← Back to Track Record

St. Louis vs Los Angeles D

Sports Β· Kalshi Β· Called YES, verified LOSS Β· Sep 2, 2026
View the original Kalshi market →
Verified Outcome
LOSS
PillarLab called Los Angeles D to win (YES @ 70%).
Result: Los Angeles D did not win. The call was wrong.
Analyzed: Sep 2, 2026, 3:47 PM UTC
Market resolved: Sep 3, 2026, 5:27 AM UTC
Called 14h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxmlbgame/st-louis-vs-los-angeles-d/KXMLBGAME-26SEP022210STLLAD?utm_source=kalshiapp_eventdetails

PillarLab
πŸ“‘ Fetching Kalshi data...
PillarLab
βœ… Got data from Kalshi API!0.5s
PillarLab
πŸ” Step 1: Detecting market type and category...
PillarLab
βœ… Category: ⚽ SPORTS βœ… Type: MULTI_CANDIDATE πŸ“Š Market: St. Louis vs Los Angeles D πŸ“… Date: 2026-09-03T02:10:00.000Z πŸ’° Volume: $77,009 Current Odds: β€’ Los Angeles D: 70% β€’ St. Louis: 31%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%)16.9s
PillarLab
🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ St. Louis vs Los Angeles D

Team/PlayerCurrent Odds
Los Angeles D70%
St. Louis31%

2 options total

PillarLab

🎯 Best Trade

  • Action: Los Angeles D β€” YES @ 70%

  • Confidence: 🟑 MEDIUM Β· Uncertainty: LOW

  • Why: 25 sharp books price Los Angeles D between 67 and 69 (Pinnacle 69, DraftKings 69, FanDuel 69, BetMGM 67, Caesars (WH) 70, Betfair 69, BetRivers 69, Bovada 69, Marathonbet 68, Unibet FR 68, Unibet NL 69, Unibet SE 69, 888sport 68, Fanatics 68, Betclic 68, Betsson 68, Coolbet 68, LeoVegas 68, Matchbook 69, MyBookie 69, NordicBet 68, 1xBet 68, Tipico 69, Winamax 68, Winamax FR 67). Consensus, vig removed: 68.2%. The market has Los Angeles D at 70%. That is the fair price. No discount, but the side is clear.

Line move since our first snapshot: Los Angeles D 66% to 68.2%. Money moved toward Los Angeles D.

  • Why St. Louis is priced where it is (31%):
  • St. Louis has a worse overall record (18-13) and a losing home record (7-8).
  • Their scheduled starter Michael McGreevy is 5-9 with a 3.86 ERA, and they are using a bullpen game on Sept. 2, which risks pitching instability.
  • Their bullpen has a 4.22 ERA over the past 7 days, significantly worse than the Dodgers' 1.57.

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 DSt. Louis
Pinnacle68.9% (-238)31.1% (+214)
DraftKings68.9% (-258)31.1% (+208)
FanDuel68.5% (-250)31.5% (+205)
BetMGM67.4% (-235)32.6% (+195)
Caesars (WH)69.6% (-250)30.4% (+220)
Betfair69% (-227)31% (+220)
BetRivers68.5% (-250)31.5% (+205)
Bovada68.5% (-250)31.5% (+205)
Marathonbet67.8% (-250)32.2% (+195)
Unibet FR67.5% (-270)32.5% (+185)
Unibet NL68.5% (-250)31.5% (+205)
Unibet SE68.5% (-250)31.5% (+205)
888sport67.8% (-250)32.2% (+195)
Fanatics68.1% (-245)31.9% (+200)
Betclic68% (-256)32% (+195)
Betsson67.8% (-250)32.2% (+195)
Coolbet68.2% (-250)31.8% (+200)
LeoVegas68.2% (-250)31.8% (+200)
Matchbook69% (-227)31% (+220)
MyBookie69% (-255)31% (+210)
NordicBet67.8% (-250)32.2% (+195)
1xBet67.9% (-226)32.1% (+205)
Tipico68.6% (-270)31.4% (+200)
Winamax67.8% (-250)32.2% (+195)
Winamax FR67.1% (-270)32.9% (+180)
Consensus, vig removed68.2%31.8%

25 sportsbooks priced this game. Spread across the top 25 on Los Angeles D: 1.6 pts (books agree). Best price: Los Angeles D -226 at 1xBet Β· St. Louis +220 at Caesars (WH).

PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketBook ConsensusGapVerdict
Los Angeles D70%68.2%+1.8 ptsβšͺ FAIR PRICE
St. Louis31%31.8%-0.8 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: Los Angeles D 68.2%, St. Louis 31.8%. Pinnacle: Los Angeles D 68.9%, St. Louis 31.1%. Spread across the top books on Los Angeles D: 1.6 pts (books agree).

πŸ“ˆ 2. Form & Head-to-Head

St. Louis won the most recent meeting 13-8 on Sept. 1, 2026, but Los Angeles won the prior matchup 4-1 on May 3, 2026.

πŸ₯ 3. Injury Report

No specific injuries or suspensions are named for either team; one result implies the Dodgers have more injury issues, but no players are listed.

🧾 4. Starters & Lineups

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

πŸ“° 5. Recent News (48h)

Nothing material in the last 48 hours beyond the Sept. 1 result and the Dodgers' bullpen-game plan for Sept. 2.

🌀️ 6. Situational Factors

Los Angeles is on the road; St. Louis is at home, with the Cardinals holding a 7-8 home record and the Dodgers an 8-5 road record.

πŸ”€ 7. Line Movement

Since our first snapshot (2026-09-02 02:05 UTC): Los Angeles D 66% to 68.2%, St. Louis 34% to 31.8%. Money moved toward Los Angeles D.

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

LOW - No late scratches or starter changes dated after the last line move are present in the intelligence.

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

St. Louis sits at 31% because they are the weaker overall team (18-13 vs 20-11), have a worse home record (7-8) than the Dodgers' road record (8-5), and their scheduled starter Michael McGreevy is 5-9 with a 3.86 ERA, while the Dodgers' bullpen has been strong recently (1.57 ERA over the past 7 days vs St. Louis's 4.22).

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