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Cody Guidorzi Elite Prospects ↗

Position: Forward DOB: 1995-04-05 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
2012-13 St. Louis Jr. Blues NA3HL 44 24 30 54 1.227 0.2823 0.2992 — —
2014-15 Rochester Jr. Americans USPHL-Premier-Classic 44 13 20 33 0.750 0.2105 0.2104 0.6177 0.6175
■ 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 Lake Forest D1 — SR 28 8 8 16 0.571
2018-19 Lake Forest D3 NCHA SR 28 8 8 16 0.571
2017-18 Lake Forest D3 NCHA JR 26 8 12 20 0.769
2016-17 Lake Forest D3 NCHA SO 25 5 13 18 0.720
2015-16 Lake Forest D3 NCHA FR 17 3 2 5 0.294
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.29
2015-16 · Lake Forest
+39.7% vs. projection

NCAAe Rankings

#22421
Forward overall
#851
Forward born in 1995

D1 Comparables

Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.23 Developing
NCAAe PPG
Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.22 Developing
NCAAe PPG
Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.16 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG

D2/3 Comparables

Brett Everson
Utica · 2015-16
0.895 Strong
actual D2/3 PPG
Kelby Lorenz
Southern Maine · 2011-12
0.750 Strong
actual D2/3 PPG
Steven Sleep
St. Norbert · 2003-04
0.516 Average
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.