Sungurlu Belediyespor vs Galatasaray Volleyball: Prediction
Galatasaray Volleyball visit bottom side Sungurlu Belediyespor in Round 3 of the Efeler Ligi on 27 October 2026. Form, numbers and our prediction.

Bottom side host Galatasaray in Round 3
Sungurlu Belediyespor host Galatasaray Volleyball in Round 3 of the Efeler Ligi on Tuesday, 27 October 2026, with the first serve at 13:30 UTC (09:30 ET). It is still early in the 2026/2027 season in Turkey, but the two sides have made very different starts.
Sungurlu Belediyespor sit 13th of 13 after losing both of their opening matches and are yet to take a point. Galatasaray Volleyball are sixth with 3 points from their two games, having won one and lost one.
Form guide
Sungurlu Belediyespor arrive with a record of LL. They opened with a 1-3 home defeat to İstanbul BB on 17 October and followed that with a 0-3 loss away at Gebze Belediyespor on 24 October.
Galatasaray Volleyball's form reads WL, newest first. They were beaten 1-3 away at Halkbank Ankara on 17 October before bouncing back with a 3-0 home win over Onikişubat Belediyespor on 24 October.
Key numbers
The set count underlines the gap between the sides so far. Sungurlu Belediyespor have won just 1 set and lost 6 across their two league matches.
Galatasaray Volleyball have won 4 sets and dropped 3. Their straight-sets victory over Onikişubat Belediyespor was the only match of the two in which either team did not concede a set.
Prediction
Hyper2Play's own model, which weighs points per game, set difference, recent form and home advantage, rates Galatasaray Volleyball as heavy favourites. It gives the visitors a 97% chance of winning against 3% for Sungurlu Belediyespor, and the confidence level is high.
Our pick is Galatasaray Volleyball, based on their stronger start and the hosts' winless opening. This is a model estimate rather than a guarantee, and early-season results can still surprise.
Our own model, from points per game, goal difference, recent form and home advantage. An estimate, not betting advice.
This article was written with automation from verified sports data and checked against that data before publishing. How we work



