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 | Sioux City Musketeers | USHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2012-13 | Sioux City Musketeers | USHL | 51 | 9 | 16 | 25 | 0.490 | 0.3122 | 0.3174 | 1.4690 | 1.4934 |
| 2020-21 | Västerviks IK | Allsvenskan | 51 | 8 | 23 | 31 | 0.608 | — | — | — | — |
| 2021-22 | Skellefteå AIK | SHL | 52 | 1 | 18 | 19 | 0.365 | — | — | — | — |
| 2022-23 | Rögle BK | SHL | 44 | 7 | 21 | 28 | 0.636 | — | — | — | — |
| 2023-24 | Rögle BK | SHL | 50 | 7 | 21 | 28 | 0.560 | — | — | — | — |
| 2024-25 | Rögle BK | SHL | 35 | 5 | 15 | 20 | 0.571 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | UMass Lowell | D1 | HockeyEast | SR | 41 | 3 | 27 | 30 | 0.732 |
| 2015-16 | UMass Lowell | D1 | HockeyEast | JR | 40 | 4 | 16 | 20 | 0.500 |
| 2014-15 | UMass Lowell | D1 | HockeyEast | SO | 39 | 7 | 18 | 25 | 0.641 |
| 2013-14 | UMass Lowell | D1 | HockeyEast | FR | 41 | 3 | 14 | 17 | 0.415 |
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.