| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Selkirk Steelers | MJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2011-12 | Selkirk Steelers | MJHL | 38 | 7 | 4 | 11 | 0.289 | 0.0787 | 0.0842 | 0.1824 | 0.1952 |
| 2012-13 | Selkirk Steelers | MJHL | 57 | 13 | 12 | 25 | 0.439 | 0.1193 | 0.1217 | 0.2764 | 0.2821 |
| 2013-14 | Selkirk Steelers | MJHL | 34 | 7 | 8 | 15 | 0.441 | 0.1200 | 0.1164 | 0.2780 | 0.2696 |
| 2014-15 | Selkirk Steelers | MJHL | 56 | 26 | 21 | 47 | 0.839 | 0.2282 | 0.2095 | 0.5289 | 0.4855 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Utica | D1 | — | SR | 6 | 0 | 2 | 2 | 0.333 |
| 2018-19 | Utica | D3 | UCHC | SR | 6 | 0 | 2 | 2 | 0.333 |
| 2017-18 | Utica | D3 | UCHC | JR | 25 | 6 | 10 | 16 | 0.640 |
| 2016-17 | Utica | D3 | UCHC | SO | 18 | 4 | 8 | 12 | 0.667 |
| 2015-16 | Utica | D3 | UCHC | FR | 12 | 4 | 1 | 5 | 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.