WNBA · v0 Research

Pace & Total Tendency

Per-team pace (possessions/game), points scored, points allowed, and combined total environment over the last 14 days. League averages and per-team deltas surface where games tend to run high or low. Last updated: May 13, 2026, 12:02 PM ET.

Sport WNBA MLB · See F5 / NRFI

Early-season notice. No team has 5+ games of data in the 14-day window yet. Treat per-team labels (Fast / Slow / Over-lean / Under-lean) as directional, not predictive — they'll stabilize as the season fills in.

What this is. A pace and total-points research surface for the WNBA slate. Use it to see which teams play fastest, who's in the most-points environment, and which defenses suppress totals. Not a betting recommendation; not picks. Today's league averages: 63.9 est. possessions/game, 143.8 total points/game.

View

Total environment

League average: 143.80

Team	Total	vs Lg Avg	Label	Games	Sample
Las Vegas Aces	175.0	+31.2	Over-lean	1	low
Golden State Valkyries	171.0	+27.2	Over-lean	1	low
Dallas Wings	166.5	+22.7	Over-lean	2	low
Seattle Storm	162.5	+18.7	Over-lean	2	low
Indiana Fever	158.0	+14.2	Over-lean	1	low
Los Angeles Sparks	156.0	+12.2	Over-lean	1	low
Portland Fire	155.0	+11.2	Over-lean	2	low
New York Liberty	149.0	+5.2	Neutral	2	low
Connecticut Sun	144.7	+0.9	Neutral	3	medium
Chicago Sky	139.0	-4.8	Neutral	1	low
Atlanta Dream	138.5	-5.3	Neutral	2	low
Washington Mystics	135.5	-8.3	Under-lean	2	low
Toronto Tempo	129.3	-14.5	Under-lean	3	medium
Minnesota Lynx	102.0	-41.8	Under-lean	2	low
Phoenix Mercury	75.0	-68.8	Under-lean	2	low

Evaluated 15 teams across 27 team-games in the last 14 days.

13 thin-data warnings

ATL (Atlanta Dream): 2 games in window — completeness=low
CHI (Chicago Sky): 1 game in window — completeness=low
DAL (Dallas Wings): 2 games in window — completeness=low
GS (Golden State Valkyries): 1 game in window — completeness=low
IND (Indiana Fever): 1 game in window — completeness=low
LA (Los Angeles Sparks): 1 game in window — completeness=low
LV (Las Vegas Aces): 1 game in window — completeness=low
MIN (Minnesota Lynx): 2 games in window — completeness=low
NY (New York Liberty): 2 games in window — completeness=low
PHX (Phoenix Mercury): 2 games in window — completeness=low
POR (Portland Fire): 2 games in window — completeness=low
SEA (Seattle Storm): 2 games in window — completeness=low
WSH (Washington Mystics): 2 games in window — completeness=low

How this works

For each game in the 14-day window, both teams' scoring possessions are estimated and per-team averages are computed across games played. Both sides of every game need to be observed via player_logs for the row to count — preseason exhibitions vs national teams are excluded.

Pace — FGA + 0.44 × FTA per team per game (Dean Oliver reduced form). Slight undercount vs the full possessions formula (which requires turnovers + offensive rebounds, neither in current game-logs), but consistent across teams so rankings hold. v0.5 will swap in a full formula when team-level box scores are captured.
Points scored / allowed — sum of each team's players' points; "allowed" is the opponent's total.
Total environment — scored + allowed. Highest values are over-leaning environments; lowest are under-leaning.
vs Lg Avg — this team minus the league pool average for the same view.
Labels — Fast (pace ≥ +3 vs lg), Slow (≤ −3), Over-lean (total ≥ +6), Under-lean (total ≤ −6). Thresholds tighten as the season fills in.
Completeness pill — High (5+ games), Medium (3–4), Low (1–2), Insufficient (0).

Note: when only one team's player logs have been ingested for a game, that game's pace entry may reflect partial data. This self-corrects on the next pipeline cycle.

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