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406,019

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Tampa Bay vs Kansas City: Total Runs
kalshi

How many total runs will Tampa Bay and Kansas City score?

Volume:
$988,851

Over 10.5 runs scored

 - Kalshi

Over 10.5 runs scored - Kalshi

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Jul 2, 2026

Closed: Jul 1, 9:59 PM 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 10.5 runs scored

View
0%
Yes 0¢No 100¢
100¢
N/A
$292,607
N/A
N/A
$191,585
Settled
No
kalshi

Over 5.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$154,178
N/A
N/A
$58,212
Settled
No
kalshi

Over 4.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$143,952
N/A
N/A
$51,755
Settled
No
kalshi

Over 8.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$113,068
N/A
N/A
$41,728
Settled
No
kalshi

Over 6.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$82,557
N/A
N/A
$40,856
Settled
No
kalshi

Over 11.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$66,192
N/A
N/A
$42,401
Settled
No
kalshi

Over 9.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$53,011
N/A
N/A
$31,564
Settled
No
kalshi

Over 7.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$39,881
N/A
N/A
$26,692
Settled
No
kalshi

Over 12.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$27,469
N/A
N/A
$14,435
Settled
No
kalshi

Over 13.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$8,910
N/A
N/A
$6,192
Settled
No
kalshi

Over 14.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$7,029
N/A
N/A
$5,729
Settled
No
Total markets: 11

Description

This event tracks the combined run production between Tampa Bay and Kansas City across the entire game on July 1, 2026. Bettors can wager on whether the teams will collectively exceed various run thresholds throughout the full contest.

Kalshi

Resolution is based on the total combined runs scored by Tampa Bay and Kansas City in the game originally scheduled for July 1, 2026 at 7:40 PM EDT. Each outcome corresponds to a specific run threshold: Yes if combined runs exceed the stated threshold, No otherwise.

Frequently asked questions

On Kalshi, the dashboard for the Tampa Bay vs Kansas City 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 the current probability estimate, 24-hour trading volume, and historical price charts to understand how market sentiment has shifted. This snapshot helps you assess whether the market is pricing in bullish or bearish expectations for offensive output in the game.

Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets aggregate trader beliefs through continuous price discovery. This market may price the total runs differently than traditional sportsbooks, offering an alternative view of where informed traders believe the outcome probability lies. Comparing both can reveal gaps in consensus.

On Kalshi, this market is priced through an 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 contract reflects the collective assessment of all active traders, with shares trading between 0 and 100 cents based on perceived probability. As new information emerges—injury reports, lineup changes, or weather updates—traders adjust their positions, causing the price to move in real time.

This market resolves around Jul 2, 2026, once the game concludes and the final run total is confirmed. The outcome is determined by the combined runs scored by both teams across all nine innings (or extra innings if needed). Resolution is verified against credible public sources to ensure accuracy. Until that point, traders can continue to buy and sell shares as odds fluctuate with game developments.

Key catalysts include starting pitcher announcements, late-inning lineup changes, and weather conditions that affect ball flight and visibility. Injury updates to star hitters or elite relievers can shift offensive and defensive expectations significantly. Early-game scoring patterns often trigger repricing as traders update their run-total forecasts based on actual performance. Momentum swings, bullpen usage, and defensive miscues during the game itself will continue to influence trading activity right up to the final out.