WNBA Predictions

Player	Tier	MIN	PTS	REB	AST	STL	BLK	TOV	3PM	PRA	FPTS	Conf	Boom	Bust
Kamilla Cardoso	starter	25.0	15.7	8.6	2.5	0.7	1.2	1.8	0.0	26.7	33.1	high	20%	20%
Natasha Cloud	starter	30.2	12.2	3.6	5.9	1.3	0.3	2.2	1.0	21.7	28.2	medium	20%	20%
Courtney Vandersloot	rotation	24.1	11.2	3.5	5.7	1.6	0.4	2.4	1.2	20.4	27.4	medium	10%	30%
Azura Stevens	starter	23.6	9.9	6.4	2.2	0.8	0.8	1.8	0.8	18.5	23.9	medium	30%	10%
DiJonai Carrington	rotation	17.8	11.8	3.7	0.7	1.0	0.1	0.8	1.0	16.2	19.8	medium	13%	13%
Elizabeth Williams	rotation	15.8	5.1	3.0	1.4	0.5	0.6	0.9	0.0	9.5	12.8	low	20%	20%
Jacy Sheldon	rotation	20.7	6.5	1.2	1.5	1.0	0.2	0.9	1.0	9.2	12.8	medium	10%	20%
Aicha Coulibaly	bench	16.4	6.1	2.9	0.7	0.9	0.2	0.8	0.1	9.6	12.4	low	10%	20%
Rachel Banham	bench	12.3	5.8	1.5	1.5	0.4	0.3	0.8	1.3	8.8	11.5	low	10%	30%
Gabriela Jaquez	rotation	13.9	5.2	2.2	0.7	0.6	0.0	0.7	0.5	8.0	10.0	medium	10%	60%
Sydney Taylor	rotation	0.0	0.0	0.0	0.0	0.0	0.0	-0.1	0.3	0.0	0.2	medium	0%	0%
Skylar Diggins	starter	0.0	0.0	0.0	0.0	0.0	0.0	-0.2	0.2	0.0	0.2	medium	0%	0%
Maddy Westbeld	bench	0.0	0.0	0.0	0.0	0.0	0.0	-0.0	0.0	0.0	0.0	low	0%	0%

Player	Tier	MIN	PTS	REB	AST	STL	BLK	TOV	3PM	PRA	FPTS	Conf	Boom	Bust	Out	Pin MIN
Jonquel Jones	starter	29.0	15.8	10.6	3.4	0.7	1.2	2.4	1.9	29.8	39.1	high

Per-player detail

Season / L5 / L10 / h2h blend, then pace × minutes

Jonquel Jones — 29.04 MIN · 15.81 PTS · 39.10 FPTS

Ensemble components

Each stat is a weighted blend of season / L5 / L10 / h2h, then multiplied by pace × minute scale.

Stat	Season	L5	L10	h2h	Raw blend	× Pace × Min
PTS	14.71	15.40	14.40	16.50	14.95	15.81
REB	9.43	12.40	10.00	9.00	10.17	10.62
AST	2.86	3.40	3.70	2.50	3.21	3.37
FG3M	1.83	2.00	1.70	2.50	1.83	1.95
FTM	2.89	1.80	2.30	4.00	2.68	2.81
STL	0.69	0.80	0.60	0.50	0.64	0.67
BLK	1.09	1.20	1.10	1.50	1.12	1.16
TOV	2.14	2.00	2.30	3.50	2.29	2.35
MIN	29.40	29.40	28.45	27.95	29.07	29.04

Factors

Games played: 35
h2h sample: 2 game(s)
Pace factor: 1.013
Minute scale: 0.999
Def adj (PTS): 0.998
Opp DefRtg: 107.60 vs league 107.80
Injury status: active

Component weights

season0.21

L50.31

L100.26

h2h0.07

def0.15

Breanna Stewart — 30.52 MIN · 19.05 PTS · 37.83 FPTS

Ensemble components

Each stat is a weighted blend of season / L5 / L10 / h2h, then multiplied by pace × minute scale.

Stat	Season	L5	L10	h2h	Raw blend	× Pace × Min
PTS	20.69	16.60	19.60	18.50	19.28	19.05
REB	8.17	5.80	7.20	7.50	7.50	7.32
AST	3.20	3.60	3.80	3.50	3.53	3.46
FG3M	0.80	0.60	0.80

Kamilla Cardoso — 25.04 MIN · 15.70 PTS · 33.06 FPTS

Ensemble components

Each stat is a weighted blend of season / L5 / L10 / h2h, then multiplied by pace × minute scale.

