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Mick Messner Elite Prospects ↗

Position: Forward DOB: 1999-04-20 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
2015-16 Madison Capitols USHL 27 0 4 4 0.148 0.0874 0.0964 0.4448 0.4908
2016-17 Madison Capitols USHL 55 13 18 31 0.564 0.3325 0.3499 1.6927 1.7813
2017-18 Madison Capitols USHL 60 16 29 45 0.750 0.4424 0.4436 2.2526 2.2587
■ 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
2022-23 Merrimack D1 HockeyEast GR 35 5 4 9 0.257
2021-22 Merrimack D1 HockeyEast SR 21 1 5 6 0.286
2020-21 Merrimack D1 HockeyEast JR 14 0 2 2 0.143
2019-20 Wisconsin D1 BigTen SO 23 1 1 2 0.087
2018-19 Wisconsin D1 BigTen FR 37 7 5 12 0.324
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.35
before college
→
Actual FR PPG
0.32
2018-19 · Wisconsin
-6.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

85%
NCAA D1
0%
NCAA D2/D3
15%
Pro / Other

NCAAe Rankings

#12801
Forward overall
#575
Forward born in 1999
#1191
in USHL

D1 Comparables

John Stevens
USHL · 2012-13 · 0.81 PPG
→ Northeastern (0.59 D1 FR PPG)
0.48 Strong
NCAAe PPG
Drew Smolcynski
USHL · 2012-13 · 0.69 PPG
→ St. Lawrence (0.44 D1 FR PPG)
0.41 Average
NCAAe PPG
Daniel Milne
OHL · 2012-13 · 0.70 PPG
→ Michigan
0.40 No data
NCAAe PPG
Ray Pigozzi
USHL · 2012-13 · 0.64 PPG
→ UMass (0.55 D1 FR PPG)
0.38 Average
NCAAe PPG
Brandon Hawkins
NAHL · 2012-13 · 0.97 PPG
→ Bowling Green (0.77 D1 FR PPG)
0.37 Strong
NCAAe PPG

D2/3 Comparables

Tyler Barrow
Wilkes · 2016-17
1.385 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2022-23
1.120 Elite
actual D2/3 PPG
Jared Goudreau
Southern New Hampshire · 2014-15
0.833 Strong
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.