球队攻防效率提升,排名攀升(攻防提效助力排名上扬)

Preparing analysis template
I'm looking to create a concise template for analyzing metrics. It should include a metrics table, a trend chart, and focus on four key factors like lineup adjustments and schedule strength. I want to keep it direct, so I'll provide a couple of options right away:
- A brief Chinese news title with a summary (120-200 characters).
- An outline for a longer article.
- Variants of social media posts.
- An analytical breakdown with KPIs, including formulas.
Additionally, I’ll include a Python code snippet for computing ORtg/DRtg/net ratings based on game logs. I can also suggest some visualization ideas. I should check: which team are we focusing on?
这是在做战报/稿件吗,还是想要数据分析/可视化?告知联赛、球队、时间范围和是否有原始数据(比赛日志/技术统计),我可以定制。先给你几种可直接用的选项:
- 标题与导语(新闻风)
- 标题:攻防效率齐升,[球队]净胜分走高,排名稳步攀升
- 导语:过去[X]场,[球队]进攻效率提升至[ORtg],防守效率降至[DRtg],净效率达[NetRtg](联赛第[rank]),在强度不降的赛程中实现排名跃迁。 
- 社媒短文文案(可选其一)
- 文案A:进攻更准、防守更硬,[球队]近[X]场净效率[+Y],联赛第[Z]!排名继续向上,下一站冲击前[TopN]!
- 文案B:节奏不变,效率暴涨。[球队]将对手每百回合得分压到[DRtg],自己飙到[ORtg],净胜分稳定两位数。
- 分析要点清单(教练/数据回顾会用)
- 关键指标:ORtg(进攻效率)、DRtg(防守效率)、NetRtg=ORtg-DRtg、TS%、TOV%、ORB%、FT Rate(四要素)。
- 结构变化:轮换收紧/后卫持球占比调整/内线协防站位提前/弱侧包夹频率。
- 可解释因素:对手强弱(SOS)、主客场、背靠背疲劳、三分命中波动与回归。
- 保持与强化:防守篮板压制二次进攻;减少无谓犯规;提速或降速与当前人员的匹配度。
- 指标计算公式(无跟踪数据时的简化版) 
- 估算回合数 poss = FGA - ORB + TOV + 0.44*FTA
- ORtg = 100 * PTS / poss
- DRtg = 100 * OPP_PTS / OPP_poss
- NetRtg = ORtg - DRtg
- Python 计算小脚本(有逐场箱线表即可用)
import pandas as pd
# df: 每场一行,需列: FGA, ORB, TOV, FTA, PTS, OPP_FGA, OPP_ORB, OPP_TOV, OPP_FTA, OPP_PTS, date/team 可选
def ratings(df):
poss = df.FGA - df.ORB + df.TOV + 0.44 * df.FTA
opp_poss = df.OPP_FGA - df.OPP_ORB + df.OPP_TOV + 0.44 * df.OPP_FTA
df = df.assign(
poss=poss,
opp_poss=opp_poss,
ORtg=100 * df.PTS / poss,
DRtg=100 * df.OPP_PTS / opp_poss,
)
df["NetRtg"] = df["ORtg"] - df["DRtg"]
return df
# 示例滚动窗口趋势
# ratings(df).sort_values("date").rolling(5, min_periods=3)[["ORtg","DRtg","NetRtg"]].mean()
需要我:
- 直接产出一版完整战报/新闻稿;
- 给你的数据跑一版指标和趋势图;
- 做一页赛后复盘要点和改进建议; 
- 定制化社媒海报文案与标题; 选一个编号,或把球队/赛段/数据源发我。