Sat, Mar 7, 2026

Propagation anomalies - 2026-03-07

Detection of blocks that propagated slower than expected, attempting to find correlations with blob count.

Show code
display_sql("block_production_timeline", target_date)
View query
WITH
-- Base slots using proposer duty as the source of truth
slots AS (
    SELECT DISTINCT
        slot,
        slot_start_date_time,
        proposer_validator_index
    FROM canonical_beacon_proposer_duty
    WHERE meta_network_name = 'mainnet'
      AND slot_start_date_time >= '2026-03-07' AND slot_start_date_time < '2026-03-07'::date + INTERVAL 1 DAY
),

-- Proposer entity mapping
proposer_entity AS (
    SELECT
        index,
        entity
    FROM ethseer_validator_entity
    WHERE meta_network_name = 'mainnet'
),

-- Blob count per slot
blob_count AS (
    SELECT
        slot,
        uniq(blob_index) AS blob_count
    FROM canonical_beacon_blob_sidecar
    WHERE meta_network_name = 'mainnet'
      AND slot_start_date_time >= '2026-03-07' AND slot_start_date_time < '2026-03-07'::date + INTERVAL 1 DAY
    GROUP BY slot
),

-- Canonical block hash (to verify MEV payload was actually used)
canonical_block AS (
    SELECT DISTINCT
        slot,
        execution_payload_block_hash
    FROM canonical_beacon_block
    WHERE meta_network_name = 'mainnet'
      AND slot_start_date_time >= '2026-03-07' AND slot_start_date_time < '2026-03-07'::date + INTERVAL 1 DAY
),

-- MEV bid timing using timestamp_ms
mev_bids AS (
    SELECT
        slot,
        slot_start_date_time,
        min(timestamp_ms) AS first_bid_timestamp_ms,
        max(timestamp_ms) AS last_bid_timestamp_ms
    FROM mev_relay_bid_trace
    WHERE meta_network_name = 'mainnet'
      AND slot_start_date_time >= '2026-03-07' AND slot_start_date_time < '2026-03-07'::date + INTERVAL 1 DAY
    GROUP BY slot, slot_start_date_time
),

-- MEV payload delivery - join canonical block with delivered payloads
-- Note: Use is_mev flag because ClickHouse LEFT JOIN returns 0 (not NULL) for non-matching rows
-- Get value from proposer_payload_delivered (not bid_trace, which may not have the winning block)
mev_payload AS (
    SELECT
        cb.slot,
        cb.execution_payload_block_hash AS winning_block_hash,
        1 AS is_mev,
        max(pd.value) AS winning_bid_value,
        groupArray(DISTINCT pd.relay_name) AS relay_names,
        any(pd.builder_pubkey) AS winning_builder
    FROM canonical_block cb
    GLOBAL INNER JOIN mev_relay_proposer_payload_delivered pd
        ON cb.slot = pd.slot AND cb.execution_payload_block_hash = pd.block_hash
    WHERE pd.meta_network_name = 'mainnet'
      AND slot_start_date_time >= '2026-03-07' AND slot_start_date_time < '2026-03-07'::date + INTERVAL 1 DAY
    GROUP BY cb.slot, cb.execution_payload_block_hash
),

-- Winning bid timing from bid_trace (may not exist for all MEV blocks)
winning_bid AS (
    SELECT
        bt.slot,
        bt.slot_start_date_time,
        argMin(bt.timestamp_ms, bt.event_date_time) AS winning_bid_timestamp_ms
    FROM mev_relay_bid_trace bt
    GLOBAL INNER JOIN mev_payload mp ON bt.slot = mp.slot AND bt.block_hash = mp.winning_block_hash
    WHERE bt.meta_network_name = 'mainnet'
      AND slot_start_date_time >= '2026-03-07' AND slot_start_date_time < '2026-03-07'::date + INTERVAL 1 DAY
    GROUP BY bt.slot, bt.slot_start_date_time
),

