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Cody Ganchar Elite Prospects ↗

Position: Forward DOB: 1991-02-25 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
2008-09 Mahoning Valley Phantoms NAHL 12 2 1 3 0.250 0.0919 0.0981 0.2639 0.2818
2009-10 St. Louis Bandits NAHL 49 5 6 11 0.225 0.0825 0.0848 0.2370 0.2435
2010-11 St. Louis Bandits NAHL 52 6 13 19 0.365 0.1342 0.1311 0.3857 0.3767
2011-12 St. Louis Bandits NAHL 60 23 17 40 0.667 0.2449 0.2271 0.7037 0.6525
■ 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
2015-16 Milwaukee School of Engineering D3 NCHA JR 23 3 7 10 0.435
2014-15 Milwaukee School of Engineering D3 NCHA JR 27 7 4 11 0.407
2013-14 Milwaukee School of Engineering D3 NCHA SO 2 0 1 1 0.500
2012-13 Milwaukee School of Engineering D3 NCHA FR 29 9 16 25 0.862
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.86
2012-13 · Milwaukee School of Engineering
+433.8% vs. projection

NCAAe Rankings

#30059
Forward overall
#1058
Forward born in 1991
#2710
in NAHL

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Andrew Francone
Lake Forest · 2000-01
0.583 Average
actual D2/3 PPG
Mark Menzies
St. Scholastica · 2004-05
0.769 Strong
actual D2/3 PPG
Kerfalla Touré
Elmira · 2021-22
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.