Tokyo vs Avispa Fukuoka - Prédictions IA Gratuites, Conseils de Paris et Cotes

L'IA prédit le résultat du match Tokyo vs Avispa Fukuoka, les cotes BTTS et plus/moins. Voyez comment Motoki Nagakura et Tomoya Ando influencent le résultat. Discutez avec l'IA. Bot de conseils de paris gratuit.

Informations du match

Date 23/09/2025
Heure 09:00:00
Tournoi J League
Tokyo Tokyo
Avispa Fukuoka Avispa Fukuoka

Prédictions IA Predictions.GG

DOMICILE 45 Niveau de Confiance (%)
NUL 25 Niveau de Confiance (%)
EXTÉRIEUR 30 Niveau de Confiance (%)
Score Prédit 2-1
Score à la Mi-temps 1-0

Meilleurs Joueurs - Tokyo

  • Motoki Nagakura AI Points: 189.9
  • Alexander Scholz AI Points: 176.42
  • Sei Muroya AI Points: 149.91
  • Marcelo Ryan AI Points: 125.47
  • Takahiro Ko AI Points: 122.36

Meilleurs Joueurs - Avispa Fukuoka

  • Tomoya Ando AI Points: 199.09
  • Tomoya Miki AI Points: 165.01
  • Shosei Usui AI Points: 123.13
  • Takumi Kamijima AI Points: 118.88
  • Daiki Matsuoka AI Points: 118.49
Claire Dubois

Claire Dubois
Prédiction d'Expert

🇫🇷 Passionnée de foot lyonnaise | ⚽ Organisatrice de tournois amateurs | 🔵🔴 PSG dans le cœur | Tactiques obsessionnelles

Publié le 18/09/2025
[email protected]

MATCH OVERVIEW

Tokyo and Avispa Fukuoka are set to face off in a pivotal J League match at the Ajinomoto Stadium. This fixture holds significant importance as both teams are eager to secure points that could influence their standings in the league. Tokyo, with home advantage, will aim to capitalize on their slightly favorable odds, while Avispa Fukuoka seeks to challenge the hosts and improve their position.

ODDS ANALYSIS

The average odds for this match suggest a competitive game, with Tokyo favored at 2.01, indicating a 49.75% probability of winning. The draw is priced at 3.36, offering a 29.76% chance, while Avispa Fukuoka's odds of 3.33 translate to a 30.03% probability of victory. These odds reflect a closely contested match, with Tokyo having a slight edge.

TEAM ANALYSIS

Tokyo

  • Current Form: Tokyo has played 29 matches this season, with a moderate performance in terms of goals and possession.
  • Strengths: Tokyo's possession rate of 51.28% and their ability to maintain a high number of successful passes (356.21) are key strengths.
  • Weaknesses: Their goal-scoring rate of 1.07 per match and a conceded goals average of 1.45 highlight defensive vulnerabilities.

Avispa Fukuoka

  • Current Form: Avispa Fukuoka has also played 29 matches, showing resilience in defense with a conceded goals average of 1.1.
  • Strengths: Their defensive rating of 315.04 and successful duels rate are notable.
  • Weaknesses: A lower possession rate of 48.17% and fewer goals per match (1.03) could be areas of concern.

KEY PLAYERS SPOTLIGHT

Tokyo

  • Marcelo Ryan: With 7 goals this season, Ryan is a crucial attacking force for Tokyo.
  • Motoki Nagakura: His contribution of 189.9 points and 4 goals makes him a key player.

Avispa Fukuoka

  • Tomoya Ando: Leading with 199.09 points and 4 goals, Ando is vital for Fukuoka's offensive play.
  • Tomoya Miki: With 5 goals, Miki is a significant threat in the attacking third.

STATISTICAL DEEP DIVE

  • Offensive Metrics: Tokyo averages 11.59 shots per game, slightly higher than Fukuoka's 11.52.
  • Defensive Metrics: Fukuoka's defensive rating of 315.04 surpasses Tokyo's 268.34, indicating stronger defensive capabilities.
  • Possession and Passing: Tokyo's possession and passing accuracy are superior, which could influence the game's tempo.

PREDICTION AND CONCLUSION

Based on the data, Tokyo is slightly favored to win, with a predicted scoreline of 2-1. Key factors include Tokyo's home advantage and their ability to control possession. Avispa Fukuoka's strong defense could keep the match competitive, but Tokyo's attacking prowess might prove decisive.

Final Score Prediction: Tokyo 2-1 Avispa Fukuoka Half Time Score Prediction: Tokyo 1-0 Avispa Fukuoka

Tokyo, Avispa Fukuoka, analyse de football, prédictions de match, paris sportifs, cotes, buts, corners, cartons jaunes, cartons rouges, xG moyen, BTTS, Plus de 2.5

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