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Willem Nong-Lambert Elite Prospects ↗

Position: Forward DOB: 1994-03-10 Country: USA
No commitment set

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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
2011-12 Amarillo Wranglers NAHL 4 1 2 3 0.750 0.2756 0.2974 0.7916 0.8542
2012-13 — USHL 54 17 15 32 0.593 0.3496 0.3462 1.7798 1.7623
2013-14 Des Moines Buccaneers USHL 40 9 9 18 0.450 0.2655 0.2505 1.3515 1.2750
■ 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
2017-18 Wisconsin-Stevens Point D3 BigTen SR 27 11 23 34 1.259
2016-17 Wisconsin-Stevens Point D3 BigTen JR 27 9 15 24 0.889
2015-16 Western Michigan D1 NCHC SO 19 0 0 0 0.000
2014-15 Western Michigan D1 NCHC FR 35 1 4 5 0.143
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.14
2014-15 · Western Michigan
-42.2% vs. projection

NCAAe Rankings

#14979
Forward overall
#609
Forward born in 1994

D1 Comparables

Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.22 Developing
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG

D2/3 Comparables

Connor Inger
New England College · 2016-17
0.692 Strong
actual D2/3 PPG
Tyler Resch
Manhattanville · 2000-01
1.154 Elite
actual D2/3 PPG
Jason Murfitt
Manhattanville · 2002-03
0.875 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.