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Nicholas Sima Elite Prospects ↗

Position: Forward DOB: 2005-03-31 Country: Canada
Michigan
BigTen D1

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 North Bay Battalion OHL 59 4 7 11 0.186 0.1078 0.1172 0.4881 0.5305
2022-23 — OHL 61 6 10 16 0.262 0.1517 0.1583 0.6868 0.7168
2023-24 Saginaw Spirit OHL 60 8 10 18 0.300 0.1736 0.1729 0.7855 0.7822
2024-25 Saginaw Spirit OHL 62 18 17 35 0.565 0.3266 0.3084 1.4781 1.3957
2025-26 Saginaw Spirit OHL 66 19 25 44 0.667 0.3857 0.3448 1.7457 1.5605
■ 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
2026-27 Michigan D1 BigTen FR 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
2%
NCAA D2/D3
20%
Age-Out / Club
28%
Pro / Other

NCAAe Rankings

#14646
Forward overall
#720
Forward born in 2005
#673
in OHL

D1 Comparables

OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

Michigan Alumni similar profiles who attended this school

USHS-MN 2021-22
0.95
actual FR PPG at Michigan
NAHL 2015-16
0.53
actual FR PPG at Michigan
BCHL 2018-19
0.52
actual FR PPG at Michigan
USHS-MN 2019-20
0.69
actual FR PPG at Michigan

D2/3 Comparables

SUNY Oswego · 2004-05
0.926 Strong
actual D2/3 PPG
SUNY Geneseo · 2015-16
1.296 Elite
actual D2/3 PPG
UMass Dartmouth · 2023-24
0.611 Average
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.