| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Fargo Force | USHL | 48 | 1 | 6 | 7 | 0.146 | 0.0896 | 0.0991 | 0.4296 | 0.4752 |
| 2013-14 | Fargo Force | USHL | 41 | 1 | 5 | 6 | 0.146 | 0.0899 | 0.0952 | 0.4310 | 0.4566 |
| 2014-15 | Central Illinois Flying Aces | USHL | 52 | 2 | 7 | 9 | 0.173 | 0.1064 | 0.1075 | 0.5100 | 0.5152 |
| 2015-16 | Central Illinois Flying Aces | USHL | 59 | 2 | 15 | 17 | 0.288 | 0.1771 | 0.1707 | 0.8488 | 0.8180 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Michigan | D1 | BigTen | — | 36 | 2 | 3 | 5 | 0.139 |
| 2019-20 | Michigan State | D1 | BigTen | SR | 36 | 2 | 3 | 5 | 0.139 |
| 2018-19 | Michigan | D1 | BigTen | — | 28 | 0 | 0 | 0 | 0.000 |
| 2018-19 | Michigan State | D1 | BigTen | JR | 28 | 0 | 0 | 0 | 0.000 |
| 2017-18 | Michigan | D1 | BigTen | — | 29 | 2 | 1 | 3 | 0.103 |
| 2017-18 | Michigan State | D1 | BigTen | SO | 29 | 2 | 1 | 3 | 0.103 |
| 2016-17 | Michigan | D1 | BigTen | — | 21 | 0 | 1 | 1 | 0.048 |
| 2016-17 | Michigan State | D1 | BigTen | FR | 21 | 0 | 1 | 1 | 0.048 |
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.