Shot-shy
4/10New York RB failed to score in 4 of their last 10 (league 21%).
DC United vs New York RB Prediction, Stats & Betting Tips
Major League Soccer - Season 2026
Wasteful
DC United are scoring fewer goals than their chances (xG) usually bring
−5goals fewer than their chances (xG) in their last 10
77% of teams scoring this many fewer goals than their chances scored more in their next 10 games.
Bookmakers: DC United 54% to winNew York RB 23%
DC United vs New York RB score prediction
Major League Soccer
The goals we expect each side to score, not an exact score: built from both teams' chances, the bookmakers' view and real goals here.
Evenly matched in front of goal
3.0 goals in total, a little under the Major League Soccer average of 3.2.
goals expected
DC United1.7New York RB1.3Calculated by MyGameOdds · xG: our own model
How it works
We look at how many chances each team has created and allowed in its recent games in this league, what the bookmakers expected from those games, and the goals actually scored. Then we compare that with how many goals home and away teams usually score here.
Does it work? Since July 2025, our numbers have been 7% closer to the real goals than just using the league average.
How we measure →Get our AI football prediction and stats for DC United vs New York RB: our model’s probabilities next to the bookmakers’ odds in each market, how often similar predictions came true, and both teams’ recent form.
DC United vs New York RB — Our Model vs the Bookmakers
Market check · Major League Soccer
For each market: our model’s probability for this match, the bookmakers’ probability from the current odds (margin removed), whether the two agree, and how often our predictions like this one came true over the last 12 months. When they disagree, the bookmakers’ number has usually been the better guide.
How to read it
our model’s probabilitybookmakers’ probabilityAgreesDisagreesour model’s pick is / is not the bookmakers’ favouriteTrack record: finished matches from the last 12 months
Full-Time Result →Disagrees with bookmakers
Our model’s pick
New York RB to win
Our model 38%Bookmakers 23%
Our track record
In 1,498 matches over the last 12 months where our model gave the same pick a 35–40% chance but the bookmakers favoured a different outcome, it came true 28.8% of the time: closer to the bookmakers’ 29.5% than to our 35–40%.
Both Teams to Score →Agrees with bookmakers
Our model’s pick
Yes, both score
Our model 55%Bookmakers 63%
Our track record
In 6,374 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 55.2% of the time (bookmakers said 55.0%).
Over/Under 2.5 Goals →Agrees with bookmakers
Our model’s pick
Over 2.5 goals
Our model 53%Bookmakers 63%
Our track record
In 5,076 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 57.0% of the time (bookmakers said 56.4%).
Over/Under 3.5 Goals →Agrees with bookmakers
Our model’s pick
Under 3.5 goals
Our model 69%Bookmakers 58%
Our track record
In 3,883 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.3% of the time (bookmakers said 66.9%).
First Half Result →Disagrees with bookmakers
Our model’s pick
Draw at half-time
Our model 40%Bookmakers 37%
Our track record
In 2,154 matches over the last 12 months where our model gave the same pick a 40–45% chance but the bookmakers favoured a different outcome, it came true 36.8% of the time: closer to the bookmakers’ 37.4% than to our 40–45%.
DC United Goals →Disagrees with bookmakers
Our model’s pick
DC United 0–1 goals
Our model 62%Bookmakers 40%
Our track record
In 361 matches over the last 12 months where our model gave the same pick a 60–65% chance but the bookmakers favoured a different outcome, it came true 43.2% of the time: closer to the bookmakers’ 45.8% than to our 60–65%.
New York RB Goals →Agrees with bookmakers
Our model’s pick
New York RB 0–1 goals
Our model 60%Bookmakers 63%
Our track record
In 2,636 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 63.1% of the time (bookmakers said 63.8%).
Odds can still move before kick-off. The track record uses closing odds.
DC United vs New York RB — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for DC United vs New York RB. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
DC United–
New York RB–Winner
12 74%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 59%
DC United–New York RB–Winner
12 74%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 59%
Full Time
136%
X26%
238%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 24% | 76% | 47% | 53% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 59% | 41% | 83% | 17% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 30% | 70% | 62% | 38% |
| 28% | 72% | 60% | 40% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 85% | 15% | 95% | 5% |
| 83% | 17% | 94% | 6% |
1st Half
129%
X40%
230%
1st Score
143%
X7%
250%
Half Time/Full Time
2-2
22%
1-1
21%
X-X
15%
X-2
13%
X-1
12%
2-X
6%
1-X
5%
1-2
3%
2-1
2%
Correct Score
1-1
11.6%
0-1
8.6%
1-0
8.4%
1-2
8.4%
2-1
8.1%
0-0
7.0%
2-2
6.1%
0-2
6.0%
2-0
5.5%
3-1
3.7%
1-3
3.7%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
DC United vs New York RB: the stats that stand out
Major League Soccer
Where each side is most unusual compared with the rest of the league: clean sheets, scoring first, wins as favourites and more.
