Trikala vs Xanthi FC: prediction and stats
Super League 2Group A · Matchday 13Kick-off on January 23, 2022 at 01:00 PM (UTC)Dimotiko Stadio Tríkalon, Trikala
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Trikala have 6 wins, 4 draws and 5 defeats; Xanthi FC have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 13, 2022 | Niki Volos(away) | 0-3 | Super League 2 |
| Dec 29, 2021 | Thesprotos(home) | 2-1 | Super League 2 |
| Dec 19, 2021 | Xanthi FC(away) | 0-5 | Super League 2 |
| Dec 15, 2021 | Pierikos(home) | 1-0 | Super League 2 |
| Dec 12, 2021 | Anagennisi Karditsas(away) | 2-4 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 22, 2022 | Veria(home) | 0-3 | Super League 2 |
| Dec 29, 2021 | Larisa(away) | 0-4 | Super League 2 |
| Dec 19, 2021 | Trikala(home) | 5-0 | Super League 2 |
| Dec 15, 2021 | PAOK II(away) | 1-0 | Super League 2 |
| Dec 11, 2021 | Olympiakos Volos(home) | 2-0 | Super League 2 |
What does the head-to-head say?
Across the last 3 meetings: 0 Trikala wins, 1 draw, 2 Xanthi FC wins.
| Date | Score | Competition |
|---|---|---|
| Dec 19, 2021 | Xanthi FC 5-0 Trikala | Super League 2 |
| Apr 7, 2021 | Trikala 0-0 Xanthi FC | Super League 2 |
| Feb 13, 2021 | Xanthi FC 1-0 Trikala | Super League 2 |
How many goals should we expect?
Trikala score 1.1 and concede 1.3 goals per match over their last 15; Xanthi FC score 1.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Trikala | 1.1 | 1.3 | 6 | 5/15 | 6/15 |
| Xanthi FC | 1.7 | 0.8 | 9 | 3/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Trikala vs Xanthi FC?
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