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Johnny Conlin Elite Prospects ↗

Position: Forward DOB: 2005-12-20 Country: USA
Bethel
MIAC D3

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
2020-21 Mounds View USHS-MN 20 4 9 13 0.650 0.0823 0.0823 0.1579 0.1579
2021-22 Mounds View USHS-MN 24 11 18 29 1.208 0.1530 0.1530 0.2935 0.2935
2022-23 Mounds View USHS-MN 25 22 28 50 2.000 0.2532 0.2532 0.4858 0.4858
2023-24 Mounds View USHS-MN 26 31 20 51 1.962 0.2483 0.2483 0.4764 0.4764
2024-25 Youngstown Phantoms USHL 33 0 6 6 0.182 0.1072 0.1052 0.5460 0.5358
2025-26 Philadelphia Rebels NAHL 19 8 9 17 0.895 0.3287 0.3209 0.9444 0.9219
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

52%
NCAA D1
12%
NCAA D2/D3
20%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#14415
Forward overall
#718
Forward born in 2005

D1 Comparables

Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.41 Strong
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG

Bethel Alumni similar profiles who attended this school

Jory McWilliams
0.00
actual FR PPG at Bethel
Jarrett Cammarata
0.68
actual FR PPG at Bethel
Dallas Marvin
0.64
actual FR PPG at Bethel
Tyler Braccini
0.73
actual FR PPG at Bethel

D2/3 Comparables

Jack Wineman
Gustavus Adolphus · 2022-23
0.786 Strong
actual D2/3 PPG
Devin Rohrich
Franklin Pierce · 2021-22
0.613 Average
actual D2/3 PPG
Drake Barnish
Utica · 2021-22
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.