Montreal Impact vs Philadelphia Union: match statistics
Montreal Impact vs Philadelphia Union: form, goals and key statistics
Game details
Montreal Impact played against Philadelphia Union in MLS (United States). The game was played on April 11, 2026. Final score: 1:2.
Recent form
Montreal Impact has 1 win, 0 draws and 4 losses over its last five games, averaging 0.60 points per game. Philadelphia Union has 0 wins, 0 draws and 5 losses, with 0.00 points per game.
Scoring records
Montreal Impact scores 1.17 goals per game and allows 2.83. Philadelphia Union scores 0.67 and allows 1.83. Games in this league average 3.11 goals.
BTTS and goal totals
Both teams score in 33% of Montreal Impact's games and 67% of Philadelphia Union's. The Over 2.5 rates are 100% and 67%, compared with league averages of 53% for BTTS and 62% for Over 2.5.
xG and shots
Philadelphia Union has the higher season xG average, 1.58 to 1.34 per game. Montreal Impact takes 12.5 shots per game, while Philadelphia Union takes 14.0.
First-half and second-half trends
Montreal Impact leads at halftime in 33% of its games and scores 0.33 goals per game after halftime. Philadelphia Union leads at halftime in 0% and scores 0.50 after halftime.
When the teams score
Montreal Impact's most productive scoring window is minutes 0-15 (2 goals). For Philadelphia Union, it is minutes 76-90+ (3 goals). These are past scoring patterns, not predicted goal times.
League scoring profile
MLS games average 3.11 goals. Both teams score in 53% of games, and 62% finish with at least three goals.
Head-to-head record
There is not enough head-to-head history for a meaningful comparison.
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
Montreal's season record is 1-0-5, scoring 7 and conceding 17 (average 1.17 GF and 2.83 GA per match). Philadelphia, across 6 matches, sit at 0-0-6 with 4 scored and 11 conceded (0.67–1.83 per match). In the last 5 fixtures Montreal has scored 7 and conceded 12 (1.4–2.4 per match), while Philadelphia has 4 and 9 (0.8–1.8); hosts have the superior points return in that period: 0.6 pts vs 0.2 pts. Visitors generate more moments on the road (avg 14.33 shots, 3 on target and xG 1.57 per match) but this converts to only 0.67 goals per match, ~5% conversion rate and 33% of games without a goal. Considering Montreal’s higher goal output (7 vs 4), better recent points return and Philadelphia’s lack of wins and 100% away loss rate, I give a slight edge to the home side.
View the statistical overviewBTTS - will both teams score?
Both teams have a season-long BTTS rate of 67% (Montreal 67% vs Philadelphia 67%) versus the league average of 53%, which immediately favors a Goal/Goal scenario. In the last 5 matches signals are mixed — Montreal posts BTTS 40% and concedes 2.4 goals per game on average, while Philadelphia posts BTTS 80% and concedes 1.8 goals, providing a strong away-side impulse. Both sides generate similar xG: Montreal 1.60 and Philadelphia 1.57, while opponents produced on average 1.32 and 1.04 xG against them, indicating genuine scoring opportunities for both teams. Additionally both teams have a season clean sheet expected rate of 0%, and the percentage of matches with over 2.5 goals combined with BTTS is 67% for each side, amplifying the probability of goals from both ends. Despite low shot conversion (conversion rate 5%) and low season goal averages (0.67 for each team), the aggregate statistical signals favor wagering BTTS - Yes.
View BTTS statisticsOver/Under - goals analysis
The xG model indicates expected goals of 1.32 for Montreal (xG attack 1.60 vs Philadelphia xG defense 1.04) and 1.45 for Philadelphia (xG attack 1.57 vs Montreal xG defense 1.32), yielding a combined total of 2.77 goals. This season both teams have 67% of matches over 2.5 and 67% of matches with both teams scoring; in the last 5 matches Montreal has 100% over 2.5 while Philadelphia has 60%. Additionally, both sides have 0% clean sheets and concede on average 1.67 (Montreal) and 2.00 (Philadelphia) goals per match, which increases the likelihood of multiple goals in the game. Based on this I estimate probabilities: Over 1.5 ≈78%, Over 2.5 ≈58% and Over 3.5 ≈30%, therefore the strongest and safest signal from the data is Over 1.5.
View Over/Under statisticsHT/FT - half-time and full-time scenario
The most likely HT/FT scenario is 1/1 (home team leads at half and wins), because the hosts led at the break in 2 of their last 5 matches (40%) and average 1.0 goals by half-time in those games, while the visitors have only 0.2 goals by the interval. The away side were behind at the break in 4 of the last 5 matches (80%) and concede an average of 2.0 goals per game this season, which increases the likelihood of the hosts holding a controlled lead after 45 minutes. Over the last 5 matches the hosts score 1.4 goals per game versus 0.8 for the visitors, and xG shows comparable attacking potential (1.60 for Montreal versus 1.57 for Philadelphia), so the hosts’ first-half strengths can translate into the final result. Additionally, the hosts register 3.67 shots on target per game compared with 3.0 for the visitors and have scored a total of 10 first-half goals in the last 5 fixtures, supporting the case for maintaining the lead. Therefore I assign 38% to 1/1 as the strongest signal, 18% to X/X as the second option (hosts were level at half in 67% of matches) and rate the remaining scenarios lower.
View first-half and second-half statisticsStats by half
Game stats
Pre-game profile— what do the season numbers say?
