TOTAL VOLUME:

$134b

24H VOL:

$107,351,958

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,416,970,024

400,720

Markets across

30,097

events

MATCHED EVENTS:

2,633

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Insights
Indices
Tour
All
Trending
Breaking
New
Ending Soon
Politics
Sports
Crypto
Companies
Elections
Financials
Economics
Other
Entertainment
Science and Technology
East Texas A&M vs. McNeese
polymarket
kalshi

What is the result of East Texas A&M vs McNeese?

Volume:
$156,102

McNeese

all

2 markets

Kalshi

Polymarket

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 27, 2026

Closed: Sep 26, 10:54 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

McNeese

View
100%
37%
Yes 100¢No 0¢
100¢
N/A
$51,575
N/A
N/A
$33,792
Settled
Yes
polymarket

East Texas A&M vs. McNeese

View
0%
37%
Yes 0¢No 100¢
—
N/A
$45,481
N/A
N/A
N/A
Settled
Yes
kalshi

East Texas A&M

View
0%
37%
Yes 0¢No 100¢
100¢
N/A
$39,363
N/A
N/A
$29,531
Settled
No
polymarket

Spread -5.5

View
0%
51%
Yes 0¢No 100¢
—
N/A
$12,266
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -3.5

View
0%
51%
Yes 0¢No 100¢
—
N/A
$6,953
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 51.5

View
0%
50%
Yes 0¢No 100¢
—
N/A
$323
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -7.5

View
0%
53%
Yes 0¢No 100¢
—
N/A
$135
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 55.5

View
0%
54%
Yes 0¢No 100¢
—
N/A
$5
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -14.5

View
0%
82%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -10.5

View
0%
82%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -7.5

View
0%
82%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -5.5

View
0%
82%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -3.5

View
0%
82%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -1.5

View
0%
22%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -1.5

View
100%
1%
Yes 100¢No 0¢
17¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -10.5

View
0%
82%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -14.5

View
0%
82%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 49.5

View
100%
3%
Yes 100¢No 0¢
1¢
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 53.5

View
0%
79%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 57.5

View
0%
79%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 59.5

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

O/U 61.5

View
0%
79%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

2H Moneyline

View
50%
Yes 50¢No 50¢
2¢
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 23

Description

This group covers various markets related to the college football game between East Texas A&M and McNeese, scheduled for September 26th. Markets include predicting the winner, point spreads, and the total combined score of the game.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Significant divergence in market types and resolution criteria between platforms, with Polymarket offering granular spread and over/under markets while Kalshi focuses solely on the win/loss outcome.Hero tip: Be mindful of the specific market you are trading on each platform. Kalshi offers a very basic win/loss market, while Polymarket provides more granular options based on the margin of victory and total score. Focus on platforms offering markets aligned with your predictive edge.

Critical divergence points:

  • Polymarket: Offers markets on the winner, spread (multiple levels), and over/under (multiple levels). Resolution depends on the final game score and whether East Texas A&M or McNeese wins by a certain margin, or if the combined score exceeds a threshold. If the game is canceled, markets resolve 50-50.
  • Kalshi: Only offers a market on either McNeese or East Texas A&M winning the game. Resolution is simply based on which team wins.
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

In the upcoming college football game between East Texas A&M and McNeese, scheduled for September 26 at 7:00PM ET: This market will resolve to "East Texas A&M" if East Texas A&M win the game. This market will resolve to "McNeese" if McNeese win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. 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 college football game originally scheduled for September 26, 2026. If the game is postponed but begins within 48 hours of its scheduled start time, the market remains open to resolve based on the official final result. If the game is cancelled or does not start within 48 hours of the scheduled time, the market resolves to a fair price.

Frequently asked questions

Prediction market odds, like those found in this market, often differ from traditional sportsbook odds due to the nature of how they are determined. Sportsbooks set lines to balance action and incorporate a profit margin, while prediction markets rely on the collective forecasts of informed traders. This can lead to prediction markets being more accurate, especially when significant information isn't yet reflected in sportsbook lines. The volume of $156,102 in this market suggests active participation and a potentially efficient price discovery process.