New Baccarat Research from UNLV Conference Quantifies Luck Through Bet Patterns

Zoe Meier · Jul 31, 2026

New Baccarat Research from UNLV Conference Quantifies Luck Through Bet Patterns

Researchers presenting baccarat probability data at a gaming conference

Researchers presented findings from a study titled “Quantifying luck: Determining the probability of baccarat wins given player bet mix” at UNLV’s International Conference on Gambling and Risk Taking, and the work draws on data collected from smart tables equipped with RFID technology to examine outcomes across thousands of hands. The presentation highlighted how detailed bet tracking reveals patterns that operators can apply in marketing, surveillance, and regulatory contexts while underscoring baccarat’s central role in high-roller segments across Macau and Las Vegas.

Tracking Outcomes with RFID-Enabled Tables

Smart tables now record every wager in real time, and this capability allowed the research team to analyze bet mixes that include banker, player, and tie wagers along with various side bets. Data from these systems shows how specific combinations of main bets and side bets shift the probability distribution of wins, losses, and pushes across extended sessions. Observers note that the granularity of RFID records makes it possible to isolate the contribution of chance from recurring player tendencies without relying on manual observation alone.

The study examined sessions from both Las Vegas and Macau properties, where baccarat generates the majority of table-game revenue in the high-limit areas. Figures from Macau authorities indicate that baccarat consistently accounts for more than 80 percent of gross gaming revenue at many integrated resorts, and similar patterns appear on the Las Vegas Strip during peak periods. Researchers used these large datasets to model how luck manifests when players alternate between conservative banker bets and higher-variance side-bet combinations.

Quantifying Luck and Identifying Patterns

One key element of the research involves separating measurable skill or strategy effects from pure chance components, and the team developed metrics that assign a luck score to each player’s results given their observed bet mix. By comparing actual outcomes against expected values derived from known baccarat probabilities, the model highlights sessions where results deviate significantly from mathematical expectations. Such deviations can signal either exceptional short-term variance or, in some cases, patterns that warrant closer review by surveillance teams.

Baccarat table with RFID sensors capturing bet data during live play

Side bets received particular attention because they introduce additional volatility into player results, and the study quantified how frequent side-bet participation alters the overall distribution of wins and losses. Data indicates that players who place side bets at higher rates experience wider swings in session outcomes even when their core banker or player bets remain consistent. These findings provide operators with clearer benchmarks for evaluating individual play sessions against historical norms.

Applications for Operators and Regulators

Marketing departments can use the probability models to design promotions that align with typical bet patterns observed in different player segments, while surveillance teams gain reference points for identifying unusual activity that falls outside expected variance ranges. Regulatory bodies receive additional tools for assessing game integrity because the RFID data creates an auditable trail of every wager and outcome. The research team noted that these applications become especially relevant in jurisdictions where baccarat volume continues to grow and where oversight requirements emphasize data-driven compliance.

Conference attendees heard that the same datasets support refinements in player loyalty programs, because operators can now correlate bet-mix profiles with visit frequency and average wager size. This correlation helps properties tailor incentives without altering the underlying mathematical structure of the game. The presentation also addressed how aggregated anonymized data can inform responsible-gaming measures by identifying play patterns associated with extended sessions or rapid bet escalation.

Baccarat’s Position in Major Markets

Baccarat remains the dominant table game for premium players in both Macau and Las Vegas, and the study situates its probability findings within this broader market context. In Macau the game’s revenue share has stayed above 80 percent in recent years according to official statistics, while Las Vegas properties report that high-limit baccarat rooms often generate a disproportionate share of table-game win during holiday and convention periods. The RFID-enabled research adds a new layer of insight into how these high-volume environments produce measurable outcome distributions that operators and regulators can monitor more precisely.

Conclusion

The UNLV conference presentation demonstrates how RFID data transforms baccarat analysis from aggregate revenue reports into session-level probability models, and the resulting framework offers concrete uses across marketing, surveillance, and regulatory functions. As more properties adopt smart-table technology, researchers expect additional studies to expand on the luck-quantification methods introduced in this work, particularly in markets where baccarat continues to drive premium play.