Rate view · points per 100 possessions on each side of the ball · 2022 regular season · RS+PS solve
Production
3.8PTS
1.9REB
0.5AST
0.7TOV
0.71A/TO
0.2STL
0.2BLK
Shooting
63.5TS%
58.52P%
46.23P%
76.5FT%
zTS+6.0
ROLE−3.3
RTS+9.3
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.
13thO-VPM−2.66
−5.00+5.0
DDefensive impact
positive = good
How the player ends possessions and suppresses scoring value.
56thD-VPM−0.00
−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
+0.72 / +0.06Rim
+0.64 / −0.05Mid
−0.19 / −0.18Three
Off
+0.06+0.66
+0.22+0.42
−0.01−0.18
Def
+0.03+0.04
−0.03−0.02
−0.00−0.17
rim + mid + three = eFG · freq + fg = zone value · off / def · up = good
Signal chain
prior → lineups
Box prior
+0.44
raw box model
Effective prior
+0.69
×1.5, centred
Lineup update
−0.41
2026 possessions
VPM
+0.28
prior + update
prior source2026 boxupdate−0.41 on 3,905 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
RIM40%
MID26%
3P26%
FT8%
Share of FGA + 0.44 × FTA
Shot profile
2022 regular season
below avgabove avgFT8% freqleague avg
VOL2.6 FTA/100−1.9lg 4.5
2.6 FTA/100 (−1.9)
4.5 FTA/100
EFF76.5% FT%−2.9%lg 79.4%
76.5% FT% (−2.9%)
79.4% FT%
RIM40% freqleague avg
VOL6.0 FGA/100+1.1lg 5.0
6.0 FGA/100 (+1.1)
5.0 FGA/100
EFF66.7% FG%+3.9%lg 62.8%
66.7% FG% (+3.9%)
62.8% FG%
MID26% freqleague avg
VOL4.0 FGA/100−2.4lg 6.5
4.0 FGA/100 (−2.4)
6.5 FGA/100
EFF46.2% FG%+7.9%lg 38.3%
46.2% FG% (+7.9%)
38.3% FG%
3P26% freqleague avg
VOL4.0 3PA/100−1.6lg 5.6
4.0 3PA/100 (−1.6)
5.6 3PA/100
EFF46.2% FG%+11.6%lg 34.6%
46.2% FG% (+11.6%)
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 roleLow-usage role
Usage and creation burden
18.9Usageplays / 10025th pct
16.1%Self-createdmade-FG pts21st pct
6.6Assist creationpts / 10021st pct
02
Shot selectionRim-oriented shot diet
Where her attempts come from
42.9%At rimof FGA76th pct
28.6%Midrangeof FGA34th pct
28.6%From threeof FGA39th pct
03
Possession pressurePositive possession pressure
Fouls, extra chances, lost balls
3.7Fouls drawn/ 10040th pct
2.6Off. rebounds/ 10066th pct
0.5Ball securitylost-ball / 10067th pct
04
Defensive activityBalanced defensive activity
Stops, disruption, and cleanup
2.3%STOP%def. possessions—
0.9Steals/ 10011th pct
0.8Blocks/ 10059th pct
7.3Def. rebounds/ 10061st 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
PDX
39
24.0
13.1
0.9
4.2
0.4
0.6
0.7
36.4
64.7
+8.7
+1.64
−1.36
+0.28
2025
LVA
20
11.3
3.0
0.3
1.8
0.2
0.3
0.3
33.3
47.2
−7.0
−2.42
−2.00
−4.43
2024
LVA
37
10.8
3.8
0.2
1.9
0.4
0.1
0.4
39.3
62.7
+9.1
−0.01
−1.44
−1.44
2023
PHO
34
15.1
7.9
0.7
3.9
0.4
0.4
1.1
34.9
60.8
+6.7
+1.10
−1.38
−0.28
2022
PHO
33
9.6
3.8
0.5
1.9
0.2
0.2
0.7
46.2
63.5
+9.3
−2.66
−0.00
−2.66
Career
—
163
14.7
6.8
0.6
2.9
0.3
0.3
0.7
37.6
61.7
+6.9
+0.12
−1.27
−1.15
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