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Freedom251 › Blog › election forecasting

How to Use Prediction Markets to Estimate the Odds of an Election Outcome

By Freedom251 Team · · 10 min read

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To estimate an election outcome from a prediction market, treat the price of a correctly defined binary contract as an approximate, time-stamped probability. A Yes contract trading at 65 cents implies about a 65% market-implied chance of the event occurring, assuming it pays $1 if Yes and $0 if No. That number is not a poll result, a guarantee, or a direct measurement of voter intent. Before quoting it, verify the contract’s exact question, settlement rules, observation time, liquidity and recent trading.

The same election can have separate contracts for the popular vote, electoral vote, state winners, party control or another milestone. Their prices are estimates of different events. The method below shows how to read the number without overstating what it says.

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How do prediction markets estimate election odds?

Participants buy and sell contracts whose cash settlement depends on a defined event. In a binary contract, a Yes position pays $1 if the stated event occurs and $0 if it does not. A market price of $0.65 therefore has a natural probability interpretation: approximately 0.65, or 65%, for that event at the moment of the quote.

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This interpretation is an approximation. A trader may pay a different amount because of the bid-ask spread, fees, limited order-book depth or a rapidly changing market. The price is also conditional on the contract’s wording and resolution process. It is not a statement that 65% of voters support a candidate.

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Kalshi describes its own market this way: “Kalshi is not a poll, nor is it an oddsmaker.” That distinction is useful for any platform. A market aggregates transactions by participants who risk money or other consideration under specified rules; a poll asks respondents about preferences or intended votes.

Start with the exact event, not the candidate name

Read the complete market question and settlement rules before converting a price into odds. Similar headlines can refer to different outcomes.

Commonly different election contracts

  • Popular vote: which candidate receives the most votes nationwide.
  • Electoral vote: which candidate wins the electoral college under the contract’s stated definition.
  • State or district result: who wins a particular jurisdiction.
  • Party control: whether a party controls an office or chamber after the election.
  • Process or timing event: whether a nomination, certification or other specified event occurs by a deadline.

Record the contract title, its resolution source, the relevant geography, the election stage and the time at which you observed the quote. A price is meaningful only for the event that will actually determine settlement.

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Settlement details that can change the meaning

  • What official result or data source resolves the contract?
  • Does “wins” mean the plurality winner, a certified result, or another definition?
  • How are recounts, runoffs, withdrawals, ties and unresolved results handled?
  • What deadline controls the outcome, and when is payment made?
  • Does the contract cover the general election, a primary, a runoff or an earlier stage?

Rules can change by market and over time. Check the current official rule page before citing a live number or deciding whether a contract matches the event you intend to discuss.

What does a 65% chance on a prediction market mean?

For a binary $1/$0 contract, the basic conversion is:

implied probability ≈ Yes price in dollars × 100

Thus, a Yes quote of $0.65 implies approximately 65%. A quote of $0.20 implies approximately 20%, and $0.90 implies approximately 90%. The word “approximately” matters because the executable price may differ from the displayed midpoint and because fees and market frictions affect what a participant can buy or sell.

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When the displayed side is No

If the market shows a No contract at $0.35 and the contract is strictly binary with complementary $1/$0 payoffs, that No price implies about a 35% chance of No, equivalent to about a 65% chance of Yes. Confirm that the platform’s display is actually showing the No side and not a last trade, midpoint or another derived figure.

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Multi-outcome markets require outcome-by-outcome reading

A market with several candidates or outcomes may display a separate price for each outcome. Treat each price as the approximate probability of that specific outcome, not as the probability of “the election” in general. Prices may not add to exactly 100% because of spreads, fees, incomplete trading and the way the platform quotes contracts. Identify the outcome and quote time whenever you report one.

Use the tradeable price, not false precision

A screen showing 65.0% does not establish a measurement accurate to a tenth of a percentage point. If the best available offers are 63 cents to buy and 67 cents to sell, the midpoint may be a convenient summary, but a reader who must trade immediately cannot necessarily obtain it. Report the displayed convention and, when material, the bid, ask or spread.

