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Raiders vs. Jets Prediction (Nov 1)

Sports Β· Polymarket Β· Called NO, not settled yet PENDING Β· Nov 1, 2026
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PENDING
PillarLab called Jets will NOT win (NO @ 53%).
The market has not settled yet. This page updates with the real result automatically, win or loss.
Analyzed: Nov 1, 2026, 5:15 PM UTC

https://polymarket.com/sports/nfl/nfl-lv-nyj-2026-11-01#zRkFwFNP

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πŸ“‘ Fetching Polymarket data...
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βœ… Got data from Polymarket API!0.7s
PillarLab
πŸ” Step 1: Detecting market type and category...
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βœ… Category: ⚽ SPORTS βœ… Type: BINARY πŸ“Š Market: Raiders vs. Jets πŸ“… Date: 2026-11-01T18:00:00Z πŸ’° Volume: $756,583 Current Odds: β€’ Jets: 53.5% β€’ Raiders: 46.5%1.1s
PillarLab
⏳ Step 2: Gathering intelligence (parallel)...
PillarLab
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%)28.2s
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🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ Raiders vs. Jets

Team/PlayerCurrent Odds
Jets53.5%
Raiders46.5%

2 options total

PillarLab

🎯 My Call

Raiders to win

  • Confidence: 🟑 MEDIUM

The Jets are a 2-5 team getting favorite money because the Raiders just lost four in a row, and that's the wrong thing to fade.

πŸ‘‰ Buy Jets NO at 47Β’

My fair price is 56Β’, so that's 10Β’ of edge.

Why NO? It pays $1 if Jets doesn't win. That's the same as backing Raiders.

  • How I'd run it: Normal size, not big, since the Raiders defense is a real problem. I'd add if the Powers-Johnson back issue clears and get out if the offense loses its starting quarterback.
OptionMy priceMarket
Jets44Β’53.5Β’
Raiders56Β’46.5Β’

I set my prices from the research alone, before I saw the market. These are pre-game prices. If the game is already live, the score beats my numbers.

Why

  • The Jets are 2-5 and just lost 28-25 to a Dolphins team that came in winless.
  • Four of the Jets' losses were one-possession games, and their last five are L28-25, L26-19, W17-12, L23-12, L31-24, so they find ways to lose close ones.
  • The Raiders' offense ranks 6th and Cousins leads the league with 16 passing TDs, so they can score on anyone.
  • Vegas is 5-2 against the spread even at 3-4, so they've been better than the record and the market has been slow to price it.
  • What kills it: The Raiders have given up 30+ points in four straight, and if that defense keeps leaking the Jets can win a close one on the run game.

  • What flips me: Cousins ruled out or a confirmed switch to a rookie quarterback would put me on the Jets.

PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketRead
Jets53.5%βšͺ FAIR
Raiders46.5%βšͺ FAIR

Verdicts compare my own read against the market price, 🟒 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 the Jets as slim favorites: spread Jets -1.5 and moneyline roughly 52.6% Jets after vig removal, versus Raiders 47.4%, which lines up closely with the 53.5/46.5 market split.

πŸ“ˆ 2. PillarScore

Raiders' recent form is poor against real competition: a 3-4 record with four straight losses including 35-21, 33-30, 45-17 and 30-27 results, with their only recent win a 35-27 game; Jets are 2-5 with four one-possession losses, so neither side has a convincing recent form edge.

πŸ₯ 3. Injury Report

No confirmed injury or availability report for either team; the only flagged item is Raiders G Jackson Powers-Johnson listed questionable with a back issue, and the Raiders QB starter question (Cousins vs Mendoza) is unresolved.

πŸ“± 4. Reddit Sentiment

Reddit sentiment is unavailable for this matchup; the threads found discuss the Raiders' loss to the Rams and do not carry a pick on this game.

🧠 Off the Record

No framework. Just what I actually think.

The crowd sees four straight losses and a team in free fall. I see a 2-5 Jets team that lost to the Dolphins when they were winless. Nobody should be laying points with that team on the road or anywhere else.

The Raiders' losses are ugly, but they've been close in some. Two of them were three-point home losses to KC and Buffalo. That's not a broken team, that's a team losing to good opponents. Meanwhile the Jets are losing to bad ones.

The angle I like is the spread record. Vegas is 5-2 against the number, and the Jets are 4-2-1, so both are covering. But the Jets are only covering because the lines have been low, and now they're asked to be favorites.

My one worry is that Raiders defense giving up 30 a night. That's real, and it keeps me from going big.

My move: I'm buying the Raiders at a normal size. The number is wrong by a few points of win probability, and I'll take the better offense in a coin flip.

πŸ”’ 5. Team Stats & Form

Raiders have lost four straight and allowed 30+ points in each of those games, while Jets' recent losses have been by one possession in several cases, so both sides are fragile but the Raiders' defensive leakage is the sharper concern.

🌀️ 6. Situational Factors

Raiders travel to face the Jets as the road side with a short-week-neutral schedule and no venue-specific data; situational edge is modest and not clearly documented.

πŸ”€ 7. Line Movement

No opening line is available, so line movement cannot be determined; current prices show no visible drift from the spread and moneyline cited.

⏰ 8. Time Decay

LOW - no injury or lineup news is pending beyond the questionable G Powers-Johnson and the QB starter debate, which could resolve before kickoff.

⚑ 9. Contrarian Check

Raiders' three wins came against a combined 3-16 opponent group and their four-game skid may reflect defensive breakdowns; the Jets' four one-possession losses suggest they could flip the result on close-game variance.

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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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9-Pillar Analysis ~30s

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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