What Provisional Markets Mean on Kalshi: The Africa Cup Example

What Just Happened: The 2025 Africa Cup Surprise

In mid-March 2025, something unexpected happened in the world of international soccer. Morocco, the host nation for the 2025 Africa Cup of Nations (AFCON), made a formal request to postpone the tournament. The event was scheduled to run from December 21, 2024 through January 18, 2025, but Morocco cited scheduling conflicts and preparation concerns.

For anyone holding positions in Kalshi's markets about which team would win AFCON 2025, this created an interesting situation. These weren't just markets about soccer outcomes anymore — they were suddenly markets about whether the tournament would happen at all, on the dates specified.

This is where the concept of provisional markets becomes important to understand.

What Makes a Market "Provisional"?

A provisional market is a prediction market that depends on an underlying event actually happening as described. Think of it as a conditional bet: "If X event occurs as specified, then what's the probability of Y outcome?"

In plain terms: You're not just betting on who wins — you're also implicitly betting that the event itself will take place as planned.

Kalshi and other prediction market platforms sometimes open markets before every detail of an event is locked down. This gives traders the opportunity to take early positions when they spot value, but it also introduces an additional layer of uncertainty.

How Provisional Markets Resolve

Here's the crucial mechanism: If the underlying event doesn't happen as specified in the market rules, the entire market typically resolves as "void" or "N/A." That means:

• All positions are closed
• Everyone gets their money back
• Nobody wins, nobody loses
• It's as if the market never existed

This is fundamentally different from the market resolving to "No" — which would mean someone who bet "No" would profit. A void resolution means the question itself became unanswerable because the premise didn't hold.

The Africa Cup Example: A Real-World Case Study

Let's walk through how this played out with AFCON 2025.

Before Morocco's postponement request, Kalshi had markets open for "Which country will win the 2025 Africa Cup of Nations?" Traders could buy contracts on Senegal, Egypt, Algeria, Morocco, and other national teams.

Let's say you bought contracts on Senegal at 22 cents (implying roughly a 22% probability). You thought Senegal's squad was undervalued and positioned accordingly.

Then came Morocco's postponement request. Suddenly, your Senegal position wasn't just dependent on Senegal's performance — it was also dependent on whether the tournament would happen during the specified December 2024-January 2025 window.

The Compound Question Problem

Your position now reflected two separate uncertainties:

1. Will AFCON 2025 happen on the specified dates?
2. If yes, will Senegal win?

This is what we call a compound question. The probability you're trading on is actually the combined probability of both things happening. If there's, say, a 30% chance the tournament gets postponed, then even if Senegal has a 22% chance of winning the tournament that does happen, your actual chance of profit is lower — roughly 70% × 22% = 15.4%.

When you trade in a provisional market, you're not just evaluating the stated outcome — you're also evaluating the probability that the market's premise remains valid.

What This Meant for Traders

Smart traders immediately had to reassess. Questions to consider included:

• How likely is the Confederation of African Football (CAF) to approve Morocco's postponement request?
• What's CAF's track record with these situations?
• Are there logistical, political, or financial pressures that make postponement more or less likely?
• If postponed, would the market void, or would there be a replacement tournament on different dates?

The market rules matter enormously here. If Kalshi's rules specified "the tournament scheduled for December 21, 2024 through January 18, 2025," then any postponement would likely trigger a void resolution. If the rules were more flexible — "the official 2025 AFCON tournament, whenever it occurs" — then postponement might not matter.

When You'll Encounter Provisional Markets

Provisional markets show up more often than you might think. Here are common scenarios:

Sports Tournaments

International competitions scheduled years in advance can face venue changes, date shifts, or format modifications. The 2022 World Cup, for instance, moved from its traditional summer dates to November-December due to Qatar's climate.

Political Events

Election dates can shift, candidates can drop out, and rules can change. A market on "Will Candidate X win the primary in State Y on Date Z?" is provisional on all those elements staying constant.

