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 | St. Louis Jr. Blues | NA3HL | 27 | 9 | 11 | 20 | 0.741 | 0.0893 | 0.0862 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Manhattanville | D3 | UCHC | SR | 2 | 0 | 0 | 0 | 0.000 |
| 2014-15 | Manhattanville | D3 | UCHC | JR | 16 | 1 | 0 | 1 | 0.062 |
| 2013-14 | Manhattanville | D3 | UCHC | SO | 9 | 0 | 0 | 0 | 0.000 |
| 2012-13 | Manhattanville | D3 | UCHC | FR | 1 | 0 | 0 | 0 | 0.000 |
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.