KK Igokea vs SK Slavia Prague ERA NBK: Prediction & Preview
KK Igokea host SK Slavia Prague ERA NBK in Basketball Champions League Round 3 on 27 October, both seeking a first win. Form, numbers and our prediction.
Two teams chasing a first win
KK Igokea host SK Slavia Prague ERA NBK in Round 3 of the 2026 Basketball Champions League on Tuesday, 27 October 2026. Tip-off is at 19:00 UTC (15:00 ET).
Both sides have played one game and lost it, leaving them on 0 points. KK Igokea sit 3rd of 28 teams in the table, one place above SK Slavia Prague ERA NBK in 4th.
Form guide
KK Igokea come into the game on the back of a 79-90 defeat away to ALBA Berlin on 13 October 2026. That is their only recorded result in all competitions so far.
SK Slavia Prague ERA NBK also lost on the road last time out, going down 86-97 to Bilbao Basket on 14 October 2026. Like their hosts, they have one game played and one loss across all competitions.
Key numbers
KK Igokea have scored 79 points and conceded 90 in their single outing. SK Slavia Prague ERA NBK have the higher scoring return at 86 points, but they have also allowed more, conceding 97.
Both previous defeats came away from home, so this game gives KK Igokea their first chance in the package to play in front of their own supporters. No individual scoring figures are available for either side.
Prediction
Hyper2Play's own model, which weighs points per game, points difference, recent form and home advantage, makes KK Igokea the favourites. It gives the hosts a 59% chance of victory against 41% for SK Slavia Prague ERA NBK, with medium confidence.
With both teams coming off a single away defeat, home advantage is the main factor tipping the estimate towards KK Igokea. This is a model estimate rather than a guarantee, and the visitors' stronger scoring output in their opener suggests the game could be close.
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

