| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | — | OHL | 35 | 1 | 4 | 5 | 0.143 | 0.0827 | 0.0858 | 0.3672 | 0.3812 |
| 2012-13 | Peterborough Petes | OHL | 57 | 4 | 9 | 13 | 0.228 | 0.1320 | 0.1304 | 0.5861 | 0.5790 |
| 2013-14 | Peterborough Petes | OHL | 35 | 3 | 5 | 8 | 0.229 | 0.1322 | 0.1238 | 0.5874 | 0.5502 |
| 2014-15 | Tri-City Storm | USHL | 16 | 1 | 1 | 2 | 0.125 | 0.0737 | 0.0657 | 0.3754 | 0.3349 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Salve Regina | D3 | CNE | FR | 25 | 3 | 6 | 9 | 0.360 |
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.