| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Madison Capitols | USHL | 16 | 0 | 4 | 4 | 0.250 | 0.1475 | 0.1492 | 0.7509 | 0.7595 |
| 2016-17 | Sarnia Sting | OHL | 67 | 8 | 21 | 29 | 0.433 | 0.2504 | 0.2382 | 1.1121 | 1.0581 |
| 2017-18 | Sarnia Sting | OHL | 68 | 27 | 27 | 54 | 0.794 | 0.4594 | 0.4138 | 2.0404 | 1.8379 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Bowling Green | D1 | WCHA | FR | 15 | 0 | 2 | 2 | 0.133 |
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.