By Boxscorehistory | Pounding The Rock (PtR), 2026-05-05 13:17:21
真气人！如果朱利安·尚帕尼 (Julian Champagnie) 投中了最后一球，我的心情会有多么不同？我可以将第一场比赛视为一次令人遗憾的进攻哑火，但最终并没有让圣安东尼奥付出任何代价；事实上，它本可以被描绘成一个突显文班在得分陷入困境（这种情况不太可能再次发生）时，其防守才华是多么强大的事件。相反，这场比赛作为一次痛苦的错失良机被载入了史册。
即便如此，对于数据分析爱好者来说，唯一的慰藉在于，令人失望的事件所带来的打击可以在一定程度上通过与之相关的有趣统计数据来缓解，而这场对决确实产生了一些疯狂的数据。让我们来回顾一下：
注意： 既然我们已经进入了季后赛，用于评级的参考周期已从 2012-2013 赛季以来的常规赛数据集，更改为 2012-2013 赛季以来的季后赛数据集。除非下文另有说明，否则该数据集确实包括附加赛。截至 2026 年 5 月 4 日结束，该样本组共包含 1,171 场比赛。
决定比赛胜负的因素
- 归根结底，两队之间的差距微乎其微。圣安东尼奥多了一次失误，但也多抢了一个进攻篮板，而两队在防守篮板上持平。
- 圣安东尼奥确实多出了 3 次犯规，这帮助明尼苏达取得了 +3 的罚球出手次数 (FTA) 差值。然而，森林狼队糟糕的罚球命中率 (57.14%) 导致他们的罚球命中数 (FTM) 差值实际上为 -2。
- 在罚球线上领先 2 分的情况下，圣安东尼奥在运动战中输掉了比赛。明尼苏达利用在投篮次数（+3）上的微弱优势，以及在投篮命中率（+0.73 个百分点）上的极小优势，取得了 +2 的投篮命中数 (FGM) 差值。
- 马刺队在远投方面的低效是本场比赛的关键，尽管圣安东尼奥比对手多出手了 10 次三分，但两队都只命中了 10 个三分球。如果马刺在这方面的表现达到平均水平，就能多投进 3 个三分球，这足以赢得比赛。维克托·文班亚马 (Victor Wembanyama) 和 达龙·福克斯 (De’Aaron Fox) 是这一失误的主要负责人，两人在三分线外合计 12 投 0 中。
罕见的技术统计数据
- 正如你所料，关于文班的盖帽，这里有很多值得讨论的地方。首先，维克托是历史上唯一一位在季后赛中单场录得 12 次盖帽的球员。事实上，自 1996-1997 赛季季后赛以来，此前季后赛单场盖帽的最高纪录是 10 次，由安德鲁·拜纳姆 (Andrew Bynum) 在 2012年的一场季后赛 对阵掘金队的比赛中创下。
- 其次，在同样的 30 个赛季里，文班在季后赛前五场比赛中录得的盖帽总数（28 次）也是最高纪录。此前的纪录是 27 次，由蒂姆·邓肯 (Tim Duncan) 在 2001-2002 赛季季后赛创下。
- 最后，凭借过去三场比赛的 25 次盖帽，维克托彻底粉碎了过去 30 个赛季中季后赛连续三场比赛盖帽总数的纪录。此前的纪录“仅”为 19 次，由邓肯在 2002-2003 赛季以及 塞尔吉·伊巴卡 (Serge Ibaka) 在 2010-2011 赛季共同保持。
- 人们可以轻易地辩称明尼苏达本应赢得更轻松，因为他们在罚球线上 21 投仅 12 中，丢掉了 9 分。事实上，这是自 2012-2013 赛季以来，仅有的第 21 场获胜球队在至少 21 次罚球尝试中，罚球命中率不高于 57.14% 的季后赛（也就是说，大约每 56 场季后赛才会出现一次）。
- 与此相关的是，这是自 2012-2013 赛季以来的 1,171 场季后赛中，仅有的第 9 次（即大约每 130 场比赛出现一次）获胜球队的投篮命中率差值和罚球命中率差值分别不高于 +0.73 和 -20.63 个百分点。
什么是球队评级统计表？
简而言之，这些统计表对胜负双方的基础数据差值进行评级，评级标准基于获胜球队相对于特定参考周期内其他 NBA 获胜球队的差值表现。可以把它看作是一份成绩单，用来了解某一获胜者相对于其他获胜者的表现。所使用的参考周期从 2012-2013 赛季开始，截止到最近的比赛日期，且仅包含相同类别的比赛（即常规赛和季后赛不会相互比较）。
数据来源： 用于创建这些统计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，并可能对最终结果产生影响。
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: Wemby shatters block records, but Spurs can’t complete 4th quarter comeback
Box Grades: Wemby shatters block records, but Spurs can’t complete 4th quarter comeback
Arrghhhh! How different would I feel if Champagnie had made that last shot? I could view Game 1 as a regrettable offensive underperformance that ultimately cost San Antonio nothing; in fact, it might have been framed as an event which underscored the power of Wemby’s defensive brilliance in the face of scoring struggles that are unlikely to recur. Instead, this game goes into the history books as a painful missed opportunity.
Even so, one saving grace of the analytics enthusiast is that the blow imparted by disappointing events can be mitigated to some extent by how interesting that stats associated with those events are, and this contest produced some wild numbers. Let’s review:
