Blyth Spartans vs Bradford (Park Avenue): prediction and stats
National League - NorthNorth - 22Kick-off on February 9, 2021 at 07:45 PM (UTC)Croft Park, Blyth, Northumberland
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Blyth Spartans have 1 wins, 3 draws and 11 defeats; Bradford (Park Avenue) have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 28, 2020 | Darlington 1883(away) | 0-6 | National League - North |
| Dec 26, 2020 | Gateshead(home) | 2-2 | National League - North |
| Dec 12, 2020 | Brackley Town(away) | 1-2 | National League - North |
| Dec 8, 2020 | Boston United(home) | 0-1 | National League - North |
| Dec 5, 2020 | Kettering Town(away) | 1-2 | National League - North |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 19, 2021 | Chester(home) | 3-3 | National League - North |
| Jan 11, 2021 | Boston United(home) | 1-1 | National League - North |
| Dec 28, 2020 | Curzon Ashton(away) | 0-3 | National League - North |
| Dec 26, 2020 | York(home) | 4-2 | National League - North |
| Dec 15, 2020 | Chester(away) | 1-3 | FA Trophy |
What does the head-to-head say?
Across the last 1 meetings: 0 Blyth Spartans win(s), 1 draw(s), 0 Bradford (Park Avenue) win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 24, 2019 | Bradford (Park Avenue) 0-0 Blyth Spartans | National League - North |
Last archived meeting: Bradford (Park Avenue) vs Blyth Spartans on Aug 24, 2019
How many goals should we expect?
Blyth Spartans score 0.7 and concede 2.5 goals per match over their last 15; Bradford (Park Avenue) score 1.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Blyth Spartans | 0.7 | 2.5 | 1 | 6/15 | 10/15 |
| Bradford (Park Avenue) | 1.7 | 1.9 | 4 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy
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