Thermaikos Thermis vs Byron Kavala: result 1-1 and analysis
Gamma Ethniki - Group 1Group 1 · Matchday 3Kick-off on November 26, 2022 at 01:00 PM (UTC)Gipedo Thermis, Thermis
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What was the result of Thermaikos Thermis vs Byron Kavala?
Thermaikos Thermis and Byron Kavala drew 1-1 on November 26, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Thermaikos Thermis have 8 wins, 2 draws and 5 defeats; Byron Kavala have 3, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2022 | Antheias-Aristinou(away) | 1-0 | Gamma Ethniki - Group 1 |
| Nov 13, 2022 | Agrotikos Asteras(home) | 1-1 | Gamma Ethniki - Group 1 |
| Sep 6, 2022 | Iraklis 1908(away) | 1-0 | Friendlies Clubs |
| Apr 17, 2022 | Orfeas Xanthi(home) | 3-0 | Gamma Ethniki - Group 1 |
| Apr 3, 2022 | Agrotikos Asteras(home) | 1-0 | Gamma Ethniki - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2022 | Panthrakikos(home) | 1-3 | Gamma Ethniki - Group 1 |
| Nov 13, 2022 | M. Alexandros Orfaniou(away) | 3-2 | Gamma Ethniki - Group 1 |
| Oct 2, 2022 | Panachaiki FC(home) | 0-5 | Cup |
| Sep 21, 2022 | Fikis(home) | 1-0 | Cup |
| Aug 31, 2022 | Giannitsa(home) | 2-0 | Cup |
How many goals should we expect?
Thermaikos Thermis score 1.0 and concede 0.8 goals per match over their last 15; Byron Kavala score 1.4 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Thermaikos Thermis | 1.0 | 0.8 | 9 | 2/15 | 4/15 |
| Byron Kavala | 1.4 | 2.0 | 2 | 2/5 | 3/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Thermaikos Thermis | 22 | 6 | 4 | 12 | 19 | 32 | 22 |
A question about Thermaikos Thermis vs Byron Kavala?
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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