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Graham Day Elite Prospects ↗

Position: Forward DOB: 1996-07-17 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
2014-15 Metro Jets NA3HL 37 5 13 18 0.486 0.0611 0.0633 0.1536 0.1592
2015-16 Metro Jets NA3HL 45 11 25 36 0.800 0.1004 0.0992 0.2526 0.2495
2016-17 Metro Jets NA3HL 47 22 38 60 1.277 0.1602 0.1501 0.4030 0.3776
■ 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 Johnson & Wales D3 CNE SR 0 0 0 0 0.000
2019-20 Johnson & Wales D3 CNE JR 24 3 7 10 0.417
2018-19 Johnson & Wales D3 CNE SO 22 2 2 4 0.182
2017-18 Johnson & Wales D3 CNE FR 24 6 9 15 0.625
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.62
2017-18 · Johnson & Wales
+462.6% vs. projection

NCAAe Rankings

#25802
Forward overall
#1060
Forward born in 1996
#746
in NA3HL

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Joel Gaulrapp
Wisconsin-Superior · 2005-06
0.500 Average
actual D2/3 PPG
Cody Mastay
Arcadia · 2021-22
0.333 Developing
actual D2/3 PPG
Alec Lovisek
Adrian · 2021-22
0.417 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.