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399,592

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2,622

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Toronto vs San Diego
predict
kalshi

Who will win Toronto vs San Diego?

Volume:
$6,013,409

Toronto

 - Kalshi

Toronto - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 11, 2026

Closed: Jul 11, 12:34 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

Toronto

View
100%
Yes 100¢No 0¢
100¢
N/A
$3,359,732
N/A
N/A
$1,926,055
Settled
Yes
predict

Toronto Blue Jays vs. San Diego Padres

View
99%
Yes 99¢No 1¢
—
$3,920
$37,330
N/A
N/A
N/A
Settled
No
kalshi

San Diego

View
0%
Yes 0¢No 100¢
100¢
N/A
$2,616,348
N/A
N/A
$1,458,933
Settled
No
Total markets: 3

Intro

This market tracks which team will win the MLB game between the Toronto Blue Jays and San Diego Padres on July 10, 2026 at 9:40 PM ET. The aggregated consensus across Predict and Kalshi shows Toronto at 99.0% to win. Resolution will be determined by official final statistics from MLB, or by credible reporting if official stats are not published within 24 hours of game conclusion. Watch for the final result on July 11, 2026, when the game outcome will be officially recorded.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi market contains a logical contradiction where both Toronto winning and San Diego winning are stated to resolve to Yes, making the market fundamentally unresolvable as structured. This is a data integrity failure.Hero tip: Do not trade on Kalshi until this contradiction is clarified. The market as written violates basic binary logic. Contact Kalshi support to confirm whether this is a transcription error or a structural flaw in the market design.

Critical divergence points:

  • predict: Binary outcome structure: Toronto win resolves to Toronto Blue Jays; San Diego win resolves to San Diego Padres. Edge cases (postponement, cancellation, tie) resolve 50-50. Resolution source is official MLB statistics or credible consensus within 24 hours.
  • kalshi: Logical contradiction: states both 'If Toronto wins...resolves to Yes' and 'If San Diego wins...resolves to Yes'. This creates an impossible resolution state where both mutually exclusive outcomes map to the same resolution value.
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

These markets resolve based on the outcome of the Toronto vs San Diego professional baseball game originally scheduled for July 10, 2026 at 9:40 PM EDT. Each market corresponds to one team, resolving to Yes if that team wins the game. If the game is postponed or delayed, the relevant market remains open and closes after the rescheduled game concludes, provided the reschedule occurs within two days of the original date. Should the game be cancelled entirely or rescheduled more than two days after the original date, the market will resolve to a fair price in accordance with standard resolution procedures.

Predict

In the upcoming MLB game between the Toronto Blue Jays and San Diego Padres, scheduled for July 10 at 9:40PM ET: This market will resolve to "Toronto Blue Jays" if the Toronto Blue Jays win the game. This market will resolve to "San Diego Padres" if the San Diego Padres 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 outcomes using different mechanisms. Sportsbooks set odds based on their risk models and aim to balance action on both sides; prediction markets let traders directly buy and sell shares, with prices emerging from supply and demand. This market reflects what traders collectively believe will happen, often incorporating real-time information faster than traditional sportsbooks adjust their lines. Prediction market odds can diverge from sportsbook spreads due to different liquidity levels, trader composition, and fee structures. Comparing both gives you a fuller picture of market sentiment and can reveal where sharp money is flowing.

Kalshi and Predict may show different odds on this market for several reasons. 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. Each platform has its own liquidity pools, fee schedules, and user bases, which naturally creates pricing variation. Kalshi may attract traders with different risk appetites or information sets than Predict, leading to divergent probability estimates. Market depth also differs—thinner liquidity on one platform can cause wider bid-ask spreads and slower price discovery. These gaps typically narrow as arbitrageurs trade across platforms, but temporary mispricings can persist, especially in less-liquid markets or during volatile news cycles.

Several catalysts can shift prices before resolution. Key player injuries or roster changes will likely trigger sharp moves, as will unexpected lineup announcements or coaching decisions. Team performance leading up to the matchup—winning or losing streaks, momentum shifts—often drives significant repricing. Weather conditions, if relevant, can also influence trader positioning. Breaking news about player health, trades, or team dynamics typically causes rapid volatility. Additionally, as the event date approaches, late-breaking information and final betting action from sharp bettors often compress odds and reveal where informed money is concentrated.