icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Leksands IF | SDHL | 7 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2012-13 | Leksands IF | SDHL | 18 | 0 | 2 | 2 | 0.111 | 0.1283 | 0.1283 | — | — |
| 2013-14 | Leksands IF | SDHL | 21 | 0 | 1 | 1 | 0.048 | 0.0550 | 0.0550 | — | — |
| 2014-15 | Leksands IF | SDHL | 27 | 5 | 2 | 7 | 0.259 | 0.2995 | 0.2995 | — | — |
| 2015-16 | Leksands IF | SDHL | 24 | 1 | 5 | 6 | 0.250 | 0.2888 | 0.2888 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Syracuse | D1 | — | — | 28 | 1 | 2 | 3 | 0.107 |
| 2018-19 | Syracuse | D1 | — | — | 37 | 1 | 0 | 1 | 0.027 |
| 2017-18 | Syracuse | D1 | CHA-W | — | 34 | 0 | 2 | 2 | 0.059 |
| 2016-17 | Syracuse | D1 | CHA-W | — | 18 | 0 | 1 | 1 | 0.056 |
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.