Stat	Season	L5	L10	h2h	Raw blend	× Pace × Min
PTS	14.76	17.20	16.10	10.00	15.47	15.70
REB	8.71	9.40	8.70	4.50	8.53	8.55
AST	2.44	1.60	2.30	4.50	2.43	2.45
FG3M	0.00	0.00	0.00

Sabrina Ionescu — 29.07 MIN · 17.80 PTS · 31.17 FPTS

Ensemble components

Each stat is a weighted blend of season / L5 / L10 / h2h, then multiplied by pace × minute scale.

Stat	Season	L5	L10	h2h	Raw blend	× Pace × Min
PTS	16.00	15.40	19.60	19.50	17.74	17.80
REB	3.96	3.40	4.30	3.50	4.07	4.04
AST	4.52	4.40	4.90	2.50	4.55	4.53
FG3M	2.09	1.60	2.50

Natasha Cloud — 30.18 MIN · 12.22 PTS · 28.20 FPTS

Ensemble components

Each stat is a weighted blend of season / L5 / L10 / h2h, then multiplied by pace × minute scale.

Stat	Season	L5	L10	h2h	Raw blend	× Pace × Min
PTS	10.53	13.60	11.90	10.00	11.55	12.22
REB	3.35	4.20	3.20	3.00	3.40	3.56
AST	4.97	6.60	6.00	5.50	5.65	5.94
FG3M	1.03	0.80	0.90

Courtney Vandersloot — 24.10 MIN · 11.18 PTS · 27.43 FPTS

Ensemble components

Each stat is a weighted blend of season / L5 / L10 / h2h, then multiplied by pace × minute scale.

Stat	Season	L5	L10	h2h	Raw blend	× Pace × Min
PTS	9.22	9.40	10.10	14.00	9.89	11.18
REB	2.89	3.00	3.50	1.00	3.13	3.50
AST	4.83	4.60	5.40	4.00	5.06	5.68
FG3M	0.94	1.00	1.10

Azura Stevens — 23.62 MIN · 9.88 PTS · 23.89 FPTS

Ensemble components

Each stat is a weighted blend of season / L5 / L10 / h2h, then multiplied by pace × minute scale.

Stat	Season	L5	L10	h2h	Raw blend	× Pace × Min
PTS	10.73	6.20	11.10	7.00	10.13	9.88
REB	6.62	5.60	7.20	6.50	6.66	6.41
AST	2.35	1.80	2.40	1.50	2.27	2.20
FG3M	0.88	0.20	1.00

DiJonai Carrington — 17.82 MIN · 11.79 PTS · 19.78 FPTS

Ensemble components

Each stat is a weighted blend of season / L5 / L10 / h2h, then multiplied by pace × minute scale.

Stat	Season	L5	L10	h2h	Raw blend	× Pace × Min
PTS	10.75	10.20	10.75	0.00	10.72	11.79
REB	3.38	4.20	3.38	0.00	3.43	3.72
AST	0.63	1.00	0.63	0.00	0.65	0.71
FG3M	0.88	0.80	0.88

Marine Johannes — 19.52 MIN · 9.85 PTS · 18.05 FPTS

Ensemble components

Each stat is a weighted blend of season / L5 / L10 / h2h, then multiplied by pace × minute scale.

Stat	Season	L5	L10	h2h	Raw blend	× Pace × Min
PTS	9.30	12.40	9.20	3.00	9.50	9.85
REB	2.18	1.40	1.20	1.00	1.77	1.82
AST	2.48	2.20	1.60	1.00	2.03	2.09
FG3M	2.30	3.20	2.40

Rebecca Allen — 26.22 MIN · 8.76 PTS · 17.64 FPTS

Ensemble components

Each stat is a weighted blend of season / L5 / L10 / h2h, then multiplied by pace × minute scale.

Stat	Season	L5	L10	h2h	Raw blend	× Pace × Min
PTS	5.19	11.00	8.80	12.00	6.75	8.76
REB	2.19	3.40	3.10	4.00	2.67	3.42
AST	0.67	0.80	0.70	0.00	0.67	0.86
FG3M	1.10	2.40	1.90

Pauline Astier — 20.36 MIN · 8.54 PTS · 17.47 FPTS

Ensemble components

Each stat is a weighted blend of season / L5 / L10 / h2h, then multiplied by pace × minute scale.