-- Block gossip timing with spread
block_gossip AS (
    SELECT
        slot,
        min(event_date_time) AS block_first_seen,
        max(event_date_time) AS block_last_seen
    FROM libp2p_gossipsub_beacon_block
    WHERE meta_network_name = 'mainnet'
      AND slot_start_date_time >= '2026-03-07' AND slot_start_date_time < '2026-03-07'::date + INTERVAL 1 DAY
    GROUP BY slot
),

-- Column arrival timing: first arrival per column, then min/max of those
column_gossip AS (
    SELECT
        slot,
        min(first_seen) AS first_column_first_seen,
        max(first_seen) AS last_column_first_seen
    FROM (
        SELECT
            slot,
            column_index,
            min(event_date_time) AS first_seen
        FROM libp2p_gossipsub_data_column_sidecar
        WHERE meta_network_name = 'mainnet'
          AND slot_start_date_time >= '2026-03-07' AND slot_start_date_time < '2026-03-07'::date + INTERVAL 1 DAY
          AND event_date_time > '1970-01-01 00:00:01'
        GROUP BY slot, column_index
    )
    GROUP BY slot
)

SELECT
    s.slot AS slot,
    s.slot_start_date_time AS slot_start_date_time,
    pe.entity AS proposer_entity,

    -- Blob count
    coalesce(bc.blob_count, 0) AS blob_count,

    -- MEV bid timing (absolute and relative to slot start)
    fromUnixTimestamp64Milli(mb.first_bid_timestamp_ms) AS first_bid_at,
    mb.first_bid_timestamp_ms - toInt64(toUnixTimestamp(mb.slot_start_date_time)) * 1000 AS first_bid_ms,
    fromUnixTimestamp64Milli(mb.last_bid_timestamp_ms) AS last_bid_at,
    mb.last_bid_timestamp_ms - toInt64(toUnixTimestamp(mb.slot_start_date_time)) * 1000 AS last_bid_ms,

    -- Winning bid timing (from bid_trace, may be NULL if block hash not in bid_trace)
    if(wb.slot != 0, fromUnixTimestamp64Milli(wb.winning_bid_timestamp_ms), NULL) AS winning_bid_at,
    if(wb.slot != 0, wb.winning_bid_timestamp_ms - toInt64(toUnixTimestamp(s.slot_start_date_time)) * 1000, NULL) AS winning_bid_ms,

    -- MEV payload info (from proposer_payload_delivered, always present for MEV blocks)
    if(mp.is_mev = 1, mp.winning_bid_value, NULL) AS winning_bid_value,
    if(mp.is_mev = 1, mp.relay_names, []) AS winning_relays,
    if(mp.is_mev = 1, mp.winning_builder, NULL) AS winning_builder,

    -- Block gossip timing with spread
    bg.block_first_seen,
    dateDiff('millisecond', s.slot_start_date_time, bg.block_first_seen) AS block_first_seen_ms,
    bg.block_last_seen,
    dateDiff('millisecond', s.slot_start_date_time, bg.block_last_seen) AS block_last_seen_ms,
    dateDiff('millisecond', bg.block_first_seen, bg.block_last_seen) AS block_spread_ms,

    -- Column arrival timing (NULL when no blobs)
    if(coalesce(bc.blob_count, 0) = 0, NULL, cg.first_column_first_seen) AS first_column_first_seen,
    if(coalesce(bc.blob_count, 0) = 0, NULL, dateDiff('millisecond', s.slot_start_date_time, cg.first_column_first_seen)) AS first_column_first_seen_ms,
    if(coalesce(bc.blob_count, 0) = 0, NULL, cg.last_column_first_seen) AS last_column_first_seen,
    if(coalesce(bc.blob_count, 0) = 0, NULL, dateDiff('millisecond', s.slot_start_date_time, cg.last_column_first_seen)) AS last_column_first_seen_ms,
    if(coalesce(bc.blob_count, 0) = 0, NULL, dateDiff('millisecond', cg.first_column_first_seen, cg.last_column_first_seen)) AS column_spread_ms

