TOTAL VOLUME:

$134.2b

24H VOL:

$130,522,377

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,438,389,636

404,028

Markets across

30,214

events

MATCHED EVENTS:

2,681

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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UFC Fight Night: Juliana Miller vs. Carli Judice (Women's Flyweight, Prelims)
kalshi
polymarket

UFC Fight Night: Juliana Miller vs. Carli Judice (Women's Flyweight, Prelims)

Volume:
$659,258

Carli Judice

 - Kalshi

Carli Judice - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Feb 22, 2026

Will Carli Judice win the Miller vs Judice professional MMA fight scheduled for Feb 21, 2026?

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
You will be redirected to the platform to complete this trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Carli Judice

100%
Yes 100¢No 0¢
—
N/A
$133,235
0%
0%
$106,578
N/A
polymarket

O/U 0.5 Rounds

100%
Yes 100¢No 0¢
—
N/A
$11,153
0%
N/A
N/A
N/A
polymarket

O/U 2.5 Rounds

100%
Yes 100¢No 0¢
—
N/A
$3,076
0%
N/A
N/A
N/A
polymarket

O/U 1.5 Rounds

100%
Yes 100¢No 0¢
—
N/A
$1,158
0%
N/A
N/A
N/A
polymarket

Fight to Go the Distance?

100%
Yes 100¢No 0¢
—
N/A
$244
0%
N/A
N/A
N/A
kalshi

Juliana Miller

0%
Yes 0¢No 100¢
—
N/A
$324,195
0%
0%
$265,433
N/A
polymarket

Miller vs. Judice

0%
Yes 0¢No 100¢
—
N/A
$183,960
0%
N/A
N/A
N/A
polymarket

Fight won by KO/TKO?

0%
Yes 0¢No 100¢
—
N/A
$1,215
0%
N/A
N/A
N/A
polymarket

Judice to win by KO/TKO?

0%
Yes 0¢No 100¢
—
N/A
$789
0%
N/A
N/A
N/A
polymarket

Miller to win by KO/TKO?

0%
Yes 0¢No 100¢
—
N/A
$155
0%
N/A
N/A
N/A
polymarket

Fight won by submission?

0%
Yes 0¢No 100¢
—
N/A
$78
0%
N/A
N/A
N/A
Total markets: 11

Description

This event group covers multiple prediction markets for the UFC Fight Night preliminary bout between Juliana Miller and Carli Judice (Women's Flyweight division) scheduled for February 21, 2026. Markets span fighter winner, method of victory (KO/TKO, submission, decision), fight duration thresholds, and distance completion.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's primary win market contains a logical contradiction: both Miller and Judice winning cannot both resolve to Yes. This makes the market fundamentally unresolvable as written and creates irreconcilable conflict with Polymarket's mutually exclusive outcome structure.Hero tip: Do not rely on Kalshi's win market for settlement. Use Polymarket's explicit winner resolution (Miller or Judice) as the authoritative source. Kalshi's market will require platform clarification or manual settlement override. Flag this for PredictionHero compliance review before any settlement execution.

Critical divergence points:

  • Kalshi: Win market states: 'If Juliana Miller wins... resolves to Yes' AND 'If Carli Judice wins... resolves to Yes.' This is logically impossible—both outcomes cannot both be Yes. No explicit handling of draws, no contests, or postponements. Outcome space is undefined.
  • Polymarket: Winner market resolves to 'Miller' if Miller wins, 'Judice' if Judice wins, and '50-50' for draw, technical draw, no contest, not scored, canceled, or postponed beyond March 7, 2026. Mutually exclusive outcomes with explicit edge-case handling. Method markets (KO/TKO, submission, distance) partition all possible fight outcomes correctly.
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.