| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Yorkton Terriers | SJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2016-17 | Yorkton Terriers | SJHL | 7 | 0 | 2 | 2 | 0.286 | 0.0870 | 0.0940 | 0.2117 | 0.2287 |
| 2017-18 | Drumheller Dragons | AJHL | 50 | 7 | 5 | 12 | 0.240 | 0.0796 | 0.0805 | 0.2224 | 0.2249 |
| 2018-19 | Drumheller Dragons | AJHL | 60 | 23 | 22 | 45 | 0.750 | 0.2488 | 0.2396 | 0.6951 | 0.6693 |
| 2019-20 | Drumheller Dragons | AJHL | 50 | 14 | 21 | 35 | 0.700 | 0.2323 | 0.2323 | 0.6488 | 0.6488 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Aurora | D3 | NCHA | SR | 26 | 8 | 9 | 17 | 0.654 |
| 2022-23 | Aurora | D3 | NCHA | JR | 25 | 12 | 16 | 28 | 1.120 |
| 2021-22 | Aurora | D3 | NCHA | SO | 26 | 8 | 12 | 20 | 0.769 |
| 2020-21 | Aurora | D1 | — | FR | 11 | 2 | 5 | 7 | 0.636 |
| 2020-21 | Aurora | D3 | NCHA | FR | 11 | 2 | 5 | 7 | 0.636 |
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.