England remains a strong environment for unpredictable and competitive football. As the top competition, the Efl Cup draws consistent attention from fans and analysts. Our predictions focus on the stats that matter, from team form to goal trends. Each game contributes to a broader understanding of team performance.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Final | ||||
| Arsenal Manchester City 2026-03-22 |
WWDWW
LDLWD |
1X | 0:2 |
58.12%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Semi-finals - Second leg | ||||
| Manchester City Newcastle 2026-02-04 |
DWWLL
LDLWD |
1 DNB | 3:1 |
63.42%
|
| Arsenal Chelsea 2026-02-03 |
WWLWD
WWWWW |
Handicap 2 (0:2) | 1:0 |
69.23%
|
| 1/16-finals | ||||
| Manchester City Norwich 2026-09-17 |
WWWWW
LWWLW |
1 | 5:0 |
84.91%
|
| Everton Wolves 2026-09-16 |
DDDWW
WDLWW |
1 | 1:0 |
83.55%
|
| Fleetwood Sheffield Utd 2026-09-16 |
DWDDW
LWLWD |
Handicap 1 (2:0) | 1:0 |
93.55%
|
| Coventry Aston Villa 2026-09-16 |
LLLWL
LWDLL |
X2 | 1:3 |
89.72%
|
| Manchester Utd Brighton 2026-09-16 |
LWDWL
WDLWW |
X2 | 2:3 |
91.68%
|
| Peterborough Barnsley 2026-09-15 |
DLDLW
LLWWW |
X2 | 3:3 |
55.6%
|
| West Ham Fulham 2026-09-15 |
WWWWD
DLLWL |
1X | 2:3 |
94.7%
|
| Ipswich Arsenal 2026-09-15 |
WLLWW
WWWWW |
2 | 2:4 |
94.87%
|
| Liverpool Tottenham 2026-09-15 |
DWWDD
DDLWL |
1 DNB | 3:1 |
77.29%
|
| Reading Brentford 2026-09-15 |
LWWWD
DDDWW |
Handicap 1 (3:0) | 1:2 |
55.6%
|
| Chelsea Leeds 2026-09-09 |
LWWW
DDWWW |
Handicap 2 (0:2) | 6:3 |
87.15%
|
| Bournemouth Lincoln 2026-09-08 |
DDL
DDWWL |
Handicap 2 (0:3) | 4:0 |
63.91%
|
| Crystal Palace Middlesbrough 2026-09-08 |
WLL
WDWWL |
Handicap 2 (0:2) | 3:0 |
88.08%
|
| Leyton Orient Bradford City 2026-09-08 |
DWLWW
WLLWW |
1X | 1:3 |
68.31%
|
| Sunderland Hull 2026-09-08 |
DWLWL
DWWW |
Handicap 2 (0:2) | 1:0 |
91.29%
|
| Millwall Newcastle 2026-09-08 |
WLLWW
DWWD |
2 | 0:1 |
70.21%
|
Our methodology
We use statistical modeling techniques to produce consistent Efl Cup predictions. This includes models such as Linear Regression to evaluate team performance patterns. We examine both attacking and defensive patterns across recent fixtures. The result is a more consistent and data-backed match analysis.
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