| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Northern Manitoba Blizzard | MJHL | 2 | 0 | 1 | 1 | 0.500 | 0.0963 | 0.1117 | 0.3153 | 0.3657 |
| 2012-13 | Neepawa Titans | MJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2013-14 | Whitecourt Wolverines | AJHL | 55 | 12 | 14 | 26 | 0.473 | 0.1585 | 0.1661 | 0.4374 | 0.4583 |
| 2014-15 | Flin Flon Bombers | SJHL | 35 | 13 | 18 | 31 | 0.886 | 0.2269 | 0.2294 | 0.6676 | 0.6750 |
| 2015-16 | Flin Flon Bombers | SJHL | 53 | 32 | 43 | 75 | 1.415 | 0.3625 | 0.3487 | 1.0667 | 1.0261 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Alaska Anchorage | D1 | WCHA | FR | 14 | 0 | 2 | 2 | 0.143 |
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.