J3 League

J3 League

Japan
November 2, 25
1 - 2
FT
Main Tip
1 - 1
(61%)
Goals Over/Under: Under 3.5 @ 1.25

Vanraure Hachinohe vs Kitakyushu - AI Football Prediction for November 2, 25

Our AI-powered preview for the J3 League clash between Vanraure Hachinohe and Kitakyushu on November 2, 25 in Japan delivers a comprehensive look at both teams' recent form and their head-to-head history. Vanraure Hachinohe have managed 3 win(s), 0 draw(s), and 2 loss(es) in their last 5 matches, averaging 1.6 goals per game. Meanwhile, Kitakyushu have recorded 4 win(s), 1 draw(s), and 0 loss(es) in the same period, with an average of 2.0 goals per match. Looking at their previous encounters, these teams have faced each other 0 time(s): Vanraure Hachinohe have won 0, Kitakyushu have won 0, and 0 match(es) ended in a draw. On average, their meetings have produced 0.0 goals per game. Factoring in current form, historical results, and advanced statistical models, our AI provides actionable insights to help you make smarter betting decisions for this match.

Team Performance Metrics

Average Goals per Game
1.60
Average of 1.60 goals scored per match
Average Goals per Game
2.00
Average of 2.00 goals scored per match

Recent Matches

Kitakyushu team flag

Kitakyushu

Insights

Won 80% of last 5 matches
Currently on a 3 match win streak
Scored in last 5 match
Highest score in last 5: 4 goals
Goal difference in last 5: +6
Currently unbeaten in the last 5 matches

Prediction Insight

1 - 1
61%

Statistical analysis indicates a compelling 61% probability for this outcome. Our models show positive trends in recent performance data, supported by tactical matchup advantages and historical precedents. While not our highest-confidence pick, the risk-reward ratio appears favorable based on comprehensive team analytics and situational factors.

High-Value Opportunity
Confidence Level: High
Vanraure Hachinohe: We predicted 5 correct scores out of the last 9 games (56% accuracy)
Kitakyushu: We predicted 5 correct scores out of the last 9 games (56% accuracy)
61%

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