| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Indiana Ice | USHL | 48 | 2 | 13 | 15 | 0.312 | 0.1990 | 0.2163 | 0.9365 | 1.0179 |
| 2013-14 | Indiana Ice | USHL | 56 | 5 | 18 | 23 | 0.411 | 0.2615 | 0.2720 | 1.2307 | 1.2802 |
| 2015-16 | Sarnia Sting | OHL | 67 | 4 | 20 | 24 | 0.358 | 0.2138 | 0.2002 | 0.9278 | 0.8689 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Michigan State | D1 | BigTen | FR | 35 | 0 | 9 | 9 | 0.257 |
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.