| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Surrey Eagles | BCHL | 53 | 1 | 11 | 12 | 0.226 | 0.0881 | 0.0875 | 0.3302 | 0.3279 |
| 2014-15 | Hawkesbury Hawks | CCHL | 59 | 5 | 22 | 27 | 0.458 | 0.1306 | 0.1223 | 0.3542 | 0.3316 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Amherst | D3 | NESCAC | SR | 26 | 6 | 14 | 20 | 0.769 |
| 2017-18 | Amherst | D3 | NESCAC | JR | 17 | 4 | 12 | 16 | 0.941 |
| 2016-17 | Amherst | D3 | NESCAC | SO | 23 | 3 | 7 | 10 | 0.435 |
| 2015-16 | Amherst | D3 | NESCAC | FR | 27 | 7 | 3 | 10 | 0.370 |
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.