| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Medvescak Zagreb | KHL | 34 | 2 | 3 | 5 | 0.147 | 0.3678 | 0.4065 | 2.0268 | 2.2398 |
| 2016-17 | Medvescak Zagreb | KHL | 58 | 2 | 3 | 5 | 0.086 | 0.2155 | 0.2291 | 1.1877 | 1.2629 |
| 2018-19 | Adler Mannheim | DEL | 33 | 6 | 11 | 17 | 0.515 | 1.2880 | 1.3463 | 4.3680 | 4.5657 |
| 2019-20 | Adler Mannheim | DEL | 29 | 1 | 8 | 9 | 0.310 | 0.7758 | 0.7758 | 2.6308 | 2.6308 |
| 2020-21 | Adler Mannheim | DEL | 35 | 4 | 17 | 21 | 0.600 | 1.5000 | 1.5000 | 5.0869 | 5.0869 |
| 2021-22 | Adler Mannheim | DEL | 50 | 6 | 10 | 16 | 0.320 | 0.8000 | 0.6926 | 2.7130 | 2.3489 |
| 2022-23 | Adler Mannheim | DEL | 49 | 2 | 11 | 13 | 0.265 | 0.6632 | 0.5547 | 2.2493 | 1.8813 |
| 2023-24 | Schwenninger Wild Wings | DEL | 41 | 4 | 15 | 19 | 0.463 | 1.1585 | 0.9095 | 3.9288 | 3.0845 |
| 2024-25 | Schwenninger Wild Wings | DEL | 42 | 2 | 10 | 12 | 0.286 | 0.7143 | 0.5280 | 2.4222 | 1.7904 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Colgate | D1 | ECAC | SR | 36 | 3 | 11 | 14 | 0.389 |
| 2011-12 | Colgate | D1 | ECAC | JR | 37 | 4 | 10 | 14 | 0.378 |
| 2010-11 | Colgate | D1 | ECAC | SO | 41 | 5 | 6 | 11 | 0.268 |
| 2009-10 | Colgate | D1 | ECAC | FR | 33 | 3 | 16 | 19 | 0.576 |
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.