# Men's Championship Game Qualifiers 2026 Championship Game Updated: March 30, 2026 Category: Sports Tags: Basketball HTML: /markets/sports/basketball/men-s-championship-game-qualifiers/ ## Short Answer **Key takeaway.** Both the **model** and the **market** expect Arizona to be the most likely qualifier for the 2026 Men's Championship Game, with no compelling evidence of mispricing. ## Key Claims (January 2026) **- - UConn's turnover margin against Illinois is the greatest exploitable mismatch.** - Braylon Mullins maintains consistent statistical output throughout postseason play. - Arizona and Michigan enter the Final Four as co-favorites. - Arizona's dominant paint presence and offensive rebounding are significant strengths. - Arizona's poor 3-point shooting presents a key vulnerability. - No significant "sharp money" activity detected for UConn vs. Illinois. ### Why This Matters (GEO) - AI agents extract claims, not arguments. - Improves citation probability in summaries and answer cards. - Enables fact stitching across multiple sources. ## Executive Verdict **Key takeaway.** **Model** sees **45.1%** **probability** vs 44c **market** price, with 2.3x payout, highlighting UConn's turnover mismatch. ### Who Wins and Why | Outcome | Market | Model | Why | | --- | --- | --- | --- | | Outcome | 44.0% | 45.1% | Model higher by 1.1pp | ## Model vs Market - Model Probability: 45.1% (Yes) - Market Probability: 44.0% (Yes) - Yes refers to: Yes - Edge: +1.1pp - Expected Return: +2.5% - R-Score: 0.11 - Total Volume: $1,443,747 - 24h Volume: $332,877 - Open Interest: $1,081,668 - Expiration: April 19, 2026 ## Market Behavior & Price Dynamics This prediction market has experienced a significant upward trend, moving from an opening price of 9.0% to its current level of 43.0%. The most notable price movement occurred on March 29, 2026, when the probability dropped sharply by 11.0 percentage points, from 17.0% down to 6.0%. According to the provided context, this drop was not based on the team's performance but was driven by market structure and heavy betting on their opponent, Duke, ahead of the Elite Eight game. Following that event, the market saw a dramatic reversal, surging to 43.0% by March 30, establishing a new high and a key psychological level for traders. The price action suggests a low point or support level was established around the 6.0% mark before this massive rally. Trading volume patterns strongly reinforce the conviction behind recent price moves. Volume was negligible in the early stages of the market but surged to over 6,500 contracts during the sharp price increase to 43.0%. This spike in volume coinciding with a major price move indicates a high level of market participation and strong agreement among traders about the team's improved prospects. The chart's overall price action reflects a dramatic shift in market sentiment. After a period of bearishness leading into the Elite Eight, sentiment has become overwhelmingly bullish, with the market now assigning a 43.0% probability that the team will qualify for the Men's Championship Game. ## Significant Price Movements ### Outcome: UConn #### 📉 March 29, 2026: 11.0pp drop Price decreased from 17.0% to 6.0% **What happened:** The 11.0 percentage point drop in the prediction market for UConn to qualify for the Men's Championship Game on March 29, 2026, was primarily driven by market structure factors [[^]](https://www.ncaa.com/video/basketball-men/2026-03-29/duke-blue-devils-vs-connecticut-huskies-condensed-game-202621827). Leading up to their Elite Eight game against Duke, heavy public betting on Duke—the 5-5.5 point favorites—caused UConn's implied win probability for that specific game to decrease by approximately 11 percentage points from opening to closing lines [Web Research, 8, 9, 10] [[^]](https://www.npr.org/2026/03/29/nx-s1-5765506/final-four-ncaa-2026). This pre-game shift in betting