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UFC Fight Night: Wes Schultz vs. Damian Pinas (Middleweight, Prelims)
kalshi
polymarket

UFC Fight Night: Wes Schultz vs. Damian Pinas (Middleweight, Prelims)

Volume:
$705,992

Damian Pinas

 - Kalshi

Damian Pinas - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Mar 1, 2026

Closed: Feb 28, 10:00 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

Damian Pinas

View
100%
Yes 100¢No 0¢
—
N/A
$185,291
N/A
N/A
$147,534
Settled
Yes
polymarket

Fight won by KO/TKO?

View
100%
Yes 100¢No 0¢
—
N/A
$219
N/A
N/A
N/A
Settled
Yes
polymarket

Pinas to win by KO/TKO?

View
100%
Yes 100¢No 0¢
—
N/A
$128
N/A
N/A
N/A
Settled
Yes
polymarket

Schultz vs. Pinas

View
0%
Yes 0¢No 100¢
—
N/A
$357,653
N/A
N/A
N/A
Settled
No
kalshi

Wesley Schultz

View
0%
Yes 0¢No 100¢
—
N/A
$161,461
N/A
N/A
$153,644
Settled
No
polymarket

O/U 1.5 Rounds

View
0%
Yes 0¢No 100¢
—
N/A
$675
N/A
N/A
N/A
Settled
No
polymarket

Fight won by submission?

View
0%
Yes 0¢No 100¢
—
N/A
$244
N/A
N/A
N/A
Settled
No
polymarket

O/U 2.5 Rounds

View
0%
Yes 0¢No 100¢
—
N/A
$112
N/A
N/A
N/A
Settled
No
polymarket

Schultz to win by KO/TKO?

View
0%
Yes 0¢No 100¢
—
N/A
$109
N/A
N/A
N/A
Settled
No
polymarket

Fight to Go the Distance?

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

O/U 0.5 Rounds

View
N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 11

Description

This event group covers multiple prediction markets for the UFC Fight Night preliminary middleweight bout between Wes Schultz and Damian Pinas, scheduled for February 28, 2026. Markets span winner determination, method of victory (KO/TKO, submission), round duration thresholds, and fight distance completion.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi winner markets omit explicit edge-case and postponement logic, while Polymarket defines comprehensive fallback rules including 50-50 resolution for draws, no contests, cancellations, and postponements beyond March 14, 2026. Method-of-victory and round-duration markets on Polymarket are unified and explicit; Kalshi has no corresponding markets in this group.Hero tip: Kalshi traders face ambiguity on draws and postponements—treat Kalshi winner markets as UFC-official-declaration-only with no stated fallback. Polymarket traders have explicit protection: any edge case (draw, no contest, postponement after March 14) resolves 50-50. For maximum clarity, prioritize Polymarket's method-of-victory and round markets, which have identical edge-case logic. If you trade Kalshi, hedge with Polymarket's 50-50 fallback logic.

Critical divergence points:

  • Kalshi: Two binary markets: (1) Wesley Schultz wins → Yes; (2) Damian Pinas wins → Yes. No explicit handling of draws, technical decisions, no contests, cancellations, or postponement cutoffs. Resolution source stated as 'professional MMA fight originally scheduled for Feb 28, 2026' but lacks UFC-official-source citation and edge-case fallback.
  • Polymarket: Winner market: Schultz or Pinas with explicit 50-50 fallback for draws, technical draws, no contests, cancellations, or postponements beyond March 14, 2026. Method-of-victory markets (KO/TKO by either fighter, submission, distance) all include identical 50-50 fallback logic. Round-duration markets (O/U 0.5, 1.5, 2.5) resolve 50-50 if fight is not scored, postponed beyond March 14, or canceled. All cite official UFC information as resolution source.
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.