| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Aurora Tigers | OJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2013-14 | Oakville Blades | OJHL | 52 | 11 | 9 | 20 | 0.385 | 0.0943 | 0.1056 | 0.2648 | 0.2965 |
| 2014-15 | Oakville Blades | OJHL | 39 | 8 | 9 | 17 | 0.436 | 0.1068 | 0.1141 | 0.3001 | 0.3206 |
| 2015-16 | St. Michael's Buzzers | OJHL | 52 | 22 | 21 | 43 | 0.827 | 0.2027 | 0.2053 | 0.5693 | 0.5767 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Penn State | D1 | BigTen | FR | 2 | 0 | 1 | 1 | 0.500 |
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.