| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Carleton Place Canadians | CCHL | 55 | 4 | 9 | 13 | 0.236 | 0.0755 | 0.0817 | 0.1830 | 0.1981 |
| 2011-12 | — | OJHL | 42 | 1 | 7 | 8 | 0.191 | 0.0572 | 0.0592 | 0.1304 | 0.1350 |
| 2012-13 | Toronto Patriots | OJHL | 53 | 5 | 23 | 28 | 0.528 | 0.1587 | 0.1564 | 0.3616 | 0.3564 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Curry | D3 | CNE | SR | 24 | 1 | 4 | 5 | 0.208 |
| 2015-16 | Curry | D3 | CNE | JR | 25 | 1 | 7 | 8 | 0.320 |
| 2014-15 | Curry | D3 | CNE | SO | 13 | 0 | 4 | 4 | 0.308 |
| 2013-14 | Curry | D3 | CNE | FR | 21 | 1 | 3 | 4 | 0.191 |
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.