Kifisia vs Nafplio 2017: result 7-0 and analysis
Gamma Ethniki - Group 7Group 7 - 12Kick-off on June 9, 2021 at 02:00 PM (UTC)Stadio Kaisarianis Michalis Kritikopoulos, Athens
Full time
What was the result of Kifisia vs Nafplio 2017?
Kifisia won 7-0 on June 9, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kifisia have 11 wins, 1 draw and 3 defeats; Nafplio 2017 have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 6, 2021 | Ermis Meligous(home) | 2-0 | Gamma Ethniki - Group 7 |
| May 23, 2021 | Panarkadikos(away) | 2-0 | Gamma Ethniki - Group 7 |
| May 16, 2021 | Atromitos Chiliomodi(home) | 3-0 | Gamma Ethniki - Group 7 |
| May 9, 2021 | Agios Ierotheos(away) | 2-1 | Gamma Ethniki - Group 7 |
| Apr 25, 2021 | Molaikos(home) | 2-1 | Gamma Ethniki - Group 7 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 6, 2021 | Koronida Koiladas(home) | 0-4 | Gamma Ethniki - Group 7 |
| May 23, 2021 | Ermis Meligous(away) | 0-1 | Gamma Ethniki - Group 7 |
| May 16, 2021 | Pangytheatikos(home) | 1-1 | Gamma Ethniki - Group 7 |
| May 9, 2021 | Panarkadikos(away) | 0-1 | Gamma Ethniki - Group 7 |
| Apr 25, 2021 | PAO Rouf(home) | 1-2 | Gamma Ethniki - Group 7 |
How many goals should we expect?
Kifisia score 1.4 and concede 0.5 goals per match over their last 15; Nafplio 2017 score 1.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kifisia | 1.4 | 0.5 | 9 | 3/15 | 5/15 |
| Nafplio 2017 | 1.0 | 1.4 | 3 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Kifisia vs Nafplio 2017?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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