sentiment, reflecting reduced confidence in UConn's immediate prospects, translated directly to a drop in the championship qualifier market [[^]](https://www.espn.go.com/mens-college-basketball/story/_/id/48335596/march-madness-predictions-live-tracker-elite-eight-michigan-duke-uconn-2026). Social media activity, which later highlighted UConn's dramatic post-game victory, occurred *after* this market drop and would likely have had an opposing effect [1, 2, Web Research] [[^]](https://sports.yahoo.com/articles/elite-8-winners-losers-uconn-235108369.html). Social media was (d) irrelevant to this specific price drop [[^]](https://scores.espn.go.com/mens-college-basketball/story/_/id/48335596/march-madness-predictions-live-tracker-elite-eight-michigan-duke-uconn-2026). ### Outcome: Michigan #### 📈 March 28, 2026: 11.0pp spike Price increased from 30.0% to 41.0% **What happened:** The primary driver of the 11.0 percentage point spike was the widespread social media amplification following Michigan's 90-77 victory over Alabama in the NCAA Sweet 16 on March 27, 2026 [[^]](https://www.michigandaily.com/sports/mens-basketball/no-1-seed-michigan-pulls-away-from-no-4-seed-alabama-wins-90-77-in-sweet-16/). This win, which qualified Michigan for the Elite Eight, generated significant buzz from fans and influential figures like Charles Barkley and Charles Woodson, who posted reactions celebrating the team's advancement and increased championship prospects [[^]](https://www.maizenbrew.com/michigan-mens-basketball/109930/michigan-basketball-sweet-16-alabama-crimson-tide-social-media-reactions). This intense social media activity, coinciding directly with the game's outcome, served as a powerful "catalyst for hype," accelerating the positive adjustment in market sentiment [[^]](https://www.maizenbrew.com/michigan-mens-basketball/109930/michigan-basketball-sweet-16-alabama-crimson-tide-social-media-reactions). Social media was a primary driver. ### Outcome: Illinois #### 📈 March 27, 2026: 19.0pp spike Price increased from 15.0% to 34.0% **What happened:** The primary driver of Illinois's 19.0 percentage point spike on March 27, 2026, was their decisive 65-55 victory over #2 seed Houston in the NCAA Men's Basketball Tournament Sweet 16 [[^]](https://www.espn.co.uk/mens-college-basketball/recap/_/gameId/401856566). This win immediately qualified Illinois for the Elite Eight, significantly enhancing their prospects of reaching the Championship Game [[^]](https://www.bcsnn.com/basketball/5178-illinois-is-one-win-away-from-the-final-four-after-shocking-the-houston-cougars-65-55). While this victory "sparked social media reactions" [Web Research], these appeared to coincide with or follow the game result, amplifying the news rather than initiating the market movement. Therefore, social media activity was a (b) contributing accelerant. ### Outcome: Arizona #### 📉 March 20, 2026: 12.0pp drop Price decreased from 45.0% to 33.0% **What happened:** The primary driver for the reported 12.0 percentage point drop in Arizona's prediction market price on March 20, 2026, cannot be identified from the provided sources, and no social media activity was found to explain such a movement. On this date, Arizona decisively defeated Long Island University 92-58 in the first round of the NCAA Men's Basketball Tournament, advancing to the next round, an outcome that would typically increase or stabilize its chances of qualifying for the Championship Game [[^]](https://www.espn.com/mens-college-basketball/recap/_/gameId/401856529). No social media posts, traditional news, or other factors were found to suggest a negative event that would correlate with a significant price decline for Arizona's championship prospects. Therefore, social media activity appears to be (d) irrelevant to this described price movement, as the available evidence contradicts the premise of a drop. ## Contract Snapshot This Kalshi market resolves to "Yes" if Michigan qualifies for the 2026 Men's March Madness Championship Game, even if they do not ultimately compete; otherwise, it resolves to "No." The market opened on January 23, 2026, and will close either immediately after the outcome occurs or by April 19, 2026, at 10:00 AM EDT, with payouts projected 5 minutes after closing. Outcome verification relies on ESPN and Kalshi using information from the NCAA. ## Market Discussion The 2026 NCAA Men's Basketball Tournament Final Four consists of No [[^]](https://polymarket.com/event/2026-ncaa-tournament-winner). 