A six-step method for estimating an election outcome

  1. Copy the full contract question. Include the event, geography, election stage and settlement deadline in your notes.
  2. Read the resolution rules. Identify the official source, treatment of recounts or ties, and the date or condition that ends uncertainty.
  3. Capture the quote and timestamp. Prices move as information and orders change. State the time zone and whether the figure is a last trade, midpoint, bid, ask or platform probability display.
  4. Convert the price consistently. For a $1/$0 binary contract, convert cents to percentage points. For a No or multi-outcome quote, name the side or outcome explicitly.
  5. Inspect market quality. Look at volume, order-book depth, liquidity indicators and recent transactions. Note low-volume labels or other warnings shown by the platform.
  6. Compare only equivalent contracts and qualify the result. If you use polls or another forecast, explain that it measures something different. Present the market number as a time-sensitive estimate, not a certainty.

Why volume, liquidity and recent trades matter

Price alone does not tell you how much trading supports the estimate. Volume records how much has changed hands; liquidity and depth indicate how much can be traded near the displayed price; recent transactions show whether the quote reflects current activity or an old print. A market with sparse orders can move sharply when one participant trades.

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Kalshi provides low-volume labels and feeds that show individual trades as context for visitors. Those indicators do not prove that a market is right, but they help you disclose how robust the quoted number may be.

Evidence on participation and calibration

Kalshi Research reported results from 2,243,741 resolved markets across eleven categories from the platform’s 2021 launch through mid-2026. In that platform-published study, aggregate calibration improved as markets approached resolution and as volume and the number of participants increased. The result covers many categories, not just elections, and it cannot establish that any particular election contract is correctly priced.

An independent Israel Democracy Institute analysis of the Polymarket markets it examined found that in 94% of those markets, one bet of less than $1,000 could move the displayed price by an amount equivalent to ten percentage points. In hundreds of cases, the new price persisted for at least a day or longer. This is a finding about that examined sample, not a universal property of every platform or market. It is a reason to check depth and recent trades before treating a movement as new information about voters.

Concentrated trading can create misleading signals

A sudden jump may reflect a single order, a trader managing a position, or a thin order book rather than a broad change in beliefs. Do not describe a price movement by itself as proof that the electorate changed, that a rumor is true or that a candidate’s support shifted. Look for sustained activity, independent information and comparable contracts before drawing that conclusion.

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How to compare two election markets fairly

Two prices can be compared only after you establish that they are forecasts of the same event at comparable times. Use this checklist:

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Comparison axis What to verify Why it matters
Contract definition Event, geography, election stage and resolution source Different settlement rules can produce different legitimate prices.
Observation time Date, time zone and whether the figures are simultaneous Markets can move materially between observations.
Displayed side or outcome Yes, No or a named candidate/outcome; last trade, bid, ask or midpoint A number without its side can be interpreted backwards.
Price and implied probability Convert the same way and retain the original quote Consistent units prevent false differences.
Liquidity and activity Volume, depth, spreads, low-volume labels and recent trades A thin quote may move with a small order.
Resolution and access Current rules, fees, eligibility and applicable law Availability and obligations can vary by jurisdiction and change over time.

Related markets can move differently over short intervals even when they appear to ask similar questions. Before calling one platform more optimistic or pessimistic, make sure the contracts are genuinely equivalent.

Are prediction-market odds the same as polls?

No. A poll reports answers from a sampled group of respondents, usually about candidate preference, approval or intended vote. A prediction market reports the prices at which participants trade contracts tied to a specified event. A poll might say how respondents currently intend to vote; a market price estimates the chance that a defined outcome will occur and settle under stated rules.

Feature Poll Prediction-market contract
What is measured Respondents’ answers at the time of interviewing Trading prices for a defined settlement event
Typical output Candidate share, favorability or preference Approximate probability of Yes, No or a named outcome
Timing Field dates and publication date Continuous price at a quoted time
Main uncertainty Sampling, weighting, nonresponse and turnout assumptions Liquidity, participant composition, rules, fees and price movements
Best use Describe reported preferences or attitudes Describe a market-implied chance of the contract’s event

Use both as distinct evidence rather than blending a poll percentage into a market probability. Explain the measurement difference whenever they appear in the same article or briefing.

