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Cincinnati vs Los Angeles D

Sports Β· Kalshi Β· Called YES, verified WIN Β· Sep 9, 2026
View the original Kalshi market →
Verified Outcome
WIN
PillarLab called Los Angeles D to win (YES @ 73%).
Result: Los Angeles D won. The call was correct. Final result: Los Angeles D won.
Analyzed: Sep 9, 2026, 11:52 PM UTC
Market resolved: Sep 10, 2026, 4:57 AM UTC
Called 5h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxmlbgame/cincinnati-vs-los-angeles-d/KXMLBGAME-26SEP092210CINLAD?utm_source=kalshiapp_eventdetails

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πŸ“‘ Fetching Kalshi data...
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βœ… Got data from Kalshi API!0.8s
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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: Cincinnati vs Los Angeles D πŸ“… Date: 2026-09-10T02:10:00.000Z πŸ’° Volume: $145,905 Current Odds: β€’ Los Angeles D: 73% β€’ Cincinnati: 28%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%)6.7s
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🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ Cincinnati vs Los Angeles D

Team/PlayerCurrent Odds
Los Angeles D73%
Cincinnati28%

2 options total

PillarLab

🎯 Best Trade

  • Action: Los Angeles D β€” YES @ 73%

  • Confidence: 🟑 MEDIUM Β· Uncertainty: LOW

  • Why: 27 sharp books price Los Angeles D between 70 and 72 (Pinnacle 71, DraftKings 71, FanDuel 72, BetMGM 71, Caesars (WH) 71, Bet365 71, Circa 71, BetRivers 71, Bovada 71, BetOnline 71, LowVig 71, Betway 70, Fanatics 71, Coolbet 71, 1xBet 71, Winamax FR 70, kalshi 72, sbobet 70, betano_br 71, hardrockbet 72, paddypower 70, polymarket 72, betfair_ex 72, novig 72, dafabet 70, superbet 72, betvictor 70). Consensus, vig removed: 71.3%. The market has Los Angeles D at 73%. That is the fair price. No discount, but the side is clear.

Line move since our first snapshot: Los Angeles D 69.3% to 71.3%. Money moved toward Los Angeles D.

  • Why Cincinnati is priced where it is (28%):
  • 69-75 record, well below .500.
  • Scheduled starter Nick Lodolo has a 5.08 ERA.
  • Lost the latest meeting 3-2 despite Elly De La Cruz's hot streak.

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 DCincinnati
Pinnacle71.2% (-268)28.8% (+239)
DraftKings71.2% (-294)28.8% (+232)
FanDuel71.7% (-295)28.3% (+240)
BetMGM71.1% (-294)28.9% (+230)
Caesars (WH)71.4% (-294)28.6% (+235)
Bet36571.4% (-294)28.6% (+235)
Circa71.3% (-270)28.7% (+241)
BetRivers70.5% (-278)29.5% (+225)
Bovada71.4% (-294)28.6% (+235)
BetOnline71.4% (-270)28.6% (+242)
LowVig71.4% (-270)28.6% (+242)
Betway70.1% (-260)29.9% (+225)
Fanatics71% (-286)29% (+230)
Coolbet71.1% (-294)28.9% (+230)
1xBet71.3% (-303)28.7% (+230)
Winamax FR69.8% (-294)30.2% (+210)
kalshi72.3% (-270)27.7% (+257)
sbobet70% (-312)30% (+208)
betano_br71% (-286)29% (+230)
hardrockbet71.9% (-303)28.1% (+240)
paddypower70.2% (-278)29.8% (+220)
polymarket72.3% (-270)27.7% (+257)
betfair_ex71.7% (-263)28.3% (+250)
novig72.1% (-263)27.9% (+257)
dafabet70.1% (-286)29.9% (+217)
superbet72% (-294)28% (+245)
betvictor70.2% (-303)29.8% (+213)
Consensus, vig removed71.3%28.7%

27 sportsbooks priced this game. Spread across the top 27 on Los Angeles D: 2.3 pts (books agree). Best price: Los Angeles D -260 at Betway Β· Cincinnati +257 at kalshi.

PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketBook ConsensusGapVerdict
Los Angeles D73%71.3%+1.7 ptsβšͺ FAIR PRICE
Cincinnati28%28.7%-0.7 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 27 sportsbooks, vig removed: Los Angeles D 71.3%, Cincinnati 28.7%. Pinnacle: Los Angeles D 71.2%, Cincinnati 28.8%. Spread across the top books on Los Angeles D: 2.3 pts (books agree).

πŸ“ˆ 2. Form & Head-to-Head

Los Angeles D has won six straight, including a 3-2 win over Cincinnati on Sept 8, while Cincinnati won the opener 6-3 on Sept 7 but lost the latest meeting.

πŸ₯ 3. Injury Report

No specific injury report is available for this matchup; Shohei Ohtani sat out Sept 8 due to multiple injuries and went 0-for-3 with two strikeouts in his Sept 7 return.

🧾 4. Starters & Lineups

No announced starting lineups are available for this game; Tarik Skubal started for LA on Sept 8 and Nick Lodolo is scheduled to start Tuesday.

πŸ“° 5. Recent News (48h)

Nothing material in the last 48 hours beyond the teams' recent results and Ohtani's injury status.

🌀️ 6. Situational Factors

Los Angeles D is at home, having won six straight, while Cincinnati is on the road and below .500 at 69-75.

πŸ”€ 7. Line Movement

Since our first snapshot (2026-09-08 04:05 UTC): Los Angeles D 69.3% to 71.3%, Cincinnati 30.7% to 28.7%. 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

Cincinnati sits at 28% because they are 69-75, their scheduled starter Nick Lodolo has a 5.08 ERA, and they face a Dodgers team that has won six straight and held them to two runs in the latest meeting.

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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