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Truman Landowski Elite Prospects ↗

Position: Forward DOB: 1992-04-07 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
2010-11 Janesville Jets NAHL 52 7 8 15 0.288 0.1071 0.1106 0.3055 0.3154
2011-12 Janesville Jets NAHL 59 6 19 25 0.424 0.1573 0.1546 0.4486 0.4410
2012-13 Trenton Golden Hawks OJHL 51 9 19 28 0.549 0.1534 0.1396 0.3789 0.3447
■ 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
2016-17 Hamilton D3 NESCAC SR 25 6 5 11 0.440
2015-16 Hamilton D3 NESCAC JR 22 2 6 8 0.364
2014-15 Hamilton D3 NESCAC SO 25 4 3 7 0.280
2013-14 Hamilton D3 NESCAC FR 22 4 9 13 0.591
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.59
2013-14 · Hamilton
+374.2% vs. projection

NCAAe Rankings

#28709
Forward overall
#1223
Forward born in 1992

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Bob Kinne
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG
Bradley Duwe
NAHL · 2012-13 · 0.65 PPG
→ Alaska Anchorage (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Ricky DeRosa
NAHL · 2012-13 · 0.71 PPG
→ Penn State (0.38 D1 FR PPG)
0.24 Average
NCAAe PPG

D2/3 Comparables

Michael Lindberg
SUNY Cortland · 2015-16
0.333 Developing
actual D2/3 PPG
Clay Ellerbrock
UMass Dartmouth · 2018-19
0.444 Average
actual D2/3 PPG
Nick Simson
Fredonia · 2008-09
0.438 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.