| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | — | CCHL | 16 | 1 | 0 | 1 | 0.062 | 0.0178 | 0.0179 | 0.0484 | 0.0487 |
| 2014-15 | Navan Grads | CCHL | 59 | 5 | 17 | 22 | 0.373 | 0.1064 | 0.1022 | 0.2887 | 0.2773 |
| 2015-16 | Winkler Flyers | MJHL | 59 | 16 | 27 | 43 | 0.729 | 0.2062 | 0.1896 | 0.4592 | 0.4222 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Neumann | D3 | MAC | SR | 21 | 3 | 13 | 16 | 0.762 |
| 2018-19 | Neumann | D3 | MAC | JR | 23 | 9 | 6 | 15 | 0.652 |
| 2017-18 | Neumann | D3 | MAC | SO | 23 | 1 | 10 | 11 | 0.478 |
| 2016-17 | Neumann | D3 | MAC | FR | 26 | 2 | 5 | 7 | 0.269 |
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.