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How much confidence should you place in a market estimate?

Historical performance can inform expectations about calibration, but it is not a guarantee for a future election. Kalshi Research (2026) reported a Brier score of approximately 0.08–0.09 at a three-month horizon and roughly 0.02 near close, with naive accuracy of 88.3% at three months and 97.2% at close. The figures cover Kalshi resolved markets excluding Exotics across categories; they are not election-only accuracy rates and are published by the platform itself.

An OSF-hosted preprint in its 2026 version examined nearly 2,200 political markets and more than $3.2 billion in platform-reported volume during the final nine weeks of the 2024 U.S. presidential campaign. It reported that 86% of actively traded markets performed better than a coin flip while emphasizing sample composition and warning that aggregate performance does not guarantee an individual contract’s accuracy.

These findings support a measured conclusion: market aggregation can be informative, especially near resolution and in active markets, but the quality of one contract still depends on its definition, participants, information environment and liquidity.

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How to write or cite an election-market probability responsibly

A useful sentence contains four pieces: the event, the probability, the timestamp and the qualification.

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  • Event: “the contract asking whether Candidate A wins the electoral vote.”
  • Probability: “was priced at 65 cents, implying approximately 65%.”
  • Timestamp: “at 14:00 UTC on the stated date.”
  • Qualification: “The market was active enough to quote, but its rules and depth should be checked before treating the number as a forecast.”

Avoid writing “Candidate A has a 65% chance” without naming the contract and time. The shorter sentence sounds like a permanent prediction and can hide that the market concerns a different event, such as the popular vote rather than the electoral vote.

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Common mistakes and how to fix them

Confusing a market price with voter support

Mistake: Treating 65% as 65% of voters supporting a candidate.

Fix: Call it a market-implied probability of the contract’s settlement event and contrast it with poll results when relevant.

Ignoring the contract’s resolution rule

Mistake: Comparing a popular-vote contract with an electoral-vote contract as though they were identical.

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Fix: Quote the full question, geography, election stage and official resolution source.

Reporting a stale or undated number

Mistake: Presenting a price as if it applies throughout the campaign.

Fix: Include the observation date, time zone and quote type, and update it when the market moves.

Assuming every displayed price is readily tradeable

Mistake: Treating a screen price as a guaranteed execution price.

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Fix: Check the bid-ask spread, depth, fees and recent trades; disclose low volume or thin activity.

Over-reading a one-trade move

Mistake: Calling a sharp change proof that public opinion changed.

Fix: Check whether the move persisted, whether multiple participants traded and whether independent information supports it.

Assuming historical calibration guarantees this election

Mistake: Using an aggregate accuracy statistic as a promise about one contract.

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Fix: State the study’s platform, period, category coverage and limitations, then evaluate the current market on its own terms.

Access, fees and legal conditions

Platform access, eligibility, fees and legal conditions are time- and location-dependent. The evidence summarized here does not establish current platform-specific fees or whether a particular person can trade in a particular jurisdiction. Check the official rules and applicable current law before directing readers to transact. Legal information about event contracts is general background, not a state-by-state access determination.

For readers who only want to monitor odds, viewing a quote and trading a contract may have different requirements. Do not infer access, account eligibility or settlement rights from a publicly visible price.

A compact checklist for your next election-odds estimate

  • Write down the exact event and settlement deadline.
  • Confirm the resolution source and treatment of ties, recounts and unresolved results.
  • Record the displayed side or outcome, price and timestamp.
  • Convert a binary $1/$0 Yes price in cents to an approximate percentage.
  • Check whether the quote is a bid, ask, midpoint, last trade or derived display.
  • Inspect volume, depth, spreads, low-volume warnings and recent transactions.
  • Compare only contracts with matching definitions and aligned observation times.
  • Keep market-implied odds separate from poll percentages.
  • Describe uncertainty and avoid presenting the estimate as a guarantee.
  • Verify current rules, fees, eligibility and applicable law before any transaction.

Used this way, a prediction market is a live estimate tied to a particular rule set, not a crystal ball. The most defensible answer to “What are the election odds?” always includes which event, which contract, which price and when.

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