Game 2 Bounce-Back Effect

Game 1 margin greater than 12.5 points

The bigger the Game 1 blowout, the bigger the market overreaction on the Game 2 spread. AI watches the opening number Tuesday and Wednesday morning for any line that drifts more than 1.5 points from the season-long matchup baseline.

Losing team holds starters plus rotation intact

A bounce-back requires a healthy bounce-back. If the Game 1 loser had a key injury, the historical edge collapses because the roster itself changed. NuroPicks cross-checks the injury report before flagging Game 2 spread value.

Coach adjustment signal from Game 1 film

Losing coaches routinely change rotations, defensive assignments, and pace targets between Game 1 and Game 2. The model weighs coach tendency data (public rotation logs + net-rating deltas) to separate real adjustments from one-off fluke results. Exact adjustment frequencies vary by coach and series; the signal is qualitative not a fixed percentage.

Venue swap or home-court reactivation

Game 2 at home after a Game 1 road loss stacks two angles: the bounce-back effect plus home-court value (roughly 2-3 points in the playoffs per public NBA research). Combined edge on the spread depends on how the market has already adjusted; CLV targets are series-specific and checked at post time.

Series price drifts too far after Game 1

Series futures often double in implied cost after a Game 1 result. If the historical base rate still favors the underdog side of the series, the model flags both the Game 2 spread AND the series price as dual-entry angles.

First four series Game 2

Any Game 1 decided by 12.5 plus points gets flagged through /picks and the live embed. Spread first, series price second.

Middle slate Game 2

Second day of the Game 2 window. Highest-priced mispricings usually live on the 22.5 plus margin bucket where public piles on the winner.

Back end Game 2

Final Game 2s of Round 1. Late bounce-back window often has the best CLV because books have used the weekend to calibrate.