How to read it
the teamleague averageshare of games, 0 to 100%New York RB: shot-shy
4/10Calculated by MyGameOdds
How it works
We compare each team's last 10 games in this competition with how often the same thing happens across the whole league (last 12 months). A fact only shows when the team is noticeably different from a typical team. For example, if teams here score first in half their games, a team needs 7 or more out of 10 (or 3 or fewer). We show up to three facts, the most unusual first, never two about the same thing. They describe what happened, not a forecast.
How we measure →DC United vs New York RB: attack vs defence
Major League Soccer
Both sides' chances created and allowed a game, next to the rest of the league, measured with our own xG.
How to read it
other Major League Soccer teamsleague averagelast 10 games↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
- DC United: good attack, weak defence (1.66 xG, 1.78 xGA a game)
- New York RB: weak attack, weak defence (1.19 xG, 1.65 xGA)
Calculated by MyGameOdds · xG: our own model
How it works
xG is our estimate of how many goals a team's chances were worth, from the shots in each match; xGA is the same for the chances it allowed. The dashed lines are the average of the teams shown. A team close to a line is about average. Teams with fewer than 5 games here aren't in the chart yet.
How we measure →DC United vs New York RB form and luck check
Major League Soccer
Whether each side is taking more or fewer points than its chances usually bring.
How to read it
what their chances usually bringoutside the normal range (±4)last 10 Major League Soccer gamesBoth results in line with their chances
- DC UnitedBookmakers: 54% to win today.Wasteful · −5 goals−1.5
- New York RBBookmakers: 23% to win today.Wasteful · −5 goals+1.4
Last 5 matches
New York RBL
W
W
L
D
DC UnitedD
L
D
W
L
W
D
L
Strength rank: DC United 25th of 30 · New York RB 27th of 30
Calculated by MyGameOdds · xG: our own model
How it works
For each of a team's last 10 games, we work out how many points a team usually gets from a game with those chances (xG) for and against, add them up and compare with the points it actually got. We do the same for goals. Strong teams often get a bit more than their chances suggest, so we compare each team with sides of similar strength in this league. That way nobody is flagged just for being good.
We flag a team when the gap is 4 points or more (or 3 goals or more). If some games have no xG data, we use the ones that do.
Does it mean anything? 85% of teams 4+ points ahead of their chances got fewer points in their next 10 games, and 83% of teams 4+ points behind got more. Bookmakers already expect these gaps to even out, so it's a fan's read, not a betting edge.
Strength rank: we rank this season's 30 teams by how much better their attack is than their defence, using chances (xG), the odds and goals. Does it work? Over the first half of a season, this rank predicted the second half better than the league table did.
How we measure →DC United vs New York RB: Over 2.5 & BTTS?
Major League Soccer
How often each side's recent league games had over 2.5 goals and both teams scoring.
How to read it
a game where it happenedleague averagelast 10 Major League Soccer gamesBTTS = both teams scoredNew York RB games go over 2.5 goals less often than the Major League Soccer average (64%), DC United games more often.
Over 2.5 goalsleague 64%
DC United7 of 10
New York RB4 of 10
BTTSleague 63%
DC United7 of 10
New York RB4 of 10
Calculated by MyGameOdds
How it works
For each team we take its last 10 games in this competition from the past 12 months (fewer if it hasn't played 10) and count how many went over 2.5 goals and how many had both teams scoring. The league figure uses all 455 games played here in the last 12 months.
How we measure →DC United vs New York RB corners, cards and goal times
Major League Soccer
Each side's corners and cards a game, and when it scores and concedes, from its recent league games.
How to read it
league averagelast 10 in the league · corners and cards per gameGoal times close to the Major League Soccer average
DC United
New York RB
5.8
Corners won · league 5.0
5.0
5.3
Corners conceded · league 5.0
6.0
1.8
Cards · league 2.1
1.8
1.5
Opponents' cards · league 2.1
2.0
33%
Goals before half-time · league 46%
38%
25%
Goals after 75' · league 24%
25%
44%
Conceded before half-time · league 46%
29%
13%
Conceded after 75' · league 24%
36%
Calculated by MyGameOdds
How it works
We use each team's last 10 games here. Corners and cards only count games where those stats were recorded, and goal times only count games with reliable goal minutes, so some teams have fewer than 10. We compare with the whole league over the last 12 months.
How we measure →Our prediction record
Our last 5 predictions in each team’s matches, by market.
Full-Time Result
DC United1/5
New York RB1/5
Both Teams to Score
DC United2/5
New York RB0/5
Over/Under 2.5 Goals
DC United4/5
New York RB1/5
Over/Under 3.5 Goals
DC United4/5
New York RB5/5
First Half Result
DC United3/5
New York RB2/5
Correct Score
DC United0/5
New York RB0/5
correct predictionwrong prediction