TOTAL VOLUME:

$134.2b

24H VOL:

$130,522,377

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,438,389,636

404,028

Markets across

30,214

events

MATCHED EVENTS:

2,681

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Texas vs Toronto
kalshi
predict

Texas vs Toronto

Volume:
$2,922,672

Texas

 - Kalshi

Texas - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 27, 2026

Closed: Jun 26, 10:09 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

Texas

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,276,781
N/A
N/A
$605,612
Settled
Yes
kalshi

Toronto

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,643,862
N/A
N/A
$1,045,681
Settled
No
predict

Texas Rangers vs. Toronto Blue Jays

View
N/A
N/A
—
$3,922
$2,030
N/A
N/A
N/A
Settled
No
Total markets: 3

Intro

This market tracks the outcome of the MLB game between the Texas Rangers and Toronto Blue Jays scheduled for June 26, 2026 at 7:07 PM EDT. Aggregated across Kalshi and Predict, the consensus probability stands at 98.0% for the leading outcome based on the resolution source specifications. Watch for the game result on June 26, 2026 to determine the final settlement.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's resolution criteria are logically contradictory (both teams cannot resolve to Yes). Predict provides coherent binary resolution with explicit edge-case handling that Kalshi omits entirely.Hero tip: Treat Predict as the reliable market. Kalshi's terms appear to contain a documentation error that makes the market unresolvable as stated. Confirm Kalshi's actual contract language before committing capital. If Kalshi truly resolves both outcomes to Yes, the market is broken; if it is a typo, clarification is urgent.

Critical divergence points:

  • Kalshi: Both Toronto win and Texas win resolve to Yes. This is a logical impossibility. No edge-case guidance provided for postponement, cancellation, or tie scenarios.
  • Predict: Resolves to Texas Rangers if Rangers win, Toronto Blue Jays if Blue Jays win. Postponement keeps market open; cancellation with no makeup or tie results in 50-50 split. Resolution source: official final statistics within 24 hours, or credible reporting consensus if delayed.
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.

Kalshi

Resolution is based on the final outcome of the Texas vs Toronto professional baseball game originally scheduled for June 26, 2026 at 7:07 PM EDT. If the game is postponed or delayed, the market remains open and closes after the rescheduled game concludes within two days. Should the game be cancelled or rescheduled to more than two days away, the market resolves to a fair price in accordance with the rules.

Predict

In the upcoming MLB game between the Texas Rangers and Toronto Blue Jays, scheduled for June 26 at 7:07PM ET: This market will resolve to "Texas Rangers" if the Texas Rangers win the game. This market will resolve to "Toronto Blue Jays" if the Toronto Blue Jays win the game. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, or ends in a tie, this market will resolve 50-50. The primary resolution source for this market is the official final statistics of the event as recognized by the governing body or event organizers. However, if the governing body or event organizers have not published final match statistics within 24 hours after the event's conclusion, a consensus of credible reporting may be used instead.

Frequently asked questions

Prediction markets and sportsbooks price events through different mechanisms. Sportsbooks set odds to balance liability and extract a margin, while prediction markets rely on trader consensus and continuous order flow. This market's odds reflect what thousands of independent traders believe will happen, often incorporating real-time information faster than traditional books update lines. Comparing this market to major sportsbooks can reveal value opportunities, though prediction market liquidity and sportsbook spreads should both factor into your analysis.

Kalshi and Predict may price this event differently due to variations in user base, fee structures, and market depth. Kalshi and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Smaller or newer platforms sometimes attract traders with different information sets or risk appetites, while differences in liquidity can cause one venue to lag behind breaking news. Arbitrage traders often exploit these gaps, but transaction costs and withdrawal delays can prevent prices from converging instantly, making cross-platform monitoring valuable for spotting mispricings.

Key catalysts include injury announcements, lineup changes, recent team performance, head-to-head history, and weather conditions on game day. Major roster moves or coaching decisions often trigger sharp repricing, while betting syndicates and professional traders may shift positions based on advanced analytics or insider sentiment. Media coverage and public betting trends can also influence retail traders, creating momentum in either direction. Tracking these signals in real time helps you anticipate market swings before they fully materialize.