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 | Tingsryds AIF U20 | SHL-J20 | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2011-12 | Tingsryds AIF U20 | SHL-J20 | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2012-13 | Kenai River Brown Bears | NAHL | 48 | 11 | 18 | 29 | 0.604 | 0.2243 | 0.2291 | 0.6397 | 0.6535 |
| 2013-14 | Kenai River Brown Bears | NAHL | 58 | 14 | 29 | 43 | 0.741 | 0.2753 | 0.2674 | 0.7850 | 0.7625 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Niagara | D1 | AHA | SO | 26 | 3 | 5 | 8 | 0.308 |
| 2014-15 | Niagara | D1 | AHA | FR | 18 | 3 | 4 | 7 | 0.389 |
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.