| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | — | USHL | 7 | 3 | 0 | 3 | 0.429 | 0.2635 | 0.2897 | 1.2627 | 1.3880 |
| 2013-14 | — | USHL | 55 | 17 | 21 | 38 | 0.691 | 0.4247 | 0.4470 | 2.0355 | 2.1424 |
| 2014-15 | — | USHL | 52 | 20 | 24 | 44 | 0.846 | 0.5202 | 0.5219 | 2.4931 | 2.5015 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Ohio State | D1 | BigTen | SR | 32 | 9 | 13 | 22 | 0.688 |
| 2017-18 | Ohio State | D1 | BigTen | JR | 34 | 15 | 11 | 26 | 0.765 |
| 2016-17 | Ohio State | D1 | BigTen | SO | 33 | 12 | 23 | 35 | 1.061 |
| 2015-16 | Ohio State | D1 | BigTen | FR | 29 | 5 | 12 | 17 | 0.586 |
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.