| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Youngstown Phantoms | USHL | 58 | 11 | 14 | 25 | 0.431 | 0.2542 | 0.2439 | 1.2945 | 1.2421 |
| 2016-17 | Youngstown Phantoms | USHL | 59 | 18 | 16 | 34 | 0.576 | 0.3400 | 0.3089 | 1.7309 | 1.5724 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Providence | D1 | HockeyEast | — | 23 | 1 | 3 | 4 | 0.174 |
| 2020-21 | Vermont | D1 | HockeyEast | SR | 13 | 1 | 2 | 3 | 0.231 |
| 2019-20 | Vermont | D1 | HockeyEast | JR | 30 | 5 | 8 | 13 | 0.433 |
| 2018-19 | Vermont | D1 | HockeyEast | SO | 28 | 7 | 9 | 16 | 0.571 |
| 2017-18 | Vermont | D1 | HockeyEast | FR | 35 | 10 | 10 | 20 | 0.571 |
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.