| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Victoria Grizzlies | BCHL | 10 | 2 | 1 | 3 | 0.300 | 0.1156 | 0.1156 | 0.4371 | 0.4371 |
| 2021-22 | Des Moines Buccaneers | USHL | 29 | 1 | 3 | 4 | 0.138 | 0.0813 | 0.0765 | 0.4063 | 0.3823 |
| 2022-23 | Minot Minotauros | NAHL | 52 | 9 | 23 | 32 | 0.615 | 0.2186 | 0.2039 | 0.6461 | 0.6025 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Adrian | D3 | NCHA | — | 23 | 0 | 8 | 8 | 0.348 |
| 2024-25 | Bowling Green | D1 | CCHA | — | 4 | 0 | 0 | 0 | 0.000 |
| 2023-24 | Bowling Green | D1 | CCHA | — | 20 | 0 | 1 | 1 | 0.050 |
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.