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Gustav Müller Elite Prospects ↗

Position: Forward DOB: 1999-04-23 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
2016-17 Timrå IK U20 SHL-J20 2 0 0 0 0.000 — — — —
2017-18 Timrå IK U20 SuperElit 45 11 11 22 0.489 0.1929 0.1915 0.6640 0.6593
2018-19 Leksands IF U20 SuperElit 43 15 9 24 0.558 0.2202 0.2079 0.7580 0.7157
2019-20 Madison Capitols USHL 49 6 4 10 0.204 0.1204 0.1204 0.6130 0.6130
■ 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
2023-24 Albertus Magnus D3 UCHC — 22 4 7 11 0.500
2021-22 Long Island Univ. D1 AHA — 26 2 3 5 0.192
2020-21 LIU D1 — FR 12 3 1 4 0.333
2020-21 Long Island Univ. D1 AHA FR 12 3 1 4 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.33
2020-21 · LIU
+93.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
8%
NCAA D2/D3
18%
Age-Out / Club
40%
Pro / Other

NCAAe Rankings

#27531
Forward overall
#1427
Forward born in 1999

D1 Comparables

Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.21 Developing
NCAAe PPG
Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.22 Developing
NCAAe PPG
Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.22 Developing
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG

D2/3 Comparables

Ryan Panet
Lake Forest · 2000-01
0.750 Strong
actual D2/3 PPG
Jack Silverman
Middlebury · 2023-24
0.760 Strong
actual D2/3 PPG
Tyler Bullard
Canton · 2014-15
0.957 Strong
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.