← Back to Track Record

Hiroshima Toyo Carp vs Yomiuri Giants

Sports Β· Kalshi Β· Called NO, verified LOSS Β· Jul 22, 2026
View the original Kalshi market →
Verified Outcome
LOSS
PillarLab called Hiroshima Toyo Carp will NOT win (NO @ 40%).
Result: Hiroshima Toyo Carp won. The call was wrong.
Analyzed: Jul 22, 2026, 8:52 AM UTC
Market resolved: Jul 22, 2026, 12:30 PM UTC
Called 4h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxnpbgame/japan-npb-game/kxnpbgame-26jul220500hiryom

PillarLab
πŸ“‘ Fetching Kalshi data...
PillarLab
βœ… Got data from Kalshi API!0.6s
PillarLab
πŸ” Step 1: Detecting market type and category...
PillarLab
βœ… Category: ⚽ SPORTS βœ… Type: BINARY πŸ“Š Market: Hiroshima Toyo Carp vs Yomiuri Giants πŸ“… Date: 2026-07-22T09:00:00.000Z πŸ’° Volume: $27,823 Current Odds: β€’ Yomiuri Giants: 62% β€’ Hiroshima Toyo Carp: 40%4.1s
PillarLab
⏳ Step 2: Gathering intelligence (parallel)...
PillarLab
βœ… Intelligence gathered: Vegas Lines Β· Injury Report Β· Team Stats Β· Reddit Sentiment Β· Situational Factors Β· Line Movement Β· Handle Split (Public vs Sharp) Β· Candidate Dossiers (case for + case against, every candidate β‰₯2%)16.0s
PillarLab
🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ Hiroshima Toyo Carp vs Yomiuri Giants

Team/PlayerCurrent Odds
Yomiuri Giants62%
Hiroshima Toyo Carp40%

2 options total

PillarLab

🎯 Best Trade

  • Action: Hiroshima Toyo Carp β€” NO @ 40%

  • Confidence: 🟑 MEDIUM Β· Uncertainty: LOW

  • Why:

  • Lost 2-3 and 2-4 to Hanshin on Jul. 17-18, then 2-7 to SoftBank on Jul. 18.
  • Fell 11-5 to Yomiuri on Jul. 21 in their most recent meeting.
  • No identifiable starting-pitcher advantage in the available data.
  • Losing record on the road this season, now facing Yomiuri at Tokyo Dome.
PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketRead
Yomiuri Giants62%🟒 FAVORED
Hiroshima Toyo Carp40%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 reads Yomiuri Giants as the favorite, aligning with the prediction market's 62%.

πŸ“ˆ 2. Line Movement

Line movement is limited, but sportsbook odds have consistently favored Yomiuri, with one source showing 56% and another 61%, suggesting no significant steam against the Giants.

πŸ₯ 3. Injury Report

No specific injury report available for this NPB game; without confirmed absences, no hard disqualified side from health.

πŸ“± 4. Reddit Sentiment

Reddit chatter from the Jul. 21 game showed Yomiuri winning 11-5, tilting public sentiment toward the Giants, but volume is too low to be a reliable fade indicator.

πŸ”’ 5. Team Stats & Form

Hiroshima enters on a losing note: a 2-7 loss to SoftBank on Jul. 18 and 2-3, 2-4 losses to Hanshin on Jul. 17-18; Yomiuri, despite a 1-5 loss to Chunichi, blew out Hiroshima 11-5 on Jul. 21, showing offensive firepower.

🌀️ 6. Situational Factors

Yomiuri hosts at Tokyo Dome, a clear home advantage; no travel/rest disadvantage identified for either side.

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

Public betting splits are not published for this NPB market; the market price likely reflects the broader consensus without major sharp divergence.

⏰ 8. Time Decay

LOW - No pending injury news or lineup announcements expected; the market has already absorbed the recent Jul. 21 result.

⚑ 9. Contrarian Check

The main contrarian risk is that Hiroshima could bounce back if their ace starts, but without confirmed pitcher information, the market's pricing of Hiroshima at 40% appears justified given their recent form.

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