Skip to content
Compare Columbus vs Philadelphia

Columbus vs Philadelphia Head-to-Head Stats and Form Comparison

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

Columbus Columbus Home Team
Philadelphia Philadelphia Away Team
Columbus
34.9
L L L D W L W D L L

Last 10 Matches

Philadelphia
49.8
D D W W W W L D L L

Performance Radar

Columbus
Philadelphia

Categories Won

2

Columbus

3

Draw

10

Philadelphia

Statistical Comparison

Win Percentage
20%

2W, 2D, 6L

40%

4W, 3D, 3L

Goals Scored / Match
1.4

14 / 10 matches

2.2

22 / 10 matches

Goals Conceded / Match
2.0

20 / 10 matches

2.1

21 / 10 matches

Goal Difference
-6

-6

+1

+1

Clean Sheet
10%

1 / 10 matches

10%

1 / 10 matches

Over 2.5 Goals
80%

8 / 10 matches

70%

7 / 10 matches

Both Teams to Score
80%

8 / 10 matches

90%

9 / 10 matches

Top Scorer
D. Rossi (2 goals)
M. Iloski (8 goals)
Most Goals by Half
1st Half: 9 / 2nd Half: 5
1st Half: 9 / 2nd Half: 13
Home Win Rate
50%

2W / 4 matches

60%

3W / 5 matches

Away Win Rate
0%

0W / 6 matches

20%

1W / 5 matches

Schedule Strength (SoS)
41.9

League Difficulty: 55.0, Opponent Quality: 56.9

51.8

League Difficulty: 55.0, Opponent Quality: 49.6

Elite Opponent Record
0%

0W / 1 matches

0%

0W / 0 matches

Expected Goals (xG)
1.47

Actual: 1.4 | Diff: -0.07

2.22

Actual: 2.2 | Diff: -0.02

Adjusted Power Rating
34.9

Attack: 42.9, Defense: 30.6, Form: 18.4

49.8

Attack: 74.7, Defense: 30.5, Form: 40.7

Goal Timing Analysis

1

0-15'

4
3

16-30'

2
3

31-45'

2
3

46-60'

5
2

61-75'

6
2

76-90+'

3
Columbus
Philadelphia
Columbus

Power Rating Breakdown

34.9

Overall

Attack 42.9
Defense 30.6
Form 18.4
Consistency 59.2
Philadelphia

Power Rating Breakdown

49.8

Overall

Attack 74.7
Defense 30.5
Form 40.7
Consistency 50.5

Strength of Schedule

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

League Difficulty

55.0 vs 55.0

Opponent Quality

56.9 vs 49.6

Elite Opponent Record

0% vs 0%
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%)
Philadelphia logo Philadelphia
D
Austin (42%)
D
Inter Miami (60%)
W
NYCFC (58%)
W
Atlanta United (44%)
W
Sounders (31%)
W
New York (49%)
L
Inter Miami (65%)
D
Columbus (40%)

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
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%
Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Austin A
1 - 1 D
42%
Inter Miami H
2 - 2 D
60%
NYCFC A
3 - 2 W
58%
Atlanta United H
3 - 2 W
44%
Sounders H
1 - 0 W
31%
New York H
3 - 1 W
49%
Inter Miami A
4 - 6 L
65%
Columbus H
1 - 1 D
40%
Orlando A
3 - 4 L
54%
New England A
1 - 2 L
53%

AI Analysis

While the data leans decisively toward one side, dismissing the underdog would be premature. Adjusting for strength of schedule brings the margins closer together, yet the broader trend holds firm throughout the analysis.

With comparable strength of schedule figures (41.9 vs 51.8), the opposition quality faced by both sides has been largely equivalent, giving these head-to-head stats greater analytical validity.

Offensively, Philadelphia outperforms Columbus with 2.2 goals per match to 1.4, though the margin leaves the contest genuinely open.

Defensively, Columbus and Philadelphia are evenly matched, allowing 2.0 and 2.1 goals per game respectively.

Philadelphia 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 3.8 total goals. Going Over 2.5 carries the stronger statistical case, with the BTTS market looking likely given current form.

❄️ 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.

📈 Form Momentum: Philadelphia has been remarkably consistent, maintaining a steady 1.5 points per game over their last 10 matches. This stability makes them a predictable but reliable force.

⚠️ Risk Factor: Despite being the statistical favorite, Philadelphia faces a key vulnerability: their defense concedes 2.1 goals per match. If Columbus can exploit this, an upset becomes plausible.

💡 Why This Matters: The 14.9-point power rating gap between these teams translates to approximately a 85% win probability for Philadelphia. In practical terms, Philadelphia would win 8 out of 10 such matchups.

Philadelphia has the edge based on adjusted metrics, but this is far from a foregone conclusion. The 14.9-point power gap suggests an advantage without guaranteeing victory.

These two teams drew 1-1 in the Major League Soccer (2026-05-17). The stalemate suggests these sides are closely matched, and another tight contest could be on the cards. With the previous match ending in a draw, neither side holds a psychological edge. Both teams will feel they have a genuine chance of winning.

Match Simulator

AI-powered match simulation based on real statistics

Columbus

Columbus

VS
Philadelphia

Philadelphia

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.

Columbus

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

Philadelphia

4W 3D 3L · 22 goals scored · 21 conceded

Popular Teams

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

Login / Register

5 + 2 = ?
or