| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Youngstown Phantoms | USHL | 48 | 2 | 8 | 10 | 0.208 | 0.1229 | 0.1316 | 0.6250 | 0.6692 |
| 2016-17 | Youngstown Phantoms | USHL | 52 | 9 | 7 | 16 | 0.308 | 0.1815 | 0.1851 | 0.9233 | 0.9414 |
| 2017-18 | Youngstown Phantoms | USHL | 60 | 23 | 10 | 33 | 0.550 | 0.3244 | 0.3147 | 1.6504 | 1.6008 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Mercyhurst | D1 | AHA | — | 35 | 17 | 15 | 32 | 0.914 |
| 2021-22 | New Hampshire | D1 | HockeyEast | — | 30 | 3 | 0 | 3 | 0.100 |
| 2020-21 | New Hampshire | D1 | HockeyEast | JR | 17 | 0 | 1 | 1 | 0.059 |
| 2019-20 | New Hampshire | D1 | HockeyEast | SO | 33 | 4 | 6 | 10 | 0.303 |
| 2018-19 | New Hampshire | D1 | HockeyEast | FR | 36 | 2 | 3 | 5 | 0.139 |
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.