hebel. today · 8 November 202631 / 73
Sport · Sports Analytics
Adjusted scores reveal true tactical health
Kevin Cole quantifies team play quality using adjusted scores that emphasize stable metrics like success rate while downplaying high-variance events such as penalties or fumble luck. This method projects future performance by separating repeatable…
From 5 newsletters · 1 min read · one thing to try
Kevin Cole quantifies team play quality using adjusted scores that emphasize stable metrics like success rate while downplaying high-variance events such as penalties or fumble luck (Kevin Cole from Unexpected Points). This method projects future performance by separating repeatable tactical execution from one-off events. Chicago Bears offensive and defensive units hit explosive plays against the Seattle Seahawks while limiting opponent output to one big touchdown, a performance that exceeded market projections despite 10 penalties for 85 yards.
Data scientists at clubs like Nottingham Forest and Olympiacos evaluate performance by measuring off-ball contributions and expected threat to understand tactical decision-making (Alex Marin Felices from The xG Football Club). Arsenal utilized this focus on repeatable patterns to grind out a 1-0 win against Hull, generating 1.2 expected goals by maintaining shape and wriggling out of pressure (Scott Willis from Cannon Stats). Mikel Arteta’s squad defended with hunger at Anfield, holding Liverpool to zero chances of note while generating spells of sustained pressure that did not translate to shots (Lewis Ambrose from Like A Newsletter).
Teams track these performance indicators to identify whether a unit generates consistent advantages or benefits from erratic game-state fluctuations. The New York Jets allow 200-plus passing yards in six of eight games, yet their 19th-ranked pressure rate despite a high blitz frequency reveals the true, struggling level of their defense (David Wyatt-Hupton from The Jets Way).
Try today · 30 min
Calculate your team's adjusted performance score for the last game.
Filter your game data to exclude turnovers, penalties, and special teams plays to isolate success rate.
You need
- Play-by-play data for the last game
- Spreadsheet software
Steps
- Remove all plays involving penalties, turnovers, and special teams from your dataset.
- Calculate the success rate for remaining offensive and defensive plays.
- Compare the resulting success rate against your season average.
- Identify the three highest-impact plays that contributed to your success rate.
- Summarize whether your final game result aligns with these underlying success metrics.