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Van Sullivan Elite Prospects ↗

Position: Forward DOB: 1994-06-22 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
2013-14 Valley Jr. Warriors EHL 34 5 10 15 0.441 0.0947 0.0945 0.2161 0.2156
2014-15 Valley Jr. Warriors EHL 43 14 9 23 0.535 0.1148 0.1092 0.2619 0.2491
■ 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 Gustavus Adolphus D3 MIAC SR 25 2 3 5 0.200
2017-18 Gustavus Adolphus D3 MIAC JR 27 7 5 12 0.444
2016-17 Gustavus Adolphus D3 MIAC SO 24 2 5 7 0.292
2015-16 Gustavus Adolphus D3 MIAC FR 23 6 9 15 0.652
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.65
2015-16 · Gustavus Adolphus
+637.8% vs. projection

NCAAe Rankings

#36604
Forward overall
#1507
Forward born in 1994
#1052
in EHL

D1 Comparables

Bob Kinne
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Bradley Duwe
NAHL · 2012-13 · 0.65 PPG
→ Alaska Anchorage (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Kegan Couture
Gustavus Adolphus · 2015-16
0.154 Developing
actual D2/3 PPG
Brandon Gagné
Neumann · 2011-12
0.292 Developing
actual D2/3 PPG
Matt Goeree
Fredonia · 2017-18
0.000 No data
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.