$1.2 million in alleged Polymarket profits has put a Google employee at the center of a federal fraud case over whether private Search data was used to beat public prediction markets.
Federal prosecutors charged Michele Spagnuolo with commodities fraud, wire fraud, and money laundering after he allegedly wagered on Google Search-related trends for 2025 using confidential internal information, according to The Verge. The now-unsealed complaint says Spagnuolo knew the answers before other traders did because he had accessed “Google’s confidential, commercially valuable internal data.”
“Unlike the counterparties to his trades, Spagnuolo knew the outcome of these wagers before the trading public did because he had accessed Google’s confidential, commercially valuable internal data,” authorities alleged in the complaint, according to CNN.
Spagnuolo was arrested in New York on Wednesday and released on a $2.25 million bond, ABC News reported via The Verge. The complaint is an allegation, not a conviction.
Google Search data sits at the center of the fraud charge
Prosecutors say Spagnuolo used internal Google information to place bets tied to “Year in Search 2025” results. The available reporting does not establish the exact public methodology for those rankings, which matters for how the case is understood.
The complaint’s theory is that Spagnuolo had access to internal data before the relevant outcomes were public. In one cited example, prosecutors say he correctly bet that singer D4vd would “be the #1 searched person on Google” in 2025, even though Polymarket had assigned that outcome a “near-zero probability.”
He also allegedly placed large “no” wagers tied to whether Pope Leo XIV and Donald Trump would be the most searched person, according to CNN.
Analysis: The alleged edge here was not a better model or sharper public-data read. Prosecutors are framing it as access to the answer key — confidential corporate material that could determine the outcome of event-based contracts before the market had the same information.
For more context on the case’s market structure, see MLXIO’s coverage of A $1.2M Polymarket Bet Puts Google Secrets on Trial and $1.2M Polymarket Win Lands Google Engineer in Court.
AlphaRacoon account draws attention after Search wagers hit
Spagnuolo allegedly placed bets under the Polymarket username AlphaRacoon, according to The Verge. CNN identified the account as AlphaRaccoon, reflecting a spelling difference across reports.
The wagers had already attracted attention before the complaint was unsealed. The Verge reported that the account’s successful Search-related bets drew notice from outlets including Forbes and from social media users last December.
A few details from the complaint show why the trades stood out:
- D4vd bet: Prosecutors say Spagnuolo correctly wagered that D4vd would rank as the top searched person on Google in 2025.
- Other “most searched person” bets: CNN reported large “no” positions involving Pope Leo XIV and Donald Trump.
- Profit claim: Prosecutors allege the trading generated about $1.2 million.
CNN reported further details from the complaint: Spagnuolo allegedly placed a $381.12 “yes” bet that d4vd would rank among the most searched people of the year and a $5 bet that d4vd would be the number one searched person on Google, with an implied probability of “slightly higher than 0%.” CNN also reported that he allegedly bet $613,000 “no” on Pope Leo being the most searched person and just over $500,000 that Donald Trump would not be the most searched person.
Polymarket responded on X by calling itself “the enforcement leader” and saying its “market integrity infrastructure” flagged Spagnuolo’s activity.
“Blockchain trading is transparent, traceable, and bad actors leave footprints,” Polymarket wrote, according to The Verge.
That statement does not resolve the harder question for prediction markets: whether transparency after the fact is enough when the alleged informational advantage exists before a market settles.
Google says employee accessed marketing material through an internal tool
Google told The Verge that Spagnuolo had been placed on leave and that the company is cooperating with law enforcement.
“We’re working with law enforcement on their investigation,” Google spokesperson Jaclyn Vazquez said in a statement to The Verge. “The employee accessed our marketing material using a tool available to all employees, but using such confidential information to place bets is a serious breach of our policies. We’ve placed the employee on leave and will take the appropriate action.”
That statement narrows one part of the case. Google is not saying the alleged access required a breach of a restricted engineering system. It says the material was available through a tool open to all employees.
Analysis: That makes the corporate-risk angle sharper. If ordinary internal tools contain data that can settle prediction-market contracts, employers may need policies that go beyond blocking external leaks. The issue becomes whether employees can privately monetize internal visibility before public release.
The case also follows another federal Polymarket-related charge. Last month, prosecutors charged US Army soldier Gannon Ken Van Dyke with fraud for allegedly making a $400,000 Polymarket bet tied to the capture of Venezuelan President Nicolás Maduro, according to The Verge. CNN reported that Van Dyke has pleaded not guilty.
Prediction markets face a nonpublic-information test
The charges land as prediction-market platforms such as Polymarket and Kalshi face closer scrutiny over insider trading risks. This case may give federal authorities a concrete example to test how fraud theories apply when corporate data meets event contracts.
| Issue | Why it matters in this case |
|---|---|
| Corporate data access | Prosecutors allege Google internal material gave Spagnuolo advance knowledge of contract outcomes. |
| Prediction-market integrity | Polymarket says its systems flagged the activity, but the complaint focuses on alleged misuse before the public knew. |
| Employee policy | Google says using confidential information to place bets violated company policy. |
| Federal enforcement | Charges include commodities fraud, wire fraud, and money laundering, signaling a broad prosecutorial theory. |
The next filings will matter. Watch for whether prosecutors seek forfeiture of alleged proceeds, how they connect the Polymarket account to Spagnuolo, and what defense arguments emerge around the type of Google material accessed.
The practical takeaway is already visible: companies that hold outcome-determining data may have to treat prediction-market betting as a compliance issue, not a hobby. If prosecutors can prove this case, internal dashboards and marketing materials could become the next frontier in insider-trading enforcement.
Disclaimer: This MLXIO analysis is for informational and educational purposes only. It is not financial, investment, legal, tax, or professional advice. It does not provide buy, sell, hold, price-target, portfolio, or personalized recommendations. Verify information independently and consult qualified professionals before making decisions.
Impact Analysis
- The case tests how insider-information rules may apply to prediction markets tied to public data outcomes.
- It highlights the risks companies face when employees can access commercially valuable internal data before the public.
- A conviction could set an important precedent for fraud enforcement in crypto-adjacent betting markets.
