icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Frölunda HC U20 | SHL-J20 | 11 | 0 | 1 | 1 | 0.091 | 0.0507 | 0.0549 | 0.1310 | 0.1418 |
| 2011-12 | Frölunda HC U20 | SuperElit | 42 | 3 | 15 | 18 | 0.429 | 0.1650 | 0.1728 | 0.5572 | 0.5837 |
| 2012-13 | — | USHL | 45 | 0 | 7 | 7 | 0.156 | 0.0991 | 0.0975 | 0.4663 | 0.4587 |
| 2013-14 | Omaha Lancers | USHL | 43 | 3 | 13 | 16 | 0.372 | 0.2370 | 0.2220 | 1.1151 | 1.0447 |
| 2014-15 | Omaha Lancers | USHL | 43 | 3 | 13 | 16 | 0.372 | 0.2370 | 0.2104 | 1.1151 | 0.9898 |
| 2023-24 | MoDo Hockey | SHL | 44 | 1 | 2 | 3 | 0.068 | — | — | — | — |
| 2024-25 | Västerås IK | Allsvenskan | 42 | 1 | 3 | 4 | 0.095 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | UMass Lowell | D1 | HockeyEast | JR | 19 | 1 | 1 | 2 | 0.105 |
| 2016-17 | UMass Lowell | D1 | HockeyEast | SO | 18 | 0 | 1 | 1 | 0.056 |
| 2015-16 | UMass Lowell | D1 | HockeyEast | FR | 35 | 0 | 9 | 9 | 0.257 |
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.