| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Canmore Eagles | AJHL | 3 | 2 | 0 | 2 | 0.667 | 0.2236 | 0.2556 | 0.6170 | 0.7054 |
| 2015-16 | Canmore Eagles | AJHL | 60 | 10 | 28 | 38 | 0.633 | 0.2124 | 0.2329 | 0.5861 | 0.6428 |
| 2016-17 | Canmore Eagles | AJHL | 59 | 20 | 31 | 51 | 0.864 | 0.2899 | 0.3038 | 0.7999 | 0.8383 |
| 2017-18 | Dubuque Fighting Saints | USHL | 50 | 18 | 15 | 33 | 0.660 | 0.3893 | 0.3817 | 1.9822 | 1.9436 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Alaska Anchorage | D1 | WCHA | — | 34 | 5 | 8 | 13 | 0.382 |
| 2022-23 | Alaska Anchorage | D1 | WCHA | — | 4 | 0 | 0 | 0 | 0.000 |
| 2021-22 | Sacred Heart | D1 | AHA | SR | 27 | 2 | 5 | 7 | 0.259 |
| 2020-21 | Sacred Heart | D1 | AHA | JR | 10 | 0 | 1 | 1 | 0.100 |
| 2019-20 | Clarkson | D1 | ECAC | SO | 26 | 8 | 2 | 10 | 0.385 |
| 2018-19 | Clarkson | D1 | ECAC | FR | 33 | 0 | 8 | 8 | 0.242 |
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.