FROM slots s
GLOBAL LEFT JOIN proposer_entity pe ON s.proposer_validator_index = pe.index
GLOBAL LEFT JOIN blob_count bc ON s.slot = bc.slot
GLOBAL LEFT JOIN mev_bids mb ON s.slot = mb.slot
GLOBAL LEFT JOIN mev_payload mp ON s.slot = mp.slot
GLOBAL LEFT JOIN winning_bid wb ON s.slot = wb.slot
GLOBAL LEFT JOIN block_gossip bg ON s.slot = bg.slot
GLOBAL LEFT JOIN column_gossip cg ON s.slot = cg.slot

ORDER BY s.slot DESC
Show code
df = load_parquet("block_production_timeline", target_date)

# Filter to valid blocks (exclude missed slots)
df = df[df["block_first_seen_ms"].notna()]
df = df[(df["block_first_seen_ms"] >= 0) & (df["block_first_seen_ms"] < 60000)]

# Flag MEV vs local blocks
df["has_mev"] = df["winning_bid_value"].notna()
df["block_type"] = df["has_mev"].map({True: "MEV", False: "Local"})

# Get max blob count for charts
max_blobs = df["blob_count"].max()

print(f"Total valid blocks: {len(df):,}")
print(f"MEV blocks: {df['has_mev'].sum():,} ({df['has_mev'].mean()*100:.1f}%)")
print(f"Local blocks: {(~df['has_mev']).sum():,} ({(~df['has_mev']).mean()*100:.1f}%)")
Total valid blocks: 7,176
MEV blocks: 6,645 (92.6%)
Local blocks: 531 (7.4%)

Anomaly detection method

The method:

  1. Fit linear regression: block_first_seen_ms ~ blob_count
  2. Calculate residuals (actual - expected)
  3. Flag blocks with residuals > 2σ as anomalies

Points above the ±2σ band propagated slower than expected given their blob count.

Show code
# Conditional outliers: blocks slow relative to their blob count
df_anomaly = df.copy()

# Fit regression: block_first_seen_ms ~ blob_count
slope, intercept, r_value, p_value, std_err = stats.linregress(
    df_anomaly["blob_count"].astype(float), df_anomaly["block_first_seen_ms"]
)

# Calculate expected value and residual
df_anomaly["expected_ms"] = intercept + slope * df_anomaly["blob_count"].astype(float)
df_anomaly["residual_ms"] = df_anomaly["block_first_seen_ms"] - df_anomaly["expected_ms"]

# Calculate residual standard deviation
residual_std = df_anomaly["residual_ms"].std()

# Flag anomalies: residual > 2σ (unexpectedly slow)
df_anomaly["is_anomaly"] = df_anomaly["residual_ms"] > 2 * residual_std

n_anomalies = df_anomaly["is_anomaly"].sum()
pct_anomalies = n_anomalies / len(df_anomaly) * 100

# Prepare outliers dataframe
df_outliers = df_anomaly[df_anomaly["is_anomaly"]].copy()
df_outliers["relay"] = df_outliers["winning_relays"].apply(lambda x: x[0] if len(x) > 0 else "Local")
df_outliers["proposer"] = df_outliers["proposer_entity"].fillna("Unknown")
df_outliers["builder"] = df_outliers["winning_builder"].apply(
    lambda x: f"{x[:10]}..." if pd.notna(x) and x else "Local"
)

print(f"Regression: block_ms = {intercept:.1f} + {slope:.2f} × blob_count (R² = {r_value**2:.3f})")
print(f"Residual σ = {residual_std:.1f}ms")
print(f"Anomalies (>2σ slow): {n_anomalies:,} ({pct_anomalies:.1f}%)")
Regression: block_ms = 1761.2 + 14.41 × blob_count (R² = 0.006)
Residual σ = 660.9ms
Anomalies (>2σ slow): 328 (4.6%)
Show code
# Create scatter plot with regression band
x_range = np.array([0, int(max_blobs)])
y_pred = intercept + slope * x_range
y_upper = y_pred + 2 * residual_std
y_lower = y_pred - 2 * residual_std

fig = go.Figure()

