Historical analysis archive

Read the unit before the rate.

This archive separates raw graded analysis rows from entries retained under the current public API collapse rules. It includes repeated snapshots and legacy retrospective data, so it is not a uniquely published forward-test or ROI record.

By Scott Olmer, Founder · Reviewed July 13, 2026

Past performance does not guarantee future results. Pushes are tracked separately from wins and losses.

Raw rows by sport.

These sport totals count raw historical analysis rows. Repeated books, lines, snapshots, runs, and retrospective records may be represented.

MLB
67.4%

MLB

3,025,405 raw rows2,038,778W / 986,536L
NHL
62.3%

NHL

68,054 raw rows42,429W / 25,625L
NBA
58.9%

NBA

43,295 raw rows25,488W / 17,807L
MLS
85.0%

MLS

20,827 raw rows17,703W / 3,124L
EPL
83.0%

EPL

12,113 raw rows10,053W / 2,060L
NFL
52.4%

NFL

10,769 raw rows5,645W / 5,120L

Confidence ranges

Signal strength, reconciled.

Confidence is directional: a strong UNDER and a strong OVER are both high-confidence model signals. These descriptive ranges reconcile to the raw historical database, not the collapsed ledger.

High Confidence

75+
88.9%

212K raw rows · 89.1% UNDER · 62.7% OVER

Medium Confidence

65-74
78.3%

943K raw rows · 78.7% UNDER · 62.3% OVER

Slight Confidence

55-64
63.2%

1.35M raw rows · 64.9% UNDER · 56.2% OVER

Recent ledger sample.

A sample of rows retained after the current API collapse rules, including line, signal score, actual result, and book. This feed does not prove pre-event publication.

Sample from 413,708 entries under the current public-ledger collapse rules Historical archive · not ROI
Date Sport Player Market Line Conf Actual Result Book
2026-09-15 nfl Bo Nix Pass Yds UNDER 74.5 60.4% 176.0 LOSS Prizepicks
2026-09-15 nfl Bo Nix Rush Yds UNDER 19.5 60.4% 18.0 WIN Prizepicks
2026-09-15 nfl Bo Nix Interceptions UNDER 0.5 60.4% 2.0 LOSS Prizepicks
2026-09-15 nfl Bo Nix Pass Completions UNDER 21.0 60.4% 25.0 LOSS Prizepicks
2026-09-15 nfl Bo Nix Pass Tds UNDER 0.5 60.4% 0.0 WIN Prizepicks
2026-09-15 nfl J.K. Dobbins Rec Yds UNDER 63.5 59.8% 5.0 WIN Prizepicks
2026-09-15 nfl J.K. Dobbins Rush Yds UNDER 29.5 59.8% 63.0 LOSS Prizepicks
2026-09-15 nfl J.K. Dobbins Receptions UNDER 1.5 59.8% 2.0 LOSS Prizepicks
2026-09-15 nfl Jaylen Waddle Rec Yds UNDER 24.5 59.5% 30.0 LOSS Prizepicks
2026-09-15 nfl Jaylen Waddle Receptions UNDER 3.5 59.5% 4.0 LOSS Prizepicks

How grading works

The grading rule is simple; the archive needs context.

Rows are graded after games finish by comparing the stored side and line with the final stat. Pushes remain separate. Publication time, model version, evaluation mode, and consistent price data are not available on every historical row.

01

Analysis row stored

The historical feed exposes player, market, line, direction, signal score, sport, game date, and book. It does not establish pre-event publication for every row.

02

Outcome graded

Final stat values are compared to the line. Overs win above the line, unders win below the line, and exact ties are pushes.

03

Record updated

Wins, losses, pushes, totals, and sport splits refresh from the public results API.

Limitations and definitions

What you should know before quoting this archive.

The historical database and collapsed ledger are research records. Neither is a clean cohort of uniquely published recommendations. See how grading works and the editorial and corrections policy.

01

Two different units

The summary and confidence endpoints count raw graded analysis rows. The public ledger applies a collapse key and therefore reports a smaller total.

02

Historical data is mixed

Repeated snapshots and legacy retrospective analysis are included. The current feed does not label every row as forward-tested or backtested.

03

No ROI claim

Price and payout are not consistently present, so the descriptive outcome rate cannot support a defensible profit or return-on-investment claim.

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How are Propeller Picks results graded?

Results are graded against final box score values after games complete. Pushes are tracked separately from wins and losses.

Does the historical archive guarantee future results?

No. The archive includes repeated analysis snapshots and legacy retrospective data. It is research context, not a forward-tested ROI record, and past performance does not guarantee future results.