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Skogen Schrott Elite Prospects ↗

Position: Forward DOB: 2005-07-05 Country: USA
Colby
NESCAC D3

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 Youngstown Phantoms USHL 2 0 0 0 0.000 — — — —
2023-24 Prince George Spruce Kings BCHL 50 14 14 28 0.560 0.2158 0.2234 0.8150 0.8438
2024-25 Baie-Comeau Drakkar QMJHL 26 2 7 9 0.346 0.1701 0.1638 0.9245 0.8900
2025-26 New Jersey Jr. Titans NAHL 54 32 32 64 1.185 0.4354 0.4150 1.2510 1.1924
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
2%
NCAA D2/D3
20%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#11385
Forward overall
#529
Forward born in 2005

D1 Comparables

Brandon Wahlin
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.46 Developing
NCAAe PPG
Michael Huntebrinker
USHL · 2012-13 · 0.91 PPG
→ Minnesota State (0.15 D1 FR PPG)
0.49 Developing
NCAAe PPG
T.J. Sarcona
NAHL · 2012-13 · 1.06 PPG
→ Niagara (0.58 D1 FR PPG)
0.36 Strong
NCAAe PPG
Tim Bonner
USHL · 2012-13 · 0.89 PPG
→ Yale
0.48 No data
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG

Colby Alumni similar profiles who attended this school

Joel Covelli
1.04
actual FR PPG at Colby
Massimo Gentile
0.73
actual FR PPG at Colby
Brian Sanzone
0.38
actual FR PPG at Colby
Will Soloway
0.75
actual FR PPG at Colby

D2/3 Comparables

Quinn Tavares
Salve Regina · 2023-24
0.962 Strong
actual D2/3 PPG
Jack Hatton
Saint Mary's (MN) · 2017-18
0.600 Average
actual D2/3 PPG
Taylor Bommarito
Manhattanville · 2016-17
0.731 Strong
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.