icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2007-08 | Mississauga Chiefs | CWHL | 1 | 1 | 0 | 1 | 1.000 | — | — | — | — |
| 2012-13 | Markham Thunder | CWHL | 24 | 6 | 18 | 24 | 1.000 | — | — | — | — |
| 2015-16 | Markham Thunder | CWHL | 15 | 1 | 7 | 8 | 0.533 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Ohio State | D1 | WCHA-W | SR | 32 | 12 | 27 | 39 | 1.219 |
| 2010-11 | Ohio State | D1 | WCHA-W | JR | 33 | 14 | 33 | 47 | 1.424 |
| 2009-10 | Ohio State | D1 | WCHA-W | SO | 37 | 10 | 35 | 45 | 1.216 |
| 2008-09 | Ohio State | D1 | WCHA-W | FR | 36 | 11 | 28 | 39 | 1.083 |
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.