| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | New Jersey Jr. Titans | EHL | 7 | 1 | 5 | 6 | 0.857 | 0.3016 | 0.3451 | 0.4202 | 0.4809 |
| 2014-15 | Sioux City Musketeers | USHL | 60 | 10 | 24 | 34 | 0.567 | 0.3484 | 0.3676 | 1.6696 | 1.7616 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Union | D1 | ECAC | SR | 39 | 15 | 14 | 29 | 0.744 |
| 2017-18 | Union | D1 | ECAC | JR | 38 | 11 | 6 | 17 | 0.447 |
| 2016-17 | Union | D1 | ECAC | SO | 35 | 5 | 11 | 16 | 0.457 |
| 2015-16 | Union | D1 | ECAC | FR | 30 | 1 | 5 | 6 | 0.200 |
| 2013-14 | Utica | D3 | — | FR | 24 | 0 | 3 | 3 | 0.125 |
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.