| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Buffalo Jr. Sabres | OJHL | 43 | 1 | 3 | 4 | 0.093 | 0.0228 | 0.0228 | 0.0637 | 0.0637 |
| 2020-21 | Seacoast Spartans | EHL | 33 | 1 | 4 | 5 | 0.151 | 0.0222 | 0.0222 | 0.0743 | 0.0743 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | SUNY Cortland | D3 | SUNYAC | GR | 26 | 0 | 9 | 9 | 0.346 |
| 2024-25 | SUNY Cortland | D3 | SUNYAC | SR | 24 | 1 | 5 | 6 | 0.250 |
| 2023-24 | SUNY Cortland | D3 | SUNYAC | JR | 27 | 1 | 3 | 4 | 0.148 |
| 2021-22 | SUNY Cortland | D3 | SUNYAC | FR | 20 | 1 | 3 | 4 | 0.200 |
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.