TOTAL VOLUME:

$139.3b

24H VOL:

$178,872,365

24H TRANSACTIONS:

2,540,891,627

OPEN INTEREST:

$1,640,545,998

469,304

Markets across

36,320

events

MATCHED EVENTS:

2,948

PLATFORM COVERAGE:

5

Polymarket:

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VS.

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61%

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UFC Fight Night: Sean Strickland vs. Anthony Hernandez (Middleweight, Main Card)
polymarket
kalshi

UFC Fight Night: Sean Strickland vs. Anthony Hernandez (Middleweight, Main Card)

Volume:
$12,488,774

Sean Strickland

 - Kalshi

Sean Strickland - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Feb 22, 2026

Closed: Feb 22, 2:20 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

Sean Strickland

View
100%
Yes 100¢No 0¢
—
N/A
$6,772,879
N/A
N/A
$5,979,121
Settled
Yes
kalshi

Anthony Hernandez

View
0%
Yes 0¢No 100¢
—
N/A
$1,095,457
N/A
N/A
$948,345
Settled
No
polymarket

Strickland vs. Hernandez

100%
Yes 100¢No 0¢
—
N/A
$4,544,346
0%
N/A
N/A
N/A
polymarket

Strickland to win by KO/TKO?

100%
Yes 100¢No 0¢
—
N/A
$17,131
0%
N/A
N/A
N/A
polymarket

Fight won by KO/TKO?

100%
Yes 100¢No 0¢
—
N/A
$5,210
0%
N/A
N/A
N/A
polymarket

O/U 1.5 Rounds

100%
Yes 100¢No 0¢
—
N/A
$550
0%
N/A
N/A
N/A
polymarket

O/U 0.5 Rounds

100%
Yes 100¢No 0¢
—
N/A
$512
0%
N/A
N/A
N/A
polymarket

Fight to Go the Distance?

0%
Yes 0¢No 100¢
—
N/A
$23,966
0%
N/A
N/A
N/A
polymarket

O/U 4.5 Rounds

0%
Yes 0¢No 100¢
—
N/A
$10,963
0%
N/A
N/A
N/A
polymarket

Hernandez to win by KO/TKO?

0%
Yes 0¢No 100¢
—
N/A
$10,217
0%
N/A
N/A
N/A
polymarket

Fight won by submission?

0%
Yes 0¢No 100¢
—
N/A
$5,582
0%
N/A
N/A
N/A
polymarket

O/U 2.5 Rounds

0%
Yes 0¢No 100¢
—
N/A
$1,377
0%
N/A
N/A
N/A
polymarket

O/U 3.5 Rounds

0%
Yes 0¢No 100¢
—
N/A
$584
0%
N/A
N/A
N/A
Total markets: 13

Description

This event group covers a UFC Fight Night matchup between Sean Strickland and Anthony Hernandez scheduled for February 21, 2026, at middleweight on the main card. Markets span winner determination, fight duration (multiple round thresholds), method of victory (KO/TKO, submission), and distance completion across Polymarket and Kalshi platforms.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi uses a binary win-only resolution framework with no explicit contingency language for draws, technical decisions, cancellations, or postponements, while Polymarket provides comprehensive outcome taxonomy with explicit 50-50 resolution for all non-decisive scenarios.Hero tip: Polymarket markets are fully resolvable under all UFC outcomes (win, draw, no contest, cancellation, postponement). Kalshi's binary structure leaves draws and cancellations unaddressed. If you trade Kalshi, assume it will only resolve Yes if one fighter is officially declared the winner; request clarification on contingencies from Kalshi support before settlement.

Critical divergence points:

  • Polymarket: Comprehensive outcome taxonomy. Winner markets resolve to fighter name if declared winner, or 50-50 if draw, technical draw, no contest, not scored, canceled, or postponed beyond March 7, 2026. Method markets (KO/TKO, submission, distance) similarly resolve 50-50 on non-decisive outcomes. Source: Official UFC information.
  • Kalshi: Binary win-only logic. Resolves Yes if either Strickland or Hernandez wins the fight originally scheduled for Feb 21, 2026. No explicit language addressing draws, technical decisions, cancellations, postponements, or no contests. Silent contingency handling creates settlement risk.
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.