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St. Thomas (MN) Tommies vs. Northern Iowa Panthers (W)
polymarket
kalshi

What is the result of St. Thomas (MN) Tommies vs. Northern Iowa Panthers?

Total volume:
$5,774
Volume 24h:
$4,641
1,015%
Liquidity:
$235
85%
Open interest:
$5,393
381%

St. Thomas (MN) Tommies vs. Northern Iowa Panthers (W)

 - Polymarket

St. Thomas (MN) Tommies vs. Northern Iowa Panthers (W) - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 2, 2026

St. Thomas (MN) Tommies vs. Northern Iowa Panthers (W)

100%chance
Amount

$

Trade on
polymarket

Trade on Polymarket

At 50¢ buys you 200 shares | Odds: 100% Total Payout: $200 | Net Profit: $100 Multiplier: 2.00x | ROI: 100% | APY: N/A Illiquid market
You will be redirected to the platform to complete this trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
polymarket

St. Thomas (MN) Tommies vs. Northern Iowa Panthers (W)

Trade
100%
70%
Yes 100¢No 50¢
—
$235
$20
0%
N/A
N/A
0d 0h 0m
Active
kalshi

Northern Iowa

View
100%
31%
Yes 100¢No 0¢
—
N/A
$3,120
N/A
N/A
$3,101
Settled
Yes
kalshi

St. Thomas

View
0%
28%
Yes 0¢No 100¢
—
N/A
$2,634
N/A
N/A
$2,292
Settled
No
Total markets: 3

Description

This event group concerns the outcome of a women's college basketball game between St. Thomas (MN) Tommies and Northern Iowa Panthers, originally scheduled for November 2, 2026. The markets aim to determine which team wins the game.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's resolution condition is overly broad, resolving to 'Yes' on a win by either team, while Polymarket focuses solely on determining the winner.Hero tip: Be aware that Kalshi's market will resolve to 'Yes' regardless of which team wins, making it less about predicting the winner and more about the game happening. Polymarket offers a more traditional win/loss market.

Critical divergence points:

  • Polymarket: The market resolves based on which team wins the game. If the game is canceled without a make-up game, it resolves 50-50. "This event is for the WBB game between St. Thomas (MN) Tommies and Northern Iowa Panthers on November 2 at 7:00PM ET."
  • Kalshi: The market resolves to 'Yes' if either Northern Iowa or St. Thomas wins the game. "If Northern Iowa wins the St. Thomas vs Northern Iowa women's college basketball game originally scheduled for Nov 2, 2026, then the market resolves to Yes. If St. Thomas wins the St. Thomas vs Northern Iowa women's college basketball game originally scheduled for Nov 2, 2026, then the market resolves to Yes."
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 event is for the WBB game between St. Thomas (MN) Tommies and Northern Iowa Panthers on November 2 at 7:00PM ET. 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, this market will resolve 50-50.

Kalshi

The market resolves to Yes for the respective team if they win the designated women's college basketball game. If the game is postponed but starts within 48 hours of the original time, the market stays open and resolves based on the final result. If the game is cancelled or does not start within 48 hours, both markets resolve to a fair price.

Frequently asked questions

Prediction market odds, like those found on Polymarket and Kalshi, often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their lines based on statistical models and expert analysis, while this market is driven by real money at risk. This can lead to discrepancies, especially when public sentiment strongly influences a market. While sportsbooks may initially set odds based on team rankings and statistics, this market can quickly adjust to incorporate new information and changing perceptions about the college football matchup. It’s useful to compare both to gain a more well-rounded understanding of the likely outcome.

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. Prices on Polymarket and Kalshi may diverge due to several factors. Each platform attracts a different user base with varying levels of expertise and information. Trading fees and platform-specific rules can also influence price discovery. Furthermore, the volume traded on each platform impacts price sensitivity; a larger volume on one platform may lead to more accurate and efficient pricing. The differing opinions of traders on each platform regarding the college football matchup contribute to these price discrepancies, making it valuable to observe both Polymarket and Kalshi to understand the full range of market expectations.

This market resolves around Nov 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be determined by the official outcome of the St. Thomas (MN) Tommies vs. Northern Iowa Panthers (W) game. The final score and any official rulings will be used to verify the winning outcome. Trading will cease once the result is known and publicly available, ensuring a fair and transparent resolution process for all participants in this market.

Several factors could influence the trading activity and price movement in this market before Nov 3, 2026. Any news regarding injuries to key players on either team would likely have a significant impact. Changes in weather forecasts, particularly if severe weather is expected, could also shift the probabilities. Public sentiment, reflected in media coverage and social media discussions about the college football matchup, can also drive trading decisions. Unexpected announcements related to team strategy or coaching changes could also contribute to market volatility.