The_Race-ist
Insights · Tier 1
Track record · scored, honest

Where we disagree with the market, and what happened next.

Every race we predict is benchmarked against live market consensus and scored after the flag. Hits and misses are published alike.

Generated 2026-10-19 16:05 · graph layer on · source poly_edge_log.json + knowledge graph + paper bankroll

4/5
Winner's team in model top-3
80% race-level hit rate · ROBUST surface
1/5
Model beat market (Brier)
driver surface · disclosed ~33% top-1
5
Races scored
21 per-stage snapshots logged
$10,869
Paper Kelly bankroll
PAPER only · not financial advice
37
Open hypotheses
2 confirmed · 4 refuted
339
Notes in the living graph
self-correcting knowledge graph

The edge ledger

Model probabilities vs live market consensus — ROBUST (constructor) and FRAGILE (driver) surfaces.

R13 · Italian Grand Prix
Winner team in top-3 ✓
stage race · 2026-09-06 12:45 · Winner: Kimi Antonelli · Brier model 0.954 vs market 0.955
Constructor scores 1stROBUST
Mercedes
42.6%
McLaren
13.7%
Ferrari
12.9%
Red Bull Racing
7.8%
Audi
4.1%
Racing Bulls
4.1%
Driver winnerFRAGILE · disclosed
ModelMarket
George Russell▼ -12.5pp
38.0%50.5%
Lewis Hamilton▼ -9.5pp
3.0%12.5%
Charles Leclerc▼ -8.0pp
10.0%18.0%
Lando Norris▲ +7.5pp
11.2%3.6%
Pierre Gasly▼ -3.2pp
2.5%5.7%
R14 · Spanish Grand Prix
Winner team in top-3 ✓
stage race · 2026-09-13 12:45 · Winner: Kimi Antonelli · Brier model 0.917 vs market 0.595
Constructor scores 1stROBUST
Mercedes
39.9%
McLaren
24.8%
Ferrari
8.8%
Red Bull Racing
8.7%
Racing Bulls
3.2%
Alpine
3.1%
Driver winnerFRAGILE · disclosed
ModelMarket
Kimi Antonelli▼ -32.2pp
8.3%40.5%
George Russell▲ +27.6pp
31.6%4.0%
Lando Norris▼ -11.1pp
22.9%34.0%
Max Verstappen▼ -6.0pp
7.5%13.5%
Lewis Hamilton▼ -4.4pp
2.1%6.5%
R15 · Azerbaijan Grand Prix
Winner team in top-3 ✓
stage race · 2026-09-26 10:46 · Winner: George Russell · Brier model 0.475 vs market 0.335
Constructor scores 1stROBUST
Mercedes
56.9%
Ferrari
11.3%
McLaren
9.6%
Red Bull Racing
6.0%
Racing Bulls
3.0%
Alpine
2.8%
Driver winnerFRAGILE · disclosed
ModelMarket
George Russell▼ -14.0pp
52.5%66.5%
Kimi Antonelli▼ -8.1pp
4.4%12.5%
Lando Norris▲ +3.4pp
7.2%3.8%
Oscar Piastri▼ -2.5pp
2.4%5.0%
Charles Leclerc▲ +2.0pp
9.8%7.8%
R16 · Bahrain Grand Prix
Winner team NOT in top-3 ✗
stage race · 2026-10-04 06:15 · Winner: Max Verstappen · Brier model 0.955 vs market 0.390
Constructor scores 1stROBUST
Mercedes
50.6%
McLaren
10.9%
Ferrari
8.3%
Red Bull Racing
6.8%
Alpine
4.3%
Racing Bulls
4.0%
Driver winnerFRAGILE · disclosed
ModelMarket
Max Verstappen▼ -56.5pp
4.5%61.0%
George Russell▲ +41.6pp
43.9%2.3%
Kimi Antonelli▼ -14.8pp
6.7%21.5%
Lewis Hamilton▼ -7.7pp
2.2%9.8%
Lando Norris▲ +6.1pp
8.6%2.5%
R17 · Singapore Grand Prix
Winner team in top-3 ✓
stage race · 2026-10-11 11:01 · Winner: Max Verstappen · Brier model 0.915 vs market 0.355
Constructor scores 1stROBUST
Mercedes
43.8%
Red Bull Racing
11.2%
McLaren
10.5%
Ferrari
8.7%
Racing Bulls
4.7%
Alpine
4.3%
Driver winnerFRAGILE · disclosed
ModelMarket
Max Verstappen▼ -56.0pp
8.5%64.5%
George Russell▲ +35.6pp
36.5%0.9%
Lewis Hamilton▼ -10.5pp
2.5%13.0%
Charles Leclerc▼ -6.2pp
6.3%12.5%
Lando Norris▲ +6.2pp
8.2%2.0%

The hypothesis ledger

Open bets recorded in the living knowledge graph, each dated and testable.

The honest rule

Hits & misses published

We score every race after it resolves and publish hits and misses alike — a miss is logged in the Corrections Log, not hidden.

ROBUST over FRAGILE

We lead with the team-level signal — the winner's team lands in our model top-3 far more reliably than the exact winner. Driver top-1 on competitive seasons is ~33% — disclosed, never featured.

Paper Kelly only

Stakes are PAPER (no real money). Sizing is a modeling exercise, not financial advice.

Young, not oversold

2026 is a regulation-reset year; the model is calibrated on 2021–25. The ledger is early and we say so — that is the product.

The_Race-ist — F1 as a macroeconomic machine · scored prediction track record.
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