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Charlie Gollob Elite Prospects ↗

Position: Forward DOB: 2004-02-10 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 Avon Old Farms NE-Prep 25 5 17 22 0.880 0.1743 0.1743 0.4009 0.4009
2022-23 Avon Old Farms NE-Prep 28 13 25 38 1.357 0.2688 0.2688 0.6183 0.6183
2023-24 Victoria Grizzlies BCHL 53 15 23 38 0.717 0.2763 0.2667 1.0435 1.0074
■ 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 Brown D1 ECAC SO 30 4 8 12 0.400
2024-25 Brown D1 ECAC — 27 4 5 9 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.33
2024-25 · Brown
+45.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
2%
NCAA D2/D3
18%
Age-Out / Club
50%
Pro / Other

NCAAe Rankings

#15846
Forward overall
#768
Forward born in 2004

D1 Comparables

Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Jake Russell
Assumption · 2023-24
1.067 Elite
actual D2/3 PPG
Brent Wold
Utica · 2012-13
1.000 Elite
actual D2/3 PPG
Lucas Romero
Westfield State · 2008-09
1.044 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.