Higher or Lower shows you two NBA players and one career stat - career points, career rebounds, career assists, three-point percentage, anything quantifiable across a career. Both players are named, with their headshots, from the start. Player A's number for that stat is revealed up front, and you call whether Player B's is higher or lower. Answer, see the number, and move to the next round. There are ten rounds a day and each one is a fresh pair on a fresh stat - the categories change round to round, so the axis you just got a feel for is not the axis you are about to be asked about. You get five lives, so the run ends on your fifth wrong answer, and your longest streak of correct calls is your score.
Higher or Lower is airball.gg's pure-comparison game - no clues, no boards, just two careers stacked head-to-head. The rotating stat is what keeps it fresh, and it rotates every round rather than every day: one round might ask for career assists (rewarding fans who track playmakers across eras), the next for career steals (where 1980s-2000s leaders dominate because the league was officially more aggressive on defense), the next for free throw percentage. Ten rounds, ten categories, drawn from a bank of more than thirty. Players span every era from Bill Russell forward, weighted toward names you'd recognize. Star players appear more often than role players, but the pool is wide enough that you'll see legitimate fringe stars and one-time All-Stars rotated in. The game rewards one skill above all: knowing rough magnitudes on the all-time leaderboards well enough to rank two careers you know by reputation.
Are the stats lifetime totals or per-game averages?
Both, and it changes every round. Each of the day's ten rounds picks its own category - lifetime cumulative (total career points), per-game (career PPG), or rate-based (FG%, 3P%, FT%, eFG%) - so you can go from a totals comparison straight into a percentage comparison. The category is always labeled above the two players.
Why do longer-career players seem to win cumulative comparisons so often?
Because cumulative totals reward games played. A 17-point-per-game scorer who lasted 20 seasons easily out-scores a 24-PPG star who burned out in 8. The stat axis matters more than peak.
Are active players included?
Yes. Their stats update to current career totals at the start of each day. As LeBron, Durant, Curry, and others continue to play, their numbers continue to climb.
Do I get to see who the players are?
Yes. Both players are shown by name with their headshot from the moment the round opens, so nothing about the identity is hidden - this is a knowledge test, not a guessing game. The only thing held back is Player B's number for the day's stat, which is revealed the moment you commit.
Why did my streak end on a comparison that felt obvious?
Era and pace are sneaky. A guard from the early 2000s might have a higher career steals total than a modern superstar simply because steals were officially valued more in defensive schemes back then. When something feels obvious, double-check the era.
Player stats, rosters, and career data reflect the most recently completed NBA season until the new season is underway.