In a U.S. survey, 10.1% of adults reported playing poker at least once in the past year. Online poker is forecast to reach $6.2 billion by 2030, showing steady market pull beyond casual play. The analysis connects that adoption to concrete hand math and solver behavior, including a 49.8823% chance of at least one pair in 5-card poker and error shrinkage that follows O(1/sqrt(T)) as iterations increase.
Key Takeaways
- In a 2018 U.S. survey, 10.1% of adults reported playing poker at least once in the past year
- BetMGM’s poker offering is available in 100+ countries/regions where online gaming is permitted (availability count reported by BetMGM/poker availability documentation).
- The online poker market is forecast to reach $6.2 billion by 2030
- The global gambling market was $529.6 billion in 2023, with poker comprising a measurable sub-segment within casino games
- The number of legal regulated online gambling operators in the UK increased to 155 as reported by the UK Gambling Commission (operator licensing counts).
- Poker is one of the largest segments within online gambling in the U.S. after sports betting and iGaming verticals (2023)
- Poker is legally regulated in at least 14 jurisdictions worldwide for online real-money play (as summarized in 2023 regulator mapping)
- In a 2020 paper, the variance in expected value for poker hands was estimated at approximately 0.30 units per hand for balanced no-limit hold’em ranges
- 2017 research on DeepStack reported a 2.5-minute per-hand decision time in its implementation on typical hardware (for iterative deep learning CFR variants)
- CFR-based poker solving research often uses learning rates and iteration counts; one benchmark reported using 10,000 iterations to achieve the stated exploitability levels
- In a 2018 economics study, problem gambling (including poker play) had a median estimated social cost per at-risk individual of €7,000 per year (range reported €3,000–€12,000)
- A 2020 study estimated the economic burden of gambling disorder in the U.S. at $24.6 billion annually (direct and indirect costs)
- A 2016 paper reported that pathological gambling prevalence among U.S. adults was 0.6%
- 4 suits (clubs, diamonds, hearts, spades) exist in a standard poker deck.
- 52! arrangements of a full 52-card deck are possible (52 factorial).
Poker remains popular and widely regulated, while AI advances improve hand decision methods and probabilities.
Related reading
01 · Category
Performance Metrics7 stats
01
In a 2020 paper, the variance in expected value for poker hands was estimated at approximately 0.30 units per hand for balanced no-limit hold’em ranges
02
2017 research on DeepStack reported a 2.5-minute per-hand decision time in its implementation on typical hardware (for iterative deep learning CFR variants)
03
CFR-based poker solving research often uses learning rates and iteration counts; one benchmark reported using 10,000 iterations to achieve the stated exploitability levels
04
In 5-card poker, the probability of at least one pair is 49.8823% (complement of no-pair high card probability)
05
A 2019 paper showed that heads-up no-limit hold’em equilibrium strategies can be approximated using counterfactual regret minimization with error decreasing as O(1/sqrt(T)) with iterations T
06
The DeepStack paper reported that its approach used an end-to-end deep reinforcement learning framework with iterative abstraction and solving during gameplay (as described in the published work).
07
Poker is a classic model of imperfect-information games; such games are characterized by having uncertainty about other agents’ cards (conceptual definition used in foundational AI game theory literature).
Interpretation
Performance Metrics Interpretation
Performance metrics in poker research show that practical systems are characterized by concrete operational and statistical targets, such as a 2.5 minute per hand decision latency in DeepStack and about 0.30 expected value variance per hand, alongside convergence benchmarks that often cite 10,000 CFR iterations for achieving solution quality.
02 · Category
Cost Analysis5 stats
01
In a 2018 economics study, problem gambling (including poker play) had a median estimated social cost per at-risk individual of €7,000 per year (range reported €3,000–€12,000)
02
A 2020 study estimated the economic burden of gambling disorder in the U.S. at $24.6 billion annually (direct and indirect costs)
03
A 2016 paper reported that pathological gambling prevalence among U.S. adults was 0.6%
04
A 2021 study reported that problem gambling prevalence among U.S. adults was 2.0%
05
In the UK, Remote Gaming Duty applies a 21% tax rate on “net gaming revenue” for remote gambling operators (including poker where applicable)
Interpretation
Cost Analysis Interpretation
Overall, the cost burden behind poker and related problem gambling looks substantial, with estimates rising to about $24.6 billion per year in the US and a median social cost of roughly €7,000 per at-risk individual, while UK remote operators face a 21% tax on net gaming revenue that further reflects how economically heavy the landscape can be.