1 seeds Arizona and Michigan, No [[^]](https://polymarket.com/sports/cbb/bracket). 3 Illinois, and No [[^]](https://www.usatoday.com/story/sports/ncaab/2026/03/28/final-four-teams-mens-march-madness-bracket-updates-schedule/89351851007/). ## What is the Greatest Exploitable Mismatch by KenPom's 'Four Factors'? UConn Turnover Percentage Forced Rank | #5 [[^]](https://kenpom.com/) | Illinois Offensive Turnover Percentage Committed Rank | #95 [[^]](https://kenpom.com/) | UConn/Illinois Mismatch Ranking Difference | 90 spots [[^]](https://kenpom.com/) | **UConn's turnover matchup against Illinois presents the greatest exploitable mismatch** UConn's turnover matchup against Illinois presents the greatest exploitable mismatch. KenPom's 'Four Factors' identify the substantial disparity between UConn's #5 ranked turnover percentage forced and Illinois' #95 ranked offensive turnover percentage committed as a critical area for potential disruption [[^]](https://kenpom.com/). This creates a significant 90-spot difference in national rankings, which is twice the gap of the alternative scenario, underscoring its pronounced and exploitable weakness within KenPom's analytical **model** [[^]](https://kenpom.com/). UConn's defensive strength in forcing turnovers could severely impact Illinois' offensive flow [[^]](https://kenpom.com/). The Arizona versus Michigan matchup offers a less significant exploitable gap. This alternative scenario involves Arizona's #3 ranked effective field goal percentage against Michigan's #48 ranked defensive rebounding rate [[^]](https://kenpom.com/). While effective field goal percentage is a key 'Four Factor,' the difference in rankings for this matchup is only 45 spots [[^]](https://kenpom.com/blog/four-factors/). This is half that of the UConn-Illinois scenario, making the turnover mismatch a more pronounced strategic advantage in KenPom's framework [[^]](https://kenpom.com/blog/four-factors/). ## Have Teams Won Elite Eight with Last-Second Buzzer-Beater? Elite Eight Buzzer-Beaters (Past 20 Tournaments) | None documented (2006-2026) [[^]](https://www.sports-reference.com/cbb/friv/ncaa-buzzer-beaters.html) | Historical SU/ATS Data for 'Emotional Hangover' | Not available due to no occurrences [[^]](https://www.sports-reference.com/cbb/friv/ncaa-buzzer-beaters.html) | UConn's 2026 Sweet 16 Victory | 67-63 win over Michigan State, not a buzzer-beater [[^]](https://www.espn.com/mens-college-basketball/video/_/gameId/401856571), [[^]](https://sports.yahoo.com/articles/live-updates-michigan-state-vs-234519050.html), [[^]](https://sports.yahoo.com/articles/michigan-state-basketball-rally-falls-041506971.html), [[^]](https://www.lansingstatejournal.com/story/sports/columnists/graham-couch/2026/03/28/msu-basketball-falls-short-against-uconn-in-ncaa-tournament-three-quick-takes/89346231007/), [[^]](https://www.wndu.com/2026/03/28/michigan-state-falls-uconn-67-63-sweet-16/) | **No Elite Eight buzzer-beaters occurred in the last two decades** No Elite Eight buzzer-beaters occurred in the last two decades. A comprehensive analysis of the past 20 NCAA men's tournaments, spanning from 2006 to 2026, reveals no recorded instances of teams advancing to the Final Four by winning their Elite Eight game via a last-second buzzer-beater. This finding is supported by thorough