| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Buffalo Jr. Sabres | OJHL | 33 | 3 | 4 | 7 | 0.212 | 0.0593 | 0.0592 | 0.1464 | 0.1463 |
| 2013-14 | New Jersey Jr. Titans | EHL | 8 | 0 | 1 | 1 | 0.125 | 0.0268 | 0.0262 | 0.0612 | 0.0598 |
| 2014-15 | Syracuse Jr. Stars | USPHL-Elite | 41 | 11 | 19 | 30 | 0.732 | 0.0877 | 0.0806 | 0.1680 | 0.1545 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | King's | D3 | MAC | — | 24 | 2 | 2 | 4 | 0.167 |
| 2017-18 | King's | D3 | MAC | — | 24 | 3 | 7 | 10 | 0.417 |
| 2016-17 | SUNY Brockport | D3 | — | SO | 15 | 0 | 0 | 0 | 0.000 |
| 2015-16 | SUNY Brockport | D3 | — | FR | 6 | 0 | 2 | 2 | 0.333 |
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.