icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | Tri-City Storm | USHL | 9 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2006-07 | Fargo-Moorhead Jets | NAHL | 59 | 1 | 4 | 5 | 0.085 | 0.0314 | 0.0312 | 0.0897 | 0.0892 |
| 2007-08 | Fargo-Moorhead Jets | NAHL | 55 | 5 | 12 | 17 | 0.309 | 0.1148 | 0.1086 | 0.3273 | 0.3096 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Augsburg | D3 | MIAC | SR | 17 | 0 | 4 | 4 | 0.235 |
| 2010-11 | Augsburg | D3 | MIAC | JR | 22 | 1 | 4 | 5 | 0.227 |
| 2009-10 | Augsburg | D3 | — | SO | 24 | 0 | 0 | 0 | 0.000 |
| 2008-09 | Augsburg | D3 | — | FR | 22 | 0 | 6 | 6 | 0.273 |
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.