Arsenal
D
W
D
W
W
W
-
(xG) 2.05 - 0.73
Sunderland
D
D
W
L
L
W
Mathematical Predictions
TOTAL GOALS
Over 2.5
Probability 52.66% Pending
MATCH RESULT
Home Win
Pending

Arsenal vs Sunderland

H2H, Match Stats & Analysis
England Premier League
Emirates Stadium
In their previous 17 head-to-head matches, Arsenal scored an average of 1.82 goals per match, compared to Sunderland 0.53 goals.
Over their last 10 matches, Arsenal scored an average of 2.17 and conceded 0.33, whereas Sunderland scored 1.33 and conceded 2.17.

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

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.05 for Arsenal and 0.73 for Sunderland. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 52.66%.

H2H - Arsenal vs. Sunderland

20-03-2027
Arsenal
-
(HT -)
Sunderland
12-09-2026
Sunderland
0 - 2
(HT 0-0)
Arsenal
07-02-2026
Arsenal
3 - 0
(HT 1-0)
Sunderland
08-11-2025
Sunderland
2 - 2
(HT 1-0)
Arsenal
16-05-2017
Arsenal
2 - 0
(HT 0-0)
Sunderland
29-10-2016
Sunderland
1 - 4
(HT 0-1)
Arsenal
24-04-2016
Sunderland
0 - 0
(HT 0-0)
Arsenal
05-12-2015
Arsenal
3 - 1
(HT 1-1)
Sunderland
20-05-2015
Arsenal
0 - 0
(HT 0-0)
Sunderland
25-10-2014
Sunderland
0 - 2
(HT 0-1)
Arsenal
22-02-2014
Arsenal
4 - 1
(HT 3-0)
Sunderland
14-09-2013
Sunderland
1 - 3
(HT 0-1)
Arsenal
09-02-2013
Sunderland
0 - 1
(HT 0-1)
Arsenal
18-08-2012
Arsenal
0 - 0
(HT 0-0)
Sunderland
11-02-2012
Sunderland
1 - 2
(HT 0-0)
Arsenal
16-10-2011
Arsenal
2 - 1
(HT 1-1)
Sunderland
05-03-2011
Arsenal
0 - 0
(HT 0-0)
Sunderland
18-09-2010
Sunderland
1 - 1
(HT 0-1)
Arsenal

Team Form (Last 6)

Home Crest Arsenal

21.10 @ Bayern Munich 2-2
D
24.10 vs Everton 2-0
W
27.10 @ Fleetwood Town 1-1
D
01.11 @ Liverpool 0-1
W
04.11 @ Slavia Praha 1-2
W
07.11 vs Hull City 1-0
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

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.