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Therien Thiesing Elite Prospects ↗

Position: Defense DOB: 2003-01-05 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
2020-21 Austin Bruins NAHL 28 0 3 3 0.107 0.0380 0.0380 0.1124 0.1124
2021-22 Austin Bruins NAHL 50 2 13 15 0.300 0.1066 0.1095 0.3150 0.3235
2022-23 Oklahoma Warriors NAHL 53 7 19 26 0.491 0.1743 0.1704 0.5151 0.5037
2023-24 — NAHL 40 1 8 9 0.225 0.0799 0.0743 0.2362 0.2197
■ 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 Endicott D3 CNE — 21 2 6 8 0.381
2024-25 Endicott D3 CNE — 27 2 9 11 0.407
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.41
2024-25 · Endicott
+282.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
15%
NCAA D2/D3
62%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#12899
Defenseman overall
#2547
Defenseman born in 2003
#4306
in NAHL

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 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
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

D2/3 Comparables

Hunter Hanson
St. Scholastica · 2022-23
0.542 Average
actual D2/3 PPG
Jordan Principalli
Adrian · 2009-10
0.000 No data
actual D2/3 PPG
Darin Pandovski
Elmira · 2005-06
0.154 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.