[PtR] 数据评分:马刺将主场优势拱手让给雷霆,裂痕初现

By Boxscorehistory | Pounding The Rock (PtR), 2026-05-23 15:02:11

在经历了一个惊艳的开局后,这场比赛接下来的过程简直就像拔牙一样令人痛苦。但需要记住的是,双方其实又回到了同一起跑线,因为目前的系列赛大比分,正是在双方都守住各自主场的情况下该有的样子。即便如此,队内的氛围依然有些低落,圣安东尼奥马刺无疑将在第四场比赛中陷入背水一战的境地。除此之外,这场比赛的技术统计数据略显平淡,因为与2012-2013赛季以来的其他季后赛赢家相比,雷霆在大多数技术指标上的表现都只能算中规中矩。话虽如此,我们还是能从中看出一些端倪:

注: 随着季后赛的开始,用于评分的参考区间已从2012-2013赛季以来的常规赛数据集,调整为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含附加赛。截至2026年5月22日收官,该样本库共包含1,195场比赛。

决定比赛胜负的因素

  • 雷霆在失误控制上再次占得便宜,失误差值为-4(比马刺少4次),但相比前两场比赛,马刺在这方面已经有了巨大的改观。
  • 篮板球争夺相当胶着。圣安东尼奥在进攻篮板上略占优势(+2),但雷霆在防守篮板上多拿了6个(不过这主要是因为马刺的投篮命中率太低)。
  • 这场比赛在进攻机会的均等性上表现得极为罕见(详见下文)。具体来说,两队罚球次数完全相同,均为33次,而雷霆仅比马刺多出一次运动战出手。由于马刺更倾向于外线投射,他们的三分球出手数多出了3次(三分出手差值为+3)。
  • 归根结底,这场比赛拼的是投篮效率,而圣安东尼奥在各个区域的准星都更逊一筹(尤其是外线)。结果,这支银黑军团在运动战中少进了5个球,少进了4个三分,罚球也少进了一个。

罕见的技术统计数据

  • 老实说,从数据统计的角度来看,这是一场极其平淡的比赛。雷霆取得了一些稍微少见的数据(例如,他们在投篮命中率、三分命中率和罚球命中率差值上的综合表现),但真正让人眼前一亮的数据寥寥无几。
  • 在2012-2013赛季以来的1,195场季后赛中,这是第23次出现有球队在罚中至少27球的情况下,依然输掉15分及以上。
  • 斯蒂芬·卡斯尔 (Stephon Castle) 或许解决了他的失误问题,但遗憾的是,他昨晚的表现让他加入了一个尴尬的行列。具体来说,自1996-1997赛季以来,在真正的季后赛中,这是第三次出现有球员在得到至少14分的情况下,其中至少有78.57%的分数来自罚球线。虽然罚球命中率很稳,但他的运动战投篮表现实在不敢恭维。

什么是球队评分技术统计表?

简而言之,这种技术统计表是对胜负双方基础数据差值进行评分,评分依据是获胜球队的差值与特定参考区间内其他NBA赢家差值的对比。你可以把它看作是一张成绩单,用来直观了解某场比赛的赢家与其他赢家相比表现如何。所使用的参考区间从2012-2013赛季开始一直到最新比赛日,且仅对比同一类别的赛事(即常规赛和季后赛数据不会进行跨类别对比)。

***数据来源:***用于制作这些评分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。尽管罕见,但在数据收集后确实可能出现赛后数据修正,这可能会对最终结果产生事后影响。

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: Cracks emerge as Spurs yield homecourt to Thunder

Box Grades: Cracks emerge as Spurs yield homecourt to Thunder

After an awesome start, this game was about as enjoyable as having all of one’s teeth pulled. It is important to remember that we’re effectively back to being “on serve,” in the sense that the series is exactly where it would be had homecourt held for everyone. Even so, the vibes aren’t great, and San Antonio will undoubtedly enter Game 4 truly desperate. On top of all that, the box score produced from this game is a bit unremarkable, as OKC’s performance relative to other postseason winners since 2012-2013 was more or less average in most areas. Having said so, a handful of items emerge:

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 22, 2026, this group include 1,195 games.

Factors that decided the game

  • OKC won the turnover battle yet again with a turnover margin of -4, but relative to the first two games this felt like a massive improvement.
  • The rebounding battle was quite even. San Antonio held a mild edge in offensive boards (+2), but the Thunder had six more defensive rebounds (though this was mostly due to the Spurs’ poor FG%).
  • This game was remarkable in how balanced offensive opportunity was (more on that below). In particular, both teams had exactly 33 FTA, and OKC had just one more field goal attempt. Because the Spurs leaned into the shots from distance slightly more, they had a 3PA margin of +3.
  • Ultimately, this game came down to shooting efficiency, and San Antonio was worse from everywhere (particularly from distance). As a results, the Silver and Black made five fewer shots, four fewer threes, and one less free throw.

Rare Box Score Stats

  • Honestly, this was a really hum drum game from a statistical point of view. The Thunder achieved mildly rare things (e.g., their joint combination of FG%, 3P%, and FT% differentials), but only a couple of truly eye-opening stats emerge.
  • This is the 23rd occasion in the 1,195 postseason games since 2012-2013 that a team has lost by 15+ points while making at least 27 free throws.
  • Stephon Castle may have solved his turnover problem, but he unfortunately joined another ignominious club with last night’s performance. Specifically, he logged just the third performance in a true playoff game since 1996-1997 in which a player scoring at least 14 points earned at least 78.57% of those points from the free throw line. Solid FT%, but his shooting from the field left much to be desired.

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