By Boxscorehistory | Pounding The Rock (PtR), 2026-04-02 12:30:00
如果我想把这篇文章写得尽可能简短，我只需让你去看我上一篇关于马刺战胜芝加哥公牛的文章即可，因为从表面上看，这两场比赛有惊人的相似之处。这包括非常接近的最终总得分（对阵公牛为 129-114，对阵金州勇士为 127-113），以及文班几乎如出一辙的数据统计。此外，观看这两场比赛的感觉也颇为相似，马刺似乎在大部分时间里都从容地掌控着局面，但领先优势却没达到他们应该达到的程度。在对阵芝加哥时，圣安东尼奥马刺缓慢的开局令人失望；而昨晚对阵勇士，这块“水晶”上的瑕疵则是令人沮丧的第三节。
我必须提醒自己要学会感恩。毕竟，在过去的几个赛季中，马刺大部分时间都在经历两位数的连败。因此，当他们正处于本赛季第二次两位数连胜期间，却抱怨他们目前的轻松胜利并不总是能完美地保持 48 分钟，这反映出我缺乏大局观，我得在这方面改进一下。尤其是考虑到维克托在场上的每一分钟都变得越来越令人叹为观止，而且产出的数据统计中不断包含许多有趣的亮点：
- 这场比赛与对阵公牛的比赛另一个相似之处是马刺出色的犯规差（两次均为 -6）。这是圣安东尼奥产生 +12 罚球次数（FTA）差额的主要动力。尽管马刺的罚球命中率（FT%）略逊于金州勇士（低 3.33 个百分点），但他们在罚球数量上的巨大优势使得圣安东尼奥在罚球线上多拿了 9 分。
- 进攻机会的优势是马刺本场比赛的一个共同主题，部分原因是勇士队倾向于犯规，但也因为圣安东尼奥在篮板上的优势（总篮板 +9，进攻篮板 +6）以及他们的投篮选择。最终，马刺在投篮出手数（FGA）、三分出手数（3PA）和罚球次数（FTA）上分别享有了 +7、+12 和 +12 的领先优势。自 2012-2013 赛季开始以来，在 16,811 场常规赛中，只有 12 场比赛的获胜球队在这三个领域都拥有如此大或更大的领先差额。
- 对圣安东尼奥来说不幸的是，除了文班之外，球队大部分人在投篮效率上都逊于金州勇士。尽管勇士轮换阵容中几乎所有最关键的球员都缺阵，但他们仍打出了 48.84% 的投篮命中率和 40% 的三分命中率。事实上，自 2012-2013 赛季开始以来，只有另外一场常规赛的胜者在投篮命中率（FG%）、三分命中率（3P%）和罚球命中率（FT%）差额分别低至 -1.53、-8.09 和 -3.33 个百分点或更糟的情况下，还能赢下 14 分及以上。另一次发生这种情况是在 2019 年 4 月 2 日的比赛中，当时俄克拉荷马城雷霆以 119-103 战胜了湖人。
- 尽管缺乏效率，但圣安东尼奥在产量上的优势最终胜出，马刺在保持罚球线优势的同时，在运动战得分上也比勇士多出 5 分。
- 额外事实 #1：昨晚，维克托·文班亚马 (Victor Wembanyama) 成为自 1996-1997 赛季开始以来，第 8 位在不到 30 分钟的出场时间内、投篮出手数不超过 22 次且罚球次数不超过 8 次的情况下，在常规赛中砍下 41 分的球员。自 1996-1997 赛季以来，这种情况总共发生过 9 次，克莱·汤普森 (Klay Thompson) 是唯一一位两次达成此壮举的球员。
- 额外事实 #2：虽然没什么关联，但谢伊·吉尔杰斯-亚历山大 (Shai Gilgeous-Alexander) 从未在不到 30 分钟的出场时间内得到过 41 分，在他得到过这么多分数的 22 场比赛中，他的最低罚球次数也有 9 次。
什么是球队评级数据表？
简而言之，这些数据表根据胜负双方的基础统计数据差额进行评级，评级标准基于获胜球队相对于特定参考时期内其他 NBA 获胜球队的差额表现。可以把它看作是一份成绩单，用来了解某场比赛的胜者相对于其他胜者的表现如何。使用的参考时期从 2012-2013 赛季开始到最近的比赛日，且仅包含相同类型的赛季类别（即常规赛和季后赛不会相互比较）。
数据来源： 用于创建这些数据表的基础数据收集自 Basketball Reference 。在所有情况下，数据都是在比赛结束后的次日早晨收集的。虽然罕见，但在数据收集后确实会发生赛后统计修正，并可能影响之后的结果。
由生成式人工智能翻译，译文内容可能不准确或不完整，以原文为准。
点击查看原文：Box Grades: Spurs secure second double-digit win streak of the season in victory over Warriors
Box Grades: Spurs secure second double-digit win streak of the season in victory over Warriors
If I wanted to make this post as short as possible, I would simply direct you to my last article covering the Spurs’ win over Chicago, as superficially these two games have some striking similarities. This includes very similar final point totals (129-114 vs. the Bulls, 127-113 vs. Golden State) and almost mirrored box score stats from Wemby. Furthermore, both games felt kind of similar as I was watching them, in that the Spurs seemed to be comfortably in control most of the time, but not winning by as much as they should be. In the case of Chicago, San Antonio’s slow start was a letdown; last night against the Warriors, the smudge on the crystal was a disappointing third quarter.
