On-ice results
Sequence xG (sxGF%) Leaders
2026-27All situationsThrough 3 team games
Plain expected goals add up every shot in a scramble as if each one were a fresh chance, even though only one goal can come out of it. Sequence xG discounts each follow-up attempt by the chance the play was already over: a shot worth 0.30 after a 0.25 rebound counts as 0.30 × 0.75.
That takes about 5.5% out of the league total, but it moves individual players much more: skaters whose lines live on second and third whacks drop, and clean one-shot rush lines rise.
Leader in 2026-27: Leon Draisaitl (EDM), 85.9% sxGF%.
- Early sample: teams have played at most 3 games in 2026-27. Expect big swings.
Sequence xG leaderboard
| # | Player | Team | |||||
|---|---|---|---|---|---|---|---|
| 1 | Leon DraisaitlFEDM | EDM | 85.9% | 42 | 6.64 | 1.09 | 100% |
| 2 | Vasily PodkolzinFEDM | EDM | 84.6% | 36 | 6.62 | 1.21 | 64%▲55 |
| 3 | Macklin CelebriniFSJS | SJS | 83.7% | 23 | 5.14 | 1.00 | 100%▲0.9 |
| 4 | Mikhail SergachevDUTA | UTA | 82.3% | 23 | 3.97 | 0.85 | 98%▲5.2 |
| 5 | Jack RoslovicFTOR | TOR | 81.0% | 33 | 3.11 | 0.73 | 34%▲26 |
| 6 | Carter VerhaegheFFLA | FLA | 78.7% | 36 | 3.47 | 0.94 | 73%▲1 |
| 7 | Andrei SvechnikovFCAR | CAR | 78.0% | 36 | 5.61 | 1.58 | 97%▲8.5 |
| 8 | Evan BouchardDEDM | EDM | 78.0% | 50 | 4.82 | 1.36 | 100% |
| 9 | Sebastian AhoFCAR | CAR | 77.7% | 40 | 4.41 | 1.27 | 99%▲0.9 |
| 10 | Sam BennettFFLA | FLA | 75.7% | 40 | 3.33 | 1.07 | 83%▲4 |
| 11 | Nikolaj EhlersFCAR | CAR | 75.4% | 38 | 4.51 | 1.47 | 93%▲7.9 |
| 12 | Matthew TkachukFFLA | FLA | 74.8% | 42 | 3.98 | 1.34 | 100%▲2.7 |
| 13 | Quinn HughesDMIN | MIN | 74.5% | 28 | 3.59 | 1.23 | 100% |
| 14 | Brady TkachukFFLA | FLA | 73.2% | 36 | 3.50 | 1.28 | 100%▲2.2 |
| 15 | Brandon MontourDSEA | SEA | 71.8% | 24 | 4.24 | 1.66 | 83%▲10 |
| 16 | Jackson BlakeFCAR | CAR | 71.7% | 41 | 4.43 | 1.74 | 68%▲21 |
| 17 | Connor McDavidFEDM | EDM | 71.3% | 45 | 5.10 | 2.05 | 100%▲1.5 |
| 18 | Luke HughesDNJD | NJD | 71.1% | 24 | 5.48 | 2.23 | 84%▲40 |
| 19 | Aleksander BarkovFFLA | FLA | 69.7% | 30 | 2.65 | 1.15 | 97%▲7.2 |
| 20 | Jack HughesFNJD | NJD | 69.5% | 26 | 4.46 | 1.96 | 100% |
| 21 | Sam ReinhartFFLA | FLA | 67.6% | 45 | 3.12 | 1.49 | 99% |
| 22 | Mike MathesonDMTL | MTL | 66.3% | 25 | 5.74 | 2.92 | 85%▼7.5 |
| 23 | Lars EllerFFLA | FLA | 66.2% | 27 | 2.16 | 1.10 | 0.2% |
| 24 | Mattias EkholmDEDM | EDM | 64.9% | 42 | 3.07 | 1.66 | 77%▲9.7 |
| 25 | Denton MateychukDCBJ | CBJ | 64.7% | 27 | 3.62 | 1.98 | 42%▲40 |
| 26 | Seth JonesDFLA | FLA | 63.9% | 57 | 3.17 | 1.79 | 80%▲32 |
| 27 | Vladislav GavrikovDNYR | NYR | 63.7% | 64 | 3.38 | 1.92 | 41%▼5.7 |
| 28 | Oliver BjorkstrandFNYR | NYR | 63.7% | 40 | 3.18 | 1.81 | 20% |
| 29 | Jordan StaalFCAR | CAR | 63.4% | 32 | 2.92 | 1.68 | 20%▲13 |
