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Shane Haviland Elite Prospects ↗

Position: Forward DOB: 1999-06-06 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
2017-18 Springfield Jr. Blues NAHL 44 6 3 9 0.204 0.0727 0.0756 0.2157 0.2244
2018-19 — NAHL 37 3 8 11 0.297 0.1056 0.1051 0.3136 0.3122
2019-20 New Jersey Jr. Titans NAHL 46 8 25 33 0.717 0.2549 0.2549 0.7567 0.7567
■ 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 Elmira D3 UCHC GR 22 2 14 16 0.727
2023-24 Elmira D3 UCHC SR 27 3 7 10 0.370
2022-23 Elmira D3 UCHC JR 7 0 0 0 0.000
2021-22 Elmira D3 UCHC SO 12 1 4 5 0.417
2020-21 Elmira D1 UCHC FR 3 2 2 4 1.333
2020-21 Elmira D3 UCHC FR 3 2 2 4 1.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
1.33
2020-21 · Elmira
+1568.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
10%
NCAA D2/D3
18%
Age-Out / Club
42%
Pro / Other

NCAAe Rankings

#30632
Forward overall
#1620
Forward born in 1999
#2732
in NAHL

D1 Comparables

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
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG

D2/3 Comparables

Mike Foy
SUNY Potsdam · 2006-07
0.750 Strong
actual D2/3 PPG
Andrew Mather
SUNY Oswego · 2006-07
0.308 Developing
actual D2/3 PPG
Corbin Chapman
Augsburg · 2012-13
0.611 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.