| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Brockville Braves | CCHL | 43 | 11 | 15 | 26 | 0.605 | 0.1726 | 0.1687 | 0.4681 | 0.4574 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Bowdoin | D3 | NESCAC | SR | 23 | 9 | 3 | 12 | 0.522 |
| 2018-19 | Bowdoin | D3 | NESCAC | JR | 19 | 2 | 3 | 5 | 0.263 |
| 2017-18 | Bowdoin | D3 | NESCAC | SO | 22 | 6 | 3 | 9 | 0.409 |
| 2016-17 | Bowdoin | D3 | NESCAC | FR | 24 | 11 | 4 | 15 | 0.625 |
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.