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Alfred Lindberg Elite Prospects ↗

Position: Forward DOB: 2002-01-28 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
2019-20 Örebro HK U20 SuperElit 6 0 0 0 0.000 — — — —
2020-21 Karlskrona HK U20 SuperElit 15 3 1 4 0.267 0.1052 0.1052 0.3674 0.3674
2021-22 Karlskrona HK U20 SuperElit 26 12 18 30 1.154 0.4553 0.4236 1.5896 1.4788
2022-23 New Mexico Ice Wolves NAHL 38 13 20 33 0.868 0.3191 0.2971 0.9178 0.8544
■ 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
2026-27 RPI D1 ECAC SR 0 0 0 0 0.000
2025-26 RPI D1 ECAC — 32 2 8 10 0.312
2024-25 American International D1 AHA — 33 7 4 11 0.333
2023-24 American International D1 AHA — 20 11 11 22 1.100
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
1.10
2023-24 · American International
+269.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
2%
NCAA D2/D3
38%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#6867
Forward overall
#326
Forward born in 2002

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG

D2/3 Comparables

Henry McKinney
Nazareth · 2018-19
0.536 Average
actual D2/3 PPG
Colin MacCormack
Bowdoin · 2005-06
0.840 Strong
actual D2/3 PPG
Mitchell Parsons
SUNY Brockport · 2017-18
0.577 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.