IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Eric Berglund Elite Prospects ↗

Position: Forward DOB: 1994-03-06 Country: Sweden
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 New Hampshire Jr. Monarchs EHL 44 17 32 49 1.114 0.2572 0.2528 0.5449 0.5356
2014-15 Islanders Hockey Club USPHL-Premier-Classic 36 10 21 31 0.861 0.2417 0.2286 0.7080 0.6695
■ 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 Manhattanville D1 UCHC SR 30 9 11 20 0.667
2018-19 Manhattanville D3 UCHC SR 30 9 11 20 0.667
2017-18 Manhattanville D3 UCHC JR 20 4 7 11 0.550
2016-17 Manhattanville D3 UCHC SO 25 7 10 17 0.680
2015-16 Manhattanville D3 UCHC FR 23 4 12 16 0.696
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.70
2015-16 · Manhattanville
+241.0% vs. projection

NCAAe Rankings

#15880
Forward overall
#648
Forward born in 1994

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG

D2/3 Comparables

Alex Sanchez
Aurora · 2015-16
0.000 No data
actual D2/3 PPG
George Splichal
Bethel · 2014-15
0.680 Strong
actual D2/3 PPG
Mike Glaesmer
Saint Mary's (MN) · 2006-07
1.040 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.