Stat	Season	L5	L10	h2h	Raw blend	× Pace × Min
PTS	9.39	7.00	8.50	9.00	8.67	8.54
REB	2.39	2.00	1.40	3.00	2.06	2.01
AST	3.50	3.60	3.30	4.50	3.48	3.40
FG3M	0.42	0.00	0.20

Han Xu — 16.93 MIN · 8.11 PTS · 16.41 FPTS

Ensemble components

Each stat is a weighted blend of season / L5 / L10 / h2h, then multiplied by pace × minute scale.

Stat	Season	L5	L10	h2h	Raw blend	× Pace × Min
PTS	6.03	7.60	8.20	3.50	6.88	8.11
REB	2.47	3.20	3.50	2.00	2.94	3.42
AST	0.72	0.80	0.60	1.00	0.68	0.80
FG3M	0.83	0.60	1.20

Rebekah Gardner — 15.70 MIN · 6.22 PTS · 13.84 FPTS

Ensemble components

Each stat is a weighted blend of season / L5 / L10 / h2h, then multiplied by pace × minute scale.

Stat	Season	L5	L10	h2h	Raw blend	× Pace × Min
PTS	5.21	5.60	6.10	7.00	5.79	6.22
REB	2.56	3.80	3.60	3.50	3.13	3.32
AST	1.26	1.20	1.50	0.50	1.31	1.40
FG3M	0.26	0.20	0.30

Elizabeth Williams — 15.83 MIN · 5.08 PTS · 12.83 FPTS

Ensemble components

Each stat is a weighted blend of season / L5 / L10 / h2h, then multiplied by pace × minute scale.

Stat	Season	L5	L10	h2h	Raw blend	× Pace × Min
PTS	5.20	4.00	5.60	5.50	5.09	5.08
REB	3.57	1.80	2.70	3.00	3.05	3.00
AST	1.49	1.80	1.40	1.00	1.46	1.45
FG3M	0.00	0.00	0.00

Jacy Sheldon — 20.71 MIN · 6.46 PTS · 12.78 FPTS

Ensemble components

Each stat is a weighted blend of season / L5 / L10 / h2h, then multiplied by pace × minute scale.

Stat	Season	L5	L10	h2h	Raw blend	× Pace × Min
PTS	6.74	8.00	6.10	1.00	6.07	6.46
REB	1.29	1.00	1.10	1.50	1.18	1.24
AST	1.63	1.60	1.30	1.00	1.41	1.49
FG3M	0.91	1.80	1.00

Aicha Coulibaly — 16.37 MIN · 6.08 PTS · 12.43 FPTS

Ensemble components

Each stat is a weighted blend of season / L5 / L10 / h2h, then multiplied by pace × minute scale.

Stat	Season	L5	L10	h2h	Raw blend	× Pace × Min
PTS	4.96	6.40	5.50	2.00	5.04	6.08
REB	2.54	2.20	2.30	3.00	2.40	2.85
AST	0.58	1.00	0.60	0.50	0.59	0.71
FG3M	0.04	0.20	0.10

Rachel Banham — 12.32 MIN · 5.78 PTS · 11.50 FPTS

Ensemble components

Each stat is a weighted blend of season / L5 / L10 / h2h, then multiplied by pace × minute scale.

Stat	Season	L5	L10	h2h	Raw blend	× Pace × Min
PTS	4.71	9.80	5.40	1.50	5.03	5.78
REB	1.19	2.60	1.50	1.00	1.34	1.52
AST	1.13	1.60	1.60	0.50	1.30	1.48
FG3M	1.06	2.20	1.10

Marine Fauthoux — 15.47 MIN · 4.83 PTS · 11.35 FPTS

Ensemble components

Each stat is a weighted blend of season / L5 / L10 / h2h, then multiplied by pace × minute scale.

Stat	Season	L5	L10	h2h	Raw blend	× Pace × Min
PTS	4.27	4.20	5.00	2.00	4.49	4.83
REB	2.33	2.20	2.30	1.00	2.27	2.42
AST	2.13	2.80	2.40	1.00	2.24	2.39
FG3M	0.67	0.60	0.80

Gabriela Jaquez — 13.92 MIN · 5.15 PTS · 10.02 FPTS

Ensemble components

Each stat is a weighted blend of season / L5 / L10 / h2h, then multiplied by pace × minute scale.

Stat	Season	L5	L10	h2h	Raw blend	× Pace × Min
PTS	6.84	1.20	2.80	13.50	5.83	5.15
REB	3.10	1.40	1.60	3.00	2.48	2.16
AST	0.90	0.40	0.50	2.00	0.82	0.72
FG3M	0.52	0.20	0.30

Predictions

Predicted final score

Injury report

Best value plays

CHI

NYL

Per-player detail