| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Coulee Region Chill | NAHL | 57 | 14 | 8 | 22 | 0.386 | 0.1418 | 0.1487 | 0.4074 | 0.4273 |
| 2018-19 | — | NAHL | 58 | 10 | 15 | 25 | 0.431 | 0.1583 | 0.1589 | 0.4549 | 0.4567 |
| 2019-20 | Amarillo Wranglers | NAHL | 51 | 15 | 26 | 41 | 0.804 | 0.2954 | 0.2954 | 0.8485 | 0.8485 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Canisius | D1 | AHA | SO | 8 | 1 | 0 | 1 | 0.125 |
| 2020-21 | Canisius | D1 | AHA | FR | 2 | 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.