# Add ±2σ band
fig.add_trace(go.Scatter(
    x=np.concatenate([x_range, x_range[::-1]]),
    y=np.concatenate([y_upper, y_lower[::-1]]),
    fill="toself",
    fillcolor="rgba(100,100,100,0.2)",
    line=dict(width=0),
    name="±2σ band",
    hoverinfo="skip",
))

# Add regression line
fig.add_trace(go.Scatter(
    x=x_range,
    y=y_pred,
    mode="lines",
    line=dict(color="white", width=2, dash="dash"),
    name="Expected",
))

# Normal points (sample to avoid overplotting)
df_normal = df_anomaly[~df_anomaly["is_anomaly"]]
if len(df_normal) > 2000:
    df_normal = df_normal.sample(2000, random_state=42)

fig.add_trace(go.Scatter(
    x=df_normal["blob_count"],
    y=df_normal["block_first_seen_ms"],
    mode="markers",
    marker=dict(size=4, color="rgba(100,150,200,0.4)"),
    name=f"Normal ({len(df_anomaly) - n_anomalies:,})",
    hoverinfo="skip",
))

# Anomaly points
fig.add_trace(go.Scatter(
    x=df_outliers["blob_count"],
    y=df_outliers["block_first_seen_ms"],
    mode="markers",
    marker=dict(
        size=7,
        color="#e74c3c",
        line=dict(width=1, color="white"),
    ),
    name=f"Anomalies ({n_anomalies:,})",
    customdata=np.column_stack([
        df_outliers["slot"],
        df_outliers["residual_ms"].round(0),
        df_outliers["relay"],
    ]),
    hovertemplate="<b>Slot %{customdata[0]}</b><br>Blobs: %{x}<br>Actual: %{y:.0f}ms<br>+%{customdata[1]}ms vs expected<br>Relay: %{customdata[2]}<extra></extra>",
))

fig.update_layout(
    margin=dict(l=60, r=30, t=30, b=60),
    xaxis=dict(title="Blob count", range=[-0.5, int(max_blobs) + 0.5]),
    yaxis=dict(title="Block first seen (ms from slot start)"),
    legend=dict(orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1),
    height=500,
)
fig.show(config={"responsive": True})

All propagation anomalies

Blocks that propagated much slower than expected given their blob count, sorted by residual (worst first).

Show code
# All anomalies table with selectable text and Lab links
if n_anomalies > 0:
    df_table = df_outliers.sort_values("residual_ms", ascending=False)[
        ["slot", "blob_count", "block_first_seen_ms", "expected_ms", "residual_ms", "proposer", "builder", "relay"]
    ].copy()
    df_table["block_first_seen_ms"] = df_table["block_first_seen_ms"].round(0).astype(int)
    df_table["expected_ms"] = df_table["expected_ms"].round(0).astype(int)
    df_table["residual_ms"] = df_table["residual_ms"].round(0).astype(int)
    
    # Build HTML table
    html = '''
    <style>
    .anomaly-table { border-collapse: collapse; width: 100%; font-family: monospace; font-size: 13px; }
    .anomaly-table th { background: #2c3e50; color: white; padding: 8px 12px; text-align: left; position: sticky; top: 0; }
    .anomaly-table td { padding: 6px 12px; border-bottom: 1px solid #eee; }
    .anomaly-table tr:hover { background: #f5f5f5; }
    .anomaly-table .num { text-align: right; }
    .anomaly-table .delta { background: #ffebee; color: #c62828; font-weight: bold; }
    .anomaly-table a { color: #1976d2; text-decoration: none; }
    .anomaly-table a:hover { text-decoration: underline; }
    .table-container { max-height: 600px; overflow-y: auto; }
    </style>
    <div class="table-container">
    <table class="anomaly-table">
    <thead>
    <tr><th>Slot</th><th class="num">Blobs</th><th class="num">Actual (ms)</th><th class="num">Expected (ms)</th><th class="num">Δ (ms)</th><th>Proposer</th><th>Builder</th><th>Relay</th></tr>
    </thead>
    <tbody>
    '''
    
