| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Rockland Nationals | CCHL | 53 | 8 | 13 | 21 | 0.396 | 0.1265 | 0.1386 | 0.3067 | 0.3359 |
| 2016-17 | Rockland Nationals | CCHL | 61 | 17 | 10 | 27 | 0.443 | 0.1413 | 0.1474 | 0.3426 | 0.3573 |
| 2017-18 | Rockland Nationals | CCHL | 48 | 10 | 7 | 17 | 0.354 | 0.1131 | 0.1121 | 0.2742 | 0.2718 |
| 2018-19 | Rockland Nationals | CCHL | 58 | 7 | 12 | 19 | 0.328 | 0.1046 | 0.0990 | 0.2536 | 0.2401 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Lake Forest | D3 | NCHA | SR | 27 | 4 | 6 | 10 | 0.370 |
| 2021-22 | Lake Forest | D3 | NCHA | JR | 23 | 1 | 3 | 4 | 0.174 |
| 2020-21 | Lake Forest | D1 | — | SO | 2 | 0 | 1 | 1 | 0.500 |
| 2020-21 | Lake Forest | D3 | NCHA | SO | 2 | 0 | 1 | 1 | 0.500 |
| 2019-20 | Lake Forest | D1 | — | FR | 27 | 6 | 10 | 16 | 0.593 |
| 2019-20 | Lake Forest | D3 | NCHA | FR | 27 | 6 | 10 | 16 | 0.593 |
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.