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Gustav Bengtson Elite Prospects ↗

Position: Forward DOB: 1989-08-31 Country: Sweden
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
2005-06 AIK U20 SuperElit 1 0 0 0 0.000 — — — —
2007-08 Cedar Rapids RoughRiders USHL 7 0 1 1 0.143 0.0843 0.0862 0.4292 0.4391
2008-09 — NAHL 42 2 9 11 0.262 0.0962 0.0956 0.2764 0.2746
■ 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
2013-14 Gustavus Adolphus D3 MIAC SR 23 8 8 16 0.696
2012-13 Gustavus Adolphus D3 MIAC JR 12 3 4 7 0.583
2011-12 Gustavus Adolphus D3 MIAC SO 26 7 7 14 0.538
2010-11 Gustavus Adolphus D3 MIAC FR 25 8 8 16 0.640
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.64
2010-11 · Gustavus Adolphus
+714.2% vs. projection

NCAAe Rankings

#34989
Forward overall
#1149
Forward born in 1989

D1 Comparables

Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Landon Smith
USHL · 2012-13 · 0.39 PPG
→ Quinnipiac (0.79 D1 FR PPG)
0.22 Strong
NCAAe PPG
Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Zach Schrotenboer
Wisconsin-River Falls · 2010-11
0.571 Average
actual D2/3 PPG
Dominic Metro
Endicott · 2021-22
0.000 No data
actual D2/3 PPG
Kurtis Astle
St. Norbert · 2005-06
0.375 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.