AI Match Insights

Super League Dec 03, 2023

Mutondo Stars

Home
VS
13:00

Kansanshi Dynamos

Away
AI Predictions 43.0% Confidence
Mutondo Stars Win
43.0%
Draw
25.4%
Kansanshi Dynamos Win
31.6%
Home Win (43% confidence)
Predicted Score: 2-0
Decision Justification
Validated Rules (80%+ Accuracy from 90-Day Backtest)
xG_ADV (67.5%)
Player Score 40%
Momentum 94%
Standings 48%
Market 50%
Combined: 51% Draw Risk: 35%
xG: 2.65 - 0.27
Key Insights
xG dominance: 2.6 vs 0.3
High draw risk (35%) - confidence penalized
Score Prediction Analysis
Mutondo Stars Goal Probabilities
0 goals:
7%
1 goals:
19%
2 goals:
25%
3 goals:
22%
4 goals:
15%
Kansanshi Dynamos Goal Probabilities
0 goals:
76%
1 goals:
21%
2 goals:
3%
3 goals:
0%
4 goals:
0%
Most Likely Scorelines
2-0 (19%) 3-0 (17%) 1-0 (14%) 0-0 (5%) 2-1 (5%) 3-1 (5%)
BTTS (Both Teams Score) 22%
Over 2.5 Goals 51%
Under 2.5 Goals 49%
Mutondo Stars Form 6.0%
Date Match Result
Nov 26 Mutondo S… vs Green Eag… 0-0
Nov 11 Mutondo S… vs ZESCO Uni… 1-2
Nov 08 Mutondo S… vs Power Dyn… 2-0
Oct 08 Mutondo S… vs NAPSA Sta… 3-2
Sep 30 Mutondo S… vs Mufulira … 2-1
Sep 02 Mutondo S… vs Man Utd Z… 2-0
Aug 19 Mutondo S… vs Green Eag… 0-0
Kansanshi Dynamos Form 8.0%
Date Match Result
Nov 11 Kansanshi… vs Zanaco 1-0
Nov 08 Kansanshi… vs Kabwe War… 2-0
Oct 29 Kansanshi… vs Green Eag… 1-1
Oct 22 Kansanshi… vs ZESCO Uni… 1-1
Oct 01 Kansanshi… vs Konkola B… 0-1
Sep 23 Kansanshi… vs Nkwazi 0-0
Sep 17 Kansanshi… vs Prison Le… 2-1
Jun 03 Kansanshi… vs Nkana 2-0
Apr 30 Kansanshi… vs Green Eag… 2-1
Apr 22 Kansanshi… vs Zanaco 1-0
Key Analysis Factors
  • Mutondo Stars struggling (3L in last 5) Home
Final Verdict

STANDARD: Draw expected (23% confidence)

STANDARD Tier
Predicted: 1-1 23% Confidence
Rules Passed
HOME_ADVANTAGE
Key Factors
  • No key factors identified
Mutondo Stars Power 0
Kansanshi Dynamos Power 0
Home Form N/A
Away Form N/A
League Standings Context

16

Mutondo Stars Position

-1

Position Gap

15

Kansanshi Dynamos Position

Home Win Rate: 25%
Away Win Rate: 11%
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.