| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | St. Louis Jr. Blues | NA3HL | 46 | 19 | 41 | 60 | 1.304 | 0.1637 | 0.1595 | 0.4118 | 0.4012 |
| 2017-18 | Boston Jr. Rangers | EHL | 49 | 17 | 41 | 58 | 1.184 | 0.2734 | 0.2589 | 0.5792 | 0.5486 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Suffolk | D3 | CNE | — | 9 | 1 | 3 | 4 | 0.444 |
| 2020-21 | Suffolk | D1 | CNE | JR | 1 | 0 | 0 | 0 | 0.000 |
| 2020-21 | Suffolk | D3 | CNE | — | 1 | 0 | 0 | 0 | 0.000 |
| 2019-20 | SUNY Plattsburgh | D3 | SUNYAC | — | 5 | 0 | 0 | 0 | 0.000 |
| 2018-19 | SUNY Plattsburgh | D3 | SUNYAC | — | 23 | 1 | 4 | 5 | 0.217 |
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.