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Eric Holland Elite Prospects ↗

Position: Forward DOB: 1998-06-13 Country: Canada
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
2014-15 Pickering Panthers OJHL 3 0 0 0 0.000 — — — —
2015-16 Oakville Blades OJHL 51 13 16 29 0.569 0.1708 0.1812 0.3892 0.4129
2016-17 Aurora Tigers OJHL 49 21 25 46 0.939 0.2820 0.2866 0.6426 0.6530
2017-18 Brockville Braves CCHL 62 24 25 49 0.790 0.2523 0.2452 0.6118 0.5946
■ 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
2021-22 Utica D3 UCHC SR 29 13 17 30 1.034
2020-21 Utica D1 — JR 1 0 0 0 0.000
2020-21 Utica D3 UCHC JR 1 0 0 0 0.000
2019-20 Utica D1 — SO 21 9 8 17 0.809
2019-20 Utica D3 UCHC SO 21 9 8 17 0.809
2018-19 Utica D1 — FR 21 3 8 11 0.524
2018-19 Utica D3 UCHC FR 21 3 8 11 0.524
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.52
2018-19 · Utica
+133.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
2%
NCAA D2/D3
60%
Pro / Other

NCAAe Rankings

#22029
Forward overall
#1059
Forward born in 1998

D1 Comparables

Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.23 Developing
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.20 Average
NCAAe PPG
Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.29 Developing
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.20 Developing
NCAAe PPG

D2/3 Comparables

Jake Nelson
St. Scholastica · 2003-04
0.800 Strong
actual D2/3 PPG
Austin Morgan
New England · 2016-17
0.714 Strong
actual D2/3 PPG
Greg Pezza
Connecticut College · 2015-16
0.300 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.