Rate view · points per 100 possessions on each side of the ball
Production
15.1PTS
2.6REB
4.8AST
2.2TOV
2.14A/TO
1.1STL
0.1BLK
Shooting
55.9TS%
52.52P%
33.53P%
86.2FT%
zTS+1.6
ROLE+1.7
RTS−0.2
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.
89thTurnover value+0.78
86thShot value+1.37
84thField goals+1.20
72ndFree throws+0.17
40thSecond chance−0.25
87thO-VPM+1.90
−5.00+5.0
DDefensive impact
positive = good
How the player ends possessions and suppresses scoring value.
40thTurnover value−0.22
73rdShot value+0.23
81stField goals+0.25
57thFree throws−0.02
33rdSecond chance−0.10
52ndD-VPM−0.10
−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.
Offenseadds to O-VPM
Defensepositive = good
eFG zones
freqfg
+0.44 / −0.29Rim
+0.71 / +0.34Mid
+0.04 / +0.20Three
Off
−0.12+0.56
−0.12+0.84
+0.02+0.02
Def
−0.06−0.22
+0.03+0.30
+0.02+0.18
rim + mid + three = eFG · freq + fg = zone value · off / def · up = good
Signal chain
prior → lineups
Box prior
+0.72
raw box model
Effective prior
+1.12
×1.5, centred
Lineup update
+0.69
2026 possessions
VPM
+1.81
prior + update
prior source2026 boxupdate+0.69 on 4,725 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
RIM14%
MID35%
3P41%
FT9%
Share of FGA + 0.44 × FTA
Shot profile
2026 regular season
below avgabove avgFT9% freqleague avg
VOL4.8 FTA/100−0.4lg 5.2
4.8 FTA/100 (−0.4)
5.2 FTA/100
EFF86.2% FT%+7.6%lg 78.6%
86.2% FT% (+7.6%)
78.6% FT%
RIM14% freqleague avg
VOL3.2 FGA/100−1.8lg 5.1
3.2 FGA/100 (−1.8)
5.1 FGA/100
EFF71.6% FG%+7.2%lg 64.4%
71.6% FG% (+7.2%)
64.4% FG%
MID35% freqleague avg
VOL7.9 FGA/100+2.2lg 5.7
7.9 FGA/100 (+2.2)
5.7 FGA/100
EFF44.8% FG%+4.2%lg 40.6%
44.8% FG% (+4.2%)
40.6% FG%
3P41% freqleague avg
VOL9.2 3PA/100+2.8lg 6.4
9.2 3PA/100 (+2.8)
6.4 3PA/100
EFF33.5% FG%−0.6%lg 34.1%
33.5% FG% (−0.6%)
34.1% 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
26.2Usageplays / 10077th pct
51.5%Self-createdmade-FG pts92nd pct
19.2Assist creationpts / 10088th pct
02
Shot selectionMidrange-heavy shot diet
Where her attempts come from
15.9%At rimof FGA20th pct
39.0%Midrangeof FGA77th pct
45.0%From threeof FGA59th pct
03
Possession pressureLow-event possession role
Fouls, extra chances, lost balls
4.0Fouls drawn/ 10044th pct
0.4Off. rebounds/ 1007th pct
0.6Ball securitylost-ball / 10036th pct
04
Defensive activityBalanced defensive activity
Stops, disruption, and cleanup
2.3%STOP%def. possessions—
1.7Steals/ 10053rd pct
0.2Blocks/ 10015th pct
3.9Def. rebounds/ 10023rd 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
SEA
38
29.8
15.1
4.8
2.6
1.1
0.1
2.2
33.5
55.9
−0.2
+1.90
−0.10
+1.81
2025
MIN
44
19.0
9.1
2.8
1.9
0.7
0.2
1.2
37.1
59.5
+5.3
+1.65
−0.22
+1.43
2024
MIN
40
14.9
4.9
2.4
1.6
0.8
0.2
1.1
28.0
46.9
−6.7
−0.50
−0.16
−0.66
2023
CON
40
26.6
8.5
2.7
2.1
0.9
0.1
1.4
36.6
50.7
−3.4
−1.27
−0.94
−2.21
2022
CON
36
25.2
9.1
3.3
1.8
1.2
0.1
1.3
41.1
57.3
+3.1
+1.69
+2.34
+4.03
Career
—
198
22.9
9.3
3.2
2.0
0.9
0.1
1.4
35.7
54.4
−0.1
+0.73
+0.23
+0.97
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