data, including resources like Sports-Reference, which tracks March Madness buzzer-beaters [[^]](https://www.sports-reference.com/cbb/friv/ncaa-buzzer-beaters.html). While notable buzzer-beaters have taken place, such as those by San Diego State in 2023 and Gonzaga in 2021, these critical plays occurred in Final Four games, not during the Elite Eight round [[^]](https://www.sports-reference.com/cbb/friv/ncaa-buzzer-beaters.html). No data exists to assess a Final Four emotional hangover. Due to the complete absence of Elite Eight buzzer-beater victories in the specified timeframe, there is no historical straight-up (SU) or against-the-spread (ATS) performance data available to analyze a potential 'emotional hangover' effect for teams in this particular scenario. Furthermore, the premise involving UConn is inaccurate, as their path to the 2026 Elite Eight included a 67-63 victory over Michigan State in the Sweet Sixteen, which was not decided by a last-second buzzer-beater [[^]](https://www.espn.com/mens-college-basketball/video/_/gameId/401856571), [[^]](https://sports.yahoo.com/articles/live-updates-michigan-state-vs-234519050.html), [[^]](https://sports.yahoo.com/articles/michigan-state-basketball-rally-falls-041506971.html), [[^]](https://www.lansingstatejournal.com/story/sports/columnists/graham-couch/2026/03/28/msu-basketball-falls-short-against-uconn-in-ncaa-tournament-three-quick-takes/89346231007/), [[^]](https://www.wndu.com/2026/03/28/michigan-state-falls-uconn-67-63-sweet-16/). Consequently, there is no evidence to support an assessment of an 'emotional hangover' for UConn under the specified conditions. ## Was Sharp Money Detected in UConn vs. Illinois Matchups? Point Spread Divergence | No 10%+ divergence between ticket count and money handle for UConn vs [[^]](https://www.si.com/betting/sharp-vs-public-betting-splits-for-every-march-madness-sweet-16-game). Illinois, Michigan vs [[^]](https://www.oddsshopper.com/articles/ncaab/connecticut-vs-illinois-prediction-odds-public-expert-split-elite-8-matchup-t14). Arizona (Web Research Results) [[^]](https://www.thesportsgeek.com/blog/march-madness-betting-trends/) | Sweet 16 Divergence Range | 50-70% difference for some earlier tournament games (Sweet 16) [[^]](https://www.si.com/betting/sharp-vs-public-betting-splits-for-every-march-madness-sweet-16-game) | Primary Matchup Data Found | Opening odds and general predictions for UConn vs. Illinois and Michigan vs. Arizona [[^]](https://www.sportsbettingdime.com/news/college-basketball/favored-arizona-vs-michigan-odds-spread-total-moneyline-final-four/) | **No significant 'sharp money' divergence was found for specific matchups** No significant 'sharp money' divergence was found for specific matchups. Research was conducted to identify "sharp money" indicators, specifically a 10 percentage point or more divergence between public ticket count and the actual money handle on point spreads for the UConn vs. Illinois and Michigan vs. Arizona matchups. However, an analysis of available data from sources like VSIN and Action Network did not reveal evidence of such a divergence for these particular games [Web Research Results]. Earlier tournament rounds showed betting splits, but not for target games. While preceding tournament rounds, such as the Sweet 16, did exhibit betting splits where dollar amounts diverged from ticket counts by ranges like 50-**70%** for certain games, specific data indicating a 10 percentage point or greater divergence for the UConn vs. Illinois or Michigan vs. Arizona matchups was not identified [1, 4, Web Research Results]. For these specific contests, the available information predominantly covered opening odds or general predictions [[^]](https://www.sportsbettingdime.com/news/college-basketball/favored-arizona-vs-michigan-odds-spread-total-moneyline-final-four/). Specific 'sharp money' indicators remain absent for these games. Consequently, based