This team profile combines season stats and recent form. In-game statistics appear after the final whistle.
Team stats— who is more efficient?
Compare both teams' attacking and defensive records this season.
Shooting quality
| Montreal Impact | Philadelphia Union | |
|---|---|---|
| Accuracy (shots on target) | 33% | 24% |
| Chance quality (xG per shot) | 0.11 | 0.11 |
| Finishing (goals per shot on target) | 0.28 | 0.20 |
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 games and season record, overall, at home and away.
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.
Montreal Impact is 75% better for: goals scored per game.
1.17 goals / game - Montreal Impact · 0.67 goals / game - Philadelphia Union
Philadelphia Union is 55% better for: goals allowed per game.
2.83 goals / game - Montreal Impact · 1.83 goals / game - Philadelphia Union
Montreal Impact scores in 50% of games (3 of 6 meczów), while Philadelphia Union keeps a clean sheet in 0% (0 of 6 meczów).
Philadelphia Union scores in 67% of games (4 of 6 meczów), while Montreal Impact keeps a clean sheet in 17% (1 of 6 meczów).
How often they score at least...
How often they concede at least...
* Statistics include both teams' home and away games this season.
Both teams scored (BTTS)— how often do both teams score?
How often games involving these teams produce goals at both ends, compared with the league average.
Goal patterns
BTTS and goal count
Goal count (Over/Under)— how often do these games cross the goal lines?
See how often games involving these teams clear each goal line, for the full game and each half.
Full game - team comparison (Over)
Over / Under - Montreal Impact
Over / Under - Philadelphia Union
1st half
2nd half
Game 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.
Montreal Impact is 203% better for: first-half form (half-time points).
1 pts / game - Montreal Impact · 0.33 pts / game - Philadelphia Union
Before half-time (1st half)
After half-time (2nd half)
Montreal Impact - second-half results
Leads at halftime in 33% of games and wins 17%. Sometimes gives up a halftime lead.
Allows 0.5 more goals per game after halftime, a sign that the defense becomes less effective later in games.
Philadelphia Union - second-half results
Allows 0.2 more goals per game after halftime, a sign that the defense becomes less effective later in games.
| 1st half | 2nd half | |
|---|---|---|
| Points per game | 1.20 | 0.80 |
| Goals scored / game | 1.0 | 0.4 |
| Goals allowed / game | 1.0 | 1.4 |
| Average goals per game | 2.0 | 1.8 |
| 1 goal | 100% | 80% |
| 2 goals | 60% | 60% |
| 3 goals | 40% | 20% |
| Clean sheet | 20% | 40% |
| No goal | 40% | 60% |
| Goal difference | 0 | -5 |
| 1st half | 2nd half | |
|---|---|---|
| Points per game | 0.40 | 0.40 |
| Goals scored / game | 0.2 | 0.6 |
| Goals allowed / game | 0.8 | 1.2 |
| Average goals per game | 1.0 | 1.8 |
| 1 goal | 80% | 100% |
| 2 goals | 20% | 60% |
| 3 goals | 0% | 20% |
| Clean sheet | 20% | 0% |
| No goal | 80% | 40% |
| Goal difference | -3 | -3 |
* Table colors show frequency: green is common, yellow is moderate and red is rare. They are not team ratings.
Goals by minute— when do goals arrive?
The parts of a game in which both teams score and allow the most goals.
Most dangerous in minutes 0-15 (2 goals). Concedes most in 76-90 (7). Late-goal balance (76-90): -7 - late phases are a weakness.
Most dangerous in minutes 76-90 (3 goals). Concedes most in 16-30 (3). 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 from completed games this season.
Game profile
Montreal Impact
Philadelphia Union
* The estimated goal total and split, BTTS estimate, 0:0 risk and goal range use public season averages and frequencies for both teams. This is a statistical game profile, not a private model prediction or betting pick. The remaining indicators describe completed games from the season.
League context— is this a high-scoring league?
How both teams compare with league-wide averages (MLS).
Teams vs league
| Montreal Impact | Liga | Philadelphia Union | |
|---|---|---|---|
| Average goals per game | ▲ 4.00 | 3.11 | ▼ 2.50 |
| Both teams scored | ▼ 33% | 53% | ▲ 67% |
| Min. 3 goals (Over 2.5) | ▲ 100% | 62% | ▲ 67% |
| Clean sheets | ▼ 17% | 27% | ▼ 0% |
| Goal before half-time | ▲ 100% | 71% | ▲ 83% |
| Goal after half-time | • 83% | 82% | • 83% |
^ 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 Montreal Impact vs Philadelphia Union?
The MLS match finished Montreal Impact 1:2 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 Montreal Impact vs Philadelphia Union?
Montreal Impact score 1.17 goals per game on average and Philadelphia Union 0.67. The MLS average is 3.11 goals, with Over 2.5 landing in 62% of games. Both teams score in 33% of Montreal Impact's matches and 67% of Philadelphia Union's.
What form are Montreal Impact and Philadelphia Union in?
Over the last 5 games Montreal Impact have a 1-0-4 record (0.60 points per game) and Philadelphia Union 0-0-5 (0.00 points per game).
Where can I find a betting tip and analysis for Montreal Impact vs Philadelphia Union?
This page shows the full statistical context — form, head-to-head, goals, BTTS and Over/Under. The tip, value assessment and full reasoning are in the NoFluffPicks app.