TOTAL VOLUME:

$134b

24H VOL:

$107,351,958

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,416,970,024

400,720

Markets across

30,097

events

MATCHED EVENTS:

2,633

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Series Game Spread: San Antonio (2) vs Oklahoma City (1)
kalshi

Series Game Spread: San Antonio (2) vs Oklahoma City (1)

Volume:
$215,468

Oklahoma City -1.5 games

 - Kalshi

Oklahoma City -1.5 games - Kalshi

1W

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Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved May 29, 2026

Closed: May 28, 10:59 PM EST

kalshi

Kalshi

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

Oklahoma City -1.5 games

View
0%
Yes 0¢No 100¢
100¢
N/A
$79,437
N/A
N/A
$45,888
Settled
No
kalshi

Oklahoma City -2.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$69,869
N/A
N/A
$52,526
Settled
No
kalshi

San Antonio -1.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$43,227
N/A
N/A
$31,593
Settled
No
kalshi

San Antonio -2.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$22,935
N/A
N/A
$14,326
Settled
No
Total markets: 4

Intro

This market tracks whether Oklahoma City will win the Western Conference Finals series against San Antonio by more than 1.5 games in the 2026 Pro Basketball Playoffs. On Kalshi, the probability of Oklahoma City covering the -1.5 game spread stands at 41.0%. Resolution is determined by the official final series result as recorded by the NBA. Watch for the series outcome by June 3, 2026, when the Western Conference Finals concludes.

Frequently asked questions

The Series Game Spread dashboard on Kalshi tracks real-time odds and trading activity for the Western Conference Finals matchup between San Antonio and Oklahoma City. It displays the current implied probability of Oklahoma City covering the series spread, along with 24-hour volume data showing $2,701 in recent trading activity. The dashboard also logs price history, allowing traders to monitor how odds have shifted as new information emerges. Total group volume stands at $215,468, reflecting sustained interest in this playoff series outcome prediction.

Prediction market odds on Kalshi often diverge from traditional sportsbook spreads because they reflect real-time trader sentiment rather than fixed betting lines. Sportsbooks adjust spreads to balance action and manage liability, while prediction markets aggregate continuous belief updates from participants. For this San Antonio versus Oklahoma City series, the prediction market price reflects aggregated expectations about whether Oklahoma City will cover the spread, whereas sportsbooks may price the same outcome differently based on their risk management and customer flow. Comparing the two venues reveals how professional traders value this playoff matchup relative to traditional oddsmakers.

The Series Game Spread market resolves on Jun 3, 2026 following the conclusion of the Western Conference Finals series between San Antonio and Oklahoma City. Resolution is determined by the final series outcome and whether Oklahoma City's performance meets or exceeds the specified spread threshold. Once the series concludes and official results are confirmed, the contract settles to either one or zero based on whether the outcome matches the contract terms. Traders should monitor the playoff schedule and any schedule changes that might affect the resolution timeline.

Key catalysts for price movement include playoff game results, player injuries or roster changes, and momentum shifts within the series. Each game outcome will provide concrete data about team performance, directly influencing whether Oklahoma City is tracking toward covering the spread. Unexpected injuries to star players, trades, or coaching decisions could dramatically alter expectations. Media narratives and analyst commentary may also sway trader sentiment. Additionally, performance in earlier playoff rounds by both teams will establish baseline expectations before the Western Conference Finals begin. Real-time trading activity and large position changes can also trigger rapid repricing as new information enters the market.