The biggest prediction-market wins on record offer a useful window into how the largest paying trades are actually structured. The leaderboard below ranks the largest paper-PnL gains across the population of whale- sized trades Rivo has tracked on Polymarket and Kalshi. Each entry on the list is calculated under a consistent methodology, described in detail later in this article, so the rankings can be compared like for like across platforms and categories. For the full ranked list, see the all-time wins page; the top entries are shown below.
- 1Will United States win on 2026-06-12?Polymarket·culture·stake $920K·@ 46¢+$1.1M
- 2Will IR Iran win on 2026-06-15?Polymarket·politics·stake $790.8K·@ 49¢+$823.1K
- 3Will Spain win on 2026-06-15?Polymarket·culture·stake $78.6K·@ 9¢+$794.4K
- 4Will Spain win on 2026-06-15?Polymarket·culture·stake $47.4K·@ 9¢+$479.4K
- 5UFC 328: Sean Strickland vs. Khamzat Chimaev (Middleweight, Main Card)Polymarket·sports·stake $103.6K·@ 19¢+$441.8K
- 6Will Canada win on 2026-06-18?Polymarket·culture·stake $1.3M·@ 76¢+$420.1K
- 7Spread: Spain (-2.5)Polymarket·culture·stake $345K·@ 46¢+$405K
- 8Spurs vs. ThunderPolymarket·sports·stake $198K·@ 33¢+$402K
- 9Roland Garros ATP: Jakub Mensik vs Andrey RublevPolymarket·sports·stake $370.0K·@ 48¢+$400.8K
- 10Knicks vs. SpursPolymarket·sports·stake $218.8K·@ 36¢+$389.1K
Patterns at the top of the leaderboard
The largest paying trades cluster around a small set of structural features. Three patterns repeat across the list with enough consistency to be treated as rules rather than coincidences.
The first pattern is the contested entry price. The majority of the top trades were entered at prices below 0.30 on contracts that eventually resolved YES, or above 0.70 on contracts that resolved NO. The common element is that the broader market priced the underlying probability differently from the whale's view, and the whale was paid for taking the side that the market did not want. A trader who only takes positions near coinflip prices cannot produce leaderboard-scale outcomes regardless of how often their calls are correct, because the per-trade payout on a coinflip contract is bounded by the price symmetry.
The second pattern is categorical concentration. The list is dominated by political and crypto contracts, with a smaller contribution from macro contracts on Kalshi and a notable absence of sports contracts. The structural reason is that political and crypto markets can sustain extreme prices over months of holding period, while sports prices are pinned tightly by the modeling work that professional bettors apply across venues. The categorical breakdown is discussed in more detail in our win-rate by category article.
The third pattern is wallet repetition. A relatively small number of wallets account for a disproportionate share of the leaderboard. The same identifiers appear across the top of the list with enough frequency to rule out variance as the explanation. The repetition is the strongest single piece of evidence in the dataset that whale outperformance is driven by skill rather than luck.
Methodology: how the rankings are calculated
Each whale-sized trade in the Rivo dataset is recorded with its entry price, contract identifier, side, timestamp, and size. When the underlying market resolves, the trade is scored as a paper PnL outcome under the following methodology.
For an opening buy at price P with size S on the winning side, the paper PnL is calculated as S multiplied by the difference between $1.00 and P, divided by P. The denominator converts the dollar notional into a contract count; the numerator computes the per-contract payout. An opening buy on the losing side produces a paper PnL equal to the negative of S, reflecting the full loss of the entry cost.
The methodology has two important properties. First, it does not account for any interim exits the whale may have taken. A position that was opened at $0.10 and closed at $0.50 produces a different realized outcome than the paper PnL calculation suggests; the paper PnL figure represents the most favorable interpretation of the entry, which is consistent across trades and traders but not necessarily reflective of any individual whale's realized result. Second, it does not include fees or spread on either side of the trade. Realized PnL for any individual whale will be lower after fees, with the magnitude depending on the platform and the trader's specific fee schedule.
Both properties are intentional. The paper PnL figure is the answer to the question of what would have happened if a copy-trader had taken the same position at the same price and held to resolution, which is the question most relevant to copy-traders evaluating whether a wallet's signal is worth following. A more complicated methodology that attempted to reconstruct each whale's actual realized PnL would produce narrower confidence intervals but at the cost of introducing assumptions that the trade tape does not directly support.
What the leaderboard cannot show
The leaderboard is a survivorship-biased sample of the trades that paid. Reading it in isolation, without the corresponding population of losing trades, produces an overoptimistic view of how often whale activity works. The Rivo dataset includes the equivalent losses leaderboard, published as biggest losses of all time, which provides the corrective view. Copy-traders should read both lists before forming a view on the overall distribution of whale outcomes.
The leaderboard also cannot show the trades that produced moderate outcomes. The bulk of profitable whale activity occurs in the middle of the distribution, with paper PnL outcomes in the four- and five-figure range. These trades are individually invisible against the leaderboard entries but constitute the bulk of the aggregate PnL contribution across the dataset. A copy-trader who optimizes for replicating leaderboard outcomes will run a portfolio substantially different from one optimized for producing aggregate positive returns.
How copy-traders should use the list
The most productive use of the wins leaderboard is as a structural reference rather than as a list of trades to copy. The trades shown have already resolved; they are not future opportunities. What the list provides is a clear view of which categories produce leaderboard-scale outcomes, which entry prices are most associated with large payouts, and which wallets recur across the top of the list. The structural information is the input to a forward- looking copy-trading strategy; the specific trades are not.
For the forward-looking framework, see our copy-trading guide, which sets out the wallet evaluation, entry pricing, and sizing rules that translate the structural lessons of the leaderboard into a usable strategy.
Frequently asked questions
How often does the leaderboard update?
The leaderboard updates each time a tracked market resolves. New entries appear when a recently-resolved market produces a paper PnL outcome larger than the existing entries on the list. The cadence of leaderboard changes depends on the resolution schedule of the underlying markets, which is heavier in election years and around major sporting and macro events.
Are the figures gross or net of fees?
Gross. The paper PnL methodology does not subtract fees, spread, or any execution cost from the calculated outcome. Realized PnL for any individual whale will be lower; the magnitude depends on the platform and the whale's specific fee schedule.
Why are sports trades absent from the top of the list?
Sports prediction-market contracts are priced tightly by professional bettors working from well-developed models. The prices do not sit at extreme levels long enough for a whale to accumulate the large positions required to produce leaderboard-scale paper PnL. The category produces high population-level win rates with modest payouts rather than occasional large payouts.
What is the largest single whale trade on record?
The largest documented single-position whale gain in the Rivo dataset exceeded $80 million across a small cluster of correlated political contracts during the 2024 U.S. election cycle. The same wallet produced multiple related eight-figure trades on adjacent contracts during the same period.
Can the leaderboard rankings be replicated by copy-trading?
Approximately, but not perfectly. A copy-trader who had taken the same position at the same entry price and held to resolution would have produced the same paper PnL outcome shown on the leaderboard, gross of fees. The realized outcome would have been modestly lower after fees and any execution slippage at entry. The replicability is one of the reasons paper PnL is the appropriate metric for ranking trades.