| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | North Bay Trappers | NOJHL | 19 | 1 | 3 | 4 | 0.210 | 0.0352 | 0.0364 | 0.0876 | 0.0907 |
| 2013-14 | New Jersey Jr. Titans | EHL | 5 | 0 | 1 | 1 | 0.200 | 0.0462 | 0.0462 | 0.0979 | 0.0980 |
| 2014-15 | Swan Valley Stampeders | MJHL | 6 | 1 | 0 | 1 | 0.167 | 0.0321 | 0.0302 | 0.1051 | 0.0988 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Western New England | D3 | CNE | — | 12 | 1 | 1 | 2 | 0.167 |
| 2015-16 | Western New England | D3 | CNE | — | 17 | 1 | 2 | 3 | 0.176 |
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.