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Ronnie Hein Elite Prospects ↗

Position: Forward DOB: 1997-01-22 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 Corpus Christi IceRays NAHL 2 0 0 0 0.000 — — — —
2014-15 Waterloo Black Hawks USHL 33 11 10 21 0.636 0.3754 0.3896 1.9114 1.9838
2015-16 Waterloo Black Hawks USHL 57 14 35 49 0.860 0.5071 0.5027 2.5817 2.5594
■ 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 Ohio State D1 BigTen SR 35 8 9 17 0.486
2018-19 Ohio State D1 BigTen JR 35 11 10 21 0.600
2017-18 Ohio State D1 BigTen SO 27 4 8 12 0.444
2016-17 Ohio State D1 BigTen FR 16 5 6 11 0.688
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.39
before college
→
Actual FR PPG
0.69
2016-17 · Ohio State
+75.6% vs. projection

NCAAe Rankings

#8703
Forward overall
#408
Forward born in 1997

D1 Comparables

Nathan Walker
USHL · 2012-13 · 0.93 PPG
→ Marian (0.21 D1 FR PPG)
0.54 Developing
NCAAe PPG
Zeb Knutson
USHL · 2012-13 · 0.82 PPG
→ Minnesota State (0.33 D1 FR PPG)
0.48 Developing
NCAAe PPG
Alex Iafallo
USHL · 2012-13 · 0.86 PPG
→ Minnesota Duluth (0.61 D1 FR PPG)
0.50 Strong
NCAAe PPG
Adam Gilmour
USHL · 2012-13 · 0.73 PPG
→ Boston College (0.50 D1 FR PPG)
0.43 Average
NCAAe PPG
Dave Gust
USHL · 2012-13 · 0.77 PPG
→ Ohio State (0.38 D1 FR PPG)
0.45 Average
NCAAe PPG

D2/3 Comparables

Sascha Figi
Fitchburg State · 2016-17
1.429 Elite
actual D2/3 PPG
Rihards Marenis
Aurora · 2013-14
1.000 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2023-24
1.120 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.