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$1,423,222,590

402,751

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2,632

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Caribbean Premier League: Antigua And Barbuda Falcons vs Guyana Amazon Warriors - Team Top Batter
kalshi
polymarket

Caribbean Premier League: Antigua And Barbuda Falcons vs Guyana Amazon Warriors - Team Top Batter

Volume:
$25,914

Antigua And Barbuda Falcons over 139.5 runs scored

 - Kalshi

Antigua And Barbuda Falcons over 139.5 runs scored - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 24, 2026

Closed: Aug 23, 10:10 PM EST

kalshi

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

Antigua And Barbuda Falcons over 139.5 runs scored

View
0%
Yes 0¢No 100¢
100¢
N/A
$11,158
N/A
N/A
$6,227
Settled
No
kalshi

Antigua And Barbuda Falcons over 164.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$8,023
N/A
N/A
$6,802
Settled
No
kalshi

Antigua And Barbuda Falcons over 189.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$3,960
N/A
N/A
$3,960
Settled
No
kalshi

Guyana Amazon Warriors over 189.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$2,047
N/A
N/A
$2,047
Settled
No
kalshi

Guyana Amazon Warriors over 139.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$567
N/A
N/A
$426
Settled
No
kalshi

Guyana Amazon Warriors over 164.5 runs scored

0%
Yes 0¢No 100¢
100¢
N/A
$160
N/A
N/A
$160
Settled
No
polymarket

ANT

0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Draw

0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

GUY

100%
Yes 100¢No 0¢
1¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
Total markets: 9

Description

This event group covers two distinct markets related to the Antigua And Barbuda Falcons vs Guyana Amazon Warriors cricket match in the Caribbean Premier League. The Kalshi markets focus on total runs thresholds for each team, while the Polymarket markets determine which team's player scores the highest individual runs in the match.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Fundamental Logic Divergence - Different Market TypesHero tip: These markets measure entirely different outcomes and cannot be resolved using the same data source or logic. Treat them as separate bets with distinct resolution paths.

Critical divergence points:

  • Polymarket: Determines which team's player scores the highest individual runs in the match. Resolves to Antigua And Barbuda Falcons if their player has the highest score exclusively, Guyana Amazon Warriors if their player has the highest score exclusively, or Draw if the highest score is shared between teams or if the match is canceled/abandoned without official statistics.
  • Kalshi: Resolves to Yes for a specific market if the corresponding team's total runs exceed a predefined threshold (139.5, 164.5, or 189.5). Each market has its own threshold and resolves independently based on the team's total match score.
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Polymarket

This market refers to which team's player records the highest individual run total in the cricket match between Antigua And Barbuda Falcons and Guyana Amazon Warriors scheduled for 2026-08-23 in Caribbean Premier League. The outcome corresponding to Antigua And Barbuda Falcons will be considered correct if the highest individual score in the match is recorded exclusively by a player from Antigua And Barbuda Falcons. The outcome corresponding to Guyana Amazon Warriors will be considered correct if the highest individual score is recorded exclusively by a player from Guyana Amazon Warriors. If the highest individual score is shared by at least one player from each team, the market will resolve to Draw. The market will resolve according to which team's player records the highest individual run total regardless of if the match is not competed (e.g. Due to weather conditions). DLS/DRS adjustments and any other on-field rulings affecting batting statistics are treated as ordinary data. If the match is permanently canceled, abandoned, or otherwise completed without official batting statistics being recorded, the market will resolve Draw. If the match is postponed or rescheduled, the market remains open until the listed fixture is completed and official statistics are available.

Kalshi

All markets resolve based on the total runs scored by each team in the specified Caribbean Premier League cricket match, provided an official result is declared. If the match is cancelled before play begins, all markets resolve to fair market price. If play starts but no official result is declared (including via DLS), markets resolve to fair market price except for statistics already definitively achieved. For shortened matches with an official result, match winner markets resolve based on that result, while statistical markets resolve solely on actual recorded statistics without projections. Additionally, if the match is delayed by more than 48 hours from its scheduled start time, all markets resolve to fair market price. Kalshi disclaims any affiliation with the governing league, and all trademarks remain property of their respective owners.

Frequently asked questions

On Polymarket, the CPL top batter market dashboard shows real-time consensus and trading volume across platforms. It aggregates bets to display the current probability distribution for which team’s player will score the most runs in the match. The dashboard updates continuously as new trades flow in, letting users see how market sentiment shifts before the game. With a total volume of $25,914, it reflects widespread interest in predicting batting performance. This centralized view helps traders compare positioning and spot momentum swings in the short_topic as the event approaches.

On Polymarket and Kalshi, prices can vary because of differing user bases, liquidity levels, and trading dynamics. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. For instance, one platform might attract more local fans who favor a home team’s batter, skewing its odds. Meanwhile, the other could reflect international traders focusing on global stats. Lower 24-hour volume of $25,914 on either venue can amplify price swings from large single trades. These factors combined often produce distinct probability curves even for the same underlying question.