| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Trail Smoke Eaters | BCHL | 4 | 1 | 0 | 1 | 0.250 | 0.0973 | 0.1063 | 0.3646 | 0.3984 |
| 2016-17 | Lloydminster Bobcats | AJHL | 50 | 6 | 8 | 14 | 0.280 | 0.0935 | 0.0922 | 0.2599 | 0.2562 |
| 2017-18 | Dauphin Kings | MJHL | 50 | 13 | 16 | 29 | 0.580 | 0.1641 | 0.1549 | 0.3655 | 0.3450 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Wisconsin-Stevens Point | D3 | WIAC | SR | 29 | 5 | 7 | 12 | 0.414 |
| 2021-22 | Wisconsin-Stevens Point | D3 | WIAC | JR | 19 | 5 | 8 | 13 | 0.684 |
| 2019-20 | Wisconsin-Stevens Point | D3 | BigTen | SO | 19 | 2 | 3 | 5 | 0.263 |
| 2018-19 | Wisconsin-Stevens Point | D3 | BigTen | FR | 2 | 1 | 1 | 2 | 1.000 |
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.