| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Greater Sudbury Cubs | NOJHL | 3 | 0 | 2 | 2 | 0.667 | 0.1113 | 0.1113 | 0.2775 | 0.2775 |
| 2021-22 | Greater Sudbury Cubs | NOJHL | 46 | 21 | 16 | 37 | 0.804 | 0.1343 | 0.1433 | 0.3348 | 0.3572 |
| 2022-23 | Greater Sudbury Cubs | NOJHL | 57 | 44 | 26 | 70 | 1.228 | 0.2051 | 0.2100 | 0.5113 | 0.5235 |
| 2023-24 | Corpus Christi IceRays | NAHL | 55 | 20 | 21 | 41 | 0.746 | 0.2739 | 0.2742 | 0.7869 | 0.7877 |
| 2024-25 | Corpus Christi IceRays | NAHL | 57 | 24 | 29 | 53 | 0.930 | 0.3416 | 0.3240 | 0.9814 | 0.9309 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Lake Superior State | D1 | CCHA | FR | 3 | 0 | 1 | 1 | 0.333 |
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.