本研究目的旨在探討99 及100 學年度HBL 男子甲級前八強之十五項攻守技術的差異，以及不同學年度前四名與後四名之十五項攻守技術表現之差異，並利用其各項攻守技術表現進行得分的相關分析與得分的預測。研究對象以99 及100 學年度進入HBL男子甲級八強準決賽之隊伍為對象，共計有16 隊，56 場賽次。以獨立樣本t 考驗來比較不同學年度前八強與前四名、後四名之十五項攻守技術表現的差異情形，並以積差相關法探討各項攻守技術表現與得分的關聯性，再以逐步迴歸分析進行得分的預測，顯著水準定為 p < .05。結果發現：一、兩學年度前八強在二分球命中率（t = 2.55）、總投籃命中率（t = 2.29）、罰球命中率（t = 3.84）、得分（t =3.18）四項技術表現，99 學年度顯著高於100學年度。二、99 學年度前四名與後四名在二分球命中率（t = 5.29）與總投籃命中率（t = 8.01）二項技術表現，前四名顯著高於後四名；100學年度則在二分球命中率（t = 2.50）、總投籃命中率（t = 4.23）、抄截（t =2.96）三項技術表現，前四名顯著高於後四名。三、得分與二分球命中率（r = .875）、總投籃命中率（r = .753）及罰球命中率（r = .597）等三項攻守技術有顯著正相關，與失誤（r = -.500）有顯著負相關；二分球命中率可預測得分，可解釋變異量數達75.2%，其為得分中最有影響力之變項，亦是影響HBL 男子甲級前八強球隊比賽勝負的重要因子。結論：不同學年度在十五項攻守技術表現中的各項比較及分析，發現各變項間有差異、相關及影響比賽勝負之關鍵。本研究結果顯示近兩年HBL籃球攻守技術之現況，且深入了解及探討其攻守技術表現對比賽勝負的影響，並提供教練從事籃球運動訓練之參考。

　　The purpose of this study was analyzing the difference between 15 Offense-Defense Techniques (ODT) data of top 8 boys in 99’ HBL and 100’ HBL. It is also analyzing the difference between 15 ODT data of top 4 and last 4 in different years. Then we use the performance analyzing from ODT data to make the Points forecasting. The targets of this study are 99’ HBL top 8 boys teams and 100’ HBL top 8 boys teams. Totally, there are 16 teams and 56 games. Using Independent samples T test to analys the the difference between 15 ODT data of top 8, top 4 and last 4 in different years. Using Pearson product-moment correlation to find correlation between OTD performance and Points. And then carried out in a stepwise regression analysis of Points prediction, significance level as p < .05. The results showed that: 1. The performance about Two- point Percentage (t = 2.55), Field goals percentage (t = 2.29), Free throws (t = 3.84) and Points (t = 3.18) of 99’ HBL Top 8 are significantly higher than 100’. 2. The performance about Two- point Percentage (t = 5.29) and Field goals percentage (t = 8.01) of 99’ HBL, Top 4 are significantly higher than last 4. The performance about Two- point Percentage (t = 2.50), Field goals percentage (t = 4.23) and Steal (t = 2.96) of 100’ HBL, Top 4 are significantly higher than last 4. 3. There are significantly positive corelation with Points / Two- point Percentage (r = .875), Points / Field goals percentage (r = .753) and Points / Free throws (r = .597). There is significantly negative corelation with Points / Turn- over (r = -.500). Two- point Percentage can predict Points. Measures of Variation is 75.2%. Two- point Percentage plays a significant factor of HBL boys top 8. Conclusion: Difference and correlation analyzing from 15 ODT data are key points winning or losing to the competition. This study shows the current situation of ODT in HBL for nearly two years. The study provides reference with an in-depth understanding of ODT to coach for the basketball training.