icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Haliburton County Huskies | OJHL | 5 | 0 | 1 | 1 | 0.200 | 0.0490 | 0.0545 | 0.1377 | 0.1531 |
| 2009-10 | Ajax Attack | OJHL | 9 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2010-11 | — | OJHL | 45 | 0 | 2 | 2 | 0.044 | 0.0109 | 0.0110 | 0.0306 | 0.0310 |
| 2011-12 | — | OJHL | 39 | 0 | 3 | 3 | 0.077 | 0.0188 | 0.0182 | 0.0529 | 0.0512 |
| 2012-13 | — | OJHL | 31 | 0 | 3 | 3 | 0.097 | 0.0237 | 0.0218 | 0.0666 | 0.0612 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Fredonia | D3 | SUNYAC | FR | 11 | 0 | 1 | 1 | 0.091 |
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.