By Boxscorehistory | Pounding The Rock (PtR), 2026-05-11 14:07:04
我将尽量不对那次决定昨晚比赛走势的判罚做过多评论，而是试着关注积极的一面：这支年轻且缺乏经验的马刺队，在核心球员缺阵近三节的情况下，几乎在客场从一个非常强大（且极度渴望胜利）的对手手中抢下一场季后赛胜利。尤其是考虑到维克托·文班亚马 (Victor Wembanyama) 在这组对决中的关键作用，看到球队在很长一段时间内展现出的竞争力，确实令人印象深刻。无论如何，我先将对比赛的个人情绪放在一边，专注于技术统计，其中有许多引人注目的亮点：
注： 随着我们进入季后赛，评分所使用的参考周期已从 2012-2013 赛季以来的常规赛样本，调整为 2012-2013 赛季以来的季后赛样本。除非下文另有说明，否则该样本包含附加赛。截至 2026 年 5 月 10 日结束，该样本组共包含 1,183 场比赛。
决定比赛的因素
- 两支球队在比赛中都拥有多项微弱优势，但这些优势往往相互抵消。例如，明尼苏达赢得了进攻篮板（+2）和防守篮板（+6），但圣安东尼奥的失误少了三次。
- 圣安东尼奥的犯规也更少，并获得了 +5 的罚球次数差。然而，森林狼在罚球命中率上的巨大优势（+13.13 个百分点）使得马刺队的罚球命中数优势缩小到仅有 +1。
- 圣安东尼奥在投篮命中率（FG%）上拥有 +2.99 个百分点的优势，这本应让他们处于极佳的获胜位置。不幸的是，明尼苏达通过两项巨大优势抵消了这一点。首先，他们的总出手次数多了 8 次，因此在投篮命中数（FGM）上反超 1 个。
- 其次，马刺队在整体投篮效率上的优势显然没有延伸到三分线外，森林狼在三分命中率（3P%）上领先了 13.96 个百分点。综上所述，尽管森林狼在投篮命中率上落后，但他们的运动战得分仍比圣安东尼奥多出 6 分。
罕见的技术统计
- 圣安东尼奥和明尼苏达本场比赛合计三分出手 53 次，这在当今篮坛虽然异常之低，但也并非闻所未闻。事实上，仅在 2026 年季后赛中（即不包括附加赛），就发生过三次两队合计三分出手数等于或低于此数值的情况（大约每 15-16 场比赛发生一次）。然而，令人惊讶的是，这种情况从“完全符合预期”演变为“显著罕见”的速度之快。就在 2016 年季后赛中，绝大多数正式季后赛的三分总出手数都在 53 次或以下；而当马刺队在 2014 年夺冠时，这一比例更是高达 84% 以上。在此之前，三分出手超过 53 次的比赛极其罕见，甚至曾出现过数年未见一例的情况。
- 这是自 2013 年以来第 11 场（约占 1/108，即 0.93%）获胜方投篮命中率劣势至少达 -2.99 个百分点，且三分命中率优势至少达 +13.96 个百分点的季后赛。
- 这也是同期内仅有的第九场输球方投篮命中率至少为 47.67%，且三分命中率低至 23.08% 或更差的季后赛。巧合的是，另一场类似情况也发生在昨天，费城 76 人队投篮命中率为 50%，而三分命中率仅为 22.86%。
- 尽管圣安东尼奥本场比赛的盖帽数（由于显而易见的原因）大幅下降，但他们确实完成了 13 次抢断，因此总共贡献了 16 次“Stocks”（抢断+盖帽），比森林狼的 6 次多出 10 次。自 2013 年以来，只有其他七支季后赛获胜球队（约 1/169）在“Stocks”差值上表现得如此糟糕或更差。
什么是球队评分数据表？
简而言之，这些数据表对胜负双方的基础统计数据差值进行评分，评分标准基于获胜方相对于特定参考周期内其他 NBA 获胜方的表现差值。你可以把它看作是一份成绩单，用来了解某场比赛的获胜方相对于其他获胜方的表现水平。所使用的参考周期从 2012-2013 赛季开始至今，且仅包含同类赛季的比赛（即常规赛和季后赛不会相互比较）。
数据来源： 用于创建这些数据表的基础数据收集自 Basketball Reference 。在所有情况下，数据均在比赛结束后的次日早晨收集。虽然罕见，但数据收集后可能会出现赛后统计修正，这可能会影响最终结果。
由生成式 AI 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: Scrappy Spurs fall just short in frustrating loss
Box Grades: Scrappy Spurs fall just short in frustrating loss
I will attempt to refrain from commenting too much on the play that defined last night’s game and will instead try to focus on the optimistic fact that this young and inexperienced Spurs team very nearly scored a road playoff win against a very good (and extremely desperate) opponent without the support of their best player for nearly three quarters. Especially considering how critical Victor Wembanyama’s role is in this particular matchup, it was impressive to see how effective the team managed to be for long stretches. In any case, for the moment I’ll set my broader feelings about the game aside and focus on the box score, which has a number of striking highlights:
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 10, 2026, this group include 1,183 games.
Factors that decided the game
- Both teams had numerous mild edges in this game, though they were often offsetting. For example, Minnesota won the offensive (+2) and defensive (+6) glass, but San Antonio had three fewer turnovers.
- San Antonio also fouled less and earned a FTA margin of +5. However, the Timberwolves’ big advantage in FT% (+13.13 percentage points) drove the Spurs FTM differential down to just +1.
- San Antonio had a +2.99 percentage-point edge in FG%, which should have put them in a great position to win. Unfortunately, Minnesota offset this with two big advantages. First, they attempted eight more total shots, and thus had a FGM margin of +1.
- Second, the Spurs’ overall edge in shooting efficiency emphatically did not extend to the three-point line, as the Timberwolves had a 3P% margin of +13.96 percentage points. As a result of all this, Minnesota outscored San Antonio by six from the field despite their FG% deficit.
Rare Box Score Stats
- San Antonio and Minnesota combined for 53 shots from distance in this game, which is unusually low but for from unheard of in today’s game. In fact, there have been three other cases in the 2026 playoffs alone (i.e., excluding the play-in) where two teams combined for a 3PA total as low or lower (that’s about once in every 15-16 games). However, what is amazing is how quickly this outcome has gone from being completely expected to notably rare. As recently as the 2016 playoffs, an absolute majority of true playoffs had a 3PA total of 53 or less, and wen the Spurs won the title in 2014 this share was north of 84%. Prior to that, games with more than 53 three-point attempts were exceptionally rare, with no instances in several years.
- This is just the 11th postseason game since 2013 (that’s about 1-in-108, or 0.93% of games) in which the winner had a FG% margin at least as bad as -2.99 percentage points and a 3P% margin as good or better than +13.96 percentage points.
- This was also just the ninth postseason contest in the same period in which the loser shot at least as 47.67% from the field and at least as bad as 23.08% from distance. Oddly enough, one of the other cases happened yesterday as well, as the 76ers shot 50% from the field and 22.86% from distance.
- Though San Antonio’s blocks were (for obvious reasons) way down in this game, they did have 13 steals and thus combined from a total of 16 stocks (steals + blocks), which is 10 more than the Timberwolves’ total of six. Since 2013, only seven other postseason winners (about 1-in-169) have had a stock differential as bad or worse.
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