| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Portage Terriers | MJHL | 49 | 18 | 15 | 33 | 0.673 | 0.1296 | 0.1495 | 0.4247 | 0.4898 |
| 2018-19 | Portage Terriers | MJHL | 54 | 26 | 30 | 56 | 1.037 | 0.1996 | 0.2193 | 0.6539 | 0.7183 |
| 2019-20 | Portage Terriers | MJHL | 60 | 26 | 42 | 68 | 1.133 | 0.2182 | 0.2182 | 0.7147 | 0.7147 |
| 2020-21 | Cowichan Valley Capitals | BCHL | 20 | 5 | 4 | 9 | 0.450 | 0.1734 | 0.1734 | 0.6549 | 0.6549 |
| 2021-22 | Anchorage Wolverines | NAHL | 24 | 8 | 2 | 10 | 0.417 | 0.1531 | 0.1479 | 0.4398 | 0.4250 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Minot State University | ACHA_D1 | — | — | 30 | 16 | 19 | 35 | 1.167 |
| 2024-25 | Minot State University | ACHA_D1 | — | — | 30 | 16 | 19 | 35 | 1.167 |
| 2023-24 | Minot State University | ACHA_D1 | — | — | 30 | 16 | 19 | 35 | 1.167 |
| 2022-23 | Minot State University | ACHA_D1 | — | — | 30 | 16 | 19 | 35 | 1.167 |
| 2021-22 | Minot State University | ACHA_D1 | — | — | 30 | 16 | 19 | 35 | 1.167 |
| 2020-21 | Minot State University | ACHA_D1 | — | — | 30 | 16 | 19 | 35 | 1.167 |
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.