Platform comparison
| Platform | YES odds | NO odds | Fee | KYC | Settlement | |
|---|---|---|---|---|---|---|
Polymarket (via Is Kalshi Legit) Pick polygram.ink (preferred broker) |
100% | 0% | 0% (USDC on-chain) | No-KYC up to $1,500 | USDC, auto via UMA oracle | See live odds → |
Polymarket (direct) polymarket.com |
100% | 0% | 0% | Geo-blocked in US/UK/EU | USDC, on-chain | See live odds → |
Kalshi kalshi.com |
— | — | Up to 7% per trade | US-only, KYC required | USD | See live odds → |
Betfair Exchange betfair.com |
— | — | 2-5% commission | Full KYC from first trade | GBP / EUR | See live odds → |
Manifold Markets manifold.markets |
— | — | Play-money (mana) | None — play-money | Mana (no cash-out) | See live odds → |
Outcome probabilities
Current market-implied probability for each outcome, from the live order book.
| Outcome | Probability |
|---|---|
| O/U 35.5 | 100% |
| 1Q Moneyline | 100% |
| 2Q Spread -1.5 | 100% |
| 2Q Spread -2.5 | 100% |
| 2Q Spread -3.5 | 100% |
| 2Q Spread -4.5 | 100% |
| 2Q Spread -5.5 | 100% |
| South Alabama O/U 14.5 | 100% |
| South Alabama 1H O/U 7.5 | 100% |
| South Alabama 1H O/U 9.5 | 100% |
| 1H Spread -3.5 | 100% |
| 1H Spread -2.5 | 100% |
| Tulane 1H O/U 12.5 | 100% |
| South Alabama 2H O/U 6.5 | 100% |
| South Alabama O/U 13.5 | 100% |
| South Alabama O/U 16.5 | 100% |
| 1H O/U 18.5 | 100% |
| 1H O/U 21.5 | 100% |
| 1Q Spread -1.5 | 100% |
| 1Q O/U 3.5 | 100% |
| 1Q O/U 6.5 | 100% |
| 1Q O/U 9.5 | 100% |
| 2Q Spread -0.5 | 100% |
| 2Q Spread -7.5 | 100% |
| 2Q O/U 8.5 | 100% |
| 2Q O/U 11.5 | 100% |
| 3Q O/U 4.5 | 100% |
| O/U 31.5 | 91% |
| O/U 33.5 | 91% |
| O/U 37.5 | 91% |
| 3Q O/U 7.5 | 91% |
| 3Q O/U 10.5 | 91% |
| 3Q O/U 13.5 | 91% |
| O/U 47.5 | 74% |
| O/U 50.5 | 63% |
| Spread -1.5 | 59% |
| O/U 45.5 | 59% |
| O/U 55.5 | 55% |
| O/U 41.5 | 53% |
| Spread -3.5 | 52% |
| Spread -6.5 | 52% |
| Spread -7.5 | 51% |
| O/U 49.5 | 50% |
| Spread -0.5 | 50% |
| Spread -8.5 | 50% |
| Spread -31.5 | 50% |
| Spread -34.5 | 50% |
| O/U 39.5 | 50% |
| O/U 43.5 | 50% |
| O/U 57.5 | 50% |
| O/U 61.5 | 50% |
| O/U 63.5 | 50% |
| O/U 67.5 | 50% |
| O/U 69.5 | 50% |
| 2H Moneyline | 50% |
| South Alabama O/U 2.5 | 50% |
| Tulane O/U 3.5 | 50% |
| 2H Spread -2.5 | 50% |
| 2H Spread -3.5 | 50% |
| 2H Spread -4.5 | 50% |
| 2H Spread -5.5 | 50% |
| 2H Spread -6.5 | 50% |
| 3Q Moneyline | 50% |
| 4Q Spread -0.5 | 50% |
| 4Q Spread -1.5 | 50% |
| 4Q Spread -2.5 | 50% |
| 4Q Spread -3.5 | 50% |
| 4Q Spread -4.5 | 50% |
| 4Q Moneyline | 50% |
| Tulane O/U 24.5 | 50% |
| Tulane O/U 27.5 | 50% |
| Tulane O/U 30.5 | 50% |
| Tulane O/U 33.5 | 50% |
| Tulane O/U 36.5 | 50% |
| South Alabama O/U 17.5 | 50% |
| South Alabama O/U 20.5 | 50% |
| South Alabama O/U 23.5 | 50% |
| South Alabama O/U 26.5 | 50% |
