Tilbury vs Basildon United: result 0-1 and analysis
Non League Div One - Isthmian NorthIsthmian North - 13Kick-off on November 16, 2019 at 03:00 PM (UTC)Chadfields, Tilbury, Essex
Full time
What was the result of Tilbury vs Basildon United?
Basildon United won 0-1 on November 16, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tilbury have 6 wins, 3 draws and 6 defeats; Basildon United have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2019 | Coggeshall Town(away) | 1-1 | Non League Div One - Isthmian North |
| Nov 2, 2019 | Histon(home) | 5-0 | Non League Div One - Isthmian North |
| Oct 26, 2019 | Metropolitan Police(away) | 3-4 | FA Trophy |
| Oct 12, 2019 | Waltham Abbey(home) | 6-2 | FA Trophy |
| Oct 5, 2019 | Bury Town(away) | 2-1 | Non League Div One - Isthmian North |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2019 | AFC Hornchurch(home) | 1-6 | FA Trophy |
| Nov 2, 2019 | Cambridge City(away) | 2-3 | Non League Div One - Isthmian North |
| Oct 26, 2019 | Chesham United(home) | 5-3 | FA Trophy |
| Oct 19, 2019 | Canvey Island(away) | 1-2 | Non League Div One - Isthmian North |
| Oct 12, 2019 | Brentwood Town(away) | 3-2 | FA Trophy |
How many goals should we expect?
Tilbury score 2.1 and concede 1.7 goals per match over their last 15; Basildon United score 2.0 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tilbury | 2.1 | 1.7 | 3 | 11/15 | 10/15 |
| Basildon United | 2.0 | 2.1 | 1 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Tilbury | 42 | 15 | 13 | 14 | 57 | 54 | 58 |
A question about Tilbury vs Basildon United?
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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
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