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Reid Andresen Elite Prospects ↗

Position: Defense DOB: 2005-04-29 Country: Canada
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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
2020-21 Medicine Hat Tigers WHL 11 1 4 5 0.455 0.2211 0.2211 1.1152 1.1152
2021-22 Medicine Hat Tigers WHL 64 4 10 14 0.219 0.1064 0.1164 0.5369 0.5873
2022-23 Medicine Hat Tigers WHL 68 7 28 35 0.515 0.2504 0.2622 1.2629 1.3225
2023-24 Medicine Hat Tigers WHL 67 8 24 32 0.478 0.2324 0.2319 1.1719 1.1695
2024-25 Wenatchee Wild WHL 64 7 44 51 0.797 0.3877 0.3662 1.9554 1.8470
■ 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
2025-26 Michigan Tech D1 CCHA FR 39 4 10 14 0.359
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.29
before college
→
Actual FR PPG
0.36
2025-26 · Michigan Tech
+21.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
2%
NCAA D2/D3
22%
Age-Out / Club
55%
Pro / Other

NCAAe Rankings

#3094
Defenseman overall
#796
Defenseman born in 2005
#570
in WHL

D1 Comparables

Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG
Jared Kolquist
USHL · 2012-13 · 0.47 PPG
→ Merrimack (0.14 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.25 Average D
NCAAe PPG
Niklas Nevalainen
USHL · 2012-13 · 0.55 PPG
→ St. Cloud State (0.23 D1 FR PPG)
0.31 Average D
NCAAe PPG
Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.25 Strong D
NCAAe PPG

D2/3 Comparables

Todd Hosmer
SUNY Morrisville · 2007-08
1.160 Elite
actual D2/3 PPG
Nicolas Pigeon
Wisconsin-Stout · 2022-23
1.000 Elite
actual D2/3 PPG
Roman Cherniak
Lawrence · 2023-24
0.842 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.