| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | — | USHL | 4 | 0 | 1 | 1 | 0.250 | 0.1475 | 0.1669 | 0.7509 | 0.8497 |
| 2015-16 | — | USHL | 21 | 3 | 4 | 7 | 0.333 | 0.1966 | 0.2133 | 1.0010 | 1.0862 |
| 2016-17 | — | USHL | 55 | 10 | 8 | 18 | 0.327 | 0.1931 | 0.1997 | 0.9830 | 1.0166 |
| 2017-18 | — | USHL | 60 | 21 | 27 | 48 | 0.800 | 0.4719 | 0.4646 | 2.4027 | 2.3654 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Clarkson | D1 | ECAC | JR | 14 | 2 | 3 | 5 | 0.357 |
| 2019-20 | Clarkson | D1 | ECAC | SO | 32 | 13 | 14 | 27 | 0.844 |
| 2018-19 | Clarkson | D1 | ECAC | FR | 32 | 14 | 9 | 23 | 0.719 |
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.