| 30 | Shayne GostisbehereDCAR | CAR | 63.3% | 42 | 3.92 | 2.28 | 96%▲16 |
| 31 | Morgan RiellyDTOR | TOR | 62.9% | 41 | 3.11 | 1.84 | 76%▼4.7 |
| 32 | Brock BoeserFVAN | VAN | 62.5% | 33 | 2.44 | 1.46 | 63%▼5.5 |
| 33 | Matthew SchaeferDNYI | NYI | 61.8% | 28 | 2.47 | 1.53 | 100% |
| 34 | J.T. MillerFNYR | NYR | 61.6% | 49 | 4.75 | 2.97 | 92%▲7.9 |
| 35 | Rasmus DahlinDBUF | BUF | 61.0% | 26 | 2.98 | 1.90 | 100%▲1 |
| 36 | Kasperi KapanenFEDM | EDM | 60.9% | 37 | 4.55 | 2.92 | 7.5%▲7.2 |
| 37 | Alexis LafrenièreFNYR | NYR | 59.9% | 55 | 3.70 | 2.47 | 82%▲13 |
| 38 | Kirill MarchenkoFTOR | TOR | 59.9% | 38 | 4.18 | 2.80 | 98%▲7 |
| 39 | Sandis VilmanisFFLA | FLA | 58.6% | 24 | 3.43 | 2.42 | 6.4%▲6.3 |
| 40 | Jake WalmanDEDM | EDM | 57.7% | 29 | 3.03 | 2.22 | 33%▲30 |
| 41 | Mika ZibanejadFNYR | NYR | 57.6% | 59 | 3.87 | 2.85 | 98%▲1.1 |
| 42 | Gabe PerreaultFNYR | NYR | 57.3% | 43 | 2.56 | 1.91 | 53%▲47 |
| 43 | Auston MatthewsFTOR | TOR | 56.3% | 43 | 4.18 | 3.25 | 99% |
| 44 | Logan StankovenFCAR | CAR | 55.7% | 40 | 3.72 | 2.95 | 67%▲42 |
| 45 | Marco RossiFVAN | VAN | 55.5% | 30 | 3.76 | 3.01 | 58%▲12 |
| 46 | Radko GudasDFLA | FLA | 55.0% | 24 | 2.15 | 1.76 | 25%▲22 |
| 47 | Bo HorvatFNYI | NYI | 54.7% | 23 | 2.97 | 2.46 | 91%▲1.7 |
| 48 | Ryan SheaDEDM | EDM | 53.5% | 46 | 2.97 | 2.57 | 15%▲9.6 |
| 49 | Sean DurziDNYR | NYR | 53.3% | 63 | 2.47 | 2.17 | 37%▲35 |
| 50 | Pavel DorofeyevFNYR | NYR | 52.9% | 47 | 3.96 | 3.53 | 92%▲1.7 |
| 51 | Connor CliftonDBOS | BOS | 51.8% | 23 | 1.75 | 1.62 | 7.4%▲6.7 |
| 52 | Owen PowerDBUF | BUF | 51.0% | 25 | 2.20 | 2.11 | 53%▲29 |
| 53 | Travis KonecnyFPHI | PHI | 50.8% | 32 | 3.12 | 3.02 | 92%▲9.9 |
| 54 | Jake McCabeDTOR | TOR | 50.7% | 32 | 2.01 | 1.95 | 34%▼15 |
| 55 | Eeli TolvanenFNYR | NYR | 50.1% | 40 | 2.62 | 2.61 | 36%▼9.4 |
| 56 | Adam FoxDNYR | NYR | 49.9% | 60 | 3.49 | 3.50 | 99%▲6.5 |
| 57 | Eetu LuostarinenFFLA | FLA | 49.2% | 30 | 4.46 | 4.61 | 11%▲9.1 |
| 58 | Easton CowanFTOR | TOR | 48.8% | 29 | 3.33 | 3.49 | 50%▲47 |
| 59 | Jordan MartinookFCAR | CAR | 48.6% | 27 | 1.71 | 1.81 | 4.3%▲2.7 |
| 60 | Zach WerenskiDCBJ | CBJ | 47.8% | 29 | 2.53 | 2.76 | 100% |
| 61 | Braden SchneiderDNYR | NYR | 47.7% | 52 | 2.09 | 2.29 | 19%▲17 |
| 62 | Jaccob SlavinDCAR | CAR | 47.5% | 41 | 2.18 | 2.41 | 15%▲3.8 |
| 63 | Alberts SmitsDNYR | NYR | 47.1% | 42 | 2.34 | 2.63 | 35%▲34 |
| 64 | Zeev BuiumDVAN | VAN | 47.0% | 44 | 2.82 | 3.18 | 74%▲54 |
| 65 | Aaron EkbladDFLA | FLA | 46.9% | 42 | 2.89 | 3.26 | 50%▲34 |
| 66 | Marcus PetterssonDNYR | NYR | 46.3% | 67 | 2.27 | 2.63 | 5.8%▲5.4 |
| 67 | Luke SchennDVAN | VAN | 46.3% | 28 | 2.56 | 2.98 | 7.3%▲6.9 |
| 68 | Connor MurphyDEDM | EDM | 46.1% | 43 | 2.55 | 2.98 | 5.9%▲5 |
| 69 | K'Andre MillerDCAR | CAR | 45.6% | 47 | 2.09 | 2.49 | 64%▲26 |
| 70 | Colton SissonsFTOR | TOR | 45.6% | 26 | 2.07 | 2.47 | 3.3%▲3.1 |
