Brighton
D
L
D
W
W
W
-
(xG) 1.89 - 0.78
Sunderland
D
D
W
L
L
W
Mathematical Predictions
TOTAL GOALS
Under 2.5
Probability 50.18% Pending
MATCH RESULT
Home Win
Pending

Brighton vs Sunderland

H2H, Match Stats & Analysis
England Premier League
Amex Stadium
In their previous 3 head-to-head matches, Brighton scored an average of 1.00 goals per match, compared to Sunderland 0.00 goals.
Over their last 10 matches, Brighton scored an average of 2.50 and conceded 0.67, whereas Sunderland scored 1.50 and conceded 2.33.

What are the expected goals (xG) predicted in Brighton vs Sunderland match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.89 for Brighton and 0.78 for Sunderland. Mathematical prediction based on the algorithm is Under 2.5 with Poisson distribution probability of 50.18%.

H2H - Brighton vs. Sunderland

08-05-2027
Brighton
-
(HT -)
Sunderland
10-10-2026
Sunderland
0 - 2
(HT 0-0)
Brighton
14-03-2026
Sunderland
0 - 1
(HT 0-0)
Brighton
20-12-2025
Brighton
0 - 0
(HT 0-0)
Sunderland

Team Form (Last 6)

Home Crest Brighton

22.10 @ FK Jablonec 0-0
D
25.10 @ Liverpool 2-0
L
28.10 @ Manchester City 2-2
D
31.10 @ Manchester City 0-1
W
05.11 @ Getafe 0-1
W
08.11 vs Brentford 2-0
W

Away Crest Sunderland

22.10 @ Lech Poznan 1-1
D
25.10 vs Leeds 0-0
D
28.10 vs Brentford 3-2
W
31.10 @ Coventry 3-1
L
05.11 vs Dinamo Zagreb 0-2
L
08.11 vs Chelsea 1-0
W

Brighton (Algorithmic Prediction Track Record)

Last 5 Matches
Date Fixture 1X2 Forecast O/U 2.5 Forecast Final Score
vs Brentford Home Win Over 2.5 2 - 0
@ Getafe Draw Under 2.5 0 - 1
@ Manchester City Draw Over 2.5 0 - 1
@ Liverpool Draw Over 2.5 2 - 0
@ FK Jablonec Draw Under 2.5 0 - 0

Sunderland (Algorithmic Prediction Track Record)

Last 5 Matches
Date Fixture 1X2 Forecast O/U 2.5 Forecast Final Score
vs Chelsea Away Win Over 2.5 1 - 0
vs Dinamo Zagreb Draw Under 2.5 0 - 2
@ Coventry Home Win Over 2.5 3 - 1
vs Brentford Away Win Over 2.5 3 - 2
vs Leeds Draw Under 2.5 0 - 0

Poisson Distribution Algorithm

We utilize a Poisson distribution model to evaluate goal probability (such as the 2.5 threshold) in professional fixtures. By assessing expected offensive and defensive ratings for both home and away sides, our engine calculates precise percentage outcomes for your match predictions.