I must remind myself to be more appreciative. After all, the Spurs have been collecting double-digit losing streaks for much of the past several seasons, so complaining that their current easy victories aren’t always perfectly crafted for all 48 minutes while they are on their second double-digit winning streak of this season betrays a lack of perspective that I’ll have to work on. This is especially true given that each minute with Victor on the floor is becoming increasingly jaw-dropping, and the box scores produced continue to contain many interesting highlights:
- Another similarity between this game and the contest against the Bulls was the Spurs’ foul excellent foul differential (-6 in both cases). This was the driving force behind San Antonio generating a +12 FTA margin. Although the Spurs’ FT% was slightly worse than Golden State’s (-3.33 percentage points), their substantial advantage in volume allowed San Antonio to score nine more points from the charity stripe.
- Edges in offensive opportunity were a common theme for the Spurs in this game, partly due to the Warriors’ proclivity for fouling, but also because of San Antonio’s advantage in boards (+9 TRB, +6 ORB) and their shot selection. Ultimately, the Spurs enjoyed FGA, 3PA, and FTA margins of +7, +12, and +12, respectively. Since the start of the 2012-2013 season, there have been just 12 other regular season games (out of 16,811) in which the winning team had differentials as large or larger in all three of these areas.
- Unfortunately for San Antonio, most of the team outside of Wemby was lacking in shooting efficiency relative to Golden State, which managed to shoot 48.84% from the field and 40% from distance despite missing almost all of the most critical players in their rotation. In fact, since the start of 2012-2013 just ONE other regular season victor has won by 14+ points with FG%, 3P%, and FT% differentials as bad or worse than -1.53, -8.09, and -3.33 percentage points, respectively. That other occurrence was an April 2, 2019 game in which OKC triumphed over the Lakers 119-103.
- Despite this lack of efficiency, San Antonio’s edge in volume won out, as the Spurs managed to build on their advantage from the free throw line by outscoring the Warriors by five from the field.
- Bonus fact #1: Last night, Victor Wembanyama became just the eighth player since the start of the 1996-1997 season to score 41 points in a regular season game in under 30 minutes of play with no more than 22 FGA and eight or fewer FTA. This has actually happened nine times overall since 1996-1997, with Klay Thompson being the only player to accomplish the feat twice.
- Bonus fact #2: Not really related to anything, but Shai Gilgeous-Alexander has never scored 41 points in under 30 minutes of play, and in the 22 games where he has scored that much his minimum number of free throw attempts has been nine.
What are Team Graded Box Scores?
Very briefly, these box scores grade winner-loser differentials for basic box score statistics, with the grade being based on the winning team’s differential relative to other NBA winners during a defined reference period. Think of it like a report card for understanding how a given winner performed relative to other winners. The reference period used runs from the start of the 2012-2013 season to the latest date of play, including only games in the same season category (i.e., regular season and playoff games are not compared to each other).
***Data Source:*The underlying data used to create these box scores was collected fromBasketball Reference. In all cases, the data are collected the morning after the game is played. Although rare, postgame statistical revisions after data collection do occur and may affect the results after the fact.
By Boxscorehistory, via Pounding The Rock