Sydney Kings vs Brisbane Bullets: match prediction on 30 September 2026

The Kings have won four of their last five games, including three straight at home, while the Bullets have lost three of their past five outings. The model projects a Kings win at 75% confidence. That figure would drop if Brisbane can stay within striking distance in the opening quarter and Sydney fail to build an early lead.

Only one defeat in five — a 91:92 loss in Adelaide — breaks that run. They have scored 542 points and conceded 476 across those five games, an average of 108.4 points per game. The Bullets have managed only 83.0 points per game in their last five outings, with 415 scored and 472 conceded.

History weighs heavily here. Sydney Kings have won 12 of the last 13 meetings between these sides. That match was played in Brisbane, where the Bullets were at home and still lost by 40 points. The last time these teams met in Brisbane, the result was 77:117. Sydney have also won 95:80 and 95:70 at home against the Bullets this season.

Sydney Kings are projected to score 102.4 points, Brisbane 83.6. That is a 18.8-point gap, and the model assigns a 0% probability of a draw. The Kings average 26 three-point attempts with 11 successful, while Brisbane attempt 28.5 with 10 made.

A draw would suit Brisbane more than Sydney, but the conditions for that outcome are narrow. If the Bullets can control the tempo in the first quarter and limit Sydney's scoring to under 90, the game becomes competitive. If Sydney start slowly — which they have not done at home this season — Brisbane could creep into it. The model's 0% draw probability assumes both teams perform near their averages.

The gap between them is not just statistical — it is visible in the results.

Brisbane's chances of an outright win are slim. They have beaten Illawarra and New Zealand at home recently, but those were closer games. A 20-point victory is within range. The model's 102.4 to 83.6 projection sits at 18.8 points — close to the average margin over the past year.

If any of those shift — if Brisbane can keep it tight early, if Sydney start cold, or if the model's expectations prove wrong — the conclusion changes. But the data points one way.