| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Vermont Lumberjacks | EHL | 39 | 8 | 19 | 27 | 0.692 | 0.1486 | 0.1497 | 0.3390 | 0.3415 |
| 2016-17 | Vermont Lumberjacks | EHL | 46 | 30 | 30 | 60 | 1.304 | 0.2799 | 0.2693 | 0.6387 | 0.6146 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Castleton | D3 | LittleEast | SR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Castleton | D3 | LittleEast | JR | 26 | 4 | 2 | 6 | 0.231 |
| 2018-19 | Castleton | D3 | LittleEast | SO | 21 | 4 | 1 | 5 | 0.238 |
| 2017-18 | Castleton | D3 | LittleEast | FR | 25 | 2 | 9 | 11 | 0.440 |
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.