New York City vs CF Montréal - Free AI Predictions, Betting Tips & Odds

AI predicts New York City vs CF Montréal score, BTTS & O/U odds. See how Matt Freese and George Campbell makes a difference. Chat with AI. Free betting tips bot.

Game Information

Date 5/10/2025
Time 11:40:00 PM
Tournament MLS
New York City New York City
CF Montréal CF Montréal

Predictions.GG AI Predictions

HOME 58.5 Confidence Level (%)
DRAW 28.3 Confidence Level (%)
AWAY 21.7 Confidence Level (%)
Predicted Score 2-1
Half-Time Score 1-0

Best Players - New York City

  • Matt Freese AI Points: 190.32
  • Alonso Martínez AI Points: 186.95
  • Hannes Wolf AI Points: 164.84
  • Keaton Parks AI Points: 153.2
  • Maxi Moralez AI Points: 145.54

Best Players - CF Montréal

  • George Campbell AI Points: 220.13
  • Giacomo Vrioni AI Points: 203.9
  • Jonathan Sirois AI Points: 171.34
  • Dante Sealy AI Points: 145.21
  • Prince Osei Owusu AI Points: 138.51

Sarah Martinez

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

Published at 5/15/2025

MATCH OVERVIEW

New York City FC welcomes CF Montréal to Yankee Stadium in a pivotal MLS clash. With the season in full swing, both teams are looking to secure vital points to bolster their standings. New York City, playing at home, will aim to leverage their familiarity with the venue to gain an advantage. The match kicks off at 23:30 UTC, promising an exciting evening of football.

ODDS ANALYSIS

The odds favor New York City FC with a home win probability of 58.5%, while CF Montréal has a 21.7% chance of securing an away victory. The likelihood of a draw stands at 28.3%. These odds suggest a competitive match, with New York City slightly favored to come out on top.

TEAM ANALYSIS

New York City FC

  • Current Form: New York City has shown moderate form, averaging 1.2 goals per match and maintaining a possession rate of 51.5%.
  • Strengths: Strong dribbling skills with 16.3 dribbles per game, and a solid defensive setup with 41.9 interceptions.
  • Weaknesses: Vulnerable to conceding goals, averaging 1.3 per match.

CF Montréal

  • Current Form: Struggling offensively with only 0.4 goals per match, but maintaining a slightly higher possession rate of 52%.
  • Strengths: Effective in duels, winning 96.5 per game, and strong in successful dribbles.
  • Weaknesses: Defensive frailties, conceding 1.4 goals per match.

Head-to-Head

Historically, New York City has had the upper hand in this fixture, often capitalizing on their home advantage.

KEY PLAYERS SPOTLIGHT

New York City FC

  • Alonso Martínez: Leading scorer with 6 goals, crucial for breaking down CF Montréal's defense.
  • Matt Freese: Key defensive player, contributing significantly to the team's stability.

CF Montréal

  • George Campbell: Top performer with 215.12 points, vital for defensive resilience.
  • Prince Osei Owusu: With 2 goals, he remains a threat in attack.

STATISTICAL DEEP DIVE

  • Offensive Metrics: New York City averages 10.8 shots per game, slightly higher than CF Montréal's 10.7.
  • Defensive Metrics: CF Montréal excels in successful tackles, averaging 4.4 compared to New York City's 3.5.
  • Possession and Passing: Both teams are closely matched in possession, but New York City has a slight edge in successful passes.

PREDICTION AND CONCLUSION

New York City FC is expected to leverage their home advantage and superior offensive capabilities to secure a win. Key factors include Alonso Martínez's goal-scoring prowess and the team's ability to maintain possession. CF Montréal will need to tighten their defense and capitalize on counter-attacks to challenge New York City.

Final Score Prediction

New York City FC 2-1 CF Montréal

Half Time Score Prediction

New York City FC 1-0 CF Montréal

Match-Winning Factors

  • Home advantage for New York City
  • Alonso Martínez's form and goal-scoring ability
  • CF Montréal's defensive resilience

In conclusion, New York City FC is poised to claim victory, but CF Montréal's potential for surprise should not be underestimated.