TAFIC vs Black Forest: result 2-1 and analysis
Premier LeagueRegular Season - 27Kick-off on May 23, 2018 at 01:45 PM (UTC)Francistown Stadium, Francistown
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What was the result of TAFIC vs Black Forest?
TAFIC won 2-1 on May 23, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, TAFIC have 4 wins, 3 draws and 8 defeats; Black Forest have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2018 | Extension Gunners(away) | 1-2 | Premier League |
| May 5, 2018 | Sankoyo Bush Bucks(home) | 2-0 | Premier League |
| Apr 28, 2018 | Miscellaneous(home) | 0-1 | Premier League |
| Apr 14, 2018 | Centre Chiefs(home) | 2-1 | Premier League |
| Apr 7, 2018 | Security Systems(away) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2018 | BDF XI(home) | 1-0 | Premier League |
| May 6, 2018 | UF Santos(away) | 0-0 | Premier League |
| Apr 28, 2018 | Security Systems(away) | 0-0 | Premier League |
| Apr 22, 2018 | Extension Gunners(home) | 1-0 | Premier League |
| Apr 14, 2018 | Police XI(away) | 5-4 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 TAFIC win(s), 0 draw(s), 1 Black Forest win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 31, 2017 | Black Forest 1-0 TAFIC | Premier League |
Last archived meeting: Black Forest vs TAFIC on Oct 31, 2017
How many goals should we expect?
TAFIC score 0.9 and concede 1.3 goals per match over their last 15; Black Forest score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| TAFIC | 0.9 | 1.3 | 4 | 7/15 | 6/15 |
| Black Forest | 0.9 | 1.0 | 7 | 5/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | TAFIC | 30 | 8 | 11 | 10 | 27 | 26 | 35 |
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