icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2003-04 | USNTDP Juniors | NAHL | 10 | 3 | 4 | 7 | 0.700 | 0.2486 | 0.2638 | 0.7349 | 0.7797 |
| 2013-14 | Linköping HC | SHL | 53 | 30 | 18 | 48 | 0.906 | 2.2642 | 2.0572 | — | — |
| 2014-15 | Avangard Omsk | KHL | 29 | 7 | 9 | 16 | 0.552 | 1.3792 | 1.2772 | — | — |
| 2016-17 | Adler Mannheim | DEL | 50 | 25 | 16 | 41 | 0.820 | 2.0500 | 1.8598 | — | — |
| 2017-18 | Adler Mannheim | DEL | 47 | 23 | 23 | 46 | 0.979 | 2.4468 | 2.1768 | — | — |
| 2018-19 | Adler Mannheim | DEL | 46 | 21 | 27 | 48 | 1.044 | 2.6088 | 2.0841 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2007-08 | Michigan | D1 | — | SR | 39 | 30 | 26 | 56 | 1.436 |
| 2006-07 | Michigan | D1 | — | JR | 41 | 18 | 27 | 45 | 1.098 |
| 2005-06 | Michigan | D1 | — | SO | 41 | 12 | 26 | 38 | 0.927 |
| 2004-05 | Michigan | D1 | — | FR | 42 | 18 | 17 | 35 | 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.