    for _, row in df_table.iterrows():
        slot_link = f'<a href="https://lab.ethpandaops.io/ethereum/slots/{row["slot"]}" target="_blank">{row["slot"]}</a>'
        html += f'''<tr>
            <td>{slot_link}</td>
            <td class="num">{row["blob_count"]}</td>
            <td class="num">{row["block_first_seen_ms"]}</td>
            <td class="num">{row["expected_ms"]}</td>
            <td class="num delta">+{row["residual_ms"]}</td>
            <td>{row["proposer"]}</td>
            <td>{row["builder"]}</td>
            <td>{row["relay"]}</td>
        </tr>'''
    
    html += '</tbody></table></div>'
    display(HTML(html))
    print(f"\nTotal anomalies: {len(df_table):,}")
else:
    print("No anomalies detected.")
SlotBlobsActual (ms)Expected (ms)Δ (ms)ProposerBuilderRelay
13839071 0 16569 1761 +14808 solo_stakers Local Local
13836481 0 7304 1761 +5543 consensyscodefi_lido Local Local
13840256 0 5899 1761 +4138 upbit Local Local
13838752 9 4766 1891 +2875 upbit Local Local
13835200 5 4519 1833 +2686 upbit Local Local
13839264 0 4433 1761 +2672 upbit Local Local
13838081 0 4401 1761 +2640 everstake Local Local
13839198 0 4202 1761 +2441 stakefish Local Local
13836521 0 4178 1761 +2417 ether.fi Local Local
13835008 0 4146 1761 +2385 upbit Local Local
13836393 0 4132 1761 +2371 whale_0x8ebd Local Local
13835456 0 4107 1761 +2346 coinbase Local Local
13836480 0 4107 1761 +2346 luno 0xb26f9666... Titan Relay
13836768 0 4096 1761 +2335 blockdaemon 0xb26f9666... Titan Relay
13837555 0 4050 1761 +2289 whale_0x8ebd 0x8527d16c... Ultra Sound
13840064 0 4014 1761 +2253 nethermind_lido Local Local
13836928 1 4002 1776 +2226 bitstamp 0x855b00e6... BloXroute Max Profit
13836892 0 3968 1761 +2207 luno Local Local
13837627 0 3960 1761 +2199 kraken Local Local
13836288 0 3948 1761 +2187 whale_0x8e69 0x853b0078... BloXroute Max Profit
13836792 0 3929 1761 +2168 everstake Local Local
13835003 0 3908 1761 +2147 stakefish Local Local
13836640 0 3889 1761 +2128 coinbase Local Local
13836544 0 3876 1761 +2115 nethermind_lido 0x8db2a99d... Ultra Sound
13837661 0 3817 1761 +2056 whale_0x8ebd 0x8527d16c... Ultra Sound
13835123 0 3793 1761 +2032 coinbase 0x88a53ec4... Aestus
13837849 8 3895 1876 +2019 0xb26f9666... Titan Relay
13836473 1 3794 1776 +2018 everstake 0xb26f9666... Titan Relay
13836680 0 3737 1761 +1976 revolut 0xb26f9666... Titan Relay
13837102 16 3956 1992 +1964 blockdaemon 0x857b0038... Ultra Sound
13836478 1 3739 1776 +1963 blockdaemon_lido 0xb26f9666... Titan Relay
13839904 5 3789 1833 +1956 stakefish 0x8527d16c... Ultra Sound
13836927 6 3801 1848 +1953 0x8a850621... Ultra Sound
13837869 5 3775 1833 +1942 blockdaemon_lido 0xb67eaa5e... Titan Relay
13837635 1 3708 1776 +1932 whale_0x8ebd 0x850b00e0... Flashbots
13838020 0 3691 1761 +1930 kraken 0xb26f9666... Titan Relay
