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Tim Clifton Elite Prospects ↗

Position: Forward DOB: 1998-02-23 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
2014-15 New Jersey Rockets EHL 20 0 1 1 0.050 0.0116 0.0132 0.0245 0.0278
2017-18 Chicago Steel USHL 31 0 3 3 0.097 0.0571 0.0540 0.2907 0.2747
2018-19 Chicago Steel USHL 12 0 0 0 0.000 — — — —
■ 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 Sacred Heart D1 AHA SR 34 1 2 3 0.088
2021-22 Sacred Heart D1 AHA JR 21 0 1 1 0.048
2020-21 Sacred Heart D1 AHA SO 14 1 0 1 0.071
2019-20 Sacred Heart D1 AHA FR 3 0 0 0 0.000
2016-17 Quinnipiac D1 ECAC SR 39 13 12 25 0.641
2015-16 Quinnipiac D1 ECAC JR 39 19 24 43 1.103
2014-15 Quinnipiac D1 ECAC SO 37 9 8 17 0.460
2013-14 Quinnipiac D1 ECAC FR 40 3 7 10 0.250

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
0%
NCAA D2/D3
82%
Pro / Other

NCAAe Rankings

#48285
Forward overall
#2637
Forward born in 1998

D1 Comparables

Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG

D2/3 Comparables

Joe Gori
SUNY Plattsburgh · 2002-03
0.357 Average
actual D2/3 PPG
Shane Beaulieu
SUNY Cortland · 2016-17
0.375 Average
actual D2/3 PPG
J.P. Eykyn
Gustavus Adolphus · 2016-17
0.286 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.