Round 2 · 1974

Autódromo José Carlos Pace

São Paulo, Brazil · January 27, 1974 · Circuit History · Wikipedia

Kings of this circuit
The race, in perspective

Race debrief

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

R021974
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25 stored results 25/25 Elo snapshots 25/25 numbered grid slots 0/25 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.

This race has insufficient earlier history: 0/20 races and 0/200 classified finishes with Elo and qualifying. Estimates are withheld.

0/25 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

No comparable estimates available for this race yet.

Flop 3

Below the estimate

No comparable estimates available for this race yet.

0/25 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 → P25vs expectedReading
E. FittipaldiMcLaren #32277 No error range P1 Not assessedQualifying unavailable
C. RegazzoniFerrari #62211 No error range P2 Not assessedQualifying unavailable
J. IckxTeam Lotus #72208 No error range P3 Not assessedQualifying unavailable
C. PaceSurtees #201994 No error range P4 Not assessedQualifying unavailable
M. HailwoodMcLaren #102148 No error range P5 Not assessedQualifying unavailable
R. PetersonTeam Lotus #52211 No error range P6 Not assessedQualifying unavailable
C. ReutemannBrabham #22277 No error range P7 Not assessedQualifying unavailable
P. DepaillerTyrrell #112136 No error range P8 Not assessedQualifying unavailable
J. HuntMarch #122101 No error range P9 Not assessedQualifying unavailable
J. BeltoiseBRM #42232 No error range P10 Not assessedQualifying unavailable
G. HillLola #142072 No error range P11 Not assessedQualifying unavailable
D. HulmeMcLaren #12300 No error range P12 Not assessedQualifying unavailable
J. ScheckterTyrrell #221976 No error range P13 Not assessedQualifying unavailable
H. PescaroloBRM #152069 No error range P14 Not assessedQualifying unavailable
R. RobartsBrabham #192002 No error range P15 Not assessedQualifying unavailable
F. MigaultBRM #241948 No error range P16 Not assessedQualifying unavailable
J. MassSurtees #231967 No error range P17 Not assessedQualifying unavailable
J. WatsonBrabham #182015 No error range DNFClutch Not assessedQualifying unavailable
H. StuckMarch #211994 No error range DNFTransmission Not assessedQualifying unavailable
J. JarierShadow #251946 No error range DNFBrakes Not assessedQualifying unavailable
A. MerzarioIso Marlboro #172026 No error range DNFThrottle Not assessedQualifying unavailable
P. RevsonShadow #92182 No error range DNFOverheating Not assessedQualifying unavailable
H. GanleyMarch #82183 No error range DNFIgnition Not assessedQualifying unavailable
N. LaudaFerrari #132079 No error range DNFEngine Not assessedQualifying unavailable
G. EdwardsLola #162041 No error range DNFChassis Not assessedQualifying unavailable
How useful is the model? See the historical check

There is not enough earlier history for a rolling hold-out check yet.

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

Pace+97.8 Elo

Largest Elo loss

Ganley−98.7 Elo

Largest grid-to-finish gain

Hill+10 places

The bigger picture

Championship after this round

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

  1. 1 Regazzoni 10pts +2
  2. 2 Fittipaldi 9pts +8
  3. 3 Hulme 9pts −2
  4. 4 Lauda 6pts −2
  5. 5 Hailwood 5pts −1

Movement since round 1. 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.

Lola

HillP11+23.7 Elo
EdwardsDNF−78.3 Elo

Non-finish recorded; no finishing gap comparison.

Shadow

JarierDNF−16.4 Elo
RevsonDNF−90.4 Elo

Non-finish recorded; no finishing gap comparison.

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 →
25
Result Entries
Avg Elo
Highest Elo (Fittipaldi)
8
Non-finishes

Race

Qualifying

# Driver Grid +/- Points Season Pts Season # Elo Change Elo
P1 🇧🇷 E.Fittipaldi 1 +9 9 P2 +52.2 2,329
P2 🇨🇭 C.Regazzoni 8 +6 +6 10 P1 +59.2 2,270
P3 🇧🇪 J.Ickx 5 +2 +4 4 P6 +52.2 2,260
P4 🇧🇷 C.Pace 12 +8 +3 3 P7 +97.8 2,092
P5 🇬🇧 M.Hailwood 7 +2 +2 5 P5 +51.2 2,199
P6 🇸🇪 R.Peterson 4 -2 +1 1 P10 +27.7 2,239
P7 🇦🇷 C.Reutemann 2 -5 0 0 P11 +5.0 2,282
P8 🇫🇷 P.Depailler 16 +8 0 1 P9 +30.9 2,166
P9 🇬🇧 J.Hunt 18 +9 0 0 P14 +31.9 2,133
P10 🇫🇷 J.Beltoise 17 +7 0 2 P8 -8.3 2,223
P11 🇬🇧 G.Hill 21 +10 0 0 P15 +23.7 2,095
P12 🇳🇿 D.Hulme 11 -1 0 9 P3 -38.8 2,261
P13 🇿🇦 J.Scheckter 14 +1 0 0 P18 +31.5 2,008
P14 🇫🇷 H.Pescarolo 22 +8 0 0 P13 +0.9 2,070
P15 🇬🇧 R.Robarts 24 +9 0 0 P19 +9.8 2,012
P16 🇫🇷 F.Migault 23 +7 0 0 P20 +14.4 1,963
P17 🇩🇪 J.Mass 10 -7 0 0 P21 +2.4 1,969
DNF 🇬🇧 J.Watson 15 0 0 P17 -16.9 1,998
DNF 🇩🇪 H.Stuck 13 0 0 P22 -19.7 1,974
DNF 🇫🇷 J.Jarier 19 0 0 P23 -16.4 1,930
DNF 🇮🇹 A.Merzario 9 0 0 P24 -43.3 1,983
DNF 🇺🇸 P.Revson 6 0 0 P25 -90.4 2,091
DNF 🇳🇿 H.Ganley 20 0 0 P12 -98.7 2,085
DNF 🇦🇹 N.Lauda 25 0 6 P4 -80.0 1,999
DNF 🇬🇧 G.Edwards 3 0 0 P16 -78.3 1,963

Qualifying results are not available for this race.

Elo Changes