| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Elliot Lake Vikings | NOJHL | 52 | 27 | 43 | 70 | 1.346 | 0.2270 | 0.2227 | 0.5593 | 0.5488 |
| 2015-16 | Elliot Lake Vikings | NOJHL | 46 | 38 | 41 | 79 | 1.717 | 0.2896 | 0.2703 | 0.7136 | 0.6660 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Lebanon Valley | D3 | MAC | SR | 22 | 7 | 8 | 15 | 0.682 |
| 2018-19 | Lebanon Valley | D3 | MAC | JR | 23 | 8 | 17 | 25 | 1.087 |
| 2017-18 | Lebanon Valley | D3 | MAC | SO | 24 | 10 | 11 | 21 | 0.875 |
| 2016-17 | Lebanon Valley | D3 | MAC | FR | 25 | 16 | 16 | 32 | 1.280 |
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.