icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | St. Louis Jr. Blues | NA3HL | 40 | 28 | 25 | 53 | 1.325 | 0.1597 | 0.1807 | 0.5294 | 0.6108 |
| 2013-14 | — | NAHL | 30 | 2 | 1 | 3 | 0.100 | 0.0371 | 0.0409 | 0.1059 | 0.1169 |
| 2014-15 | Amarillo Bulls | NAHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2015-16 | Boston Jr. Rangers | EHL | 40 | 17 | 13 | 30 | 0.750 | 0.1610 | 0.1638 | 0.3673 | 0.3738 |
| 2016-17 | Philadelphia Revolution | EHL | 17 | 11 | 8 | 19 | 1.118 | 0.2398 | 0.2332 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Bryn Athyn | D3 | — | SO | 1 | 1 | 0 | 1 | 1.000 |
| 2017-18 | Bryn Athyn | D3 | — | FR | 18 | 7 | 7 | 14 | 0.778 |
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.