| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Des Moines Buccaneers | USHL | 11 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2015-16 | Johnstown Tomahawks | NAHL | 54 | 8 | 20 | 28 | 0.518 | 0.1905 | 0.1986 | 0.5473 | 0.5707 |
| 2016-17 | Omaha Lancers | USHL | 25 | 2 | 7 | 9 | 0.360 | 0.2124 | 0.2034 | 1.0812 | 1.0352 |
| 2017-18 | Wenatchee Wild | BCHL | 41 | 5 | 23 | 28 | 0.683 | 0.2631 | 0.2445 | 0.9938 | 0.9236 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Western Michigan | D1 | NCHC | — | 38 | 9 | 12 | 21 | 0.553 |
| 2022-23 | Western Michigan | D1 | NCHC | — | 39 | 11 | 18 | 29 | 0.744 |
| 2021-22 | American International | D1 | AHA | JR | 36 | 5 | 24 | 29 | 0.806 |
| 2020-21 | American International | D1 | AHA | SO | 16 | 4 | 6 | 10 | 0.625 |
| 2018-19 | Minnesota State | D1 | WCHA | FR | 4 | 0 | 1 | 1 | 0.250 |
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.