P12 -18.2 2,189
P14 🇷🇺 D.Kvyat 12 -2 0 4 P15 -8.8 2,103
P15 🇻🇪 P.Maldonado 22 +7 0 0 P20 +1.0 2,013
P16 🇲🇽 E.Gutiérrez 13 -3 0 0 P17 -7.9 2,018
P17 🇩🇪 A.Sutil 16 -1 0 0 P16 -3.8 1,952
P18 🇫🇷 J.Bianchi 18 0 0 P22 -2.9 1,898
P19 🇬🇧 M.Chilton 17 -2 0 0 P18 -11.8 1,906
P20 🇸🇪 M.Ericsson 19 -1 0 0 P21 -22.2 1,924
DNF 🇯🇵 K.Kobayashi 20 0 0 P19 -46.2 2,012
DNF 🇫🇷 J.Vergne 21 0 4 P14 -46.3 1,972
# Driver Q1 Q2 Q3 Gap Elo
1 🇬🇧 L.Hamilton 1:27.238 1:26.210 1:25.232 1:25.232 2,437
2 🇩🇪 N.Rosberg 1:26.764 1:26.088 1:25.400 +0.168 2,617
3 🇦🇺 D.Ricciardo 1:28.053 1:26.613 1:26.285 +1.053 2,055
4 🇫🇮 V.Bottas 1:28.198 1:27.563 1:26.632 +1.4 1,862
5 🇫🇷 R.Grosjean 1:28.472 1:27.258 1:26.960 +1.728 1,931
6 🇫🇮 K.Räikkönen 1:28.308 1:27.335 1:27.104 +1.872 2,029
7 🇪🇸 F.Alonso 1:28.329 1:27.602 1:27.140 +1.908 2,002
8 🇬🇧 J.Button 1:28.279 1:27.570 1:27.335 +2.103 2,016
9 🇧🇷 F.Massa 1:28.061 1:27.016 1:27.402 +2.17 2,196
10 🇩🇪 S.Vettel 1:27.958 1:27.052 +1.82 2,156
11 🇩🇪 N.Hülkenberg 1:28.155 1:27.685 +2.453 2,099
12 🇲🇽 S.Pérez 1:28.469 1:28.002 +2.77 1,955
13 🇷🇺 D.Kvyat 1:28.074 1:28.039 +2.807 2,171
14 🇲🇽 E.Gutiérrez 1:28.374 1:28.280 +3.048 2,002
15 🇩🇰 K.Magnussen 1:28.389 +3.157 2,056
16 🇫🇷 J.Vergne 1:28.194 +2.962 2,141
17 🇩🇪 A.Sutil 1:28.563 +3.331 1,925
18 🇬🇧 M.Chilton 1:29.586 +4.354 1,870
19 🇫🇷 J.Bianchi 1:30.177 +4.945 1,926
20 🇸🇪 M.Ericsson 1:30.312 +5.08 2,009
21 🇯🇵 K.Kobayashi 1:30.375 +5.143 1,887
22 🇻🇪 P.Maldonado 2,068
Data: Jolpica (Ergast) API

Elo Changes