West Brom Predictions, Stats & Form
Recent Form
West Brom Average Stats
Last 10 Matches
AI Predictions
07:30 Upcoming |
Sheffield W
![]() |
|
|
|
? |
? |
? |
? |
07:30 Finished |
West Brom
0
:
0
![]() |
|
|
|
X2 |
U3.5 |
NO |
X2 |
2.5/10 |
14:45 Finished |
West Brom
3
:
0
![]() |
|
|
|
2 |
U3.5 |
NO |
NG |
7.5/10 |
10:00 Finished |
Preston
0
:
2
![]() |
|
|
|
2 |
U3.5 |
NO |
X2 |
8.2/10 |
15:00 Finished |
West Brom
0
:
0
![]() |
|
|
|
1 |
U3.5 |
NO |
1X |
7/10 |
10:00 Finished |
Blackburn
0
:
0
![]() |
|
|
|
X2 |
U2.5 |
NO |
U2.5 |
6.4/10 |
10:00 Finished |
West Brom
2
:
2
![]() |
|
|
|
1 |
O1.5 |
YES |
1X |
8.5/10 |
10:00 Finished |
Bristol City
0
:
1
![]() |
|
|
|
X |
U3.5 |
NO |
U3.5 |
8.5/10 |
West Brom Predictions & Betting Tips
Looking for West Brom predictions? NerdyTips provides AI-generated football tips for West Brom powered by our algorithm, NT Apex. To date, we have analyzed 202 matches involving West Brom with a best-tip accuracy of 70.3%. Predictions cover Final Result, Under/Over, Both Teams to Score, Correct Score, xG, Corners & Ball Possession.
In the current Championship season, West Brom have recorded 13 wins, 13 draws and 18 losses across 44 matches, scoring 47 goals (1.1 per game) and conceding 56, with 13 clean sheets.
Over the last 10 matches, West Brom average 50% ball possession, 1.53 xG and 5.1 corners per game, with a 40% win rate.
West Brom currently have an estimated market value of €80.80m.
NerdyTips is built on full transparency — all completed West Brom predictions stay visible so you can verify our track record anytime. Upcoming match predictions require a subscription.
| Stat | Home | Away | Total |
|---|---|---|---|
| Matches | 22 | 22 | 44 |
| Wins | 8 | 5 | 13 |
| Draws | 9 | 4 | 13 |
| Losses | 5 | 13 | 18 |
| Goals For | 28 | 19 | 47 |
| Goals Against | 25 | 31 | 56 |
| Avg Goals For | 1.3 | 0.9 | 1.1 |
| Avg Goals Against | 1.1 | 1.4 | 1.3 |
| Clean Sheets | 7 | 6 | 13 |
| Failed to Score | 6 | 8 | 14 |
| Player | Age | Pos | Rating |
|---|---|---|---|
|
Daniel Edward Peter Imray
|
22 | MID | 7.11 |
|
N. Phillips
|
28 | DEF | 7.07 |
|
A. Mowatt
|
30 | MID | 7.04 |
|
M. Johnston
|
26 | FWD | 7.01 |
|
K. Bielik
|
27 | DEF | 6.95 |
|
G. Campbell
|
24 | DEF | 6.91 |
|
Alex Williams
|
20 | DEF | 6.90 |
|
M. O’Leary
|
29 | GK | 6.89 |
|
D. Furlong
|
30 | DEF | 6.87 |
|
I. Price
|
22 | MID | 6.86 |
|
O. Diakité
|
25 | MID | 6.84 |
|
C. Styles
|
25 | DEF | 6.83 |
|
J. Molumby
|
26 | MID | 6.82 |
|
C. Mepham
|
28 | DEF | 6.77 |
|
J. Wallace
|
31 | MID | 6.76 |
|
T. Fellows
|
22 | MID | 6.70 |
|
Eseosa Sule
|
19 | FWD | 6.70 |
|
C. Taylor
|
32 | DEF | 6.69 |
|
T. Bany
|
22 | FWD | 6.65 |
|
J. Griffiths
|
24 | GK | 6.64 |
|
Tobias Christopher Collyer
|
21 | MID | 6.61 |
|
J. Jimoh
|
19 | MID | 6.61 |
|
T. Heggem
|
26 | DEF | 6.60 |
|
A. Heggebø
|
24 | FWD | 6.60 |
|
A. Gilchrist
|
22 | DEF | 6.57 |
|
K. Ahearne-Grant
|
28 | MID | 6.56 |
|
Oliver Bostock
|
18 | MID | 6.55 |
|
D. Dike
|
25 | FWD | 6.53 |
|
J. Maja
|
27 | FWD | 6.52 |
|
S. Iling-Junior
|
22 | FWD | 6.51 |
|
Harry Whitwell
|
20 | MID | 6.50 |
|
J. Wildsmith
|
30 | GK | 6.13 |
|
H. Mustapha
|
19 | MID | - |




