Goalies Β· ADP-Anchored Scale Β· Free
Goalies ranked by CaliberScore using ADP-anchored scaling β an affine transform places the top goalie near where the 20th skater sits, matching real-draft pricing. Goalie stats (Wins, GAA, SV%, Saves) are never mixed with skater scoring; they're evaluated separately and rescaled for direct comparison.
1 Β· VORP baseline. CaliberScore measures value above replacement β the 60th-percentile player at each position β not above the league average. This anchors rankings to what is actually available on waivers, not to a theoretical mid-pack player.
2 Β· Robust spread. Long-tail stats like HIT, BLK, PIM and SHO use IQR / 1.35 for spread instead of standard deviation. This stops elite shot-blockers and hit leaders from being clipped by outlier-heavy distributions.
3 Β· Category scarcity weights. Each category is weighted by 1 / CV(top_N) β rare production like goals counts more than common production like hits. Weights normalize so they sum to the number of active categories, preserving relative scoring scale.
4 Β· Positional scarcity. Defensemen receive no positional bonus. BLK already rewards block-heavy D, and adding a positional multiplier double-counts them above elite forwards. D-men rank on stats alone.
5 Β· ADP-anchored goalie scaling. Goalies and skaters live on different statistical scales by default. CaliberScore applies an affine transform that maps the #1 goalie to roughly the #20 skater and the #24 goalie to a replacement-level skater β so the two pools can be compared directly in head-to-head trades.
Last updated: June 10, 2026 at 3:07 AM EDT
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Connect League βTop 5 Β· H2H Cats
1Wedgewood
G Β· COL
2Vasilevskiy
G Β· TBL
3Forsberg
G Β· LAK
4Luukkonen
G Β· BUF
5Hofer
G Β· STL| Rnkβ² | Tm | Player | Pos | Tier | CS | GP | W | GAA | SV% | SV | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1β | COL | Scott Wedgewood | G | Tier 1 | β οΈ | 9.70 | 45 | 31 | 2.02 | 0.921 | 1007 | ||
2β | TBL | Andrei Vasilevskiy | G | Tier 1 | π₯ | 7.66 | 58 | 39 | 2.31 | 0.912 | 1353 | ||
3β | LAK | Anton Forsberg | G | Tier 1 | β οΈ | 7.27 | 36 | 16 | 2.57 | 0.910 | 866 | ||
4β | BUF | Ukko-Pekka Luukkonen | G | Tier 1 | β οΈ | 7.13 | 35 | 22 | 2.52 | 0.910 | 846 | ||
5β | STL | Joel Hofer | G | Tier 2 | β οΈ | 6.95 | 46 | 24 | 2.61 | 0.910 | 1137 | ||
6β | BOS | Jeremy Swayman | G | Tier 2 | π₯ | 6.70 | 55 | 31 | 2.71 | 0.908 | 1426 | ||
7β | WSH | Logan Thompson | G | Tier 2 | π₯ | 6.68 | 58 | 31 | 2.44 | 0.912 | 1447 | ||
8β | SEA | Philipp Grubauer | G | Tier 2 | β οΈ | 6.53 | 32 | 13 | 2.65 | 0.909 | 787 | ||
9β | MTL | Jakub Dobes | G | Tier 2 | β οΈ | 6.47 | 43 | 29 | 2.78 | 0.901 | 1070 | ||
10β | NYR | Igor Shesterkin | G | Tier 2 | π₯ | 6.27 | 51 | 25 | 2.50 | 0.912 | 1299 | ||
11β | CBJ | Jet Greaves | G | Tier 2 | π₯ | 6.11 | 55 | 26 | 2.60 | 0.908 | 1397 | ||
12β | COL | Mackenzie Blackwood | G | Tier 2 | β οΈ | 5.79 | 39 | 23 | 2.50 | 0.904 | 843 | ||
13β | NYI | Ilya Sorokin | G | Tier 2 | π₯ | 5.78 | 55 | 29 | 2.68 | 0.906 | 1386 | ||
14β | MIN | Filip Gustavsson | G | Tier 2 | π₯ | 5.77 | 50 | 28 | 2.69 | 0.904 | 1245 | ||
15β | CAR | Brandon Bussi | G | Tier 2 | β οΈ | 5.37 | 39 | 31 | 2.47 | 0.895 | 816 | ||
16β | SJS | Alex Nedeljkovic | G | Tier 2 | β οΈ | 5.24 | 40 | 18 | 2.87 | 0.896 | 940 | ||
17β | PHI | Dan Vladar | G | Tier 2 | π₯ | 5.20 | 52 | 29 | 2.42 | 0.906 | 1162 | ||
18β | DAL | Jake Oettinger | G | Tier 2 | π₯ | 4.97 | 54 | 35 | 2.59 | 0.899 | 1234 | ||
19β | PIT | Sergei Murashov | G | Tier 2 | β οΈ | 3.97 | 5 | 1 | 2.56 | 0.897 | 104 | ||
20β | UTA | Karel Vejmelka | G | Tier 2 | 3.89 | 64 | 38 | 2.75 | 0.897 | 1458 | |||
21β | BOS | Joonas Korpisalo | G | Tier 2 | β οΈ | 3.81 | 31 | 14 | 3.15 | 0.894 | 761 | ||
22β | SEA | Matt Murray | G | Tier 2 | β οΈ | 3.55 | 5 | 0 | 2.21 | 0.922 | 94 | ||
23β | DET | John Gibson | G | Tier 2 | π₯ | 3.44 | 57 | 29 | 2.72 | 0.901 | 1317 | ||
24β | VGK | Carter Hart | G | Tier 2 | β οΈ | 3.03 | 18 | 11 | 2.71 | 0.891 | 376 | ||
25β | NYI | David Rittich | G | Tier 3 | β οΈ | 2.83 | 30 | 14 | 2.76 | 0.894 | 644 | ||
26β | CGY | Dustin Wolf | G | Tier 3 | π₯ | 2.72 | 57 | 23 | 3.01 | 0.899 | 1401 | ||
27β | NYR | Spencer Martin | G | Tier 3 | β οΈ | 2.62 | 6 | 1 | 4.13 | 0.864 | 127 | ||
28β | EDM | Tristan Jarry | G | Tier 3 | β οΈ | 2.55 | 33 | 18 | 3.32 | 0.882 | 734 | ||
29β | NSH | Juuse Saros | G | Tier 3 | π₯ | 2.40 | 59 | 28 | 3.16 | 0.894 | 1519 | ||
30β | OTT | Linus Ullmark | G | Tier 3 | π₯ | 2.34 | 49 | 28 | 2.73 | 0.891 | 1067 | ||
31β | WPG | Eric Comrie | G | Tier 3 | β οΈ | 2.22 | 25 | 12 | 3.13 | 0.890 | 582 | ||
32β | ANA | Lukas Dostal | G | Tier 3 | π₯ | 2.10 | 56 | 30 | 3.10 | 0.888 | 1344 |
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