NHL Goaltending Composite Efficacy
Research Report: Comparative Goaltending Efficacy (2022-23 Stanley Cup Playoffs)
NHL Goaltending Composite Efficacy — 2022–23 Stanley Cup Playoffs. Five-pillar composite ranking with the complete qualifying table.
Inclusion Criteria
Restricted to goaltenders with a minimum of 5 Games Played during the 2022-23 Stanley Cup Playoffs.
Primary Findings: The Postseason’s Elite
The following table represents all qualifying goaltenders for the 2022-23 Stanley Cup Playoffs, ranked by their average standing across all five pillars.
| Rank | Player | Team | GP | Composite Score |
|---|---|---|---|---|
| 1 | Adin Hill | VGK | 16 | 1.4 |
| 2 | Sergei Bobrovsky | FLA | 19 | 3.8 |
| 3 | Frederik Andersen | CAR | 9 | 4.9 |
| 4 | Akira Schmid | NJD | 9 | 5.6 |
| 5 | Laurent Brossoit | VGK | 8 | 7.0 |
| 6 | Jake Oettinger | DAL | 19 | 7.2 |
| 7 | Igor Shesterkin | NYR | 7 | 8.8 |
| 8 | Antti Raanta | CAR | 6 | 8.8 |
| 9 | Philipp Grubauer | SEA | 14 | 9.4 |
| 10 | Ilya Samsonov | TOR | 9 | 9.9 |
| 11 | Linus Ullmark | BOS | 6 | 10.6 |
| 12 | Alexandar Georgiev | COL | 7 | 10.9 |
| 13 | Filip Gustavsson | MIN | 5 | 11.3 |
| 14 | Ilya Sorokin | NYI | 6 | 12.6 |
| 15 | Stuart Skinner | EDM | 12 | 13.0 |
| 16 | Joonas Korpisalo | LAK | 6 | 15.0 |
| 17 | Andrei Vasilevskiy | TBL | 6 | 15.8 |
| 18 | Connor Hellebuyck | WPG | 5 | 16.6 |
| 19 | Vitek Vanecek | NJD | 7 | 17.4 |
Detailed Logical Analysis
1. Adin Hill’s Cup-Winning Profile
Adin Hill's Composite Score of 1.4 is the most dominant single-postseason finish in any of our datasets. He ranks #1 in Win Rate, #2 in Shutout Rate, #1 in Save Efficiency Ratio, #2 in Loss Suppression, and #1 in Victory Efficiency — four pillars at #1 or #2 across 16 GP during a Stanley Cup victory. His pillar profile is the postseason equivalent of the regular-season Wedgewood/Andersen outliers: cross-pillar dominance produced during the games that mattered most.
2. The Vegas Tandem at #1 and #5
Vegas, the Stanley Cup champion, produces two of the postseason's top five Composite finishes — Hill at #1 (1.4) and Laurent Brossoit at #5 (7.0). Both finished above #5 across at least three of the five pillars. The dual-tandem pattern that the regular-season Composite has surfaced repeatedly (Boston, Carolina, Colorado) appears in the postseason cut as well — a championship run, in this case, was supported by parallel efficiency from both depth charts.
3. The Bobrovsky Workload Run
Sergei Bobrovsky carries the highest postseason workload — 19 GP through Florida's run to the Stanley Cup Final — and finishes #2 with a Composite of 3.8. His profile (#2 WinRate, #3 SO Rate, #7 Svs/GA, #3.5 LossRate, #3.5 GA/W) holds elite-tier consistency across the Cinderella run. The result begins what becomes a multi-year Bobrovsky playoff thesis: he is the era's most reliable high-volume postseason goaltender, regardless of his regular-season Composite tier.
Conclusions
The 2022-23 postseason produces three structural findings: a near-perfect Cup-winning Composite (Hill at 1.4), a championship dual-tandem (Vegas), and the first installment of the Bobrovsky playoff workload thesis. The methodology produces a #1 finish that aligns with the actual Stanley Cup result while also exposing the depth-chart contribution that the trophy itself does not measure.
