By Boxscorehistory | Pounding The Rock (PtR), 2026-05-31 13:04:01
这轮过山车般系列赛的收尾方式，真是令人难以置信且意想不到。在令人震惊的首战之后，圣安东尼奥马刺与俄克拉荷马雷霆（OKC）之间的这轮对决，基本上演变成了一场场交替出现的惨案，让我时而感觉棒极了（第四场和第六场），时而感觉糟糕透顶（第二、三、五场）。当然，如果马刺昨晚能以一场大胜轻松晋级，我也完全不介意；但我实际上认为，他们展现出的那种注重团队、坚韧不拔的胜利，更能代表这支球队的性格特质。从这个意义上说，这或许是最完美的赢球方式。无论如何，让我们来看看技术统计表中的一些数据：
注： 随着我们进入季后赛阶段，评分所使用的参考对比区间已从自2012-2013赛季以来的常规赛，调整为自2012-2013赛季以来的季后赛。除非下文另有说明，否则该样本库确实包含附加赛。截至2026年5月28日结束，该样本库共包含1200场比赛。
决定比赛胜负的因素
- 表面上看，这场比赛的大部分时间都相当势均力敌；例如，双方在总篮板球的拼抢上不相上下，而且雷霆仅比马刺多出了两次失误。然而，这些细微的差距掩盖了圣安东尼奥所占据的一些关键优势。具体来说，虽然马刺在总篮板数上仅多出两个，但 spiritual 它们在前场篮板上的优势（+5）要明显得多。此外，尽管这没有体现在基础数据表上，但雷霆因自身失误多丢了10分（19分对9分）。
- 通过减少犯规并在更合适的时机犯规，雷霆确实在罚球线上保持了微弱的优势（罚球出手数 +3，罚球命中数 +3）；然而，与本轮系列赛的其他场次相比，罚球得分在两队总得分中所占的比例低得令人意外。
- 雷霆和马刺的投篮命中率也几乎持平（马刺仅高出0.88个百分点）；不过，马刺在出手次数上占据优势（+5），因此他们总共多投进了三个球。
- 更为重要的是，圣安东尼奥更倾向于在外线出手（三分命中数 +5），并且投出了明显更好的三分命中率（高出8.21个百分点）。因此，马刺多投进了五个三分球，使他们在运动战得分上的领先优势达到了11分。
罕见的技术统计数据
- 这场比赛的数据单在真正罕见的纪录方面表现平平，尤其是在球队层面上（因此评分也普普通通）。然而，几位球员的个人表现却脱颖而出：
- 谢伊·吉尔杰斯-亚历山大 (Shai Gilgeous-Alexander) 的表现，仅仅是自1996-1997赛季季后赛以来，第17次有球员在单场季后赛中砍下至少35分和9次助攻，同时正负值却不高于-7。
- 凯森·华莱士 (Cason Wallace) 几乎是雷霆队中唯一表现出色的其他成员，他的数据同样罕见。事实上，在同样的30个季后赛赛季期间，仅有20次有球员在出手不超过10次的情况下，砍下至少17分、投进至少5个三分球，而正负值却不高于-3。
- 朱利安·尚帕尼 (Julian Champagnie) 贡献了自1996-1997年以来，第100次在季后赛中出手少于11次且罚球不超过3次、却砍下至少20分的球员个人表现。
- 卢克·科内特 (Luke Kornet) 仅上场了6分多钟，但这段时间至关重要。从数据统计的角度来看，他的表现也非常有趣，因为他成为了自1996-1997年以来，仅有的第六位在出场不超过6.1分钟内，便能拿到至少4个篮板和1个盖帽的季后赛球员。
- 当我第一次看到这张数据表时，圣安东尼奥马刺均衡的得分分布引起了我的注意，这或许罕见到值得拿出来聊聊。量化这一概念有很多种方法，但其中一种有效的方法是使用所谓的“多样性指数”（diversity index），这是一种旨在衡量一组事物多样性程度的单值指标。在本文的语境中，我们研究的这组事物就是圣安东尼奥马刺的得分，而这些得分的“多样性”体现在它们是由不同的球员所得（例如，19.82%的得分是“文班的得分”，14.41%是“斯蒂芬·卡斯尔 (Stephon Castle) 的得分”，以此类推）。如果我们计算这组得分的基尼-辛普森指数（Gini-Simpson Index，简称GSI），得到的值为0.8572。这意味着——如果我们从马刺的总得分中随机抽取两分，这两分有85.72%的概率来自不同的球员。这个比例相当高；事实上，自1996-1997年以来，在其他4,858次球队季后赛表现中，只有672次（占13.83%，即略高于七分之一）产生的GSI值不低于这一水平。然而，这距离真正的“绝无仅有”还相去甚远。如果你想知道在这个背景下，真正罕见的GSI值是什么样的，不妨看看这一时期分布图的两个极端：
- 在低端，奥兰多魔术在2003年4月23日对阵底特律活塞的首轮对决中，创下了仅为0.617的GSI，这主要是因为特雷西·麦克格雷迪 (Tracy McGrady) 砍下了全队77分中的46分（队内其他人的得分均未超过9分）。
- 在高端，密尔沃基雄鹿在2015年4月30日对阵芝加哥公牛的首轮比赛中，创下了高达0.914的GSI。我特别建议你去看一下后者的技术统计表，因为那真的令人震惊。雄鹿共有13名球员登场，他们的个人得分在2分到8分之间。最终他们输了54分，所以我想，均衡的进攻火力并不总是解决问题的良药。
- 顺便提一句：圣安东尼奥马刺确实拥有自1996-1997年以来季后赛中录得的几个最高GSI值，其中包括排名第11位的值（0.9），这是他们在几周前第二场大胜明尼苏达森林狼的比赛中创下的。
什么是球队数据评分表？
简而言之，这些数据评分表是对胜负双方在基础技术统计上的差值进行评分，评分标准基于获胜球队的差值与特定参考对比区间内其他NBA赢球队伍的对比。你可以把它看作是一张成绩单，用来了解某支获胜球队相对于其他赢球队伍的表现如何。所使用的参考对比区间自2012-2013赛季开始，一直持续到最近的比赛日，且仅对比同一赛事类别的比赛（即常规赛和季后赛不会进行相互对比）。
***数据来源：*用于制作这些数据评分表的基础数据采集自Basketball Reference。在所有情况下，数据均在比赛结束后的次日早晨进行采集。尽管罕见，但数据采集后确实可能出现赛后数据修正，并可能对最终结果产生事后影响。
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: Spurs Return to Finals with gritty Game 7 victory
Box Grades: Spurs Return to Finals with gritty Game 7 victory
What an incredible and unexpected way to end this roller coaster of a series. After a stunning Game 1, this battle between San Antonio and OKC was mostly a series of alternating lopsided wins that left me feeling fantastic (Games 4 and 6) or terrible (Games 2, 3, and 5). Of course, I wouldn’t have minded if the Spurs won in a blowout last night; however, I actually think that the team-oriented, gritty win they put together is emblematic of their character as a group, so in that sense it was the most fitting victory possible. In any case, let’s review some box score stats:
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 28, 2026, this group include 1,200 games.
Factors that decided the game
- Much of this game was quite balanced on the surface; for example, the overall rebounding battle was close, and OKC only had two more turnovers. However, the narrow margins in these particular cases obscure some critical advantages for San Antonio. In particular, while the Spurs only had two more total rebounds, their edge on the offensive glass (+5) was much more substantial. Furthermore, although it doesn’t show up in the basic box score stats, OKC conceded 10 more points off of their turnovers (19 vs. 9).
