| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Tri-City Storm | USHL | 43 | 14 | 25 | 39 | 0.907 | 0.5575 | 0.5708 | 2.6722 | 2.7358 |
| 2016-17 | — | USHL | 55 | 22 | 34 | 56 | 1.018 | 0.6259 | 0.6089 | 2.9998 | 2.9181 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Penn State | D1 | BigTen | SR | 22 | 10 | 12 | 22 | 1.000 |
| 2019-20 | Penn State | D1 | BigTen | JR | 30 | 11 | 21 | 32 | 1.067 |
| 2018-19 | Penn State | D1 | BigTen | SO | 39 | 23 | 27 | 50 | 1.282 |
| 2017-18 | Penn State | D1 | BigTen | FR | 37 | 7 | 14 | 21 | 0.568 |
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.