icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | Indiana Ice | USHL | 49 | 6 | 15 | 21 | 0.429 | 0.2635 | 0.2904 | 1.2627 | 1.3916 |
| 2005-06 | Indiana Ice | USHL | 49 | 21 | 32 | 53 | 1.082 | 0.6649 | 0.6979 | 3.1866 | 3.3449 |
| 2006-07 | Indiana Ice | USHL | 57 | 24 | 39 | 63 | 1.105 | 0.6794 | 0.6783 | 3.2564 | 3.2509 |
| 2014-15 | EHC München | DEL | 51 | 13 | 38 | 51 | 1.000 | 1.0936 | 1.1830 | — | — |
| 2015-16 | Linköping HC | SHL | 41 | 14 | 27 | 41 | 1.000 | 2.5000 | 2.2678 | — | — |
| 2016-17 | Linköping HC | SHL | 49 | 16 | 21 | 37 | 0.755 | 1.8878 | 1.6017 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | St. Cloud State | D1 | WCHA-orig | SR | 38 | 10 | 26 | 36 | 0.947 |
| 2009-10 | St. Cloud State | D1 | — | JR | 41 | 20 | 29 | 49 | 1.195 |
| 2008-09 | St. Cloud State | D1 | — | SO | 38 | 17 | 31 | 48 | 1.263 |
| 2007-08 | St. Cloud State | D1 | — | FR | 39 | 18 | 27 | 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.