Toronto vs Charlotte FC - Free AI Predictions, Betting Tips & Odds

AI predicts Toronto vs Charlotte FC score, BTTS & O/U odds. See how Sean Johnson and Pep Biel makes a difference. Chat with AI. Free betting tips bot.

Game Information

Date 5/31/2025
Time 11:30:00 PM
Tournament MLS
Toronto Toronto
Charlotte FC Charlotte FC

Predictions.GG AI Predictions

HOME 37.9 Confidence Level (%)
DRAW 28.7 Confidence Level (%)
AWAY 39.2 Confidence Level (%)
Predicted Score 1-2
Half-Time Score 0-1

Best Players - Toronto

  • Sean Johnson AI Points: 257.12
  • Federico Bernardeschi AI Points: 210.49
  • Deybi Flores AI Points: 149.96
  • Sigurd Rosted AI Points: 126.38
  • Theo Corbeanu AI Points: 124.45

Best Players - Charlotte FC

  • Pep Biel AI Points: 211.06
  • Kristijan Kahlina AI Points: 209.04
  • Wilfried Zaha AI Points: 202.2
  • Patrick Agyemang AI Points: 182.56
  • Ashley Westwood AI Points: 149.96

Sarah Martinez

⚽ MLS obsessive | 📊 Youth soccer coach in Pasadena | 🏀 Lakers die-hard | Weekend warrior tracking every Dodgers game

Published at 5/30/2025

MATCH OVERVIEW

Toronto FC will face Charlotte FC in a crucial MLS match at BMO Field. This encounter is significant for both teams as they aim to climb the league table and secure a playoff spot. Toronto, playing at home, will look to leverage their familiarity with the venue, while Charlotte FC will aim to continue their strong away performances.

ODDS ANALYSIS

The average odds suggest a closely contested match, with Toronto FC slightly favored at 2.63 compared to Charlotte FC's 2.55. The draw is priced at 3.48, indicating a competitive game. The probabilities derived from these odds are:

  • Toronto FC win: 37.9%
  • Charlotte FC win: 39.2%
  • Draw: 28.7% Given the odds, Charlotte FC has a marginal edge, but the match could swing either way.

TEAM ANALYSIS

Toronto FC

Toronto FC has had a mixed season, with an average of 1.13 goals per match and a possession rate of 47.44%. Their defense has been a concern, conceding 1.38 goals per game. Key players like Federico Bernardeschi, who has scored 4 goals, will be crucial in this match.

Charlotte FC

Charlotte FC boasts a stronger offensive record, averaging 1.63 goals per match and a possession rate of 48.38%. Their defense, however, has been slightly porous, conceding 1.69 goals per game. Players like Liel Abada and Patrick Agyemang, each with 5 goals, will be pivotal.

Head-to-Head

Historically, these teams have had competitive encounters, with neither side dominating. Tactical approaches will be key, with Toronto likely focusing on solidifying their defense, while Charlotte may exploit their offensive strengths.

KEY PLAYERS SPOTLIGHT

Toronto FC

  • Federico Bernardeschi: With 4 goals, Bernardeschi is a vital attacking force.
  • Theo Corbeanu: His 3 goals add depth to Toronto's attack.

Charlotte FC

  • Liel Abada: Leading scorer with 5 goals, Abada is a threat.
  • Patrick Agyemang: Also with 5 goals, Agyemang complements Abada well.

STATISTICAL DEEP DIVE

Offensive Metrics

  • Toronto FC averages 9.5 shots per game, with 3.56 on target.
  • Charlotte FC averages 10.69 shots per game, with 4.56 on target.

Defensive Metrics

  • Toronto FC's expected goals against is 1.63, while Charlotte FC's is 1.56.
  • Toronto FC averages 39.06 interceptions per game, compared to Charlotte's 35.75.

Possession and Passing

  • Toronto FC averages 408.5 passes per game, with a success rate of 82%.
  • Charlotte FC averages 465.31 passes per game, with a success rate of 87%.

PREDICTION AND CONCLUSION

Based on the data, Charlotte FC appears to have a slight advantage, particularly in offensive capabilities. However, Toronto's home advantage and key players could influence the outcome. The match-winning factors will likely be Charlotte's ability to capitalize on scoring opportunities and Toronto's defensive resilience.

Final Score Prediction

  • Full Time: Toronto FC 1-2 Charlotte FC
  • Half Time: Toronto FC 0-1 Charlotte FC

Both teams are likely to score, with a high probability of over 2.5 goals given their offensive stats.