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John Terhaar Elite Prospects ↗

Position: Defense DOB: 2004-06-27 Country: USA
No commitment set

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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
2021-22 Protec Jr. Ducks EHL 2 0 0 0 0.000 — — — —
2022-23 Mercer Chiefs NCDC 6 0 0 0 0.000 — — — —
2023-24 Mercer Chiefs NCDC 43 1 5 6 0.140 0.0322 0.0322 0.1128 0.1126
2024-25 Mercer Chiefs NCDC 48 4 13 17 0.354 0.0819 0.0781 0.2864 0.2732
■ 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 Alvernia D3 MAC — 25 0 3 3 0.120
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.06
before college
→
Actual FR PPG
0.12
2025-26 · Alvernia
+112.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D2/D3
5%
Club / ACHA
0%
Other

NCAAe Rankings

#10811
Defenseman overall
#2306
Defenseman born in 2004

D1 Comparables

Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 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
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG

D2/3 Comparables

Mike Foy
SUNY Potsdam · 2007-08
0.750 Strong
actual D2/3 PPG
Sean Driscoll
Connecticut College · 2018-19
0.560 Average
actual D2/3 PPG
David Carr
SUNY Potsdam · 2009-10
0.333 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.