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 | Cedar Rapids RoughRiders | USHL | 35 | 1 | 7 | 8 | 0.229 | 0.1349 | 0.1396 | 0.6735 | 0.6969 |
| 2004-05 | Chicago Steel | USHL | 37 | 6 | 2 | 8 | 0.216 | 0.1275 | 0.1255 | 0.6370 | 0.6271 |
| 2005-06 | Chicago Steel | USHL | 56 | 28 | 24 | 52 | 0.929 | 0.5478 | 0.5105 | 2.7358 | 2.5496 |
| 2013-14 | Medvescak Zagreb | KHL | 14 | 1 | 0 | 1 | 0.071 | 0.1785 | 0.1712 | — | — |
| 2014-15 | Medvescak Zagreb | KHL | 50 | 4 | 1 | 5 | 0.100 | 0.2500 | 0.2280 | — | — |
| 2015-16 | Medvescak Zagreb | KHL | 44 | 2 | 5 | 7 | 0.159 | 0.3977 | 0.3359 | — | — |
| 2016-17 | Medvescak Zagreb | KHL | 49 | 1 | 4 | 5 | 0.102 | 0.2550 | 0.2047 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Lake Superior State | D1 | — | JR | 35 | 12 | 12 | 24 | 0.686 |
| 2007-08 | Lake Superior State | D1 | — | SO | 36 | 17 | 8 | 25 | 0.694 |
| 2006-07 | Lake Superior State | D1 | — | FR | 42 | 15 | 7 | 22 | 0.524 |
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.