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Brian Essing Elite Prospects ↗

Position: Forward DOB: 2003-02-10 Country: USA
No commitment set

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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
2021-22 Norwich Sea Captains NA3HL 23 9 12 21 0.913 0.1010 0.1025 0.2892 0.2936
2022-23 Norwich Sea Captains NA3HL 47 17 22 39 0.830 0.0918 0.0890 0.2629 0.2550
2023-24 Norwich Sea Captains NA3HL 44 24 13 37 0.841 0.0930 0.0857 0.2664 0.2456
■ 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 Manhattanville D3 UCHC SO 9 1 0 1 0.111
2024-25 Manhattanville D3 UCHC — 12 0 3 3 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.25
2024-25 · Manhattanville
+235.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D2/D3
2%
Club / ACHA
2%
Other

NCAAe Rankings

#28661
Forward overall
#1649
Forward born in 2003
#978
in NA3HL

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Cole Sanderson
Babson · 2017-18
0.300 Developing
actual D2/3 PPG
Kevin Conley
Nichols · 2017-18
0.000 No data
actual D2/3 PPG
Joseph Giordano
Connecticut College · 2012-13
0.333 Developing
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.