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Maxim Andreev Elite Prospects ↗

Position: Forward DOB: 1998-10-22 Country: Russia
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
2015-16 New York Bobcats EHL 29 3 19 22 0.759 0.1752 0.1969 0.3712 0.4171
2016-17 New Jersey Jr. Titans NAHL 55 12 31 43 0.782 0.2872 0.3040 0.8252 0.8736
2017-18 Central Illinois Flying Aces USHL 56 12 31 43 0.768 0.4530 0.4431 2.3063 2.2557
■ 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
2022-23 Cornell D1 ECAC — 31 6 16 22 0.710
2021-22 Cornell D1 ECAC — 22 9 14 23 1.046
2020-21 Cornell D1 ECAC — 0 0 0 0 0.000
2019-20 Cornell D1 ECAC — 24 5 15 20 0.833
2018-19 Cornell D1 ECAC — 22 2 8 10 0.455
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.33
before college
→
Actual FR PPG
0.45
2018-19 · Cornell
+37.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

82%
NCAA D1
0%
NCAA D2/D3
18%
Pro / Other

NCAAe Rankings

#10596
Forward overall
#475
Forward born in 1998

D1 Comparables

Trevor Olson
USHL · 2012-13 · 0.79 PPG
→ North Dakota (0.16 D1 FR PPG)
0.46 Developing
NCAAe PPG
Robbie Baillargeon
USHL · 2012-13 · 0.75 PPG
→ Boston University (0.77 D1 FR PPG)
0.43 Strong
NCAAe PPG
Joe Gambardella
USHL · 2012-13 · 0.75 PPG
→ UMass Lowell (0.24 D1 FR PPG)
0.43 Developing
NCAAe PPG
Logan Nelson
WHL · 2012-13 · 0.88 PPG
→ Wisconsin-Stout (0.59 D1 FR PPG)
0.41 Strong
NCAAe PPG
Villiam Haag
USHL · 2012-13 · 0.64 PPG
→ Michigan State (0.37 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Tyler Barrow
Wilkes · 2016-17
1.385 Elite
actual D2/3 PPG
Jared Goudreau
Southern New Hampshire · 2014-15
0.833 Strong
actual D2/3 PPG
Brandon Osmundson
Utica · 2017-18
1.448 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.