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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UC San Diego at UC Irvine: Spread
kalshi

UC San Diego at UC Irvine: Spread

Volume:
$80,080

UC San Diego wins by over 2.5 Points

 - Kalshi

UC San Diego wins by over 2.5 Points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Feb 22, 2026

UC San Diego wins by over 2.5 Points?

Amount

$

Trade on
kalshi

Trade on Kalshi

Join Kalshi and score $25 for your first trade.At 1¢ buys you 10,000 shares | Odds: 0% Total Payout: $10,000 | Net Profit: $9,900 Multiplier: 100.00x | ROI: 9,900% | APY: N/A
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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

UC San Diego wins by over 2.5 Points

0%
Yes 0¢No 100¢
—
N/A
$24,369
0%
0%
$18,990
N/A
kalshi

UC Irvine wins by over 4.5 Points

0%
Yes 0¢No 100¢
—
N/A
$15,048
0%
0%
$9,773
N/A
kalshi

UC San Diego wins by over 5.5 Points

0%
Yes 0¢No 100¢
—
N/A
$12,406
0%
0%
$6,811
N/A
kalshi

UC Irvine wins by over 1.5 Points

0%
Yes 0¢No 100¢
—
N/A
$11,909
0%
0%
$9,723
N/A
kalshi

UC Irvine wins by over 7.5 Points

0%
Yes 0¢No 100¢
—
N/A
$8,313
0%
0%
$6,919
N/A
kalshi

UC San Diego wins by over 11.5 Points

0%
Yes 0¢No 100¢
—
N/A
$3,049
0%
0%
$2,949
N/A
kalshi

UC San Diego wins by over 8.5 Points

0%
Yes 0¢No 100¢
—
N/A
$3,028
0%
0%
$1,882
N/A
kalshi

UC Irvine wins by over 16.5 Points

0%
Yes 0¢No 100¢
—
N/A
$1,025
0%
0%
$945
N/A
kalshi

UC Irvine wins by over 10.5 Points

0%
Yes 0¢No 100¢
—
N/A
$433
0%
0%
$433
N/A
kalshi

UC Irvine wins by over 13.5 Points

0%
Yes 0¢No 100¢
—
N/A
$250
0%
0%
$250
N/A
kalshi

UC Irvine wins by over 19.5 Points

0%
Yes 0¢No 100¢
—
N/A
$250
0%
0%
$250
N/A
Total markets: 11

Description

A men's college basketball game between two teams scheduled for February 21, 2026, where the final margin of victory determines the outcome across multiple point spread thresholds.