| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Sioux City Musketeers | USHL | 30 | 3 | 9 | 12 | 0.400 | 0.2360 | 0.2413 | 1.2003 | 1.2274 |
| 2014-15 | — | USHL | 60 | 16 | 17 | 33 | 0.550 | 0.3244 | 0.3158 | 1.6504 | 1.6064 |
| 2015-16 | Green Bay Gamblers | USHL | 59 | 29 | 23 | 52 | 0.881 | 0.5199 | 0.4819 | 2.6448 | 2.4515 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Michigan State | D1 | BigTen | SR | 36 | 10 | 7 | 17 | 0.472 |
| 2018-19 | Michigan State | D1 | BigTen | JR | 36 | 4 | 6 | 10 | 0.278 |
| 2017-18 | Michigan State | D1 | BigTen | SO | 36 | 6 | 3 | 9 | 0.250 |
| 2016-17 | Michigan State | D1 | BigTen | FR | 35 | 10 | 8 | 18 | 0.514 |
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.