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Minnesota vs Washington

Sports Β· Kalshi Β· Called YES, verified LOSS Β· Sep 27, 2026
View the original Kalshi market →
Verified Outcome
LOSS
PillarLab called Washington to win (YES @ 80%).
Result: Washington did not win. The call was wrong. Final result: Minnesota won.
Analyzed: Sep 27, 2026, 2:28 AM UTC
Market resolved: Sep 27, 2026, 6:47 AM UTC
Called 4h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxncaafgame/college-football-game/kxncaafgame-26sep26minnwash?op_market_ticker=KXNCAAFGAME-26SEP26MINNWASH-MINN&op_order_side=yes&op_side=BUY&op_order_type=limit

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πŸ“‘ Fetching Kalshi data...
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βœ… Got data from Kalshi API!0.7s
PillarLab
πŸ” Step 1: Detecting market type and category...
PillarLab
βœ… Category: ⚽ SPORTS βœ… Type: MULTI_CANDIDATE πŸ“Š Market: Minnesota vs Washington πŸ“… Date: 2026-09-26T20:00:00.000Z πŸ’° Volume: $144,088 Current Odds: β€’ Washington: 80% β€’ Minnesota: 21%1.2s
PillarLab
⏳ Step 2: Gathering intelligence (parallel)...
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βœ… Intelligence gathered: Vegas Lines Β· Injury Report Β· Team Stats Β· Reddit Sentiment Β· Candidate Dossiers (case for + case against, every candidate β‰₯2%)3.7s
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🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ Minnesota vs Washington

Team/PlayerCurrent Odds
Washington80%
Minnesota21%

2 options total

PillarLab

🎯 Best Trade

  • Action: Washington β€” YES @ 80%

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

  • Why: The Vegas moneyline has Washington at -395 and Minnesota at +310 β€” vig removed, that is Washington 76.6% vs Minnesota 23.4%. The market has Washington at 80%. The market sits 3.4 points above Vegas, so you pay a little over fair. Still the right side.

(This game isn't in the sportsbook snapshot feed yet, so this line comes from live search, not the 50-book consensus. One trusted source, read straight from the odds.)

  • Why Minnesota is priced where it is (21%):
  • Minnesota's defense allows 17.3 points per game, and QB Drake Lindsey struggled in the loss to Mississippi State (31-of-48 passing).
  • Minnesota is playing its first road game after three straight home games, traveling to face a Washington defense allowing only 13.3 points per game.
  • Washington's defense has been dominant (13.3 points allowed per game) and Minnesota has yet to face a defense of that caliber.
PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketRead
Washington80%βšͺ FAIR
Minnesota21%βšͺ FAIR

Verdicts compare my own read against the market price β€” 🟒 UNDERPRICED (market has it too low) Β· πŸ”΄ OVERPRICED (market has it too high). The analysis below is the why.

PillarLab

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

πŸ“Š 1. Vegas Line

My Vegas Line reads Washington as a -9.5 favorite with a -395 moneyline (~80% implied), matching the market's 80% price almost exactly.

πŸ“ˆ 2. PillarScore

Washington is 3-0 with a 48-16 win over Eastern Washington and a defense allowing 13.3 points per game, while Minnesota is 2-1 with a 41-7 win over Akron but a 31-of-48 passing day in its loss to Mississippi State.

πŸ₯ 3. Injury Report

No injury, suspension, or lineup information for either Washington or Minnesota is present in the results, so this pillar is neutral.

πŸ“± 4. Reddit Sentiment

No Reddit sentiment data is available for this matchup; the only threads concern other games, so there is no crowd hype to fade.

πŸ”’ 5. Team Stats & Form

Washington's recent form is stronger: 3-0 with a 48-16 win and 13.3 points allowed per game, while Minnesota's 2-1 record includes a loss to Mississippi State where QB Drake Lindsey completed only 31-of-48 passes.

🌀️ 6. Situational Factors

Minnesota is playing its first road game after three straight home games, traveling to Husky Stadium in Seattle, while Washington is home and comfortable.

πŸ”€ 7. Line Movement

No opening-vs-current line movement data is present in the results, so I cannot identify any sharp money signal.

⏰ 8. Time Decay

LOW - No pending injury news or lineup announcements are flagged for this game, so there is little time-decay risk before kickoff.

⚑ 9. Contrarian Check

The main contrarian risk is that Minnesota's defense allows only 17.3 points per game and QB Drake Lindsey has been productive (264, 279, 204 passing yards), so if Washington's offense stalls, the Gophers could keep it closer than the price implies.

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⚠️ Disclaimer: AI can make mistakes. This is not financial advice. Do your own research before placing any trades.

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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.

How it works

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