New York City vs DC United: match statistics
New York City vs DC United: form, goals and key statistics
Key match information
New York City played DC United in MLS (United States). The match was played on 3 May 2026. Final score: 0:2.
Current form
New York City: 0-2-3, 0.40 points/match. DC United: 1-2-2, 1.00 points/match.
Goal statistics
New York City scores 1.90 and concedes 1.60 goals per match. DC United scores 1.10 and concedes 1.50. League average: 3.20 goals.
BTTS / Over / Under
BTTS: New York City 70%, DC United 40%. Over 2.5: New York City 60%, DC United 50%. League level: BTTS 59%, Over 2.5 61%.
xG, shots and style
New York City has higher xG: 1.51 vs 1.19. New York City: 12.8 shots per match, DC United: 10.6.
Match halves
New York City: half-time lead 40%, second-half goals 1.00. DC United: half-time lead 20%, second-half goals 0.80.
Goals by minute
New York City: 31-45+ (5 goals). DC United: 76-90+ (5 goals). This is historical distribution, not a predicted goal minute.
League context
MLS: 3.20 goals per match, BTTS 59%, Over 2.5 61%.
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 back the home win based on a clear offensive superiority: New York City average 2.67 goals at home with xG 1.73, 15.17 shots and 6.83 on target versus DC United’s 1.00 goals, xG 1.08, 9.67 shots and 2.67 on target. NYC’s conversion rate is higher (18% vs 10% for the visitors) and the hosts have 0% home matches without a goal, while DC have 67% of away fixtures without scoring, which materially reduces the visitors’ chances. Defensively it’s mixed: New York concedes 1.83 goals at home on average, DC concedes 1.17 on the road, but xG against is 1.18 for NYC versus 1.55 for DC, indicating the visitors allow more expected chances even if it hasn’t translated into proportionally more goals conceded yet. In the last 5 matches the hosts are 2-1-2 with 13 scored and 10 conceded, the visitors 1-3-1 with 10 scored and 10 conceded, with average points 1.4 vs 1.2, slightly favoring NYC. Considering the possession edge (56% vs 40%), higher chance volume and the hosts’ low FTS rate, I assess the home side as most likely to win.
View the statistical overviewBTTS - will both teams score?
I back BTTS - Yes because recent form of both teams strongly indicates it: in the last 5 matches New York City had BTTS in 80% of games and DC United in 60% (80% vs 60%). New York City in their last five matches averages 2.6 goals scored and concedes 2.0 (13 for, 10 against), while DC over the same period has 2.0 scored and 2.0 conceded, showing both teams are recently productive and vulnerable to goals. Season-wise, NYC at home records 1.25 goals and 2.0 conceded per game (19 scored, 16 conceded) with 50% of matches seeing BTTS, whereas DC averages 1.0 goal per game and 33% BTTS; additionally opponents against DC generate on average 1.55 xG, which increases the risk of DC conceding. The league overall has 57% BTTS matches, and NYC averages 4.0 shots on target versus DC’s 2.67, confirming the hosts’ offensive advantage and raising the likelihood of goals from both sides. Considering form signals (80% and 60%), xG (1.36 vs 1.55) and the recent 5-match goal averages, I assess the probability of BTTS at 70% versus 30% for No Goal.
View BTTS statisticsOver/Under - goals analysis
I estimate the home side will score about 1.46 goals (home attack xG 1.36 and opponent xG_against 1.55 → average ≈1.46) and the visitors about 1.17 (their xG_for 1.08 and NYC defense xG_against 1.26 → ≈1.17), totaling ~2.63 goals. With that total, a Poisson model yields probability of Over 1.5 ≈74% (P≥2≈0.74), Over 2.5 ≈49% (P≥3≈0.49), and Over 3.5 ≈27% (P≥4≈0.27). Season data support Over 1.5: NYC have 75% of matches above 1.5 goals this season and scored on average 2.6 goals in the last 5 matches (13 goals in 5), while in their last 5 NYC have 80% of matches over 2.5. NYC also generate more shots (12.0 vs 9.67) and more shots on target (4.0 vs 2.67), with similar shot conversion ~10%, which favors goals. Therefore the strongest signal is Over 1.5 (74%); Over 2.5 is essentially even (49/51) and offers no clear edge, while Over 3.5 is unlikely (~27%).
