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Gianluca Esteves Elite Prospects ↗

Position: Forward DOB: 1997-01-29 Country: Canada
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
2014-15 Winnipeg Blues MJHL 52 14 12 26 0.500 0.0963 0.1028 0.3153 0.3365
2015-16 Winnipeg Blues MJHL 56 12 27 39 0.696 0.1341 0.1361 0.4391 0.4455
2016-17 Philadelphia Rebels NAHL 60 17 28 45 0.750 0.2756 0.2680 0.7916 0.7696
■ 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
2020-21 Michigan State D1 BigTen SR 23 2 1 3 0.130
2019-20 Michigan State D1 BigTen JR 35 2 6 8 0.229
2018-19 Michigan State D1 BigTen SO 3 0 0 0 0.000
2017-18 Michigan State D1 BigTen FR 35 0 3 3 0.086
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.09
2017-18 · Michigan State
-53.5% vs. projection

NCAAe Rankings

#24237
Forward overall
#1095
Forward born in 1997

D1 Comparables

Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG

D2/3 Comparables

Tyler Rudek
Franklin Pierce · 2017-18
0.833 Strong
actual D2/3 PPG
Nathan Stachowiak
SUNY Geneseo · 2023-24
0.700 Strong
actual D2/3 PPG
Eric Berglund
Manhattanville · 2013-14
0.696 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.