| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Djurgårdens IF U20 | SHL-J20 | 22 | 5 | 4 | 9 | 0.409 | 0.2274 | 0.2377 | 0.5451 | 0.5699 |
| 2013-14 | Djurgårdens IF U20 | SuperElit | 42 | 7 | 22 | 29 | 0.691 | 0.2725 | 0.2754 | 0.9378 | 0.9477 |
| 2014-15 | Lone Star Brahmas | NAHL | 51 | 18 | 29 | 47 | 0.922 | 0.3386 | 0.3314 | 0.9727 | 0.9521 |
| 2015-16 | Lone Star Brahmas | NAHL | 28 | 8 | 14 | 22 | 0.786 | 0.2887 | 0.2698 | 0.8293 | 0.7751 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Ferris State | D1 | WCHA | SR | 16 | 1 | 2 | 3 | 0.188 |
| 2018-19 | Ferris State | D1 | WCHA | SR | 24 | 2 | 8 | 10 | 0.417 |
| 2016-17 | Boston University | D1 | HockeyEast | — | 16 | 0 | 4 | 4 | 0.250 |
| 2015-16 | Boston University | D1 | HockeyEast | — | 21 | 2 | 3 | 5 | 0.238 |
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.