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Gavyn Thoreson Elite Prospects ↗

Position: Forward DOB: 2004-10-30 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 Andover USHS-MN 22 15 39 54 2.454 0.6608 0.6608 0.5962 0.5962
2021-22 Andover USHS-MN 31 30 44 74 2.387 0.6426 0.6426 — —
2022-23 Waterloo Black Hawks USHL 23 9 14 23 1.000 0.6147 0.6301 2.9462 3.0200
2023-24 Waterloo Black Hawks USHL 60 22 43 65 1.083 0.6659 0.6495 3.1916 3.1129
■ 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 St. Cloud State D1 NCHC SO 36 11 9 20 0.556
2024-25 St. Cloud State D1 NCHC — 36 6 4 10 0.278
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.60
before college
→
Actual FR PPG
0.28
2024-25 · St. Cloud State
-53.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

95%
NCAA D1
0%
NCAA D2/D3
5%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#3049
Forward overall
#53
Forward born in 2004

D1 Comparables

Frank DiChiara
USHL · 2012-13 · 0.94 PPG
→ Yale (0.41 D1 FR PPG)
0.56 Average
NCAAe PPG
Alex Iafallo
USHL · 2012-13 · 0.86 PPG
→ Minnesota Duluth (0.61 D1 FR PPG)
0.52 Strong
NCAAe PPG
Nathan Walker
USHL · 2012-13 · 0.93 PPG
→ Marian (0.21 D1 FR PPG)
0.56 Developing
NCAAe PPG
J.T. Stenglein
USHL · 2012-13 · 1.04 PPG
→ Michigan (0.07 D1 FR PPG)
0.61 Developing
NCAAe PPG
Dominic Toninato
USHL · 2012-13 · 1.09 PPG
→ Minnesota Duluth (0.43 D1 FR PPG)
0.67 Average
NCAAe PPG

D2/3 Comparables

Ryan Ellis
SUNY Oswego · 2002-03
1.704 Elite
actual D2/3 PPG
Filimon Ledenkov
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
Brandon Osmundson
Utica · 2018-19
1.448 Elite
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.