| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Soo Eagles | NAHL | 45 | 2 | 2 | 4 | 0.089 | 0.0330 | 0.0341 | 0.0941 | 0.0974 |
| 2015-16 | St. Cloud Norsemen | NAHL | 14 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2016-17 | Renfrew Wolves | CCHL | 52 | 22 | 29 | 51 | 0.981 | 0.2799 | 0.2571 | 0.7592 | 0.6975 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Milwaukee School of Engineering | D3 | — | JR | 17 | 7 | 4 | 11 | 0.647 |
| 2018-19 | Milwaukee School of Engineering | D3 | — | SO | 24 | 4 | 11 | 15 | 0.625 |
| 2017-18 | Milwaukee School of Engineering | D3 | — | FR | 20 | 4 | 7 | 11 | 0.550 |
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.