| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Camrose Kodiaks | AJHL | 4 | 1 | 4 | 5 | 1.250 | 0.4192 | 0.4540 | 1.1567 | 1.2529 |
| 2015-16 | Camrose Kodiaks | AJHL | 31 | 3 | 5 | 8 | 0.258 | 0.0866 | 0.0898 | 0.2388 | 0.2475 |
| 2016-17 | Bonnyville Pontiacs | AJHL | 59 | 28 | 19 | 47 | 0.797 | 0.2672 | 0.2640 | 0.7372 | 0.7283 |
| 2017-18 | Bonnyville Pontiacs | AJHL | 28 | 22 | 19 | 41 | 1.464 | 0.4911 | 0.4575 | 1.3551 | 1.2624 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Long Island Univ. | D1 | AHA | — | 32 | 7 | 4 | 11 | 0.344 |
| 2020-21 | Arizona State | D1 | NCHC | — | 24 | 1 | 4 | 5 | 0.208 |
| 2019-20 | Arizona State | D1 | NCHC | — | 35 | 13 | 8 | 21 | 0.600 |
| 2018-19 | Arizona State | D1 | NCHC | — | 35 | 7 | 7 | 14 | 0.400 |
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.