← Back to Track Record

DET Lions vs BUF Bills

Sports Β· Kalshi Β· Called YES, verified WIN Β· Sep 17, 2026
View the original Kalshi market →
Verified Outcome
WIN
PillarLab called Buffalo to win (YES @ 70%).
Result: Buffalo won. The call was correct. Final result: Buffalo won.
Analyzed: Sep 17, 2026, 11:05 PM UTC
Market resolved: Sep 18, 2026, 3:34 AM UTC
Called 4h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxnflgame/det-lions-vs-buf-bills/KXNFLGAME-26SEP17DETBUF?utm_source=kalshiapp_eventdetails

PillarLab
πŸ“‘ Fetching Kalshi data...
PillarLab
βœ… Got data from Kalshi API!0.8s
PillarLab
πŸ” Step 1: Detecting market type and category...
PillarLab
βœ… Category: ⚽ SPORTS βœ… Type: MULTI_CANDIDATE πŸ“Š Market: DET Lions vs BUF Bills πŸ“… Date: 2026-09-18T03:15:00.000Z πŸ’° Volume: $6,617,193 Current Odds: β€’ Buffalo: 70% β€’ Detroit: 31%0.9s
PillarLab
⏳ Step 2: Gathering intelligence (parallel)...
PillarLab
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%)4.8s
PillarLab
🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ DET Lions vs BUF Bills

Team/PlayerCurrent Odds
Buffalo70%
Detroit31%

2 options total

PillarLab

🎯 Best Trade

  • Action: Buffalo β€” YES @ 70%

  • Confidence: 🟑 MEDIUM Β· Uncertainty: LOW

  • Why: 25 sharp books price Buffalo between 67 and 69 (Pinnacle 69, DraftKings 68, FanDuel 69, BetMGM 69, Caesars (WH) 68, Bet365 69, Circa 69, BetRivers 67, Bovada 69, BetOnline 69, LowVig 69, Betway 68, Fanatics 68, Betsson 68, 1xBet 69, Winamax FR 68, hardrockbet 68, paddypower 68, polymarket 69, betfair_sb 67, betfair_ex 70, novig 69, dafabet 69, superbet 68, betvictor 68). Consensus, vig removed: 68.5%. The market has Buffalo at 70%. That is the fair price. No discount, but the side is clear.

Line move since our first snapshot: Buffalo 59.4% to 68.5%. Money moved toward Buffalo.

  • Why Detroit is priced where it is (31%):
  • Detroit's offensive line is missing starting RT Blake Miller and LG Christian Mahogany for Thursday's game, weakening protection against a Buffalo front.
  • The Lions' secondary is compromised with safeties Kerby Joseph and Brian Branch injured, and they now face Josh Allen, who threw for 334 yards and two TDs with no INTs in Week 1.
  • Detroit blew a 21-point lead and needed overtime to beat New Orleans 31-30, failing to cover the spread, while Buffalo won 37-31 at Houston and covered.

πŸ“ What would change this call: if the market drops Buffalo 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.

BookBuffaloDetroit
Pinnacle68.7% (-240)31.3% (+211)
DraftKings68.2% (-250)31.8% (+200)
FanDuel68.5% (-250)31.5% (+205)
BetMGM69% (-256)31% (+210)
Caesars (WH)68.4% (-244)31.6% (+205)
Bet36568.5% (-250)31.5% (+205)
Circa68.7% (-244)31.3% (+210)
BetRivers67.3% (-244)32.7% (+190)
Bovada68.9% (-250)31.1% (+210)
BetOnline68.8% (-250)31.2% (+209)
LowVig68.8% (-250)31.2% (+209)
Betway68.4% (-260)31.6% (+200)
Fanatics68% (-244)32% (+200)
Betsson68.3% (-256)31.7% (+200)
1xBet68.6% (-260)31.4% (+202)
Winamax FR68.1% (-263)31.9% (+195)
hardrockbet68.2% (-250)31.8% (+200)
paddypower68.2% (-250)31.8% (+200)
polymarket69.3% (-233)30.7% (+223)
betfair_sb67.3% (-250)32.7% (+188)
betfair_ex69.5% (-233)30.5% (+225)
novig69.2% (-227)30.8% (+223)
dafabet68.6% (-256)31.4% (+204)
superbet68.4% (-244)31.6% (+205)
betvictor68.2% (-250)31.8% (+200)
Consensus, vig removed68.5%31.5%

25 sportsbooks priced this game. Spread across the top 25 on Buffalo: 2 pts (books agree). Best price: Buffalo -227 at novig Β· Detroit +225 at betfair_ex.

PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketBook ConsensusGapVerdict
Buffalo70%68.5%+1.5 ptsβšͺ FAIR PRICE
Detroit31%31.5%-0.5 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 25 sportsbooks, vig removed: Buffalo 68.5%, Detroit 31.5%. Pinnacle: Buffalo 68.7%, Detroit 31.3%. Spread across the top books on Buffalo: 2 pts (books agree).

πŸ“ˆ 2. Form & Head-to-Head

Both teams are 1-0: Buffalo won 37-31 at Houston while Detroit needed overtime to beat New Orleans 31-30, and Detroit failed to cover while Buffalo covered.

πŸ₯ 3. Injury Report

Buffalo lists six players on the injury report with RB Ty Johnson (hamstring) questionable, while Detroit is without starting RT Blake Miller and LG Christian Mahogany for Thursday's game.

🧾 4. Starters & Lineups

No formal starting lineups or inactives have been announced for this Thursday game yet, so the only confirmed lineup news is Detroit's two offensive-line absences.

πŸ“° 5. Recent News (48h)

Nothing material in the last 48 hours beyond the short-week injury designations already reflected in the line.

🌀️ 6. Situational Factors

Detroit travels on a short week with two starting offensive linemen out, while Buffalo comes off a road win and faces a Lions secondary missing safeties Kerby Joseph and Brian Branch.

πŸ”€ 7. Line Movement

Since our first snapshot (2026-09-04 00:05 UTC): Buffalo 59.4% to 68.5%, Detroit 40.6% to 31.5%. Money moved toward Buffalo.

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

LOW - the only fresh items are the Thursday injury designations for Detroit's offensive line, which the line has already absorbed in its move toward Buffalo.

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

The main contrarian risk is that Detroit's offense (Gibbs 156 rushing yards and two scores, Goff 206 yards and two TDs with no INTs) can exploit a Buffalo defense that just allowed 31 points to Houston, keeping the game close enough to flip the result.

PillarLab

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

Stop guessing. See the edge.

Paste any Kalshi or Polymarket market. PillarLab runs a full 9-pillar analysis and hands you a Best Trade call in about 30 seconds.

Free to start Β· 10 credits Β· no card

PillarLab AI is an AI prediction-market analyzer that runs a 9-pillar analysis on Kalshi and Polymarket markets and publishes a public, settlement-verified track record of its decisive calls.

PillarLab AI
PillarLab
9-Pillar Analysis ~30s

#1 AI-Powered Prediction Market Analyzer Tool for Kalshi & Polymarket

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