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Compare New York vs Columbus

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

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

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

Last 10 Matches

Columbus
34.9
L L L D W L W D L L

Performance Radar

New York
Columbus

Categories Won

8

New York

3

Draw

4

Columbus

Statistical Comparison

Win Percentage
40%

4W, 2D, 4L

20%

2W, 2D, 6L

Goals Scored / Match
1.5

15 / 10 matches

1.4

14 / 10 matches

Goals Conceded / Match
1.6

16 / 10 matches

2.0

20 / 10 matches

Goal Difference
-1

-1

-6

-6

Clean Sheet
0%

0 / 10 matches

10%

1 / 10 matches

Over 2.5 Goals
60%

6 / 10 matches

80%

8 / 10 matches

Both Teams to Score
80%

8 / 10 matches

80%

8 / 10 matches

Top Scorer
J. Ruvalcaba (4 goals)
D. Rossi (2 goals)
Most Goals by Half
1st Half: 10 / 2nd Half: 5
1st Half: 9 / 2nd Half: 5
Home Win Rate
33%

2W / 6 matches

50%

2W / 4 matches

Away Win Rate
50%

2W / 4 matches

0%

0W / 6 matches

Schedule Strength (SoS)
54.2

League Difficulty: 55.0, Opponent Quality: 53.7

41.9

League Difficulty: 55.0, Opponent Quality: 56.9

Elite Opponent Record
0%

0W / 0 matches

0%

0W / 1 matches

Expected Goals (xG)
1.4

Actual: 1.5 | Diff: +0.1

1.47

Actual: 1.4 | Diff: -0.07

Adjusted Power Rating
47.0

Attack: 52.1, Defense: 48.6, Form: 41.7

34.9

Attack: 42.9, Defense: 30.6, Form: 18.4

Goal Timing Analysis

3

0-15'

1
1

16-30'

3
5

31-45'

3
3

46-60'

3

61-75'

2
3

76-90+'

2
New York
Columbus
New York

Power Rating Breakdown

47.0

Overall

Attack 52.1
Defense 48.6
Form 41.7
Consistency 44.8
Columbus

Power Rating Breakdown

34.9

Overall

Attack 42.9
Defense 30.6
Form 18.4
Consistency 59.2

Strength of Schedule

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

League Difficulty

55.0 vs 55.0

Opponent Quality

53.7 vs 56.9

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%)
Columbus logo Columbus
L
Nashville (72%)
L
Montréal (45%)
L
Charlotte (64%)
D
Inter Miami (65%)
W
Cincinnati (56%)
L
NYCFC (54%)
W
Atlanta United (44%)
D
Philadelphia (57%)

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
Nashville A
2 - 3 L
72%
Montréal H
1 - 2 L
45%
Charlotte A
1 - 3 L
64%
Inter Miami A
2 - 2 D
65%
Cincinnati H
2 - 1 W
56%
NYCFC H
1 - 2 L
54%
Atlanta United H
2 - 0 W
44%
Philadelphia A
1 - 1 D
57%
New York A
2 - 3 L
54%
NYCFC A
0 - 3 L
58%

AI Analysis

A statistical edge is evident here, but the trailing side carries enough threat to keep this competitive. Once opponent quality is accounted for, the differential softens somewhat without fundamentally altering the overall outlook.

New York has earned their numbers the hard way, posting a SoS of 54.2 against considerably stronger competition than Columbus (SoS: 41.9). Their figures deserve greater analytical credence as a result — forged against genuinely difficult opponents.

The attacking output of New York and Columbus is virtually identical, with both sides posting averages of 1.5 and 1.4 goals per game respectively.

New York's backline outperforms Columbus's, with 1.6 goals conceded per match versus 2.0.

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

Statistical modeling projects 3.2 goals in this fixture. The data points Over 2.5 as the value threshold, while BTTS stands at likely based on both sides' scoring records.

❄️ Form Momentum: Columbus is struggling for form, winning just 2 of their last 10 matches. Teams in this state often lack the confidence to compete in tight moments.

⚠️ Risk Factor: Despite being the statistical favorite, New York faces a key vulnerability: their defense concedes 1.6 goals per match. If Columbus can exploit this, an upset becomes plausible.

💡 Why This Matters: The 12.1-point power rating gap between these teams translates to approximately a 80% win probability for New York. In practical terms, New York would win 8 out of 10 such matchups.

While New York holds a measurable edge in the adjusted standings, the 12.1-point differential in power ratings indicates a competitive matchup rather than a clear-cut outcome.

In their recent US Major League Soccer match (2026-05-14), New York prevailed 3-2 against Columbus. This result provides valuable insight into how these teams match up against each other. New York secured this victory at home, where they tend to be strongest. However, the next encounter could present a different challenge if the venue changes. The narrow 3-2 result shows how tight these encounters are. A single moment of quality or a tactical tweak could swing the next meeting either way. Columbus 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. New York 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
Columbus

Columbus

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.

New York

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

Columbus

2W 2D 6L · 14 goals scored · 20 conceded

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