Shelbourne vs Kalju Nomme: result 5-2 and analysis
UEFA Europa Conference League2nd Qualifying RoundKick-off on July 23, 2026 at 06:45 PM (UTC)Tolka Park, Dublin
Full time
What was the result of Shelbourne vs Kalju Nomme?
Shelbourne won 5-2 on July 23, 2026.
Goalscorers
- 3′R. FreitasShelbourne
- 21′S. MooreShelbourne
- 25′A. CooteShelbourne
- 40′Enrique LotarKalju Nomme
- 47′S. MooreShelbourne
- 89′Daniel RingShelbourne
- 90′Enrique LotarKalju Nomme
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shelbourne have 5 wins, 8 draws and 2 defeats; Kalju Nomme 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 |
|---|---|---|---|
| Jul 17, 2026 | Kerry(away) | 2-2 | FAI Cup |
| Jul 7, 2026 | Celtic(home) | 1-1 | Friendlies Clubs |
| Jul 3, 2026 | Dundalk(home) | 2-1 | Premier Division |
| Jun 27, 2026 | Sligo Rovers(away) | 2-2 | Premier Division |
| Jun 22, 2026 | Bohemians(home) | 0-3 | Premier Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 19, 2026 | Kuressaare(away) | 0-0 | Meistriliiga |
| Jul 16, 2026 | Linfield(away) | 2-2 | UEFA Europa Conference League |
| Jul 9, 2026 | Linfield(home) | 1-0 | UEFA Europa Conference League |
| Jul 3, 2026 | Nõmme United(away) | 3-1 | Meistriliiga |
| Jun 28, 2026 | Paide(home) | 1-1 | Meistriliiga |
How many goals should we expect?
Shelbourne score 1.5 and concede 1.4 goals per match over their last 15; Kalju Nomme score 1.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shelbourne | 1.5 | 1.4 | 3 | 11/15 | 10/15 |
| Kalju Nomme | 1.7 | 1.0 | 5 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 34 | Shelbourne | 6 | 0 | 2 | 4 | 0 | 7 | 2 |
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