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Brendan Payne Elite Prospects ↗

Position: Forward DOB: 1997-05-02 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
2015-16 St. Cloud Norsemen NAHL 31 1 3 4 0.129 0.0474 0.0493 0.1362 0.1416
2016-17 Alexandria Blizzard NA3HL 46 20 38 58 1.261 0.1582 0.1545 0.3981 0.3888
2017-18 Alexandria Blizzard NA3HL 44 33 39 72 1.636 0.2054 0.1902 0.5166 0.4783
■ 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
2019-20 Gustavus Adolphus D3 MIAC — 26 4 7 11 0.423
2018-19 Gustavus Adolphus D3 MIAC — 17 2 5 7 0.412
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.41
2018-19 · Gustavus Adolphus
+173.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#18563
Forward overall
#826
Forward born in 1997

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
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
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Matt Beer
SUNY Morrisville · 2010-11
0.458 Average
actual D2/3 PPG
Brett Mecrones
University of New England · 2016-17
0.480 Average
actual D2/3 PPG
Casper Dyrssen
Manhattanville · 2014-15
0.500 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.