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Saints vs. Lions

Sports Β· Polymarket Β· Called YES, verified WIN Β· Sep 12, 2026
View the original Polymarket market →
Verified Outcome
WIN
PillarLab called Lions to win (YES @ 74.5%).
Result: Lions won. The call was correct.
Analyzed: Sep 12, 2026, 5:32 PM UTC
Market resolved: Sep 13, 2026, 9:16 PM UTC
Called 28h before resolution. The call was made before the outcome was known.

https://polymarket.com/sports/nfl/nfl-no-det-2026-09-13

PillarLab
πŸ“‘ Fetching Polymarket data...
PillarLab
βœ… Got data from Polymarket API!1.9s
PillarLab
πŸ” Step 1: Detecting market type and category...
PillarLab
βœ… Category: ⚽ SPORTS βœ… Type: BINARY πŸ“Š Market: Saints vs. Lions πŸ“… Date: 2026-09-13T17:00:00Z πŸ’° Volume: $17,842 Current Odds: β€’ Lions: 74.5% β€’ Saints: 25.5%1.2s
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%)4.6s
PillarLab
🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ Saints vs. Lions

Team/PlayerCurrent Odds
Lions74.5%
Saints25.5%

2 options total

PillarLab

🎯 Best Trade

  • Action: Lions β€” YES @ 74.5%

  • Confidence: 🟑 MEDIUM Β· Uncertainty: LOW

  • Why: 26 sharp books price Lions between 72 and 75 (Pinnacle 74, DraftKings 74, FanDuel 74, BetMGM 75, Caesars (WH) 73, Bet365 73, Circa 73, BetRivers 74, Bovada 74, BetOnline 73, LowVig 73, Fanatics 74, Betsson 73, 1xBet 72, Winamax FR 73, kalshi 74, hardrockbet 73, betano_br 74, paddypower 72, polymarket 74, betfair_sb 72, novig 75, betfair_ex 74, dafabet 73, superbet 73, betvictor 73). Consensus, vig removed: 73.3%. The market has Lions at 74.5%. That is the fair price. No discount, but the side is clear.

Line move since our first snapshot: Lions 73.7% to 73.3%. No meaningful move.

  • Why Saints is priced where it is (25.5%):
  • New Orleans is expected to open without RB Alvin Kamara due to an MCL injury, pushing Travis Etienne into a heavy workload and thinning the backfield.
  • The Saints must contain Aidan Hutchinson, who is coming off a career-high 14.5 sacks and second-team All-Pro honors, with no reported offensive-line reinforcements.
  • Detroit's 481 points last season (second-most in franchise history) meets a New Orleans defense with no injury or lineup data suggesting a matchup edge, and the Arizona Republic projects Lions 33-20.

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

BookLionsSaints
Pinnacle73.6% (-322)26.4% (+266)
DraftKings74.2% (-345)25.8% (+270)
FanDuel74% (-334)26% (+270)
BetMGM74.8% (-357)25.2% (+280)
Caesars (WH)72.8% (-323)27.2% (+250)
Bet36573.3% (-323)26.7% (+260)
Circa73.2% (-312)26.8% (+260)
BetRivers73.9% (-345)26.1% (+265)
Bovada73.7% (-333)26.3% (+265)
BetOnline72.7% (-312)27.3% (+252)
LowVig72.7% (-312)27.3% (+252)
Fanatics73.5% (-333)26.5% (+260)
Betsson73% (-333)27% (+251)
1xBet72.3% (-333)27.7% (+240)
Winamax FR72.8% (-345)27.2% (+245)
kalshi74.3% (-303)25.7% (+285)
hardrockbet73.3% (-323)26.7% (+260)
betano_br74.2% (-345)25.8% (+270)
paddypower72.3% (-333)27.7% (+240)
polymarket74.3% (-300)25.7% (+285)
betfair_sb72.3% (-333)27.7% (+240)
novig74.7% (-303)25.3% (+292)
betfair_ex74.4% (-294)25.6% (+290)
dafabet73.1% (-323)26.9% (+256)
superbet72.9% (-312)27.1% (+255)
betvictor73.1% (-345)26.9% (+250)
Consensus, vig removed73.3%26.7%

26 sportsbooks priced this game. Spread across the top 26 on Lions: 2.4 pts (books agree). Best price: Lions -294 at betfair_ex Β· Saints +292 at novig.

PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketBook ConsensusGapVerdict
Lions74.5%73.3%+1.2 ptsβšͺ FAIR PRICE
Saints25.5%26.7%-1.2 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 26 sportsbooks, vig removed: Lions 73.3%, Saints 26.7%. Pinnacle: Lions 73.6%, Saints 26.4%. Spread across the top books on Lions: 2.4 pts (books agree).

πŸ“ˆ 2. Form & Head-to-Head

No recent form log or head-to-head record is given for either team; the only form note is that New Orleans closed 2025 with four wins in its final five games while Detroit finished a disappointing 9-8.

πŸ₯ 3. Injury Report

Detroit enters Week 1 with no injuries or suspensions reported and cleared its Week 1 injury hurdles, while New Orleans is expected to open without RB Alvin Kamara due to an MCL injury, forcing Travis Etienne into a heavy workload.

🧾 4. Starters & Lineups

No announced starting lineups or inactives for this game appear in the intelligence; the only lineup-adjacent note is Detroit naming Tom Kennedy primary punt returner with Jacob Saylors and Sione Vaki in the return/RB2 rotation.

πŸ“° 5. Recent News (48h)

Nothing material in the last 48 hours beyond the Kamara MCL designation and Detroit's clean Week 1 health report.

🌀️ 6. Situational Factors

The game is at Ford Field, giving Detroit home-field advantage, with no rest, travel, or weather concerns noted for either side.

πŸ”€ 7. Line Movement

Since our first snapshot (2026-08-29 18:05 UTC): Lions 73.7% to 73.3%, Saints 26.4% to 26.7%. No meaningful move.

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

LOW - the Kamara MCL designation and Detroit's clean health report are the only fresh items, and both are already reflected in the 73/27 pricing.

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

The main contrarian risk is that Week 1 lines are notoriously unreliable and the spread sits at only 6.5 points, so a Detroit offense still finding its rhythm against a New Orleans team that won four of its last five could keep this closer than the price implies.

PillarLab

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

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9-Pillar Analysis ~30s

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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