| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Peoria Mustangs | NA3HL | 16 | 17 | 13 | 30 | 1.875 | 0.2259 | 0.2322 | 0.5923 | 0.6089 |
| 2016-17 | Peoria Mustangs | NA3HL | 44 | 31 | 25 | 56 | 1.273 | 0.1534 | 0.1499 | 0.4020 | 0.3930 |
| 2017-18 | Northern Cyclones | USPHL-Premier | 43 | 13 | 34 | 47 | 1.093 | 0.1471 | 0.1372 | 0.3721 | 0.3471 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Saint Anselm | D2 | NE10 | SR | 21 | 3 | 5 | 8 | 0.381 |
| 2020-21 | Saint Anselm | D2 | NE10 | JR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Saint Anselm | D2 | NE10 | SO | 28 | 12 | 15 | 27 | 0.964 |
| 2018-19 | Saint Anselm | D2 | NE10 | FR | 29 | 9 | 10 | 19 | 0.655 |
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.