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Toronto vs Baltimore

Sports Β· Kalshi Β· Called NO, verified WIN Β· Sep 23, 2026
View the original Kalshi market →
Verified Outcome
WIN
PillarLab called Toronto will NOT win (NO @ 26%).
Result: Toronto did not win. The call was correct. Final result: Baltimore won.
Analyzed: Sep 23, 2026, 6:40 PM UTC
Market resolved: Sep 23, 2026, 8:23 PM UTC
Called 2h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxmlbgame/professional-baseball-game/kxmlbgame-26sep221835torbal

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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: Toronto vs Baltimore πŸ“… Date: 2026-09-22T22:35:00.000Z πŸ’° Volume: $1,540,618 Current Odds: β€’ Baltimore: 77% β€’ Toronto: 26%1.1s
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⏳ Step 2: Gathering intelligence (parallel)...
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βœ… Intelligence gathered: Vegas Lines Β· Injury Report Β· Team Stats Β· Reddit Sentiment Β· Candidate Dossiers (case for + case against, every candidate β‰₯2%)5.5s
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🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
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πŸ“Š Market Summary

⚽ Toronto vs Baltimore

Team/PlayerCurrent Odds
Baltimore77%
Toronto26%

2 options total

PillarLab

🎯 Best Trade

  • Action: Toronto β€” NO @ 26%

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

  • Why:

  • Toronto took a 3-0 first-inning lead at Camden Yards on Sept. 21 and out-hit Baltimore 6-6, losing only on a late bullpen crack (Tyler Rogers 0.1 IP, 2 H, 1 ER).
  • Toronto hitters own a .290 xBA and .446 xSLG against probable Baltimore starter Shane Baz (6-15, 4.11 ERA), a favorable matchup the 26% price ignores.
  • Max Scherzer is scheduled for the doubleheader opener, giving Toronto a veteran quality edge over Chris Bassitt in a taxed-bullpen scenario.
  • Toronto is coming off a 7-2 road win at Texas and entered the series with MLB's best record at 63-43 before its recent slide.
PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketRead
Baltimore77%πŸ”΄ OVERPRICED
Toronto26%🟒 UNDERPRICED

Verdicts compare my own read against the market price β€” 🟒 UNDERPRICED (market has it too low) Β· πŸ”΄ OVERPRICED (market has it too high). The analysis below is the why.

PillarLab

πŸ”¬ 9-Pillar Analysis (Sharp Trading Method)

πŸ“Š 1. Vegas Line

My Vegas Line reads this as a near coin-flip game β€” the Sept. 21 meeting was priced Baltimore -112 / Toronto -107 with a 7.5 total, so a 77% price on Baltimore for Sept. 22 is far steeper than the underlying matchup warrants.

πŸ“ˆ 2. PillarScore

Both clubs are sub-.500 and scuffling (Toronto 77-80, Baltimore 76-81), and Baltimore's 'hot' form is really one late-inning rally against a slumping Toronto bullpen, not a sustained run against quality opposition.

πŸ₯ 3. Injury Report

Baltimore is missing Jackson Holliday (10-day IL, wrist, .229/.300/.340) and Keegan Akin (60-day IL, elbow), while Toronto lost Brett Bateman to an in-game injury Sept. 21 and has Trey Yesavage returning from August meniscus surgery.

πŸ“± 4. Reddit Sentiment

Reddit shows no moneyline consensus on this game β€” the only Toronto-Baltimore chatter is a Yesavage strikeout prop β€” so there is no crowd hype to fade in either direction.

πŸ”’ 5. Team Stats & Form

Toronto is coming off a 7-2 road win at Texas and took a 3-0 first-inning lead in Monday's opener, while Baltimore needed a late rally to beat a slumping club and was just shut out 0-3 by Milwaukee.

🌀️ 6. Situational Factors

The Sept. 22 game was postponed by rain into a Wednesday split doubleheader, taxing both bullpens and handing Toronto a veteran edge with Max Scherzer in the opener.

πŸ”€ 7. Line Movement

No opening-vs-current line movement data exists for this specific matchup, and the only comparable price (Sept. 21 at -112/-107) shows no drift toward the 77% level.

⏰ 8. Time Decay

MEDIUM - the rain postponement into a doubleheader and Yesavage's return from meniscus surgery are fresh, unresolved inputs the market may still be absorbing.

⚑ 9. Contrarian Check

The main contrarian risk is that Baltimore's 77% is built on one late rally against a slumping Toronto bullpen, while Toronto's hitters own a .290 xBA/.446 xSLG against probable starter Shane Baz (6-15, 4.11 ERA).

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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.

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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