| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Chicago Steel | USHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2016-17 | Muskegon Lumberjacks | USHL | 60 | 4 | 6 | 10 | 0.167 | 0.1025 | 0.1068 | 0.4911 | 0.5115 |
| 2017-18 | Muskegon Lumberjacks | USHL | 59 | 4 | 24 | 28 | 0.475 | 0.2917 | 0.2894 | 1.3983 | 1.3871 |
| 2018-19 | Muskegon Lumberjacks | USHL | 58 | 6 | 30 | 36 | 0.621 | 0.3815 | 0.3588 | 1.8287 | 1.7198 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Merrimack | D1 | HockeyEast | — | 0 | 0 | 0 | 0 | 0.000 |
| 2020-21 | Minnesota | D1 | BigTen | — | 3 | 0 | 0 | 0 | 0.000 |
| 2020-21 | Minnesota State | D1 | WCHA | SO | 3 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Minnesota | D1 | BigTen | — | 2 | 0 | 1 | 1 | 0.500 |
| 2019-20 | Minnesota State | D1 | WCHA | FR | 2 | 0 | 1 | 1 | 0.500 |
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.