| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Hartford Jr. Wolfpack | EHL | 25 | 5 | 5 | 10 | 0.400 | 0.0858 | 0.0881 | 0.1959 | 0.2011 |
| 2016-17 | Hartford Jr. Wolfpack | EHL | 14 | 4 | 5 | 9 | 0.643 | 0.1380 | 0.1354 | 0.3148 | 0.3089 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Curry | D3 | CNE | SR | 5 | 2 | 1 | 3 | 0.600 |
| 2019-20 | Curry | D3 | CNE | JR | 26 | 4 | 6 | 10 | 0.385 |
| 2018-19 | Curry | D3 | CNE | SO | 18 | 2 | 5 | 7 | 0.389 |
| 2017-18 | Curry | D3 | CNE | FR | 21 | 1 | 8 | 9 | 0.429 |
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.