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DC United vs Charlotte 1-2 Score & Prediction Review

Major League Soccer - Season 2026

Smash-and-grab

Charlotte won with less than half the chances

DC UnitedDC United

1–2

CharlotteCharlotte
3.4Chances (xG)1.2

On these chances DC United would usually take 2.5 points and Charlotte 0.4; they took 0 and 3. Bookmakers' favourite: Charlotte.

DC United −2.5 pts vs chancesCharlotte +2.6 pts vs chances

Calculated by MyGameOdds · xG: our own model

How it works

Chances (xG): every shot gets a value for how likely it was to go in, and we add them up (our own model). Points their chances were worth: how many points teams usually get from chances like these.

Smash-and-grab: the winner created at least 0.8 xG less than the loser. Robbed: a draw where one side created at least 0.8 xG more. Anything else is a fair result. No verdict after extra time or when there's no xG.

Can you trust it? In these games, SportMonks' own xG agreed on who created more in 95% of the wins and 98% of the draws, and Flashscore agreed in 16 of the 20 games we checked by hand.

How we measure →

DC United vs Charlotte stats: how the match was played

Major League Soccer

Whether the result matched the chances each side created, measured with our own xG.

DC United had clearly more shots on target

DC United

Charlotte

11

Shots on target

7

6

Big chances

1

4

Corners

3

2

Yellow cards

2

44%

Possession

56%

The match between DC United and Charlotte ended 1-2. Our AI model correctly predicted an Charlotte win with 37% confidence before kick-off. A strong performance overall — our model hit all 4 key markets for this fixture, correctly calling Full-Time Result, Both Teams To Score, Over/Under 2.5 Goals & Over/Under 3.5 Goals.
This match is finished — the model has already priced the next one: Charlotte – CF Montréal prediction & betting tips (Oct 28, 2026).

DC United vs Charlotte — Our Model vs the Bookmakers

Market check · Major League Soccer

How our model’s pick did in each market, next to the bookmakers’ last odds before kick-off (margin removed): what was correct, what was wrong, and how often our predictions like this one came true over the last 12 months.

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 →Agrees with bookmakers

Our model’s pick

Charlotte to win

Correct
Our model 37%Bookmakers 39%

Our track record

In 2,113 matches over the last 12 months where our model gave the same pick a 35–40% chance and the bookmakers agreed, it came true 43.4% of the time (bookmakers said 43.9%).

Both Teams to Score →Agrees with bookmakers

Our model’s pick

Yes, both score

Correct
Our model 56%Bookmakers 62%

Our track record

In 5,734 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 56.9% of the time (bookmakers said 57.8%).

Over/Under 2.5 Goals →Agrees with bookmakers

Our model’s pick

Over 2.5 goals

Correct
Our model 53%Bookmakers 59%

Our track record

In 5,201 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 57.1% of the time (bookmakers said 56.5%).

Over/Under 3.5 Goals →Agrees with bookmakers

Our model’s pick

Under 3.5 goals

Correct
Our model 70%Bookmakers 63%

Our track record

In 3,987 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 66.7%).

First Half Result →Agrees with bookmakers

Our model’s pick

Draw at half-time

Wrong
Our model 40%Bookmakers 39%

Our track record

In 2,003 matches over the last 12 months where our model gave the same pick a 35–40% chance and the bookmakers agreed, it came true 40.2% of the time (bookmakers said 41.2%).

DC United Goals →Agrees with bookmakers

Our model’s pick

DC United 0–1 goals

Correct
Our model 62%Bookmakers 58%

Our track record

In 3,483 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 64.1% of the time (bookmakers said 64.0%).

Charlotte Goals →Agrees with bookmakers

Our model’s pick

Charlotte 0–1 goals

Wrong
Our model 62%Bookmakers 52%

Our track record

In 2,674 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 63.4% of the time (bookmakers said 63.7%).

Odds: the last ones before kick-off. Picks are marked on the result after 90 minutes. The track record uses closing odds.

DC United vs Charlotte 1-2 — How Our Predictions Performed

The prediction cards below show the pre-match probabilities our AI model generated for DC United vs Charlotte. Correct predictions are highlighted in green, so you can quickly see where the model read this match well.

· FT
Major League Soccer - USA
DC UnitedDC United1
CharlotteCharlotte2

Winner

12 73%

BTTS*

Yes 56%

Correct Score

1-1 12%

Over/Under 2.5 goals

over 53%

Over/Under 3.5 goals

under 60%

Full Time

136%
X27%
237%

Goals Over/Under

<1.5>1.5<2.5>2.5
FT25%75%47%53%
<3.5>3.5<4.5>4.5
FT60%40%83%17%

Team Goals Over/Under

<0.5>0.5<1.5>1.5
DC United29%71%62%38%
Charlotte29%71%61%39%
<2.5>2.5<3.5>3.5
DC United84%16%95%5%
Charlotte84%16%95%5%

1st Half

135%
X40%
225%

1st Score

149%
X7%
244%

Half Time/Full Time

1-1

24%

2-2

18%

X-1

13%

X-X

13%

X-2

13%

1-X

6%

2-X

6%

1-2

3%

2-1

3%

Correct Score

1-1

11.6%

0-1

8.9%

1-0

8.6%

1-2

8.5%

2-1

8.1%

0-0

7.2%

2-2

6.0%

0-2

5.6%

2-0

5.4%

3-1

3.7%

1-3

3.6%

*Probability of each predicted outcome is expressed in percentage (%)

*BTTS - Both teams to score

This match is finished — the model has already priced the next one: Charlotte – CF Montréal prediction & betting tips (Oct 28, 2026).

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