| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Dauphin Kings | MJHL | 55 | 9 | 4 | 13 | 0.236 | 0.0455 | 0.0520 | 0.1490 | 0.1704 |
| 2017-18 | Dauphin Kings | MJHL | 57 | 17 | 20 | 37 | 0.649 | 0.1250 | 0.1369 | 0.4091 | 0.4481 |
| 2018-19 | — | NAHL | 45 | 7 | 15 | 22 | 0.489 | 0.1737 | 0.1835 | 0.5133 | 0.5421 |
| 2019-20 | — | NAHL | 45 | 11 | 19 | 30 | 0.667 | 0.2368 | 0.2368 | 0.7000 | 0.7000 |
| 2020-21 | Austin Bruins | NAHL | 38 | 6 | 12 | 18 | 0.474 | 0.1683 | 0.1683 | 0.4973 | 0.4973 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Wisconsin-Eau Claire | D3 | WIAC | SR | 20 | 0 | 3 | 3 | 0.150 |
| 2023-24 | Wisconsin-Eau Claire | D3 | WIAC | JR | 26 | 4 | 5 | 9 | 0.346 |
| 2022-23 | Wisconsin-Eau Claire | D3 | WIAC | SO | 25 | 2 | 10 | 12 | 0.480 |
| 2021-22 | Wisconsin-Eau Claire | D3 | WIAC | FR | 19 | 3 | 5 | 8 | 0.421 |
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.