What is Genius Sports Prediction Unite?
Genius Sports’ new prediction markets venture launched as Prediction.com, a dedicated affiliate site that pulls pricing and market data from several prediction market operators into one place and overlays it with the company’s live sports feeds. The “unite” idea is literal: instead of opening three or four prediction platforms in separate tabs to compare prices on the same event, you see like-for-like contracts side by side, moving as the game moves.
It was built by Legend, the consumer media and technology unit Genius Sports acquired last year for $1.2 billion. Genius says the aim is to fix the “fragmentation” of users hopping between platforms just to find out what a contract costs.
Three things make it different from a standard odds comparison page:
- Official in-game data on the same screen as pricing. Users can follow play-by-play action alongside dynamic market probabilities, prices and signals, rather than watching a delayed broadcast and guessing why a price jumped.
- Cross-venue comparison of equivalent contracts. The same event contract listed on different exchanges can be lined up directly.
- A proprietary cross-venue engine for multi-leg positions, so combinations of contracts, not just single markets, can be compared across venues.
The launch follows Genius Sports’ August deals with Polymarket and Kalshi, covering real-time event data, league integrity services and streaming. Sean Conroy, Genius Sports’ EVP of rights and partnerships, framed integrity as non-negotiable for the category, saying robust safeguards are “foundational” rather than optional, and that bringing together official data, live streaming, league IP, integrity services and Legend’s media reach helps Polymarket deliver a trusted experience for US sports fans.
Worth being clear on one point: this is an affiliate and information product. It aggregates and displays markets run by other operators. It does not take positions, and it does not remove the fees or spreads charged by the venues it lists.
How live data integration changes prediction market pricing
Prediction market prices are probabilities wearing a dollar sign. A contract trading at $0.40 implies roughly a 40% chance of that outcome, before fees. Feed official, low-latency match data into the venue where those contracts trade, and the probability curve stops lagging reality. That is the whole shift: from prices that react to news about the game to prices that react to the game.
Traditional vs real-time pricing models
Three pricing models now sit alongside each other, and they behave differently.
| Model | Who sets the price | Where the cost sits | Update trigger |
|---|---|---|---|
| Traditional sportsbook odds | The operator’s trading team and pricing models | Margin (overround) built into the odds | Model updates, data feed events, manual risk decisions |
| Betting exchange | Peer-to-peer order book | Commission on net winnings | Order flow from other users |
| Prediction market contract | Traders buying and selling contracts priced as probability | Trading fees and the bid/ask spread | Order flow, plus any data feed the venue integrates |
In the old in-play model, the sequence was: something happens on the pitch, the broadcast shows it a few seconds later, traders and bots react, the price moves. Every link in that chain adds delay. Official data collected at the venue compresses the first two links to near zero, which is why data providers like Genius Sports and Sportradar sell “official” feeds at a premium. Sportradar announced its own multi-year partnerships with Kalshi and Polymarket in June, so both major suppliers are now wired into the same category.
Impact on market accuracy
Faster inputs make prices more accurate in one specific sense: the market’s implied probability tracks the true state of the game more closely, more of the time. A wicket, a red card or a fourth-down conversion shows up in the price almost immediately rather than after a broadcast delay.
That squeezes the gap traders used to exploit. Latency arbitrage, where someone with a faster picture of the event trades against slower participants, depends on that gap existing. Narrow it and pricing errors get shorter-lived and smaller. It also matters for liquidity: market makers who trust the data feed will quote tighter spreads, because the risk of being picked off by someone with better information falls.
Be careful with the word “accurate”, though. Live data makes a price a better estimate of probability at that moment. It does not make the estimate correct, and it does not remove the spread and fees you pay to enter and exit. No amount of real-time data turns a negative-expectation activity into a positive one.
Why real-time sports data matters for betting
Improved odds accuracy
You can check the logic yourself with basic maths. Implied probability from decimal odds is 1 ÷ odds, so 2.50 implies 40%. On a two-way market where a fair book would price both sides at 2.00 (50% each), a sportsbook quoting 1.90 and 1.90 is implying 52.6% on each side, or 105.3% in total. That extra 5.3% is the overround, the operator’s edge.
