icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Des Moines Buccaneers | USHL | 58 | 10 | 23 | 33 | 0.569 | 0.3498 | 0.3941 | 1.6764 | 1.8889 |
| 2006-07 | Des Moines Buccaneers | USHL | 56 | 22 | 45 | 67 | 1.196 | 0.7354 | 0.7908 | 3.5248 | 3.7904 |
| 2014-15 | — | KHL | 53 | 7 | 14 | 21 | 0.396 | 0.9905 | 1.0963 | — | — |
| 2016-17 | Dinamo Minsk | KHL | 18 | 8 | 4 | 12 | 0.667 | 1.6667 | 1.6627 | — | — |
| 2017-18 | Brynäs IF | SHL | 51 | 19 | 26 | 45 | 0.882 | 2.2060 | 1.9711 | — | — |
| 2018-19 | Örebro HK | SHL | 31 | 12 | 16 | 28 | 0.903 | 2.2580 | 1.9054 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Michigan | D1 | — | SO | 39 | 13 | 37 | 50 | 1.282 |
| 2007-08 | Michigan | D1 | — | FR | 43 | 10 | 34 | 44 | 1.023 |
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.