| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Wilkes-Barre/Scranton Knights | NAHL | 3 | 1 | 0 | 1 | 0.333 | 0.1225 | 0.1312 | 0.3518 | 0.3767 |
| 2017-18 | Wilkes-Barre/Scranton Knights | NAHL | 58 | 3 | 25 | 28 | 0.483 | 0.1774 | 0.1812 | 0.5096 | 0.5204 |
| 2018-19 | Youngstown Phantoms | USHL | 58 | 3 | 7 | 10 | 0.172 | 0.1017 | 0.0954 | 0.5178 | 0.4859 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Army | D1 | AHA | SR | 37 | 6 | 14 | 20 | 0.540 |
| 2021-22 | Army | D1 | AHA | JR | 35 | 4 | 14 | 18 | 0.514 |
| 2020-21 | Army | D1 | AHA | SO | 22 | 5 | 9 | 14 | 0.636 |
| 2019-20 | Army | D1 | AHA | FR | 32 | 1 | 9 | 10 | 0.312 |
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.