13836606 1 3697 1776 +1921 kraken 0xb26f9666... EthGas
13837090 5 3738 1833 +1905 everstake 0x856b0004... Aestus
13836891 13 3852 1948 +1904 whale_0x8ebd 0x856b0004... BloXroute Max Profit
13836937 0 3664 1761 +1903 whale_0x8ebd 0xb26f9666... Titan Relay
13839365 1 3674 1776 +1898 stakefish Local Local
13835019 8 3765 1876 +1889 nethermind_lido 0xb26f9666... Titan Relay
13836620 8 3750 1876 +1874 kraken 0xb26f9666... EthGas
13836889 0 3633 1761 +1872 everstake Local Local
13836683 0 3632 1761 +1871 blockdaemon 0xb4ce6162... Ultra Sound
13836762 0 3622 1761 +1861 whale_0x8ebd 0xb67eaa5e... BloXroute Max Profit
13836727 6 3705 1848 +1857 whale_0x8ebd 0x88857150... Ultra Sound
13838259 6 3705 1848 +1857 nethermind_lido 0x850b00e0... BloXroute Max Profit
13837157 5 3664 1833 +1831 whale_0x8ebd Local Local
13837137 3 3633 1804 +1829 everstake 0xb26f9666... Titan Relay
13838121 2 3618 1790 +1828 everstake 0x856b0004... BloXroute Max Profit
13837202 5 3648 1833 +1815 blockdaemon 0xb26f9666... Titan Relay
13837625 6 3652 1848 +1804 ether.fi 0xb26f9666... EthGas
13836599 0 3562 1761 +1801 coinbase 0x8db2a99d... Aestus
13838632 2 3573 1790 +1783 stakefish Local Local
13836607 10 3683 1905 +1778 nethermind_lido 0x88a53ec4... BloXroute Max Profit
13836462 1 3549 1776 +1773 everstake 0x8527d16c... Ultra Sound
13836597 1 3539 1776 +1763 solo_stakers 0x8527d16c... Ultra Sound
13838108 1 3532 1776 +1756 stakefish Local Local
13837648 7 3615 1862 +1753 everstake 0x853b0078... Agnostic Gnosis
13837183 5 3581 1833 +1748 nethermind_lido 0x855b00e6... BloXroute Max Profit
13836717 3 3551 1804 +1747 blockdaemon_lido 0x88857150... Ultra Sound
13839754 3 3546 1804 +1742 nethermind_lido 0x88a53ec4... BloXroute Max Profit
13837335 1 3517 1776 +1741 whale_0x8ebd 0x88a53ec4... BloXroute Regulated
13836432 9 3632 1891 +1741 blockdaemon_lido 0xb4ce6162... Ultra Sound
13838598 4 3559 1819 +1740 whale_0x8ebd 0x8527d16c... Ultra Sound
13838067 0 3495 1761 +1734 staked.us 0xb26f9666... Titan Relay
13835253 0 3492 1761 +1731 nethermind_lido 0xb67eaa5e... BloXroute Max Profit
13836894 8 3603 1876 +1727 kiln 0xb26f9666... Titan Relay
13841856 1 3502 1776 +1726 blockdaemon 0x88857150... Ultra Sound
13841879 10 3629 1905 +1724 stakefish Local Local
13840958 1 3480 1776 +1704 nethermind_lido 0xb67eaa5e... BloXroute Max Profit
13836819 5 3534 1833 +1701 stader 0x88a53ec4... BloXroute Regulated
13834885 0 3461 1761 +1700 nethermind_lido 0x8db2a99d... Ultra Sound
13837870 6 3544 1848 +1696 ether.fi 0xb26f9666... Titan Relay
13839633 7 3557 1862 +1695 stakefish Local Local
13839176 6 3542 1848 +1694 stakefish Local Local
13837610 8 3570 1876 +1694 stakingfacilities_lido 0xb26f9666... Titan Relay
13838496 0 3454 1761 +1693 blockdaemon 0xb26f9666... Titan Relay
13838348 5 3523 1833 +1690 whale_0x8ebd 0x857b0038... Ultra Sound