Prediction markets replace margin with fees and spread, which is why their prices read closer to raw probability. Add official data and the probability moves in step with the event. For anyone trying to understand how an in-play market is being valued, that combination is genuinely more informative than a delayed screen and a price with an unknown margin baked in.
Enhanced user experience
The practical improvements are unglamorous and real:
- One screen instead of four tabs when comparing equivalent contracts.
- Play-by-play context next to the price, so a move has a visible cause.
- Multi-leg combinations comparable across venues rather than calculated by hand.
- Integrity and settlement handled against official data, which reduces disputes about how a market resolved.
Settlement is the underrated one. Most arguments between users and operators are about what actually happened, not about price. Mark Locke, Genius Sports’ founder and CEO, has pointed to the company’s role as a supplier of official data, settlement and integrity services to both traditional betting and prediction markets, and settlement against a single official source is simply cleaner than settlement against a scraped scoreboard.
What this means for Indian bettors
The direct answer: not much yet, and not legally. Prediction.com is aimed at US sports fans, and the venues it aggregates, Polymarket and Kalshi, operate under US regulation, where event contracts sit with the derivatives regulator rather than a gambling regulator. India’s own rules on real-money online gaming tightened significantly in 2025, and anyone in India should treat the current legal position, not last year’s, as the one that applies. Winnings from online gaming are taxable in India with tax deducted at source on net winnings; that is informational, not tax advice, and a qualified professional is the right person to ask.
Where this does matter for Indian readers is technology. Indian sports fans already consume cricket with a live data layer, ball-by-ball, win probability, projected scores, and the infrastructure behind that is the same official-data plumbing being wired into prediction markets abroad. Three trends are worth watching:
- Real-time odds and probability displays become the default in sports media, whether or not betting is attached to them.
- Official data rights become the bottleneck. Whoever holds the feed for a league shapes who can price its markets quickly.
- Integrity services travel with the data. Monitoring for suspicious market movement is now sold as part of the same package, which is a genuine positive for anyone who cares about clean sport.
If you are learning this space, the useful takeaway is conceptual: understanding how a price becomes a probability, and who takes a cut along the way, is more valuable than any product launch. Our explainers on how prediction markets work and the technology behind modern betting odds cover that groundwork.
The future of sports data in prediction markets
Expect the sports data affiliate model to spread. Genius Sports launched Prediction.com as the NFL season began, the peak commercial window for sports data in the US, and its existing partnerships with DraftKings and FanDuel show it can sit on both sides of the fence, supplying sportsbooks and prediction venues at once. Citizens gaming analyst Jordan Bender has noted that with the NFL season underway, Genius should benefit from increased spending across both traditional sports betting and the emerging prediction market industry, and that investors will be watching whether Genius can use Legend’s relationships to capture more of that opportunity.
With Sportradar signed to the same two venues, the competitive question is no longer who has data, but who packages it best: official feeds plus streaming plus league IP plus integrity plus media distribution, sold as one bundle. That favours suppliers with rights portfolios and punishes pure aggregators.
The obvious next steps are more venues joining the comparison layer, deeper micro-markets that only work with fast official data, and regulators paying closer attention to how event contracts are marketed to sports fans. What will not change is the arithmetic. Better data makes prices sharper, and sharper prices mean fewer mistakes for a bettor to find, not more.
FAQ
What is Genius Sports Prediction Unite?
It is Genius Sports’ prediction markets affiliate platform, launched as Prediction.com and built by its Legend media and technology unit. It aggregates pricing from multiple prediction market operators and overlays official live sports data so users can compare equivalent contracts and multi-leg positions in one place.
How does live data affect betting odds?
Official low-latency feeds remove the broadcast delay between an event happening and a price reacting. Odds and contract probabilities update almost immediately, mispricings last a shorter time, and market makers can quote tighter spreads because they are less likely to be traded against by someone with faster information.
Why does real-time data matter for prediction markets?
Prediction market prices are probability estimates, so they are only as good as the information behind them. Real-time official data improves the estimate, supports cleaner settlement and reduces arbitrage from information gaps. It does not eliminate fees, spreads or the risk of losing your stake.
Responsible gambling note: betting and prediction market trading carry a real risk of loss, and better data does not change that. Set deposit and loss limits, never stake money you need, use cool-off or self-exclusion tools if play stops being fun, and check the rules that apply where you live. Support services are available if gambling is causing harm.