| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Camrose Kodiaks | AJHL | 58 | 6 | 14 | 20 | 0.345 | 0.1156 | 0.1280 | 0.3191 | 0.3532 |
| 2015-16 | Camrose Kodiaks | AJHL | 55 | 9 | 21 | 30 | 0.545 | 0.1830 | 0.1941 | 0.5048 | 0.5353 |
| 2016-17 | Camrose Kodiaks | AJHL | 58 | 5 | 26 | 31 | 0.534 | 0.1793 | 0.1814 | 0.4946 | 0.5004 |
| 2018-19 | Univ. of Calgary | USports-M | 17 | 0 | 2 | 2 | 0.118 | 0.0620 | 0.0688 | 0.3447 | 0.3827 |
| 2019-20 | Univ. of Calgary | USports-M | 28 | 1 | 8 | 9 | 0.321 | 0.1696 | 0.1696 | 0.9420 | 0.9420 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Quinnipiac | D1 | ECAC | FR | 6 | 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.