A short guide to T20 Value Lab.
A public cricket analytics site built around Runs Above Average: a ball-by-ball estimate of how many runs a player or team added versus an average player or team in the same situation.
T20 Value Lab starts from a simple question: given the over, wickets, venue, phase, and match situation, how many runs would an average player be expected to add from this ball?
RAA compares the actual outcome with that expectation. Runs above expectation are credited directly. Wickets are converted into runs too, so batters are rewarded for scoring quickly and preserving wickets, while bowlers are rewarded for preventing runs and taking wickets.
That means RAA is not just a run-rate stat and not just a wicket stat. It considers both scoring rate and wicket rate, then adds those ball-by-ball differences into one run value.
Positive is good. +20 RAA means the player or team added about 20 runs versus an average player or team facing the same situations.
How many runs an average batter should score from the same ball, given the innings state and scoring environment.
How often an average batter should lose their wicket from that situation, converted into a run cost.
Every outcome is compared with the model expectation, then summed ball by ball into Runs Above Average.
Over, delivery, wickets fallen, and the pressure created by how much batting resource remains.
Venue scoring and wicket-taking environment, so a score at one ground is not treated the same as the same score somewhere else.
The same boundary, dot ball, or wicket can be worth a different number of runs depending on the balls and wickets remaining.
A positive score means the batter added runs versus an average batter by scoring faster than expected, losing wickets less often than expected, or both.
A positive score means the bowler saved runs versus an average bowler by conceding less than expected, taking wickets more often than expected, or both.
RAA is the main stat across the site because it gives one starting point in runs, while still letting you inspect the scoring-rate, wicket, phase, and matchup components underneath.
Percentiles show where a player or team ranks against comparable records. An 85 means the row is better than roughly 85 out of 100 comparable rows. NA means the sample is too small.
Per-ball RAA divides total run value by balls. It helps compare rate impact, especially when two players have different workloads.
If a bowler is +0.100 RAA per ball, then across 24 balls that spell is worth about +2.4 runs versus an average bowler in the same situations.
Cricket scorecards tell us what happened. T20 Value Lab tries to show how many runs those actions added or saved compared with average performance in the same role, venue, phase, and match situation.