| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | — | NAHL | 58 | 5 | 14 | 19 | 0.328 | 0.1204 | 0.1258 | 0.3462 | 0.3618 |
| 2014-15 | Minnesota Wilderness | NAHL | 30 | 3 | 11 | 14 | 0.467 | 0.1715 | 0.1702 | 0.4933 | 0.4896 |
| 2015-16 | Minnesota Wilderness | NAHL | 40 | 8 | 9 | 17 | 0.425 | 0.1561 | 0.1480 | 0.4492 | 0.4260 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Wisconsin-Stout | D3 | BigTen | SO | 25 | 2 | 6 | 8 | 0.320 |
| 2016-17 | Wisconsin-Stout | D3 | BigTen | FR | 26 | 4 | 8 | 12 | 0.462 |
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.