Leeds
D
L
D
D
L
W
-
(xG) 2.00 - 1.37
Ipswich
L
W
L
D
D
L
Mathematical Predictions
TOTAL GOALS
Over 2.5
Probability 65.44% Pending
MATCH RESULT
Home Win
Pending

Leeds vs Ipswich

H2H, Match Stats & Analysis
England Premier League
Elland Road
In their previous 18 head-to-head matches, Leeds scored an average of 1.67 goals per match, compared to Ipswich 1.44 goals.
Over their last 10 matches, Leeds scored an average of 1.83 and conceded 0.50, whereas Ipswich scored 2.17 and conceded 2.50.

What are the expected goals (xG) predicted in Leeds vs Ipswich match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.00 for Leeds and 1.37 for Ipswich. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 65.44%.

H2H - Leeds vs. Ipswich

01-05-2027
Ipswich
-
(HT -)
Leeds
05-12-2026
Leeds
-
(HT -)
Ipswich
23-12-2023
Leeds
4 - 0
(HT 3-0)
Ipswich
26-08-2023
Ipswich
3 - 4
(HT 2-3)
Leeds
05-05-2019
Ipswich
3 - 2
(HT 1-1)
Leeds
24-10-2018
Leeds
2 - 0
(HT 1-0)
Ipswich
13-01-2018
Ipswich
1 - 0
(HT 0-0)
Leeds
23-09-2017
Leeds
3 - 2
(HT 2-1)
Ipswich
18-02-2017
Ipswich
1 - 1
(HT 1-1)
Leeds
24-09-2016
Leeds
1 - 0
(HT 1-0)
Ipswich
12-01-2016
Ipswich
2 - 1
(HT 0-1)
Leeds
15-09-2015
Leeds
0 - 1
(HT 0-1)
Ipswich
04-03-2015
Leeds
2 - 1
(HT 0-0)
Ipswich
06-12-2014
Ipswich
4 - 1
(HT 3-1)
Leeds
28-01-2014
Leeds
1 - 1
(HT 0-0)
Ipswich
24-08-2013
Ipswich
1 - 2
(HT 1-1)
Leeds
30-03-2013
Ipswich
3 - 0
(HT 1-0)
Leeds
15-12-2012
Leeds
2 - 0
(HT 1-0)
Ipswich
21-01-2012
Leeds
3 - 1
(HT 0-1)
Ipswich
27-08-2011
Ipswich
2 - 1
(HT 0-1)
Leeds

Team Form (Last 6)

Home Crest Leeds

20.09 vs Crystal Palace 0-0
D
10.10 @ Arsenal 2-1
L
18.10 vs Manchester United 1-1
D
25.10 @ Sunderland 0-0
D
31.10 @ Bournemouth 2-0
L
07.11 vs Tottenham 1-0
W

Away Crest Ipswich

19.09 @ Everton 1-0
L
10.10 vs Fulham 2-1
W
17.10 @ Manchester City 3-2
L
23.10 vs Nottingham Forest 1-1
D
31.10 @ Hull City 2-2
D
08.11 vs Bournemouth 1-2
L

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.