Columbus Crew vs Philadelphia Union: match statistics
Columbus Crew vs Philadelphia Union: form, goals and key statistics
Key match information
Columbus Crew played Philadelphia Union in MLS (United States). The match was played on 25 April 2026. Final score: 2:0.
Current form
Columbus Crew: 2-1-2, 1.40 points/match. Philadelphia Union: 1-2-2, 1.00 points/match.
Goal statistics
Columbus Crew scores 1.33 and concedes 1.44 goals per match. Philadelphia Union scores 1.00 and concedes 1.67. League average: 3.20 goals.
BTTS / Over / Under
BTTS: Columbus Crew 78%, Philadelphia Union 67%. Over 2.5: Columbus Crew 67%, Philadelphia Union 67%. League level: BTTS 58%, Over 2.5 63%.
xG, shots and style
Philadelphia Union has higher xG: 1.62 vs 1.55. Columbus Crew: 12.8 shots per match, Philadelphia Union: 14.2.
Match halves
Columbus Crew: half-time lead 44%, second-half goals 0.67. Philadelphia Union: half-time lead 11%, second-half goals 0.78.
Goals by minute
Columbus Crew: 31-45+ (3 goals). Philadelphia Union: 76-90+ (4 goals). This is historical distribution, not a predicted goal minute.
League context
MLS: 3.20 goals per match, BTTS 58%, Over 2.5 63%.
Head-to-head
No aligned head-to-head sample is available in the database.
Archived pre-match analysis
This analysis was prepared before kick-off. The conclusions use only information available before the match and do not include the final result or post-match statistics.
General match analysis
I predict a home win. Columbus concedes on average 0.75 goals per home match with average xG against of 0.82, while Philadelphia concedes 2.0 goals on the road with xG against 1.07. Columbus scored 10 goals in the last 5 matches (2.0 per game) and holds a 3-1-1 record in that span with PPG of 2.0, whereas Philadelphia has just 1 win, 2 draws and 2 losses with 7 goals and PPG of 1.0. Offensive xG is similar (1.63 for Columbus vs 1.57 for Philadelphia), but Union are more efficient in finishing (shot conversion 10% vs Columbus 5%), giving them a scoring threat. Columbus controls play more often (58% possession vs 47%) and averages 4.5 shots on target per game compared to Philadelphia’s 4.0, and the home side has 25% of matches with a clean sheet at home versus 0% away clean sheets for Union, indicating a clear defensive edge. Considering these numbers and Columbus’s better recent form, I back a home victory, although Columbus’s high share of draws at home (50% of home matches end level) makes a draw a realistic outcome as well.
View the statistical overviewBTTS - will both teams score?
Philadelphia has a seasonal BTTS rate of 80% and 0% clean sheets, conceding on average 2.0 goals per match, which strongly increases the opponent scoring probability. Columbus averages only 0.5 goals scored per season, but their expected xG is 1.69 versus Philadelphia's 1.57, and in the last 5 matches Columbus scored 10 goals (2.0 avg) and conceded 5 (1.0), indicating an offensive improvement. Both teams have registered BTTS in 80% of their last 5 fixtures, and the shots on target figures of 3.75 and 4.0 with conversion rates of 3% vs 10% show that goalscoring opportunities are arising at both ends. Additionally, Columbus has scored 12 and conceded 13 this season, while Philadelphia has scored 9 and conceded 15, which together suggest high vulnerability to conceding for both sides, therefore I favor BTTS - Yes (80%) over No Goal (20%).
View BTTS statisticsOver/Under - goals analysis
The prediction is based on average xG: Columbus attack has xG 1.69 while Philadelphia defense concedes 1.07 xG per match, yielding expected Columbus goals ≈1.38; similarly Philadelphia attack 1.57 xG and Columbus defense 1.14 xG give ≈1.36, totaling ≈2.74 goals. In the last 5 matches Columbus averaged 2.0 goals and had xG 2.07, while Philadelphia averaged 1.4 goals and xG 1.62, which strengthens the signal for Over 2.5 (last5 over2.5 for both at 80%). Season figures show Philadelphia has 80% of matches Over 2.5, Columbus 50%, and the league goals average is 3.24, all favoring a higher total. The best line to play is Over 2.5 with an estimated probability of about 68%, based on the combined xG 2.74 and high Over2.5 rates in the last five games. Over 1.5 is almost certain (≈95%), whereas Over 3.5 is less likely (≈30%) due to Columbus season over3.5 at 0% and Columbus’s low shot conversion rate 3% versus Philadelphia 10%.
