icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2002-03 | Tri-City Storm | USHL | 60 | 29 | 21 | 50 | 0.833 | 0.4916 | 0.4775 | 2.4551 | 2.3849 |
| 2003-04 | Tri-City Storm | USHL | 60 | 31 | 38 | 69 | 1.150 | 0.6784 | 0.6232 | 3.3881 | 3.1125 |
| 2013-14 | Medvescak Zagreb | KHL | 54 | 11 | 20 | 31 | 0.574 | 1.4353 | 1.2099 | — | — |
| 2014-15 | Medvescak Zagreb | KHL | 60 | 18 | 18 | 36 | 0.600 | 1.5000 | 1.1938 | — | — |
| 2015-16 | MoDo Hockey | SHL | 48 | 12 | 10 | 22 | 0.458 | 1.1458 | 0.7715 | — | — |
| 2017-18 | Ilves | Liiga | 6 | 2 | 1 | 3 | 0.500 | 1.2500 | 0.7241 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Nebraska Omaha | D1 | — | SO | 41 | 27 | 23 | 50 | 1.220 |
| 2004-05 | Nebraska Omaha | D1 | — | FR | 39 | 19 | 26 | 45 | 1.154 |
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.