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Natasha Howard

Minnesota Lynx · 47 games

Natasha Howard

14.2 PPG
7.4 RPG
3.1 APG
27.8 MPG
1.5 STL
1 BLK
2.4 TOV
59 FG%
21.7 3P%
71.5 FT%

Next-game projection

12.7pts
6.6reb
3.1ast

Recency-weighted, adjusted for the next opponent's pace and defense. A model estimate, not a guarantee.

Shot chart

Loading shots…

Field-goal attempts this season, both baskets folded to one half court. Descriptive, not a projection.

Isolated rankings

90th Net Impact
94th Off Impact
68th Def Impact
76th Points / 100

Impact (RAPM)

Net Impact 3.3 90
Off Impact 2.6 94
Def Impact 0.7 68

Scoring

Points / 100 24.8 76
Usage Rate 21.7% 71

Efficiency

True Shooting 62.5% 88
Effective FG 59.5% 92

Playmaking

Assists / 100 5.5 73
Assist / TO 1.29 42

Rebounding

Rebounds / 100 12.9 88

Defense

Steals / 100 2.6 92
Blocks / 100 1.7 82

Discipline

Turnovers / 100 4.2 14

Impact trend · RAPM by season

+4.1+0.0-0.5'22'23'24'25'26+3.3
Net +3.3Off +2.6Def +0.7

Percentile rank vs. all 229 qualified WNBA players this season, pace-adjusted. Impact (RAPM) measures on-court scoring margin per 100 possessions, teammate- and opponent-adjusted over recent seasons; each trend point is a trailing multi-season blend, so it reads as a trajectory rather than noisy single-season on/off. Descriptive stats, not a projection.

Game log

DateOppMINPTSREBASTSTLBLKFG3P
Sep 29@ NY16251021-30-0
Sep 27vs NY18822003-50-0
Sep 24vs IND202182039-110-0
Sep 22@ IND12653002-50-0
Sep 20@ CONN2118112118-100-0
Sep 18vs NY221133024-60-0
Aug 30@ ATL31977423-60-1
Aug 24vs GS281371113-80-0
Aug 21@ WSH3321751310-120-0
Aug 19@ GS34864024-70-1
Aug 15@ LV3613111006-120-1
Aug 12@ POR2814124206-80-0
Aug 9vs DAL241243226-90-0
Aug 8vs LV291786207-111-1
Aug 6vs LA25863212-40-0
Aug 2vs IND231345206-90-0
Jul 30@ TOR24984223-80-0
Jul 28vs TOR291364014-70-0
Jul 25vs SPO23840003-102-7
Jul 22@ SEA261153315-90-0
Jul 20@ SEA246123303-80-0
Jul 18vs POR251673137-80-0
Jul 15vs LA3210106315-80-0
Jul 13vs PHX351337205-110-2
Jul 11vs NY361692205-91-1
Jul 8@ CONN3112102134-100-1
Jul 6vs CONN261864026-100-1
Jul 3@ NY31762003-100-0
Jun 28@ DAL3621142319-170-0
Jun 24@ WSH3621153217-130-1
Jun 21vs WSH362062509-150-1
Jun 19@ GS281084015-100-0
Jun 17@ LA291592116-130-0
Jun 15vs POR261861206-110-0
Jun 13@ LV322292418-120-0
Jun 9vs DAL292144318-101-1
Jun 6vs SEA3027513212-160-1
Jun 4vs GS3012100004-120-0
Jun 1@ PHX231143305-70-0
May 29@ CHI291473416-110-1
May 27vs ATL3322852211-160-0
May 23@ CHI33261450011-150-0
May 21vs TOR221363005-70-0
May 17vs CHI291797208-150-1
May 14@ DAL3526540311-140-0
May 12@ PHX2914112106-90-0
May 9vs ATL20652103-60-1

Model output · updated October 27, 2026