Analytics Glossary
Every metric RunChase shows, in plain terms — what it measures, and how to read it without over-reading it. Small samples say less than big ones; where that matters, it's flagged.
Batting
Strike Rate (SR) Batting
Runs scored per 100 balls faced — runs ÷ balls × 100. The core measure of scoring speed in T20.
How to read it: elite T20 batters cluster tightly around 140–155, so gaps that look big in the raw number are often smaller than they seem once you account for role and phase.
Batting Average Batting
Runs scored per dismissal — runs ÷ times out. A measure of how long a batter tends to survive, independent of speed.
How to read it: high average + high strike rate is the rare combination. Average alone rewards not getting out, which isn't always the T20 job — pair it with SR and role.
First 10 Balls SR (f10) Batting
Strike rate over just the first 10 balls a batter faces in an innings — how fast they get going before they're set. Computed directly from each innings' real ball-by-ball start, not estimated from innings totals.
How to read it: separates fast starters from players who need time. A low f10 with a high overall SR means a batter who accelerates once in; the reverse can flag someone who front-loads risk.
Boundary % & Dot Ball % Batting
Share of balls faced that went for four or six (boundary %) versus the share that brought no run (dot %). Two sides of the same tempo coin.
How to read it: a high boundary rate carried by a high dot rate is a high-risk profile — big shots between pressure balls. A low-dot, lower-boundary profile is a rotator who keeps the score ticking.
Context & Pressure
Phase Splits — Powerplay / Mid Overs / Death Both
Performance broken out by the three T20 phases: the fielding-restricted Powerplay (overs 1–6), the Mid Overs (7–15), and the Death (16–20). Each phase asks a different question of a player.
How to read it: a single overall number hides where a player actually does their work. A death-overs strike rate matters far more for a finisher than a Powerplay one.
Pressure Bands — High / Medium / Low Batting
Splits a batter's record by how much pressure the match situation applied at the time — chase demands, wickets in hand and overs remaining — bucketed into high, medium and low. Answers "how do they bat when it's hard?" rather than "how do they bat on average?"
How to read it: a strike rate that holds up in the high band is the signal to look for. A record built mostly in low-pressure situations is a genuinely easier record, even at the same headline number.
Bowling
Economy Rate Bowling
Runs conceded per over — runs ÷ overs. The primary containment measure for a bowler.
How to read it: always read it against phase. A death bowler's economy will look worse than a Powerplay specialist's because the job is harder, not because the bowler is.
Bowling Strike Rate & Balls per Wicket Bowling
How often a bowler takes a wicket — balls bowled per dismissal. Lower is better: a wicket-taker rather than a container.
How to read it: pairs with economy to place a bowler on the attack-vs-control spectrum. Some bowlers buy wickets with runs; others strangle without striking.
Comparison & Significance
League-Strength Normalisation Batting
Adjusts for the fact that runs in a weaker competition are easier to score than runs against international attacks. Built with within-player fixed effects — comparing the same players across the competitions they've all played — so it isn't fooled by who happens to play where.
How to read it: this is why internationals correctly come out as the hard end of the scale, not the easy one. A raw number flattered by a weak league gets pulled back toward its true worth.
Significance Testing (Bootstrap) Batting
Resamples the innings thousands of times to ask whether a gap between two players is real or just noise from a limited number of innings. Produces a spread of likely outcomes rather than a single false-precise verdict.
How to read it: if the resampling split lands near 50/50, the two players are effectively the same on that metric — the difference you see is within the margin of error, not a ranking.
Single-Innings Spread (Box Plots) Batting
Shows the full distribution of a player's innings — median, the middle 50%, and the tails — not just their average. Two players with identical averages can have completely different spreads.
How to read it: a wide spread is a boom-or-bust player; a tight one is a metronome. On any given night, the spread tells you more about what you'll actually get than the average does.
Type & Matchups
Pace vs Spin Split Batting
A batter's strike rate and dismissal rate separated by bowler type. Shown only when enough of the deliveries faced are classified — below that coverage the split is hidden rather than guessed at.
How to read it: a clear gap (roughly 15+ SR) between pace and spin is a real vulnerability worth planning around. When coverage is low, treat a split with caution — or its absence as honesty rather than a gap in the data.
Matchups & Nemesis Batting
A batter's best and worst records against individual bowlers they've faced enough times (≥25 balls). A "nemesis" is a bowler who has dismissed them 3+ times. Head-to-head records are career-wide across all competitions.
How to read it: ball count is everything here. A brutal strike rate over 26 balls is a small-sample curiosity; the same over 120 balls is a genuine pattern. The number of balls is always shown so you can weight it yourself.