| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Des Moines Buccaneers | USHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2015-16 | Cobourg Cougars | OJHL | 33 | 6 | 3 | 9 | 0.273 | 0.0762 | 0.0771 | 0.1882 | 0.1904 |
| 2016-17 | Burlington Cougars | OJHL | 53 | 8 | 12 | 20 | 0.377 | 0.1054 | 0.1019 | 0.2604 | 0.2518 |
| 2017-18 | — | OJHL | 43 | 9 | 18 | 27 | 0.628 | 0.1754 | 0.1612 | 0.4333 | 0.3981 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Fredonia | D3 | — | SO | 17 | 0 | 1 | 1 | 0.059 |
| 2018-19 | Fredonia | D3 | — | FR | 8 | 0 | 0 | 0 | 0.000 |
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.