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Jeanette Pohlen-Mavunga

Jeanette Pohlen-Mavunga

Team: Indiana Fever

Season Averages — 2017

Observed regular-season final played games

GP MPG PPG RPG APG SPG BPG TO FGA Numbers +/- PG +/- Tot +/- /40 FG% 3P% FT%
29 12.9 3.4 1.0 0.7 0.2 0.0 0.6 2.7 2.0 -2.8 -82 -8.8 40.5% 38.5% 82.6%

Plus/minus sample — 2017-2018: 29 games, 667.0 minutes, 1324.2 possessions. Other models may cover a different set of games.

Advanced Stats

Legacy model artifacts; separate from the counting cohort. Plus/minus scope: 29 games.

RAPM Rank Minutes Possessions Model PM Model PM/G Model PM/40
+0.79 40 667 1347 +144 +5.0 +8.6

RAPM = Regularized Adjusted Plus-Minus (points per 100 possessions above average)

Model Outputs

No verified model outputs are published for this player in WNBA yet.

Career Stats

STATSNBA · WNBA · regular-season appearances. Coverage reflects stored source games. Other career leagues are available through the league links above.

Season League Team GP MIN PTS REB AST STL BLK TO FGA Numbers FG% 3P% FT% TS% eFG%
2017 WNBA Indiana Fever 29 12.9 3.4 1.0 0.7 0.2 0.0 0.6 2.7 2.0 40.5% 38.5% 82.6% 55.0 50.0
2016 WNBA Indiana Fever 12 4.1 1.3 0.1 0.4 0.0 0.0 0.2 0.9 0.8 54.5% 50.0% 100.0% 69.9 68.2
2015 WNBA Indiana Fever 25 9.7 2.5 0.9 0.6 0.5 0.0 0.3 2.0 2.2 42.0% 40.5% 75.0% 58.9 57.0
2013 WNBA Indiana Fever 13 14.7 3.2 1.9 0.3 0.5 0.1 0.8 2.9 2.2 34.2% 37.5% 100.0% 50.4 46.1
2012 WNBA Indiana Fever 34 16.9 4.4 1.7 1.1 0.6 0.3 0.9 3.8 3.4 43.0% 42.1% 70.0% 56.3 55.5
2011 WNBA Indiana Fever 33 16.2 4.2 1.4 1.0 0.4 0.1 0.6 3.1 3.4 47.1% 46.8% 86.7% 63.5 61.3

Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, TS% = True Shooting, eFG% = Effective FG

Game Log

STATSNBA · WNBA · regular-season appearances. Coverage reflects stored source games.

Date Vs/At Opponent Result Score MIN FG 3PT FT REB AST STL BLK TO PTS Numbers RAPM GS
2017-09-02vsSANL71-75294-81-20-02510099.0-
2017-08-30vsMINL69-80183-61-30-10000170.0-
2017-08-26@ATLL74-79180-30-12-22100121.0-
2017-08-23vsNYLL50-71305-100-40-021100104.0-
2017-08-20vsWASL82-87264-93-52-213203137.0-
2017-08-18@MINL52-111200-40-10-0110020-4.0-
2017-08-12@WASL80-100323-63-43-3321021210.0-
2017-08-08@NYLL76-8130-00-00-01000001.0-
2017-08-06vsMINW84-8220-10-10-11000000.0-
2017-08-04vsCHIL70-8130-00-00-00000000.0-
2017-07-30@CONL73-89131-20-00-01100022.0-
2017-07-28vsNYLL84-8530-00-00-00010001.0-
2017-07-25@DALL82-8420-00-00-00000000.0-
2017-07-20@SANL61-85142-52-40-01100261.0-
2017-07-19@PHOW84-7782-20-00-01100044.0-
2017-07-17@LASL62-8080-00-03-31000034.0-
2017-07-14vsWASL58-72171-40-31-22010131.0-
2017-07-12vsSANL72-7940-00-00-00000000.0-
2017-07-07@ATLL68-8990-10-10-01000000.0-
2017-06-24vsLASL73-8450-00-02-21000023.0-
2017-06-15vsATLW85-7461-11-10-01100034.0-
2017-06-11@WASL70-88151-31-20-11200132.0-
2017-06-09vsSEAW83-8060-00-02-20100023.0-
2017-06-07vsPHOL90-9840-00-01-10000011.0-
2017-05-30@DALL62-89141-50-30-0300012-1.0-
2017-05-28@SEAL70-94141-30-00-0000022-3.0-
2017-05-24vsLASW93-90122-42-20-00000062.0-
2017-05-20vsCONW81-79170-10-13-32000133.0-
2017-05-17@PHOL62-8581-11-10-00000032.0-