| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Fort McMurray Oil Barons | AJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | Fort McMurray Oil Barons | AJHL | 46 | 3 | 6 | 9 | 0.196 | 0.0656 | 0.0704 | 0.1811 | 0.1944 |
| 2015-16 | — | AJHL | 53 | 1 | 14 | 15 | 0.283 | 0.0949 | 0.0975 | 0.2619 | 0.2689 |
| 2016-17 | Calgary Mustangs | AJHL | 58 | 7 | 19 | 26 | 0.448 | 0.1504 | 0.1471 | 0.4149 | 0.4059 |
| 2017-18 | Calgary Mustangs | AJHL | 55 | 9 | 26 | 35 | 0.636 | 0.2134 | 0.1967 | 0.5889 | 0.5429 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Concordia | D3 | MIAC | — | 23 | 3 | 8 | 11 | 0.478 |
| 2021-22 | Concordia (WI) | D3 | NCHA | SR | 23 | 3 | 8 | 11 | 0.478 |
| 2020-21 | Marian | D1 | NCHA | JR | 16 | 0 | 4 | 4 | 0.250 |
| 2020-21 | Marian | D3 | NCHA | GR | 16 | 0 | 4 | 4 | 0.250 |
| 2019-20 | Marian | D1 | NCHA | SO | 28 | 3 | 8 | 11 | 0.393 |
| 2019-20 | Marian | D3 | NCHA | SR | 28 | 3 | 8 | 11 | 0.393 |
| 2018-19 | Marian | D1 | NCHA | FR | 28 | 0 | 6 | 6 | 0.214 |
| 2018-19 | Marian | D3 | NCHA | JR | 28 | 0 | 6 | 6 | 0.214 |
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.