DC United vs Montreal Impact: match statistics
DC United vs Montreal Impact: form, goals and key statistics
Game details
DC United played against Montreal Impact in MLS (United States). The game was played on May 23, 2026. Venue: Audi Field. Final score: 4:4.
Recent form
DC United has 2 wins, 2 draws and 1 loss over its last five games, averaging 1.60 points per game. Montreal Impact has 2 wins, 1 draw and 2 losses, with 1.40 points per game.
Scoring records
DC United scores 1.21 goals per game and allows 1.50. Montreal Impact scores 1.38 and allows 2.08. Games in this league average 3.25 goals.
BTTS and goal totals
Both teams score in 50% of DC United's games and 46% of Montreal Impact's. The Over 2.5 rates are 50% and 77%, compared with league averages of 60% for BTTS and 62% for Over 2.5.
xG and shots
Montreal Impact has the higher season xG average, 1.47 to 1.33 per game. DC United takes 11.9 shots per game, while Montreal Impact takes 13.2.
First-half and second-half trends
DC United leads at halftime in 36% of its games and scores 0.71 goals per game after halftime. Montreal Impact leads at halftime in 46% and scores 0.46 after halftime.
When the teams score
DC United's most productive scoring window is minutes 76-90+ (6 goals). For Montreal Impact, it is minutes 0-15 (5 goals). These are past scoring patterns, not predicted goal times.
League scoring profile
MLS games average 3.25 goals. Both teams score in 60% 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
DC United has the home-field advantage: they average 1.17 goals scored and concede 2.00 goals per home match, while Montreal on the road averages 1.14 goals scored and concedes as many as 2.86 goals per away match. The xG differential confirms this trend — DC’s home xG is 1.46 versus visitors’ xG of 1.34 on the road, and xG against is 1.38 for DC compared to 1.58 for Montreal, indicating greater defensive vulnerability for the visitors. The away side loses 86% of their away games and has 43% of away matches without scoring, whereas DC lose 50% at home and fail to score in only 17% of games, giving the hosts an advantage in offensive consistency. In the last 5 matches DC scored 9 goals and averaged 1.6 points per game, while Montreal scored 10 goals and averaged 1.4 points per game, so the visitors are slightly more productive in attack but less consistent in collecting points. Considering the lower average goals conceded by the hosts (2.00 vs 2.86), better xG (1.46 vs 1.34) and the high away loss rate for Montreal, I predict a home win.
View the statistical overviewBTTS - will both teams score?
The "Both Teams To Score" scenario is more likely because Montreal concedes an average of 2.86 goals per game this season, while DC United scores 1.67 goals per game. DC generates xG of 1.61 versus Montreal's xG against 1.58 and averages 5.5 shots on target per game, indicating realistic chances for the visitors to score. Montreal’s last 5 matches show xG_for 2.02 and 10 goals scored (2.0 per game), whereas DC in their last 5 matches conceded an average of 1.6 goals, so the away side can also find the net. Seasonal BTTS rates are 50% for DC and 43% for Montreal, but DC has 80% BTTS in the last 5 matches and the league records 61% BTTS, which further boosts the probability of both teams scoring. Considering Montreal’s high average goals conceded of 2.86, Montreal’s low clean sheet percentage of 14% and supporting xG and form, I assess BTTS at 70% vs 30% and recommend the "Yes" (BTTS - Yes) selection.
View BTTS statisticsOver/Under - goals analysis
I project a total of 2.84 goals (1.60 for DC United and 1.24 for Montreal) calculated as the average xG of both teams against each other: DC has xG 1.61 versus Montreal’s defense 1.58, and Montreal has xG 1.34 versus DC’s defense 1.14. DC United averages 1.67 goals per game, Montreal 1.14, and the league averages 3.26 goals per game, which supports a tendency toward higher-scoring games. Season-to-date Montreal’s matches have finished Over 2.5 goals in 100% of cases and DC in 50% (average 75%), with both teams recording Over 2.5 in 60% of their last 5 rounds; therefore I estimate the probability of Over 2.5 at approximately 72%. An even stronger signal comes from the 1.5 line — DC records Over 1.5 in 83% of matches and Montreal in 100% (average ~91.5%), so I recommend Over 1.5 as the best bet. Over 3.5 has weaker support (33% DC, 43% Montreal), so for that line the Under appears more justified.
View Over/Under statisticsHT/FT - half-time and full-time scenario
Statistics clearly favor DC United: the hosts have won 50% of matches this season versus Montreal’s 14% and led at the break in 4 of 6 cases (67%), while Montreal led at half-time in only 2 matches (29%). In the last 5 fixtures the hosts led at the break in 80% of cases (4 of 5), indicating strong first-half form. On average by half-time DC United score 1.00 and concede 0.33, whereas Montreal score 0.86 and concede 1.29, so the hosts’ HT advantage is measurable. Additionally, xG favors the hosts (1.61 versus 1.34) and the visitors concede on average 2.86 goals per match this season, which increases the likelihood that DC United will maintain a lead through full-time. On this basis I tip 1/1 as the strongest signal (approx. 50% probability), with only about a 6% chance of a Montreal victory, hence the probability distribution concentrates on the hosts leading at the break and winning the match.
