| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Elk River/Zimmerman High | USHS-MN | 25 | 15 | 22 | 37 | 1.480 | 0.3984 | 0.4144 | 0.3595 | 0.3740 |
| 2015-16 | Madison Capitols | USHL | 2 | 1 | 1 | 2 | 1.000 | 0.6368 | 0.6926 | 2.9967 | 3.2592 |
| 2017-18 | Fairbanks Ice Dogs | NAHL | 48 | 13 | 27 | 40 | 0.833 | 0.3094 | 0.3150 | — | — |
| 2018-19 | Fairbanks Ice Dogs | NAHL | 57 | 20 | 23 | 43 | 0.754 | 0.2801 | 0.2726 | 0.7988 | 0.7775 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Trinity | D3 | NESCAC | — | 10 | 1 | 3 | 4 | 0.400 |
| 2022-23 | Trinity | D3 | NESCAC | — | 21 | 5 | 9 | 14 | 0.667 |
| 2021-22 | Trinity | D3 | NESCAC | — | 24 | 9 | 12 | 21 | 0.875 |
| 2020-21 | Arizona State | D1 | — | SO | 22 | 5 | 5 | 10 | 0.455 |
| 2019-20 | Arizona State | D1 | — | FR | 4 | 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.