AI Match Insights

Friendlies Clubs Feb 12, 2026

Lyngby

Home
VS
13:00

Torpedo Kutaisi

Away
AI Predictions 43.0% Confidence
Lyngby Win
43.0%
Draw
25.4%
Torpedo Kutaisi Win
31.6%
Home Win (43% confidence)
Predicted Score: 3-1
Decision Justification
Validated Rules (80%+ Accuracy from 90-Day Backtest)
xG_ADV (67.5%)
Player Score 40%
Momentum 94%
Standings 50%
Market 50%
Combined: 60% Draw Risk: 11%
xG: 4.47 - 1.87
Key Insights
xG dominance: 4.5 vs 1.9
Score Prediction Analysis
Lyngby Goal Probabilities
0 goals:
1%
1 goals:
5%
2 goals:
11%
3 goals:
17%
4 goals:
19%
Torpedo Kutaisi Goal Probabilities
0 goals:
15%
1 goals:
29%
2 goals:
27%
3 goals:
17%
4 goals:
8%
Most Likely Scorelines
3-1 (5%) 3-2 (5%) 2-1 (3%) 2-2 (3%) 3-3 (3%) 3-0 (3%)
BTTS (Both Teams Score) 84%
Over 2.5 Goals 65%
Under 2.5 Goals 35%
Lyngby Form 16.0%
Date Match Result
Jan 31 Lyngby vs HB Køge 0-1
Nov 21 Lyngby vs Esbjerg 2-0
Nov 08 Lyngby vs B 93 0-3
Nov 02 Lyngby vs Hobro 3-0
Oct 25 Lyngby vs Aalborg 3-2
Oct 19 Lyngby vs Aarhus GF 3-3
Oct 06 Lyngby vs Hvidovre 2-2
Sep 27 Lyngby vs Aalborg 2-1
Sep 24 Lyngby vs FC Copenh… 0-2
Sep 21 Lyngby vs HB Køge 4-0
Torpedo Kutaisi Form 18.0%
Date Match Result
Dec 06 Torpedo K… vs Gareji 2-1
Nov 30 Torpedo K… vs Dinamo Tb… 2-2
Nov 26 Torpedo K… vs Kolkheti … 4-0
Nov 22 Torpedo K… vs Samgurali 2-4
Nov 08 Torpedo K… vs Dinamo Ba… 5-1
Nov 03 Torpedo K… vs Dila 1-0
Oct 27 Torpedo K… vs Telavi 2-2
Oct 21 Torpedo K… vs Saburtalo 3-1
Oct 17 Torpedo K… vs Gagra 0-2
Oct 03 Torpedo K… vs Gareji 1-3
Key Analysis Factors
  • Lyngby in strong form (4W in last 5) Home
  • Torpedo Kutaisi in strong form (4W in last 5) Away
Final Verdict

STANDARD: Lyngby to win (30% confidence)

STANDARD Tier
Predicted: 1-0 30% Confidence
Rules Passed
AWAY_BOTTOM_5 (61.2%) HOME_ADVANTAGE
Key Factors
  • No key factors identified
Lyngby Power 0
Torpedo Kutaisi Power 0
Home Form N/A
Away Form N/A
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.