Carlisle vs Tamworth: result 2-1 and analysis
FA Cup4th Round QualifyingKick-off on October 17, 2026 at 02:00 PM (UTC)Brunton Park, Carlisle, Cumbria
Full time
What was the result of Carlisle vs Tamworth?
Carlisle won 2-1 on October 17, 2026.
Goalscorers
- 6′R. LinneyCarlisle
- 45′R. LinneyCarlisle
- 48′R. CalderTamworth
What is the recent form of both teams?
Over their last 15 matches in all competitions, Carlisle have 5 wins, 5 draws and 5 defeats; Tamworth have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2026 | Kidderminster Harriers(home) | 0-0 | National League |
| Oct 3, 2026 | Aldershot Town(away) | 3-1 | National League |
| Sep 29, 2026 | AFC Fylde(away) | 2-0 | National League |
| Sep 26, 2026 | Woking(home) | 2-5 | National League |
| Sep 19, 2026 | Eastleigh(away) | 0-1 | National League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2026 | Barrow(home) | 1-2 | National League |
| Oct 6, 2026 | Leeds United U21(home) | 1-0 | National League Cup |
| Oct 3, 2026 | Hartlepool(away) | 1-0 | National League |
| Sep 30, 2026 | Sutton Utd(home) | 2-0 | National League |
| Sep 26, 2026 | Aldershot Town(away) | 1-5 | National League |
What does the head-to-head say?
Across the last 2 meetings: 1 Carlisle win, 0 draws, 1 Tamworth win.
| Date | Score | Competition |
|---|---|---|
| Mar 14, 2026 | Tamworth 2-1 Carlisle | National League |
| Nov 29, 2025 | Carlisle 2-1 Tamworth | National League |
How many goals should we expect?
Carlisle score 1.7 and concede 1.5 goals per match over their last 15; Tamworth score 1.7 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Carlisle | 1.7 | 1.5 | 3 | 10/15 | 8/15 |
| Tamworth | 1.7 | 2.2 | 3 | 12/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Carlisle vs Tamworth?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy