icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | W | L | SV% | GAA | SO | SVe Factor | Age-Adj SV% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | — | BCHL | 5 | 3 | 2 | 85.1% | 4.01 | 0 | 0.9990 | 83.5% |
| 2025-26 | Houston Bulls | NAHL | 20 | 9 | 7 | 90.6% | 2.99 | 2 | 0.9843 | 87.9% |
| 2025-26 | Lincoln Stars | USHL | 1 | 0 | 1 | 90.4% | 5.00 | 0 | 0.9987 | 86.1% |
| 2024-25 | — | NCDC | 38 | 28 | 6 | 93.2% | 1.96 | 5 | 0.9400 | 89.8% |
| 2023-24 | — | NAHL | 1 | 0 | 0 | 100.0% | — | 0 | 0.9843 | 97.0% |
| Season | School | Div | GP | W | L | SV% | GAA | SO |
|---|---|---|---|---|---|---|---|---|
| 2026-27 | Merrimack | D1 | — | — | — | — | — | — |
Historical goalies with similar age-adjusted SVe profiles who went on to play NCAA D1.
| Name | Junior League | Junior SV% | Adj SVe | College | NCAA SV% | NCAA GAA |
|---|---|---|---|---|---|---|
| Christian Manz | USHL | 88.0% | 83.7% | Augustana | 89.4% | 2.84 |
| Dylan Silverstein | USHL | 88.8% | 84.7% | Quinnipiac | 90.3% | 2.25 |
| Joey Lamoreaux | USHL | 89.7% | 85.6% | St. Cloud State | 89.3% | 3.25 |
| Troy Kobryn | NCDC | 92.2% | 85.0% | Merrimack | 89.3% | 3.30 |
| Justin Robbins | USHL | 87.4% | 83.8% | Arizona State | 92.3% | 4.00 |
Historical goalies with similar age-adjusted SVe profiles who went on to play NCAA D2/D3.
| Name | Junior League | Junior SV% | Adj SVe | College | Div | SV% | GAA |
|---|---|---|---|---|---|---|---|
| Dylan Dewatcher | OJHL | 86.3% | 85.2% | Western Connecticut | D3 | 85.8% | 5.91 |
| Nolan Mahaffey | NCDC | 87.4% | 86.2% | Lawrence | D3 | 90.5% | 3.39 |
| Owen Carlson | NA3HL | 92.1% | 84.2% | Lawrence | D3 | 90.2% | 3.41 |
| Clément Labillois | SJHL | 88.9% | 85.2% | Assumption | D2 | 93.6% | 2.08 |
| Brandon Shantz | NA3HL | 89.7% | 82.9% | Plymouth State | D3 | 92.1% | 3.00 |
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.