| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Janesville Jets | NAHL | 36 | 2 | 5 | 7 | 0.194 | 0.0714 | 0.0780 | 0.2052 | 0.2241 |
| 2014-15 | Janesville Jets | NAHL | 56 | 28 | 30 | 58 | 1.036 | 0.3805 | 0.3956 | 1.0932 | 1.1365 |
| 2015-16 | Waterloo Black Hawks | USHL | 31 | 5 | 16 | 21 | 0.677 | 0.3996 | 0.3841 | 2.0345 | 1.9554 |
| 2016-17 | Lincoln Stars | USHL | 58 | 15 | 30 | 45 | 0.776 | 0.4577 | 0.4165 | 2.3303 | 2.1208 |
| 2023-24 | Lausitzer Füchse | DEL2 | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Northern Michigan | D1 | WCHA | SR | 25 | 5 | 7 | 12 | 0.480 |
| 2019-20 | Northern Michigan | D1 | WCHA | JR | 18 | 1 | 10 | 11 | 0.611 |
| 2018-19 | Northeastern | D1 | HockeyEast | SO | 6 | 1 | 0 | 1 | 0.167 |
| 2017-18 | Northeastern | D1 | HockeyEast | FR | 23 | 2 | 2 | 4 | 0.174 |
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.