| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | NMH | NE-Prep | 24 | 6 | 20 | 26 | 1.083 | 0.3056 | 0.3056 | 0.4957 | 0.4957 |
| 2023-24 | Cranbrook Bucks | BCHL | 51 | 9 | 14 | 23 | 0.451 | 0.1680 | 0.1661 | 0.6572 | 0.6497 |
| 2024-25 | Cranbrook Bucks | BCHL | 54 | 15 | 48 | 63 | 1.167 | 0.4346 | 0.4078 | 1.7000 | 1.5951 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Lindenwood | D1 | CCHA | FR | 28 | 14 | 11 | 25 | 0.893 |
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.