| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Kindersley Klippers | SJHL | 47 | 2 | 3 | 5 | 0.106 | 0.0273 | 0.0273 | 0.0802 | 0.0801 |
| 2014-15 | Rochester Jr. Americans | USPHL-Premier-Classic | 47 | 4 | 7 | 11 | 0.234 | 0.0657 | 0.0635 | 0.1924 | 0.1859 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Nazareth | D1 | UCHC | SR | 28 | 5 | 15 | 20 | 0.714 |
| 2018-19 | Nazareth | D3 | UCHC | SR | 28 | 5 | 15 | 20 | 0.714 |
| 2017-18 | Nazareth | D3 | UCHC | JR | 25 | 3 | 9 | 12 | 0.480 |
| 2016-17 | Nazareth | D3 | UCHC | SO | 26 | 2 | 8 | 10 | 0.385 |
| 2015-16 | Nazareth | D3 | UCHC | FR | 24 | 4 | 6 | 10 | 0.417 |
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.