View Over/Under statisticsHT/FT - half-time and full-time scenario
Columbus typically scores only 0.5 goals per home match seasonally and did not lead at the break in any game (0% HT leads), but in the last five matches the hosts have markedly improved: they led at the break in 3 of 5 matches (60%) and averaged 2.0 goals per game. Philadelphia has similar xG (1.57 versus Columbus 1.69) and a higher conversion rate (10% vs 3%), however in the last five matches the visitors won only 20% and averaged 1.4 goals. Columbus in their last five fixtures have a 60% win rate and average 2.0 points per game versus Philadelphia’s 1.0 point and 20% wins, which increases the likelihood of the hosts leading at the break and maintaining the result. The risk from Union comes from their second halves on the road (an average of 1.2 goals in the second half) and the fact that in 80% of away matches both teams scored, so a turnaround by the visitors after the break is realistic; nevertheless, the strongest signal in the data remains 1/1 (Half-Time/Full-Time).
View first-half and second-half statisticsHalf-by-half
Match statistics
Pre-match profile— what do the season numbers say?
This is a team profile based on season data and form. Match-flow statistics are shown only after the fixture is played.
Team stats— who is more efficient?
Attack and defence comparison for both teams in the current season.
Shooting quality
| Columbus Crew | Philadelphia Union | |
|---|---|---|
| Accuracy (shots on target) | 37% | 27% |
| Chance quality (xG per shot) | 0.12 | 0.11 |
| Finishing (goals per shot on target) | 0.28 | 0.26 |
xG per shot around 0.08 usually means long-range attempts; 0.15+ usually means box chances. The style label comes from possession, shot volume and conversion.
* xG (expected goals) says how many goals a team should score from its chances. If actual goals are above xG, finishing is above average; if below xG, chances are being missed.
Team form— who is in better shape?
Last five matches and season record, overall and split by home and away matches.
Columbus Crew is 40% better for: last-5 form.
1.4 pts / match - Columbus Crew · 1 pts / match - Philadelphia Union
Goals— how do both teams score and concede?
How many goals both teams score and concede, plus how often they keep a clean sheet or fail to score.
Columbus Crew is 33% better for: goals scored per match.
1.33 goals / match - Columbus Crew · 1 goals / match - Philadelphia Union
Columbus Crew is 16% better for: goals conceded per match.
1.44 goals / match - Columbus Crew · 1.67 goals / match - Philadelphia Union
Columbus Crew scores in 78% of matches (7 of 9 matches), while Philadelphia Union keeps a clean sheet in 11% (1 of 9 matches).
Philadelphia Union scores in 67% of matches (6 of 9 matches), while Columbus Crew keeps a clean sheet in 11% (1 of 9 matches).
How often they score at least...
How often they concede at least...
* Statistics include both teams' home and away matches in the current season.
Both teams scored (BTTS)— how often do both teams score?
How often both teams' matches have goals on both sides, compared with the league average.
Goal patterns
BTTS and goal count
Goal count (Over/Under)— how often do these matches cross the goal lines?
How often matches involving these teams clear goal thresholds, in the full match and in each half.
Full match - team comparison (Over)
Over / Under - Columbus Crew
Over / Under - Philadelphia Union
1st half
2nd half
Match halves— when do the teams score more often?
How teams split performance between first and second half: goals, points, clean sheets and half-time state.
Columbus Crew is 166% better for: first-half form (half-time points).
1.78 pts / match - Columbus Crew · 0.67 pts / match - Philadelphia Union
Before half-time (1st half)
After half-time (2nd half)
Columbus Crew - second-half results
Leads at half-time in 44% of matches and wins 22%. Sometimes loses the lead after half-time.
Concedes 0.8 more goals per match after half-time - defensive level drops in the second half.
