| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Brunswick | NE-Prep | 24 | 9 | 10 | 19 | 0.792 | 0.1568 | 0.1568 | 0.3607 | 0.3607 |
| 2020-21 | Detroit Lakes | USHS-MN | 5 | 2 | 1 | 3 | 0.600 | 0.0760 | 0.0760 | 0.1457 | 0.1457 |
| 2021-22 | Detroit Lakes | USHS-MN | 25 | 10 | 9 | 19 | 0.760 | 0.0962 | 0.0962 | 0.1846 | 0.1846 |
| 2022-23 | Detroit Lakes | USHS-MN | 23 | 5 | 6 | 11 | 0.478 | 0.0606 | 0.0606 | 0.1162 | 0.1162 |
| 2024-25 | Lloydminster Bobcats | AJHL | 42 | 15 | 35 | 50 | 1.190 | 0.3993 | 0.4064 | 1.1017 | 1.1214 |
| 2025-26 | Kamloops Blazers | WHL | 68 | 10 | 29 | 39 | 0.574 | 0.2790 | 0.2637 | 1.4072 | 1.3299 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Quinnipiac | D1 | ECAC | — | 37 | 1 | 13 | 14 | 0.378 |
| 2023-24 | Quinnipiac | D1 | ECAC | — | 39 | 3 | 19 | 22 | 0.564 |
| 2022-23 | North Dakota | D1 | NCHC | — | 31 | 3 | 10 | 13 | 0.419 |
| 2021-22 | North Dakota | D1 | NCHC | — | 38 | 2 | 7 | 9 | 0.237 |
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.