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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 0.1514 0.1579 0.7601 0.7926
2019-20 — NTDP-U18 44 5 9 14 0.318 0.2365 0.2365 1.1873 1.1873
2020-21 Dubuque Fighting Saints USHL 49 18 18 36 0.735 0.4334 0.4334 2.2066 2.2066
■ 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
+269.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
0%
NCAA D2/D3
72%
Pro / Other

NCAAe Rankings

#11935
Forward overall
#587
Forward born in 2002

D1 Comparables

Nolan Stevens
USHL · 2012-13 · 0.24 PPG
→ Northeastern (0.33 D1 FR PPG)
0.16 Developing
NCAAe PPG
Dylan Larkin
USHL · 2012-13 · 0.38 PPG
→ Michigan (1.34 D1 FR PPG)
0.25 Elite
NCAAe PPG
Anders Bjork
USHL · 2012-13 · 0.39 PPG
→ Notre Dame (0.54 D1 FR PPG)
0.26 Average
NCAAe PPG
Shane Gersich
USHL · 2012-13 · 0.17 PPG
→ North Dakota (0.30 D1 FR PPG)
0.11 Developing
NCAAe PPG
Dylan Gambrell
USHL · 2012-13 · 0.47 PPG
→ Denver (1.15 D1 FR PPG)
0.31 Elite
NCAAe PPG

D2/3 Comparables

Keenan Lund
Augsburg · 2014-15
0.739 Strong
actual D2/3 PPG
Aidan LaValley
Buffalo State · 2017-18
0.591 Average
actual D2/3 PPG
Declan House
Franklin Pierce · 2017-18
0.467 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.