| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Amarillo Wranglers | NAHL | 3 | 1 | 0 | 1 | 0.333 | 0.1225 | 0.1319 | 0.3518 | 0.3787 |
| 2017-18 | Amarillo Wranglers | NAHL | 59 | 3 | 12 | 15 | 0.254 | 0.0934 | 0.0959 | 0.2683 | 0.2755 |
| 2018-19 | Amarillo Wranglers | NAHL | 60 | 13 | 24 | 37 | 0.617 | 0.2266 | 0.2226 | 0.6509 | 0.6393 |
| 2019-20 | Amarillo Wranglers | NAHL | 52 | 17 | 30 | 47 | 0.904 | 0.3321 | 0.3321 | 0.9540 | 0.9540 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Adrian | D3 | NCHA | — | 17 | 4 | 2 | 6 | 0.353 |
| 2023-24 | Ferris State | D1 | CCHA | SR | 20 | 3 | 2 | 5 | 0.250 |
| 2022-23 | Ferris State | D1 | CCHA | JR | 7 | 1 | 0 | 1 | 0.143 |
| 2021-22 | Ferris State | D1 | CCHA | SO | 5 | 0 | 0 | 0 | 0.000 |
| 2020-21 | Ferris State | D1 | WCHA | FR | 5 | 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.