13838343 5 3515 1833 +1682 nethermind_lido 0x850b00e0... Flashbots
13840799 5 3511 1833 +1678 whale_0x8ebd 0xb4ce6162... Ultra Sound
13839648 3 3473 1804 +1669 blockdaemon 0x8a850621... Titan Relay
13839812 6 3515 1848 +1667 blockdaemon 0xb4ce6162... Ultra Sound
13837812 12 3598 1934 +1664 nethermind_lido 0x88a53ec4... BloXroute Max Profit
13838480 0 3424 1761 +1663 nethermind_lido 0xb26f9666... Titan Relay
13835936 11 3578 1920 +1658 blockdaemon_lido 0x8527d16c... Ultra Sound
13839527 1 3433 1776 +1657 lido 0x853b0078... BloXroute Max Profit
13840045 6 3505 1848 +1657 blockdaemon_lido 0x8527d16c... Ultra Sound
13836303 11 3577 1920 +1657 whale_0x8ebd 0x823e0146... Flashbots
13837120 3 3457 1804 +1653 stakingfacilities_lido 0x88a53ec4... BloXroute Max Profit
13841202 8 3529 1876 +1653 whale_0xad1d Local Local
13841314 9 3530 1891 +1639 nethermind_lido 0x856b0004... BloXroute Max Profit
13837189 5 3469 1833 +1636 whale_0x8ebd 0x8a850621... Titan Relay
13841038 5 3463 1833 +1630 stakefish Local Local
13841538 0 3388 1761 +1627 whale_0x8ebd 0x8db2a99d... Ultra Sound
13838105 4 3444 1819 +1625 whale_0x8ebd 0xb4ce6162... Ultra Sound
13836885 9 3516 1891 +1625 nethermind_lido 0x850b00e0... BloXroute Max Profit
13837626 0 3384 1761 +1623 blockdaemon 0x853b0078... Ultra Sound
13836975 1 3395 1776 +1619 ether.fi 0x823e0146... Flashbots
13836780 9 3501 1891 +1610 whale_0x7791 0xb26f9666... Titan Relay
13836617 0 3367 1761 +1606 everstake 0x8db2a99d... BloXroute Max Profit
13839145 0 3361 1761 +1600 whale_0x8ebd 0x8a850621... Titan Relay
13838831 6 3447 1848 +1599 stakefish Local Local
13840160 0 3360 1761 +1599 nethermind_lido 0x88a53ec4... BloXroute Max Profit
13834848 5 3432 1833 +1599 bitstamp 0x88a53ec4... BloXroute Max Profit
13836090 3 3399 1804 +1595 everstake 0x853b0078... BloXroute Max Profit
13838035 10 3498 1905 +1593 blockdaemon 0x8527d16c... Ultra Sound
13838266 0 3353 1761 +1592 everstake 0x853b0078... Agnostic Gnosis
13835250 1 3367 1776 +1591 whale_0x8ebd 0xac23f8cc... Ultra Sound
13836136 5 3424 1833 +1591 nethermind_lido 0xb26f9666... Titan Relay
13834942 0 3351 1761 +1590 blockdaemon_lido 0xb26f9666... Titan Relay
13836289 0 3348 1761 +1587 gateway.fmas_lido 0x852b0070... BloXroute Max Profit
13837338 0 3342 1761 +1581 0x8a850621... Titan Relay
13841346 0 3342 1761 +1581 blockdaemon 0xb67eaa5e... BloXroute Max Profit
13837198 5 3413 1833 +1580 p2porg 0xb26f9666... Titan Relay
13840296 10 3485 1905 +1580 nethermind_lido 0x850b00e0... BloXroute Max Profit
13840626 6 3426 1848 +1578 coinbase 0x91b123d8... Aestus
13835532 3 3377 1804 +1573 whale_0x8ebd 0xb67eaa5e... BloXroute Max Profit
13835934 9 3463 1891 +1572 whale_0x8ebd 0x8a850621... Titan Relay
13835468 5 3402 1833 +1569 everstake 0x853b0078... BloXroute Regulated