Philadelphia Union - second-half results
Leads at half-time in 11% of matches and wins 11%. Also wins matches without a half-time lead.
Concedes 0.3 more goals per match after half-time - defensive level drops in the second half.
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 2.00 | 1.40 |
| Goals scored / match | 0.6 | 1.0 |
| Goals conceded / match | 0.2 | 1.2 |
| Average goals in match | 0.8 | 2.2 |
| 1 goal | 80% | 100% |
| 2 goals | 0% | 80% |
| 3 goals | 0% | 20% |
| Clean sheet | 80% | 20% |
| No goal | 40% | 40% |
| Goal difference | +2 | -1 |
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 1.00 | 1.00 |
| Goals scored / match | 0.4 | 1.0 |
| Goals conceded / match | 0.6 | 1.0 |
| Average goals in match | 1.0 | 2.0 |
| 1 goal | 80% | 80% |
| 2 goals | 20% | 60% |
| 3 goals | 0% | 20% |
| Clean sheet | 40% | 40% |
| No goal | 60% | 40% |
| Goal difference | -1 | 0 |
* Colours in tables show event frequency: green is common, yellow is moderate, red is rare. It is frequency, not a team rating.
Goals by minute— when do goals arrive?
Match phases in which both teams most often score and concede.
Most dangerous in minutes 31-45 (3 goals). Concedes most in 76-90 (5). Late-goal balance (76-90): -3 - late phases are a weakness.
Most dangerous in minutes 76-90 (4 goals). Concedes most in 16-30 (4). Late-goal balance (76-90): +1 - wins late phases.
* Buckets 31-45 and 76-90 include added-time goals.
Additional team indicators— what do xG, efficiency and form show?
A comparison of chance quality, results and trends based on completed matches from the current season.
Match profile
Columbus Crew
Philadelphia Union
* The estimated goal total and split, BTTS estimate, 0:0 risk and goal range are calculated from public season averages and frequencies for both teams. This is a statistical match profile, not a private model prediction or betting pick. The remaining indicators describe completed matches from the season.
League context— is this a high-scoring league?
How both teams compare with league-wide averages (MLS).
Teams vs league
| Columbus Crew | Liga | Philadelphia Union | |
|---|---|---|---|
| Average goals in match | ▼ 2.78 | 3.20 | ▼ 2.67 |
| Both teams scored | ▲ 78% | 58% | ▲ 67% |
| Min. 3 goals (Over 2.5) | ▲ 67% | 63% | ▲ 67% |
| Clean sheets | ▼ 11% | 24% | ▼ 11% |
| Goal before half-time | ▼ 67% | 73% | ▲ 78% |
| Goal after half-time | ▲ 89% | 80% | ▼ 78% |
^ green = above league average, ˇ red = below league average. This shows direction of the gap, not a team rating.
Lineups and player events
Verified starters, substitutes and recorded player events for this match.
Home team
Starting lineup
Away team
Starting lineup
Match timeline
Goals, cards and substitutions arranged in chronological order.
Referee and managers
Open their season profiles to compare match records, goals and disciplinary trends.
FAQ
What was the result of Columbus Crew vs Philadelphia Union?
The MLS match finished Columbus Crew 2:0 Philadelphia Union. Full match statistics, the half-by-half breakdown and head-to-head are on this page.
What do the goal statistics show before Columbus Crew vs Philadelphia Union?
Columbus Crew score 1.33 goals per game on average and Philadelphia Union 1.00. The MLS average is 3.20 goals, with Over 2.5 landing in 63% of games. Both teams score in 78% of Columbus Crew's matches and 67% of Philadelphia Union's.
What form are Columbus Crew and Philadelphia Union in?
Over the last 5 games Columbus Crew have a 2-1-2 record (1.40 points per game) and Philadelphia Union 1-2-2 (1.00 points per game).
Where can I find a betting tip and analysis for Columbus Crew vs Philadelphia Union?
Here you can check the pre-match numbers for Columbus Crew vs Philadelphia Union: form, H2H, goals and Over/Under. The pick itself, value and reasoning are published in the NoFluffPicks app.


