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Nick Monfils Elite Prospects ↗

Position: Forward DOB: 1994-12-06 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
2012-13 Corpus Christi IceRays NAHL 15 2 5 7 0.467 0.1658 0.1767 0.4900 0.5223
2013-14 Corpus Christi IceRays NAHL 46 7 7 14 0.304 0.1081 0.1098 — —
2014-15 Minot Minotauros NAHL 56 15 16 31 0.554 0.1966 0.1894 0.5812 0.5599
■ 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 Marian D1 — SR 28 7 10 17 0.607
2018-19 Marian D3 NCHA SR 28 7 10 17 0.607
2017-18 Marian D3 NCHA JR 28 5 18 23 0.821
2016-17 Marian D3 NCHA SO 26 7 9 16 0.615
2015-16 Marian D3 NCHA FR 22 3 3 6 0.273
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.27
2015-16 · Marian
+102.1% vs. projection

NCAAe Rankings

#31286
Forward overall
#1189
Forward born in 1994
#2856
in NAHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG

D2/3 Comparables

Joe Costello
Wisconsin-Stout · 2015-16
0.000 No data
actual D2/3 PPG
Matt Dillon
Salve Regina · 2017-18
0.808 Strong
actual D2/3 PPG
Payton Kender
Rivier · 2024-25
0.840 Strong
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.