Liverpool
W
W
D
L
L
W
-
(xG) 1.78 - 1.19
Sunderland
D
D
W
L
L
W
Mathematical Predictions
TOTAL GOALS
Over 2.5
Probability 57.06% Pending
MATCH RESULT
Home Win
Pending

Liverpool vs Sunderland

H2H, Match Stats & Analysis
Anfield
In their previous 16 head-to-head matches, Liverpool scored an average of 1.50 goals per match, compared to Sunderland 0.75 goals.
Over their last 10 matches, Liverpool scored an average of 1.67 and conceded 1.50, whereas Sunderland scored 1.33 and conceded 2.17.

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

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.78 for Liverpool and 1.19 for Sunderland. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 57.06%.

H2H - Liverpool vs. Sunderland

05-01-2027
Sunderland
-
(HT -)
Liverpool
02-12-2026
Liverpool
-
(HT -)
Sunderland
11-02-2026
Sunderland
0 - 1
(HT 0-0)
Liverpool
03-12-2025
Liverpool
1 - 1
(HT 0-0)
Sunderland
02-01-2017
Sunderland
2 - 2
(HT 1-1)
Liverpool
26-11-2016
Liverpool
2 - 0
(HT 0-0)
Sunderland
06-02-2016
Liverpool
2 - 2
(HT 0-0)
Sunderland
30-12-2015
Sunderland
0 - 1
(HT 0-0)
Liverpool
10-01-2015
Sunderland
0 - 1
(HT 0-1)
Liverpool
06-12-2014
Liverpool
0 - 0
(HT 0-0)
Sunderland
26-03-2014
Liverpool
2 - 1
(HT 1-0)
Sunderland
29-09-2013
Sunderland
1 - 3
(HT 0-2)
Liverpool
02-01-2013
Liverpool
3 - 0
(HT 2-0)
Sunderland
15-09-2012
Sunderland
1 - 1
(HT 1-0)
Liverpool
10-03-2012
Sunderland
1 - 0
(HT 0-0)
Liverpool
13-08-2011
Liverpool
1 - 1
(HT 1-0)
Sunderland
20-03-2011
Sunderland
0 - 2
(HT 0-1)
Liverpool
25-09-2010
Liverpool
2 - 2
(HT 1-1)
Sunderland

Team Form (Last 6)

Home Crest Liverpool

20.10 vs Villarreal 4-3
W
25.10 vs Brighton 2-0
W
28.10 vs Chelsea 1-1
D
01.11 vs Arsenal 0-1
L
04.11 @ Fenerbahce 3-2
L
08.11 @ Crystal Palace 1-3
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

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.