icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2001-02 | Hamilton Red Wings | OJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2002-03 | Hamilton Red Wings | OJHL | 44 | 9 | 17 | 26 | 0.591 | 0.1651 | 0.1666 | 0.4078 | 0.4116 |
| 2003-04 | Hamilton Red Wings | OJHL | 49 | 11 | 24 | 35 | 0.714 | 0.1996 | 0.1925 | 0.4929 | 0.4753 |
| 2004-05 | Hamilton Red Wings | OJHL | 49 | 12 | 28 | 40 | 0.816 | 0.2281 | 0.2084 | 0.5633 | 0.5147 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2006-07 | SUNY Plattsburgh | D3 | — | SO | 1 | 0 | 0 | 0 | 0.000 |
| 2005-06 | SUNY Plattsburgh | D3 | — | FR | 12 | 1 | 8 | 9 | 0.750 |
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.