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Oklahoma City at San Antonio: Steals
kalshi

Oklahoma City at San Antonio: Steals

Volume:
$29,773

Victor Wembanyama: 2+

 - Kalshi

Victor Wembanyama: 2+ - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved May 29, 2026

Closed: May 29, 12:00 AM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Victor Wembanyama: 2+

View
100%
Yes 100¢No 0¢
100¢
N/A
$3,074
N/A
N/A
$2,936
Settled
Yes
kalshi

Luguentz Dort: 1+

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,931
N/A
N/A
$1,788
Settled
Yes
kalshi

Devin Vassell: 1+

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,906
N/A
N/A
$1,887
Settled
Yes
kalshi

Stephon Castle: 1+

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,529
N/A
N/A
$1,520
Settled
Yes
kalshi

Victor Wembanyama: 1+

View
100%
Yes 100¢No 0¢
100¢
N/A
$939
N/A
N/A
$903
Settled
Yes
kalshi

Stephon Castle: 2+

View
0%
Yes 0¢No 100¢
100¢
N/A
$5,368
N/A
N/A
$5,075
Settled
No
kalshi

Stephon Castle: 3+

View
0%
Yes 0¢No 100¢
100¢
N/A
$5,003
N/A
N/A
$4,957
Settled
No
kalshi

Devin Vassell: 3+

View
0%
Yes 0¢No 100¢
100¢
N/A
$3,083
N/A
N/A
$2,813
Settled
No
kalshi

Devin Vassell: 2+

View
0%
Yes 0¢No 100¢
100¢
N/A
$2,077
N/A
N/A
$1,698
Settled
No
kalshi

Luguentz Dort: 2+

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,337
N/A
N/A
$1,311
Settled
No
kalshi

Shai Gilgeous-Alexander: 2+

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,181
N/A
N/A
$1,160
Settled
No
kalshi

Victor Wembanyama: 3+

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,017
N/A
N/A
$827
Settled
No
kalshi

Shai Gilgeous-Alexander: 3+

View
0%
Yes 0¢No 100¢
100¢
N/A
$659
N/A
N/A
$659
Settled
No
kalshi

Luguentz Dort: 3+

View
0%
Yes 0¢No 100¢
100¢
N/A
$461
N/A
N/A
$461
Settled
No
kalshi

Shai Gilgeous-Alexander: 1+

View
0%
Yes 0¢No 100¢
100¢
N/A
$145
N/A
N/A
$136
Settled
No
kalshi

Jalen Williams: 1+

View
0%
Yes 0¢No 100¢
100¢
N/A
$57
N/A
N/A
$57
Settled
No
kalshi

Jalen Williams: 2+

View
0%
Yes 0¢No 100¢
100¢
N/A
$8
N/A
N/A
$8
Settled
No
kalshi

Jalen Williams: 3+

View
N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 18

Intro

This market on Kalshi tracks whether Victor Wembanyama will record at least 3 steals in the Oklahoma City versus San Antonio matchup. The leading outcome, Shai Gilgeous-Alexander recording 1 or more steals, stands at 78.0% probability. Resolution will be determined by official NBA statistics following the game originally scheduled for May 28, 2026. Watch Wembanyama's defensive intensity and positioning during the May 28, 2026 contest, as his activity level and the Spurs' overall defensive scheme will be critical signals for this outcome.

Frequently asked questions

Prediction market odds on Kalshi often diverge from traditional sportsbook lines because they reflect real-time trader conviction rather than bookmaker margins. Sportsbooks adjust odds to balance liability; prediction markets aggregate dispersed information from thousands of participants. For the Oklahoma City at San Antonio steals market, comparing Kalshi prices to major sportsbook offerings reveals whether traders see value the books have missed. Prediction markets typically react faster to injury news and lineup changes than sportsbooks do.

The market resolves on May 29, 2026, shortly after the game concludes. Resolution is determined by official final statistics for steals recorded in the matchup. Each contract outcome—whether tied to a specific player's steal total or a team aggregate—settles based on verified box-score data. Once the game ends and official stats are published, the market automatically resolves contracts to their final values, paying out traders who correctly predicted the steal thresholds.

Key catalysts include injury announcements affecting defensive starters, lineup rotations, and recent defensive performance trends for both teams. Player rest decisions, foul trouble patterns, and opponent pace of play all influence steal probability. Analyst commentary on defensive matchups and any last-minute roster changes can shift trader positioning significantly. Additionally, historical head-to-head steals data and each team's season-long defensive efficiency metrics serve as reference points traders monitor leading up to tipoff.