| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Buffalo Jr. Sabres | OJHL | 44 | 18 | 18 | 36 | 0.818 | 0.2286 | 0.2286 | 0.5646 | 0.5646 |
| 2021-22 | Corpus Christi IceRays | NAHL | 54 | 12 | 10 | 22 | 0.407 | 0.1513 | 0.1455 | 0.4314 | 0.4148 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | SUNY Cortland | D3 | SUNYAC | SR | 27 | 4 | 15 | 19 | 0.704 |
| 2024-25 | SUNY Cortland | D3 | SUNYAC | JR | 25 | 10 | 16 | 26 | 1.040 |
| 2023-24 | SUNY Cortland | D3 | SUNYAC | SO | 29 | 13 | 19 | 32 | 1.103 |
| 2022-23 | SUNY Cortland | D3 | SUNYAC | FR | 23 | 7 | 15 | 22 | 0.957 |
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.