| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Fort McMurray Oil Barons | AJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2013-14 | Drumheller Dragons | AJHL | 52 | 12 | 16 | 28 | 0.538 | 0.1799 | 0.1820 | 0.4999 | 0.5058 |
| 2014-15 | Drumheller Dragons | AJHL | 25 | 5 | 15 | 20 | 0.800 | 0.2672 | 0.2562 | 0.7426 | 0.7119 |
| 2015-16 | — | AJHL | 57 | 12 | 30 | 42 | 0.737 | 0.2461 | 0.2245 | 0.6840 | 0.6239 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Wisconsin-Superior | D3 | BigTen | FR | 2 | 0 | 2 | 2 | 1.000 |
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.