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New England vs Houston

Sports Β· Kalshi Β· Called YES, verified WIN Β· Aug 8, 2026
View the original Kalshi market →
Verified Outcome
WIN
PillarLab called Houston to win (YES @ 60%).
Result: Houston won. The call was correct.
Analyzed: Aug 8, 2026, 9:46 PM UTC
Market resolved: Aug 8, 2026, 11:04 PM UTC
Called 1h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxmlsgame/major-league-soccer-game/KXMLSGAME-26AUG08NEHOU?utm_source=kalshiapp_eventpage&referral=6b1b9e0c-db4e-432f-859e-5e93abf247eb

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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...
PillarLab
βœ… Category: ⚽ SPORTS βœ… Type: MULTI_CANDIDATE πŸ“Š Market: New England vs Houston πŸ“… Date: 2026-08-08T23:30:00.000Z πŸ’° Volume: $438,753 Current Odds: β€’ Houston: 60% β€’ Tie: 28% β€’ New England: 14%1.4s
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· PillarScore Β· Line Movement Β· Candidate Dossiers (case for + case against, every candidate β‰₯2%)17.1s
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🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ New England vs Houston

Team/PlayerCurrent Odds
Houston60%
Tie28%
New England14%

3 options total

PillarLab

🎯 Best Trade

  • Action: Houston β€” YES @ 60%

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

  • Why: this is a 3-way match-odds market β€” a draw is a real, common outcome in football (roughly 25-27% of matches historically), so the bar for calling the favorite outright is higher than in a straight two-way bet. Houston clears it here at 60%, well clear of Tie (28%), the next-most-likely outcome.

  • Houston has won 3-0 vs Austin and 2-1 at D.C. United in their last two games, showing they can beat MLS opposition.
  • New England is missing key attackers Leo Campana and TomΓ‘s Chancalay, weakening their scoring threat.
  • Houston's recent losses to LAFC and St. Louis show they are not dominant, but their overall form is better than New England's.
  • Houston is the market favorite, and the price reflects their stronger recent results and New England's injury woes.
  • Note: this is a group-stage/league fixture β€” there is no extra time here. A draw at the end of 90 minutes IS the final result for this match, not a step toward a decider.
PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketRead
Houston60%βšͺ FAIR
Tie28%βšͺ FAIR
New England14%🟒 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 Houston as the favorite at 60%, with New England at 14% and the draw at 28%.

πŸ“ˆ 2. PillarScore

Houston's 7W-8L last-15 record includes wins over Austin (3-0), D.C. United (2-1), and Colorado (2-0), but also losses to LAFC (2-1) and St. Louis (2-0), so their form is solid but not dominant; New England's recent results are mixed with a 2-2 draw at MontrΓ©al and a 3-2 win over Atlanta, but their overall run lacks the same quality of wins.

πŸ₯ 3. Injury Report

New England is missing Leo Campana (hamstring), TomΓ‘s Chancalay (knee), Andrew Farrell (leg), and Wyatt Omsberg (hamstring), with Brayan Ceballos and Malcolm Fry questionable; Houston is missing Lawrence Ennali, Duane Holmes, Jimmy Maurer, Nelson Quinones, and Andrew Tarbell, with Ethan Bartlow questionable.

πŸ“± 4. Reddit Sentiment

Reddit sentiment is thin and mixed, with no clear sharp-vs-public consensus; Houston is the market lean but live chatter focuses on game state rather than a strong pick.

πŸ”’ 5. Team Stats & Form

Houston's recent wins (3-0 vs Austin, 2-1 at D.C. United) are stronger than New England's mixed results, but Houston also lost to LAFC and St. Louis recently, so their form is not overwhelming; New England's home form is a factor but their injury list weakens their attack.

🌀️ 6. Situational Factors

New England has home advantage at Gillette Stadium, but both teams are dealing with significant absences; Houston's away form includes losses to LAFC and Vancouver, which could be a vulnerability.

πŸ”€ 7. Line Movement

Line movement data is unavailable for this specific match, so no steam or reverse steam can be identified; the market price appears stable.

⏰ 8. Time Decay

MEDIUM - Injury news is already priced in, but late lineup confirmations could shift the market; both teams have multiple key absences, so the price may adjust if any questionable players are ruled in or out.

⚑ 9. Contrarian Check

The main contrarian risk is New England at home: despite their injuries, they have beaten Atlanta and Orlando recently, and Houston's away form is shaky, so the 14% price may be too low for a home underdog with a chance.

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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.

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