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Mario Bianchi Elite Prospects ↗

Position: Forward DOB: 1994-09-03 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
2013-14 Minnesota Magicians NAHL 42 10 9 19 0.452 0.1662 0.1667 0.4775 0.4789
2014-15 Janesville Jets NAHL 10 0 2 2 0.200 0.0735 0.0699 0.2111 0.2007
■ 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
2018-19 Concordia D3 MIAC SR 26 14 19 33 1.269
2018-19 Concordia (MN) D1 — SR 26 14 19 33 1.269
2017-18 Concordia D3 MIAC JR 19 7 15 22 1.158
2016-17 Concordia D3 MIAC SO 27 8 13 21 0.778
2015-16 Concordia D3 MIAC FR 26 11 4 15 0.577
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.58
2015-16 · Concordia
+520.3% vs. projection

NCAAe Rankings

#42207
Forward overall
#1692
Forward born in 1994
#4573
in NAHL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Victor Bergström
Plymouth State · 2015-16
0.471 Average
actual D2/3 PPG
Garrett Wood
Worcester State · 2015-16
0.000 No data
actual D2/3 PPG
Ondrej Zehnal
Marian · 2014-15
0.000 No data
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.