AI Match Insights

J2 League May 06, 2025

JEF United Chiba

Home
VS
07:00

Omiya Ardija

Away
AI Predictions 57.0% Confidence
JEF United Chiba Win
57.0%
Draw
22.6%
Omiya Ardija Win
20.4%
Home Win (57% confidence)
Predicted Score: 1-0
Decision Justification
Validated Rules (80%+ Accuracy from 90-Day Backtest)
xG_ADV (67.5%)
Player Score 40%
Momentum 79%
Standings 50%
Market 50%
Combined: 47% Draw Risk: 44%
xG: 1.62 - 0.68
Key Insights
xG dominance: 1.6 vs 0.7
High draw risk (44%) - confidence penalized
Score Prediction Analysis
JEF United Chiba Goal Probabilities
0 goals:
20%
1 goals:
32%
2 goals:
26%
3 goals:
14%
4 goals:
6%
Omiya Ardija Goal Probabilities
0 goals:
51%
1 goals:
34%
2 goals:
12%
3 goals:
3%
4 goals:
1%
Most Likely Scorelines
1-0 (16%) 2-0 (13%) 1-1 (11%) 0-0 (10%) 2-1 (9%) 3-0 (7%)
BTTS (Both Teams Score) 40%
Over 2.5 Goals 40%
Under 2.5 Goals 60%
JEF United Chiba Form 16.0%
Date Match Result
May 03 JEF Unite… vs Sagan Tosu 1-1
Apr 29 JEF Unite… vs Roasso Ku… 0-0
Apr 25 JEF Unite… vs Blaublitz… 3-1
Apr 20 JEF Unite… vs Oita Trin… 1-0
Apr 13 JEF Unite… vs Fujieda M… 2-3
Mar 26 JEF Unite… vs Kataller … 4-2
Nov 10 JEF Unite… vs Montedio … 4-0
Nov 03 JEF Unite… vs V-Varen N… 1-2
Oct 26 JEF Unite… vs Fujieda M… 2-3
Oct 19 JEF Unite… vs Ventforet… 2-1
Omiya Ardija Form 8.0%
Date Match Result
May 03 Omiya Ard… vs Kataller … 2-2
Apr 29 Omiya Ard… vs Iwaki 2-1
Apr 25 Omiya Ard… vs Consadole… 1-0
Apr 20 Omiya Ard… vs Imabari 0-0
Apr 16 Omiya Ard… vs FC Tokyo 1-3
Apr 13 Omiya Ard… vs Blaublitz… 1-2
Mar 26 Omiya Ard… vs Iwaki 3-3
Mar 23 Omiya Ard… vs Mito Holl… 2-0
Mar 08 Omiya Ard… vs Renofa Ya… 2-1
Nov 24 Omiya Ard… vs Kataller … 1-2
Key Analysis Factors
  • JEF United Chiba in strong form (3W in last 5) Home
Final Verdict

STANDARD: JEF United Chiba 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
JEF United Chiba Power 0
Omiya Ardija 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.