| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Sioux City Musketeers | USHL | 55 | 6 | 12 | 18 | 0.327 | 0.1931 | 0.2115 | 0.9830 | 1.0768 |
| 2015-16 | — | USHL | 47 | 7 | 27 | 34 | 0.723 | 0.4267 | 0.4476 | 2.1727 | 2.2792 |
| 2016-17 | Waterloo Black Hawks | USHL | 50 | 8 | 21 | 29 | 0.580 | 0.3421 | 0.3414 | 1.7420 | 1.7385 |
| 2017-18 | Halifax Mooseheads | QMJHL | 33 | 7 | 20 | 27 | 0.818 | 0.4020 | 0.3800 | 2.1848 | 2.0654 |
| 2018-19 | Halifax Mooseheads | QMJHL | 51 | 9 | 24 | 33 | 0.647 | 0.3179 | 0.2851 | 1.7280 | 1.5497 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Providence | D1 | HockeyEast | FR | 5 | 1 | 0 | 1 | 0.200 |
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.