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Tyler Gratton Elite Prospects ↗

Position: Forward DOB: 1999-08-06 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
2015-16 — USHL 6 0 1 1 0.167 0.0983 0.1099 0.5007 0.5599
2016-17 Chicago Steel USHL 50 10 12 22 0.440 0.2596 0.2770 1.3215 1.4102
2017-18 Chicago Steel USHL 51 4 12 16 0.314 0.1851 0.1883 0.9422 0.9587
2018-19 — USHL 58 17 11 28 0.483 0.2848 0.2751 1.4500 1.4005
■ 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
2023-24 Arizona State D1 NCHC — 36 12 6 18 0.500
2022-23 Penn State D1 BigTen SR 38 7 8 15 0.395
2021-22 Penn State D1 BigTen JR 37 9 3 12 0.324
2020-21 Penn State D1 BigTen SO 17 1 0 1 0.059
2019-20 Penn State D1 BigTen FR 31 3 3 6 0.194
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.19
2019-20 · Penn State
-6.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

55%
NCAA D1
5%
NCAA D2/D3
20%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#20550
Forward overall
#1011
Forward born in 1999
#1997
in USHL

D1 Comparables

Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.25 Developing
NCAAe PPG
C.J. Reuschlein
NAHL · 2012-13 · 0.80 PPG
→ Army (0.67 D1 FR PPG)
0.29 Strong
NCAAe PPG
Max McHugh
NAHL · 2012-13 · 0.88 PPG
→ Alabama-Huntsville (0.61 D1 FR PPG)
0.32 Strong
NCAAe PPG
Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.32 Average
NCAAe PPG
Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.28 Developing
NCAAe PPG

D2/3 Comparables

Jack Billings
Salve Regina · 2014-15
1.381 Elite
actual D2/3 PPG
Michael Hill
Saint Mary's (MN) · 2009-10
1.200 Elite
actual D2/3 PPG
Brady Lindauer
Saint Mary's (MN) · 2018-19
0.476 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.