| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Vermont Lumberjacks | EHLP | 39 | 7 | 12 | 19 | 0.487 | 0.0381 | 0.0413 | 0.1100 | 0.1192 |
| 2016-17 | Vermont Lumberjacks | EHLP | 39 | 27 | 45 | 72 | 1.846 | 0.1444 | 0.1471 | 0.4169 | 0.4246 |
| 2017-18 | Vermont Lumberjacks | EHL | 50 | 22 | 23 | 45 | 0.900 | 0.1931 | 0.1984 | 0.4407 | 0.4528 |
| 2018-19 | Vermont Lumberjacks | EHL | 45 | 18 | 23 | 41 | 0.911 | 0.1955 | 0.1911 | 0.4462 | 0.4361 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Alvernia | D3 | MAC | — | 21 | 2 | 3 | 5 | 0.238 |
| 2021-22 | SUNY Plattsburgh | D3 | SUNYAC | JR | 2 | 0 | 0 | 0 | 0.000 |
| 2019-20 | SUNY Plattsburgh | D3 | — | FR | 17 | 0 | 0 | 0 | 0.000 |
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.