AI Model:

Olivier-Maxence Prosper▲

MEM · C

PPG

8.9

RPG

3.3

APG

1.0

L5 PPG

13.8

Last 10 GamesPTS

Season vs Last 5

Season Last 5

PPG+4.9

8.9

13.8

RPG+0.5

3.3

3.8

APG-0.4

1.0

0.6

SPG+0.9

0.7

1.6

BPG+0.1

0.3

0.4

OVER 10.5 PTS

Last 10 games

Current Streak

Longest Streak

OVER

Streak Type

10.5

IND

2026-03-01

2026-03-01 vs IND: 17 pts

MIN

2026-03-03

2026-03-03 vs MIN: 2 pts

POR

2026-03-04

2026-03-04 vs POR: 17 pts

LAC

2026-03-07

2026-03-07 vs LAC: 11 pts

BKN

2026-03-09

2026-03-09 vs BKN: 15 pts

PHI

2026-03-10

2026-03-10 vs PHI: 11 pts

DAL

2026-03-12

2026-03-12 vs DAL: 9 pts

DET

2026-03-13

2026-03-13 vs DET: 17 pts

CHI

2026-03-16

2026-03-16 vs CHI: 13 pts

DEN

2026-03-18

2026-03-18 vs DEN: 19 pts

Over 10.5

Under 10.5

Last 10 games

Prop Confidence

PTS

OVER 10.5FANDUEL

57%

REB

UNDER 4.5FANDUEL

67%

AST

UNDER 1

61%

3PM

OVER 1.5FANDUEL

64%

STL

OVER 0.5

58%

BLK

UNDER 0.5BETMGM

63%

STL+BLK

OVER 1.5

56%

OVER 1

54%

PRA

OVER 15.5DRAFTKINGS

52%

Home vs Away

Home

Away

PPG

12.8

13.3

RPG

4.5

4.3

APG

1.4

1.2

vs BOS (H2H)4 games

PPG

2.5

RPG

1.8

APG

1.5

Defensive Matchup Profile

Top Defenders This Season

Defender	Games	Min	eFG%	vs Season	Sample
Donovan Clingan	3	13	72%	+13.8%	medium
Rudy Gobert	4	8	50%	-4.9%	medium
Nikola Jokić	2	8	75%	+7.6%	low
Julius Randle	4	7	65%

Scoring surge, but rebounds stay capped

Olivier-Maxence Prosper is in clear scoring form, with his last 5 at 13.8 PPG versus a season mark of 8.9 and his last 10 at 13.1, supported by a minutes jump from 18.0 season MPG to 24.9 recently. The main concern is regression: his recent scoring is well above his season baseline, while rebounds have only moved modestly from 3.3 to 3.8. The matchup data also leans mixed, since his head-to-head sample versus this opponent is only 2.5 PPG across 4 games and the opponent profile shows a 106.96 defensive rating with -1.919 scoring suppression. With available lines, points are playable but rebounds look more attractive on the under.

Stat Trends

PPG

13.8(↑ from 8.9)

RPG

3.8(→ from 3.3)

APG

0.6(↓ from 1.0)

Stocks

2.0(↑ from 0.9)

Key Matchup

No specific defender matchup data beyond the listed key defenders, so there is no clear one-on-one defensive assignment to target. The opponent metrics are neutral-to-slightly suppressive, with a 106.96 defensive rating and -1.919 scoring suppression, which slightly favors restraint on overs.

