Rate view · points per 100 possessions on each side of the ball · 2022 regular season · RS+PS solve
Production
11.1PTS
4.6REB
3.3AST
1.7TOV
1.95A/TO
1.0STL
0.4BLK
Shooting
47.0TS%
44.42P%
33.83P%
75.0FT%
zTS−3.6
ROLE+3.5
RTS−7.1
zTS = ROLE + RTS
VVPM impact
points / 100
Offense plus positive-good defense.
−80+8
League density for the active node · selected player marked in pink · defense is positive = good
OOffensive impact
adds to O-VPM
How the player helps possessions survive, score, and continue.
49thO-VPM−0.90
−5.00+5.0
DDefensive impact
positive = good
How the player ends possessions and suppresses scoring value.
96thD-VPM+1.42
−2.50+2.5
Impact waterfall
points / 100
Each factor's value stacks left to right into the side's VPM total — the dashed line tracks the running sum.
Four-factor detail is published for the 2026 regular-season solve only — historical seasons carry O-VPM and D-VPM without the factor split.
eFG zones
freqfg
−0.07 / −0.07Rim
+0.07 / −0.01Mid
+0.86 / +0.14Three
Off
−0.30+0.23
−1.12+1.19
−0.03+0.90
Def
−0.06−0.01
−0.00−0.00
+0.00+0.14
rim + mid + three = eFG · freq + fg = zone value · off / def · up = good
Signal chain
prior → lineups
Box prior
+0.70
raw box model
Effective prior
+1.09
×1.5, centred
Lineup update
+0.43
2026 possessions
VPM
+1.52
prior + update
prior source2026 boxupdate+0.43 on 5,194 poss
Team mix
lineup-weighted VPM sum · click to filter
Each strip is 5 × the possession-weighted mean VPM of the players currently listed on that roster (pts / 100 poss). Traded players carry all their possessions to their current team.
About
VPM is databallr's WNBA player impact in points per 100 possessions: a single-season prior-centred ridge over 2026 lineups, where each factor's prior is a public box-score model trained only on 2022–2025. Offense + defense = VPM; defense is positive-good.
Offense and defense each split exactly into four factors — eFG (rim + mid + three shot value), FT, TOV (turnover value, positive = fewer / cheaper turnovers), and 2nd chance. The eFG zones module is the rim / mid / three drill-down of the eFG bar.
Player contextShot profile and role rates for the selected season
Shot diet
FT = 0.44 × FTA
RIM12%
MID68%
3P16%
FT4%
Share of FGA + 0.44 × FTA
Shot profile
2022 regular season
below avgabove avgFT4% freqleague avg
VOL1.9 FTA/100−2.6lg 4.5
1.9 FTA/100 (−2.6)
4.5 FTA/100
EFF75.0% FT%−4.4%lg 79.4%
75.0% FT% (−4.4%)
79.4% FT%
RIM12% freqleague avg
VOL2.5 FGA/100−2.5lg 5.0
2.5 FGA/100 (−2.5)
5.0 FGA/100
EFF51.1% FG%−11.7%lg 62.8%
51.1% FG% (−11.7%)
62.8% FG%
MID68% freqleague avg
VOL14.7 FGA/100+8.2lg 6.5
14.7 FGA/100 (+8.2)
6.5 FGA/100
EFF43.3% FG%+5.0%lg 38.3%
43.3% FG% (+5.0%)
38.3% FG%
3P16% freqleague avg
VOL3.5 3PA/100−2.1lg 5.6
3.5 3PA/100 (−2.1)
5.6 3PA/100
EFF33.8% FG%−0.7%lg 34.6%
33.8% FG% (−0.7%)
34.6% FG%
frequency beside each zone is its share of FGA + 0.44 × FTA · volume is attempts per 100 of the player’s own on-floor offensive possessions · the league column pools that same ratio over every player, i.e. team attempts per 100 divided by five · volume bars share the season’s 5th–95th percentile gap axis · efficiency bars show sample-qualified within-zone percentile distance from league average; fewer than 20 attempts (8 in playoffs) leaves the bar unranked
Role & playstyle
four box-score reads · not impact
01
Offensive roleFeatured offensive load
Usage and creation burden
24.6Usageplays / 10069th pct
35.2%Self-createdmade-FG pts71st pct
13.7Assist creationpts / 10075th pct
02
Shot selectionMidrange-heavy shot diet
Where her attempts come from
12.1%At rimof FGA6th pct
71.1%Midrangeof FGA99th pct
16.8%From threeof FGA24th pct
03
Possession pressureLow-turnover possession role
Fouls, extra chances, lost balls
2.0Fouls drawn/ 1009th pct
1.6Off. rebounds/ 10049th pct
0.3Ball securitylost-ball / 10089th pct
04
Defensive activityBalanced defensive activity
Stops, disruption, and cleanup
2.4%STOP%def. possessions34th pct
1.8Steals/ 10042nd pct
0.8Blocks/ 10056th pct
6.8Def. rebounds/ 10055th pct
Rates use the player’s own on-floor possessions. Percentiles compare the same season and split; higher means more, not better. Ball security is reversed so higher means fewer lost-ball turnovers. STOP% = steals + offensive fouls drawn + recovered blocks per 100 defensive possessions.
Season historyCompare the same player across the available WNBA seasons
Career log
5 regular seasons
Production · per game
Shooting
VPM impact
Season
Team
GP
MPG
PTS
AST
REB
STL
BLK
TOV
3P%
TS%
TS+
Off
Def
VPM
2026
MIN
40
30.5
14.3
4.3
5.0
1.2
0.3
1.8
37.3
51.4
−4.7
+1.22
+0.30
+1.52
2025
MIN
44
28.6
13.6
6.2
4.9
1.3
0.3
2.3
38.9
49.6
−4.6
+2.13
+0.71
+2.84
2024
MIN
40
26.3
11.1
5.5
4.7
0.9
0.4
2.5
33.3
48.7
−4.8
−0.14
+0.47
+0.33
2023
CHI
40
30.1
10.4
6.3
6.0
1.0
0.3
2.5
44.3
50.0
−4.1
+1.78
+0.71
+2.49
2022
CON
34
27.6
11.1
3.3
4.6
1.0
0.4
1.7
33.8
47.0
−7.1
−0.90
+1.42
+0.53
Career
—
198
28.7
12.2
5.2
5.0
1.1
0.3
2.1
37.8
49.5
−5.0
+0.84
+0.72
+1.55
poor elite · cell tint = percentileclick a season to load it above
the career log spans 2022–2026, the reach of this repo’s WNBA box cache — earlier seasons are absent, not zero · TS+ = TS% − league TS% that season, in percentage points — it is not databallr’s role-adjusted RTS, and not this repo’s rTS/zTS chain · per 75 and per 100 use the average of on-floor offensive and defensive possessions · the career line pools totals and recomputes the rates, and its VPM is possession-weighted · 2022–2025 VPM is the RS+PS solve, 2026 is regular season to date