| Tulane 2H O/U 12.5 | 50% |
| Tulane 2H O/U 14.5 | 50% |
| Tulane 2H O/U 16.5 | 50% |
| South Alabama 2H O/U 7.5 | 50% |
| South Alabama 2H O/U 9.5 | 50% |
| South Alabama 2H O/U 11.5 | 50% |
| South Alabama 2H O/U 8.5 | 50% |
| South Alabama 2H O/U 10.5 | 50% |
| South Alabama O/U 19.5 | 50% |
| South Alabama O/U 22.5 | 50% |
| South Alabama O/U 25.5 | 50% |
| Johnnie Daniels: Anytime Touchdown | 50% |
| Jamauri McClure: Anytime Touchdown | 50% |
| PJ Martin: Anytime Touchdown | 50% |
| Keenan Phillips: Anytime Touchdown | 50% |
| Kadin Semonza: Anytime Touchdown | 50% |
| Bishop Davenport: Anytime Touchdown | 50% |
| Jaylin Lucas: Anytime Touchdown | 50% |
| Anthony Brown-Stephens: Anytime Touchdown | 50% |
| Zycarl Lewis Jr.: Anytime Touchdown | 50% |
| Destyn Hill: Anytime Touchdown | 50% |
| Brendan Jenkins: Anytime Touchdown | 50% |
| Maurice Turner: Anytime Touchdown | 50% |
| Anthony Eager: Anytime Touchdown | 50% |
| Trae'von Dunbar: Anytime Touchdown | 50% |
| Micah Woods: Anytime Touchdown | 50% |
| Dawson Johnson: Anytime Touchdown | 50% |
| Ty Thompson: Anytime Touchdown | 50% |
| Jeremiah Jones-Thomas: Anytime Touchdown | 50% |
| Oliver Mitchell Jr.: Anytime Touchdown | 50% |
| Rod Gibbs: Anytime Touchdown | 50% |
| Spread -0.5 | 50% |
| Spread -12.5 | 50% |
| Spread -15.5 | 50% |
| Spread -18.5 | 50% |
| Spread -26.5 | 50% |
| 2H Spread -0.5 | 50% |
| 2H Spread -7.5 | 50% |
| 2H O/U 18.5 | 50% |
| 2H O/U 21.5 | 50% |
| 2H O/U 24.5 | 50% |
| 2H O/U 27.5 | 50% |
| 2H O/U 30.5 | 50% |
| 4Q Spread -1.5 | 50% |
| 4Q Spread -5.5 | 50% |
| 4Q O/U 7.5 | 50% |
| 4Q O/U 10.5 | 50% |
| 4Q O/U 13.5 | 50% |
| 4Q O/U 16.5 | 50% |
| 4Q O/U 19.5 | 50% |
| Spread -5.5 | 49% |
| O/U 71.5 | 49% |
| Spread -30.5 | 49% |
| O/U 51.5 | 48% |
| Spread -4.5 | 48% |
| O/U 52.5 | 47% |
| O/U 65.5 | 47% |
| Spread -17.5 | 46% |
| Spread -2.5 | 45% |
| Spread -21.5 | 45% |
| Spread -24.5 | 44% |
| Spread -7.5 | 43% |
| Spread -10.5 | 41% |
| Spread -9.5 | 39% |
| O/U 53.5 | 38% |
| Spread -4.5 | 38% |
| Spread -14.5 | 34% |
| Spread -20.5 | 31% |
| Spread -27.5 | 31% |
| South Alabama vs. Tulane | 29% |
| Spread -11.5 | 26% |
| O/U 59.5 | 26% |
| Spread -10.5 | 22% |
| Spread -3.5 | 20% |
| Spread -23.5 | 12% |
| 3Q Spread -0.5 | 10% |
| 3Q Spread -1.5 | 10% |
| 3Q Spread -2.5 | 10% |
| 3Q Spread -3.5 | 10% |
| 3Q Spread -4.5 | 10% |
| 3Q Spread -1.5 | 10% |
| 3Q Spread -5.5 | 10% |
| 3Q O/U 16.5 | 10% |
| Spread -16.5 | 9% |
| Spread -6.5 | 8% |
| Spread -13.5 | 7% |
| 1H Spread -4.5 | 0% |
| 1H Spread -5.5 | 0% |
| 1H Spread -6.5 | 0% |
| 1H Spread -7.5 | 0% |
| 1H Spread -8.5 | 0% |
| 1H Moneyline | 0% |
| 1Q Spread -0.5 | 0% |
| 1Q Spread -1.5 | 0% |
| 1Q Spread -2.5 | 0% |
| 1Q Spread -3.5 | 0% |
| 1Q Spread -4.5 | 0% |
