| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Totino-Grace High | USHS-MN | 25 | 3 | 11 | 14 | 0.560 | 0.1508 | 0.1612 | 0.1360 | 0.1454 |
| 2017-18 | — | USHL | 23 | 8 | 10 | 18 | 0.783 | 0.4811 | 0.4888 | 2.3057 | 2.3425 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | St. Cloud State | D1 | NCHC | SR | 20 | 12 | 10 | 22 | 1.100 |
| 2020-21 | St. Cloud State | D1 | NCHC | JR | 29 | 8 | 9 | 17 | 0.586 |
| 2019-20 | St. Cloud State | D1 | NCHC | SO | 28 | 7 | 17 | 24 | 0.857 |
| 2018-19 | St. Cloud State | D1 | NCHC | FR | 37 | 10 | 10 | 20 | 0.540 |
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.