Compare Roma vs Monaco

Roma vs Monaco Head-to-Head Stats and Form Comparison

Compare Roma vs Monaco: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.

Roma Home Team

Monaco Away Team

Roma

59.0

W W W D W L W L L D

Last 10 Matches

Monaco

67.7

L W D D L W W W W W

Categories Won

Roma

Draw

Monaco

Performance Radar

Roma

Monaco

Statistical Comparison

Win Percentage

50%

5W, 2D, 3L

60%

6W, 2D, 2L

Goals Scored / Match

2.1

21 / 10 matches

1.8

18 / 10 matches

Goals Conceded / Match

1.5

15 / 10 matches

1.3

13 / 10 matches

Goal Difference

Clean Sheet

40%

4 / 10 matches

20%

2 / 10 matches

Over 2.5 Goals

60%

6 / 10 matches

70%

7 / 10 matches

Both Teams to Score

60%

6 / 10 matches

70%

7 / 10 matches

Top Scorer

D. Malen (8 goals)

F. Balogun (8 goals)

Most Goals by Half

1st Half: 12 / 2nd Half: 9

1st Half: 5 / 2nd Half: 13

Home Win Rate

60%

3W / 5 matches

60%

3W / 5 matches

Away Win Rate

40%

2W / 5 matches

60%

3W / 5 matches

Schedule Strength (SoS)

57.5

League Difficulty: 89.0, Opponent Quality: 62.5

69.4

League Difficulty: 86.0, Opponent Quality: 64.4

Elite Opponent Record

0W / 2 matches

50%

2W / 4 matches

Expected Goals (xG)

2.67

Actual: 2.1 | Diff: -0.57

2.08

Actual: 1.8 | Diff: -0.28

Adjusted Power Rating

59.0

Attack: 75.2, Defense: 53.8, Form: 53.8

67.7

Attack: 71.6, Defense: 67.7, Form: 71.6

Goal Timing Analysis

0-15'

16-30'

31-45'

46-60'

61-75'

76-90+'

Roma

Monaco

Power Rating Breakdown

59.0

Overall

Attack 75.2

Defense 53.8

Form 53.8

Consistency 45.7

Power Rating Breakdown

67.7

Overall

Attack 71.6

Defense 67.7

Form 71.6

Consistency 52.0

Strength of Schedule

Measures the difficulty of opponents faced. Higher = tougher schedule.

League Difficulty

89.0 vs 86.0

Opponent Quality

62.5 vs 64.4

Elite Opponent Record

0% vs 50%

Roma

Monaco

Opponent Quality: Quality blends league strength, recent points form, goal difference, and home/away context. It is not only club size or reputation.

Opponent Breakdown

League

Score

Opp. Quality

Parma A

Italian Serie A

3 - 2 W

62%

Fiorentina H

Italian Serie A

4 - 0 W

66%

Bologna A

Italian Serie A

2 - 0 W

63%

Atalanta H

Italian Serie A

1 - 1 D

64%

Pisa H

Italian Serie A

3 - 0 W

40%

Inter Milan A

Italian Serie A

2 - 5 L

84%

Lecce H

Italian Serie A

1 - 0 W

53%

Bologna H

UEFA Europa League

3 - 4 L

56%

Como A

Italian Serie A

1 - 2 L

76%

Bologna A

UEFA Europa League

1 - 1 D

61%

Opponent Breakdown

League

Score

Opp. Quality

Lille H

French Ligue 1

0 - 1 L

73%

Metz A

French Ligue 1

2 - 1 W

48%

Toulouse A

French Ligue 1

2 - 2 D

62%

Auxerre H

French Ligue 1

2 - 2 D

66%

Paris FC A

French Ligue 1

1 - 4 L

77%

Marseille H

French Ligue 1

2 - 1 W

61%

Lyon A

French Ligue 1

2 - 1 W

70%

Brest H

French Ligue 1

2 - 0 W

56%

Paris SG A

French Ligue 1

3 - 1 W

84%

Angers H

French Ligue 1

2 - 0 W

47%

AI Analysis

The statistics point to a clear direction in this matchup, though the underdog should not be underestimated.

Monaco has faced significantly tougher opposition (SoS: 69.4) compared to Roma (SoS: 57.5). This means Monaco's statistics carry more weight, as they were achieved against higher-caliber opponents.

Roma holds the attacking edge with 2.1 goals per match versus Monaco's 1.8, though the gap is not insurmountable.

Both defenses are comparable, with Roma conceding 1.5 and Monaco conceding 1.3 per match.

Monaco has proven their mettle against elite opponents, winning 2 of 4 matches against top-tier teams. This is a crucial indicator of their ability to perform under pressure.

Monaco is a strong road team with a 60% away win rate, suggesting they can perform regardless of venue.

Based on the combined statistics, expect 3.4 total goals. Over 2.5 goals is the statistical lean, with both teams to score being likely.

Monaco has the edge based on adjusted metrics, but this is far from a foregone conclusion. The 8.7 point power rating difference suggests a competitive match where small details could decide the outcome.

Match Simulator

AI-powered match simulation based on real statistics

Roma

Monaco

In H2H (head-to-head) matchups, to eliminate momentary fluctuations and coincidences, we limit our analyses to an optimal depth of exactly 10 matches. Neither less, nor more. This focused approach is our undisputed gold standard, revealing the tactical and psychological supremacy teams hold over each other in its purest form. We do not dwell on the noise of the past; we concentrate on the millimetric precision of current form.

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