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402,751

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UFC Fight Night: Lando Vannata vs. Darrius Flowers (Lightweight, Prelims)
kalshi
polymarket

UFC Fight Night: Lando Vannata vs. Darrius Flowers (Lightweight, Prelims)

Volume:
$122,395

Darrius Flowers

 - Kalshi

Darrius Flowers - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Apr 5, 2026

Closed: Apr 4, 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

Darrius Flowers

View
100%
Yes 100¢No 0¢
—
N/A
$24,169
N/A
N/A
$22,864
Settled
Yes
polymarket

O/U 0.5 Rounds

View
100%
Yes 100¢No 0¢
—
N/A
$187
N/A
N/A
N/A
Settled
Yes
polymarket

Flowers to win by KO/TKO?

View
100%
Yes 100¢No 0¢
—
N/A
$35
N/A
N/A
N/A
Settled
Yes
polymarket

Fight won by KO/TKO?

View
100%
Yes 100¢No 0¢
—
N/A
$30
N/A
N/A
N/A
Settled
Yes
polymarket

Lando Vannata vs. Darrius Flowers

View
0%
Yes 0¢No 100¢
—
N/A
$74,628
N/A
N/A
N/A
Settled
No
kalshi

Landon Vannata

View
0%
Yes 0¢No 100¢
—
N/A
$20,952
N/A
N/A
$20,235
Settled
No
polymarket

O/U 1.5 Rounds

View
0%
Yes 0¢No 100¢
—
N/A
$1,603
N/A
N/A
N/A
Settled
No
polymarket

O/U 2.5 Rounds

View
0%
Yes 0¢No 100¢
—
N/A
$636
N/A
N/A
N/A
Settled
No
polymarket

Vannata to win by KO/TKO?

View
0%
Yes 0¢No 100¢
—
N/A
$107
N/A
N/A
N/A
Settled
No
polymarket

Fight won by submission?

View
0%
Yes 0¢No 100¢
—
N/A
$40
N/A
N/A
N/A
Settled
No
polymarket

Fight to Go the Distance?

View
0%
Yes 0¢No 100¢
—
N/A
$8
N/A
N/A
N/A
Settled
No
Total markets: 11

Description

This event group covers a UFC Fight Night lightweight preliminary bout between Lando Vannata and Darrius Flowers scheduled for April 4, 2026, at UFC Fight Night: Moicano vs. Duncan. Markets span fight outcome (moneyline), method of victory (KO/TKO, submission, decision), fight duration (over/under round thresholds at 0.5, 1.5, and 2.5 rounds), and whether the fight goes the distance. All markets reference official UFC resolution.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi and Polymarket use fundamentally incompatible resolution logic for the same fight. Kalshi's market resolves YES if EITHER fighter wins (logically impossible for a single binary outcome), while Polymarket offers multiple distinct markets (winner, method, rounds) that each resolve independently. These are not the same event group.Hero tip: Do not treat Kalshi and Polymarket markets as fungible. Kalshi's market structure is logically broken (both outcomes cannot both be YES). Polymarket's markets are standard fight prop markets with clear, independent resolution criteria. Avoid arbitrage or hedging strategies that assume these platforms are pricing the same underlying event.

Critical divergence points:

  • Kalshi: Outlier: Kalshi presents a single binary market with contradictory resolution logic: 'If Darrius Flowers wins... then the market resolves to Yes' AND 'If Landon Vannata wins... then the market resolves to Yes.' This creates a logical impossibility where both YES outcomes are mutually exclusive but both are defined as YES resolution, making the market unresolvable.
  • Polymarket: Distinct stance: Polymarket offers six independent markets covering distinct aspects of the fight: winner (categorical), method (KO/TKO, submission, decision), and fight duration (O/U 0.5, 1.5, 2.5 rounds). Each market has clear, mutually exclusive resolution criteria tied to official UFC sources, with explicit 50-50 fallback rules for cancellation, postponement beyond April 18, 2026, or no-contest rulings.
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.