| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Winnipeg Blues | MJHL | 59 | 14 | 17 | 31 | 0.525 | 0.1429 | 0.1494 | 0.3311 | 0.3461 |
| 2018-19 | Neepawa Titans | MJHL | 57 | 13 | 12 | 25 | 0.439 | 0.1193 | 0.1182 | 0.2764 | 0.2738 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Wisconsin-Stout | D1 | BigTen | FR | 4 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Wisconsin-Stout | D3 | BigTen | 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.