| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Burlington Cougars | OJHL | 5 | 0 | 1 | 1 | 0.200 | 0.0490 | 0.0549 | 0.1377 | 0.1543 |
| 2014-15 | Starbulls Rosenheim U19 | DNL | 17 | 13 | 7 | 20 | 1.177 | 0.1815 | 0.1817 | 0.7548 | 0.7555 |
| 2015-16 | — | QMJHL | 51 | 10 | 11 | 21 | 0.412 | 0.2023 | 0.2042 | 1.0993 | 1.1099 |
| 2016-17 | — | QMJHL | 66 | 22 | 22 | 44 | 0.667 | 0.3275 | 0.3153 | 1.7798 | 1.7136 |
| 2017-18 | Windsor Spitfires | OHL | 59 | 20 | 28 | 48 | 0.814 | 0.4707 | 0.4249 | 2.1303 | 1.9232 |
| 2018-19 | Carleton Univ. | USports-M | 27 | 17 | 18 | 35 | 1.296 | 0.6839 | 0.7379 | 3.7985 | 4.0985 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Michigan State | D1 | BigTen | SR | 10 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Michigan State | D1 | BigTen | JR | 5 | 0 | 0 | 0 | 0.000 |
| 2018-19 | Michigan State | D1 | BigTen | SO | 12 | 0 | 1 | 1 | 0.083 |
| 2017-18 | Michigan State | D1 | BigTen | FR | 31 | 2 | 3 | 5 | 0.161 |
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.