WNBA · Research

BenchIQ — Bench Production

Per-team bench scoring, rebounding, assists, and minutes share over the last 14 days, plus a depth score (bench points per 100 bench minutes vs league average). Deep benches cover spreads on back-to-backs; thin benches collapse late. Last updated: May 13, 2026, 12:03 PM ET.

Sport WNBA MLB · Coming as BullpenIQ

Early-season notice. No team has 5+ games of data in the 14-day window yet. Treat the rankings as directional, not predictive — depth scores converge as the season fills in.

What this is. Sort teams by their bench's actual contribution. Depth score is the headline column — bench points per 100 bench minutes, vs league average. Positive means efficient bench production; negative means the bench struggles to score even when on the floor. Not a betting recommendation; not picks.

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Depth score

League avg bench pts/g: 24.0 · avg min share: 36.1% · avg depth: 37.8

Team	Depth score	vs Lg Avg	Distinct	Games	Sample
Indiana Fever	60.9	+23.1	4	1	low
Dallas Wings	55.4	+17.6	8	2	low
Atlanta Dream	49.1	+11.3	7	2	low
Golden State Valkyries	45.3	+7.5	7	1	low
Portland Fire	38.6	+0.8	5	2	low
Connecticut Sun	37.9	+0.1	9	3	medium
Los Angeles Sparks	36.4	-1.4	8	1	low
New York Liberty	33.9	-3.9	5	2	low
Minnesota Lynx	33.9	-3.9	4	1	low
Washington Mystics	29.8	-8.0	9	2	low
Las Vegas Aces	28.9	-8.9	5	1	low
Chicago Sky	28.2	-9.6	3	1	low
Toronto Tempo	27.5	-10.3	10	3	medium
Seattle Storm	23.6	-14.2	8	2	low

Evaluated 14 teams across 24 team-games in the last 14 days.

How this works

For each game in the 14-day window, each team's players are sorted by minutes played. The top 5 are treated as starters by minutes-rank; players ranked 6th and below are bench. Bench season totals are summed across all valid games, then normalized per-game.

Bench definition — minutes-rank within each game, not the box-score "starter" flag. A starter who plays only 8 minutes in foul trouble still counts as a starter; what matters here is "who came off the bench tonight and produced."
Depth score — bench points per 100 bench minutes. Normalizes for teams whose bench gets fewer minutes (good benches with low minutes vs bad benches with high minutes both surface honestly).
Minutes share — bench minutes / total team minutes. Higher share = team relies more on bench; lower = top-heavy.
Distinct — unique bench-rotation players across all logged games. Higher = deeper bench rotation; lower = same few players coming off the bench every night.
Completeness pill — High (5+ games), Medium (3–4), Low (1–2), Insufficient (0).

Refreshes each top-of-hour WNBA pipeline cycle. Source feed: public/wnba/bench.json, built by scripts/wnba/build_wnba_bench.py.