on the conducted research, distinct indicators of "sharp money," defined as a 10 percentage point or more divergence between ticket count and money handle on the point spreads for UConn vs. Illinois and Michigan vs. Arizona, are not available [Web Research Results]. Any "sharp money" indicators for these particular matchups are presently limited to observations of general odds movement and futures markets [[^]](https://www.thesportsgeek.com/blog/march-madness-betting-trends/). ## Is Braylon Mullins' Postseason Performance Sustainable? Regular Season Scoring | 12.0 PPG (4.4-10.2 FG) [[^]](https://www.espn.com/mens-college-basketball/player/gamelog/_/id/5196916/braylon-mullins) | Postseason Scoring | 12.3 PPG (4.3-10.0 FG) [[^]](https://www.espn.com/mens-college-basketball/player/gamelog/_/id/5196916/braylon-mullins) | Clutch Performance Highlight | Game-winning 35-foot three-pointer vs Duke in Elite Eight [[^]](https://www.espn.com/mens-college-basketball/story/_/id/48335596/march-madness-predictions-live-tracker-elite-eight-michigan-duke-uconn-2026) | **Braylon Mullins maintains consistent statistical output from regular season to postseason** Braylon Mullins maintains consistent statistical output from regular season to postseason. A freshman guard for UConn, Mullins' regular season averages included 28 minutes per game (MPG), 12.0 points per game (PPG), and a **43.5%** field goal percentage, alongside a True Shooting Percentage (TS%) of.559. In the postseason, his minutes increased to 32.7 MPG, while his scoring remained stable at 12.3 PPG with a **43.3%** field goal percentage [[^]](https://www.espn.com/mens-college-basketball/player/gamelog/_/id/5196916/braylon-mullins). This stability in his field goal performance and perfect free throw shooting in observed samples suggests that his usage rate and True Shooting Percentage have remained comparable [[^]](https://www.espn.com/mens-college-basketball/player/gamelog/_/id/5196916/braylon-mullins). Mullins has delivered key performances aligning with historical Cinderella surges. He has demonstrated his ability to perform in high-stakes environments, notably scoring 21 points against Georgetown and 17 points against UCLA, culminating in a game-winning 35-foot three-pointer against Duke in the Elite Eight [[^]](https://www.espn.com/mens-college-basketball/story/_/id/48335596/march-madness-predictions-live-tracker-elite-eight-michigan-duke-uconn-2026). This pattern of a freshman stepping up without a significant jump in usage rate aligns with historical 'Cinderella' players like Villanova's Harold Jensen in 1985 and Louisville's Anton Gill in 2015, who elevated their play without a massive increase in offensive load [[^]](https://www.si.com/college/2015/03/28/anton-gill-louisville-cardinals-ncaa-tournament-elite-eight). No strong evidence suggests Braylon Mullins is due for statistical regression. Given his consistent scoring, background as an elite recruit, and proven ability to perform in crucial moments, his sustained performance during UConn's run to the Final Four indicates a talent level capable of maintaining his current output [[^]](http://www.tankathon.com/players/braylon-mullins). ## When Are NCAA Final Four Officials Announced and Their Tendencies Known? Final Four Crews Announcement | Not publicly announced as of March 30 (typically game day afternoon) [[^]](https://www.ncaa.com/news/basketball-men/article/2025-03-31/ncaa-division-i-mens-basketball-committee-names-game-officials-mens-final-four), [[^]](https://www.refmetrics.com/ncaa-men/todays-games), [[^]](https://www.npr.org/2026/03/29/nx-s1-5765506/final-four-ncaa-2026), [[^]](https://www.usatoday.com/story/sports/ncaab/2026/03/28/final-four-teams-mens-march-madness-bracket-updates-schedule/89351851007/) | Detailed Foul Tendencies | Not publicly available for specific officials/games without specialized subscription [[^]](https://www.refmetrics.com/ncaa-men/todays-games), [[^]](https://www.refmetrics.com/ncaa-men/referee-profile) | Roger Ayers Career Fouls | ~15.8 fouls per team per game (career-wide) [[^]](https://www.refmetrics.com/ncaa-men/todays-games), [[^]](https://www.refmetrics.com/ncaa-men/referee-profile), [[^]](https://www.refmetrics.com/ncaa-men/game-leaders) | **The specific officiating crews for the 2026 NCAA Men's Final Four games have not been publicly announced** The specific officiating crews for the 2026 NCAA Men's Final Four games have not been publicly announced. As of March 30, the exact three-person crews assigned to the semifinal matchups—UConn versus Illinois and Michigan versus Arizona, both scheduled for April 4 in Indianapolis—are typically announced on the afternoon of game day [[^]](https://www.ncaa.com/news/basketball-men/article/2025-03-31/ncaa-division-i-mens-basketball-committee-names-game-officials-mens-final-four), [[^]](https://www.refmetrics.com/ncaa-men/todays-games), [[^]](https://www.npr.org/2026/03/29/nx-s1-5765506/final-four-ncaa-2026), [[^]](https://www.usatoday.com/story/sports/ncaab/2026/03/28/final-four-teams-mens-march-madness-bracket-updates-schedule/89351851007/). While the NCAA generally releases a larger pool of 11 officials selected for the Final Four, which has included names such as Roger Ayers, James Breeding, and Doug Shows in previous years, the precise assignments for each game remain undisclosed until closer to tip-off [[^]](https://www.ncaa.com/news/basketball-men/article/2025-03-31/ncaa-division-i-mens-basketball-committee-names-game-officials-mens-final-four), [[^]](https://www.ncaa.org/news/2026/3/24/media-center-officials-approved-for-division-i-basketball-tournament.aspx), [[^]](https://forum.officiating.com/basketball/106588-ncaam-tournament-officials-2026-a-print.html). Detailed foul-calling tendencies for these officials are not publicly available. Public information does not include specific metrics like fouls per 40 minutes or whistle rates on drives to the basket, particularly for high-leverage tournament games [[^]](https://www.refmetrics.com/ncaa-men/todays-games), [[^]](https://www.refmetrics.com/ncaa-men/referee-profile). Furthermore, there are no breakdowns tailored to distinguish between physical teams, such as Michigan and UConn, and finesse teams like Arizona [[^]](https://www.refmetrics.com/ncaa-men/todays-games), [[^]](https://www.refmetrics.com/ncaa-men/referee-profile). Although services like RefMetrics provide general career statistics for officials, such as Roger Ayers averaging approximately 15.8 fouls per team per game over his career (14.9 fouls at home, 16.9 fouls away), access to tournament-specific data or whistle rates on drives requires a subscription [[^]](https://www.refmetrics.com/ncaa-men/todays-games), [[^]](https://www.refmetrics.com/ncaa-men/referee-profile), [[^]](https://www.refmetrics.com/ncaa-men/game-leaders). Consequently, specific historical tendencies relevant to the distinct playing styles of the competing Final Four teams are not freely accessible [[^]](https://www.refmetrics.com/ncaa-men/todays-games). ## What Could Change the Odds **Arizona and Michigan enter the Final Four as co-favorites, both projected around 31-35% odds according to Polymarket [[^]](https://www.ncaa.com/news/basketball-men/article/2026-03-28/2026-march-madness-mens-ncaa-tournament-schedule-dates).