← Back to Track Record

Al-Hazm vs Al-Fateh

Sports Β· Kalshi Β· Called YES, verified LOSS Β· Oct 15, 2026
View the original Kalshi market →
Verified Outcome
LOSS
PillarLab called Al-Hazm to win (YES @ 39%).
Result: Al-Hazm did not win. The call was wrong.
Analyzed: Oct 15, 2026, 3:06 PM UTC
Market resolved: Oct 15, 2026, 5:15 PM UTC
Called 2h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxsaudiplgame/alhazm-vs-alfateh/KXSAUDIPLGAME-26OCT15HAZFAT?utm_source=kalshiapp_eventdetails

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: MULTI_CANDIDATE πŸ“Š Market: Al-Hazm vs Al-Fateh πŸ“… Date: 2026-10-15T18:15:00.000Z πŸ’° Volume: $13,557 Current Odds: β€’ Al-Hazm: 39% β€’ Al-Fateh: 35% β€’ Tie: 27%2.5s
PillarLab
⏳ Step 2: Gathering intelligence (parallel)...
PillarLab
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%)28.5s
PillarLab
🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ Al-Hazm vs Al-Fateh

Team/PlayerCurrent Odds
Al-Hazm39%
Al-Fateh35%
Tie27%

3 options total

PillarLab

🎯 My Call

Al-Hazm to win

  • Confidence: 🟑 MEDIUM

Al-Hazm at home against a side leaking 1.88 a game is a 50 percent team, and the 2.35 is pricing them like a coin flip.

OptionMy priceMarket
Al-Hazm50Β’39Β’
Al-Fateh25Β’35Β’
Tie25Β’27Β’

I set my prices from the research alone, before I saw the market. These are pre-game prices. If the game is already live, the score beats my numbers.

  • The trade: Buy Al-Fateh NO at 65Β’. My fair price is 75Β’, so that's 10Β’ of edge.

Why NO? A draw kills a Al-Hazm YES bet. Al-Fateh NO pays if Al-Hazm wins AND if it's a draw. Two ways to cash instead of one.

  • How I'd run it: Normal size. Add only if the team sheet confirms a full Al-Hazm attack, and get out if they announce a key forward is out.

Why

  • Al-Hazm are at home and unbeaten in 10 of their last 12 home matches, according to the research.
  • Al-Fateh are shipping 1.88 goals a game with a -1.4 differential, and they just lost 0-4 to Al-Ahli on 10/9/26.
  • Al-Hazm can't score much at 1.00 goals a game, so this is a tight one, which is why I'm at 50 and not 60.
  • The 2.35 implies about 42.6% before margin removal, which is too cheap for a home side with that record.
  • What kills it: Al-Hazm's attack has averaged 0.7 goals per home game lately, so a 0-0 or a 1-0 Al-Fateh win is one bad night away.

  • What flips me: A confirmed lineup showing Al-Hazm without their first-choice attack would send me straight to the other side.

PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketRead
Al-Hazm39%🟒 UNDERPRICED
Al-Fateh35%πŸ”΄ OVERPRICED
Tie27%βšͺ FAIR

Verdicts compare my own read against the market price, 🟒 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 Al-Hazm at about 42-43% to win, with no Al-Fateh or draw price available, and no opening-to-current movement shown, so the line gives only a partial read.

πŸ“ˆ 2. PillarScore

Al-Fateh (bottom, 16th, 3 pts after 7 games) lost 0-4 at Al-Ahli on 10/9 and 4-2 at NEOM on 9/13, and average 1.88 goals conceded per game with a -1.4 differential, against Al-Hazm's 10th place on 8 pts and goal difference of +2; Al-Hazm's own recent form (W1-0 vs Al Taawon, D1-1 vs Al Shabab, L1-3 at Al-Ittihad, L1-3 at Al-Ahli) is mediocre, so the form edge is real but modest.

πŸ₯ 3. Injury Report

No injury, suspension, or lineup information for either side was found, so the injury check is neutral and the call rests on form and venue.

πŸ“± 4. Reddit Sentiment

Reddit sentiment was not captured for this fixture, so no crowd-hype signal is available.

🧠 Off the Record

No framework. Just what I actually think.

Here's what the crowd is getting wrong. They look at Al-Hazm sitting 10th and think it's a mess, and they look at Al-Fateh at the bottom and think it's a free kick. Both are true, and both are sitting on the table. Al-Fateh's problem isn't that they can't score, it's that they keep leaking, 1.88 a game and a 4-0 last time out against Al-Ahli. Al-Hazm's problem is finishing, 1.00 goals a game and a pile of 1-1s. So this is a draw-prone match with a home side who should win more than they lose. The number I care about is the 2.35, which asks for less than 43 percent on a home team I think is closer to half. I'm buying Al-Hazm, normal size, and I'm not chasing if the price runs. The thing I'm watching is the team sheet, because one missing attacker changes the math faster than any stat in here. The 1.35 line in one of the sources doesn't match the sportsbook page, so I'm ignoring it until someone can show me the book.

πŸ”’ 5. Team Stats & Form

Al-Fateh's form is the weaker of the two: a 0-4 defeat in their most recent match and repeated heavy concessions, while Al-Hazm average only 1.00 goals scored, so this is a low-scoring matchup where the draw remains live.

🌀️ 6. Situational Factors

Al-Fateh travel to Al-Hazm's home venue, and Al-Hazm's home record is cited as unbeaten in 10 of their last 12 home matches, though that figure is not fully corroborated by the other intelligence.

πŸ”€ 7. Line Movement

No opening-vs-current line movement is shown, so there is no sharp-money signal to read.

⏰ 8. Time Decay

LOW - no pending injury or lineup news is visible, so there is no clear time-decay catalyst before kickoff.

⚑ 9. Contrarian Check

Al-Hazm's scoring is weak (about 1.00 goals per game), so a 0-0 or 1-0 result is a real risk that keeps the draw alive and could leave Al-Fateh NO contracts unresolved in practice.

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

Recent calls from the desk

Every call gets its own page before the game, and it updates to won or lost when the game ends.