Prop Analysis

Player	Prop	Line	Pick	Confidence	ML	Trend	Actual	Result
Olivier-Maxence Prosper▼	Points	10.5	OVER	57%MEDIUM	1/2	80%	14	✓
Olivier-Maxence Prosper▼	Rebounds	4.5	UNDER	67%MEDIUM	2/2	70%	7	✗
Olivier-Maxence Prosper▼	Assists	1	UNDER	61%MEDIUM	2/2	60%	2	✗
Olivier-Maxence Prosper▼	3PM	1.5	OVER	64%MEDIUM	2/2	50%	1	✗
Olivier-Maxence Prosper▼	Steals	0.5	OVER	58%MEDIUM	1/2	60%	1	✓
Olivier-Maxence Prosper▼	Blocks	0.5	UNDER	63%MEDIUM	—	60%	0	✓
Olivier-Maxence Prosper▼	STL+BLK	1.5	OVER	56%MEDIUM	—	40%	1	✗
Olivier-Maxence Prosper▼	Turnovers	1	OVER	54%MEDIUM	—	50%	1	✗
Olivier-Maxence Prosper▼	PRA	15.5	OVER	52%MEDIUM	1/2	80%	23	✓

ML Scout Analysis

P+A16UNDER0%gbt_paWeak Leg (10/20)9/2045%▼

R+A6UNDER0%gbt_raWeak Leg (9/20)UNDER 4x6/2030%▼

P+R19UNDER0%gbt_prWeak Leg (8/20)8/2040%▼

Featured Pick

Olivier-Maxence Prosper

Threes OVER 1.5HIGH

This is the cleanest value on the board: he averages 1.02 threes per game on the season, 1.7 over the last 10, and the value data shows a 21.4% edge on the over at 1.5. Even with regression risk, the combination of recent volume and strong book edge makes this the best bet.

This analysis is for informational and entertainment purposes only. It is not financial or gambling advice. Always gamble responsibly.

Defender	Games	Min	PTS	FG%	eFG%
Luka Garza	2	7	11	83%	92%
Jaylen Brown	2	3	9	44%	50%
Jayson Tatum	1	2	3	50%	75%
Payton Pritchard	2	2	2	0%	0%
Baylor Scheierman	2	2	2	100%	100%

pointsOVER 10.557%MEDIUM

His recent scoring output is 13.8 PPG over the last 5 and 13.1 over the last 10, both above the 8.9 season average. The over is still only moderate confidence because the recent surge is above baseline and his season std of 6.34 is sizable.

reboundsUNDER 4.567%MEDIUM

He averages just 3.3 RPG on the season and 3.8 over the last 5, still below this line. The value data also shows the under as the preferred side across books, and his rebounding standard deviation of 2.46 makes the over less reliable.

assistsUNDER 161%MEDIUM

His season assist average is 1.0, but the recent trend is lower at 0.6 over the last 5. With a season std of 1.31 and limited playmaking volume, the under is the safer lean.

threesOVER 1.564%MEDIUM

He is averaging 1.02 threes per game on the season and 1.7 over the last 10, with 1.8 over the last 5. The value prop data shows a 21.4% edge on the over at 1.5 threes, which is the strongest number in the set.

stealsOVER 0.558%MEDIUM

He averages 0.7 steals per game on the season and 1.6 over the last 5, so he clears this type of line more often than not. The volatility is moderate, but the recent defensive activity supports the over.

blocksUNDER 0.563%MEDIUM

He averages only 0.3 blocks per game on the season and 0.4 over the last 5, both below 0.5. That makes the under the cleaner side even with some recent minutes growth.

stocksOVER 1.556%MEDIUM

He combines 0.7 steals and 0.3 blocks on the season for 0.93 stocks, but his last 10 stocks are 1.5 and last 5 are 2.0. This is playable, though combo volatility keeps confidence only moderate.

turnoversOVER 154%MEDIUM

His recent turnover rates are 1.2 over the last 5 and 1.3 over the last 10, with a 1.0 season baseline. This is a small edge either way, but the recent usage bump nudges over slightly.

praOVER 15.552%MEDIUM

His recent production is enough to clear this line in some games, but combo props are lower-confidence by nature and his season baseline is much lower than recent form. Use caution because PRA is more volatile than the single-stat markets.

timelineOVER 10.5 PTS