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Blake Gutterman Elite Prospects ↗

Position: Defense DOB: 1999-05-07 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 Forest Lake High (MN) USHS-MN 20 0 8 8 0.400 0.1077 0.1140 0.0972 0.1029
2017-18 Minnesota Mullets USPHL-Premier 12 1 0 1 0.083 0.0275 0.0284 0.0283 0.0292
2018-19 Minnesota Mullets USPHL-Premier 32 10 9 19 0.594 0.1957 0.1917 0.2020 0.1978
2019-20 Minnesota Mullets USPHL-Premier 40 19 32 51 1.275 0.4202 0.4202 0.4338 0.4338
■ 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
2020-21 Finlandia D1 — FR 8 4 1 5 0.625
2020-21 Finlandia D3 — FR 8 4 1 5 0.625
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.62
2020-21 · Finlandia
+423.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D2/D3
0%
Club / ACHA
52%
Other

NCAAe Rankings

#4070
Defenseman overall
#983
Defenseman born in 1999

D1 Comparables

Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.14 Average D
NCAAe PPG
Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.21 Average D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.26 Average D
NCAAe PPG
Jared Kolquist
USHL · 2012-13 · 0.47 PPG
→ Merrimack (0.14 D1 FR PPG)
0.28 Developing D
NCAAe PPG
Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.26 Strong D
NCAAe PPG

D2/3 Comparables

Hunter Luhmann
Endicott · 2016-17
0.421 Average
actual D2/3 PPG
Peter Falivena
Bryn Athyn · 2017-18
0.368 Average
actual D2/3 PPG
Cory Checco
Lawrence · 2018-19
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.