Skip to content
Compare New York vs Charlotte

New York vs Charlotte Head-to-Head Stats and Form Comparison

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

New York New York Home Team
Charlotte Charlotte Away Team
New York
47.0
D L L W L L W D W W

Last 10 Matches

Charlotte
57.9
W D W L W D W W L D

Performance Radar

New York
Charlotte

Categories Won

3

New York

2

Draw

10

Charlotte

Statistical Comparison

Win Percentage
40%

4W, 2D, 4L

50%

5W, 3D, 2L

Goals Scored / Match
1.5

15 / 10 matches

2.0

20 / 10 matches

Goals Conceded / Match
1.6

16 / 10 matches

1.3

13 / 10 matches

Goal Difference
-1

-1

+7

+7

Clean Sheet
0%

0 / 10 matches

20%

2 / 10 matches

Over 2.5 Goals
60%

6 / 10 matches

70%

7 / 10 matches

Both Teams to Score
80%

8 / 10 matches

70%

7 / 10 matches

Top Scorer
J. Ruvalcaba (4 goals)
Pep Biel (6 goals)
Most Goals by Half
1st Half: 10 / 2nd Half: 5
1st Half: 12 / 2nd Half: 8
Home Win Rate
33%

2W / 6 matches

57%

4W / 7 matches

Away Win Rate
50%

2W / 4 matches

33%

1W / 3 matches

Schedule Strength (SoS)
54.2

League Difficulty: 55.0, Opponent Quality: 53.7

51.6

League Difficulty: 55.0, Opponent Quality: 49.4

Elite Opponent Record
0%

0W / 0 matches

0%

0W / 0 matches

Expected Goals (xG)
1.4

Actual: 1.5 | Diff: +0.1

2.06

Actual: 2.0 | Diff: -0.06

Adjusted Power Rating
47.0

Attack: 52.1, Defense: 48.6, Form: 41.7

57.9

Attack: 67.7, Defense: 57.6, Form: 50.8

Goal Timing Analysis

3

0-15'

5
1

16-30'

5
5

31-45'

2
3

46-60'

3

61-75'

3
3

76-90+'

2
New York
Charlotte
New York

Power Rating Breakdown

47.0

Overall

Attack 52.1
Defense 48.6
Form 41.7
Consistency 44.8
Charlotte

Power Rating Breakdown

57.9

Overall

Attack 67.7
Defense 57.6
Form 50.8
Consistency 53.2

Strength of Schedule

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

League Difficulty

55.0 vs 55.0

Opponent Quality

53.7 vs 49.4

Elite Opponent Record

0% vs 0%
New York logo New York
D
Chicago (56%)
L
Nashville (67%)
L
Atlanta United (49%)
W
Orlando (49%)
L
Charlotte (58%)
L
Philadelphia (57%)
W
Sporting KC (46%)
D
NYCFC (54%)
Charlotte logo Charlotte
W
DC United (44%)
D
Toronto (49%)
W
Columbus (40%)
L
Chicago (61%)
W
New York (54%)
D
Atlanta United (44%)
W
New England (48%)
W
Toronto (44%)

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
Opponent Breakdown
Score
Opp. Quality
Chicago H
1 - 1 D
56%
Nashville H
0 - 1 L
67%
Atlanta United A
1 - 2 L
49%
Orlando H
3 - 2 W
49%
Charlotte H
0 - 2 L
58%
Philadelphia A
1 - 3 L
57%
Sporting KC A
2 - 1 W
46%
NYCFC H
1 - 1 D
54%
Columbus H
3 - 2 W
40%
Chicago A
3 - 1 W
61%
Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
DC United H
3 - 1 W
44%
Toronto A
3 - 3 D
49%
Columbus H
3 - 1 W
40%
Chicago A
1 - 2 L
61%
New York A
2 - 0 W
54%
Atlanta United H
2 - 2 D
44%
New England H
1 - 0 W
48%
Toronto H
3 - 1 W
44%
NYCFC H
0 - 1 L
54%
Cincinnati H
2 - 2 D
56%

AI Analysis

The statistics point to a clear direction in this matchup, though the underdog should not be underestimated. When we factor in the quality of opponents each team has faced, the gap narrows slightly but the overall picture remains consistent.

With comparable strength of schedule figures (54.2 vs 51.6), the opposition quality faced by both sides has been largely equivalent, giving these head-to-head stats greater analytical validity.

Charlotte holds the attacking edge with 2.0 goals per match versus New York's 1.5, though the gap isn't insurmountable.

Defensively, Charlotte holds the advantage — allowing just 1.3 goals per game against New York's 1.6.

New York has not faced any elite-level opponents in their recent matches, making it difficult to assess their ceiling.

Charlotte has not faced any elite-level opponents in their recent matches, making it difficult to assess their ceiling.

Based on the combined statistics, expect 3.2 total goals. Over 2.5 goals is the statistical lean, with BTTS (Both Teams to Score) being likely.

📈 Form Momentum: Charlotte has been remarkably consistent, maintaining a steady 1.8 points per game over their last 10 matches. This stability makes them a predictable but reliable force.

💡 Why This Matters: The 10.9-point power rating gap between these teams translates to approximately a 77% win probability for Charlotte. In practical terms, Charlotte would win 8 out of 10 such matchups.

The numbers lean toward Charlotte, with a 10.9-point power rating gap pointing to a genuine advantage — though not one that makes this contest a formality.

In their recent Major League Soccer match (2026-07-25), Charlotte prevailed 0-2 against New York. This result provides valuable insight into how these teams match up against each other. Notably, Charlotte achieved this result away from home, which is particularly impressive. Winning on the road against New York shows genuine quality and mental strength. New York will be eager to avenge this defeat. The desire for revenge can be a powerful motivator, and they may come into the next meeting with extra determination. Charlotte will carry a psychological advantage from this recent victory. Knowing you've beaten your opponent recently provides a significant confidence boost.

Match Simulator

AI-powered match simulation based on real statistics

New York

New York

VS
Charlotte

Charlotte

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.

Compare Another Pair

Comparison Summary

This head-to-head comparison analyzes the last 10 matches of each team, evaluating attack power, defensive strength, form consistency, and overall performance metrics. The power ratings are calculated using a weighted algorithm that considers goals scored, goals conceded, win rate, and recent form trends.

New York

4W 2D 4L · 15 goals scored · 16 conceded

Charlotte

5W 3D 2L · 20 goals scored · 13 conceded

Popular Teams

We use cookies & local storage to enhance your experience. Learn more

Login / Register

5 + 2 = ?
or