About this app
What is Turning Totems?
Across the market, operators delivered high double-digit gains compared with Labor Day weekend, which featured a full slate of college football games but no NFL contests. Two operators, DraftKings and Underdog each saw triple-digit growth, delivering weekly increases of 125% and 119%, respectively. Three others, Polymarket, Crypto.com and Novig, saw gains of at least 30%, led by Polymarket with a weekly increase of 46%.
One interesting nugget surrounds weekend figures at Kalshi, where volume on Sunday only surpassed prior daily activity by $34 million, BofA data shows. Typically, Sunday volume for the quarter dwarfs that of College Football Saturdays due to the voracious demand for NFL offerings. BofA analyst Shaun Kelley attributes the irregularity to the possibility that Kalshi is “over indexing” on college sports.
Kelley also cited improvements at Robinhood as a possible factor for the regression at Kalshi. Just before the NFL season, Robinhood took a minority stake in Crypto.com and struck a deal to begin routing NFL contracts to OG.com, the site’s regulated prediction market platform.
About Turning Totems
FATF’s warning on illegal and offshore gambling will resonate in Denmark. Last year, Spillemyndigheden secured a court order to block 178 unlicensed gambling sites, the largest such action in the regulator’s history.
The case highlighted how illegal operators disguise their presence through multiple site variations, a tactic the FATF report also flags as a red flag indicator.
Denmark’s approach reflects a wider pattern that FATF has tracked for years through its own grey and black listing system. Under this system, jurisdictions with weak AML/CTF controls face increased monitoring or reputational sanction.
How to play Turning Totems
After play, some looked to banks or regulatory bodies for oversight on total spend across platforms.
Within this shared model, there was a clear preference for personalised interventions over generic ones.
Tailored, behaviour-triggered messages were seen as more effective than generic warnings, but many participants simultaneously expressed mistrust towards operators collecting behavioural data.
