| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Kanata Stallions | CCHL | 58 | 4 | 23 | 27 | 0.466 | 0.1010 | 0.0976 | 0.3602 | 0.3480 |
| 2014-15 | Express Hockey Club | EHL | 34 | 8 | 15 | 23 | 0.676 | 0.1563 | 0.1478 | 0.3310 | 0.3129 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Saint Anselm | D2 | NE10 | SR | 26 | 4 | 3 | 7 | 0.269 |
| 2017-18 | Saint Anselm | D2 | NE10 | JR | 23 | 7 | 10 | 17 | 0.739 |
| 2016-17 | Saint Anselm | D2 | NE10 | SO | 24 | 8 | 10 | 18 | 0.750 |
| 2015-16 | Saint Anselm | D2 | NE10 | FR | 22 | 3 | 7 | 10 | 0.455 |
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.