| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2006-07 | Notre Dame Hounds | SJHL | 9 | 6 | 4 | 10 | 1.111 | 0.3384 | 0.3789 | 0.8234 | 0.9219 |
| 2007-08 | Notre Dame Hounds | SJHL | 55 | 29 | 34 | 63 | 1.145 | 0.3489 | 0.3725 | 0.8489 | 0.9063 |
| 2008-09 | Notre Dame Hounds | SJHL | 48 | 39 | 49 | 88 | 1.833 | 0.5584 | 0.5683 | 1.3587 | 1.3827 |
| 2016-17 | Heilbronner Falken | DEL2 | 50 | 17 | 32 | 49 | 0.980 | 0.4228 | 0.4567 | — | — |
| 2018-19 | Fischtown Pinguins | DEL | 52 | 10 | 13 | 23 | 0.442 | 0.4837 | 0.4820 | — | — |
| 2019-20 | Nürnberg Ice Tigers | DEL | 31 | 5 | 5 | 10 | 0.323 | 0.3528 | 0.3528 | — | — |
| 2020-21 | Lausitzer Füchse | DEL2 | 42 | 17 | 29 | 46 | 1.095 | 0.4725 | 0.4725 | — | — |
| 2021-22 | Löwen Frankfurt | DEL2 | 52 | 26 | 33 | 59 | 1.135 | 0.4895 | 0.4043 | — | — |
| 2022-23 | Löwen Frankfurt | DEL | 46 | 8 | 14 | 22 | 0.478 | 0.5231 | 0.4120 | — | — |
| 2023-24 | Löwen Frankfurt | DEL | 29 | 0 | 8 | 8 | 0.276 | 0.3017 | 0.2221 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Colorado College | D1 | WCHA-orig | — | 41 | 20 | 33 | 53 | 1.293 |
| 2011-12 | Colorado College | D1 | WCHA-orig | — | 35 | 23 | 17 | 40 | 1.143 |
| 2010-11 | Colorado College | D1 | WCHA-orig | — | 41 | 10 | 28 | 38 | 0.927 |
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.