icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Drayton Valley Thunder | AJHL | 39 | 5 | 8 | 13 | 0.333 | 0.1118 | 0.1073 | 0.3074 | 0.2950 |
| 2011-12 | Drayton Valley Thunder | AJHL | 35 | 3 | 6 | 9 | 0.257 | 0.0862 | 0.0783 | 0.2371 | 0.2155 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Concordia | D3 | MIAC | — | 10 | 0 | 3 | 3 | 0.300 |
| 2013-14 | Concordia (WI) | D3 | NCHA | SO | 10 | 0 | 3 | 3 | 0.300 |
| 2012-13 | Concordia | D3 | MIAC | — | 6 | 0 | 1 | 1 | 0.167 |
| 2012-13 | Concordia (WI) | D3 | NCHA | FR | 6 | 0 | 1 | 1 | 0.167 |
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.