| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Mason City Toros | NA3HL | 33 | 6 | 15 | 21 | 0.636 | 0.0767 | 0.0786 | 0.2010 | 0.2060 |
| 2016-17 | Mason City Toros | NA3HL | 44 | 11 | 27 | 38 | 0.864 | 0.1041 | 0.1014 | 0.2728 | 0.2658 |
| 2017-18 | Connecticut RoughRiders | EHL | 43 | 33 | 31 | 64 | 1.488 | 0.3194 | 0.3025 | 0.7289 | 0.6903 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | SUNY Brockport | D3 | SUNYAC | SR | 27 | 10 | 9 | 19 | 0.704 |
| 2019-20 | SUNY Brockport | D3 | — | SO | 25 | 3 | 5 | 8 | 0.320 |
| 2018-19 | SUNY Brockport | D3 | — | FR | 26 | 8 | 7 | 15 | 0.577 |
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.