Fulham
L
W
W
L
D
D
-
(xG) 1.15 - 1.44
Arsenal
D
W
D
W
W
W
Mathematical Predictions
TOTAL GOALS
Under 2.5
Probability 52.04% Pending
MATCH RESULT
Draw
Pending

Fulham vs Arsenal

H2H, Match Stats & Analysis
Craven Cottage
In their previous 19 head-to-head matches, Fulham scored an average of 0.95 goals per match, compared to Arsenal 2.16 goals.
Over their last 10 matches, Fulham scored an average of 1.33 and conceded 1.00, whereas Arsenal scored 1.17 and conceded 1.17.

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

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.15 for Fulham and 1.44 for Arsenal. Mathematical prediction based on the algorithm is Under 2.5 with Poisson distribution probability of 52.04%.

H2H - Fulham vs. Arsenal

20-02-2027
Arsenal
-
(HT -)
Fulham
30-12-2026
Fulham
-
(HT -)
Arsenal
02-05-2026
Arsenal
3 - 0
(HT 3-0)
Fulham
18-10-2025
Fulham
0 - 1
(HT 0-0)
Arsenal
01-04-2025
Arsenal
2 - 1
(HT 1-0)
Fulham
08-12-2024
Fulham
1 - 1
(HT 1-0)
Arsenal
31-12-2023
Fulham
2 - 1
(HT 1-1)
Arsenal
26-08-2023
Arsenal
2 - 2
(HT 0-1)
Fulham
12-03-2023
Fulham
0 - 3
(HT 0-3)
Arsenal
27-08-2022
Arsenal
2 - 1
(HT 0-0)
Fulham
18-04-2021
Arsenal
1 - 1
(HT 0-0)
Fulham
12-09-2020
Fulham
0 - 3
(HT 0-1)
Arsenal
01-01-2019
Arsenal
4 - 1
(HT 1-0)
Fulham
07-10-2018
Fulham
1 - 5
(HT 1-1)
Arsenal
18-01-2014
Arsenal
2 - 0
(HT 0-0)
Fulham
24-08-2013
Fulham
1 - 3
(HT 0-2)
Arsenal
20-04-2013
Fulham
0 - 1
(HT 0-1)
Arsenal
10-11-2012
Arsenal
3 - 3
(HT 2-2)
Fulham
02-01-2012
Fulham
2 - 1
(HT 0-1)
Arsenal
26-11-2011
Arsenal
1 - 1
(HT 0-0)
Fulham
04-12-2010
Arsenal
2 - 1
(HT 1-1)
Fulham

Team Form (Last 6)

Home Crest Fulham

10.10 @ Ipswich 2-1
L
17.10 vs Hull City 1-0
W
24.10 @ Coventry 0-1
W
28.10 vs Crystal Palace 0-1
L
31.10 @ Aston Villa 1-1
D
07.11 vs Newcastle 1-1
D

Away 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

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.