| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Brockville Braves | CCHL | 47 | 2 | 3 | 5 | 0.106 | 0.0304 | 0.0315 | 0.0824 | 0.0853 |
| 2016-17 | Cornwall Colts | CCHL | 46 | 11 | 9 | 20 | 0.435 | 0.1241 | 0.1219 | 0.3366 | 0.3306 |
| 2017-18 | Aberdeen Wings | NAHL | 30 | 3 | 2 | 5 | 0.167 | 0.0619 | 0.0588 | 0.1765 | 0.1677 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Canton | D3 | — | FR | 12 | 4 | 5 | 9 | 0.750 |
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.