icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | — | NAHL | 57 | 3 | 5 | 8 | 0.140 | 0.0516 | 0.0548 | 0.1482 | 0.1574 |
| 2012-13 | Muskegon Lumberjacks | USHL | 57 | 1 | 3 | 4 | 0.070 | 0.0414 | 0.0403 | 0.2108 | 0.2052 |
| 2013-14 | Indiana Ice | USHL | 56 | 2 | 5 | 7 | 0.125 | 0.0737 | 0.0683 | 0.3754 | 0.3478 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Army | D1 | AHA | SR | 35 | 1 | 3 | 4 | 0.114 |
| 2016-17 | Army | D1 | AHA | JR | 36 | 1 | 3 | 4 | 0.111 |
| 2015-16 | Army | D1 | AHA | SO | 33 | 1 | 6 | 7 | 0.212 |
| 2014-15 | Army | D1 | AHA | FR | 31 | 1 | 4 | 5 | 0.161 |
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.