Betting on the "Impossible": How the Ultra-Low Odds Strategy Generates Millions
Reading time: ~10 minutes
Target audience: Arbitrage traders tired of classic bookmaker surebets who want to master the new, tech-driven prediction market space. No fluff – just math, strategies, and real-world examples.
Main goal: To demonstrate how to profit on prediction markets (like Polymarket) using ultra-low odds and arbitrage discrepancy strategies. Explain the fundamental difference from classic bookmaker arbitrage and assess the real risks.
Disclaimer for skeptics: This is neither magic nor a guaranteed income. If you believe you can buy a lottery ticket for pennies and become a millionaire – close this tab. For the rest – welcome to a world where math and algorithms drive profits.
The New Reality: Betting on the Impossible
Example: A trader places $10,000 on Ghana to win the FIFA World Cup. The odds are 0.2%. If a miracle happens, the payout would be nearly $600,000. Sounds insane. Yet a trader with the handle "gloriafoster" on the Polymarket platform is doing exactly that.
Why? The answer lies not in believing in miracles, but in the math and structure of prediction markets. Unlike classic bookmakers, where you bet against the house, on platforms like Polymarket or Kalshi, you trade against other market participants. It's not a "bet" – it's a "trade" of shares in an event's outcome. And in this world, entirely different rules apply.
The Golden Rule of Prediction Markets: The price of a share reflects the market's implied probability of an event. If a "Yes" share costs 10 cents, the market estimates a 10% probability. The "No" share for the same event will cost 90 cents.
$0.10 ≈ ✅ Yes (10%)
$0.90 ≈ ❌ No (90%)
"Yes" + "No" = 1 (or 100%)
This equation is the key to the ultra-low odds strategy.
Strategy 1: Buying the "Impossible" and Reselling
The simplest version of the strategy works like this:
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Find an event with extremely low probability – e.g., an underdog win with odds of 0.1–0.4% (share price 1–4 cents).
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Buy this share for pennies.
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Wait for the probability to increase as the event unfolds – for example, the underdog scores a goal or advances to the next round.
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Sell the share at a higher price, locking in profit. Winning the event itself is not required.
This is exactly how gloriafoster operates. Since November 2024, this trader has earned about $30,000 by consistently buying unlikely outcomes and reselling them as odds rose. Notable positions:
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**$9,600** on DR Congo to win (odds 0.1%) – potential payout ~$960,000.
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**$12,000** on Ghana to win (odds 0.2%) – potential payout ~$600,000.
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**$9,900** on Paraguay to win (odds 0.4%) – potential payout ~$250,000.
This isn't a lottery – it's trading based on information asymmetry and shifting market sentiment.
Strategy 2: Mathematical Arbitrage – When the Market is Wrong
A more complex, yet safer strategy is hunting for mathematical inconsistencies, or arbitrage. While classic bookmaker arbitrage looks for odds differences across different bookies, here you look for errors in the very equation "Yes + No = 1."
Type 1: Intra-Market Arbitrage
Sometimes, the sum of "Yes" and "No" prices for the same event exceeds 100%. This happens due to short-term supply and demand fluctuations. In this case, you can:
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Sell both sides (take a short position).
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Collect more than 100% from the market (e.g., 105 cents on the dollar).
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When the event settles, the winner receives exactly 100 cents.
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Profit – the difference minus fees.
This is called "low-risk arbitrage"*. Research shows such opportunities appear regularly. Bots that track them earned about $40 million on Polymarket between April 2024 and April 2025.
*Remember, risk is always present. Force majeure events haven't been canceled.
Type 2: Inter-Market Arbitrage
An even more sophisticated strategy is finding logical inconsistencies between related markets.
Example:
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Market A: "Trump wins the presidency" – price 55 cents.
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Market B: "Trump wins the popular vote" – price 60 cents.
Logic dictates that you cannot win the popular vote without winning the presidency. The probability of Event B cannot be higher than Event A. Yet the market thinks otherwise.
What to do:
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Buy Event A (presidency) at 55 cents.
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Sell Event B (popular vote) at 60 cents.
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Profit – 5 cents per dollar.
Why does this work? Because most market participants don't hunt for these arbitrage opportunities, and many trade manually, reacting emotionally to news.
Market-Making and Automation
The most profitable players on Polymarket aren't those who guess outcomes correctly. They are the ones who create the market structure itself.
Who are Market Makers?
These are bots that simultaneously place buy and sell orders for the same share. For example:
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Buy "Yes" at 49 cents.
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Sell "Yes" at 51 cents.
The difference between the buy and sell price (the spread) is their profit.
Analysis of the top 40 Polymarket addresses showed that in the "Cryptocurrencies" category, the top 5 traders are almost entirely market makers. One of them, 0x8dxd, conducted 94% of their trades as symmetrical buy and sell orders. Their strategy generated profit even without accurately predicting market direction. For automating such strategies, ready-made tools exist, such as the market-maker bot poly-maker, which manages two-sided quotes based on fair value and inventory skew.
Who Makes Millions?
The most successful trader in Polymarket's sports section is kch123. Their profit reached $10.35 million. But the key point: they executed 14,303 trades – all buys, not a single sale. They held positions to the very end, waiting for settlement.
Their strategy is simple: if you have an informational edge, just buy and wait. However, analysis shows their strategy started to falter: in the last 30 days before the analysis, they lost $479,000. This proves that even bots and algorithms offer no eternal guarantee.
Comparison with Classic Bookmaker Arbitrage
| Feature | Classic Arbitrage (Bookmakers) | Arbitrage on Polymarket |
|---|---|---|
| Counterparty | Bookmaker | Other traders (P2P) |
| Essence | Odds differences between bookmakers | Market errors in the probability equation |
| Regulation | Strict, licensed | Legal "gray" status, CFTC disputes jurisdiction |
| Risks | Account limitation, account blocking | Counterparty risk, oracle errors, legal uncertainty |
| Tools | Manual search, scanner software | Bots, APIs, market-making |
| Profitability | 1-5% of turnover | Up to 5% on arbitrage; thousands of percent if "hitting" the right event |
Risks: Where are the Pitfalls?
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Legal Status. In the US and some other countries, prediction markets operate in a legal gray area. Gaming giants and leagues (NFL, NBA, MLB) lobby for their prohibition, calling them a "loophole in the law."
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Oracle Errors. The event outcome is determined not by the market but by a third-party data source (the oracle). If the data is incorrect, all bets are voided.
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Liquidity. For unlikely outcomes, liquidity can be zero. You bought a share for 1 cent, but there's no one to sell it to, even if probability increases.
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Technical Risks. Bots can malfunction, and APIs can go offline.
Season Checklist
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Learn the Mechanics. Understand the difference between "Yes" and "No", and the equation "Yes + No = 1".
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Start Small. Use paper trading mode (
--paper) in bots to avoid losing real money. -
Seek Inefficiency. Market errors are profit. Pay attention to micro-arbitrage, where trade amounts are 0.1–1 cent.
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Use APIs. Manually, you can't keep up with bots.
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Remember the Risks. Don't invest your last dime. Study the laws of your country.
Technology doesn't kill arbitrage. It makes it more complex. And, consequently – more profitable for those willing to delve into the details. While others play the guessing game, knowledge of the exact places to seek profit remains the key advantage.

