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 | Team Kuortane | SMLIIGA-W | 16 | 4 | 2 | 6 | 0.375 | 0.1422 | 0.1422 | — | — |
| 2012-13 | Team Kuortane | SMLIIGA-W | 23 | 5 | 3 | 8 | 0.348 | 0.1319 | 0.1319 | — | — |
| 2013-14 | Team Kuortane | SMLIIGA-W | 24 | 11 | 10 | 21 | 0.875 | 0.3318 | 0.3318 | — | — |
| 2014-15 | — | SMLIIGA-W | 23 | 6 | 3 | 9 | 0.391 | 0.1484 | 0.1484 | — | — |
| 2019-20 | Linköping HC | SDHL | 8 | 1 | 0 | 1 | 0.125 | 0.1444 | 0.1444 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Mercyhurst | D1 | CHA-W | SR | 31 | 6 | 11 | 17 | 0.548 |
| 2017-18 | Mercyhurst | D1 | CHA-W | JR | 33 | 14 | 13 | 27 | 0.818 |
| 2016-17 | North Dakota | D1 | — | — | 32 | 3 | 4 | 7 | 0.219 |
| 2015-16 | North Dakota | D1 | — | — | 33 | 4 | 2 | 6 | 0.182 |
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.