AI Match Insights

Match Details Home
Serie B Feb 01, 2026

Padova

Home
VS
16:15

Monza

Away
AI Predictions 39.6% Confidence
Padova Win
33.0%
Draw
27.4%
Monza Win
39.6%
Away Win (40% confidence)
Predicted Score: 1-0
Decision Justification
Player Score 40%
Momentum 65%
Standings 30%
Market 35%
Combined: 38% Draw Risk: 55%
Asian Handicap: Away -1
xG: 1.38 - 0.99
Key Insights
Asian Handicap: Away -1
High draw risk (55%) - confidence penalized
Score Prediction Analysis
Padova Goal Probabilities
0 goals:
25%
1 goals:
35%
2 goals:
24%
3 goals:
11%
4 goals:
4%
Monza Goal Probabilities
0 goals:
37%
1 goals:
37%
2 goals:
18%
3 goals:
6%
4 goals:
2%
Most Likely Scorelines
1-0 (13%) 1-1 (13%) 0-0 (9%) 0-1 (9%) 2-0 (9%) 2-1 (9%)
BTTS (Both Teams Score) 47%
Over 2.5 Goals 42%
Under 2.5 Goals 58%
Padova Form 6.0%
Date Match Result
Jan 25 Padova vs Sudtirol 3-0
Jan 17 Padova vs Mantova 1-2
Jan 11 Padova vs Modena 2-0
Dec 27 Padova vs Palermo 1-0
Dec 20 Padova vs Sampdoria 1-1
Dec 13 Padova vs Reggiana … 1-2
Dec 08 Padova vs Cesena 1-1
Nov 29 Padova vs Pescara 0-1
Nov 22 Padova vs Venezia 0-2
Nov 08 Padova vs Mantova 1-0
Monza Form 14.0%
Date Match Result
Jan 24 Monza vs Pescara 3-0
Jan 17 Monza vs Frosinone 2-2
Jan 10 Monza vs Virtus En… 1-0
Dec 26 Monza vs Modena 1-2
Dec 20 Monza vs Carrarese 4-1
Dec 13 Monza vs Venezia 2-0
Dec 08 Monza vs Sudtirol 1-1
Nov 30 Monza vs Juve Stab… 2-2
Nov 23 Monza vs Cesena 1-0
Nov 09 Monza vs Pescara 0-2
Key Analysis Factors
  • Monza in strong form (3W in last 5) Away
  • Padova struggling (3L in last 5) Home
Head-to-Head History Last 1 matches
Date Home Team Score Away Team League
Sep 27, 2025 Monza 0 - 1 Padova Serie B
Final Verdict

STANDARD: Draw expected (33% confidence)

STANDARD Tier
Predicted: 1-1 33% Confidence
Rules Passed
HOME_ADVANTAGE
Key Factors
  • No key factors identified
Padova Power 32
Monza Power 43
Home Form N/A
Away Form N/A
League Standings Context

13

Padova Position

-10

Position Gap

3

Monza Position
Home Win Rate: 18%
Away Win Rate: 46%
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.