icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | IF Troja-Ljungby U20 | SHL-J20 | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2010-11 | IF Troja-Ljungby U20 | SHL-J20 | 6 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2011-12 | Sioux City Musketeers | USHL | 16 | 1 | 0 | 1 | 0.062 | 0.0398 | 0.0400 | 0.1873 | 0.1885 |
| 2012-13 | — | NAHL | 48 | 10 | 15 | 25 | 0.521 | 0.1934 | 0.1918 | 0.5514 | 0.5468 |
| 2013-14 | Janesville Jets | NAHL | 57 | 24 | 23 | 47 | 0.825 | 0.3062 | 0.2883 | 0.8731 | 0.8220 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Maine | D1 | HockeyEast | JR | 8 | 0 | 1 | 1 | 0.125 |
| 2014-15 | Minnesota | D1 | BigTen | FR | 5 | 0 | 0 | 0 | 0.000 |
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.