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Tim Monaghan Elite Prospects ↗

Position: Forward DOB: 2005-07-22 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
2024-25 Metro Jets USPHL-Premier 38 11 15 26 0.684 0.0895 0.0883 0.2322 0.2292
■ 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
2025-26 Saginaw Valley State University ACHA_D1 — — 22 7 7 14 0.636
2024-25 Saginaw Valley State University ACHA_D1 — — 22 7 7 14 0.636
2023-24 Saginaw Valley State University ACHA_D1 — — 22 7 7 14 0.636
2022-23 Saginaw Valley State University ACHA_D1 — — 22 7 7 14 0.636
2021-22 Saginaw Valley State University ACHA_D1 — — 22 7 7 14 0.636
2020-21 Saginaw Valley State University ACHA_D1 — — 22 7 7 14 0.636

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D2/D3
8%
Club / ACHA
30%
Other

NCAAe Rankings

#24677
Forward overall
#1396
Forward born in 2005
#1770
in USPHL-Premier

D1 Comparables

Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG

D2/3 Comparables

Jack Jenkins
Suffolk · 2014-15
0.346 Developing
actual D2/3 PPG
Eric Johansson
Endicott · 2017-18
0.545 Average
actual D2/3 PPG
Mark Sullivan
SUNY Potsdam · 2006-07
0.267 Developing
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.