TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 30, 11:17 PM EST
Kalshi
A professional basketball game between two teams scheduled for May 30, 2026, where the outcome depends on whether the game extends beyond regulation into overtime.
Prediction market odds on Kalshi often diverge from traditional sportsbook lines because they reflect real-time trader sentiment rather than bookmaker spreads designed to balance liability. Sportsbooks adjust odds to manage risk and profit margins, while prediction markets aggregate the beliefs of many participants trading freely. For the San Antonio at Oklahoma City overtime event, comparing Kalshi implied probability to major sportsbook overtime odds can reveal whether the market is pricing overtime as more or less likely than the betting public consensus.
On Kalshi, the San Antonio at Oklahoma City overtime event is priced as a binary contract reflecting the probability that the game reaches overtime. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy YES shares if they believe overtime is likely or NO shares if they expect the game to finish in regulation. The contract price moves between 0 and 100 cents, with each cent representing a 1% implied probability. Volume and bid-ask spreads on Kalshi indicate market liquidity; tighter spreads suggest higher confidence in the pricing.
The San Antonio at Oklahoma City overtime market resolves on May 31, 2026. Resolution is determined by whether the game between these teams extends into overtime play or concludes within regulation time. The outcome is settled based on the official final result recorded by the NBA or relevant league authority. Traders should monitor game schedules and any postponements or rescheduling that might affect the resolution timeline.
Key catalysts for the San Antonio at Oklahoma City overtime market include roster changes, injury reports to star players, recent team performance trends, and head-to-head matchup history. Close games between evenly matched teams typically see higher overtime probability pricing. Betting line movement from sportsbooks, team rest days, and back-to-back game schedules can also shift market expectations. Real-time game flow during the matchup itself—such as score tightness in the final quarter—will drive the most dramatic price swings as traders reassess overtime likelihood.