| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Sioux City Musketeers | USHL | 57 | 6 | 21 | 27 | 0.474 | 0.3017 | 0.2854 | 1.4195 | 1.3430 |
| 2013-14 | Lincoln Stars | USHL | 60 | 3 | 23 | 26 | 0.433 | 0.2759 | 0.2481 | 1.2985 | 1.1677 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Merrimack | D1 | HockeyEast | SR | 37 | 4 | 20 | 24 | 0.649 |
| 2016-17 | Merrimack | D1 | HockeyEast | JR | 37 | 3 | 10 | 13 | 0.351 |
| 2015-16 | Merrimack | D1 | HockeyEast | SO | 39 | 2 | 13 | 15 | 0.385 |
| 2014-15 | Merrimack | D1 | HockeyEast | FR | 35 | 2 | 3 | 5 | 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.