| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Portage Terriers | MJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2017-18 | Portage Terriers | MJHL | 20 | 2 | 4 | 6 | 0.300 | 0.0816 | 0.0908 | 0.1891 | 0.2103 |
| 2018-19 | Portage Terriers | MJHL | 51 | 18 | 35 | 53 | 1.039 | 0.2826 | 0.2988 | 0.6549 | 0.6925 |
| 2019-20 | Youngstown Phantoms | USHL | 48 | 8 | 15 | 23 | 0.479 | 0.2946 | 0.2946 | 1.4118 | 1.4118 |
| 2020-21 | Youngstown Phantoms | USHL | 32 | 10 | 7 | 17 | 0.531 | 0.3265 | 0.3265 | 1.5650 | 1.5650 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bemidji State | D1 | CCHA | SR | 36 | 12 | 8 | 20 | 0.556 |
| 2024-25 | Bemidji State | D1 | CCHA | — | 36 | 7 | 16 | 23 | 0.639 |
| 2023-24 | Northern Michigan | D1 | CCHA | GR | 17 | 2 | 2 | 4 | 0.235 |
| 2022-23 | Northern Michigan | D1 | CCHA | SR | 23 | 1 | 6 | 7 | 0.304 |
| 2021-22 | Northern Michigan | D1 | CCHA | JR | 1 | 0 | 0 | 0 | 0.000 |
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.