AI Match Insights

Ligue 1 Dec 11, 2022

CS Constantine

Home
VS
14:00

El Bayadh

Away
AI Predictions 42.3% Confidence
CS Constantine Win
29.7%
Draw
28.1%
El Bayadh Win
42.3%
Away Win (42% confidence)
Predicted Score: 0-0
Decision Justification
Validated Rules (80%+ Accuracy from 90-Day Backtest)
GAP8+HWR60 (78.2%) TOP3vsBot (75.8%) GAP10_HWR60 (79.9%) POS_GAP_10+ (73.8%) GAP5_HWR50 (73.5%) TOP5vsBOT (72.7%) HWR60+ (68.3%) POS_GAP_5+ (67.0%)
Player Score 40%
Momentum 45%
Standings 91%
Market 50%
Combined: 46% Draw Risk: 55%
xG: 0.30 - 0.77
Key Insights
Position gap: 14 places
High draw risk (55%) - confidence penalized
Score Prediction Analysis
CS Constantine Goal Probabilities
0 goals:
74%
1 goals:
22%
2 goals:
3%
3 goals:
0%
4 goals:
0%
El Bayadh Goal Probabilities
0 goals:
46%
1 goals:
36%
2 goals:
14%
3 goals:
4%
4 goals:
1%
Most Likely Scorelines
0-0 (34%) 0-1 (26%) 1-0 (10%) 0-2 (10%) 1-1 (8%) 1-2 (3%)
BTTS (Both Teams Score) 14%
Over 2.5 Goals 9%
Under 2.5 Goals 91%
CS Constantine Form 6.0%
Date Match Result
Dec 03 CS Consta… vs JS Saoura 3-1
Nov 10 CS Consta… vs Khroub 0-1
Oct 08 CS Consta… vs MC Alger 0-2
Oct 02 CS Consta… vs ES Sétif 0-0
Sep 17 CS Consta… vs Paradou AC 0-1
Aug 26 CS Consta… vs Khenchela 3-1
Jun 01 CS Consta… vs ES Sétif 1-0
May 07 CS Consta… vs JS Saoura 2-0
Apr 01 CS Consta… vs Paradou AC 1-0
Mar 19 CS Consta… vs MC Alger 0-0
El Bayadh Form 16.7%
Date Match Result
Oct 21 El Bayadh vs Paradou AC 0-0
Sep 09 El Bayadh vs Khenchela 2-0
Sep 03 El Bayadh vs JS Saoura 2-0
Key Analysis Factors
  • CS Constantine struggling (3L in last 5) Home
Final Verdict

MASTER: CS Constantine to win (82% confidence)

MASTER Tier
Predicted: 1-0 82% Confidence
Rules Passed
POS_GAP_12+ (76.8%) HOME_TOP_3 (62.5%) AWAY_BOTTOM_5 (61.2%) HOME_ADVANTAGE
Key Factors
  • No key factors identified
CS Constantine Power 0
El Bayadh Power 0
Home Form N/A
Away Form N/A
League Standings Context

2

CS Constantine Position

+14

Position Gap

16

El Bayadh Position

Home Win Rate: 67%
Away Win Rate: 0%
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.