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Jared Kolquist Elite Prospects ↗

Position: Defense DOB: 1993-04-22 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
2012-13 Sioux City Musketeers USHL 57 6 21 27 0.474 0.2794 0.2643 1.4227 1.3460
2013-14 Lincoln Stars USHL 60 3 23 26 0.433 0.2556 0.2299 1.3014 1.1704
■ 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
2017-18 Merrimack D1 HockeyEast SR 37 4 20 24 0.649
2016-17 Merrimack D1 HockeyEast JR 37 3 10 13 0.351
2015-16 Merrimack D1 HockeyEast SO 39 2 13 15 0.385
2014-15 Merrimack D1 HockeyEast FR 35 2 3 5 0.143
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.14
2014-15 · Merrimack
-37.9% vs. projection

NCAAe Rankings

#3773
Defenseman overall
#633
Defenseman born in 1993
#1794
in USHL

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG

D2/3 Comparables

Matt Galati
SUNY Oswego · 2012-13
1.241 Elite
actual D2/3 PPG
Brady Fleurent
University of New England · 2014-15
1.074 Elite
actual D2/3 PPG
Braydon Beahm
St. Norbert · 2024-25
0.968 Strong
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.