icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2001-02 | USNTDP Juniors | USHL | 12 | 4 | 3 | 7 | 0.583 | 0.3441 | 0.3803 | 1.7519 | 1.9360 |
| 2015-16 | Admiral Vladivostok | KHL | 23 | 6 | 10 | 16 | 0.696 | 1.7392 | 1.3915 | 9.5858 | 7.6695 |
| 2016-17 | Avangard Omsk | KHL | 19 | 4 | 5 | 9 | 0.474 | 1.1843 | 0.8980 | 6.5270 | 4.9494 |
| 2018-19 | Dinamo Minsk | KHL | 18 | 2 | 1 | 3 | 0.167 | 0.4167 | 0.2797 | 2.2969 | 1.5418 |
| 2023-24 | Eisbären Regensburg | DEL2 | 16 | 9 | 5 | 14 | 0.875 | 1.1721 | 0.5860 | 1.5701 | 0.7851 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Michigan State | D1 | BigTen | SR | 36 | 13 | 22 | 35 | 0.972 |
| 2004-05 | Michigan State | D1 | BigTen | JR | 29 | 7 | 9 | 16 | 0.552 |
| 2003-04 | Michigan State | D1 | BigTen | SO | 30 | 8 | 10 | 18 | 0.600 |
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.