| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Lausitzer Füchse | DEL2 | 26 | 7 | 15 | 22 | 0.846 | 1.1336 | 1.1721 | 1.5184 | 1.5700 |
| 2006-07 | Lausitzer Füchse | DEL2 | 26 | 7 | 15 | 22 | 0.846 | 1.1336 | 1.1722 | 1.5184 | 1.5701 |
| 2007-08 | Lausitzer Füchse | DEL2 | 26 | 7 | 15 | 22 | 0.846 | 1.1336 | 1.1722 | 1.5184 | 1.5701 |
| 2008-09 | Lausitzer Füchse | DEL2 | 26 | 7 | 15 | 22 | 0.846 | 1.1336 | 1.1722 | 1.5184 | 1.5701 |
| 2009-10 | Lausitzer Füchse | DEL2 | 26 | 7 | 15 | 22 | 0.846 | 1.1336 | 1.1721 | 1.5184 | 1.5700 |
| 2010-11 | Hamilton Red Wings | OJHL | 3 | 1 | 0 | 1 | 0.333 | 0.0817 | 0.0956 | 0.2295 | 0.2686 |
| 2011-12 | Hamilton Red Wings | OJHL | 47 | 10 | 12 | 22 | 0.468 | 0.1147 | 0.1292 | 0.3223 | 0.3630 |
| 2012-13 | Hamilton Red Wings | OJHL | 40 | 17 | 28 | 45 | 1.125 | 0.2757 | 0.2968 | 0.7746 | 0.8337 |
| 2013-14 | Collingwood Blues | OJHL | 51 | 21 | 39 | 60 | 1.177 | 0.2884 | 0.2957 | 0.8100 | 0.8305 |
| 2014-15 | Collingwood Blues | OJHL | 46 | 43 | 34 | 77 | 1.674 | 0.4103 | 0.3995 | 1.1525 | 1.1221 |
| 2015-16 | Lincoln Stars | USHL | 27 | 9 | 15 | 24 | 0.889 | 0.5244 | 0.4815 | 2.6697 | 2.4512 |
| 2025-26 | Lausitzer Füchse | DEL2 | 26 | 7 | 15 | 22 | 0.846 | 1.1336 | 1.1721 | 1.5184 | 1.5700 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Bemidji State | D1 | WCHA | SR | 37 | 19 | 15 | 34 | 0.919 |
| 2018-19 | Bemidji State | D1 | WCHA | JR | 37 | 8 | 13 | 21 | 0.568 |
| 2017-18 | Bemidji State | D1 | WCHA | SO | 38 | 8 | 18 | 26 | 0.684 |
| 2016-17 | Bemidji State | D1 | WCHA | — | 0 | 0 | 0 | 0 | 0.000 |
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.