| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Canterbury | NE-Prep | 27 | 2 | 5 | 7 | 0.259 | 0.0500 | 0.0500 | 0.1187 | 0.1187 |
| 2022-23 | — | NAHL | 43 | 5 | 3 | 8 | 0.186 | 0.0661 | 0.0651 | 0.1953 | 0.1923 |
| 2023-24 | Yorkton Terriers | SJHL | 28 | 1 | 4 | 5 | 0.179 | 0.0458 | 0.0426 | 0.1324 | 0.1230 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Norwich | D3 | LittleEast | — | 14 | 0 | 2 | 2 | 0.143 |
| 2024-25 | Norwich | D3 | LittleEast | — | 9 | 1 | 1 | 2 | 0.222 |
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.