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Joe Serpico Elite Prospects ↗

Position: Forward DOB: 1994-01-17 Country: Canada
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
2010-11 Drumheller Dragons AJHL 2 0 0 0 0.000 — — — —
2012-13 Calgary Mustangs AJHL 58 8 27 35 0.603 0.2024 0.2040 0.5584 0.5627
2013-14 — AJHL 56 17 28 45 0.804 0.2695 0.2576 0.7437 0.7108
2014-15 Canmore Eagles AJHL 60 18 29 47 0.783 0.2627 0.2371 0.7249 0.6544
■ 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
2018-19 Geneseo D1 — SR 25 3 8 11 0.440
2018-19 SUNY Geneseo D3 SUNYAC SR 25 3 8 11 0.440
2017-18 SUNY Geneseo D3 SUNYAC JR 19 2 3 5 0.263
2016-17 SUNY Geneseo D3 SUNYAC SO 3 0 0 0 0.000
2015-16 SUNY Geneseo D3 SUNYAC FR 7 0 4 4 0.571
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.57
2015-16 · SUNY Geneseo
+172.1% vs. projection

NCAAe Rankings

#21715
Forward overall
#843
Forward born in 1994
#533
in AJHL

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG

D2/3 Comparables

Logan Gallagher
King's · 2022-23
0.625 Average
actual D2/3 PPG
Shayne Morrissey
Neumann · 2012-13
0.885 Strong
actual D2/3 PPG
Andrew Francone
Lake Forest · 2000-01
0.583 Average
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.