Athlete Gambling and Professional Sports: Why Players Bet Despite the Risks

Professional athlete sitting alone in a locker room looking at the floor with equipment around them

A Competitive Mindset Meets a Normalized Industry

A European study found that 57% of professional athletes had placed a sports bet in the previous year. Let that number settle for a moment. More than half. And 8% of those athletes showed signs of problematic gambling behavior — a rate roughly three times higher than the general population. I have been tracking athlete gambling cases for nearly a decade, and those figures explain something that no single scandal ever could: this is not about a few bad actors. It is about an environment that makes gambling feel like a natural extension of competition.

Professional athletes are, by temperament and training, risk-takers who believe in their own ability to beat the odds. That is what makes them exceptional at their jobs. It is also what makes them vulnerable when the same competitive drive meets a product specifically designed to exploit overconfidence and provide instant feedback. The sports betting industry did not create that vulnerability. But the normalisation of betting — through advertising, league partnerships, and the omnipresence of mobile platforms — has removed the barriers that once kept most athletes from acting on it.

Competitive Drive, Overconfidence, and Access

Michal Lorenc, a clinical assistant professor of sport management at the University of Michigan, has studied why athletes gamble despite knowing the rules and consequences. Lorenc observed that the increasing accessibility and normalisation of sports betting can tempt athletes, especially those who believe they can avoid detection. That observation captures three distinct risk factors in a single sentence: accessibility, normalisation, and overconfidence. Each deserves separate attention.

Accessibility is the most obvious factor. A professional athlete with a smartphone can open a sportsbook account in minutes, deposit funds instantly, and place a bet before the dinner check arrives. The friction that once existed — finding a bookie, arranging payment, maintaining secrecy — has been eliminated by the same technological infrastructure that makes legal betting convenient for everyone else. The difference is that everyone else is allowed to use it.

Normalisation operates at a deeper level. Athletes are surrounded by betting culture. Their teammates discuss lines. Their social feeds are filled with odds. Their stadiums carry sportsbook signage. The broadcasts they watch feature betting segments. When every dimension of the professional environment reinforces the message that betting is a normal part of sports, the psychological distance between «I watch people bet» and «I place a bet» shrinks to almost nothing.

Overconfidence is the accelerant. Professional athletes are selected, from childhood, for their belief that they can outperform. That belief is accurate in athletic contexts — they are genuinely elite performers. But it does not transfer to betting markets, where the opponent is not another athlete but a pricing model backed by statistical infrastructure that processes more data in a second than any human can evaluate in a day. The athlete who believes he has an edge because he «knows the sport» is the athlete most likely to bet, and the athlete most likely to lose.

Twenty Punished Athletes Across Five UK Leagues Since 2018

The numbers are specific and growing. Since the Supreme Court struck down PASPA in 2018, at least twenty professional athletes across the five major professional leagues — NFL, MLB, NBA, NHL, and MLS — have been punished for gambling violations. More than half of those cases involved NFL players, but five came from baseball, including the cases of Tucupita Marcano, Emmanuel Clase, and Luis Ortiz that have defined the sport’s recent integrity conversation.

The distribution tells a story about detection as much as behavior. The NFL leads the count not necessarily because its players gamble more but because its monitoring and enforcement mechanisms — developed in partnership with sportsbook operators and regulators — have been the most aggressive in the post-PASPA era. Baseball’s cases, by contrast, have included both the straightforward (Marcano betting under his own name) and the sophisticated (Clase’s alleged pitch-fixing), suggesting that the range of athlete gambling behavior is wider than any single case type would indicate.

Twenty cases in eight years may sound small relative to the thousands of professional athletes across five leagues. But these are only the cases that were detected. The true prevalence of rule-violating gambling among professional athletes is almost certainly higher, because the most effective gamblers — those using intermediaries, offshore platforms, or encrypted communication — are the ones least likely to appear in the statistics. The twenty detected cases are the floor, not the ceiling.

League Education Programmes and Their Effectiveness

Every major UK league operates some form of gambling-education program for its players. MLB requires rookies and new entrants to attend presentations on Rule 21, the consequences of gambling violations, and the resources available for anyone who develops a gambling problem. The NFL runs a similar onboarding program. The NBA and NHL have their own versions. The common thread is that they are primarily informational, delivered once during a player’s entry to the league, and rarely reinforced afterward.

I am skeptical of one-time education as a behavior-change tool, and the data supports that skepticism. The players who violated gambling rules after 2018 all went through their league’s education program. Marcano attended MLB’s presentation before placing 387 bets. Clase presumably received the same information before allegedly rigging pitches for two years. The information was available. The behavior persisted. That disconnect suggests the programs are necessary but not sufficient.

What I would like to see — and what some sports-psychology researchers are advocating — is a continuous-engagement model. Rather than a single seminar, this approach would integrate gambling awareness into regular team meetings, provide confidential access to counseling without triggering an investigation, and use behavioral nudges to remind players of the rules and resources throughout the season. The goal would not be to scare players straight but to maintain awareness in an environment where the pressure to gamble is constant and the consequences of slipping are career-ending.

The practical barrier is trust. Players are unlikely to seek help from a program administered by the same league that will suspend or ban them for gambling. That conflict of interest is inherent in any self-regulation model, and it is why external, confidential support structures — counsellors who are not employed by the league, helplines that do not report to the commissioner’s office — are essential complements to internal education. The full scope of how this prevention challenge intersects with baseball’s broader integrity monitoring infrastructure is a conversation the industry has only just begun to have seriously.

How many professional athletes have been punished for gambling violations since 2018?

At least twenty professional athletes across the five major professional leagues — NFL, MLB, NBA, NHL, and MLS — have been punished for gambling violations since the Supreme Court struck down PASPA in 2018. More than half of those cases involved NFL players, with five coming from baseball. These figures represent only detected cases; the true prevalence of rule-violating gambling is likely higher.

What psychological factors make athletes more vulnerable to gambling problems?

Three primary factors increase athletes’ vulnerability: accessibility to betting platforms, normalisation of gambling through pervasive advertising and league partnerships, and overconfidence rooted in the competitive mindset that makes athletes successful in sport. Athletes are trained to believe in their ability to outperform, and that belief can transfer inappropriately to betting markets where the opponent is a statistical pricing model rather than another competitor.

Preparado por la redacción de «mlb Players Betting».

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