| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Fischtown Pinguins | DEL | 38 | 14 | 6 | 20 | 0.526 | 0.5756 | 0.6338 | — | — |
| 2024-25 | Fischtown Pinguins | DEL | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Western Michigan | D1 | NCHC | SR | 37 | 11 | 27 | 38 | 1.027 |
| 2017-18 | Western Michigan | D1 | NCHC | JR | 26 | 9 | 18 | 27 | 1.038 |
| 2016-17 | Western Michigan | D1 | NCHC | SO | 40 | 13 | 16 | 29 | 0.725 |
| 2015-16 | Western Michigan | D1 | NCHC | FR | 33 | 8 | 8 | 16 | 0.485 |
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.