Omaha Brings AI Tell Analysis to ESPN’s WSOP Coverage

Omaha Productions, which is helping produce ESPN’s 2026 Main Event coverage, has enlisted an AI model developed by independent engineer Luke Geel. The software analyzes recorded poker footage and compares behavioral signals with game data and previous hand outcomes.

AI Moves from Training Rooms to Television

Posture, facial movement, and blink rate are among the inputs. Then it searches for repeated patterns that may not be noticed by the casual observer. The model cannot confirm that a player is bluffing. It looks for correlations that may indicate a bluff or a strong hand, but its output does not prove what a player is holding.

Omaha plans to use the feature cautiously, focusing on players after they have been eliminated. This reduces the chance that the analysis could become relevant to active tournament play.

ESPN Return Gives Poker a Wider Stage

Coverage of the $10,000 No-Limit Hold’em Main Event ran on ESPN+ from July 2 through July 13. The final table will air live on ESPN2 on August 3 and on ESPN on August 4 and 5.

This deal sees the WSOP return to ESPN for the first time since 2021. As part of the deal, Omaha Productions is combining player-focused storytelling with deeper analysis of the action. The feature fits this strategy by giving commentators another way to explain tension at the table.

Poker telecasts already show hole cards to spectators. The innovation gives commentators another way to examine what happens before a hand is revealed.

Tool Raises Questions beyond Poker

Geel took around six months to develop the system, and he has also been approached by players who want to analyze their opponents or identify weaknesses in their playing style.

This kind of application comes with its own risk factors. Broadcast use is limited to players who have already been eliminated, while private analysis of future opponents could become part of the technology race in professional poker. Poker professionals already use solvers and hand databases for preparation, while bots and real-time assistance remain a concern in online play.

The current model is restricted by camera quality and data collection. Future iterations might analyze players’ heart rate, facial flushing, or other involuntary reactions. Other vision systems could also be applied in sports that are sensitive to minute actions, such as penalty kicks.

The first broadcasts will show whether the tool can add useful context without overstating what body language can reveal. Its value will depend on restraint. A possible tell may make good television, but it remains an interpretation rather than proof.