| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Muskegon Lumberjacks | USHL | 58 | 9 | 21 | 30 | 0.517 | 0.3051 | 0.3303 | 1.5534 | 1.6816 |
| 2014-15 | — | USHL | 52 | 22 | 36 | 58 | 1.115 | 0.6580 | 0.6799 | 3.3500 | 3.4616 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Michigan | D1 | BigTen | JR | 40 | 16 | 35 | 51 | 1.275 |
| 2016-17 | Michigan | D1 | BigTen | SO | 18 | 5 | 10 | 15 | 0.833 |
| 2015-16 | Michigan | D1 | BigTen | FR | 32 | 10 | 14 | 24 | 0.750 |
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.