Overview
Daegu KOGAS Pegasus will face Suwon KT Sonicboom in a highly anticipated Korean Basketball League (KBL) clash on April 5, 2025, at 16:00 KST at the Daegu Gymnasium. Both teams enter this match in good form. Suwon KT is currently riding a five-game winning streak, showing impressive defensive stability and efficient offense. On the other hand, KOGAS has found rhythm late in the season, winning three of their last five games, relying heavily on their physical presence inside the paint and consistent perimeter shooting.
Suwon KT ranks among the top teams in rebounds and assists, showcasing their well-coordinated ball movement and second-chance opportunities. KOGAS, however, has a slight edge in shooting efficiency, with a higher 3-point and free-throw percentage, making them dangerous, especially at home.
Team Key Players
Daegu KOGAS Pegasus
- Samjosef Belangel: The main floor general, averaging 14.0 points and 4.9 assists per game, controlling the team’s tempo.
- Youssou Ndoye: A dominant center who contributes 8.2 points and 6.3 rebounds, providing physicality inside the paint.
- Andrew Nicholson: An experienced forward with inside and outside scoring ability, contributing solidly on both ends.
Suwon KT Sonicboom
- Rayshaun Hammonds: The most consistent scorer for Suwon KT, averaging 17.9 points and 9.7 rebounds, making him a double-double threat every game.
- Heo Hoon: The heart of Suwon’s backcourt, contributing 13.8 points and 6.2 assists, known for his playmaking and clutch performances.
- Ha Yungi: Provides versatility with his strong rebounding (5.2 rebounds) and solid scoring presence under the basket.
Match Prediction: Over 159.5 Total Points
Given the current form of both teams, this matchup is likely to be high-scoring. Suwon KT’s recent games have regularly surpassed the 160-point mark thanks to their balanced offense. KOGAS, with their improved offensive rhythm and home advantage, is also expected to contribute significantly to the scoreboard. Both teams’ offensive potential and weaknesses in transition defense point to an “Over” prediction.
