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Compare Charlotte vs New York

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

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

Charlotte Charlotte Home Team
New York New York Away Team
Charlotte
57.9
W D W L W D W W L D

Last 10 Matches

New York
47.0
D L L W L L W D W W

Performance Radar

Charlotte
New York

Categories Won

10

Charlotte

2

Draw

3

New York

Statistical Comparison

Win Percentage
50%

5W, 3D, 2L

40%

4W, 2D, 4L

Goals Scored / Match
2.0

20 / 10 matches

1.5

15 / 10 matches

Goals Conceded / Match
1.3

13 / 10 matches

1.6

16 / 10 matches

Goal Difference
+7

+7

-1

-1

Clean Sheet
20%

2 / 10 matches

0%

0 / 10 matches

Over 2.5 Goals
70%

7 / 10 matches

60%

6 / 10 matches

Both Teams to Score
70%

7 / 10 matches

80%

8 / 10 matches

Top Scorer
Pep Biel (6 goals)
J. Ruvalcaba (4 goals)
Most Goals by Half
1st Half: 12 / 2nd Half: 8
1st Half: 10 / 2nd Half: 5
Home Win Rate
57%

4W / 7 matches

33%

2W / 6 matches

Away Win Rate
33%

1W / 3 matches

50%

2W / 4 matches

Schedule Strength (SoS)
51.6

League Difficulty: 55.0, Opponent Quality: 49.4

54.2

League Difficulty: 55.0, Opponent Quality: 53.7

Elite Opponent Record
0%

0W / 0 matches

0%

0W / 0 matches

Expected Goals (xG)
2.06

Actual: 2.0 | Diff: -0.06

1.4

Actual: 1.5 | Diff: +0.1

Adjusted Power Rating
57.9

Attack: 67.7, Defense: 57.6, Form: 50.8

47.0

Attack: 52.1, Defense: 48.6, Form: 41.7

Goal Timing Analysis

5

0-15'

3
5

16-30'

1
2

31-45'

5
3

46-60'

3
3

61-75'

2

76-90+'

3
Charlotte
New York
Charlotte

Power Rating Breakdown

57.9

Overall

Attack 67.7
Defense 57.6
Form 50.8
Consistency 53.2
New York

Power Rating Breakdown

47.0

Overall

Attack 52.1
Defense 48.6
Form 41.7
Consistency 44.8

Strength of Schedule

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

League Difficulty

55.0 vs 55.0

Opponent Quality

49.4 vs 53.7

Elite Opponent Record

0% vs 0%
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%)
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%)

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
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%
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%

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

Charlotte leads the attacking statistics, averaging 2.0 goals per game compared to New York's 1.5 — a meaningful but far from decisive advantage.

Charlotte has the defensive edge, conceding 1.3 per match compared to New York's 1.6.

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

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

Crunching the numbers, this match averages out to 3.2 total goals. Going Over 2.5 carries the stronger statistical case, with the BTTS market looking likely given current form.

📈 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

Charlotte

Charlotte

VS
New York

New York

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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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.

Charlotte

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

New York

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

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