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Missouri vs Kansas

Sports Β· Kalshi Β· Called YES, verified WIN Β· Sep 7, 2026
View the original Kalshi market →
Verified Outcome
WIN
PillarLab called Missouri to win (YES @ 69%).
Result: Missouri won. The call was correct. Final result: Missouri won.
Analyzed: Sep 7, 2026, 6:23 AM UTC
Market resolved: Sep 12, 2026, 4:01 AM UTC
Called 118h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxncaafgame/missouri-vs-kansas/KXNCAAFGAME-26SEP11MIZZKU?utm_source=kalshiapp_eventdetails

PillarLab
πŸ“‘ Fetching Kalshi data...
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βœ… Got data from Kalshi API!0.5s
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πŸ” Step 1: Detecting market type and category...
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βœ… Category: ⚽ SPORTS βœ… Type: MULTI_CANDIDATE πŸ“Š Market: Missouri vs Kansas πŸ“… Date: 2026-09-12T03:00:00.000Z πŸ’° Volume: $14,311 Current Odds: β€’ Missouri: 69% β€’ Kansas: 33%1.3s
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⏳ Step 2: Gathering intelligence (parallel)...
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βœ… Intelligence gathered: Sportsbook Consensus (50+ books, vig removed) Β· Injury Report Β· Team Stats Β· Candidate Dossiers (case for + case against, every candidate β‰₯2%)9.5s
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🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
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πŸ“Š Market Summary

⚽ Missouri vs Kansas

Team/PlayerCurrent Odds
Missouri69%
Kansas33%

2 options total

PillarLab

🎯 Best Trade

  • Action: Missouri β€” YES @ 69%

  • Confidence: πŸ”΄ LOW Β· Uncertainty: LOW

  • Why: 7 sharp books price Missouri between 67 and 68 (DraftKings 67, FanDuel 67, BetMGM 67, Caesars (WH) 67, BetRivers 67, Fanatics 68, MyBookie 68). Consensus, vig removed: 67%. The market has Missouri at 69%. The market is 2 points above the books, so you pay a little over fair. Still the right side.

Line move since our first snapshot: Missouri 67.4% to 67%. No meaningful move.

  • Why Kansas is priced where it is (33%):
  • Kansas is at home, which provides a slight edge.
  • Kansas routed LIU 51-6 with 613 yards, showing offensive explosiveness.
  • Kansas's win over LIU came against a weak opponent, and they struggled early offensively in 2026, so their price reflects uncertainty against a stronger Missouri team.

πŸ“ What would change this call: if the market drops Missouri 5+ points under the books it becomes a HIGH-confidence discount. If the top books split by more than 5 points, or a starter is scratched, it goes to HOLD.

PillarLab

🏦 What the Books Say

Percent is the number the call runs on. American odds in parentheses are the same price, shown the way a sportsbook shows it.

BookMissouriKansas
DraftKings66.9% (-230)33.1% (+190)
FanDuel66.7% (-230)33.3% (+188)
BetMGM67% (-235)33% (+190)
Caesars (WH)67.3% (-235)32.7% (+194)
BetRivers67% (-240)33% (+188)
Fanatics68.1% (-245)31.9% (+200)
MyBookie68.2% (-260)31.8% (+197)
Consensus, vig removed67%33%

7 sportsbooks priced this game. Spread across the top 7 on Missouri: 1.5 pts (books agree). Best price: Missouri -230 at DraftKings Β· Kansas +200 at Fanatics.

PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketBook ConsensusGapVerdict
Missouri69%67%+2 ptsβšͺ FAIR PRICE
Kansas33%33%0 ptsβšͺ FAIR PRICE

Gap is market minus book consensus. Negative means the market is cheaper than the books, that is the discount we look for. 5 or more points cheaper is where the edge lives. 5 or more points over is overpaying.

PillarLab

πŸ”¬ 9-Pillar Analysis (Sharp Trading Method)

🏦 1. Book Consensus

Consensus of 7 sportsbooks, vig removed: Missouri 67%, Kansas 33%. Spread across the top books on Missouri: 1.5 pts (books agree).

πŸ“ˆ 2. Form & Head-to-Head

Missouri enters 1-0 after a 42-31 rivalry win over Kansas in 2025, while Kansas just routed LIU 51-6 with 613 yards and scored on all eight red-zone trips.

πŸ₯ 3. Injury Report

No injury information for Missouri or Kansas is publicly available in the provided intelligence.

🧾 4. Starters & Lineups

No announced starters or lineups for this game are available in the provided intelligence.