| 71 | Jordan GreenwayFCHI | CHI | 45.4% | 28 | 1.59 | 1.91 | 0.3% |
| 72 | Anton LundellFFLA | FLA | 45.3% | 40 | 3.67 | 4.42 | 45%▲30 |
| 73 | Lane HutsonDMTL | MTL | 45.2% | 24 | 1.93 | 2.34 | 99%▲3.1 |
| 74 | Nikita KucherovFTBL | TBL | 45.2% | 24 | 3.42 | 4.15 | 100% |
| 75 | Max SassonFVAN | VAN | 44.8% | 30 | 3.48 | 4.29 | 4.9%▲4.9 |
| 76 | Chris TanevDTOR | TOR | 44.4% | 39 | 2.18 | 2.73 | 6.0%▲5 |
| 77 | Niko MikkolaDFLA | FLA | 44.4% | 44 | 1.90 | 2.38 | 4.9%▲4.4 |
| 78 | Matvei MichkovFPHI | PHI | 44.3% | 29 | 1.77 | 2.23 | 86%▲23 |
| 79 | Brandon DuhaimeFTOR | TOR | 44.0% | 24 | 1.53 | 1.95 | 3.2%▲3 |
| 80 | Joseph VelenoFNYR | NYR | 43.5% | 44 | 1.71 | 2.21 | 3.3%▲3.1 |
| 81 | Alex FormentonFEDM | EDM | 43.1% | 31 | 2.12 | 2.79 | 9.6%▲9.6 |
| 82 | Darren RaddyshDTOR | TOR | 43.0% | 44 | 3.07 | 4.08 | 100%▲3.5 |
| 83 | Gavin McKennaFTOR | TOR | 42.3% | 31 | 2.45 | 3.34 | 94%▲11 |
| 84 | Jalen ChatfieldDCAR | CAR | 42.2% | 37 | 2.40 | 3.28 | 4.1%▲3.4 |
| 85 | Jake DeBruskFVAN | VAN | 41.9% | 31 | 1.64 | 2.27 | 49%▼20 |
| 86 | Nick PaulFTOR | TOR | 41.5% | 31 | 2.32 | 3.27 | 8.1%▲7.7 |
| 87 | Filip HronekDVAN | VAN | 41.5% | 48 | 2.40 | 3.39 | 91%▲14 |
| 88 | Oliver Ekman-LarssonDTOR | TOR | 41.3% | 34 | 2.15 | 3.05 | 43%▲32 |
| 89 | Taylor HallFCAR | CAR | 41.3% | 29 | 2.08 | 2.95 | 28%▲21 |
| 90 | Brandon HagelFTBL | TBL | 41.3% | 24 | 2.92 | 4.15 | 100%▲1.9 |
| 91 | Sam RinzelDCHI | CHI | 41.2% | 36 | 2.16 | 3.09 | 33%▲32 |
| 92 | Brayden PointFTBL | TBL | 41.0% | 23 | 3.54 | 5.10 | 95%▲7.7 |
| 93 | Alex BumpFPHI | PHI | 40.9% | 23 | 2.04 | 2.94 | 15%▲15 |
| 94 | Artyom LevshunovDCHI | CHI | 40.6% | 39 | 1.86 | 2.72 | 45%▲43 |
| 95 | Linus KarlssonFVAN | VAN | 39.8% | 27 | 1.73 | 2.62 | 11%▲9.5 |
| 96 | Jake GuentzelFTBL | TBL | 39.4% | 24 | 2.51 | 3.86 | 100% |
| 97 | Roman JosiDNSH | NSH | 39.3% | 25 | 2.02 | 3.12 | 98% |
| 98 | Mathieu JosephFEDM | EDM | 39.2% | 30 | 1.56 | 2.42 | 0.1% |
| 99 | John TavaresFTOR | TOR | 39.1% | 34 | 3.47 | 5.41 | 96%▲9.3 |
| 100 | Frank NazarFCHI | CHI | 38.9% | 35 | 2.50 | 3.92 | 54%▲34 |
Minimum sample: 23 min (it scales with games played and sequence coverage). 339 below the minimum are hidden.
How to read it
Read it like xGF%: 50% is even. Compare it with the plain xGF% column to see whose numbers are inflated by flurries.
How reliable is it?
Shares the stability of on-ice xGF%. The flurry discount itself is mechanical (no fitted parameters), so it adds no noise.
How Sequence xG is calculated →Related leaderboards
- 5v5 xGF%50% is break-even. 55% means the skater's team took 55% of the expected goals while he was on the ice.
- Shot DietExpected goals per unblocked attempt. League average is about 0.06-0.07; 0.10+ is an elite diet.
- HDCF/60League average at 5-on-5 is roughly 10-12 HDCF/60 per team; the leaders sit well above that.