| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Odessa Jackalopes | NAHL | 47 | 1 | 5 | 6 | 0.128 | 0.0506 | 0.0506 | 0.1341 | 0.1341 |
| 2021-22 | Odessa Jackalopes | NAHL | 57 | 1 | 18 | 19 | 0.333 | 0.1321 | 0.1340 | 0.3499 | 0.3550 |
| 2022-23 | Prince George Spruce Kings | BCHL | 53 | 6 | 15 | 21 | 0.396 | 0.1476 | 0.1393 | 0.5773 | 0.5449 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Stonehill | D1 | AHA | JR | 35 | 3 | 8 | 11 | 0.314 |
| 2024-25 | Stonehill | D1 | AHA | — | 31 | 2 | 8 | 10 | 0.323 |
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.