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
| DC United | Montreal Impact | |
|---|---|---|
| Accuracy (shots on target) | 34% | 37% |
| Chance quality (xG per shot) | 0.11 | 0.11 |
| Finishing (goals per shot on target) | 0.30 | 0.28 |
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.
DC United is 14% better for: last-5 form.
1.6 pts / game - DC United · 1.4 pts / game - Montreal Impact
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 14% better for: goals scored per game.
1.21 goals / game - DC United · 1.38 goals / game - Montreal Impact
DC United is 39% better for: goals allowed per game.
1.5 goals / game - DC United · 2.08 goals / game - Montreal Impact
DC United scores in 64% of games (9 of 14 meczów), while Montreal Impact keeps a clean sheet in 23% (3 of 13 meczów).
Montreal Impact scores in 69% of games (9 of 13 meczów), while DC United keeps a clean sheet in 29% (4 of 14 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 - DC United
Over / Under - Montreal Impact
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.
Before half-time (1st half)
After half-time (2nd half)
DC United - second-half results
Leads at halftime in 36% of games and wins 29%. Usually protects a halftime lead through the final whistle.
Allows 0.5 more goals per game after halftime, a sign that the defense becomes less effective later in games.
Montreal Impact - second-half results
Leads at halftime in 46% of games and wins 31%. Sometimes gives up a halftime lead.
Allows 0.4 more goals per game after halftime, a sign that the defense becomes less effective later in games.
| 1st half | 2nd half | |
|---|---|---|
| Points per game | 2.60 | 1.00 |
| Goals scored / game | 1.0 | 0.8 |
| Goals allowed / game | 0.0 | 1.6 |
| Average goals per game | 1.0 | 2.4 |
| 1 goal | 80% | 100% |
| 2 goals | 20% | 80% |
| 3 goals | 0% | 40% |
| Clean sheet | 100% | 20% |
| No goal | 20% | 40% |
| Goal difference | +5 | -4 |
| 1st half | 2nd half | |
|---|---|---|
| Points per game | 1.40 | 0.80 |
| Goals scored / game | 0.8 | 0.4 |
| Goals allowed / game | 0.8 | 0.6 |
| Average goals per game | 1.6 | 1.0 |
| 1 goal | 80% | 80% |
| 2 goals | 40% | 20% |
| 3 goals | 40% | 0% |
| Clean sheet | 40% | 40% |
| No goal | 40% | 80% |
| Goal difference | 0 | -1 |
* 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 76-90 (6 goals). Concedes most in 76-90 (7). Late-goal balance (76-90): -1 - late phases are a weakness.
Most dangerous in minutes 0-15 (5 goals). Concedes most in 76-90 (8). Late-goal balance (76-90): -5 - late phases are a weakness.
* 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
DC United
Montreal Impact
* 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
| DC United | Liga | Montreal Impact | |
|---|---|---|---|
| Average goals per game | ▼ 2.71 | 3.25 | ▲ 3.46 |
| Both teams scored | ▼ 50% | 60% | ▼ 46% |
| Min. 3 goals (Over 2.5) | ▼ 50% | 62% | ▲ 77% |
| Clean sheets | ▲ 29% | 22% | • 23% |
| Goal before half-time | ▼ 64% | 77% | ▲ 92% |
| Goal after half-time | ▼ 71% | 81% | ▲ 85% |
^ 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.
Referee context
See how often this referee shows cards, awards penalties and how their matches tend to finish.
FAQ
What was the result of DC United vs Montreal Impact?
The MLS match finished DC United 4:4 Montreal Impact. Full match statistics, the half-by-half breakdown and head-to-head are on this page.
What do the goal statistics show before DC United vs Montreal Impact?
DC United score 1.21 goals per game on average and Montreal Impact 1.38. The MLS average is 3.25 goals, with Over 2.5 landing in 62% of games. Both teams score in 50% of DC United's matches and 46% of Montreal Impact's.
What form are DC United and Montreal Impact in?
Over the last 5 games DC United have a 2-2-1 record (1.60 points per game) and Montreal Impact 2-1-2 (1.40 points per game).
Where can I find a betting tip and analysis for DC United vs Montreal Impact?
The statistical background for DC United vs Montreal Impact — form, head-to-head, goals, BTTS and Over/Under — is on this page. The tip with full reasoning and a value assessment is in the NoFluffPicks app.


