| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Wenatchee Wild | NAHL | 49 | 8 | 14 | 22 | 0.449 | 0.1667 | 0.1845 | 0.4754 | 0.5263 |
| 2015-16 | Corpus Christi IceRays | NAHL | 51 | 6 | 8 | 14 | 0.275 | 0.1019 | 0.1083 | 0.2906 | 0.3088 |
| 2016-17 | Whitecourt Wolverines | AJHL | 57 | 12 | 19 | 31 | 0.544 | 0.1817 | 0.1808 | 0.5049 | 0.5025 |
| 2017-18 | Whitecourt Wolverines | AJHL | 57 | 10 | 27 | 37 | 0.649 | 0.2168 | 0.2036 | 0.6026 | 0.5658 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | UMass Boston | D3 | HockeyEast | FR | 25 | 4 | 5 | 9 | 0.360 |
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.