| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | — | USHL | 62 | 17 | 24 | 41 | 0.661 | 0.4211 | 0.4749 | 1.9817 | 2.2349 |
| 2013-14 | — | USHL | 56 | 31 | 43 | 74 | 1.321 | 0.8415 | 0.9097 | 3.9598 | 4.2806 |
| 2014-15 | — | USHL | 56 | 34 | 46 | 80 | 1.429 | 0.9097 | 0.9386 | 4.2811 | 4.4173 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Michigan | D1 | BigTen | FR | 38 | 35 | 36 | 71 | 1.868 |
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.