| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Whitecourt Wolverines | AJHL | 32 | 4 | 1 | 5 | 0.156 | 0.0524 | 0.0591 | 0.1445 | 0.1630 |
| 2016-17 | Whitecourt Wolverines | AJHL | 56 | 5 | 13 | 18 | 0.321 | 0.1078 | 0.1163 | 0.2974 | 0.3209 |
| 2017-18 | Drumheller Dragons | AJHL | 55 | 5 | 20 | 25 | 0.455 | 0.1524 | 0.1559 | 0.4206 | 0.4302 |
| 2018-19 | Drumheller Dragons | AJHL | 41 | 3 | 13 | 16 | 0.390 | 0.1309 | 0.1275 | 0.3611 | 0.3518 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Alaska Fairbanks | D1 | WCHA | — | 29 | 2 | 4 | 6 | 0.207 |
| 2022-23 | Maine | D1 | HockeyEast | — | 19 | 0 | 2 | 2 | 0.105 |
| 2021-22 | Maine | D1 | HockeyEast | JR | 22 | 1 | 3 | 4 | 0.182 |
| 2020-21 | Maine | D1 | HockeyEast | SO | 10 | 0 | 2 | 2 | 0.200 |
| 2019-20 | Maine | D1 | HockeyEast | 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.