πŸ“° 5. Recent News (48h)

Nothing material in the last 48 hours.

🌀️ 6. Situational Factors

Kansas hosts Missouri on September 11, 2026, giving Kansas the home-field advantage.

πŸ”€ 7. Line Movement

Since our first snapshot (2026-08-24 08:05 UTC): Missouri 67.4% to 67%, Kansas 32.6% to 33%. No meaningful move.

πŸ•’ 8. What the Books May Not Have Priced

LOW - No late scratches or starter changes are reported; the only recent result (Kansas's 51-6 rout of LIU) is already reflected in the market's pricing.

⚑ 9. Why the Other Side Is Priced Where It Is

Kansas sits at 33% because they are at home but face a Missouri team that beat them 42-31 in 2025 and is favored by 6.5 points on the road; Kansas's explosive 51-6 win over LIU is against a weak opponent and does not prove they can handle Missouri's defense.

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Paste any market URL for a full 9-pillar analysis: Vegas lines, injury reports, weather forecasts, sentiment, edge vs market, and a Best Trade call.

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Paste a Kalshi or Polymarket URL β†’ AI fetches real-time API market data β†’ 4–5 parallel intelligence sources β†’ a deep 9-pillar analysis β†’ an actionable prediction with an edge estimate. 5 market categories: Politics, Sports, Weather, Finance and General.

⚽ Sports (9 Pillars)

  1. 1.Vegas Lines β†’ spread, moneyline, totals
  2. 2.Line Movement β†’ sharp money signals
  3. 3.Injury Reports β†’ player status tracking
  4. 4.Reddit Sentiment β†’ r/sportsbook consensus
  5. 5.Team Statistics β†’ form, H2H, splits
  6. 6.Situational Factors β†’ rest, travel, schedule
  7. 7.Handle Splits β†’ public vs sharp money
  8. 8.Time Decay β†’ late line movement
  9. 9.Contrarian Check β†’ fade-the-public value

🌦️ Weather (9 Pillars)

  1. 1.Forecast Consensus β†’ GFS / ECMWF / NWS agreement
  2. 2.Ensemble Spread β†’ GEFS uncertainty range
  3. 3.Forecast Skill Decay β†’ accuracy vs time horizon
  4. 4.Historical Base Rate β†’ NOAA climate frequency
  5. 5.Model Divergence β†’ where models disagree vs market
  6. 6.Micro-Climate Bias β†’ station-specific effects
  7. 7.Storm Track β†’ NHC cone / hurricane tracking
  8. 8.Market Pricing β†’ implied probability vs forecast
  9. 9.Contrarian Check β†’ overshoot / mean-reversion

πŸ’° Finance (9 Pillars)

  1. 1.Technical Analysis β†’ RSI, MACD, support levels
  2. 2.Fundamental Metrics β†’ P/E, revenue, earnings
  3. 3.Smart Money β†’ institutional flows, insider trades
  4. 4.Reddit Sentiment β†’ WSB, r/stocks analysis
  5. 5.Macro Indicators β†’ Fed rates, inflation, GDP
  6. 6.News Catalysts β†’ earnings, product launches
  7. 7.Social Velocity β†’ Twitter momentum tracking
  8. 8.Market Signals β†’ volume, bid-ask analysis
  9. 9.Contrarian Check β†’ overcrowded trade detection

πŸ“° General (9 Pillars)

  1. 1.Base Rate β†’ historical frequency analysis
  2. 2.Official Benchmarks β†’ expert forecasts
  3. 3.Reddit Sentiment β†’ subreddit consensus
  4. 4.Social Velocity β†’ viral momentum tracking
  5. 5.News Recency β†’ 24–72h breaking news
  6. 6.Source Quality β†’ credibility scoring
  7. 7.Time Decay β†’ resolution timeline
  8. 8.Contrarian Check β†’ hidden edge detection

πŸ›οΈ Politics (9 Pillars)

  1. 1.Polls Analysis β†’ polling vs market odds divergence
  2. 2.Economic Impact β†’ GDP, unemployment affecting votes
  3. 3.Approval Ratings β†’ candidate favorability tracking
  4. 4.Cross-Platform Markets β†’ Polymarket vs Kalshi arbitrage
  5. 5.Breaking News β†’ events shifting political odds
  6. 6.Regional Patterns β†’ swing state analysis
  7. 7.Social Sentiment β†’ Reddit, X political trends
  8. 8.Data Uncertainty β†’ confidence intervals
  9. 9.Contrarian Risk β†’ devil's advocate view