| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Sioux Falls Stampede | USHL | 34 | 4 | 6 | 10 | 0.294 | 0.1808 | 0.1979 | 0.8665 | 0.9485 |
| 2013-14 | — | USHL | 47 | 4 | 5 | 9 | 0.192 | 0.1177 | 0.1233 | 0.5642 | 0.5912 |
| 2014-15 | Tri-City Storm | USHL | 60 | 11 | 15 | 26 | 0.433 | 0.2663 | 0.2660 | 1.2766 | 1.2750 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Michigan | D1 | BigTen | — | 36 | 7 | 13 | 20 | 0.556 |
| 2018-19 | Michigan State | D1 | BigTen | SR | 36 | 7 | 13 | 20 | 0.556 |
| 2017-18 | Michigan | D1 | BigTen | — | 33 | 6 | 15 | 21 | 0.636 |
| 2017-18 | Michigan State | D1 | BigTen | JR | 33 | 6 | 15 | 21 | 0.636 |
| 2016-17 | Michigan | D1 | BigTen | — | 24 | 1 | 4 | 5 | 0.208 |
| 2016-17 | Michigan State | D1 | BigTen | SO | 24 | 1 | 4 | 5 | 0.208 |
| 2015-16 | Michigan | D1 | BigTen | — | 29 | 2 | 5 | 7 | 0.241 |
| 2015-16 | Michigan State | D1 | BigTen | FR | 29 | 2 | 5 | 7 | 0.241 |
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.