IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Dakoda Menslage Elite Prospects ↗

Position: Defense DOB: 1995-01-30 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
2012-13 Johnstown Tomahawks NAHL 7 0 0 0 0.000 — — — —
2013-14 Johnstown Tomahawks NAHL 55 5 11 16 0.291 0.1069 0.1094 0.3070 0.3142
2014-15 — NAHL 46 7 14 21 0.457 0.1677 0.1628 0.4818 0.4678
2015-16 — NAHL 31 2 5 7 0.226 0.0830 0.0769 0.2383 0.2208
■ 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
2016-17 Wentworth D3 CNE — 10 2 5 7 0.700
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.70
2016-17 · Wentworth
+566.7% vs. projection

NCAAe Rankings

#13410
Defenseman overall
#1752
Defenseman born in 1995
#4454
in NAHL

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Larry Niland
Elmira · 2018-19
0.250 Developing
actual D2/3 PPG
Matt Wilkins
Milwaukee School of Engineering · 2011-12
0.133 Developing
actual D2/3 PPG
Jordan Principalli
Adrian · 2009-10
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.