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Women's Round of 16 Qualifiers

📊 $0 traded 🏦 Source: Kalshi
Total Volume
$0
Open Interest
0
Active Markets
2
Markets
74

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All Outcomes (74)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
Stephen F. Austin 0%
$0 Resolved
Iowa St. 0%
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Holy Cross 0%
$0 Resolved
Green Bay 0%
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Texas Tech 0%
$0 Resolved
Ole Miss 0%
$0 Resolved
Maryland 0%
$0 Resolved
Stanford 0%
$0 Resolved
Washington 0%
$0 Resolved
North Carolina 0%
$0 Resolved
Syracuse 0%
$0 Resolved
Illinois 0%
$0 Resolved
Utah 0%
$0 Resolved
California Baptist 0%
$0 Resolved
Clemson 0%
$0 Resolved
Louisville 0%
$0 Resolved
Oklahoma St. 0%
$0 Trade →
Nebraska 0%
$0 Resolved
Jacksonville 0%
$0 Resolved
Kentucky 0%
$0 Resolved
Notre Dame 0%
$0 Resolved
USC 0%
$0 Resolved
South Carolina 0%
$0 Resolved
Oklahoma 0%
$0 Resolved
West Virginia 0%
$0 Resolved
Alabama 0%
$0 Resolved
TCU 0%
$0 Resolved
James Madison 0%
$0 Resolved
Rice 0%
$0 Resolved
Minnesota 0%
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Grand Canyon 0%
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Baylor 0%
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North Carolina St. 0%
$0 Resolved
LSU 0%
$0 Resolved
Western Illinois 0%
$0 Resolved
Iowa 0%
$0 Resolved
Ohio St. 0%
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Michigan St. 0%
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Colorado 0%
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Princeton 0%
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FDU 0%
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Miami (OH) 0%
$0 Resolved
Navy 0%
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Georgia 0%
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Fairfield 0%
$0 Resolved
Southern University 0%
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UC San Diego 0%
$0 Resolved
Villanova 0%
$0 Resolved
Murray St. 0%
$0 Resolved
Virginia Tech 0%
$0 Resolved
Vanderbilt 0%
$0 Resolved
Duke 0%
$0 Resolved
Tennessee 0%
$0 Resolved
High Point 0%
$0 Resolved
Michigan 0%
$0 Resolved
Rhode Island 0%
$0 Resolved
Idaho 0%
$0 Resolved
UTSA 0%
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Richmond 0%
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South Dakota St. 0%
$0 Resolved
Charleston 0%
$0 Resolved
Arizona St. 0%
$0 Resolved
Samford 0%
$0 Resolved
Colorado St. 0%
$0 Resolved
Vermont 0%
$0 Resolved
Missouri St. 0%
$0 Resolved
Gonzaga 0%
$0 Resolved
Howard 0%
$0 Resolved
Virginia 0%
$0 Resolved
Oregon 0%
$0 Resolved
Texas 0%
$0 Resolved
UCLA 0%
$0 Trade →
SMU 0%
$0 Resolved
UConn 0%
$0 Resolved

About This Market

This prediction market aggregates traders' expectations about outcomes in the Women's Round of 16 Qualifiers, including which teams advance or specific match results. It matters because market prices synthesize public information and can highlight changing consensus as matches approach.

Round of 16 qualifiers determine which teams progress to the knockout stages of a women's international tournament or competition; the exact format depends on the competition organizer. Historically these qualifiers produce a mix of expected results and occasional upsets driven by form, injuries, and scheduling; this market lists 38 possible outcomes and remains open until the organizer-defined resolution window (close time: TBD).

Market odds reflect traders' collective assessment of how likely each listed outcome is, updating as new information (team news, results, scheduling) becomes available. Use price movement and volume as indicators of changing expectations rather than definitive forecasts.

Key Factors

Frequently Asked Questions

When will this Women's Round of 16 Qualifiers market close and how does that relate to match timing?

The market close time is listed as TBD on the event page; markets of this type typically close before the relevant match(es) begin or at a predefined resolution cutoff specified in the market rules, so check the market’s terms for the exact cutoff.

What do the 38 outcomes in this market represent?

The 38 outcomes correspond to the discrete advancement or match-result scenarios defined by the market creator (for example, specific teams advancing, particular scorelines, or match combinations); consult the market description on the platform to see the exact mapping of each listed outcome.

Who determines the official result used to settle this event?

Settlement is based on the official result published by the tournament organizer or governing body named in the market’s resolution rules; the market will follow that official source to determine which outcome is resolved as correct.

What kinds of news or developments typically cause rapid price movement in a Round of 16 qualifiers market?

Key lineup announcements, last-minute injuries or suspensions, coaching changes, official confirmations of venue or kick-off time, and unexpected match cancellations or postponements are the most common triggers for sudden price shifts.

How can historical trends in Round of 16 qualifiers inform how I read this market?

Past qualifiers show that seeding and travel often favor higher-ranked teams but upsets are common when favorites face fixture congestion, key absences, or underestimated opponents; treat market prices as a real-time snapshot that incorporates both historical patterns and current developments.

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