Stats glossary

Databall metrics

The proprietary numbers you'll see across the site — each built the same way for every sport so names compare directly.

Q ScoreQ

One 0–10 rating for how much a name matters right now. A percentile rank of 40% on-field impact + 40% attention + 20% league strength, computed across ~20,000 athletes. Q sorts and sizes; it never appears beside performance in a stat table.

Attention

Worldwide interest, measured as Wikipedia pageviews plus social reach — tracked every week since 2015. Attention ranks interest; it never sizes audiences or revenue.

Views over expectedVOE

Actual attention minus the baseline we'd expect for a name of that stature. The core 'who's spiking' signal — positive means running hotter than usual.

Views percentile

Where a name's attention ranks within its sport or league, 0–100.

Talent %

In-league percentile of a player's on-field impact (the Sport-HQ production markers), 0–100. The performance axis, kept separate from attention.

Comp level

Strength of the competition a name plays in — a league-quality score blending revenue, talent and parity.

Team Q

The team version of Q — roster talent, fan attention and league strength combined and ranked across all clubs.

Attention-implied value

The power-law residual of attention against pay — how far a name's interest runs ahead of or behind what they earn. Never a raw attention-per-dollar ratio.

AUM (attention under management)AUM

For agencies, teams and leagues: the summed pageviews of the athletes on the book — never the entity's own page.

Watch & predictions

Game rating

A 0–10 score for how worth-watching a fixture is: half its expected audience (log scale) and half a TV/quality composite (team quality, closeness, stakes, rivalry).

Expected audience

A model estimate of viewers for a game — a league baseline scaled by the matchup, contenders, rivalry and stakes. A model estimate, not a measured number.

Championship equity

A player's share of their team's title probability — how much of the club's championship odds their presence accounts for.

Model win %

An unfitted pre-game estimate of each side's win probability from the standings model — a directional read, not a betting line.

Reading the grades

Every percentile maps to the same 12-band scale, so an A− means the same thing in every sport.

Grade bands

A+ Generational (top 0.5%) · A Elite · A− Star · B+ Excellent · B Very good · B− Good · C+ Solid · C Above average · C− Average · D+ Below · D Fringe · F Replacement.

Qualification threshold

A minimum sample (games, minutes, plate appearances, rounds…) before a player enters a percentile pool. Unqualified players show their stats but no rank — never a fake percentile from three games.

Lower-is-betterlower = better

Stats where a smaller number is better — turnovers, ERA, goals against, sacks taken. Their percentile is inverted so a good (low) number still grades green.