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Haralds Egle Elite Prospects ↗

Position: Forward DOB: 1996-05-11 Country: Latvia
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 Muskegon Lumberjacks USHL 38 4 3 7 0.184 0.1087 0.1143 0.5532 0.5819
2014-15 Madison Capitols USHL 54 18 25 43 0.796 0.4697 0.4710 2.3916 2.3983
2015-16 — USHL 52 7 31 38 0.731 0.4311 0.4123 2.1949 2.0991
■ 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 Clarkson D1 ECAC SR 32 14 18 32 1.000
2018-19 Clarkson D1 ECAC JR 39 19 21 40 1.026
2017-18 Clarkson D1 ECAC SO 30 5 11 16 0.533
2016-17 Clarkson D1 ECAC FR 34 6 11 17 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.37
before college
→
Actual FR PPG
0.50
2016-17 · Clarkson
+34.0% vs. projection

NCAAe Rankings

#9971
Forward overall
#415
Forward born in 1996
#838
in USHL

D1 Comparables

Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.41 Developing
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.41 Developing
NCAAe PPG
Jared Linnell
USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.40 Developing
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.43 Developing
NCAAe PPG
Jay Dickman
NAHL · 2012-13 · 1.00 PPG
→ Bemidji State
0.36 No data
NCAAe PPG

D2/3 Comparables

Patrick Stillar
SUNY Morrisville · 2010-11
1.154 Elite
actual D2/3 PPG
Christopher Miraldo
Westfield State · 2021-22
1.037 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2003-04
1.704 Elite
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.