New York RB vs DC United: match statistics
New York RB vs DC United: form, goals and key statistics
Game details
New York RB played against DC United in MLS (United States). The game was played on April 22, 2026. Final score: 4:4.
Recent form
New York RB has 1 win, 2 draws and 2 losses over its last five games, averaging 1.00 points per game. DC United has 1 win, 2 draws and 2 losses, with 1.00 points per game.
Scoring records
New York RB scores 1.50 goals per game and allows 2.38. DC United scores 0.50 and allows 1.13. Games in this league average 3.18 goals.
BTTS and goal totals
Both teams score in 75% of New York RB's games and 25% of DC United's. The Over 2.5 rates are 75% and 38%, compared with league averages of 58% for BTTS and 64% for Over 2.5.
xG and shots
New York RB has the higher season xG average, 1.72 to 1.08 per game. New York RB takes 14.5 shots per game, while DC United takes 9.6.
First-half and second-half trends
New York RB leads at halftime in 13% of its games and scores 1.00 goals per game after halftime. DC United leads at halftime in 13% and scores 0.38 after halftime.
When the teams score
New York RB's most productive scoring window is minutes 76-90+ (4 goals). For DC United, it is minutes 76-90+ (2 goals). These are past scoring patterns, not predicted goal times.
League scoring profile
MLS games average 3.18 goals. Both teams score in 58% of games, and 64% 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
New York RB holds a clear offensive edge: at home they average 1.67 goals per game with 14 shots and 4.67 on target, xG 1.76, while DC United away averages 0.4 goals with 8.8 shots and 2.2 on target and xG 0.98. The hosts control the game (61% possession vs 38%) and are far more efficient (12% shot conversion vs 5%), translating to 67% home wins whereas DC has only 20% away wins. DC’s defense away statistically performs decently — they concede 0.6 goals per away game and keep 40% clean sheets, but their average xG against is 1.58, indicating opponents create high-quality chances. In the last 5 matches New York scored 11 goals and average 1.4 points per game, while DC scored 3 goals and average 0.6 points per game; additionally the visitors failed to score in 80% of away matches, significantly lowering their chances. Considering New York’s advantage in xG (1.76 vs 0.98), shots on target (4.67 vs 2.2) and superior efficiency, I tip the home win (65%) — draw 20%, away win 15%.
View the statistical overviewBTTS - will both teams score?
The 'No' scenario is more likely because DC United failed to score in 80% of their matches and have an away goals average of just 0.4, which significantly reduces BTTS chances. New York RB concedes a lot at home — 2.0 goals per game on average and 19 conceded this season, and in their last 5 matches they conceded an average of 3.0 goals, theoretically offering opportunities to the visitors. In the last 5 games New York RB had BTTS at 100% and scored on average 2.2 goals per match, however DC United in their last 5 fixtures had BTTS only 20% and scored on average 0.6 goals per game, highlighting a trend in favor of the visitors failing to score. Looking at xG and shot efficiency: DC United have xG 0.98 away and a shot conversion of 5%, while New York RB have xG 1.23 at home and a 6% conversion, so the visitors display low conversion despite potential chances. Therefore I assess BTTS probability at 30% for 'Yes' and 70% for 'No' and select 'No' as the best pick.
View BTTS statisticsOver/Under - goals analysis
The xG model shows 1.23 for New York RB and 0.98 for DC United; accounting for xG conceded (DC concedes 1.58 xG, NYRB concedes 1.27 xG) yields expected goals of 1.41 for the home side and 1.13 for the visitors, total 2.54. A simple Poisson model at mean 2.54 gives roughly 72% probability of Over 1.5 goals, about 47% for Over 2.5 and around 25% for Over 3.5. However, New York RB’s last 5 matches are 100% Over 2.5; in those five games the hosts have averaged 2.2 goals scored and 3.0 conceded, which raises the risk of a high-scoring affair. Seasonally NYRB have 67% of matches Over 2.5 (DC 20%), and the league has 64% Over 2.5 with an average of 3.18 goals per game, so an upward adjustment increases the probability of Over. On this basis I recommend betting Over as the strongest signal, with Over 1.5 as the preferred line (Over ~82%) and Over 2.5 as a reasonable moderate-strength option (62%).
