| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Metro Jets | NA3HL | 37 | 5 | 13 | 18 | 0.486 | 0.0586 | 0.0607 | 0.1537 | 0.1593 |
| 2015-16 | Metro Jets | NA3HL | 45 | 11 | 25 | 36 | 0.800 | 0.0964 | 0.0952 | 0.2527 | 0.2496 |
| 2016-17 | Metro Jets | NA3HL | 47 | 22 | 38 | 60 | 1.277 | 0.1538 | 0.1441 | 0.4033 | 0.3779 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Johnson & Wales | D3 | CNE | SR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Johnson & Wales | D3 | CNE | JR | 24 | 3 | 7 | 10 | 0.417 |
| 2018-19 | Johnson & Wales | D3 | CNE | SO | 22 | 2 | 2 | 4 | 0.182 |
| 2017-18 | Johnson & Wales | D3 | CNE | FR | 24 | 6 | 9 | 15 | 0.625 |
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.