** Arizona's bullish outlook stems from its dominant paint presence, offensive rebounding, and a balanced attack, bolstered by freshmen standout Burries and Peat, marking their first Final Four appearance since 2001. However, their poor 3-point shooting could be a vulnerability [[^]](https://www.ncaa.com/news/basketball-men/article/2026-03-28/2026-march-madness-mens-ncaa-tournament-schedule-dates). Michigan's strengths lie in its deep frontcourt and impressive blowout victories, including a 95-62 win against Tennessee, under coach Dusty May's leadership [[^]](https://www.ncaa.com/news/basketball-men/article/2026-03-28/2026-march-madness-mens-ncaa-tournament-schedule-dates). Despite their strong run, Michigan is considered a slight underdog against Arizona in their semifinal matchup [[^]](https://www.ncaa.com/news/basketball-men/article/2026-03-28/2026-march-madness-mens-ncaa-tournament-schedule-dates). **Illinois and UConn represent the underdogs, with Polymarket odds at 14-18% and 13% respectively [[^]](https://www.ncaa.com/news/basketball-men/article/2026-03-28/2026-march-madness-mens-ncaa-tournament-schedule-dates).** Illinois, a No. 3 seed, is recognized for its Big Ten grit, the impact of its 'Balkan Bloc' recruits, and a recent surge in defensive performance [[^]](https://www.ncaa.com/news/basketball-men/article/2026-03-28/2026-march-madness-mens-ncaa-tournament-schedule-dates). Conversely, UConn, despite having the longest odds at +550 and some recent struggles, brings the pedigree of back-to-back titles and a balanced scoring attack, having secured several comeback wins this tournament [[^]](https://www.ncaa.com/news/basketball-men/article/2026-03-28/2026-march-madness-mens-ncaa-tournament-schedule-dates). The semifinals on April 4 will see UConn face Illinois, followed by Arizona against Michigan, with the championship game scheduled for April 6 [[^]](https://www.ncaa.com/news/basketball-men/article/2026-03-28/2026-march-madness-mens-ncaa-tournament-schedule-dates). ## Key Dates & Catalysts - **Expiration:** April 19, 2026 - **Closes:** April 19, 2026 ## Decision-Flipping Events - Arizona and Michigan enter the Final Four as co-favorites, both projected around 31-**35%** odds according to Polymarket [^] . - Arizona's bullish outlook stems from its dominant paint presence, offensive rebounding, and a balanced attack, bolstered by freshmen standout Burries and Peat, marking their first Final Four appearance since 2001. - However, their poor 3-point shooting could be a vulnerability [^] . - Michigan's strengths lie in its deep frontcourt and impressive blowout victories, including a 95-62 win against Tennessee, under coach Dusty May's leadership [^] . ## Related Research Reports - [CB Malaga vs Bilbao Basket](/markets/sports/basketball/cb-malaga-vs-bilbao-basket/) - [Adelaide Crows vs Hawthorn Hawks](/markets/sports/aussie-rules/adelaide-crows-vs-hawthorn-hawks/) - [Djurgarden vs Sirius](/markets/sports/soccer/djurgarden-vs-sirius/) - [APF Division de Honor Apertura Champion](/markets/sports/soccer/apf-division-de-honor-apertura-champion/) ## Historical Resolutions **Historical Resolutions:** 20 markets in this series **Outcomes:** 0 resolved YES, 20 resolved NO **Recent resolutions:** - KXMARMADROUND-26T2-UGA: NO (Mar 20, 2026) - KXMARMADROUND-26F4-UGA: NO (Mar 20, 2026) - KXMARMADROUND-26E8-UGA: NO (Mar 20, 2026) - KXMARMADROUND-26S16-UGA: NO (Mar 20, 2026) - KXMARMADROUND-26RO32-UGA: NO (Mar 20, 2026) ## Disclaimer This content is for informational and educational purposes only and does not constitute financial, investment, legal, or trading advice. Prediction markets involve risk of loss. Past performance does not guarantee future results. We are not affiliated with Kalshi or any prediction market platform. Market data may be delayed or incomplete. ### Data Sources & Model Transparency **Data Sources:** Octagon Deep Research aggregates information from multiple sources including news, filings, and market data. **Freshness:** Analysis is generated periodically and may not reflect the latest developments. Verify critical information from primary sources. ## Attribution Policy When quoting, summarizing, or reproducing Octagon content, attribute it to Octagon and link to the Octagon source URL: https://octagonai.co/markets/sports/basketball/men-s-championship-game-qualifiers If a specific page was used, cite that page rather than only the site homepage.