Brighton
W
D
L
D
W
W
-
(xG) 1.85 - 1.04
Everton
W
D
L
L
W
W
Mathematical Predictions
TOTAL GOALS
Over 2.5
Probability 55.12% Pending
MATCH RESULT
Home Win
Pending

Brighton vs Everton

H2H, Match Stats & Analysis
Amex Stadium
In their previous 18 head-to-head matches, Brighton scored an average of 1.22 goals per match, compared to Everton 1.61 goals.
Over their last 10 matches, Brighton scored an average of 3.50 and conceded 0.17, whereas Everton scored 1.33 and conceded 0.83.

What are the expected goals (xG) predicted for this match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.85 for Brighton and 1.04 for Everton. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 55.12%.

H2H - Brighton vs. Everton

24-04-2027
Everton
-
(HT -)
Brighton
13-12-2026
Brighton
-
(HT -)
Everton
31-01-2026
Brighton
1 - 1
(HT 0-0)
Everton
24-08-2025
Everton
2 - 0
(HT 1-0)
Brighton
25-01-2025
Brighton
0 - 1
(HT 0-1)
Everton
17-08-2024
Everton
0 - 3
(HT 0-1)
Brighton
24-02-2024
Brighton
1 - 1
(HT 0-0)
Everton
04-11-2023
Everton
1 - 1
(HT 1-0)
Brighton
08-05-2023
Brighton
1 - 5
(HT 0-3)
Everton
03-01-2023
Everton
1 - 4
(HT 0-1)
Brighton
02-01-2022
Everton
2 - 3
(HT 0-2)
Brighton
28-08-2021
Brighton
0 - 2
(HT 0-1)
Everton
12-04-2021
Brighton
0 - 0
(HT 0-0)
Everton
03-10-2020
Everton
4 - 2
(HT 2-1)
Brighton
11-01-2020
Everton
1 - 0
(HT 1-0)
Brighton
26-10-2019
Brighton
3 - 2
(HT 1-1)
Everton
29-12-2018
Brighton
1 - 0
(HT 0-0)
Everton
03-11-2018
Everton
3 - 1
(HT 1-1)
Brighton
10-03-2018
Everton
2 - 0
(HT 0-0)
Brighton
15-10-2017
Brighton
1 - 1
(HT 0-0)
Everton

Team Form (Last 6)

Home Crest Brighton

18.10 vs Crystal Palace 5-0
W
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

Away Crest Everton

19.09 vs Ipswich 1-0
W
11.10 @ Hull City 2-2
D
17.10 vs Chelsea 0-2
L
24.10 @ Arsenal 2-0
L
29.10 vs Newcastle 3-1
W
02.11 @ Newcastle 0-1
W

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.