icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Canterbury | NE-Prep-Girls | 16 | 3 | 3 | 6 | 0.380 | 0.2358 | 0.2358 | — | — |
| 2014-15 | Connecticut Polar Bears 19U | 19U-AAA-W | 25 | 6 | 2 | 8 | 0.320 | 0.1090 | 0.1090 | — | — |
| 2015-16 | Canterbury | NE-Prep-Girls | 27 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2016-17 | Connecticut Polar Bears 19U | 19U-AAA-W | 39 | 10 | 9 | 19 | 0.487 | 0.1659 | 0.1659 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | William Smith | D3 | NEHC | SR | 23 | 1 | 2 | 3 | 0.130 |
| 2020-21 | William Smith | D3 | NEHC | JR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | William Smith | D3 | NEHC | SO | 25 | 1 | 4 | 5 | 0.200 |
| 2018-19 | William Smith | D3 | NEHC | FR | 28 | 2 | 8 | 10 | 0.357 |
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.