Benny's Lab SPORTS INTELLIGENCE

THE OPEN MODEL EXPERIMENT / EVERY TUESDAY

Show the evidence.
Then compare.

GPT-6.0, GPT-6.1 and Grok compete only when their frozen pregame evidence is genuinely comparable. Our November 3 audit covers four settled NFL games: no three-way ranking, and GPT-6.1's market-only baseline adds no independent forecasting edge.

Public methodologyWeekly Tuesday reportsForward-only comparisonNo retroactive picks

What has actually run

Updated November 3, 2026, 10:43 a.m. ET. Four objectively selected NFL games have settled. The frozen cohort, model execution, and final scores were checked separately.

CHALLENGER 01

GPT-6.0

Planned experimental arm. No verified GPT-6.0 forecast is recorded for this four-game cohort.

Missing forecast coverage The reviewer, gpt-6-astra / High, is not a GPT-6.0 forecast. The existing primary algorithm is v0.1.1-current-inputs; it is a separate reference.
CHALLENGER 02

GPT-6.1

gpt-6.1-sol / High recorded four market-only probability proxies before kickoff. Each exactly equals the normalized two-way bookmaker probability, with zero model adjustment.

4 market-only forecasts / 4 settled games Four wager abstentions. A pipeline baseline, not an independent predictive signal or a demonstrated edge.
CHALLENGER 03

Grok

Existing grok-shadow-v1.1 records are referenced for the selected games. This identifies the experimental algorithm version; it does not verify an underlying LLM runtime.

4 pregame references / comparability pending Only eligible, timestamped, comparable predictions count here.

November 3 verdict: insufficient evidence. All four selected NFL games have settled, but there are zero valid GPT-6.0 / GPT-6.1 / Grok shared forecasts. The Sol market-only probabilities have a four-game Brier score of 0.1362, identical to the frozen market baseline, not evidence of model edge. No wagers were recorded. Read the November 3 research report.

Comparison status

A dash means no audited comparison is available, not a zero, loss, or tie. Sample sizes and coverage will appear with every score.

ModelShared gamesGraded picksW–L–PushUnits / ROIBrier score
GPT-6.0 — NOT RUN0 / 40Not availableNot availableNot available
gpt-6.1-sol — market baseline4 / 4 recorded; 0 three-way0 wagersNot applicableNot applicable0.1362 (equals market)
grok-shadow-v1.1 — separate algorithm4 / 4 references; 0 three-way0 comparable selectionsNot comparedNot availableNot compared

The four Sol records abstained from wagering, so W–L–push, units and ROI are not applicable. Its 0.1362 Brier score is a settled market-only diagnostic, exactly equal to the same frozen market baseline—not incremental predictive skill. All four home teams won. No three-way leaderboard can be scored without a valid GPT-6.0 forecast. Four games cannot establish a durable advantage.

Tuesday research notes

Weekly research is published here with the complete coverage and limitations, including weeks when a valid three-way comparison is not available.

How the comparison works

Same slate, same clock
Games are selected prospectively, before they start. Shared-game comparisons require all models to have a valid forecast on the same game before kickoff.
Frozen source evidence
Every evaluated pick includes its game ID, market, line, book, offered price, source time, prediction time, exact model version and final outcome.
One set of grading rules
We distinguish outright predictions, spread/total selections and market-priced bets. Units and ROI require a prospectively recorded betting decision, stake convention, timely price and established settlement rule. Abstentions never become bets.
Missing data stays missing
No synthetic odds, postgame predictions, selective exclusions or retroactive edits. We disclose coverage, unresolved games and any model runs that failed verification.
Confidence matters
When probability forecasts exist, calibration and Brier score assess more than winner picking. A forecast identical to the market baseline has no incremental skill over that baseline. Different input times, books, tie handling or information sets must be disclosed before comparison.
Production stays independent
The Model Lab is a transparent research experiment. It does not change official Value Picks, production model forecasts or Grok's operating architecture.