| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Des Moines Buccaneers | USHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2015-16 | South Shore Kings | USPHL-Premier-Classic | 28 | 1 | 8 | 9 | 0.321 | 0.0965 | 0.1010 | 0.2647 | 0.2769 |
| 2016-17 | South Shore Kings | USPHL-Premier-Classic | 19 | 7 | 14 | 21 | 1.105 | 0.3319 | 0.3311 | 0.9104 | 0.9082 |
| 2017-18 | South Shore Kings | NCDC | 39 | 5 | 17 | 22 | 0.564 | 0.1590 | 0.1485 | 0.4567 | 0.4266 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Long Island | D1 | — | — | 33 | 2 | 4 | 6 | 0.182 |
| 2021-22 | Skidmore | D3 | SUNYAC | SR | 23 | 8 | 14 | 22 | 0.957 |
| 2020-21 | Skidmore | D3 | SUNYAC | JR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Skidmore | D3 | SUNYAC | SO | 23 | 6 | 15 | 21 | 0.913 |
| 2018-19 | Skidmore | D3 | SUNYAC | FR | 25 | 7 | 12 | 19 | 0.760 |
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.