| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Waterloo Black Hawks | USHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2013-14 | Buffalo Jr. Sabres | OJHL | 25 | 3 | 2 | 5 | 0.200 | 0.0559 | 0.0569 | — | — |
| 2014-15 | Buffalo Jr. Sabres | OJHL | 39 | 3 | 10 | 13 | 0.333 | 0.0931 | 0.0899 | 0.2300 | 0.2221 |
| 2015-16 | Buffalo Jr. Sabres | OJHL | 50 | 4 | 14 | 18 | 0.360 | 0.1006 | 0.0916 | 0.2484 | 0.2262 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | SUNY Cortland | D3 | — | FR | 14 | 2 | 4 | 6 | 0.429 |
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.