Thesis: The Postseason’s First Outlier
The Cup-Champion Floor
Hill's 1.4 Composite is the postseason's mathematical analogue to Andersen's 1.0 in the 2023-24 regular season — a goaltender who finishes near the top of every pillar simultaneously during a championship run. The methodology produces a result that matches the season's actual outcome (the Cup) while also identifying him by a measure independent of any single statistic.
The Vegas System Effect
Vegas's #1 and #5 placements parallel the team-tandem patterns documented in the regular season. The system signal — that championship-quality teams produce parallel elite Composites from both goaltenders — appears in the postseason data with the same structure as the regular season.
The Bobrovsky Inversion
Bobrovsky's #2 Composite on 19 postseason GP is the playoff data's clearest workload-inversion case. In the regular season, his 2022-23 Composite ranked outside the top 30. In the playoffs, he produces a top-2 finish. The Composite captures what the postseason rewards differently from the regular season: durable cross-pillar performance under the highest single-elimination pressure.
Final Conclusion
The 2022-23 postseason produces a near-perfect Composite for the Cup winner (Hill), confirms the team-tandem signal at the championship level (Vegas), and begins what becomes the multi-year Bobrovsky playoff thesis. Read alongside the regular-season analyses, the postseason cut shows the methodology aligning with the actual Cup result while surfacing the depth-chart contribution.
The complete table
19 qualifying goaltenders · every pillar value and rank
| # | Player | Team | GP | GS | W | L | SA | Svs | GA | Sv% | GAA | SO | Win Rate | Rk | SO Rate | Rk | Svs/GA | Rk | Loss Rate | Rk | GA/Win | Rk | Composite |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Adin Hill | VGK | 16 | 14 | 11 | 4 | 488 | 455 | 33 | 0.932 | 2.17 | 2 | 0.688 | 1 | 0.143 | 2 | 13.79 | 1 | 0.286 | 2 | 3.00 | 1 | 1.4 |
| 2 | Sergei Bobrovsky | FLA | 19 | 18 | 12 | 6 | 639 | 585 | 54 | 0.915 | 2.78 | 1 | 0.632 | 2 | 0.056 | 3 | 10.83 | 7 | 0.333 | 3.5 | 4.50 | 3.5 | 3.8 |
| 3 | Frederik Andersen | CAR | 9 | 9 | 5 | 3 | 245 | 227 | 18 | 0.927 | 1.83 | 0 | 0.556 | 4 | 0.000 | 12 | 12.61 | 3 | 0.333 | 3.5 | 3.60 | 2 | 4.9 |
| 4 | Akira Schmid | NJD | 9 | 8 | 4 | 4 | 229 | 211 | 18 | 0.921 | 2.35 | 2 | 0.444 | 9.5 | 0.250 | 1 | 11.72 | 5 | 0.500 | 9 | 4.50 | 3.5 | 5.6 |
