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Evan Lindquist Elite Prospects ↗

Position: Defense DOB: 1996-05-29 Country: USA
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2015-16 — CCHL 62 5 16 21 0.339 0.0735 0.0716 0.2621 0.2553
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2019-20 Western New England D1 CNE SR 21 1 3 4 0.191
2019-20 Western New England D3 CNE — 21 1 3 4 0.191
2018-19 Western New England D1 CNE JR 12 0 3 3 0.250
2018-19 Western New England D3 CNE — 12 0 3 3 0.250
2017-18 SUNY Plattsburgh D3 SUNYAC — 18 0 1 1 0.056
2016-17 SUNY Plattsburgh D3 SUNYAC — 23 1 6 7 0.304
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.30
2016-17 · SUNY Plattsburgh
+350.1% vs. projection

NCAAe Rankings

#15861
Defenseman overall
#2035
Defenseman born in 1996
#1306
in CCHL

D1 Comparables

James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG
Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.08 No data
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.13 Average D
NCAAe PPG

D2/3 Comparables

Stevie Ray Adams
SUNY Morrisville · 2012-13
0.375 Average
actual D2/3 PPG
Brendan Roberts
Marian · 2007-08
0.778 Strong
actual D2/3 PPG
Matthew Roe
Worcester State · 2016-17
0.231 Developing
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.