| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Youngstown Phantoms | USHL | 63 | 3 | 12 | 15 | 0.238 | 0.1405 | 0.1550 | 0.7151 | 0.7888 |
| 2013-14 | Youngstown Phantoms | USHL | 60 | 27 | 31 | 58 | 0.967 | 0.5703 | 0.6024 | 2.9034 | 3.0670 |
| 2015-16 | London Knights | OHL | 66 | 30 | 36 | 66 | 1.000 | 0.5785 | 0.5511 | 2.5695 | 2.4478 |
| 2016-17 | London Knights | OHL | 66 | 26 | 46 | 72 | 1.091 | 0.6311 | 0.5684 | 2.8031 | 2.5246 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Boston University | D1 | HockeyEast | — | 25 | 1 | 3 | 4 | 0.160 |
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.