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Adam Kresl Elite Prospects ↗

Position: Forward DOB: 1995-02-24 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 Kenai River Brown Bears NAHL 4 2 0 2 0.500 0.1776 0.1824 0.5250 0.5390
2014-15 — NAHL 33 2 6 8 0.242 0.0861 0.0839 0.2545 0.2480
2015-16 — NAHL 57 3 12 15 0.263 0.0935 0.0870 0.2763 0.2570
■ 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
2019-20 Wisconsin-Stout D1 BigTen SR 26 5 7 12 0.462
2019-20 Wisconsin-Stout D3 BigTen SR 26 5 7 12 0.462
2018-19 Wisconsin-Stout D1 BigTen JR 27 1 5 6 0.222
2018-19 Wisconsin-Stout D3 BigTen JR 27 1 5 6 0.222
2017-18 Wisconsin-Stout D3 BigTen SO 24 1 4 5 0.208
2016-17 Wisconsin-Stout D3 BigTen FR 27 5 8 13 0.481
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.48
2016-17 · Wisconsin-Stout
+556.0% vs. projection

NCAAe Rankings

#46379
Forward overall
#2005
Forward born in 1995
#5228
in NAHL

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
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Eddie Shepler
Milwaukee School of Engineering · 2023-24
0.560 Average
actual D2/3 PPG
Charlie Robinson
St. John Fisher · 2024-25
0.320 Developing
actual D2/3 PPG
Tommy Horn
SUNY Oswego · 2016-17
0.400 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.