Cabinteely vs Athlone Town: result 3-2 and analysis
First DivisionRegular Season - 8Kick-off on April 12, 2019 at 06:45 PM (UTC)Stradbrook Road, Dublin
Full time
What was the result of Cabinteely vs Athlone Town?
Cabinteely won 3-2 on April 12, 2019.
Goalscorers
- 40′S. DunneAthlone Town
- 61′R. ManleyCabinteely
- 64′K. DaltonCabinteely
- 70′K. DillonAthlone Town
- 85′R. ManleyCabinteely
What is the recent form of both teams?
Over their last 9 matches in all competitions, Cabinteely have 5 wins, 1 draw and 3 defeats; Athlone Town have 3, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2019 | Cobh Ramblers(away) | 1-0 | First Division |
| Apr 1, 2019 | Bohemians(away) | 1-2 | League Cup |
| Mar 29, 2019 | Galway United(home) | 1-0 | First Division |
| Mar 23, 2019 | Limerick(home) | 1-2 | First Division |
| Mar 15, 2019 | Drogheda United(away) | 4-1 | First Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2019 | Drogheda United(home) | 3-5 | First Division |
| Mar 29, 2019 | Limerick(away) | 0-2 | First Division |
| Mar 22, 2019 | Longford Town(home) | 0-1 | First Division |
| Mar 15, 2019 | Bray Wanderers(away) | 1-0 | First Division |
| Mar 8, 2019 | Shelbourne(home) | 0-2 | First Division |
How many goals should we expect?
Cabinteely score 1.4 and concede 1.2 goals per match over their last 9; Athlone Town score 1.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cabinteely | 1.4 | 1.2 | 3 | 5/9 | 5/9 |
| Athlone Town | 1.3 | 1.8 | 2 | 3/8 | 3/8 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Athlone Town | 35 | 13 | 9 | 13 | 42 | 42 | 48 |
A question about Cabinteely vs Athlone Town?
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