13839420 5 3398 1833 +1565 stakefish Local Local
13840832 3 3363 1804 +1559 bitstamp 0x856b0004... BloXroute Max Profit
13836608 0 3316 1761 +1555 abyss_finance 0x83cae7e5... Titan Relay
13841689 1 3328 1776 +1552 luno 0xb26f9666... Titan Relay
13840502 0 3312 1761 +1551 blockdaemon 0xb67eaa5e... BloXroute Regulated
13841206 3 3355 1804 +1551 whale_0x8ebd 0xb4ce6162... Ultra Sound
13838409 2 3340 1790 +1550 blockdaemon 0xb26f9666... Titan Relay
13838900 0 3309 1761 +1548 luno 0xb26f9666... Titan Relay
13840086 6 3395 1848 +1547 blockdaemon 0xb26f9666... Titan Relay
13837406 5 3380 1833 +1547 everstake 0x8527d16c... Ultra Sound
13841924 5 3378 1833 +1545 blockdaemon_lido 0x853b0078... Ultra Sound
13840897 3 3342 1804 +1538 blockdaemon 0x855b00e6... BloXroute Max Profit
13836542 2 3327 1790 +1537 luno 0x8527d16c... Ultra Sound
13840372 0 3296 1761 +1535 whale_0x8ebd 0x8527d16c... Ultra Sound
13837243 0 3295 1761 +1534 whale_0x8ebd 0x8527d16c... Ultra Sound
13839799 5 3367 1833 +1534 ether.fi 0x853b0078... Agnostic Gnosis
13837839 1 3309 1776 +1533 kiln 0xb26f9666... Titan Relay
13838532 6 3381 1848 +1533 blockdaemon_lido 0x8527d16c... Ultra Sound
13838355 6 3381 1848 +1533 whale_0xdc8d 0x88510a78... BloXroute Regulated
13836871 3 3337 1804 +1533 blockdaemon 0x850b00e0... BloXroute Regulated
13839203 7 3394 1862 +1532 whale_0x8ebd 0x8527d16c... Ultra Sound
13835255 5 3364 1833 +1531 whale_0x8ebd 0x8db2a99d... Ultra Sound
13838265 5 3361 1833 +1528 everstake 0x856b0004... BloXroute Max Profit
13837895 3 3331 1804 +1527 blockdaemon 0x8a850621... Titan Relay
13841556 4 3345 1819 +1526 luno 0x88a53ec4... BloXroute Regulated
13835463 0 3287 1761 +1526 blockdaemon_lido 0x88a53ec4... BloXroute Max Profit
13835534 6 3373 1848 +1525 blockdaemon_lido 0x88a53ec4... BloXroute Regulated
13841373 6 3373 1848 +1525 stakefish Local Local
13834932 0 3285 1761 +1524 stakefish Local Local
13835865 7 3384 1862 +1522 blockdaemon 0xb7c5fbdd... BloXroute Max Profit
13840234 5 3355 1833 +1522 whale_0x8ebd 0xb67eaa5e... BloXroute Max Profit
13834979 5 3353 1833 +1520 stakefish Local Local
13837265 3 3322 1804 +1518 luno 0x850b00e0... BloXroute Regulated
13837899 6 3363 1848 +1515 everstake 0x853b0078... BloXroute Regulated
13836993 9 3403 1891 +1512 blockdaemon 0x8a850621... Titan Relay
13838692 6 3358 1848 +1510 whale_0xdc8d 0x850b00e0... BloXroute Regulated
13834969 10 3413 1905 +1508 blockdaemon_lido 0x88a53ec4... BloXroute Regulated
13839579 2 3297 1790 +1507 nethermind_lido 0xb26f9666... Titan Relay
13839680 0 3267 1761 +1506 everstake 0xac23f8cc... Aestus
13836434 0 3267 1761 +1506 kraken 0xb26f9666... EthGas
13837128 11 3423 1920 +1503 0xb67eaa5e... BloXroute Regulated
13835266 4 3322 1819 +1503 stakefish Local Local
13840150 5 3336 1833 +1503 blockdaemon 0xb4ce6162... Ultra Sound
13836258 0 326