Note: Now that we’ve moved into the postseason, the reference period used for grading changes from the set of regular season games since 2012-2013 to the set of postseason games since 2012-2013. Unless otherwise noted below, this set DOES include play-in games. As of the end of May 4, 2026, this group include 1,171 games.
Factors that decided the game
- At the end of the day, very little separated these teams. San Antonio had one more turnover, but also one more offensive board, and the teams were dead-even in defensive rebounds.
- San Antonio did commit three more fouls, which helped Minnesota earn a FTA margin of +3. However, the Timberwolves dreadful FT% (57.14%) resulted in them actually having a FTM differential of -2.
- With a two-point edge at the free throw line, San Antonio lost this game from the field. Minnesota leveraged a small advantage in field goal attempts (+3), as well as a tiny edge in FG% (+0.73 percentage points) to generate a FGM margin of +2.
- The Spurs’ inefficiency from distance was absolutely critical in this game, as both teams made 10 threes despite San Antonio having 10 more attempts. A perfectly average performance in this area would have generated three more made threes for San Antonio, which would have been enough to win the game. Wembanyama and Fox were the key culprits behind this failure, as they went a combined 0-of-12 from distance.
Rare Box Score Stats
- As you might imagine, there’s a lot to talk about here with respect to Wemby’s blocks. First and foremost, Victor is the only player ever to record 12 blocks in a playoff game. In fact, since the 1996-1997 postseason the previous high in a true playoff game had been 10, achieved by Andrew Bynum in a 2012 playoff contest against the Nuggets.
- Second, Wemby has the highest total number of blocks recorded in the first five games of a playoff run (28) during the same 30-season period. The previous high was 27, set by none other than Tim Duncan in the 2001-2002 postseason.
- Finally, with 25 blocks in his last three games, Victor absolutely crushed the previous record for most blocks in a three-game playoff stretch over the same 30-season period. The previous record was “just” 19, achieved by Tim Duncan in 2002-2003 and Serge Ibaka in 2010-2011.
- One could easily argue that Minnesota should have won this game much more comfortably, since they failed to earn nine of 21 possible points from the charity stripe. In fact, this was just the 21st postseason game since 2012-2013 in which a winning team had a FT% no better than 57.14% on at least 21 attempts (that’s a frequency of about once in every 56 postseason games).
- Relatedly, this is just the ninth time in 1,171 postseason contests since 2012-2013 (i.e., just over once per 130 games) in which a winning team had FG% and FT% differentials no better than +0.73 and -20.63 percentage points, respectively.
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