| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Calgary Mustangs | AJHL | 5 | 3 | 1 | 4 | 0.800 | 0.2654 | 0.2879 | 0.7414 | 0.8042 |
| 2017-18 | Merritt Centennials | BCHL | 40 | 9 | 8 | 17 | 0.425 | 0.1583 | 0.1644 | 0.6193 | 0.6433 |
| 2018-19 | Merritt Centennials | BCHL | 49 | 27 | 24 | 51 | 1.041 | 0.3877 | 0.3818 | 1.5165 | 1.4936 |
| 2019-20 | Dubuque Fighting Saints | USHL | 46 | 17 | 24 | 41 | 0.891 | 0.5479 | 0.5479 | 2.6259 | 2.6259 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Arizona State | D1 | NCHC | SR | 38 | 23 | 13 | 36 | 0.947 |
| 2022-23 | Arizona State | D1 | NCHC | JR | 21 | 6 | 6 | 12 | 0.571 |
| 2021-22 | Arizona State | D1 | — | SO | 34 | 22 | 18 | 40 | 1.177 |
| 2020-21 | Arizona State | D1 | — | FR | 25 | 13 | 6 | 19 | 0.760 |
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.