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Michael Bevilacqua Elite Prospects ↗

Position: Defense DOB: 2003-01-26 Country: USA
AIC
NE10 D2

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
2019-20 Des Moines Buccaneers USHL 2 0 0 0 0.000 — — — —
2020-21 Des Moines Buccaneers USHL 48 3 6 9 0.188 0.1106 0.1106 0.5631 0.5631
2021-22 Des Moines Buccaneers USHL 49 3 16 19 0.388 0.2288 0.2263 1.1647 1.1519
2022-23 Des Moines Buccaneers USHL 59 7 23 30 0.508 0.3000 0.2811 1.5272 1.4310
■ 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
2024-25 Bowling Green D1 CCHA — 0 0 0 0 0.000
2023-24 Bowling Green D1 CCHA — 20 2 5 7 0.350
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.35
2023-24 · Bowling Green
+43.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

90%
NCAA D1
0%
NCAA D2/D3
2%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#4776
Defenseman overall
#1181
Defenseman born in 2003
#2165
in USHL

D1 Comparables

Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.29 Elite D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG

D2/3 Comparables

Andrew Bellant
Adrian · 2016-17
1.462 Elite
actual D2/3 PPG
Tim Schneider
Middlebury · 2001-02
1.310 Elite
actual D2/3 PPG
Luke Panchisin
SUNY Geneseo · 2022-23
1.154 Elite
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.