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We Graded 5 NBA Pundits Against the Box Score. Bill Simmons Is the Only One Underwater.

Read the price, role, and market first Tout Tracker launch: shrunk empirical-Bayes lift for 5 NBA media sources over 90 days, from 1,341 matched mentions and tens of thousands of outcomes.

Reader-cited source accuracyTrailing 90-day explicit-call hit rate across 3 sources0.0%25.0%50.0%75.0%100.0%The Bill Simmons Podcast: 63.9%The Bill Simmons Podcast63.9%Thinking Basketball: 59.7%Thinking Basketball59.7%Portland Trail Blazers (Official): 55.7%Portland Trail Blazers (Official)55.7%HIT RATEsource_accuracy_scores (90-day window)
9 sections

Shark Snip Editorial

House byline of the Shark Snip analytics desk — numbers sourced from the data pipeline, not vibes.

[1] 63.9% The Bill Simmons Podcast · 47 graded calls source_accuracy_scores row 1, computed 7/30/2026
[2] 59.7% Thinking Basketball · 22 graded calls source_accuracy_scores row 123, computed 7/31/2026
[3] 55.7% Portland Trail Blazers (Official) · 20 graded calls source_accuracy_scores row 205, computed 7/29/2026
Cited source accuracy: 55.71–63.92
Graded calls n=89

A tout tracker should be a fire alarm for selective memory. Picks get clipped when they win, deleted when they lose, and retold as “process” when the record gets awkward. The cure is not a louder leaderboard. It is a ledger whose rules were fixed before anyone knew which name would land on top.

The fixed title and description on this page contain an old numerical ranking. This module does not include the query output, matched rows, or The body therefore does not repeat that ranking or grade any named pundit. It lays out the launch standard the product must meet before a public score deserves trust.

Decide what counts as a call

A source saying a player is talented is not the same as predicting a market outcome. The tracker needs a closed vocabulary for claim type: directional player forecast, explicit wager, role forecast, injury interpretation, or retrospective analysis. Neutral discussion stays neutral. Jokes, quoted guests, and questions should not become the host’s pick.

Keep the exact tape, publication timestamp, speaker, entity, direction, confidence, and forecast horizon. A human should be able to replay the excerpt and understand why the row qualified. If the row cannot survive that inspection, it should not influence a score.

The hard rule: prediction before outcome

Every graded call needs a cutoff before the result window begins. Commentary after a strong game may be sharp analysis, but it cannot be credited as foresight. When a show mixes preview and recap, split the statements rather than giving the whole episode one label.

Match the grade to the claim

An explicit spread pick belongs against a captured spread and its settlement result. A player-prop call belongs against that prop market. A role forecast belongs against role data. Broad praise does not belong against whichever fantasy score makes the source look most prescient.

For betting claims, report wins, losses, pushes, ATS-style win rate, named window, and sample size. Name the table and Do not convert a box-score correlation into units or return. Do not manufacture a price for a take that never named one.

Entity resolution is part of the grade

Transcripts miss names, confuse speakers, and flatten sarcasm. Each extracted mention should keep its source span and resolution confidence. Ambiguous names go to review or exclusion. A popular player should not win an identity tie simply because the model has seen that name more often.

Audit resolution separately by medium and source. Fast group podcasts, solo video essays, and written posts fail in different ways. A leaderboard that hides those error rates asks readers to trust the noisiest step in the pipeline.

Stop counting echoes as fresh evidence

A pundit can repeat the same view across several episodes while the same run of games unfolds. Those mentions are related, not independent. Cluster by source, player, topic, and forecast window. Preserve opinion changes as new timestamped decisions, but do not let repetition turn one thesis into a fake sample.

Uncertainty must respect those clusters. A narrow interval built from duplicated mention-game pairs is false comfort. The tracker should look less certain when the evidence is repetitive.

Use baselines that can embarrass the tracker

The obvious baseline is not random guessing. It is a boring rule built from information everyone had: recent role, consensus projection, or the market itself. A source score is interesting only when it adds something beyond those baselines on an untouched period.

A negative comparison does not automatically create a fade. Reversing a weak signal is still weak. Tail and fade labels each need their own predeclared, forward, priced evaluation.

Keep the launch window sealed

Extraction prompts, entity rules, claim labels, outcome mappings, and shrinkage choices should be fixed before the final evaluation block is opened. Every experiment belongs in a run ledger. The final block gets one honest read, not a dozen quiet retries until the ranking becomes publishable.

If the final sample is too thin, say so. An empty leaderboard with a clear reason is better than a table padded with neutral mentions, retrospective commentary, or mismatched outcomes.

Make corrections visible

Sources should be able to challenge a row. The response is not to delete an uncomfortable record in place. Publish the disputed excerpt, the applied rule, the correction decision, and the score version affected. That makes accountability run in both directions.

The same standard applies to ingestion failures. If an episode was unavailable, a transcript was incomplete, or a player could not be resolved, record the exclusion. Missing coverage can bias a ranking just as surely as a bad formula.

What the public table should show

A trustworthy source page needs a plain summary, the eligible window, sample size, It also needs drill-down rows with tape links and timestamps. The reader should be able to distinguish an explicit pick from a general opinion and a forecast from a recap without guessing.

The editorial column can still be fun. It can call out a heater, a slump, or a suspiciously selective memory. But the jokes sit on top of the ledger; they do not replace it.

The launch result here is an honest empty state

No reproducible NBA pundit leaderboard is attached to this post module. There is no source query, no matched-pair export, no forward-only betting grade, and no provenance label for the old headline. Accordingly, this page publishes no named winner, loser, tail, fade, hit rate, or return claim.

That is not a retreat from the idea. It is the product requirement. A tout tracker is valuable only when it is stricter with its own numbers than it is with the people it grades. Until the ledger is present, the sharpest launch copy is the sentence most scoreboards hate to print: no graded record yet.

Average NFL total points by recorded weather bucket

Average combined score is grouped only from completed NFL schedule rows with a recorded indoor roof state or numeric wind value.

NFL ATS cover-margin distribution

Bars count completed NFL schedule rows by closing-spread cover margin using the repository canonical home-margin grading convention.

blog.receipts source receipts_summary · prediction_results window graded receipt window Data as of 2026-10-13T05:32:00.181032+00:00 n=8303
Receiptsas_of 2026-10-13T05:32:00.181032+00:00 · all-market graded rows n=8303
ATS spread win rate46.1% · n=3942 1818-2124-146 ATS spread
CLV · secondary25.5%

Frequently asked questions

What qualifies as a graded pundit call?
A timestamped, attributable, falsifiable statement with a defined direction, target, forecast horizon, and outcome rule. Neutral talk, jokes, guest quotes, and retrospective explanation do not count as the host’s prediction.
How should explicit betting picks be reported?
Use wins, losses, pushes, ATS-style win rate, a named evaluation window, sample size, source table, and Preserve the captured market and settlement rule.
Why can repeated mentions distort a leaderboard?
Several episodes may repeat one thesis while sharing the same outcome window. Treating those rows as independent inflates the sample and understates uncertainty, so related mentions should be clustered.
Can the lowest-ranked source be treated as an automatic fade?
No. A weak or negative score does not prove that reversing the source creates value. A fade needs its own forward, priced, and graded evaluation.
Does this module publish the old named ranking?
No. The reproducible query output and matched ledger are absent, so the body and FAQ publish no named winner, loser, or performance record.
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Source accuracy 3

graded 90-day source records back the numbers cited in this article.

90-day hit rate · n = 3