On-ice results
5v5 Expected Goals Share (xGF%) Leaders
2026-27Even strengthThrough 3 team games
Expected goals share is the best single on-ice number for "does the play tilt toward the right net when this player is out there?" It weighs every unblocked shot attempt by its chance of scoring, so a point shot through traffic counts for less than a backdoor tap-in.
The board ranks the share, not the raw total, and uses only 5-on-5 play, where every team has the same number of skaters. Rows below the ice-time minimum are hidden; it rises as the season goes on.
Leader in 2026-27: Leon Draisaitl (EDM), 84.1% xGF%.
- Early sample: teams have played at most 3 games in 2026-27. Expect big swings.
5v5 xGF% leaderboard
| # | Player | Team | |||||
|---|---|---|---|---|---|---|---|
| 1 | Leon DraisaitlFEDM | EDM | 84.1% | 31 | 4.79 | 0.91 | 100% |
| 2 | Brett HowdenFVGK | VGK | 80.1% | 29 | 2.89 | 0.72 | 15%▲15 |
| 3 | Vasily PodkolzinFEDM | EDM | 80.0% | 27 | 5.24 | 1.31 | 64%▲55 |
| 4 | Kirill MarchenkoFTOR | TOR | 76.5% | 28 | 3.28 | 1.01 | 98%▲7 |
| 5 | Jack RoslovicFTOR | TOR | 74.0% | 27 | 2.56 | 0.90 | 34%▲26 |
| 6 | Carter VerhaegheFFLA | FLA | 73.3% | 29 | 2.72 | 0.99 | 73%▲1 |
| 7 | Elias PetterssonDVAN | VAN | 72.9% | 26 | 2.30 | 0.85 | 13%▲13 |
| 8 | Tomas HertlFVGK | VGK | 72.8% | 23 | 4.70 | 1.75 | 83%▲2.9 |
| 9 | Sam BennettFFLA | FLA | 72.4% | 31 | 2.03 | 0.77 | 83%▲4 |
| 10 | Evan BouchardDEDM | EDM | 71.9% | 38 | 3.32 | 1.29 | 100% |
| 11 | Mattias EkholmDEDM | EDM | 70.0% | 36 | 3.10 | 1.33 | 77%▲9.7 |
| 12 | Victor OlofssonFVGK | VGK | 69.2% | 25 | 4.76 | 2.12 | 12%▲12 |
| 13 | Luke SchennDVAN | VAN | 68.9% | 25 | 2.71 | 1.22 | 7.3%▲6.9 |
| 14 | Aaron EkbladDFLA | FLA | 68.8% | 25 | 2.25 | 1.02 | 50%▲34 |
| 15 | Matthew TkachukFFLA | FLA | 67.2% | 24 | 2.19 | 1.07 | 100%▲2.7 |
| 16 | Mitch MarnerFVGK | VGK | 66.0% | 31 | 1.91 | 0.98 | 99%▲1.1 |
| 17 | Connor McDavidFEDM | EDM | 65.8% | 31 | 2.89 | 1.50 | 100%▲1.5 |
| 18 | William KarlssonFVGK | VGK | 64.5% | 30 | 2.20 | 1.21 | 24%▲20 |
| 19 | Shea TheodoreDVGK | VGK | 63.6% | 33 | 3.61 | 2.06 | 91%▲28 |
| 20 | Brady TkachukFFLA | FLA | 63.6% | 23 | 1.78 | 1.02 | 100%▲2.2 |
| 21 | Elias LindholmFBOS | BOS | 63.2% | 28 | 3.20 | 1.87 | 43%▲4.6 |
| 22 | Radko GudasDFLA | FLA | 62.9% | 23 | 2.49 | 1.47 | 25%▲22 |
| 23 | Sean KuralyFBOS | BOS | 62.9% | 24 | 1.68 | 0.99 | 0.1% |
| 24 | David PastrnakFBOS | BOS | 62.5% | 33 | 3.08 | 1.84 | 100%▲1.2 |
| 25 | Brayden McNabbDVGK | VGK | 62.4% | 32 | 3.81 | 2.29 | 23%▲20 |
| 26 | Seth JonesDFLA | FLA | 61.7% | 38 | 2.21 | 1.37 | 80%▲32 |
| 27 | Auston MatthewsFTOR | TOR | 61.6% | 28 | 3.12 | 1.95 | 99% |
| 28 | Mika ZibanejadFNYR | NYR | 61.5% | 44 | 2.59 | 1.62 | 98%▲1.1 |
| 29 | Oliver BjorkstrandFNYR | NYR | 60.6% | 37 | 3.18 | 2.06 | 20% |
| 30 | J.T. MillerFNYR | NYR | 60.4% | 37 | 3.47 | 2.27 | 92%▲7.9 |
