TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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San Antonio at New York: Points Leader
kalshi

San Antonio at New York: Points Leader

Volume:
$230,061

Victor Wembanyama

 - Kalshi

Victor Wembanyama - Kalshi

1W

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Positive

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Hover marker for details

Vol.

·

Resolved Jun 9, 2026

Closed: Jun 8, 11:52 PM EST

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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

Victor Wembanyama

View
50%
Yes 50¢No 50¢
100¢
N/A
$15,208
N/A
N/A
$13,140
Settled
No
kalshi

Jalen Brunson

50%
Yes 50¢No 50¢
100¢
N/A
$12,303
N/A
N/A
$10,829
Settled
No
kalshi

De'Aaron Fox

0%
Yes 0¢No 100¢
100¢
N/A
$32,448
N/A
N/A
$31,246
Settled
No
kalshi

Stephon Castle

0%
Yes 0¢No 100¢
100¢
N/A
$27,754
N/A
N/A
$24,336
Settled
No
kalshi

Karl-Anthony Towns

0%
Yes 0¢No 100¢
100¢
N/A
$25,130
N/A
N/A
$23,036
Settled
No
kalshi

Julian Champagnie

0%
Yes 0¢No 100¢
100¢
N/A
$24,102
N/A
N/A
$23,215
Settled
No
kalshi

OG Anunoby

0%
Yes 0¢No 100¢
100¢
N/A
$20,649
N/A
N/A
$19,418
Settled
No
kalshi

Mikal Bridges

0%
Yes 0¢No 100¢
100¢
N/A
$20,073
N/A
N/A
$20,073
Settled
No
kalshi

Josh Hart

0%
Yes 0¢No 100¢
100¢
N/A
$16,817
N/A
N/A
$16,067
Settled
No
kalshi

Keldon Johnson

0%
Yes 0¢No 100¢
100¢
N/A
$12,951
N/A
N/A
$12,165
Settled
No
kalshi

Dylan Harper

0%
Yes 0¢No 100¢
100¢
N/A
$11,800
N/A
N/A
$10,865
Settled
No
kalshi

Landry Shamet

0%
Yes 0¢No 100¢
100¢
N/A
$4,428
N/A
N/A
$4,428
Settled
No
kalshi

Devin Vassell

0%
Yes 0¢No 100¢
100¢
N/A
$3,486
N/A
N/A
$3,486
Settled
No
kalshi

Miles McBride

0%
Yes 0¢No 100¢
100¢
N/A
$1,276
N/A
N/A
$1,126
Settled
No
kalshi

Mitchell Robinson

0%
Yes 0¢No 100¢
100¢
N/A
$870
N/A
N/A
$767
Settled
No
kalshi

Jose Alvarado

0%
Yes 0¢No 100¢
100¢
N/A
$766
N/A
N/A
$766
Settled
No
Total markets: 16

Description

This market concerns a professional basketball game between San Antonio and New York originally scheduled for June 8, 2026. The event resolves based on which player records the most points in the matchup, with specific players listed as potential point leaders.

Frequently asked questions

The San Antonio at New York: Points Leader dashboard on Kalshi tracks real-time odds and prediction market data for which player will record the most points in the professional basketball game between San Antonio and New York scheduled for June 8, 2026. The dashboard displays the current odds for the leading outcome, historical price movements, and 24-hour trading volume in USD. This allows traders and fans to monitor how market sentiment shifts as game day approaches and new information emerges about player availability and matchup conditions.

Prediction market odds on Kalshi often diverge from traditional sportsbook odds because they reflect real-time trader sentiment rather than bookmaker pricing models. Sportsbooks typically adjust lines to balance action and lock in profit margins, while prediction markets aggregate distributed beliefs across many participants. For the San Antonio at New York points leader market, comparing Kalshi odds to major sportsbooks can reveal whether the crowd is pricing the leading candidate differently than professional oddsmakers, potentially signaling value or consensus shifts in player performance expectations.

The San Antonio at New York: Points Leader market resolves on Jun 9, 2026, after the game concludes. Resolution is determined by which player records the highest point total in the official final box score. If multiple players tie for the most points, the market rules specify how that scenario is handled. Traders should review the full market terms on Kalshi to understand edge cases and any tie-breaking criteria before placing positions.

Several catalysts could shift odds for the San Antonio at New York: Points Leader market before Jun 9, 2026. Injury announcements or player availability updates for either team will significantly impact expected scoring distributions. Lineup changes, coaching adjustments, or rest decisions announced closer to game day can alter which players are expected to see heavy usage. Trade deadline activity, recent performance trends, and head-to-head matchup history between the leading candidate and opposing defenders may also influence trader positioning and price movement.