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Ben Almquist Elite Prospects ↗

Position: Forward DOB: 1999-10-01 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
2014-15 Holy Family Catholic USHS-MN 24 5 10 15 0.625 0.0791 0.0853 0.1518 0.1637
2017-18 Tri-City Storm USHL 11 0 1 1 0.091 0.0536 0.0549 0.2730 0.2799
2018-19 Cedar Rapids RoughRiders USHL 26 4 1 5 0.192 0.1134 0.1104 0.5776 0.5623
2019-20 Austin Bruins NAHL 28 17 13 30 1.071 0.3936 0.3936 1.1309 1.1309
■ 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
2023-24 Alaska Anchorage D1 WCHA — 34 14 16 30 0.882
2022-23 Alaska Anchorage D1 WCHA — 28 6 14 20 0.714
2021-22 Minnesota Duluth D1 NCHC — 18 2 3 5 0.278
2020-21 Minnesota Duluth D1 NCHC SO 10 1 0 1 0.100
2019-20 Minnesota Duluth D1 NCHC FR 14 0 1 1 0.071
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.07
2019-20 · Minnesota Duluth
-5.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
15%
NCAA D2/D3
18%
Age-Out / Club
42%
Pro / Other

NCAAe Rankings

#14334
Forward overall
#670
Forward born in 1999

D1 Comparables

Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.16 Developing
NCAAe PPG
Landon Smith
USHL · 2012-13 · 0.39 PPG
→ Quinnipiac (0.79 D1 FR PPG)
0.22 Strong
NCAAe PPG
Dylan Gareau
USHL · 2012-13 · 0.34 PPG
→ Clarkson (0.14 D1 FR PPG)
0.20 Developing
NCAAe PPG
Sebastian Weberg
USHL · 2012-13 · 0.23 PPG
→ Colgate
0.13 No data
NCAAe PPG

D2/3 Comparables

Cory Mozak
Wisconsin-Stout · 2003-04
0.640 Average
actual D2/3 PPG
Zac Boyle
Neumann · 2015-16
0.389 Average
actual D2/3 PPG
Justin Geary
Wilkes · 2017-18
0.000 No data
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.