| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Spruce Grove Saints | AJHL | 3 | 0 | 1 | 1 | 0.333 | 0.1118 | 0.1283 | 0.3084 | 0.3539 |
| 2016-17 | Spruce Grove Saints | AJHL | 54 | 3 | 9 | 12 | 0.222 | 0.0745 | 0.0819 | 0.2056 | 0.2259 |
| 2017-18 | Spruce Grove Saints | AJHL | 53 | 4 | 25 | 29 | 0.547 | 0.1835 | 0.1913 | 0.5064 | 0.5279 |
| 2018-19 | Spruce Grove Saints | AJHL | 53 | 11 | 34 | 45 | 0.849 | 0.2848 | 0.2831 | 0.7858 | 0.7811 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Alaska Fairbanks | D1 | WCHA | — | 34 | 3 | 16 | 19 | 0.559 |
| 2022-23 | Alaska Fairbanks | D1 | WCHA | — | 34 | 3 | 13 | 16 | 0.471 |
| 2021-22 | Bowling Green | D1 | CCHA | JR | 35 | 1 | 12 | 13 | 0.371 |
| 2020-21 | Bowling Green | D1 | WCHA | SO | 31 | 0 | 14 | 14 | 0.452 |
| 2019-20 | Bowling Green | D1 | WCHA | FR | 38 | 3 | 8 | 11 | 0.289 |
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.