3. Division - Girone 33. Division - Girone 3
Monday, 27 July 2026Last updated 10:02
Gneist

Gneist

Home
03
Full time
Brann II

Brann II

Away
L
GoalVio prediction
42% confidence
Brann II(42%)
Most likely exact score0-1
Win probability
Gneist
33%
Draw
25%
Brann II
42%
Predicted winner is based on the highest win probability.
Both teams to score
No
Over 2.5 goals
No
xG for (Brann II)
0.00
avg per match
xG against (Brann II)
2.70
avg per match

Momentum trend

last 5 matches
Brann IIBrann II
L

Probability breakdown

42% confidence
Gneist33%
Draw25%
Brann II42%

Brann II leads with 42% — the model's highest-probability outcome for this fixture.

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Analysis

Match insights

Gneist head into this in 3. Division - Girone 3 fixture in unknown form, while Brann II arrive in mixed form (L).

Gneist have limited home data in the engine at this stage. Brann II have found it tough away from home, failing to win any of their last 1 away matches. They average 0.0 goals scored and 3.0 conceded per away game.

There is no head-to-head data between Gneist and Brann II in the engine.

The GoalVio engine projects Brann II to win with 42% confidence. and a most likely scoreline of 0-1. Win probabilities: Gneist 3304%, Draw 2515%, Brann II 4181%. BTTS: No, Over 2.5: No.

Recent form

Brann II

Brann II

L
@ Vard
11 May 2026
03

Frequently asked questions

Who will win Gneist vs Brann II?

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

What is the predicted score for Gneist vs Brann II?

The most likely scoreline according to GoalVio's Skellam-DC model is 0-1.

Will both teams score in Gneist vs Brann II?

GoalVio's model predicts BTTS: No — at least one team is expected to keep a clean sheet.

Will there be over 2.5 goals in Gneist vs Brann II?

GoalVio's model predicts Over 2.5 Goals: No — fewer than 3 goals are expected.

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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