| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Notre Dame Hounds | SJHL | 4 | 1 | 2 | 3 | 0.750 | 0.1921 | 0.2130 | 0.5647 | 0.6262 |
| 2015-16 | — | AJHL | 28 | 6 | 8 | 14 | 0.500 | 0.1677 | 0.1754 | 0.4626 | 0.4839 |
| 2016-17 | Cowichan Valley Capitals | BCHL | 55 | 16 | 14 | 30 | 0.545 | 0.2102 | 0.2101 | 0.7934 | 0.7930 |
| 2017-18 | Salmon Arm Silverbacks | BCHL | 54 | 24 | 26 | 50 | 0.926 | 0.3567 | 0.3394 | 1.3466 | 1.2812 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | SUNY Plattsburgh | D3 | SUNYAC | SR | 2 | 0 | 0 | 0 | 0.000 |
| 2021-22 | Western Michigan | D1 | NCHC | — | 10 | 1 | 0 | 1 | 0.100 |
| 2020-21 | Western Michigan | D1 | NCHC | — | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Western Michigan | D1 | NCHC | SO | 33 | 9 | 8 | 17 | 0.515 |
| 2018-19 | Western Michigan | D1 | NCHC | FR | 13 | 2 | 1 | 3 | 0.231 |
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.