| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Kenai River Brown Bears | NAHL | 55 | 3 | 7 | 10 | 0.182 | 0.0668 | 0.0749 | 0.1919 | 0.2151 |
| 2013-14 | Youngstown Phantoms | USHL | 5 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | — | USHL | 52 | 5 | 13 | 18 | 0.346 | 0.2042 | 0.2014 | 1.0398 | 1.0254 |
| 2015-16 | — | USHL | 54 | 2 | 15 | 17 | 0.315 | 0.1857 | 0.1745 | 0.9455 | 0.8884 |
| 2016-17 | — | USHL | 57 | 3 | 25 | 28 | 0.491 | 0.2898 | 0.2575 | 1.4753 | 1.3109 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Oswego | D1 | — | JR | 27 | 4 | 12 | 16 | 0.593 |
| 2019-20 | SUNY Oswego | D3 | SUNYAC | JR | 27 | 4 | 12 | 16 | 0.593 |
| 2018-19 | Western Michigan | D1 | NCHC | SO | 10 | 0 | 0 | 0 | 0.000 |
| 2017-18 | Western Michigan | D1 | NCHC | FR | 23 | 0 | 1 | 1 | 0.043 |
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.