TOTAL VOLUME:

$134.2b

24H VOL:

$126,590,312

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,439,516,703

404,175

Markets across

30,277

events

MATCHED EVENTS:

2,685

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
NC Dinos vs Lotte Giants: Total Runs
kalshi

NC Dinos vs Lotte Giants: Total Runs

Volume:
$7,740

Over 7.5 runs scored

 - Kalshi

Over 7.5 runs scored - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 24, 2026

Closed: Jun 24, 8:34 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

Over 7.5 runs scored

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,291
N/A
N/A
$1,009
Settled
Yes
kalshi

Over 5.5 runs scored

100%
Yes 100¢No 0¢
100¢
N/A
$678
N/A
N/A
$678
Settled
Yes
kalshi

Over 9.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$5,193
N/A
N/A
$3,733
Settled
No
kalshi

Over 11.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$578
N/A
N/A
$578
Settled
No
Total markets: 4

Description

This event tracks the combined run production between NC Dinos and Lotte Giants in their college baseball matchup on June 24, 2026. Bettors predict whether the total runs scored by both teams will exceed various thresholds.

Kalshi

The event resolves based on the combined total runs scored by NC Dinos and Lotte Giants in their game scheduled for June 24, 2026 at 5:30 AM EDT. Resolution occurs at four distinct run thresholds: if the combined total exceeds 5.5 runs, 7.5 runs, 9.5 runs, or 11.5 runs, the corresponding market resolves affirmatively. Each threshold represents an independent resolution condition, allowing bettors to take positions on different levels of offensive output. The final official score at the conclusion of the game determines the outcome.

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 in this matchup. You can monitor how the market's implied probability shifts throughout the trading window, track 24-hour volume activity, and review historical price data to understand how sentiment around the final run count has evolved. This live tracking helps you spot momentum and identify entry or exit points before the game concludes.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets like this one are driven by traders wagering real money on their beliefs about the actual outcome. This market aggregates dispersed knowledge from many participants, which can sometimes surface insights that traditional sportsbooks haven't fully priced in. Comparing the two can reveal where consensus differs and highlight potential value.

On Kalshi, this market is priced through an order-book mechanism where traders directly set bid and ask prices 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 contract reflects the collective confidence of market participants in that specific outcome, with higher prices indicating greater perceived likelihood. As new information emerges—team lineups, weather, injury updates—traders adjust their positions, causing prices to shift in real time and the implied probability to move accordingly.

This market resolves around Jun 24, 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 across all innings. Your position settles based on whether the actual total falls within or outside the range you selected when you traded, with payouts reflecting the accuracy of your prediction relative to the final official score.

Key catalysts include lineup announcements, starting pitcher confirmations, and any last-minute roster changes or injuries to star players. Weather conditions—wind speed and direction, temperature, humidity—can significantly influence run-scoring potential. Recent team form, head-to-head matchup history, and bullpen availability also drive trader sentiment. Breaking news about player availability or field conditions closer to game time may trigger sharp repricing. As the game begins, live scoring updates will create continuous repricing opportunities throughout the contest.