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Los Angeles Dodgers vs. New York Yankees

Sports Β· Polymarket Β· Called NO, verified LOSS Β· Jul 19, 2026
View the original Polymarket market →
Verified Outcome
LOSS
PillarLab called New York Yankees will NOT win (NO @ 43.5%).
Result: New York Yankees won. The call was wrong.
Analyzed: Jul 19, 2026, 10:43 PM UTC
Market resolved: Jul 20, 2026, 2:30 AM UTC
Called 4h before resolution. The call was made before the outcome was known.

https://polymarket.com/sports/mlb/mlb-lad-nyy-2026-07-19

PillarLab
πŸ“‘ Fetching Polymarket data...
PillarLab
βœ… Got data from Polymarket API!1.0s
PillarLab
πŸ” Step 1: Detecting market type and category...
PillarLab
βœ… Category: ⚽ SPORTS βœ… Type: BINARY πŸ“Š Market: Los Angeles Dodgers vs. New York Yankees πŸ“… Date: 2026-07-26T23:20:00Z πŸ’° Volume: $192,421 Current Odds: β€’ Los Angeles Dodgers: 56.5% β€’ New York Yankees: 43.5%3.6s
PillarLab
⏳ Step 2: Gathering intelligence (parallel)...
PillarLab
βœ… Intelligence gathered: Team Stats Β· Vegas Lines Β· Injury Report Β· Line Movement Β· Reddit Sentiment Β· Situational Factors Β· Handle Split (Public vs Sharp) Β· Candidate Dossiers (case for + case against, every candidate β‰₯2%)0.0s
PillarLab
🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ Los Angeles Dodgers vs. New York Yankees

Team/PlayerCurrent Odds
Los Angeles Dodgers56.5%
New York Yankees43.5%

2 options total

PillarLab

🎯 Best Trade

  • Action: New York Yankees β€” NO @ 43.5%

  • Confidence: 🟑 MEDIUM Β· Uncertainty: MEDIUM

  • Why:

  • Aaron Judge out with a fractured right rib, not cleared for baseball activities as of July 18
  • Lost the earlier game in the series 2-1, showing difficulty against Dodgers pitching
  • Market pricing reflects just 43.5% despite home field, as betting handle heavily favors Los Angeles
PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketRead
Los Angeles Dodgers56.5%🟒 FAVORED
New York Yankees43.5%πŸ”΄ TRAILING

I price with the market β€” 🟒 favored Β· πŸ”΄ trailing. The analysis below is the why.

PillarLab

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

πŸ“Š 1. Vegas Line

My Vegas Line has Dodgers around -125 (55.6%) and Yankees around +104 (49.0% before vig), closely aligning with the market's 56.5% for Dodgers.

πŸ“ˆ 2. Line Movement

The line moved from a pick'em opener to Dodgers -125, with continued steam toward Los Angeles throughout the week.

πŸ₯ 3. Injury Report

Yankees star Aaron Judge remains not cleared for baseball activities as of July 18 after re-imaging of a fractured right rib, severely weakening their lineup.

πŸ“± 4. Reddit Sentiment

Reddit sentiment leaned Dodgers (64% of guessers), with Yankees fans expressing frustration and acknowledging the Dodgers' edge.

πŸ”’ 5. Team Stats & Form

The Dodgers entered at 62-36 and won the previous game 2-1, while the Yankees (54-43) lost that game and have struggled offensively without Judge.

🌀️ 6. Situational Factors

The game is at Yankee Stadium in a split doubleheader after Saturday's postponement, giving the Yankees home-field advantage but also a condensed schedule.

πŸ’° 7. Handle Split (Public vs Sharp)

DraftKings splits show 74% of moneyline bets on Dodgers but 92% of handle, and 97% of run-line handle on Dodgers -1.5, indicating heavy smart/public money backing Los Angeles.

⏰ 8. Time Decay

MEDIUM - Judge's injury is already priced, but the line has moved consistently; no major new news expected before first pitch.

⚑ 9. Contrarian Check

The main contrarian risk is Yankees starter Cam Schlittler (2.05 ERA, 1.84 in July) and home-field advantage in a split doubleheader, but these are outweighed by Judge's absence and Dodgers' market steam.

PillarLab

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

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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.

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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