icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2003-04 | — | NAHL | 46 | 6 | 6 | 12 | 0.261 | 0.0927 | 0.0991 | 0.2739 | 0.2927 |
| 2004-05 | Bay State Breakers | EJHL | 52 | 5 | 16 | 21 | 0.404 | 0.1196 | 0.1208 | — | — |
| 2005-06 | Bay State Breakers | EJHL | 45 | 6 | 6 | 12 | 0.267 | 0.0790 | 0.0760 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Suffolk | D3 | — | SR | 26 | 15 | 11 | 26 | 1.000 |
| 2008-09 | Suffolk | D3 | — | JR | 24 | 8 | 4 | 12 | 0.500 |
| 2007-08 | SUNY Cortland | D3 | — | SO | 9 | 0 | 0 | 0 | 0.000 |
| 2006-07 | SUNY Cortland | D3 | — | FR | 25 | 0 | 4 | 4 | 0.160 |
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.