- By fouling less and at better times, the Thunder did retain a minor edge at the foul line (+3 FTA, + 3 FTM); however, relative to the rest of this series free throws generated a surprisingly small amount of all points scored.
- OKC and San Antonio also had nearly identical FG% (the Spurs were better by 0.88 percentage points); however, the Spurs did have the edge in FGA (+5), so they did make three more shots in total.
- Even more importantly, San Antonio leaned heavier into shooting from distance (+5 3PM) and logged a notably better 3P% (+8.21 percentage points). As a result, the Spurs made five more threes, bring their total margin from the field to +11 points.
Rare Box Score Stats
- This particular box score produced remarkably little in terms of truly rare events, especially at the team level (hence the mediocre grades). However, a few things about individual players stood out:
- SGA’s performance marked just the 17th time since the 1996-1997 postseason that a player had 35+ points and 9+ assists in a playoff game while registering a plus/minus no better than – 7.
- Cason Wallace was just about the only other member of OKC who played well, and his stat line was similarly rare. In fact, over the same 30-season playoff period, there have been just 20 other performances in which a player logged 17+ points, 5+ threes, and no more than 10 shots while still having a plus/minus no better than – 3.
- Julian Champagnie notched the 100th player playoff performance since 1996-1997 that included 20+ points on fewer than 11 shots and three free throws.
- Luke Kornet played just over six minutes, but they were CRITICAL. They were also interesting from a box score perspective, as he became just the sixth player since 1996-1997 to have a playoff performance including 4+ rebounds and 1+ blocks in no more than 6.1 minutes of play.
- When I first saw this box score, it struck me that San Antonio’s balanced scoring might be something rare enough to warrant talking about. There are a lot of different ways that one might quantify this concept, but one useful approach is something called a diversity index, which is a single-value measure designed to capture how diverse a set of things is. In this case, the set in question is San Antonio’s points scored, and those points are diverse in the sense that they were scored by different players (e.g., 19.82% of the points were “Wemby points,” 14.41% were “Castle points,” and so on). If we calculate the Gini-Simpson Index (GSI) for this set we get a value of 0.8572, which means that – if we were to draw two points at random from the Spurs’ set of points – there is an 85.72% chance that those two points would be from different players. That is pretty high; in fact, since 1996-1997, only 672 of 4,858 other team playoff performances (13.83%, or slightly more than 1-in-7) have produced a GSI value at least as high. However, it falls far short of being truly exceptional. If you want to know what a really rare GSI value looks like in this context, consider the two extreme ends of the distribution during this period:
- On the low end, the Orlando Magic recorded a GSI of just 0.617 in a first round matchup against Detroit on April 23, 2003, largely because Tracy McGrady scored 46 of the team’s 77 total points (no one else on the team scored more than nine).
- At the high end, Milwaukee achieved a GSI of 0.914 in a 2015 first round game against Chicago on April 30, 2015. I recommend that you look at this latter box score in particular, because it is truly shocking. 13 players logged minutes for Milwaukee, and their individual point totals ranged from two to eight. They lost by 54, so I guess a balanced attack isn’t always the answer.
- Quick side note: San Antonio does own several of the highest GSI values recorded in the playoffs since 1996-1997, including the 11th ranked value (0.9), which they recorded in their Game 2 blowout victory over Minnesota a few weeks ago.
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