Round 10 · 2014

Hockenheimring

Hockenheim, Germany · July 20, 2014 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

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

R102014
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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 587 earlier finishes across 35 races, 2004–2014. No results from this race enter its expectation.

Top 3

Beat the estimate
  1. Lewis Hamilton Mercedes · Elo #3 · Q16

    Expected P9.2 Finished P3

    +6.2places
  2. Valtteri Bottas Williams · Elo #8 · Q2

    Expected P4.6 Finished P2

    +2.6places
  3. Pastor Maldonado Lotus F1 · Elo #18 · Q19

    Expected P14.6 Finished P12

    +2.6places

Flop 3

Below the estimate
  1. Kevin Magnussen McLaren · Elo #9 · Q4

    Expected P5.8 Finished P9

    −3.2places
  2. Jean-Éric Vergne Toro Rosso · Elo #15 · Q13

    Expected P11.2 Finished P13

    −1.8places
  3. Sergio Pérez Force India · Elo #10 · Q10

    Expected P8.6 Finished P10

    −1.4places

18/22 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
N. RosbergMercedes #12449 P1 P2.3P1–P7 P1 +1.3places In range
V. BottasWilliams #82301 P2 P4.6P1–P9 P2 +2.6places In range
L. HamiltonMercedes #32434 P16 Grid P20 P9.2P5–P14 P3 +6.2places Above range
S. VettelRed Bull #52338 P6 P5.5P1–P10 P4 +1.5places In range
F. AlonsoFerrari #22443 P7 P5.1P1–P10 P5 +0.1places In range
D. RicciardoRed Bull #42346 P5 P4.8P1–P9 P6 −1.2places In range
N. HülkenbergForce India #62320 P9 P7.1P2–P12 P7 +0.1places In range
J. ButtonMcLaren #72303 P11 P8.2P4–P13 P8 +0.2places In range
K. MagnussenMcLaren #92199 P4 P5.8P1–P10 P9 −3.2places In range
S. PérezForce India #102192 P10 P8.6P4–P13 P10 −1.4places In range
K. RäikkönenFerrari #122162 P12 P10.0P5–P15 P11 −1.0places In range
P. MaldonadoLotus F1 #181971 P19 Grid P18 P14.6P10–P19 P12 +2.6places In range
J. VergneToro Rosso #152024 P13 P11.2P7–P16 P13 −1.8places In range
E. GutiérrezSauber #191967 P14 Grid P16 P12.8P8–P17 P14 −1.2places In range
J. BianchiMarussia #201951 P18 Grid P17 P14.7P10–P19 P15 −0.3places In range
K. KobayashiCaterham #172003 P20 Grid P19 P14.8P10–P19 P16 −1.2places In range
M. ChiltonMarussia #221914 P21 P16.6P12–P21 P17 −0.4places In range
M. EricssonCaterham #211916 P22 P16.7P12–P21 P18 −1.3places In range
A. SutilSauber #162005 P17 Grid P15 P13.2P9–P18 DNFBrakes Not assessedDNF: Brakes
D. KvyatToro Rosso #142040 P8 P8.8P4–P13 DNFOil leak Not assessedDNF: Oil leak
R. GrosjeanLotus F1 #132138 P15 Grid P14 P11.5P7–P16 DNFWater leak Not assessedDNF: Water leak
F. MassaWilliams #112167 P3 P5.9P1–P11 DNFCollision Not assessedDNF: Collision
How useful is the model? See the historical check

Average absolute error on 587 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
2.57places
Qualifying only
2.73places
Elo only
3.07places

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

Bottas+40.1 Elo

Largest Elo loss

Massa−70.5 Elo

Largest grid-to-finish gain

Hamilton+17 places

The bigger picture

Championship after this round

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

  1. 1 Rosberg 190pts 0
  2. 2 Hamilton 176pts 0
  3. 3 Ricciardo 106pts 0
  4. 4 Alonso 97pts 0
  5. 5 Bottas 91pts 0

Movement since round 9. 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

BottasP2+40.1 Elo
MassaDNF−70.5 Elo

Non-finish recorded; no finishing gap comparison.

Q3 · Bottas 0.319s faster

Lotus F1

MaldonadoP12+27.1 Elo
GrosjeanDNF−59.0 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Grosjean 1.301s faster

Toro Rosso

VergneP13+12.5 Elo
KvyatDNF−36.4 Elo

Non-finish recorded; no finishing gap comparison.

Q2 · Kvyat 0.182s faster

Sauber

GutiérrezP14+14.5 Elo
SutilDNF−24.3 Elo

Non-finish recorded; no finishing gap comparison.

