| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | — | USHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | — | USHL | 57 | 18 | 28 | 46 | 0.807 | 0.5139 | 0.5425 | 2.4183 | 2.5529 |
| 2015-16 | — | USHL | 52 | 24 | 39 | 63 | 1.212 | 0.7715 | 0.7786 | 3.6305 | 3.6638 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Ohio State | D1 | BigTen | SR | 36 | 11 | 23 | 34 | 0.944 |
| 2018-19 | Ohio State | D1 | BigTen | JR | 27 | 10 | 20 | 30 | 1.111 |
| 2017-18 | Ohio State | D1 | BigTen | SO | 41 | 17 | 30 | 47 | 1.146 |
| 2016-17 | Ohio State | D1 | BigTen | FR | 34 | 10 | 22 | 32 | 0.941 |
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.