| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Green Bay Gamblers | USHL | 32 | 1 | 1 | 2 | 0.062 | 0.0398 | 0.0438 | 0.1873 | 0.2062 |
| 2014-15 | Green Bay Gamblers | USHL | 41 | 1 | 1 | 2 | 0.049 | 0.0311 | 0.0327 | 0.1462 | 0.1538 |
| 2015-16 | Tri-City Storm | USHL | 8 | 0 | 1 | 1 | 0.125 | 0.0796 | 0.0800 | 0.3746 | 0.3766 |
| 2016-17 | Chilliwack Chiefs | BCHL | 50 | 12 | 12 | 24 | 0.480 | 0.1868 | 0.1820 | 0.7000 | 0.6821 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Lake Forest | D3 | NCHA | SR | 6 | 0 | 2 | 2 | 0.333 |
| 2019-20 | Lake Forest | D3 | NCHA | JR | 24 | 12 | 18 | 30 | 1.250 |
| 2018-19 | Lake Forest | D3 | NCHA | SO | 28 | 12 | 6 | 18 | 0.643 |
| 2017-18 | Lake Forest | D3 | NCHA | FR | 27 | 9 | 8 | 17 | 0.630 |
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.