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Danny Dzhaniyev Elite Prospects ↗

Position: Forward DOB: 2002-09-15 Country: USA
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
2018-19 U.S. National U17 Team NTDP-U18 54 8 3 11 0.204 0.1620 0.1689 0.7629 0.7955
2019-20 — NTDP-U18 44 5 9 14 0.318 0.2531 0.2531 1.1917 1.1917
2020-21 Dubuque Fighting Saints USHL 49 18 18 36 0.735 0.4679 0.4679 2.2017 2.2017
■ 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
2024-25 Penn State D1 BigTen SR 40 12 19 31 0.775
2023-24 Penn State D1 BigTen JR 33 9 20 29 0.879
2022-23 Penn State D1 BigTen SO 37 7 8 15 0.405
2021-22 Penn State D1 BigTen FR 36 6 12 18 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.50
2021-22 · Penn State
+245.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
0%
NCAA D2/D3
80%
Pro / Other

NCAAe Rankings

#6781
Forward overall
#191
Forward born in 2002

D1 Comparables

Nolan Stevens
USHL · 2012-13 · 0.24 PPG
→ Northeastern (0.33 D1 FR PPG)
0.17 Developing
NCAAe PPG
Dylan Larkin
USHL · 2012-13 · 0.38 PPG
→ Michigan (1.34 D1 FR PPG)
0.27 Elite
NCAAe PPG
Anders Bjork
USHL · 2012-13 · 0.39 PPG
→ Notre Dame (0.54 D1 FR PPG)
0.28 Average
NCAAe PPG
Shane Gersich
USHL · 2012-13 · 0.17 PPG
→ North Dakota (0.30 D1 FR PPG)
0.12 Developing
NCAAe PPG
Chris Wilkie
USHL · 2012-13 · 0.37 PPG
→ North Dakota (0.28 D1 FR PPG)
0.26 Developing
NCAAe PPG

D2/3 Comparables

Tyler Schremp
Elmira · 2000-01
0.818 Strong
actual D2/3 PPG
Johnny Hurd
Tufts · 2017-18
1.087 Elite
actual D2/3 PPG
Brett Ouderkirk
Norwich · 2014-15
0.966 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.