| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Muskegon Lumberjacks | USHL | 11 | 1 | 7 | 8 | 0.727 | 0.4631 | 0.4937 | 2.1795 | 2.3234 |
| 2013-14 | — | USHL | 56 | 13 | 37 | 50 | 0.893 | 0.5686 | 0.5795 | 2.6758 | 2.7273 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Notre Dame | D1 | — | JR | 21 | 4 | 12 | 16 | 0.762 |
| 2015-16 | Notre Dame | D1 | — | SO | 36 | 6 | 12 | 18 | 0.500 |
| 2014-15 | Notre Dame | D1 | — | FR | 41 | 4 | 10 | 14 | 0.342 |
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.