Borough vs Paynesville: result 0-1 and analysis
LFA First DivisionRegular Season - 13Kick-off on December 7, 2025 at 04:00 PM (UTC)
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What was the result of Borough vs Paynesville?
Paynesville won 0-1 on December 7, 2025.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Borough have 3 wins, 5 draws and 4 defeats; Paynesville have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 2, 2025 | Wologizi(away) | 0-6 | LFA First Division |
| Nov 28, 2025 | LISCR(away) | 1-2 | LFA First Division |
| Nov 24, 2025 | Discoveries(home) | 0-2 | LFA First Division |
| Nov 20, 2025 | LPRC Oilers(home) | 0-0 | LFA First Division |
| Nov 17, 2025 | Heaven Eleven(away) | 3-2 | LFA First Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2025 | Gardnersville(away) | 3-5 | LFA First Division |
| Nov 23, 2025 | Heaven Eleven(away) | 3-1 | LFA First Division |
| Nov 19, 2025 | Wologizi(away) | 0-1 | LFA First Division |
| Nov 16, 2025 | LISCR(home) | 1-1 | LFA First Division |
| Nov 12, 2025 | Black Man Warrior(home) | 1-0 | LFA First Division |
How many goals should we expect?
Borough score 1.3 and concede 1.9 goals per match over their last 12; Paynesville score 1.7 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Borough | 1.3 | 1.9 | 2 | 8/12 | 7/12 |
| Paynesville | 1.7 | 2.1 | 1 | 9/15 | 10/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
Borough sit 10th in LFA First Division (33 points from 28 matches) and Paynesville sit 6th (42 points from 28 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Paynesville | 28 | 11 | 9 | 8 | 46 | 45 | 42 |
| 10 | Borough | 28 | 8 | 9 | 11 | 39 | 46 | 33 |
A question about Borough vs Paynesville?
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