| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Benilde-St. Margaret's School | USHS-MN | 25 | 21 | 11 | 32 | 1.280 | 0.3446 | 0.3440 | 0.3109 | 0.3104 |
| 2015-16 | Chicago Steel | USHL | 5 | 0 | 1 | 1 | 0.200 | 0.1229 | 0.1285 | 0.5892 | 0.6161 |
| 2016-17 | Merritt Centennials | BCHL | 53 | 26 | 24 | 50 | 0.943 | 0.3514 | 0.3566 | 1.3746 | 1.3948 |
| 2017-18 | Central Illinois Flying Aces | USHL | 19 | 2 | 3 | 5 | 0.263 | 0.1618 | 0.1529 | 0.7754 | 0.7328 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | St. Thomas | D3 | — | JR | 7 | 2 | 0 | 2 | 0.286 |
| 2019-20 | St. Lawrence | D1 | ECAC | — | 34 | 7 | 16 | 23 | 0.676 |
| 2018-19 | St. Lawrence | D1 | ECAC | — | 31 | 7 | 11 | 18 | 0.581 |
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.