Anagennisi Ierapetra vs Rethymniakos: result 2-1 and analysis
Gamma Ethniki - Group 10Group 10 - 11Kick-off on May 16, 2021 at 02:00 PM (UTC)Stadio Petros Vouzounerakis, Ierapetra
Full time
What was the result of Anagennisi Ierapetra vs Rethymniakos?
Anagennisi Ierapetra won 2-1 on May 16, 2021.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Anagennisi Ierapetra have 3 wins, 1 draw and 5 defeats; Rethymniakos have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2021 | Poros(away) | 1-2 | Gamma Ethniki - Group 10 |
| May 9, 2021 | AEEK INKA(home) | 4-1 | Gamma Ethniki - Group 10 |
| Apr 28, 2021 | Agios Nikolaos(away) | 0-4 | Gamma Ethniki - Group 10 |
| Apr 25, 2021 | Asteras Rethymnou(home) | 3-4 | Gamma Ethniki - Group 10 |
| Apr 18, 2021 | Aris Soudas(away) | 0-3 | Gamma Ethniki - Group 10 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2021 | Atsalenios(home) | 2-3 | Gamma Ethniki - Group 10 |
| May 9, 2021 | Giouchtas(away) | 0-2 | Gamma Ethniki - Group 10 |
| Apr 28, 2021 | Poros(away) | 3-1 | Gamma Ethniki - Group 10 |
| Apr 24, 2021 | AEEK INKA(home) | 0-2 | Gamma Ethniki - Group 10 |
| Apr 18, 2021 | Agios Nikolaos(away) | 0-2 | Gamma Ethniki - Group 10 |
How many goals should we expect?
Anagennisi Ierapetra score 2.1 and concede 2.4 goals per match over their last 9; Rethymniakos score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Anagennisi Ierapetra | 2.1 | 2.4 | 0 | 6/9 | 8/9 |
| Rethymniakos | 1.2 | 1.5 | 3 | 5/15 | 6/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Rethymniakos | 4 | 2 | 1 | 1 | 9 | 6 | 7 |
A question about Anagennisi Ierapetra vs Rethymniakos?
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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