JK Tabasalu vs Johvi Phoenix: result 1-3 and analysis
Esiliiga BRegular Season - 6Kick-off on April 12, 2025 at 04:00 PM (UTC)Tabasalu Staadion, Tabasalu
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What was the result of JK Tabasalu vs Johvi Phoenix?
Johvi Phoenix won 1-3 on April 12, 2025.
Goalscorers
- 33′K. PormeisterJK Tabasalu
- 60′538836Johvi Phoenix
- 64′V. VelikanovJohvi Phoenix
- 73′V. VelikanovJohvi Phoenix
What is the recent form of both teams?
Over their last 15 matches in all competitions, JK Tabasalu have 1 wins, 1 draws and 13 defeats; Johvi Phoenix have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2025 | Kuressaare II(away) | 2-3 | Esiliiga B |
| Mar 30, 2025 | Narva U21(away) | 0-1 | Esiliiga B |
| Mar 16, 2025 | Paide II(away) | 2-3 | Esiliiga B |
| Mar 8, 2025 | Tartu Kalev(away) | 0-1 | Esiliiga B |
| Mar 1, 2025 | Maardu(home) | 1-2 | Esiliiga B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2025 | Legion(away) | 1-1 | Esiliiga B |
| Mar 22, 2025 | Läänemaa Haapsalu(home) | 3-1 | Esiliiga B |
| Mar 12, 2025 | Narva U21(home) | 3-3 | Esiliiga B |
| Mar 8, 2025 | Maardu(away) | 0-1 | Esiliiga B |
| Mar 1, 2025 | Paide II(home) | 3-1 | Esiliiga B |
How many goals should we expect?
JK Tabasalu score 1.1 and concede 2.7 goals per match over their last 15; Johvi Phoenix score 2.2 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JK Tabasalu | 1.1 | 2.7 | 0 | 9/15 | 11/15 |
| Johvi Phoenix | 2.2 | 1.8 | 1 | 12/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
JK Tabasalu sit 8th in Esiliiga B (29 points from 24 matches) and Johvi Phoenix sit 3rd (28 points from 16 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Johvi Phoenix | 16 | 9 | 1 | 6 | 42 | 41 | 28 |
| 8 | JK Tabasalu | 24 | 9 | 2 | 13 | 37 | 61 | 29 |
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