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404,028

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NC Dinos vs Lotte Giants: Total Runs
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NC Dinos vs Lotte Giants: Total Runs

Volume:
$12,711

Over 9.5 runs scored

 - Kalshi

Over 9.5 runs scored - Kalshi

1W

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Positive

Negative

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Vol.

·

Resolved Jun 25, 2026

Closed: Jun 25, 8:39 AM EST

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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

Over 9.5 runs scored

View
100%
Yes 100¢No 0¢
100¢
N/A
$2,394
N/A
N/A
$2,393
Settled
Yes
kalshi

Over 5.5 runs scored

100%
Yes 100¢No 0¢
100¢
N/A
$1,311
N/A
N/A
$883
Settled
Yes
kalshi

Over 7.5 runs scored

100%
Yes 100¢No 0¢
100¢
N/A
$1,213
N/A
N/A
$1,212
Settled
Yes
kalshi

Over 11.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$7,794
N/A
N/A
$5,154
Settled
No
Total markets: 4

Description

This market tracks the combined run output in a college baseball game between NC Dinos and Lotte Giants scheduled for June 25, 2026. Bettors predict whether the total runs scored by both teams will exceed various thresholds throughout the game.

Kalshi

The NC Dinos vs Lotte Giants total runs event uses tiered run thresholds to determine outcomes. Each threshold represents a distinct market: 5.5 runs, 7.5 runs, 9.5 runs, and 11.5 runs. For each threshold, the market resolves affirmatively if the combined score of both teams exceeds that specific threshold in the college baseball game originally scheduled for June 25, 2026 at 5:30 AM EDT. The resolution is based on the official final score of the game as recorded at completion. Each threshold operates independently, allowing bettors to take positions on different levels of offensive output in the matchup.

Frequently asked questions

On Kalshi, the dashboard for the NC Dinos vs Lotte Giants total runs market displays real-time odds and price movements as traders buy and sell shares tied to the combined run total from this matchup. You can monitor how the market's implied probability shifts in response to team news, injury updates, and betting activity leading up to game time. The interface shows current bid-ask spreads, recent trade history, and cumulative volume to help you gauge market sentiment and liquidity for this particular outcome.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and protect their margin, while prediction markets aggregate the collective beliefs of traders risking real capital. For this market, comparing Kalshi's implied probability to major sportsbooks' run-total lines can reveal where professional oddsmakers and retail traders disagree, potentially signaling value or consensus shifts as game day approaches.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares representing different run-total outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects the marginal trade—the last executed transaction—and moves dynamically as new orders arrive. Shares are binary: they either resolve to $1 (if the outcome occurs) or $0 (if it does not), so the current price directly represents the market's consensus probability for that specific total.

This market resolves around Jun 25, 2026, once the NC Dinos versus Lotte Giants game concludes and the final run total is verifiable from credible public sources. The outcome is determined by the combined runs scored by both teams during the match. Once the result is confirmed, this market will settle automatically, paying out $1 per share to holders of the winning outcome and $0 to all others.

Key catalysts for this market include lineup announcements, starting pitcher confirmations, and injury reports for either team's star players. Weather conditions at game time—wind speed and temperature—can significantly affect run scoring. Recent offensive and defensive performance trends, bullpen availability, and head-to-head matchup history also influence trader positioning. Breaking news about roster changes or unexpected absences can trigger sharp repricing, while live game developments during the match itself will drive final adjustments before settlement.