| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Waterloo Black Hawks | USHL | 51 | 6 | 5 | 11 | 0.216 | 0.1326 | 0.1382 | 0.6355 | 0.6625 |
| 2013-14 | Waterloo Black Hawks | USHL | 56 | 9 | 14 | 23 | 0.411 | 0.2525 | 0.2514 | 1.2100 | 1.2048 |
| 2014-15 | Waterloo Black Hawks | USHL | 60 | 13 | 13 | 26 | 0.433 | 0.2663 | 0.2521 | 1.2766 | 1.2084 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Ohio State | D1 | BigTen | SR | 36 | 9 | 8 | 17 | 0.472 |
| 2017-18 | Ohio State | D1 | BigTen | JR | 41 | 8 | 11 | 19 | 0.463 |
| 2016-17 | Ohio State | D1 | BigTen | SO | 39 | 10 | 9 | 19 | 0.487 |
| 2015-16 | Ohio State | D1 | BigTen | FR | 32 | 11 | 7 | 18 | 0.562 |
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.