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$1,438,389,636

404,028

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2,681

PLATFORM COVERAGE:

5

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New York at San Antonio: Points
kalshi

New York at San Antonio: Points

Volume:
$3,322,681

Dylan Harper: 15+

 - Kalshi

Dylan Harper: 15+ - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 14, 2026

Closed: Jun 13, 10:29 PM 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

Dylan Harper: 15+

View
100%
Yes 100¢No 0¢
100¢
N/A
$174,498
N/A
N/A
$144,569
Settled
Yes
kalshi

Dylan Harper: 25+

View
100%
Yes 100¢No 0¢
100¢
N/A
$162,928
N/A
N/A
$126,787
Settled
Yes
kalshi

Jalen Brunson: 30+

View
100%
Yes 100¢No 0¢
100¢
N/A
$136,709
N/A
N/A
$101,988
Settled
Yes
kalshi

Jalen Brunson: 35+

View
100%
Yes 100¢No 0¢
100¢
N/A
$122,795
N/A
N/A
$94,757
Settled
Yes
kalshi

Dylan Harper: 20+

View
100%
Yes 100¢No 0¢
100¢
N/A
$120,036
N/A
N/A
$97,437
Settled
Yes
kalshi

Julian Champagnie: 10+

View
100%
Yes 100¢No 0¢
100¢
N/A
$93,831
N/A
N/A
$82,118
Settled
Yes
kalshi

Jalen Brunson: 40+

View
100%
Yes 100¢No 0¢
100¢
N/A
$75,093
N/A
N/A
$56,890
Settled
Yes
kalshi

Jalen Brunson: 25+

View
100%
Yes 100¢No 0¢
100¢
N/A
$66,539
N/A
N/A
$52,520
Settled
Yes
kalshi

Josh Hart: 10+

View
100%
Yes 100¢No 0¢
100¢
N/A
$59,951
N/A
N/A
$44,224
Settled
Yes
kalshi

Devin Vassell: 10+

View
100%
Yes 100¢No 0¢
100¢
N/A
$34,586
N/A
N/A
$24,244
Settled
Yes
kalshi

Mikal Bridges: 10+

View
100%
Yes 100¢No 0¢
100¢
N/A
$27,501
N/A
N/A
$23,544
Settled
Yes
kalshi

Dylan Harper: 10+

View
100%
Yes 100¢No 0¢
100¢
N/A
$15,310
N/A
N/A
$14,724
Settled
Yes
kalshi

Victor Wembanyama: 25+

View
0%
Yes 0¢No 100¢
100¢
N/A
$263,988
N/A
N/A
$164,596
Settled
No
kalshi

Victor Wembanyama: 30+

View
0%
Yes 0¢No 100¢
100¢
N/A
$261,674
N/A
N/A
$191,737
Settled
No
kalshi

Mikal Bridges: 15+

View
0%
Yes 0¢No 100¢
100¢
N/A
$130,293
N/A
N/A
$109,205
Settled
No
kalshi

OG Anunoby: 20+

View
0%
Yes 0¢No 100¢
100¢
N/A
$130,162
N/A
N/A
$102,502
Settled
No
kalshi

OG Anunoby: 15+

View
0%
Yes 0¢No 100¢
100¢
N/A
$92,594
N/A
N/A
$67,454
Settled
No
kalshi

Victor Wembanyama: 35+

View
0%
Yes 0¢No 100¢
100¢
N/A
$82,322
N/A
N/A
$72,980
Settled
No
kalshi

Julian Champagnie: 15+

View
0%
Yes 0¢No 100¢
100¢
N/A
$81,961
N/A
N/A
$60,788
Settled
No
kalshi

Victor Wembanyama: 40+

View
0%
Yes 0¢No 100¢
100¢
N/A
$81,707
N/A
N/A
$63,507
Settled
No
kalshi

Jose Alvarado: 10+

View
0%
Yes 0¢No 100¢
100¢
N/A
$76,834
N/A
N/A
$64,256
Settled
No
kalshi

Stephon Castle: 10+

View
0%
Yes 0¢No 100¢
100¢
N/A
$76,042
N/A
N/A
$51,702
Settled
No
kalshi

Miles McBride: 10+

View
0%
Yes 0¢No 100¢
100¢
N/A
$69,563
N/A
N/A
$62,947
Settled
No
kalshi

Stephon Castle: 15+

View
0%
Yes 0¢No 100¢
100¢
N/A
$65,954
N/A
N/A
$55,246
Settled
No
kalshi

Julian Champagnie: 20+

View
0%
Yes 0¢No 100¢
100¢
N/A
$65,537
N/A
N/A
$45,959
Settled
No
Total markets: 25 of 58

Intro

This market tracks whether Dylan Harper will score 25 or more points in the New York versus San Antonio professional basketball game. On Kalshi, the leading outcome—Dylan Harper scoring 25+ points—stands at 99.0%. The market resolves based on official box score data from the game. Watch for the completion of the June 13, 2026 matchup, after which final scoring totals will determine the resolution.

Kalshi

Player scoring markets settle based on points recorded during the game. If a player is listed as active but does not enter the game, the market settles to the last fair market price before game start. Once a player takes the court, settlement is determined by their final point total at game conclusion. Corrections made after the game ends do not affect resolution.

Frequently asked questions

The PredictionHero dashboard tracks real-time odds and trading activity for the New York at San Antonio: Points event on Kalshi. It displays the current probability of each outcome, historical price movements, and live 24-hour volume data to help you monitor market sentiment. The dashboard updates continuously as traders place new orders, giving you a transparent view of how the market is pricing this matchup. You can use this data to compare prediction market expectations against traditional sportsbook lines and make informed decisions about where value may exist.

Prediction market odds on Kalshi often differ from traditional sportsbook lines because they reflect real-time trader sentiment rather than bookmaker pricing models. Sportsbooks adjust lines to balance action and manage risk, while prediction markets aggregate the collective beliefs of participants trading with real money. For New York at San Antonio: Points, comparing Kalshi odds to major sportsbooks can reveal where bettors and traders disagree on point totals. These discrepancies may highlight value opportunities if you believe one venue is mispricing the outcome relative to the other.

On Kalshi, New York at San Antonio: Points is priced as a binary contract reflecting trader expectations about the final point differential or total. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices move based on order flow and new information, with each contract representing a specific outcome. Traders buy contracts they believe are underpriced and sell those they view as overpriced, creating a continuous price discovery mechanism. The current price directly reflects the market's implied probability, allowing you to assess whether the market consensus aligns with your own analysis of the matchup.

The New York at San Antonio: Points market resolves on Jun 14, 2026. Resolution is determined by the official final score of the game as recorded by the relevant sports league. Once the game concludes and the final point total or differential is confirmed, the market settles based on which outcome occurred. Traders should monitor official sources for any scoring corrections or clarifications that may affect the final result before the market officially closes.

Several factors could shift odds for New York at San Antonio: Points before Jun 14, 2026. Key player injuries or roster changes announced by either team can significantly impact scoring expectations. Team form, recent offensive and defensive performance, and head-to-head matchup history all influence trader positioning. Breaking news about coaching decisions, travel circumstances, or other game-day factors may also trigger price movement. Additionally, large trades by sophisticated participants can signal new information and prompt others to adjust their positions, creating cascading price changes in the market.