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Tarek Baker Elite Prospects ↗

Position: Forward DOB: 1997-02-22 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
2013-14 Des Moines Buccaneers USHL 3 0 1 1 0.333 0.1966 0.2145 1.0010 1.0923
2014-15 Central Illinois Flying Aces USHL 51 6 11 17 0.333 0.1966 0.2049 1.0010 1.0432
2015-16 Central Illinois Flying Aces USHL 60 20 29 49 0.817 0.4818 0.4797 2.4529 2.4421
2016-17 — USHL 45 14 9 23 0.511 0.3015 0.2848 1.5350 1.4499
■ 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
2021-22 Wisconsin D1 BigTen GR 27 5 12 17 0.630
2020-21 Wisconsin D1 BigTen SR 27 3 9 12 0.444
2019-20 Wisconsin D1 BigTen JR 36 4 6 10 0.278
2018-19 Wisconsin D1 BigTen SO 37 7 13 20 0.540
2017-18 Wisconsin D1 BigTen FR 37 10 11 21 0.568
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.31
before college
→
Actual FR PPG
0.57
2017-18 · Wisconsin
+82.8% vs. projection

NCAAe Rankings

#12177
Forward overall
#545
Forward born in 1997
#1128
in USHL

D1 Comparables

Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Cameron Brown
USHL · 2012-13 · 0.59 PPG
→ Maine (0.54 D1 FR PPG)
0.33 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Richard McCartney
SUNY Plattsburgh · 2016-17
0.923 Strong
actual D2/3 PPG
Andrew Bellant
Adrian · 2016-17
1.462 Elite
actual D2/3 PPG
Tim Schneider
Middlebury · 2001-02
1.310 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.