View Over/Under statisticsHT/FT - half-time and full-time scenario
I project a half-time draw because the visitors drew at the break in 80% of matches over the season and in 60% of their last 5 games, while the hosts had drawn first halves in 40% of their last 5; the average goals at half-time in the last 5 are 1.8 for New York RB versus 0.6 for DC United. However, I expect the hosts to win by full-time: in their last 5 NYRB won 40% of matches compared to 0% wins for DC, and the average goals in the last 5 are 2.2 for the home side vs 0.6 for the visitors. This is corroborated by xG values (1.23 for NYRB vs 0.98 for DC), a higher number of shots and shots on target for the hosts (11 and 2.67 vs 8.8 and 2.2) and a higher conversion rate of 6% versus 5%; additionally DC concede on average 1.58 xG per match versus 1.27 for NYRB, making them more vulnerable to conceding. As a result the strongest signal is a half-time draw and a New York RB win after the match (X/1), which I assign 38% probability to, with the alternative of the home side leading at the break and holding to full-time (1/1) at 18%.
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
| New York RB | DC United | |
|---|---|---|
| Accuracy (shots on target) | 39% | 25% |
| Chance quality (xG per shot) | 0.12 | 0.11 |
| Finishing (goals per shot on target) | 0.27 | 0.21 |
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.
New York RB is 200% better for: goals scored per game.
1.5 goals / game - New York RB · 0.5 goals / game - DC United
DC United is 111% better for: goals allowed per game.
2.38 goals / game - New York RB · 1.13 goals / game - DC United
New York RB scores in 88% of games (7 of 8 meczów), while DC United keeps a clean sheet in 38% (3 of 8 meczów).
DC United scores in 38% of games (3 of 8 meczów), while New York RB keeps a clean sheet in 13% (1 of 8 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 - New York RB
Over / Under - DC United
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.
DC United is 17% better for: first-half form (half-time points).
0.75 pts / game - New York RB · 0.88 pts / game - DC United
Before half-time (1st half)
After half-time (2nd half)
New York RB - second-half results
Leads at halftime in 13% of games and wins 38%. Also wins some games without leading at halftime.
Allows 0.4 more goals per game after halftime, a sign that the defense becomes less effective later in games.
DC United - second-half results
Leads at halftime in 13% of games and wins 25%. Also wins some games without leading at halftime.
Defense stays consistent across the full game.
| 1st half | 2nd half | |
|---|---|---|
| Points per game | 0.40 | 1.40 |
| Goals scored / game | 0.4 | 1.4 |
| Goals allowed / game | 1.2 | 1.8 |
| Average goals per game | 1.6 | 3.2 |
| 1 goal | 100% | 100% |
| 2 goals | 60% | 80% |
| 3 goals | 0% | 60% |
| Clean sheet | 0% | 20% |
| No goal | 60% | 0% |
| Goal difference | -4 | -2 |
| 1st half | 2nd half | |
|---|---|---|
| Points per game | 0.60 | 1.20 |
| Goals scored / game | 0.0 | 0.4 |
| Goals allowed / game | 0.6 | 0.6 |
| Average goals per game | 0.6 | 1.0 |
| 1 goal | 40% | 40% |
| 2 goals | 20% | 40% |
| 3 goals | 0% | 20% |
| Clean sheet | 60% | 60% |
| No goal | 100% | 80% |
| Goal difference | -3 | -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 (4 goals). Concedes most in 31-45 (4). Late-goal balance (76-90): 0.
Most dangerous in minutes 76-90 (2 goals). Concedes most in 76-90 (4). Late-goal balance (76-90): -2 - 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
New York RB
DC United
* 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
| New York RB | Liga | DC United | |
|---|---|---|---|
| Average goals per game | ▲ 3.88 | 3.18 | ▼ 1.63 |
| Both teams scored | ▲ 75% | 58% | ▼ 25% |
| Min. 3 goals (Over 2.5) | ▲ 75% | 64% | ▼ 38% |
| Clean sheets | ▼ 13% | 24% | ▲ 38% |
| Goal before half-time | ▲ 88% | 73% | ▼ 50% |
| Goal after half-time | ▲ 100% | 81% | ▼ 50% |
^ 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 New York RB vs DC United?
The MLS match finished New York RB 4:4 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 RB vs DC United?
New York RB score 1.50 goals per game on average and DC United 0.50. The MLS average is 3.18 goals, with Over 2.5 landing in 64% of games. Both teams score in 75% of New York RB's matches and 25% of DC United's.
What form are New York RB and DC United in?
Over the last 5 games New York RB have a 1-2-2 record (1.00 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 RB vs DC United?
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.


