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  4. Boulogne vs Dijon

Boulogne vs Dijon 1-1 Score & Prediction Review

Ligue 2 - Season 2026/2027 (Round 5)

Fair result
BoulogneBoulogne

1–1

DijonDijon
2.0Chances (xG)1.7

On these chances Boulogne would usually take 1.6 points and Dijon 1.2; they took 1 and 1. Bookmakers' favourite: Dijon.

Boulogne −0.6 pts vs chancesDijon −0.2 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 →

Boulogne vs Dijon stats: how the match was played

Ligue 2

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

Dijon had more than twice the shots on target

Boulogne

Dijon

3

Shots on target

7

7

Big chances

3

10

Corners

5

2

Yellow cards

2

46%

Possession

55%

The match between Boulogne and Dijon ended 1-1. Our AI model predicted an Dijon win at 46% confidence — the final result went a different way, but individual market predictions still offer useful insight. Overall a solid read on this match, with 2 out of 4 key markets predicted correctly, including Over/Under 2.5 Goals & Over/Under 3.5 Goals.
This match is finished — the model has already priced the next one: Dijon – Rodez prediction & betting tips (Oct 24, 2026).

Boulogne vs Dijon — Our Model vs the Bookmakers

Market check · Ligue 2

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

Dijon to win

Wrong
Our model 46%Bookmakers 37%

Our track record

In 3,513 matches over the last 12 months where our model gave the same pick a 45–50% chance and the bookmakers agreed, it came true 49.3% of the time (bookmakers said 50.5%).

Both Teams to Score →Agrees with bookmakers

Our model’s pick

No, not both

Wrong
Our model 59%Bookmakers 54%

Our track record

In 5,732 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 56.8% of the time (bookmakers said 57.7%).

Over/Under 2.5 Goals →Agrees with bookmakers

Our model’s pick

Under 2.5 goals

Correct
Our model 64%Bookmakers 61%

Our track record

In 3,115 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 61.5% of the time (bookmakers said 62.6%).

Over/Under 3.5 Goals →Agrees with bookmakers

Our model’s pick

Under 3.5 goals

Correct
Our model 83%Bookmakers 80%

Our track record

In 1,741 matches over the last 12 months where our model gave the same pick a 80–85% chance and the bookmakers agreed, it came true 80.4% of the time (bookmakers said 81.3%).

First Half Result →Agrees with bookmakers

Our model’s pick

Draw at half-time

Wrong
Our model 45%Bookmakers 47%

Our track record

In 6,723 matches over the last 12 months where our model gave the same pick a 40–45% chance and the bookmakers agreed, it came true 44.7% of the time (bookmakers said 44.2%).

Boulogne Goals →Agrees with bookmakers

Our model’s pick

Boulogne 0–1 goals

Correct
Our model 80%Bookmakers 72%

Our track record

In 842 matches over the last 12 months where our model gave the same pick a 75–80% chance and the bookmakers agreed, it came true 74.0% of the time (bookmakers said 76.5%).

Dijon Goals →Agrees with bookmakers

Our model’s pick

Dijon 0–1 goals

Correct
Our model 64%Bookmakers 68%

Our track record

In 2,695 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: the last ones before kick-off. Picks are marked on the result after 90 minutes. The track record uses closing odds.

Boulogne vs Dijon 1-1 — How Our Predictions Performed

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

· FT
Ligue 2 - France
BoulogneBoulogne1
DijonDijon1

Winner

X2 75%

BTTS*

No 59%

Correct Score

0-1 15%

Over/Under 2.5 goals

under 64%

Over/Under 3.5 goals

under 73%

Full Time

125%
X30%
246%

Goals Over/Under

<1.5>1.5<2.5>2.5
FT37%63%64%36%
<3.5>3.5<4.5>4.5
FT73%27%91%9%

Team Goals Over/Under

<0.5>0.5<1.5>1.5
Boulogne46%54%80%20%
Dijon30%70%64%36%
<2.5>2.5<3.5>3.5
Boulogne94%6%99%1%
Dijon86%14%95%5%

1st Half

118%
X45%
237%

1st Score

131%
X13%
256%

Half Time/Full Time

2-2

32%

X-X

18%

X-2

18%

1-1

11%

X-1

8%

2-X

5%

1-X

4%

1-2

3%

2-1

2%

Correct Score

0-1

14.8%

0-0

12.9%

1-1

12.8%

1-0

9.8%

0-2

9.3%

1-2

8.0%

2-1

5.3%

2-0

4.4%

0-3

4.1%

2-2

3.6%

1-3

3.2%

*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: Dijon – Rodez prediction & betting tips (Oct 24, 2026).

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