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Los Angeles D vs Cincinnati

Sports Β· Kalshi Β· Called YES, verified WIN Β· Sep 15, 2026
View the original Kalshi market →
Verified Outcome
WIN
PillarLab called Los Angeles D to win (YES @ 69%).
Result: Los Angeles D won. The call was correct. Final result: Los Angeles D won.
Analyzed: Sep 15, 2026, 9:33 PM UTC
Market resolved: Sep 16, 2026, 1:13 AM UTC
Called 4h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxmlbgame/los-angeles-d-vs-cincinnati/KXMLBGAME-26SEP151840LADCIN?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: BINARY πŸ“Š Market: Los Angeles D vs Cincinnati πŸ“… Date: 2026-09-15T22:40:00.000Z πŸ’° Volume: $429,255 Current Odds: β€’ Los Angeles D: 69% β€’ Cincinnati: 32%1.1s
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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%)5.2s
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🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
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πŸ“Š Market Summary

⚽ Los Angeles D vs Cincinnati

Team/PlayerCurrent Odds
Los Angeles D69%
Cincinnati32%

2 options total

PillarLab

🎯 Best Trade

  • Action: Los Angeles D β€” YES @ 69%

  • Confidence: πŸ”΄ LOW Β· Uncertainty: LOW

  • Why: Cincinnati sits at its low price because it is a 70-79 team 11 games out of the final NL Wild Card spot with 13 games left, facing a 90-59 Dodgers side that already clinched a playoff berth and swept its prior series. The Reds lost the Sept. 7 opener 6-3 at Dodger Stadium, and their starter in that matchup carried a 4-8 record with a 5.29 ERA and 1.29 WHIP against a Dodgers right-hander who was 15-3 with a 2.79 ERA. Cincinnati's only real positive is a 2-1 weekend series win over Milwaukee and a brief 1-0 first-inning lead in the opener, but that is not enough to move the price against a superior Dodgers team at home.

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
Pinnacle68.1% (-229)31.9% (+206)
DraftKings68% (-250)32% (+198)
FanDuel67.8% (-240)32.2% (+198)
BetMGM67.5% (-238)32.5% (+195)
Caesars (WH)68.5% (-250)31.5% (+205)
Bet36568.2% (-250)31.8% (+200)
Circa67.9% (-227)32.1% (+205)
BetRivers67% (-233)33% (+190)
Bovada68% (-244)32% (+200)
BetOnline68.2% (-233)31.8% (+206)
LowVig68.2% (-233)31.8% (+206)
Betway67.8% (-235)32.2% (+200)
Fanatics68% (-244)32% (+200)
Coolbet67.5% (-244)32.5% (+193)
1xBet67.4% (-244)32.6% (+191)
Winamax FR67.1% (-250)32.9% (+185)
kalshi68.3% (-222)31.7% (+213)
hardrockbet68.2% (-250)31.8% (+200)
sbobet67.1% (-244)32.9% (+188)
betano_br67.3% (-238)32.7% (+192)
paddypower66% (-227)34% (+180)
polymarket68.3% (-223)31.7% (+212)
betfair_sb66.7% (-227)33.3% (+188)
betfair_ex68.3% (-217)31.7% (+215)
novig68.6% (-222)31.4% (+217)
dafabet67.2% (-244)32.8% (+189)
superbet68.5% (-250)31.5% (+205)
betvictor68.2% (-250)31.8% (+200)
Consensus, vig removed68%32%

28 sportsbooks priced this game. Spread across the top 28 on Los Angeles D: 1.8 pts (books agree). Best price: Los Angeles D -217 at betfair_ex Β· Cincinnati +217 at novig.

PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketBook ConsensusGapVerdict
Los Angeles D69%68%+1 ptsβšͺ FAIR PRICE
CincinnatiNaN%32%NaN 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 28 sportsbooks, vig removed: Los Angeles D 68%, Cincinnati 32%. Pinnacle: Los Angeles D 68.1%, Cincinnati 31.9%. Spread across the top books on Los Angeles D: 1.8 pts (books agree).

πŸ“ˆ 2. Form & Head-to-Head

Los Angeles D is 90-59 and swept Washington in its prior series, while Cincinnati is 70-79 and coming off a 4-3 road win over Milwaukee on Sunday.

πŸ₯ 3. Injury Report

A series preview headline references injuries and probables for Dodgers vs Reds, but no specific named injuries, suspensions, or lineup statuses for either side appear in the scraped text.

🧾 4. Starters & Lineups

No announced starting pitchers or lineups for this specific game appear in the intelligence, so I cannot say whether that was announced before or after the last line move.

πŸ“° 5. Recent News (48h)

Nothing material in the last 48 hours beyond the Dodgers' recent series results and the Reds' weekend win over Milwaukee.

🌀️ 6. Situational Factors

This is a home game for Los Angeles D, with Cincinnati traveling to Dodger Stadium; no rest or back-to-back concerns are noted for either side.

πŸ”€ 7. Line Movement

Since our first snapshot (2026-09-13 00:05 UTC): Los Angeles D 65.7% to 68%, Cincinnati 34.3% to 32%. Money moved toward Los Angeles D.

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

LOW - no named late scratch, starter change, or suspension dated after the last line move appears in the intelligence.

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

The main contrarian risk is that Cincinnati has shown it can hang with Los Angeles D early in games, as it led 1-0 in the first inning of the Sept. 7 opener before losing 6-3, and the Reds just took a weekend series from Milwaukee.

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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