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Washington vs Los Angeles D

Sports Β· Kalshi Β· Called YES, verified WIN Β· Sep 4, 2026
View the original Kalshi market →
Verified Outcome
WIN
PillarLab called Los Angeles D to win (YES @ 72%).
Result: Los Angeles D won. The call was correct. Final result: Los Angeles D won.
Analyzed: Sep 4, 2026, 10:54 PM UTC
Market resolved: Sep 5, 2026, 4:57 AM UTC
Called 6h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxmlbgame/washington-vs-los-angeles-d/KXMLBGAME-26SEP042210WSHLAD?utm_source=kalshiapp_eventdetails

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πŸ“‘ Fetching Kalshi data...
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βœ… Got data from Kalshi API!0.5s
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πŸ” Step 1: Detecting market type and category...
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βœ… Category: ⚽ SPORTS βœ… Type: MULTI_CANDIDATE πŸ“Š Market: Washington vs Los Angeles D πŸ“… Date: 2026-09-05T02:10:00.000Z πŸ’° Volume: $140,134 Current Odds: β€’ Los Angeles D: 72% β€’ Washington: 29%1.0s
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⏳ Step 2: Gathering intelligence (parallel)...
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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%)10.3s
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🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ Washington vs Los Angeles D

Team/PlayerCurrent Odds
Los Angeles D72%
Washington29%

2 options total

PillarLab

🎯 Best Trade

  • Action: Los Angeles D β€” YES @ 72%

  • Confidence: 🟑 MEDIUM Β· Uncertainty: LOW

  • Why: 30 sharp books price Los Angeles D between 70 and 73 (Pinnacle 72, DraftKings 71, FanDuel 70, BetMGM 71, Caesars (WH) 72, Betfair 71, BetRivers 73, Bovada 72, BetOnline 71, LowVig 71, Marathonbet 71, Unibet FR 70, Unibet NL 73, Unibet SE 73, 888sport 71, Fanatics 71, BetAnySports 72, Betclic 70, Betsson 70, BetUS 71, Coolbet 71, GTbets 70, LeoVegas 73, Matchbook 71, MyBookie 71, NordicBet 70, 1xBet 72, Tipico 71, Winamax 70, Winamax FR 70). Consensus, vig removed: 70.9%. The market has Los Angeles D at 72%. That is the fair price. No discount, but the side is clear.

Line move since our first snapshot: Los Angeles D 72.2% to 70.9%. Money moved toward Washington.

  • Why Washington is priced where it is (29%):
  • Washington trails the season series 5-10 in their last 15 games vs. Los Angeles, batting just .234 as a team.
  • No recent Washington-specific form, lineup, or matchup advantages appear in the supplied results.
  • Washington faces a hot, deep Dodgers club with no cited counter-strengths.

πŸ“ What would change this call: if the market drops Los Angeles D 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.

BookLos Angeles DWashington
Pinnacle72.2% (-282)27.8% (+251)
DraftKings71% (-288)29% (+230)
FanDuel70% (-270)30% (+220)
BetMGM70.6% (-285)29.4% (+225)
Caesars (WH)72.2% (-290)27.8% (+250)
Betfair70.8% (-250)29.2% (+240)
BetRivers73.2% (-315)26.8% (+260)
Bovada72.2% (-305)27.8% (+245)
BetOnline70.9% (-265)29.1% (+236)
LowVig70.9% (-265)29.1% (+236)
Marathonbet71.2% (-300)28.8% (+230)
Unibet FR69.7% (-286)30.3% (+210)
Unibet NL73.2% (-315)26.8% (+260)
Unibet SE73.2% (-315)26.8% (+260)
888sport70.9% (-300)29.1% (+225)
Fanatics70.5% (-280)29.5% (+225)
BetAnySports71.8% (-300)28.2% (+240)
Betclic69.7% (-286)30.3% (+210)
Betsson69.8% (-278)30.2% (+214)
BetUS70.7% (-270)29.3% (+230)
Coolbet71.1% (-294)28.9% (+230)
GTbets70.2% (-265)29.8% (+225)
LeoVegas73.2% (-335)26.8% (+255)
Matchbook70.8% (-250)29.2% (+240)
MyBookie70.9% (-280)29.1% (+230)
NordicBet69.8% (-278)30.2% (+214)
1xBet71.7% (-273)28.3% (+246)
Tipico70.6% (-303)29.4% (+220)
Winamax69.8% (-278)30.2% (+215)
Winamax FR69.7% (-286)30.3% (+210)
Consensus, vig removed70.9%29.1%

30 sportsbooks priced this game. Spread across the top 30 on Los Angeles D: 3.5 pts (books agree). Best price: Los Angeles D -250 at Betfair Β· Washington +260 at BetRivers.

PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketBook ConsensusGapVerdict
Los Angeles D72%70.9%+1.1 ptsβšͺ FAIR PRICE
Washington29%29.1%-0.1 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 30 sportsbooks, vig removed: Los Angeles D 70.9%, Washington 29.1%. Pinnacle: Los Angeles D 72.2%, Washington 27.8%. Spread across the top books on Los Angeles D: 3.5 pts (books agree).

πŸ“ˆ 2. Form & Head-to-Head

Washington trails the season series 5-10 against Los Angeles, and the Dodgers are coming off a walk-off win over St. Louis on 09/04/2026.

πŸ₯ 3. Injury Report

Shohei Ohtani is not in the Dodgers lineup due to lingering biceps and neck issues, and he had an 0-4 outing; no injury information for Washington is provided.

🧾 4. Starters & Lineups

No announced starting lineups for this game are available in the intelligence.

πŸ“° 5. Recent News (48h)

Nothing material in the last 48 hours beyond the Ohtani lineup absence and the Dodgers' recent walk-off win.

🌀️ 6. Situational Factors

Los Angeles is at home and is a massive home favorite, with no noted travel or rest disadvantages for either side.

πŸ”€ 7. Line Movement

Since our first snapshot (2026-09-04 02:05 UTC): Los Angeles D 72.2% to 70.9%, Washington 27.8% to 29.1%. Money moved toward Washington.

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

LOW - The Ohtani lineup absence is dated 09/04/2026, but the line movement already reflects a shift toward Washington, so it appears priced in.

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

Washington sits at 29% because they trail the season series 5-10, bat just .234 as a team, and face a deep, hot Dodgers club with no cited counter-strengths.

PillarLab

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

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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