| 2Q Moneyline | 0% |
| South Alabama 1H O/U 11.5 | 0% |
| Tulane 1H O/U 14.5 | 0% |
| Tulane 1H O/U 16.5 | 0% |
| 1H Spread -9.5 | 0% |
| 1H O/U 24.5 | 0% |
| 1H O/U 27.5 | 0% |
| 1H O/U 30.5 | 0% |
| 1Q Spread -5.5 | 0% |
| 1Q O/U 12.5 | 0% |
| 1Q O/U 15.5 | 0% |
| 2Q O/U 14.5 | 0% |
| 2Q O/U 17.5 | 0% |
| 2Q O/U 20.5 | 0% |
Market context
Market consensus: 100% chance of south alabama vs. tulane. Prediction markets aggregate real capital to produce this probability signal. In the upcoming college football game between South Alabama and Tulane, scheduled for September 12 at 7:00PM ET: This market will resolve to "South Alabama" if South Alabama win th…
Live Data & Statistics
Live stats load when the match begins. Current market odds are shown above. Trading volume: $179K.
Methodology
This overview of South Alabama vs. Tulane reviews the four comparable platforms from a regulatory perspective: which is accessible in your jurisdiction, where KYC kicks in, how the platform is classified by your country of residence. Live probability is the Polymarket mid; comparison columns show regulatory status, KYC thresholds and settlement options for each platform.
Resolution & payout
On Polymarket, resolution runs on-chain via UMA Optimistic Oracle. USDC payout is instant and automatic, with no KYC. Tax treatment depends on your jurisdiction — in the US, gains are usually ordinary income; in the UK, often capital gains. Consult a tax professional for your situation.
FAQ
- Do I need to KYC for Is Kalshi Legit?
- Not for lifetime trading volume under $1,500. Above that threshold, a quick KYC flow kicks in — ID, selfie, approximately 5-10 minutes. The threshold matches FATF travel standards for unregulated crypto platforms.
- How are winnings taxed?
- Tax treatment varies by jurisdiction. In most countries, prediction market gains are treated as ordinary income or capital gains. We cannot provide tax advice — consult a tax professional for your specific situation.
- Can I trade anonymously?
- Pseudonymously, yes — up to the KYC threshold. Is Kalshi Legit stores an email address and wallet addresses rather than a legal name. Over $1,500 lifetime volume triggers KYC, after which identity is no longer anonymous.
- What happens during a tax audit?
- You're responsible for documenting your trades. Is Kalshi Legit exports a full transaction history (CSV/PDF) for tax reporting. In an audit you'll need to present these documents.
- Are prediction markets gambling?
- Legally unclear in most jurisdictions. Some interpretations classify them as wagering (gambling regulation applies), others as derivatives (financial regulation applies). There's no global precedent specifically for on-chain prediction markets.
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