| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Malmö Redhawks U20 | SHL-J20 | 30 | 5 | 11 | 16 | 0.533 | 0.2975 | 0.3128 | 0.7685 | 0.8081 |
| 2011-12 | Malmö Redhawks U20 | SHL-J20 | 48 | 7 | 7 | 14 | 0.292 | 0.1627 | 0.1637 | 0.4204 | 0.4230 |
| 2012-13 | Youngstown Phantoms | USHL | 49 | 8 | 11 | 19 | 0.388 | 0.2470 | 0.2354 | 1.1621 | 1.1074 |
| 2013-14 | Youngstown Phantoms | USHL | 39 | 3 | 13 | 16 | 0.410 | 0.2613 | 0.2368 | 1.2295 | 1.1141 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Merrimack | D1 | HockeyEast | SR | 37 | 3 | 8 | 11 | 0.297 |
| 2016-17 | Merrimack | D1 | HockeyEast | JR | 34 | 1 | 4 | 5 | 0.147 |
| 2015-16 | Merrimack | D1 | HockeyEast | SO | 31 | 1 | 1 | 2 | 0.065 |
| 2014-15 | Merrimack | D1 | HockeyEast | FR | 15 | 3 | 0 | 3 | 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.