| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | Cleveland Barons | NAHL | 54 | 14 | 23 | 37 | 0.685 | 0.2517 | 0.2852 | 0.7232 | 0.8196 |
| 2005-06 | Cleveland Barons | NAHL | 57 | 31 | 51 | 82 | 1.439 | 0.5285 | 0.5727 | 9.3285 | 9.1630 |
| 2006-07 | Lincoln Stars | USHL | 56 | 23 | 48 | 71 | 1.268 | 0.7479 | 0.7604 | 3.8080 | 3.8718 |
| 2020-21 | Leksands IF | SHL | 46 | 14 | 32 | 46 | 1.000 | 2.5000 | 2.5000 | 13.0486 | 13.0486 |
| 2021-22 | Leksands IF | SHL | 50 | 11 | 37 | 48 | 0.960 | 2.4000 | 1.5879 | 12.5267 | 8.2877 |
| 2022-23 | Leksands IF | SHL | 41 | 13 | 14 | 27 | 0.658 | 1.6462 | 1.0503 | 8.5925 | 5.4822 |
| 2023-24 | Tappara | Liiga | 60 | 17 | 31 | 48 | 0.800 | 2.0000 | 1.0930 | 6.8769 | 3.7581 |
| 2024-25 | IK Oskarshamn | Allsvenskan | 35 | 4 | 15 | 19 | 0.543 | 1.3573 | 0.6786 | 5.0934 | 2.5467 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Miami | D1 | CCHA-orig | SR | 39 | 19 | 38 | 57 | 1.462 |
| 2009-10 | Miami | D1 | NCHC | JR | 44 | 15 | 28 | 43 | 0.977 |
| 2008-09 | Miami | D1 | NCHC | SO | 40 | 20 | 22 | 42 | 1.050 |
| 2007-08 | Miami | D1 | NCHC | FR | 33 | 15 | 26 | 41 | 1.242 |
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.