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Tommy Apap Elite Prospects ↗

Position: Forward DOB: 1996-02-27 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
2014-15 Wichita Falls Wildcats NAHL 57 13 26 39 0.684 0.2514 0.2576 0.7231 0.7410
2015-16 — USHL 52 5 12 17 0.327 0.1928 0.1824 0.9809 0.9281
2016-17 Youngstown Phantoms USHL 58 4 16 20 0.345 0.2034 0.1821 1.0346 0.9262
■ 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
2020-21 Michigan State D1 BigTen SR 25 5 4 9 0.360
2019-20 Michigan State D1 BigTen JR 36 7 5 12 0.333
2018-19 Michigan State D1 BigTen SO 36 3 3 6 0.167
2017-18 Michigan State D1 BigTen FR 30 2 2 4 0.133
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.13
2017-18 · Michigan State
-14.6% vs. projection

NCAAe Rankings

#25426
Forward overall
#1034
Forward born in 1996

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

Eric Bolden
Elmira · 2016-17
1.000 Elite
actual D2/3 PPG
Hunter Schneider
Wisconsin-River Falls · 2015-16
0.600 Average
actual D2/3 PPG
Travis Broughman
SUNY Oswego · 2017-18
0.852 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.