| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Lone Star Brahmas | NAHL | 23 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2016-17 | Winkler Flyers | MJHL | 58 | 19 | 27 | 46 | 0.793 | 0.2156 | 0.2148 | 0.4998 | 0.4980 |
| 2017-18 | Winkler Flyers | MJHL | 60 | 32 | 49 | 81 | 1.350 | 0.3671 | 0.3479 | 0.8508 | 0.8064 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | St. Thomas | D3 | — | SO | 18 | 2 | 3 | 5 | 0.278 |
| 2018-19 | St. Thomas | D3 | — | FR | 18 | 2 | 2 | 4 | 0.222 |
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.