J. League Div.1

Japan• Kashima
November 9, 24

Kashima

0 - 0
FT

Nagoya Grampus

Main Tip
1 - 1
(20%)

Expert AI Football Betting Tips & Match Analysis

Detailed AI football prediction for the Kashima vs Nagoya Grampus match in the J. League Div.1 (Japan), scheduled for November 9, 24. Form analysis: Kashima enters the match with a record of 2 wins, 0 draws, and 3 losses in their last 5 games, averaging 1.2 goals scored. Nagoya Grampus's recent form shows 3 wins, 0 draws, and 2 losses from their last 5 fixtures, with a 1.4 goals per game average. Head-to-head (2 encounters): Kashima leads with 1 wins, Nagoya Grampus has 1 wins, and 0 matches ended in a draw; H2H clashes average 2.0 goals. Find complete statistics, analysis, and reliable AI betting tips for this fixture.

Team Performance Metrics

home team flag

Kashima

Average Goals per Game
1.50
Average of 1.50 goals scored per match
Formation
4-4-2
Most commonly used formation
Defensive Efficiency
6.9
Defensive Efficiency rated 6.9/10
Offensive Efficiency
7.1
Offensive Efficiency rated 7.1/10
Overall Team Performance
7.0
Overall team performance rated 7.0/10
Average Shots On Goal
5.4
Average shots on target per match
Goal Conversion Rate
41.4%
Shot-to-goal conversion rate
away team flag

Nagoya Grampus

Average Goals per Game
1.30
Average of 1.30 goals scored per match
Formation
3-4-2-1
Most commonly used formation
Defensive Efficiency
6.9
Defensive Efficiency rated 6.9/10
Offensive Efficiency
7.1
Offensive Efficiency rated 7.1/10
Overall Team Performance
6.9
Overall team performance rated 6.9/10
Average Shots On Goal
4.5
Average shots on target per match
Goal Conversion Rate
36.5%
Shot-to-goal conversion rate

Recent Matches

Head to Head

Best Bets

Total - Home: Under 2.51.16
Goals Over/Under: Under 3.51.22
Double Chance: Home/Draw1.25
Asian Handicap: Away -1.251.32
Double Chance: Draw/Away1.80
Match Winner: Draw3.48

Prediction Insight

1 - 1
20%

This prediction carries a speculative 20% probability rating. While our models identify some favorable patterns, underlying metrics show increased volatility and uncertainty. Historical data suggests occasional success in similar scenarios, but approach with caution. If considering this bet, we recommend reduced stake sizes and careful monitoring of pre-match developments.

High-Risk Scenario
Confidence Level: Very Low
20%

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