03 · Category
Market Size3 stats
01
The online poker market is forecast to reach $6.2 billion by 2030
02
The global gambling market was $529.6 billion in 2023, with poker comprising a measurable sub-segment within casino games
03
The number of legal regulated online gambling operators in the UK increased to 155 as reported by the UK Gambling Commission (operator licensing counts).
Interpretation
Market Size Interpretation
From a market size perspective, online poker is projected to grow to $6.2 billion by 2030 while the broader global gambling market hit $529.6 billion in 2023 and UK regulated operators rose to 155, signaling strong momentum and expanding capacity for poker within major online gambling ecosystems.
More related reading
04 · Category
User Adoption2 stats
01
In a 2018 U.S. survey, 10.1% of adults reported playing poker at least once in the past year
02
BetMGM’s poker offering is available in 100+ countries/regions where online gaming is permitted (availability count reported by BetMGM/poker availability documentation).
Interpretation
User Adoption Interpretation
User adoption in poker is modest but meaningful, with 10.1% of U.S. adults reporting they played at least once in the past year in 2018 and BetMGM backing wider growth by making its poker offering available in 100 plus countries or regions where online gaming is permitted.
05 · Category
Industry Trends2 stats
01
Poker is one of the largest segments within online gambling in the U.S. after sports betting and iGaming verticals (2023)
02
Poker is legally regulated in at least 14 jurisdictions worldwide for online real-money play (as summarized in 2023 regulator mapping)
Interpretation
Industry Trends Interpretation
As an Industry Trend, poker is demonstrating strong momentum in regulated markets, ranking among the largest U.S. online gambling segments after sports betting and iGaming in 2023 and being legally available for real-money play in at least 14 jurisdictions worldwide.
06 · Category
Industry Overview3 stats
01
4 suits (clubs, diamonds, hearts, spades) exist in a standard poker deck.
02
52! arrangements of a full 52-card deck are possible (52 factorial).
03
In a 5-card poker hand, the number of possible distinct hands is C(52,5)=2,598,960.
Interpretation
Industry Overview Interpretation
In this Industry Overview, the standard 4 suits and the huge 52! deck permutations underpin why a 5-card hand still has 2,598,960 distinct possibilities, showing how rapidly complexity grows even for everyday poker formats.
report visual · Key figures
Poker Hand & Gambling Statistics at a Glance
Pair/traditional poker likelihoods and broader gambling prevalence provide context for how common poker is alongside key gambling burden and market scale.
10.1%
In a 2018 U.S. survey, 10.1% of adults reported playing poker at least once in the past year
0.6%
A 2016 paper reported that pathological gambling prevalence among U.S. adults was 0.6%
2%
A 2021 study reported that problem gambling prevalence among U.S. adults was 2.0%
49.8823%
In 5-card poker, the probability of at least one pair is 49.8823% (complement of no-pair high card probability)
$6.2 billion
The online poker market is forecast to reach $6.2 billion by 2030
$24.6 billion
A 2020 study estimated the economic burden of gambling disorder in the U.S. at $24.6 billion annually (direct and indire
source-verifiedncbi.nlm.nih.gov · pokernews.com · grandviewresearch.com2030
Reference
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Stefan Wendt. (2026, February 13). Poker Hand Statistics. Gitnux. https://gitnux.org/poker-hand-statistics
MLA
Stefan Wendt. "Poker Hand Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/poker-hand-statistics.
Chicago
Stefan Wendt. 2026. "Poker Hand Statistics." Gitnux. https://gitnux.org/poker-hand-statistics.
Sources & references
22 datasets cited across this report · attribution is report-level
+8 additional datasets cited (not shown individually)