| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Drayton Valley Thunder | AJHL | 53 | 7 | 13 | 20 | 0.377 | 0.1266 | 0.1393 | 0.3492 | 0.3843 |
| 2022-23 | Drayton Valley Thunder | AJHL | 44 | 11 | 23 | 34 | 0.773 | 0.2592 | 0.2724 | 0.7151 | 0.7515 |
| 2023-24 | Okotoks Oilers | AJHL | 40 | 19 | 27 | 46 | 1.150 | 0.3857 | 0.3871 | 1.0642 | 1.0682 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Dartmouth | D1 | ECAC | SO | 35 | 8 | 8 | 16 | 0.457 |
| 2024-25 | Dartmouth | D1 | ECAC | — | 29 | 0 | 5 | 5 | 0.172 |
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.