Q1 · Gutiérrez 0.403s 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 (Rosberg)
4
Non-finishes

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇩🇪 N.Rosberg 1 +25 190 P1 +26.6 2,475
P2 🇫🇮 V.Bottas 2 +18 91 P5 +40.1 2,341
P3 🇬🇧 L.Hamilton 20 +17 +15 176 P2 +15.1 2,449
P4 🇩🇪 S.Vettel 6 +2 +12 82 P6 +21.4 2,359
P5 🇪🇸 F.Alonso 7 +2 +10 97 P4 +0.8 2,444
P6 🇦🇺 D.Ricciardo 5 -1 +8 106 P3 +6.9 2,353
P7 🇩🇪 N.Hülkenberg 9 +2 +6 69 P7 +4.2 2,324
P8 🇬🇧 J.Button 11 +3 +4 59 P8 +0.2 2,303
P9 🇩🇰 K.Magnussen 4 -5 +2 37 P9 +10.2 2,209
P10 🇲🇽 S.Pérez 10 +1 29 P11 +4.7 2,197
P11 🇫🇮 K.Räikkönen 12 +1 0 19 P12 +3.1 2,165
P12 🇻🇪 P.Maldonado 18 +6 0 0 P19 +27.1 1,998
P13 🇫🇷 J.Vergne 13 0 9 P13 +12.5 2,036
P14 🇲🇽 E.Gutiérrez 16 +2 0 0 P20 +14.5 1,981
P15 🇫🇷 J.Bianchi 17 +2 0 2 P16 +10.1 1,961
P16 🇯🇵 K.Kobayashi 19 +3 0 0 P22 -4.1 1,999
P17 🇬🇧 M.Chilton 21 +4 0 0 P21 +1.9 1,916
P18 🇸🇪 M.Ericsson 22 +4 0 0 P18 -5.0 1,911
DNF 🇩🇪 A.Sutil 15 0 0 P17 -24.3 1,981
DNF 🇷🇺 D.Kvyat 8 0 6 P15 -36.4 2,004
DNF 🇫🇷 R.Grosjean 14 0 8 P14 -59.0 2,079
DNF 🇧🇷 F.Massa 3 0 30 P10 -70.5 2,097
# Driver Q1 Q2 Q3 Gap Elo
1 🇩🇪 N.Rosberg 1:17.631 1:17.109 1:16.540 1:16.540 2,617
2 🇫🇮 V.Bottas 1:18.215 1:17.353 1:16.759 +0.219 1,862
3 🇧🇷 F.Massa 1:18.381 1:17.370 1:17.078 +0.538 2,196
4 🇩🇰 K.Magnussen 1:18.260 1:17.788 1:17.214 +0.674 2,056
5 🇦🇺 D.Ricciardo 1:18.117 1:17.855 1:17.273 +0.733 2,055
6 🇩🇪 S.Vettel 1:18.194 1:17.646 1:17.577 +1.037 2,156
7 🇪🇸 F.Alonso 1:18.389 1:17.866 1:17.649 +1.109 2,002
8 🇷🇺 D.Kvyat 1:18.530 1:18.103 1:17.965 +1.425 2,171
9 🇩🇪 N.Hülkenberg 1:18.927 1:18.017 1:18.014 +1.474 2,099
10 🇲🇽 S.Pérez 1:18.916 1:18.161 1:18.035 +1.495 1,955
11 🇬🇧 J.Button 1:18.425 1:18.193 +1.653 2,016
12 🇫🇮 K.Räikkönen 1:18.534 1:18.273 +1.733 2,029
13 🇫🇷 J.Vergne 1:18.496 1:18.285 +1.745 2,141
14 🇲🇽 E.Gutiérrez 1:18.739 1:18.787 +2.247 2,002
15 🇫🇷 R.Grosjean 1:18.894 1:18.983 +2.443 1,931
16 🇬🇧 L.Hamilton 1:18.683 +2.143 2,437
17 🇩🇪 A.Sutil 1:19.142 +2.602 1,925
18 🇫🇷 J.Bianchi 1:19.676 +3.136 1,926
19 🇻🇪 P.Maldonado 1:20.195 +3.655 2,068
20 🇯🇵 K.Kobayashi 1:20.408 +3.868 1,887
21 🇬🇧 M.Chilton 1:20.489 +3.949 1,870
22 🇸🇪 M.Ericsson 2,009
Data: Jolpica (Ergast) API

Elo Changes