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 | Malmö Redhawks U20 | SHL-J20 | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2010-11 | Djurgårdens IF U20 | SHL-J20 | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2011-12 | Djurgårdens IF U20 | SuperElit | 42 | 4 | 13 | 17 | 0.405 | 0.1597 | 0.1610 | 0.5498 | 0.5542 |
| 2012-13 | — | USHL | 60 | 7 | 15 | 22 | 0.367 | 0.2163 | 0.2042 | 1.1013 | 1.0397 |
| 2013-14 | Chicago Steel | USHL | 40 | 6 | 13 | 19 | 0.475 | 0.2802 | 0.2514 | 1.4266 | 1.2800 |
| 2021-22 | HC Vita Hästen | Allsvenskan | 22 | 2 | 8 | 10 | 0.455 | 1.1362 | 0.9506 | 4.2641 | 3.5674 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Ohio State | D1 | BigTen | SO | 20 | 0 | 4 | 4 | 0.200 |
| 2014-15 | Ohio State | D1 | BigTen | FR | 17 | 2 | 1 | 3 | 0.176 |
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.