Entertainment and Awards

Award shows occasionally get postponed (as many did during the COVID-19 pandemic). Markets on Oscar winners opened before the ceremony dates were finalized carried provisional risk.

Economic Releases

Markets about whether a specific economic indicator will hit a threshold "in Q3 2025" depend on the report being released as scheduled and covering the expected time period.

How to Evaluate Provisional Markets

If you're considering trading in what might be a provisional market, here's a practical framework:

1. Read the Market Rules Carefully

Kalshi provides detailed rules for each market. Look for language about:

• Specific dates or date ranges
• "As scheduled" or "as originally planned" phrasing
• What happens if the event is postponed, canceled, or modified
• What source Kalshi will use for resolution

2. Assess Event Stability

Ask yourself: How locked-in is this event? Consider:

• Time horizon: Events further in the future have more time for circumstances to change
• Historical precedent: Has this type of event been postponed or canceled before?
• External dependencies: Does the event rely on factors outside the organizer's control (weather, international cooperation, venue availability)?
• Current news: Are there active discussions about changes?

3. Price In the Conditional Probability

If you estimate there's an X% chance the market voids, adjust your expected value accordingly. A contract trading at 30 cents with a 20% void risk has an effective price closer to 37.5 cents if you account for the scenarios where you simply get your money back.

The math: If you buy at 30 cents, 20% of the time you get 30 cents back (void), and 80% of the time you're playing the actual market. Your real exposure is in that 80% scenario.

4. Consider the Opportunity Cost

Money tied up in a market that might void is money not available for other opportunities. If you think there's a significant chance of a void resolution, you need to be confident the potential profit justifies having capital locked up.

The Broader Lesson: Understanding What You're Really Trading

The Africa Cup example illustrates something important about prediction markets generally: you need to understand exactly what question you're answering.

In traditional financial markets, you might buy Apple stock because you think it's undervalued. The question is relatively straightforward: "Will Apple's stock price go up?"

In prediction markets, especially provisional ones, the question can be more complex: "Will Apple announce a new product at their event scheduled for June 15, and if so, will the market react positively?" That's really two questions wrapped together.

The most important skill in prediction markets isn't predicting outcomes — it's correctly identifying what question you're actually being asked to predict.

Provisional Markets Aren't Bad — They're Just Different

It's tempting to see provisional markets as somehow inferior or more risky than "regular" markets. That's not quite right.

Provisional markets serve a valuable purpose: they let you take positions on future events before every detail is finalized. If you have strong conviction about an outcome and believe the event itself is likely to proceed, you might find better prices early than you would once everything is confirmed and more traders pile in.

The key is going in with eyes open. You're trading on a conditional probability, and that's fine — as long as you recognize it and factor it into your decision.

What Happened with AFCON?

For those curious about the resolution: CAF ultimately decided on the postponement request, and the tournament details were adjusted. The specific market resolution would have depended on Kalshi's exact rule language — which is why reading those rules carefully matters so much.

Traders who understood they were holding provisional positions could make informed decisions about whether to hold, sell, or wait for clarity. Those who didn't realize the provisional nature of their positions might have been surprised by how the postponement news affected their contracts.

Wrapping Up: Add This to Your Prediction Market Toolkit

Understanding provisional markets is part of becoming a more sophisticated prediction market participant. It's not about avoiding these markets — it's about recognizing them for what they are and evaluating them appropriately.

Next time you're looking at a market on Kalshi or any other platform, take a moment to ask: "Am I betting on just the outcome, or am I also betting that the event happens as described?" If it's the latter, you're in provisional territory, and you'll want to factor that into how you think about the opportunity.

The Africa Cup situation was a perfect real-world example of why this matters. Markets don't exist in a vacuum — they exist in a world where tournaments get postponed, elections get rescheduled, and circumstances change. Understanding provisional markets helps you navigate that reality with confidence.