icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | HIFK U20 | SM-Liiga-Jr | 45 | 7 | 20 | 27 | 0.600 | 0.3252 | 0.3397 | 0.9074 | 0.9478 |
| 2015-16 | Sioux City Musketeers | USHL | 15 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2020-21 | KalPa | Liiga | 24 | 2 | 3 | 5 | 0.208 | 0.5208 | 0.5208 | 1.7906 | 1.7906 |
| 2021-22 | KalPa | Liiga | 43 | 3 | 5 | 8 | 0.186 | 0.4650 | 0.4838 | 1.5989 | 1.6636 |
| 2022-23 | KalPa | Liiga | 7 | 0 | 3 | 3 | 0.429 | 1.0715 | 1.0910 | 3.6843 | 3.7514 |
| 2023-24 | KalPa | Liiga | 42 | 5 | 2 | 7 | 0.167 | 0.4167 | 0.4111 | 1.4330 | 1.4138 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Merrimack | D1 | HockeyEast | SR | 34 | 6 | 15 | 21 | 0.618 |
| 2018-19 | Merrimack | D1 | HockeyEast | JR | 33 | 4 | 12 | 16 | 0.485 |
| 2017-18 | Merrimack | D1 | HockeyEast | SO | 36 | 8 | 13 | 21 | 0.583 |
| 2016-17 | Merrimack | D1 | HockeyEast | FR | 36 | 8 | 10 | 18 | 0.500 |
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.