| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Bridgewater Jr. Bandits | USPHL-Premier | 12 | 2 | 4 | 6 | 0.500 | 0.0673 | 0.0681 | 0.1702 | 0.1721 |
| 2018-19 | Blind River Beavers | NOJHL | 14 | 4 | 7 | 11 | 0.786 | 0.1325 | 0.1259 | 0.3265 | 0.3101 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | UMass Dartmouth | D3 | — | SR | 9 | 0 | 1 | 1 | 0.111 |
| 2021-22 | King's | D3 | MAC | — | 18 | 1 | 4 | 5 | 0.278 |
| 2020-21 | Becker | D3 | — | SO | 9 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Becker | D3 | — | FR | 21 | 2 | 8 | 10 | 0.476 |
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.