| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Bay State Bobcats | NA3HL | 45 | 35 | 44 | 79 | 1.756 | 0.2203 | 0.2117 | 0.5542 | 0.5327 |
| 2018-19 | Bay State Bobcats | NA3HL | 45 | 39 | 75 | 114 | 2.533 | 0.3179 | 0.2888 | 0.7998 | 0.7266 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | SUNY Morrisville | D3 | SUNYAC | — | 7 | 2 | 1 | 3 | 0.429 |
| 2021-22 | SUNY Morrisville | D3 | SUNYAC | — | 24 | 6 | 2 | 8 | 0.333 |
| 2019-20 | SUNY Morrisville | D1 | SUNYAC | FR | 24 | 12 | 6 | 18 | 0.750 |
| 2019-20 | SUNY Morrisville | D3 | SUNYAC | — | 24 | 12 | 6 | 18 | 0.750 |
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.