Asteras Vlachioti vs Ialysos: result 1-1 and analysis
Football LeagueNorth - 8Kick-off on April 28, 2021 at 12:00 PM (UTC)Gipedo Skalas, Skala
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What was the result of Asteras Vlachioti vs Ialysos?
Asteras Vlachioti and Ialysos drew 1-1 on April 28, 2021.
Goalscorers
- 84′?Asteras Vlachioti
- 90′?Ialysos
What is the recent form of both teams?
Over their last 15 matches in all competitions, Asteras Vlachioti have 7 wins, 4 draws and 4 defeats; Ialysos have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2021 | Egaleo(away) | 0-1 | Football League |
| Apr 18, 2021 | Kallithea(home) | 1-2 | Football League |
| Apr 14, 2021 | Kalamata(away) | 0-2 | Football League |
| Apr 10, 2021 | Niki Volos(home) | 0-0 | Football League |
| Apr 3, 2021 | Rodos(home) | 0-0 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2021 | Rodos(home) | 0-2 | Football League |
| Apr 18, 2021 | Episkopi(home) | 1-0 | Football League |
| Apr 14, 2021 | Aspropyrgos Enosis(away) | 0-3 | Football League |
| Apr 10, 2021 | Santorini 2020(home) | 1-0 | Football League |
| Apr 4, 2021 | Niki Volos(away) | 1-0 | Football League |
How many goals should we expect?
Asteras Vlachioti score 1.2 and concede 0.6 goals per match over their last 15; Ialysos score 1.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Asteras Vlachioti | 1.2 | 0.6 | 9 | 3/15 | 4/15 |
| Ialysos | 1.2 | 1.2 | 7 | 4/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Ialysos | 23 | 6 | 6 | 11 | 17 | 28 | 24 |
A question about Asteras Vlachioti vs Ialysos?
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