| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Elliot Lake Vikings | NOJHL | 48 | 14 | 23 | 37 | 0.771 | 0.1300 | 0.1352 | 0.3203 | 0.3332 |
| 2016-17 | Newmarket Hurricanes | OJHL | 52 | 26 | 21 | 47 | 0.904 | 0.2525 | 0.2473 | 0.6237 | 0.6108 |
| 2017-18 | Newmarket Hurricanes | OJHL | 53 | 7 | 27 | 34 | 0.641 | 0.1792 | 0.1669 | 0.4427 | 0.4123 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Wisconsin-Superior | D3 | WIAC | SR | 24 | 6 | 12 | 18 | 0.750 |
| 2020-21 | Wisconsin-Superior | D3 | BigTen | JR | 10 | 3 | 7 | 10 | 1.000 |
| 2019-20 | Wisconsin-Superior | D3 | BigTen | SO | 29 | 6 | 9 | 15 | 0.517 |
| 2018-19 | Wisconsin-Superior | D3 | BigTen | FR | 27 | 6 | 11 | 17 | 0.630 |
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.