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John Simonson Elite Prospects ↗

Position: Forward DOB: 1993-06-16 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
2011-12 Austin Bruins NAHL 59 18 20 38 0.644 0.2392 0.2494 0.6820 0.7110
2012-13 Austin Bruins NAHL 59 27 30 57 0.966 0.3587 0.3559 1.0229 1.0150
2013-14 Lincoln Stars USHL 58 28 31 59 1.017 0.6478 0.5875 3.0482 2.7643
■ 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 North Dakota D1 NCHC SR 35 4 3 7 0.200
2016-17 North Dakota D1 NCHC JR 39 2 6 8 0.205
2015-16 North Dakota D1 NCHC SO 43 3 14 17 0.395
2014-15 North Dakota D1 NCHC FR 22 0 5 5 0.227
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.42
before college
→
Actual FR PPG
0.23
2014-15 · North Dakota
-46.3% vs. projection

NCAAe Rankings

#3531
Forward overall
#149
Forward born in 1993

D1 Comparables

Michael Huntebrinker
USHL · 2012-13 · 0.91 PPG
→ Minnesota State (0.15 D1 FR PPG)
0.53 Developing
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.54 Average
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.54 Average
NCAAe PPG
Brandon Wahlin
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.47 Developing
NCAAe PPG
Tim Bonner
USHL · 2012-13 · 0.89 PPG
→ Yale
0.52 No data
NCAAe PPG

D2/3 Comparables

Joona Juntunen
Saint Mary's · 2023-24
0.826 Strong
actual D2/3 PPG
Conor Landrigan
Utica · 2016-17
1.038 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2004-05
1.704 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.