TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 31, 10:16 AM EST
Kalshi
A professional basketball game between two teams will be analyzed based on the scoring output of each team's reserve players during the full contest.
On Kalshi, the Head-to-Head Bench Points: San Antonio vs Oklahoma City market is priced as a binary contract reflecting the probability of each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy YES contracts if they believe San Antonio will outscore Oklahoma City in bench points, or NO contracts if they expect the opposite. The contract price—ranging from $0 to $1—directly represents the implied probability. As new information emerges, such as injury reports or lineup announcements, traders adjust their positions, moving the price up or down. Kalshi's order book shows all active bids and asks, allowing you to execute at your preferred price or set limit orders.
The Head-to-Head Bench Points: San Antonio vs Oklahoma City market resolves on May 31, 2026. Resolution is determined by the official final bench points totals recorded for each team in their head-to-head matchup. The outcome hinges on which team accumulates more combined points from players who come off the bench during the game. Official NBA statistics are used to settle the market, ensuring accuracy and fairness. Once the game concludes and final stats are confirmed, the market will resolve to YES or NO based on the bench points comparison.
Several catalysts could shift odds for the San Antonio vs Oklahoma City bench points market. Key player injuries or unexpected roster moves—especially to bench contributors—can significantly alter expected bench output. Coaching changes or announced lineup adjustments will influence how many minutes bench players receive. Recent team form, particularly bench unit performance in prior games, often signals momentum. Trade deadline activity or rest decisions by either team's coaching staff could reduce or increase bench playing time. Game-day announcements about starting lineups or player availability will trigger final price adjustments immediately before tipoff.