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Nicolas Haviar Elite Prospects ↗

Position: Forward DOB: 2002-12-07 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
2020-21 New Mexico Ice Wolves NAHL 30 1 1 2 0.067 0.0245 0.0245 0.0704 0.0704
2021-22 New Mexico Ice Wolves NAHL 47 14 11 25 0.532 0.1954 0.1999 0.5614 0.5743
2022-23 — NAHL 52 4 4 8 0.154 0.0565 0.0550 0.1623 0.1580
■ 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 Hamline D3 MIAC JR 15 4 5 9 0.600
2024-25 Hamline D3 MIAC — 14 4 5 9 0.643
2023-24 Utica D3 UCHC — 10 3 2 5 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.50
2023-24 · Utica
+417.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
28%
NCAA D2/D3
45%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#46349
Forward overall
#2950
Forward born in 2002
#5236
in NAHL

D1 Comparables

Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
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

William McGoughran
Framingham State · 2016-17
0.000 No data
actual D2/3 PPG
Joseph Kaszupski
Endicott · 2014-15
0.409 Average
actual D2/3 PPG
Jory Veenstra
Southern New Hampshire · 2024-25
0.400 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.