| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Corpus Christi IceRays | NAHL | 48 | 7 | 10 | 17 | 0.354 | 0.1301 | 0.1365 | 0.3739 | 0.3922 |
| 2014-15 | New Hampshire Jr. Monarchs | EHL | 39 | 5 | 25 | 30 | 0.769 | 0.1777 | 0.1790 | 0.3764 | 0.3791 |
| 2015-16 | New Hampshire Jr. Monarchs | EHL | 36 | 16 | 27 | 43 | 1.194 | 0.2759 | 0.2657 | 0.5844 | 0.5628 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | SUNY Brockport | D3 | SUNYAC | SO | 7 | 0 | 1 | 1 | 0.143 |
| 2016-17 | SUNY Brockport | D3 | SUNYAC | FR | 23 | 4 | 1 | 5 | 0.217 |
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.