Friendlies ClubsFriendlies Clubs
Saturday, 18 July 2026Last updated 12:33
Dijon

Dijon

Home
W
41
Full time
Progres Niederkorn

Progres Niederkorn

Away
DD
GoalVio prediction
Friendly match
Very hard to predict

Friendly match — very hard to predict, not included in accuracy.

Dijon43%
Draw35%
Progres Niederkorn22%
Most likely exact score2-1
Win probability
Dijon
43%
Draw
35%
Progres Niederkorn
22%
Predicted winner is based on the highest win probability.
Intelligence snapshot
Attack
Dijon
100
Progres Niederkorn
34
Defence
Dijon
27
Progres Niederkorn
66
Momentum
Dijon
100
Progres Niederkorn
33
Danger (xG)
Dijon
4.50
Progres Niederkorn
0.90
Both teams to score
Yes

The model projects 2.07 xG for Dijon and 1.16 xG for Progres Niederkorn — strong and meaningful attacking threat respectively. Both sides are generating enough chance quality to make scoring a realistic expectation, which is the primary driver of the BTTS projection.The projected 1-1 scoreline reflects both teams contributing to the goal tally. Even with Dijon holding the stronger xG profile, the opposition's meaningful attacking output is sufficient to keep BTTS in play.The attack-versus-defence matchup supports both teams scoring. Dijon's Attack Score (100) exceeds Progres Niederkorn's Defensive Stability (66), and Progres Niederkorn's attack (34) similarly tests Dijon's defence (27). Neither backline is dominant enough to prevent the other side from scoring.

Over 2.5 goals
Yes

The model projects a combined xG of 3.22 — elevated attacking volume. A combined xG below 2.5 is the model's primary signal that the match is unlikely to produce more than two goals, and this fixture falls below that threshold.The projected 1-1 scoreline stays under the 2.5-goal mark. The probability grid is dominated by scorelines of two goals or fewer, with the over 2.5 market requiring a result that sits outside the model's most likely outcomes.

xG for (Dijon)
4.50
avg per match
xG for (Progres Niederkorn)
0.90
avg per match
xG against (Dijon)
1.80
avg per match
xG against (Progres Niederkorn)
0.90
avg per match

Momentum trend

last 5 matches
DijonDijon
WW
Progres NiederkornProgres Niederkorn
DD

Probability breakdown

42% confidence
Dijon43%
Draw35%
Progres Niederkorn22%

Dijon leads with 43% — the model's highest-probability outcome for this fixture.

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Analysis

Dijon Backed to Win — Model Projects 2-1

Dijon take on Progres Niederkorn in Friendlies Clubs.

Why GoalVio backs this

The xG model projects 2.07 for Dijon and 1.16 for Progres Niederkorn. The gap of 0.91 is not large enough to decisively separate the sides — neither team is creating chances at a level that justifies a clear winner projection.

Biggest risk: null have won 5 of their last 10 matches — a run of form the model acknowledges but cannot fully override. If null carry that momentum into this fixture and score first, the upset probability rises significantly above what the headline verdict suggests.

Risk factors

  • Live conditions — weather, team news, and in-game momentum — can always override statistical projections.
  • The Poisson model works on averages — individual moments of quality can decide matches that data suggests should be close.

Recent form

Dijon

Dijon

W
vs UNFP
15 Jul 2026
52
W
vs Orleans
15 May 2026
32
Progres Niederkorn

Progres Niederkorn

D
@ AS Jeunesse Esch
17 May 2026
00
D
vs Victoria Rosport
13 May 2026
22

Frequently asked questions

Who will win Dijon vs Progres Niederkorn?

GoalVio's model predicts Dijon to win with 42% confidence.

What is the predicted score for Dijon vs Progres Niederkorn?

The most likely scoreline according to GoalVio's Skellam-DC model is 2-1.

Will both teams score in Dijon vs Progres Niederkorn?

GoalVio's model predicts BTTS: Yes — both teams are expected to score.

Will there be over 2.5 goals in Dijon vs Progres Niederkorn?

GoalVio's model predicts Over 2.5 Goals: Yes.

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About this prediction
GoalVio Prediction Engine v5 — updated dailyPowered by Poisson, xG and momentum modelsAccuracy last 30 days: 54%Last model update:
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Responsible gambling: Predictions are generated by a statistical model for informational purposes only. Past accuracy does not guarantee future results. Learn more