| 5 | Laurent Brossoit | VGK | 8 | 8 | 5 | 2 | 216 | 193 | 23 | 0.894 | 3.18 | 0 | 0.625 | 3 | 0.000 | 12 | 8.39 | 14 | 0.250 | 1 | 4.60 | 5 | 7.0 |
| 6 | Jake Oettinger | DAL | 19 | 19 | 10 | 9 | 525 | 470 | 55 | 0.895 | 3.06 | 1 | 0.526 | 5 | 0.053 | 4 | 8.55 | 13 | 0.474 | 6 | 5.50 | 8 | 7.2 |
| 7 | Igor Shesterkin | NYR | 7 | 7 | 3 | 4 | 203 | 189 | 14 | 0.931 | 1.96 | 0 | 0.429 | 11.5 | 0.000 | 12 | 13.50 | 2 | 0.571 | 12.5 | 4.67 | 6 | 8.8 |
| 8 | Antti Raanta | CAR | 6 | 6 | 3 | 3 | 165 | 150 | 15 | 0.909 | 2.48 | 0 | 0.500 | 7 | 0.000 | 12 | 10.00 | 9 | 0.500 | 9 | 5.00 | 7 | 8.8 |
| 9 | Philipp Grubauer | SEA | 14 | 14 | 7 | 7 | 422 | 381 | 41 | 0.903 | 2.99 | 0 | 0.500 | 7 | 0.000 | 12 | 9.29 | 10 | 0.500 | 9 | 5.86 | 9 | 9.4 |
| 10 | Ilya Samsonov | TOR | 9 | 9 | 4 | 4 | 255 | 229 | 26 | 0.898 | 3.13 | 0 | 0.444 | 9.5 | 0.000 | 12 | 8.81 | 11 | 0.444 | 5 | 6.50 | 12 | 9.9 |
| 11 | Linus Ullmark | BOS | 6 | 6 | 3 | 3 | 192 | 172 | 20 | 0.896 | 3.33 | 0 | 0.500 | 7 | 0.000 | 12 | 8.60 | 12 | 0.500 | 9 | 6.67 | 13 | 10.6 |
| 12 | Alexandar Georgiev | COL | 7 | 7 | 3 | 4 | 210 | 192 | 18 | 0.914 | 2.6 | 0 | 0.429 | 11.5 | 0.000 | 12 | 10.67 | 8 | 0.571 | 12.5 | 6.00 | 10.5 | 10.9 |
| 13 | Filip Gustavsson | MIN | 5 | 5 | 2 | 3 | 151 | 139 | 12 | 0.921 | 2.33 | 0 | 0.400 | 14 | 0.000 | 12 | 11.58 | 6 | 0.600 | 14 | 6.00 | 10.5 | 11.3 |
| 14 | Ilya Sorokin | NYI | 6 | 6 | 2 | 4 | 210 | 195 | 16 | 0.929 | 2.6 | 0 | 0.333 | 16 | 0.000 | 12 | 12.19 | 4 | 0.667 | 16 | 8.00 | 15 | 12.6 |
| 15 | Stuart Skinner | EDM | 12 | 12 | 5 | 6 | 325 | 287 | 38 | 0.883 | 3.68 | 0 | 0.417 | 13 | 0.000 | 12 | 7.55 | 17 | 0.500 | 9 | 7.60 | 14 | 13.0 |
| 16 | Joonas Korpisalo | LAK | 6 | 6 | 2 | 4 | 203 | 181 | 22 | 0.892 | 3.77 | 0 | 0.333 | 16 | 0.000 | 12 | 8.23 | 15 | 0.667 | 16 | 11.00 | 16 | 15.0 |
| 17 | Andrei Vasilevskiy | TBL | 6 | 6 | 2 | 4 | 184 | 161 | 23 | 0.875 | 3.56 | 0 | 0.333 | 16 | 0.000 | 12 | 7.00 | 18 | 0.667 | 16 | 11.50 | 17 | 15.8 |
| 18 | Connor Hellebuyck | WPG | 5 | 5 | 1 | 4 | 158 | 140 | 18 | 0.886 | 3.44 | 0 | 0.200 | 18 | 0.000 | 12 | 7.78 | 16 | 0.800 | 19 | 18.00 | 18 | 16.6 |
| 19 | Vitek Vanecek | NJD | 7 | 4 | 1 | 3 | 120 | 99 | 21 | 0.825 | 4.64 | 0 | 0.143 | 19 | 0.000 | 12 | 4.71 | 19 | 0.750 | 18 | 21.00 | 19 | 17.4 |
Pillars: Win Rate (W/GP) · Shutout Rate (SO/GS) · Save Efficiency Ratio (Svs/GA) · Loss Suppression (L/GS) · Victory Efficiency (GA/W). Composite = mean of the five pillar ranks; lower is better. Full definitions: methodology.