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Al-Faisaly vs Al-Ittihad

Sports Β· Kalshi Β· Called YES, verified WIN Β· Sep 11, 2026
View the original Kalshi market →
Verified Outcome
WIN
PillarLab called Al-Ittihad to win (YES @ 58%).
Result: Al-Ittihad won. The call was correct. Final result: Al-Ittihad won.
Analyzed: Sep 11, 2026, 3:36 AM UTC
Market resolved: Sep 11, 2026, 6:04 PM UTC
Called 14h before resolution. The call was made before the outcome was known.

https://kalshi.com/markets/kxsaudiplgame/saudi-pro-league-game/kxsaudiplgame-26sep11faiitj

PillarLab
πŸ“‘ Fetching Kalshi data...
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βœ… Got data from Kalshi API!0.3s
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πŸ” Step 1: Detecting market type and category...
PillarLab
βœ… Category: ⚽ SPORTS βœ… Type: MULTI_CANDIDATE πŸ“Š Market: Al-Faisaly vs Al-Ittihad πŸ“… Date: 2026-09-11T18:45:00.000Z πŸ’° Volume: $18,840 Current Odds: β€’ Al-Ittihad: 58% β€’ Tie: 22% β€’ Al-Faisaly: 21%1.4s
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%)6.1s
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🧠 Step 3: Deep Analysing across all 9 pillars β€” hang tight, ~20s...
PillarLab

πŸ“Š Market Summary

⚽ Al-Faisaly vs Al-Ittihad

Team/PlayerCurrent Odds
Al-Ittihad58%
Tie22%
Al-Faisaly21%

3 options total

PillarLab

🎯 Best Trade

  • Action: Al-Ittihad β€” YES @ 58%

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

  • 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. Al-Ittihad clears it here at 58%, well clear of Tie (22%), the next-most-likely outcome.

  • Unbeaten in five league games (3W 2D, 11 points, 5th) with 1.47 goals scored and only 0.84 conceded per game.
  • Al-Faisaly are 16th on 3 points from 5 (0W 3D 2L) and winless in seven across all competitions, conceding 2.01 goals per game.
  • Head-to-head at Al-Majma'a Sport City over the last two meetings produced five goals, and the most recent competitive meeting was a 4-0 Al-Ittihad win in the King's Cup quarterfinal on 04.02.2024.

⚠️ Contract scope: this is a knockout-stage fixture β€” a draw after 90 minutes goes to extra time and penalties, and the match WILL produce an advancing team. But this market resolves on the 90-minute regulation result only, extra time and penalties excluded. If the score is level after 90, the draw outcome wins here even if a team goes on to win/advance afterward. This is not the same question as "who advances." Since it's knockout-stage, some platforms offer a binary "advances" contract instead of this 3-way structure β€” that removes the standalone draw risk this contract carries, so it's worth checking whether one exists if that risk is what you're trying to avoid.

PillarLab

πŸ“ˆ Where the Market Stands

OptionMarketRead
Al-Ittihad58%βšͺ FAIR
Tie22%βšͺ FAIR
Al-Faisaly21%βšͺ FAIR

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 Al-Ittihad as the clear favorite at roughly 58-67%, with the one real quoted price (1.50 decimal, ~66.7%) sitting above this market's 58% for the away side.

πŸ“ˆ 2. PillarScore

Al-Ittihad's last five (0-0 at Al-Fateh, 3-2 over Al-Hazem, 1-0 at Al-Qadisiyah, 3-0 at Al-Najmah, 1-1 with Al-Kholood) is unbeaten but includes two dropped points against modest sides, while Al-Faisaly's last five (0-0 Al-Hazem, 1-3 Al-Qadisiyah, 1-1 Al-Fateh, 0-2 Neom, 2-4 Al-Hilal) is winless with heavy concessions to the stronger opponents they faced.

πŸ₯ 3. Injury Report

No injury, suspension, or lineup-status information for either side appears in the gathered intelligence, so no named absence can be used as a disqualifier either way.

πŸ“± 4. Reddit Sentiment

No Reddit sentiment data is published for this fixture, and the crowd read is neutral β€” the market's own 58/22/21 split shows no visible hype drift toward either side.

πŸ”’ 5. Team Stats & Form

Al-Faisaly's recent results are worse than their 21% price implies: 0W-3D-2L in the league, 0.84 goals scored and 2.01 conceded per game, and a 4-2 loss at Al-Hilal plus a 2-0 home defeat to Neom in the last month.

🌀️ 6. Situational Factors

Al-Faisaly carry the worst situational path β€” 16th in the table, winless in seven across all competitions, and hosting a side that has not lost in five league games.

πŸ”€ 7. Line Movement

No opening-vs-current line movement history was published for this fixture, and the market's current 58/22/21 split shows no visible drift.

⏰ 8. Time Decay

LOW - no pending injury news, lineup announcement, or dated fresh item is present in the intelligence, so there is no near-term catalyst to reprice this market.

⚑ 9. Contrarian Check

The main contrarian risk is that Al-Ittihad have drawn twice in five and can be held by a deep-lying Al-Faisaly side β€” the 0-0 at Al-Fateh and 1-1 with Al-Kholood show they drop points against weaker opposition, and Al-Faisaly have ground out three draws in six.

PillarLab

⚠️ Disclaimer: AI can make mistakes. This is not financial advice. Do your own research before placing any trades.

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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