| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | — | SJHL | 41 | 4 | 6 | 10 | 0.244 | 0.0743 | 0.0772 | 0.1808 | 0.1878 |
| 2017-18 | Kindersley Klippers | SJHL | 22 | 6 | 10 | 16 | 0.727 | 0.2215 | 0.2199 | 0.5390 | 0.5350 |
| 2018-19 | Kindersley Klippers | SJHL | 47 | 13 | 21 | 34 | 0.723 | 0.2203 | 0.2073 | 0.5361 | 0.5045 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Manhattanville | D3 | UCHC | SR | 25 | 5 | 9 | 14 | 0.560 |
| 2021-22 | Manhattanville | D3 | UCHC | JR | 26 | 7 | 8 | 15 | 0.577 |
| 2020-21 | Manhattanville | D1 | — | SO | 4 | 0 | 1 | 1 | 0.250 |
| 2020-21 | Manhattanville | D3 | UCHC | SO | 4 | 0 | 1 | 1 | 0.250 |
| 2019-20 | Manhattanville | D1 | — | FR | 25 | 4 | 4 | 8 | 0.320 |
| 2019-20 | Manhattanville | D3 | UCHC | FR | 25 | 4 | 4 | 8 | 0.320 |
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.