| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Pembroke Lumber Kings | CCHL | 43 | 8 | 2 | 10 | 0.233 | 0.0664 | 0.0667 | 0.1801 | 0.1808 |
| 2016-17 | Pembroke Lumber Kings | CCHL | 58 | 3 | 4 | 7 | 0.121 | 0.0344 | 0.0327 | 0.0934 | 0.0888 |
| 2017-18 | Rochester Monarchs | NCDC | 49 | 9 | 7 | 16 | 0.327 | 0.0920 | 0.0852 | 0.2643 | 0.2447 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Nazareth | D3 | UCHC | SR | 26 | 4 | 14 | 18 | 0.692 |
| 2020-21 | Nazareth | D3 | UCHC | JR | 10 | 1 | 3 | 4 | 0.400 |
| 2019-20 | Nazareth | D3 | UCHC | SO | 28 | 2 | 1 | 3 | 0.107 |
| 2018-19 | Nazareth | D3 | UCHC | FR | 26 | 1 | 5 | 6 | 0.231 |
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.