View Over/Under statisticsHT/FT - half-time and full-time scenario
First-half statistics favor the home side: New York City led at the break in 60% of their last five matches and averaged 1.6 goals by half-time in those games, while DC United averaged only 0.4 goals before the break in the same period, increasing the likelihood of a home lead after 45 minutes. NYC’s attack produces an xG of 1.36 versus DC United’s average xG conceded of 1.55, and the hosts average 12 shots and 4 on target with a conversion rate of 10%, so New York City’s volume of chances and a season scoring average of 1.25 support goals for the home side. By full-time the home advantage is also evident in results: New York City’s season win percentage is 50% versus the visitors’ 17%, and the hosts have accrued 6 points at half-time (1.5 pts per match) versus the visitors’ 4 points (0.67 pts per match), therefore the most likely scenario is a lead at the break and a final victory for the home team. However, note the risk of a turnaround — the hosts concede an average of 2.0 goals per season and DC United tend to score after the break (2 goals in minutes 46–60 and 3 goals in minutes 76–90 in their stats), so I also assign moderate probabilities to X/1 and 1/X and 7% to a 2/2 scenario as an alternative.
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
| New York City | DC United | |
|---|---|---|
| Accuracy (shots on target) | 43% | 30% |
| Chance quality (xG per shot) | 0.12 | 0.11 |
| Finishing (goals per shot on target) | 0.35 | 0.34 |
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.
DC United is 150% better for: last-5 form.
0.4 pts / match - New York City · 1 pts / match - DC United
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.
New York City is 73% better for: goals scored per match.
1.9 goals / match - New York City · 1.1 goals / match - DC United
DC United is 7% better for: goals conceded per match.
1.6 goals / match - New York City · 1.5 goals / match - DC United
New York City scores in 80% of matches (8 of 10 matches), while DC United keeps a clean sheet in 30% (3 of 10 matches).
DC United scores in 50% of matches (5 of 10 matches), while New York City keeps a clean sheet in 10% (1 of 10 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 - New York City
Over / Under - DC United
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.
New York City is 50% better for: first-half form (half-time points).
1.5 pts / match - New York City · 1 pts / match - DC United
Before half-time (1st half)
After half-time (2nd half)
New York City - second-half results
Leads at half-time in 40% of matches and wins 30%. Sometimes loses the lead after half-time.
Concedes 0.4 more goals per match after half-time - defensive level drops in the second half.
DC United - second-half results
Leads at half-time in 20% of matches and wins 30%. Also wins matches without a half-time lead.
Concedes 0.1 more goals per match after half-time - defensive level drops in the second half.
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 1.00 | 0.40 |
| Goals scored / match | 0.4 | 0.8 |
| Goals conceded / match | 0.6 | 1.4 |
| Average goals in match | 1.0 | 2.2 |
| 1 goal | 60% | 80% |
| 2 goals | 20% | 60% |
| 3 goals | 20% | 40% |
| Clean sheet | 40% | 20% |
| No goal | 80% | 40% |
| Goal difference | -1 | -3 |
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 0.80 | 1.20 |
| Goals scored / match | 0.4 | 1.0 |
| Goals conceded / match | 1.0 | 1.2 |
| Average goals in match | 1.4 | 2.2 |
| 1 goal | 80% | 60% |
| 2 goals | 40% | 60% |
| 3 goals | 20% | 40% |
| Clean sheet | 40% | 40% |
| No goal | 60% | 60% |
| Goal difference | -3 | -1 |
* 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 (5 goals). Concedes most in 76-90 (6). Late-goal balance (76-90): -2 - late phases are a weakness.
Most dangerous in minutes 76-90 (5 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
New York City
DC United
* 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
| New York City | Liga | DC United | |
|---|---|---|---|
| Average goals in match | ▲ 3.50 | 3.20 | ▼ 2.60 |
| Both teams scored | ▲ 70% | 59% | ▼ 40% |
| Min. 3 goals (Over 2.5) | • 60% | 61% | ▼ 50% |
| Clean sheets | ▼ 10% | 24% | ▲ 30% |
| Goal before half-time | ▲ 80% | 73% | ▼ 60% |
| Goal after half-time | ▲ 90% | 78% | ▼ 60% |
^ 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 New York City vs DC United?
The MLS match finished New York City 0:2 DC United. Full match statistics, the half-by-half breakdown and head-to-head are on this page.
What do the goal statistics show before New York City vs DC United?
New York City score 1.90 goals per game on average and DC United 1.10. The MLS average is 3.20 goals, with Over 2.5 landing in 61% of games. Both teams score in 70% of New York City's matches and 40% of DC United's.
What form are New York City and DC United in?
Over the last 5 games New York City have a 0-2-3 record (0.40 points per game) and DC United 1-2-2 (1.00 points per game).
Where can I find a betting tip and analysis for New York City vs DC United?
Here you can check the pre-match numbers for New York City vs DC United: form, H2H, goals and Over/Under. The pick itself, value and reasoning are published in the NoFluffPicks app.