| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Vernon Vipers | BCHL | 60 | 25 | 25 | 50 | 0.833 | 0.3211 | 0.3302 | 1.2127 | 1.2471 |
| 2009-10 | Vernon Vipers | BCHL | 59 | 30 | 46 | 76 | 1.288 | 0.4963 | 0.4833 | 1.8746 | 1.8254 |
| 2014-15 | EC Kassel Huskies | DEL2 | 51 | 27 | 54 | 81 | 1.588 | 2.1276 | 2.4805 | 2.8499 | 3.3227 |
| 2015-16 | Krefeld Pinguine | DEL | 52 | 10 | 15 | 25 | 0.481 | 1.2020 | 1.3734 | 4.0763 | 4.6577 |
| 2016-17 | Krefeld Pinguine | DEL | 52 | 16 | 18 | 34 | 0.654 | 1.6345 | 1.8363 | 5.5430 | 6.2274 |
| 2017-18 | ERC Ingolstadt | DEL | 52 | 17 | 18 | 35 | 0.673 | 1.6827 | 1.8610 | 5.7067 | 6.3113 |
| 2018-19 | ERC Ingolstadt | DEL | 52 | 20 | 25 | 45 | 0.865 | 2.1635 | 2.1963 | 7.3370 | 7.4483 |
| 2019-20 | ERC Ingolstadt | DEL | 49 | 9 | 30 | 39 | 0.796 | 1.9898 | 1.9898 | 6.7478 | 6.7478 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Merrimack | D1 | NE10 | — | 29 | 12 | 13 | 25 | 0.862 |
| 2012-13 | Merrimack | D1 | NE10 | — | 38 | 17 | 21 | 38 | 1.000 |
| 2011-12 | Merrimack | D1 | NE10 | — | 35 | 10 | 15 | 25 | 0.714 |
| 2010-11 | Merrimack | D1 | NE10 | — | 36 | 14 | 16 | 30 | 0.833 |
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.