ONE PLAYER. A CLOSER LOOK.

Find your player's line.

Points, assists, rebounds. Start with a name, explore our season projection, and see what the market is asking.

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What's behind our line?

Assumptions and why we sometimes pass

These are full-league season simulations using our possession engine. Historical injury/illness absences are sampled and each affected rotation is rebuilt. Totals use simulated games played. The schedule contains provisional Cup matchups. Incomplete historical records can understate absences; this is not a current medical or return-date forecast.

The displayed 10th–90th percentile range describes simulated season outcomes, not the range of individual games and not real-world confidence. The comparison also stresses production up and down by 10%. That stress is a research rule, not fitted uncertainty.

We do not turn historical player value or a simulated average into an award probability. Without a matching period, stat, player identity, settlement rule and usable quote, the result is Pass. These models have not established a validated player-prop betting edge.

Projection data and input hashes · Historical player-value archive · Validation evidence