| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Dubuque Fighting Saints | USHL | 54 | 4 | 10 | 14 | 0.259 | 0.1651 | 0.1821 | 0.7770 | 0.8570 |
| 2012-13 | Dubuque Fighting Saints | USHL | 52 | 3 | 20 | 23 | 0.442 | 0.2817 | 0.2957 | 1.3254 | 1.3913 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Michigan | D1 | BigTen | JR | 35 | 3 | 17 | 20 | 0.571 |
| 2014-15 | Michigan | D1 | BigTen | SO | 36 | 6 | 16 | 22 | 0.611 |
| 2013-14 | Michigan | D1 | BigTen | FR | 34 | 2 | 10 | 12 | 0.353 |
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.