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Reid Varkonyi Elite Prospects ↗

Position: Forward DOB: 2006-01-15 Country: Canada
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
2021-22 Sherwood Park Crusaders AJHL 2 0 0 0 0.000 — — — —
2022-23 Salmon Arm Silverbacks BCHL 48 4 9 13 0.271 0.1009 0.1118 0.3946 0.4371
2023-24 Salmon Arm Silverbacks BCHL 54 10 18 28 0.518 0.1931 0.2051 0.7555 0.8023
2024-25 Sioux Falls Stampede USHL 59 20 32 52 0.881 0.5418 0.5336 2.5968 2.5575
■ 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 Denver D1 NCHC FR 43 2 8 10 0.233
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.34
before college
→
Actual FR PPG
0.23
2025-26 · Denver
-32.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

98%
NCAA D1
0%
NCAA D2/D3
2%
Pro / Other

NCAAe Rankings

#13055
Forward overall
#504
Forward born in 2006

D1 Comparables

Zeb Knutson
USHL · 2012-13 · 0.82 PPG
→ Minnesota (0.33 D1 FR PPG)
0.50 Developing
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
Adam Gilmour
USHL · 2012-13 · 0.73 PPG
→ Boston College (0.50 D1 FR PPG)
0.44 Average
NCAAe PPG
Ryan Papa
USHL · 2012-13 · 0.72 PPG
→ St. Cloud State (0.59 D1 FR PPG)
0.43 Strong
NCAAe PPG

D2/3 Comparables

Rihards Marenis
Aurora · 2013-14
1.000 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2023-24
1.120 Elite
actual D2/3 PPG
Zach Dill
Salem State · 2021-22
1.111 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.