| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Salmon Arm Silverbacks | BCHL | 17 | 3 | 2 | 5 | 0.294 | 0.1096 | 0.1096 | 0.4285 | 0.4285 |
| 2021-22 | Ottawa Jr. Senators | CCHL | 52 | 31 | 45 | 76 | 1.462 | 0.4667 | 0.4640 | 1.1313 | 1.1247 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | RIT | D1 | AHA | SR | 33 | 4 | 4 | 8 | 0.242 |
| 2024-25 | RIT | D1 | AHA | JR | 34 | 4 | 2 | 6 | 0.176 |
| 2023-24 | RIT | D1 | AHA | SO | 37 | 5 | 5 | 10 | 0.270 |
| 2022-23 | RIT | D1 | AHA | FR | 22 | 1 | 1 | 2 | 0.091 |
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.