OBLIGE PROPS
PLAYER PROP RESEARCH

Research the prop, not just the player.

Oblige Props puts the exact market line beside the player’s verified historical results and the currently available book or pick’em offers. The goal is a faster, more inspectable research workflow—not a promise that a trend will repeat.

Exact line first

Start with the player, market, side and posted number. A hit rate only means something when it is measured against the line you are actually evaluating.

Verified history

Review recent windows such as L5, L10, L15, L20, season and head-to-head only when completed historical results support them. Missing data stays unavailable instead of being guessed.

Compare the market

See available lines across connected sources so you can tell whether the number you are researching is better, worse or simply different from the rest of the market.

What a useful prop research workflow checks

A good workflow separates recent form from opportunity, matchup and price. Oblige Props is designed to keep those pieces together: the active line, the side, recent verified results, season context, head-to-head context when available, and the connected source offering the market.

Hit rates are evidence, not predictions

A 4-for-5 recent window describes what happened in that sample. It does not guarantee the next result. Oblige Props keeps sample sizes and unavailable states visible so a short streak is not presented as certainty.

Why line shopping matters

Two books can post the same player market at different numbers or prices. Comparing those offers can change the question you are researching. The research workspace keeps the line itself central rather than treating every version of a prop as interchangeable.

Open the live research workspaceCreate a free beta account to view the current prop board and deeper player research.
Open Oblige Props

Player prop research FAQ

Does Oblige Props place bets?

No. Oblige Props is a research product. It does not accept wagers or hold betting funds.

Are hit rates predictions?

No. Hit rates describe verified historical samples against a selected line. Past results do not guarantee future outcomes.

What does N/A mean?

N/A means a verified sample is not available for that field. Missing research is not converted into a zero or an invented statistic.