| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | U.S. National U17 Team | NTDP-U18 | 6 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2013-14 | Chicago Steel | USHL | 43 | 1 | 18 | 19 | 0.442 | 0.2607 | 0.2590 | 1.3272 | 1.3188 |
| 2014-15 | Chicago Steel | USHL | 57 | 18 | 14 | 32 | 0.561 | 0.3312 | 0.3128 | 1.6861 | 1.5925 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Ohio State | D1 | BigTen | SR | 36 | 7 | 4 | 11 | 0.306 |
| 2017-18 | Ohio State | D1 | BigTen | JR | 41 | 5 | 13 | 18 | 0.439 |
| 2016-17 | Ohio State | D1 | BigTen | SO | 33 | 3 | 7 | 10 | 0.303 |
| 2015-16 | Ohio State | D1 | BigTen | FR | 27 | 4 | 5 | 9 | 0.333 |
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.