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Gianni Mangone Elite Prospects ↗

Position: Defense DOB: 1993-09-09 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
2010-11 Okotoks Oilers AJHL 4 0 1 1 0.250 0.0838 0.0915 0.2314 0.2527
2011-12 Calgary Canucks AJHL 45 5 12 17 0.378 0.1267 0.1319 0.3496 0.3640
2012-13 Calgary Canucks AJHL 17 2 13 15 0.882 0.2960 0.2930 0.8166 0.8083
2013-14 — AJHL 48 16 21 37 0.771 0.2585 0.2425 0.7133 0.6691
■ 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
2017-18 Marian D3 NCHA — 28 9 8 17 0.607
2016-17 Marian D3 NCHA — 27 10 12 22 0.815
2015-16 Marian D3 NCHA — 26 12 14 26 1.000
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
1.00
2015-16 · Marian
+303.2% vs. projection

NCAAe Rankings

#5047
Defenseman overall
#801
Defenseman born in 1993
#595
in AJHL

D1 Comparables

Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.24 Elite D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG

D2/3 Comparables

Zac Boyle
Neumann · 2016-17
0.389 Average
actual D2/3 PPG
Mark Mannarn
King's · 2018-19
0.000 No data
actual D2/3 PPG
Keenan Lund
Augsburg · 2018-19
0.739 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.