| 31 | Dmitry KulikovDFLA | FLA | 60.3% | 27 | 2.57 | 1.69 | 3.2%▲3.1 |
| 32 | Casey MittelstadtFBOS | BOS | 60.2% | 28 | 4.10 | 2.71 | 14%▲12 |
| 33 | Sandis VilmanisFFLA | FLA | 60.1% | 24 | 3.75 | 2.49 | 6.4%▲6.3 |
| 34 | Noah HanifinDVGK | VGK | 59.4% | 35 | 2.51 | 1.71 | 52%▼23 |
| 35 | Hampus LindholmDBOS | BOS | 59.3% | 35 | 3.81 | 2.61 | 16%▲15 |
| 36 | Tanner JeannotFBOS | BOS | 59.2% | 23 | 1.52 | 1.05 | 6.5%▲6.1 |
| 37 | Niko MikkolaDFLA | FLA | 59.1% | 38 | 2.23 | 1.54 | 4.9%▲4.4 |
| 38 | Denton MateychukDCBJ | CBJ | 59.0% | 24 | 2.46 | 1.70 | 42%▲40 |
| 39 | Mason LohreiDBOS | BOS | 57.5% | 37 | 2.42 | 1.79 | 22%▲21 |
| 40 | Nikita ZadorovDBOS | BOS | 57.5% | 40 | 2.64 | 1.95 | 39%▲21 |
| 41 | Alexis LafrenièreFNYR | NYR | 57.5% | 45 | 2.45 | 1.81 | 82%▲13 |
| 42 | Alex FormentonFEDM | EDM | 57.0% | 27 | 2.37 | 1.79 | 9.6%▲9.6 |
| 43 | Max SassonFVAN | VAN | 56.4% | 26 | 4.27 | 3.30 | 4.9%▲4.9 |
| 44 | JJ PeterkaFBOS | BOS | 56.0% | 32 | 2.87 | 2.26 | 75%▲36 |
| 45 | Will BorgenDBOS | BOS | 55.8% | 34 | 3.21 | 2.54 | 4.1%▲3.8 |
| 46 | Connor CliftonDBOS | BOS | 55.8% | 38 | 2.49 | 1.97 | 7.4%▲6.7 |
| 47 | Morgan RiellyDTOR | TOR | 55.0% | 33 | 2.63 | 2.15 | 76%▼4.7 |
| 48 | Mark StoneFVGK | VGK | 54.8% | 27 | 2.84 | 2.35 | 93%▲9 |
| 49 | Pavel DorofeyevFNYR | NYR | 54.7% | 38 | 3.63 | 3.00 | 92%▲1.7 |
| 50 | Jonathan AspirotDBOS | BOS | 54.7% | 32 | 2.12 | 1.76 | 4.8%▲4.6 |
| 51 | Gabe PerreaultFNYR | NYR | 54.5% | 38 | 2.61 | 2.18 | 53%▲47 |
| 52 | Ivan BarbashevFVGK | VGK | 54.3% | 29 | 2.38 | 2.00 | 67%▲26 |
| 53 | Jeremy LauzonDVGK | VGK | 54.2% | 31 | 2.63 | 2.22 | 24%▲22 |
| 54 | Liam OhgrenFVAN | VAN | 53.8% | 29 | 1.64 | 1.40 | 17%▲17 |
| 55 | Tristan LuneauDANA | ANA | 53.8% | 24 | 3.22 | 2.76 | 29%▲29 |
| 56 | Jake WalmanDEDM | EDM | 53.8% | 24 | 2.79 | 2.40 | 33%▲30 |
| 57 | Vladislav GavrikovDNYR | NYR | 53.7% | 54 | 2.46 | 2.12 | 41%▼5.7 |
| 58 | Sam ReinhartFFLA | FLA | 53.3% | 28 | 1.35 | 1.18 | 99% |
| 59 | Paul CotterFVAN | VAN | 53.3% | 24 | 2.56 | 2.25 | 14%▲14 |
| 60 | Jaccob SlavinDCAR | CAR | 52.9% | 34 | 2.26 | 2.01 | 15%▲3.8 |
| 61 | Pavel ZachaFBOS | BOS | 52.7% | 29 | 3.29 | 2.94 | 77%▲12 |
| 62 | Morgan GeekieFBOS | BOS | 52.7% | 31 | 3.66 | 3.29 | 97%▲8.6 |
| 63 | Ryan SheaDEDM | EDM | 51.8% | 38 | 2.90 | 2.69 | 15%▲9.6 |
| 64 | Adam FoxDNYR | NYR | 51.6% | 47 | 2.78 | 2.60 | 99%▲6.5 |
| 65 | Marco RossiFVAN | VAN | 51.3% | 25 | 3.32 | 3.14 | 58%▲12 |
| 66 | Sean DurziDNYR | NYR | 51.1% | 49 | 2.28 | 2.18 | 37%▲35 |
| 67 | Brock BoeserFVAN | VAN | 50.6% | 28 | 1.50 | 1.46 | 63%▼5.5 |
| 68 | Marcus PetterssonDNYR | NYR | 50.6% | 54 | 2.13 | 2.08 | 5.8%▲5.4 |
| 69 | Parker WotherspoonDVGK | VGK | 50.1% | 34 | 2.66 | 2.64 | 20%▲19 |
| 70 | Fraser MintenFBOS | BOS | 49.1% | 28 | 2.54 | 2.62 | 45%▲35 |
| 71 | Frank NazarFCHI | CHI | 48.7% | 28 | 2.53 | 2.66 | 54%▲34 |
| 72 | Rasmus AnderssonDVGK | VGK | 48.7% | 35 | 2.30 | 2.42 | 95%▼3 |
