| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | NTDP-U18 | 53 | 3 | 5 | 8 | 0.151 | 0.1170 | 0.1180 | 0.5616 | 0.5665 |
| 2019-20 | — | NTDP-U18 | 45 | 2 | 10 | 12 | 0.267 | 0.2068 | 0.2068 | 0.9926 | 0.9926 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | North Dakota | D1 | NCHC | JR | 35 | 8 | 10 | 18 | 0.514 |
| 2021-22 | North Dakota | D1 | NCHC | SO | 38 | 7 | 3 | 10 | 0.263 |
| 2020-21 | North Dakota | D1 | NCHC | FR | 22 | 5 | 2 | 7 | 0.318 |
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.