AI Match Insights

Match Details Home
Second Division Feb 08, 2026

Al-Khor

Home
VS
15:00

Lusail City

Away
AI Predictions 41.0% Confidence
Al-Khor Win
41.0%
Draw
25.8%
Lusail City Win
33.2%
Home Win (41% confidence)
Predicted Score: 1-2
Decision Justification
Player Score 40%
Momentum 37%
Standings 40%
Market 50%
Combined: 41% Draw Risk: 24%
xG: 1.71 - 2.61
Score Prediction Analysis
Al-Khor Goal Probabilities
0 goals:
18%
1 goals:
31%
2 goals:
26%
3 goals:
15%
4 goals:
6%
Lusail City Goal Probabilities
0 goals:
7%
1 goals:
19%
2 goals:
25%
3 goals:
22%
4 goals:
14%
Most Likely Scorelines
1-2 (8%) 1-3 (7%) 2-2 (7%) 1-1 (6%) 2-3 (6%) 2-1 (5%)
BTTS (Both Teams Score) 76%
Over 2.5 Goals 75%
Under 2.5 Goals 25%
Al-Khor Form 10.0%
Date Match Result
Feb 03 Al-Khor vs Al Mesaim… 1-1
Jan 27 Al-Khor vs Al-Markhi… 2-1
Jan 21 Al-Khor vs Al-Rayyan 2-0
Dec 30 Al-Khor vs Al-Markhi… 2-1
Dec 21 Al-Khor vs Al-Bidda 0-2
Dec 13 Al-Khor vs Al Kharai… 1-2
Dec 05 Al-Khor vs Al Ahli D… 2-4
Nov 29 Al-Khor vs Al-Arabi … 3-4
Nov 16 Al-Khor vs Al Mesaim… 2-3
Nov 04 Al-Khor vs Al Kharai… 1-2
Lusail City Form 12.0%
Date Match Result
Feb 03 Lusail Ci… vs Al-Arabi … 1-2
Dec 30 Lusail Ci… vs Al-Bidda 0-2
Dec 21 Lusail Ci… vs Al-Markhi… 2-1
Nov 04 Lusail Ci… vs Al Mesaim… 1-2
Oct 22 Lusail Ci… vs Al Kharai… 3-1
Sep 17 Lusail Ci… vs Muaither … 2-0
Aug 26 Lusail Ci… vs Al-Khor 2-1
Aug 19 Lusail Ci… vs Al-Arabi … 0-2
Key Analysis Factors
  • Lusail City in strong form (3W in last 5) Away
Head-to-Head History Last 1 matches
Date Home Team Score Away Team League
Aug 26, 2025 Lusail City 2 - 1 Al-Khor Second Division
Final Verdict

STANDARD: Al-Khor to win (60% confidence)

STANDARD Tier
Predicted: 1-0 60% Confidence
Rules Passed
POS_GAP_15+ (79.5%) AWAY_BOTTOM_5 (61.2%) HOME_ADVANTAGE
Key Factors
  • Huge position gap: 93
Al-Khor Power 0
Lusail City Power 0
Home Form N/A
Away Form N/A
League Standings Context

6

Al-Khor Position

-5

Position Gap

1

Lusail City Position
Home Win Rate: 0%
Away Win Rate: 75%
Disclaimer: These AI predictions are based on historical data and statistical analysis. Football matches can be unpredictable, and actual results may vary significantly from predictions.