| 73 | Jordan GreenwayFCHI | CHI | 48.6% | 25 | 1.85 | 1.95 | 0.3% |
| 74 | Andrei SvechnikovFCAR | CAR | 48.5% | 23 | 2.34 | 2.48 | 97%▲8.5 |
| 75 | Jack EichelFVGK | VGK | 48.2% | 29 | 2.74 | 2.94 | 99%▲1.4 |
| 76 | Kasperi KapanenFEDM | EDM | 47.7% | 29 | 3.65 | 4.00 | 7.5%▲7.2 |
| 77 | Oliver Ekman-LarssonDTOR | TOR | 47.6% | 28 | 2.67 | 2.94 | 43%▲32 |
| 78 | Troy StecherDTOR | TOR | 47.2% | 28 | 1.78 | 1.99 | 0.2% |
| 79 | James HagensFBOS | BOS | 46.9% | 27 | 2.17 | 2.45 | 50%▲42 |
| 80 | Nikolaj EhlersFCAR | CAR | 46.8% | 26 | 1.96 | 2.24 | 93%▲7.9 |
| 81 | Jake McCabeDTOR | TOR | 46.6% | 24 | 1.38 | 1.58 | 34%▼15 |
| 82 | Filip HronekDVAN | VAN | 46.6% | 34 | 2.24 | 2.57 | 91%▲14 |
| 83 | Alberts SmitsDNYR | NYR | 46.3% | 42 | 2.36 | 2.74 | 35%▲34 |
| 84 | Connor MurphyDEDM | EDM | 45.9% | 38 | 2.50 | 2.94 | 5.9%▲5 |
| 85 | Cole SmithFCHI | CHI | 45.4% | 26 | 1.75 | 2.10 | 0.1% |
| 86 | Eeli TolvanenFNYR | NYR | 45.0% | 31 | 1.85 | 2.26 | 36%▼9.4 |
| 87 | Zeev BuiumDVAN | VAN | 44.4% | 40 | 2.59 | 3.24 | 74%▲54 |
| 88 | Jalen ChatfieldDCAR | CAR | 44.0% | 30 | 2.54 | 3.24 | 4.1%▲3.4 |
| 89 | Chris TanevDTOR | TOR | 43.6% | 31 | 1.91 | 2.48 | 6.0%▲5 |
| 90 | Braden SchneiderDNYR | NYR | 43.6% | 44 | 1.94 | 2.52 | 19%▲17 |
| 91 | Drew O'ConnorFVAN | VAN | 43.3% | 26 | 2.73 | 3.58 | 5.9%▲4.5 |
| 92 | Jackson LaCombeDANA | ANA | 43.3% | 23 | 2.33 | 3.05 | 97%▲9.4 |
| 93 | Will CuylleFNYR | NYR | 42.5% | 35 | 1.84 | 2.48 | 64% |
| 94 | Jonathan LekkerimäkiFVAN | VAN | 41.7% | 23 | 2.80 | 3.91 | 25%▲25 |
| 95 | Tom WillanderDVAN | VAN | 41.7% | 37 | 2.63 | 3.69 | 25%▲24 |
| 96 | Artyom LevshunovDCHI | CHI | 41.5% | 36 | 1.86 | 2.63 | 45%▲43 |
| 97 | Sam RinzelDCHI | CHI | 41.1% | 34 | 2.34 | 3.35 | 33%▲32 |
| 98 | Matvei MichkovFPHI | PHI | 40.6% | 25 | 1.28 | 1.87 | 86%▲23 |
| 99 | Ian ColeDCHI | CHI | 40.3% | 24 | 1.64 | 2.43 | 4.9%▲4.3 |
| 100 | Darren RaddyshDTOR | TOR | 39.8% | 33 | 2.21 | 3.35 | 100%▲3.5 |
Minimum sample: 23 min (it scales with games played and sequence coverage). 420 below the minimum are hidden.
How to read it
50% is break-even. 55% means the skater's team took 55% of the expected goals while he was on the ice.
How reliable is it?
On-ice xGF% is moderately repeatable: split-half r ≈ 0.29 at about 7 xG per half. Treat gaps of 2-3 points between players as noise before about 500 minutes.
How our expected goals model works →Related leaderboards
- 5v5 CF%50% is even. Above 55% over a full season is top-line territory; below 45% usually means heavy defensive usage or a struggling line.
- Sequence xGRead it like xGF%: 50% is even. Compare it with the plain xGF% column to see whose numbers are inflated by flurries.
- HDCF/60League average at 5-on-5 is roughly 10-12 HDCF/60 per team; the leaders sit well above that.
- Line xGF%Share of 5-on-5 expected goals while the trio was on the ice together. 50% is even.