TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

Markets across

30,526

events

MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Arkansas-Pine Bluff at Alabama A&M: Spread
kalshi

Arkansas-Pine Bluff at Alabama A&M: Spread

Volume:
$57,555

Alabama A&M wins by over 3.5 Points

 - Kalshi

Alabama A&M wins by over 3.5 Points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Feb 17, 2026

Alabama A&M wins by over 3.5 Points?

100%chance
Amount

$

Trade on
kalshi

Trade on Kalshi

Join Kalshi and score $25 for your first trade.At 100¢ buys you 100 shares | Odds: 100% Total Payout: $100 | Net Profit: $0 Multiplier: 1.00x | ROI: 0% | APY: N/A Illiquid market
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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Alabama A&M wins by over 3.5 Points

100%
Yes 100¢No 0¢
—
$2,698
$23,661
0%
0%
$16,498
N/A
kalshi

Alabama A&M wins by over 9.5 Points

100%
Yes 100¢No 0¢
—
$37,668
$14,728
0%
0%
$10,788
N/A
kalshi

Alabama A&M wins by over 6.5 Points

100%
Yes 100¢No 0¢
—
$3,731
$9,945
0%
0%
$6,578
N/A
kalshi

Alabama A&M wins by over 12.5 Points

0%
Yes 0¢No 100¢
—
$4,997
$5,052
0%
0%
$4,650
N/A
kalshi

Arkansas-Pine Bluff wins by over 3.5 Points

0%
Yes 0¢No 100¢
—
$868
$1,873
0%
0%
$1,768
N/A
kalshi

Arkansas-Pine Bluff wins by over 6.5 Points

0%
Yes 0¢No 100¢
—
$672
$823
0%
0%
$602
N/A
kalshi

Arkansas-Pine Bluff wins by over 12.5 Points

0%
Yes 0¢No 100¢
—
$619
$778
0%
0%
$775
N/A
kalshi

Arkansas-Pine Bluff wins by over 9.5 Points

0%
Yes 0¢No 100¢
—
$635
$429
0%
0%
$376
N/A
kalshi

Alabama A&M wins by over 15.5 Points

0%
Yes 0¢No 100¢
—
$2,945
$211
0%
0%
$183
N/A
kalshi

Alabama A&M wins by over 18.5 Points

0%
Yes 0¢No 100¢
—
$18,519
$55
0%
0%
$55
N/A
Total markets: 10

Description

A men's college basketball game between two teams scheduled for February 16, 2026, with various spread outcomes determining results across different point differential thresholds.