These are the ranked fact tables we publish: 4 of them, rebuilt daily from our own odds archive. Each one ranks players by what happened against a real posted number rather than by a raw statistic, carries the sample size and the window on every row, and links each name to the full record behind it. Nothing here is a pick.
Ranked fact tables, rebuilt daily from our own odds archive. Information, not picks.
The lists
Every table on this site starts from the same place: a number a sportsbook actually posted, and what happened next. That is the one thing a stats site cannot give you, and it is why none of these lists is a ranking by a raw statistic.
Which MLB Pitchers Beat Their Strikeout Line Most Often
38 starters with 15 or more lined 2026 starts, ranked by how often they cleared the posted number.
70.8% top over rate as of 2026-08-16, 38 rows
MLB Batters Who Out-Hit Their Total-Bases Line
50 batters with 30 or more lined 2026 games, ranked by total bases against the number posted that night.
+0.64 top margin as of 2026-08-16, 50 rows
The Most-Propped NFL Players: Lined Games and Market Breadth
the 100 players on our NFL pages, ranked by how many 2025 games carried a posted prop and across how many markets.
20 lined games as of 2026-08-17, 100 rows
How Often an MLB Prop Price Beats Fair Value
how often a posted player prop price cleared fair value across 1 archived board capture.
0 of 14 prices at or above fair as of 2026-08-17, 3 rows
What every list on this page has in common
- A conditioned metric. Each ranking is against a posted number or against the market's own fair value, never a plain calendar trend.
- A stated minimum. Where a rate is ranked, the minimum sample is printed and applied before the sort, so the top of a table is never simply the smallest sample in it.
- The window and the count on every row. A figure without its sample size is not a fact, it is a headline.
- Openers, never closers. Our odds archive is a fixed-hour grid. We can measure the opening number honestly and make no closing-line claim.
- Links, not names. Every player in every table links to his own page, where the full game-by-game record sits.
How these are built
- Each list is produced by one committed script, lists/build_lists.py, run daily on our own server against a database session the server itself refuses writes through. The figures on a list and the figures on the linked player page come out of one computation, not two.
- A list whose input is stale is not rebuilt. Its page stays exactly as it was and the date on its card stops advancing, which is the visible signal that something upstream stopped.
- Nothing on these pages is a pick, a selection or a recommended wager. They report what already happened, with the window and the sample size attached.
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Next steps
Frequently asked questions
How often are these lists rebuilt?
Once a day, on the same server run. A list whose data source has not refreshed is skipped rather than restamped, so the date on its card is the date its numbers were actually measured.
Are these picks?
No. Nebula Insights publishes no picks, no selections and no recommended wagers. Every table here is a record of what already happened against a posted number.
Where do the numbers come from?
Our own odds archive and our own game logs, read by one committed script over a read-only database session. Each list names its sources and its method on its own page.
Related: MLB player pages · NFL player pages · Guides
Every figure on this page is a historical measurement of what already happened, produced by a committed, re-runnable script over our own odds archive. Past frequencies are not forecasts and are not betting advice: Nebula Insights publishes no picks, no selections and no recommended wagers. 18+ only.