| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Kirkland Lake Gold Miners | NOJHL | 49 | 14 | 25 | 39 | 0.796 | 0.1329 | 0.1375 | 0.3313 | 0.3427 |
| 2019-20 | Pembroke Lumber Kings | CCHL | 29 | 0 | 3 | 3 | 0.103 | 0.0224 | 0.0224 | 0.0800 | 0.0800 |
| 2020-21 | Blind River Beavers | NOJHL | 11 | 1 | 2 | 3 | 0.273 | 0.0455 | 0.0455 | 0.1135 | 0.1135 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Concordia | D3 | MIAC | — | 0 | 0 | 0 | 0 | 0.000 |
| 2021-22 | Concordia | D3 | MIAC | — | 25 | 4 | 7 | 11 | 0.440 |
| 2021-22 | Concordia (WI) | D3 | NCHA | FR | 25 | 4 | 7 | 11 | 0.440 |
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.