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331: Shahbazyan vs Ferreira

Sports Β· Kalshi Β· Called YES, verified WIN Β· Sep 19, 2026
View the original Kalshi market →
Verified Outcome
WIN
PillarLab called Edmen Shahbazyan to win (YES @ 63%).
Result: Edmen Shahbazyan won. The call was correct. Final result: Edmen Shahbazyan won.
Analyzed: Sep 19, 2026, 12:58 PM UTC
Market resolved: Sep 19, 2026, 11:10 PM UTC
Called 10h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxufcfight/ufc-fight/kxufcfight-26sep19shafer

PillarLab
πŸ“‘ Fetching Kalshi data...
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βœ… Got data from Kalshi API!0.4s
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πŸ” Step 1: Detecting market type and category...
PillarLab
βœ… Category: ⚽ SPORTS βœ… Type: MULTI_CANDIDATE πŸ“Š Market: 331: Shahbazyan vs Ferreira πŸ“… Date: 2026-09-20T04:00:00.000Z πŸ’° Volume: $82,240 Current Odds: β€’ Edmen Shahbazyan: 63% β€’ Brunno Ferreira: 38%0.8s
PillarLab
⏳ Step 2: Gathering intelligence (parallel)...
PillarLab
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%)4.9s
PillarLab
🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ 331: Shahbazyan vs Ferreira

Team/PlayerCurrent Odds
Edmen Shahbazyan63%
Brunno Ferreira38%

2 options total

PillarLab

🎯 Best Trade

  • Action: Edmen Shahbazyan β€” YES @ 63%

  • Confidence: 🟑 MEDIUM Β· Uncertainty: LOW

  • Why: 16 sharp books price Edmen Shahbazyan between 61 and 63 (Pinnacle 63, DraftKings 63, FanDuel 63, Caesars (WH) 64, Betfair 63, BetRivers 63, Bovada 63, BetOnline 63, Marathonbet 61, 888sport 63, BetAnySports 62, Betsson 62, Coolbet 61, Matchbook 63, NordicBet 63, 1xBet 60). Consensus, vig removed: 62.8%. The market has Edmen Shahbazyan at 63%. That is the fair price. No discount, but the side is clear.

Line move since our first snapshot: Edmen Shahbazyan 58.3% to 62.8%. Money moved toward Edmen Shahbazyan.

  • Why Brunno Ferreira is priced where it is (38%):
  • Ferreira enters on the first two-fight losing streak of his career, and 4 of his last 5 fights ended in Round 1 β€” a volatile, short-fight profile.
  • He is the lower-ranked, smaller man (184.5 vs 185) fighting outside Brazil in Los Angeles.
  • Shahbazyan is the favorite in every fresh source, and the consensus has moved further toward him since the 2026-09-05 snapshot.

πŸ“ What would change this call: if the market drops Edmen Shahbazyan 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.

BookEdmen ShahbazyanBrunno Ferreira
Pinnacle63.3% (-187)36.7% (+165)
DraftKings63.1% (-192)36.9% (+160)
FanDuel63% (-190)37% (+160)
Caesars (WH)63.7% (-195)36.3% (+165)
Betfair63.4% (-175)36.6% (+172)
BetRivers62.8% (-195)37.2% (+155)
Bovada62.8% (-185)37.2% (+160)
BetOnline62.5% (-185)37.5% (+157)
Marathonbet60.8% (-192)39.2% (+136)
888sport63% (-200)37% (+155)
BetAnySports61.6% (-180)38.4% (+150)
Betsson62.3% (-196)37.7% (+150)
Coolbet60.9% (-175)39.1% (+145)
Matchbook63.4% (-175)36.6% (+172)
NordicBet62.5% (-189)37.5% (+155)
1xBet59.5% (-182)38.6% (+139)
Consensus, vig removed62.8%37.2%

16 sportsbooks priced this game. Spread across the top 16 on Edmen Shahbazyan: 2.6 pts (books agree). Best price: Edmen Shahbazyan -175 at Betfair Β· Brunno Ferreira +172 at Betfair.

PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketBook ConsensusGapVerdict
Edmen Shahbazyan63%62.8%+0.2 ptsβšͺ FAIR PRICE
Brunno Ferreira38%37.2%+0.8 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 16 sportsbooks, vig removed: Edmen Shahbazyan 62.8%, Brunno Ferreira 37.2%. Pinnacle: Edmen Shahbazyan 63.3%, Brunno Ferreira 36.7%. Spread across the top books on Edmen Shahbazyan: 2.6 pts (books agree).

πŸ“ˆ 2. Form & Head-to-Head

Both men arrive off a loss with identical last-five reads of L-W-W-W-L, and no head-to-head record is shown.

πŸ₯ 3. Injury Report

No injury, suspension, or medical news exists for either fighter β€” no clean bill of health reported, no issues reported, simply nothing published.

🧾 4. Starters & Lineups

No announced lineups or fight-week status changes for this bout appear in the intelligence, so there is nothing to time against the last line move.

πŸ“° 5. Recent News (48h)

Nothing material in the last 48 hours.

🌀️ 6. Situational Factors

Ferreira fights outside Brazil in Los Angeles, while Shahbazyan carries the size edge at 185 to Ferreira's 184.5.

πŸ”€ 7. Line Movement

Since our first snapshot (2026-09-05 14:05 UTC): Edmen Shahbazyan 58.3% to 62.8%, Brunno Ferreira 41.7% to 37.2%. Money moved toward Edmen Shahbazyan.

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

LOW - no injury, lineup, or news item dated after the last line move exists for either fighter, so there is nothing the books could have missed.

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

The contrarian risk is Ferreira's 3-fight win streak (W-W-W, 2024-2026) against Shahbazyan's L-W-W-W-L, plus Ferreira being the younger man at 28 years 9 months β€” if the market is pricing Shahbazyan off ranking and size rather than current form, the live underdog has a real path.

PillarLab

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⚽ 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