Fri, Feb 20, 2026

Propagation anomalies - 2026-02-20

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 >= '2026-02-20' AND slot_start_date_time < '2026-02-20'::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 >= '2026-02-20' AND slot_start_date_time < '2026-02-20'::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 >= '2026-02-20' AND slot_start_date_time < '2026-02-20'::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 >= '2026-02-20' AND slot_start_date_time < '2026-02-20'::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 >= '2026-02-20' AND slot_start_date_time < '2026-02-20'::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 >= '2026-02-20' AND slot_start_date_time < '2026-02-20'::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 >= '2026-02-20' AND slot_start_date_time < '2026-02-20'::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 >= '2026-02-20' AND slot_start_date_time < '2026-02-20'::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: 7,188
MEV blocks: 6,699 (93.2%)
Local blocks: 489 (6.8%)

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 = 1735.4 + 15.94 × blob_count (R² = 0.011)
Residual σ = 629.9ms
Anomalies (>2σ slow): 373 (5.2%)
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
13730918 0 6651 1735 +4916 whale_0x1980 Local Local
13731461 0 6014 1735 +4279 whale_0x1435 Local Local
13729729 0 4975 1735 +3240 solo_stakers Local Local
13732000 8 4559 1863 +2696 upbit Local Local
13729728 5 4489 1815 +2674 upbit Local Local
13733056 4 4429 1799 +2630 upbit Local Local
13730496 0 4307 1735 +2572 upbit Local Local
13729856 0 4096 1735 +2361 upbit Local Local
13733811 0 4035 1735 +2300 whale_0xdd6c Local Local
13727185 0 4022 1735 +2287 csm_operator171_lido Local Local
13731651 3 3859 1783 +2076 solo_stakers 0x8527d16c... Ultra Sound
13733155 6 3831 1831 +2000 solo_stakers Local Local
13726844 0 3705 1735 +1970 kucoin Local Local
13730784 3 3655 1783 +1872 liquid_collective 0xb26f9666... Titan Relay
13731634 0 3604 1735 +1869 blockdaemon 0xa412c4b8... Ultra Sound
13731918 7 3714 1847 +1867 0x850b00e0... BloXroute Regulated
13729568 6 3695 1831 +1864 revolut 0xb26f9666... Titan Relay
13728865 0 3598 1735 +1863 whale_0xdc8d 0xb26f9666... Titan Relay
13728141 10 3709 1895 +1814 whale_0xdc8d 0x850b00e0... BloXroute Regulated
13728207 1 3558 1751 +1807 0x8527d16c... Ultra Sound
13727977 1 3550 1751 +1799 revolut 0xb26f9666... Titan Relay
13732809 8 3653 1863 +1790 blockdaemon 0xb26f9666... Titan Relay
13727852 0 3524 1735 +1789 whale_0xdc8d 0x8527d16c... Ultra Sound
13728338 5 3603 1815 +1788 whale_0xdc8d 0x8527d16c... Ultra Sound
13732688 0 3511 1735 +1776 whale_0x8ebd Local Local
13732275 15 3727 1974 +1753 whale_0x8ebd 0x88a53ec4... BloXroute Regulated
13731104 3 3522 1783 +1739 blockdaemon 0xb4ce6162... Ultra Sound
13731011 6 3564 1831 +1733 figment 0xb26f9666... BloXroute Regulated
13729813 0 3461 1735 +1726 blockdaemon 0x88857150... Ultra Sound
13728201 1 3460 1751 +1709 whale_0xc541 0x88857150... Ultra Sound
13731733 20 3749 2054 +1695 0x855b00e6... BloXroute Max Profit
13732072 5 3507 1815 +1692 p2porg 0x856b0004... Agnostic Gnosis
13733876 0 3403 1735 +1668 blockdaemon 0xb4ce6162... Ultra Sound
13731471 0 3402 1735 +1667 whale_0xdd6c 0xa1da2978... Ultra Sound
13732736 2 3424 1767 +1657 blockdaemon_lido 0x850b00e0... BloXroute Regulated
13732856 6 3487 1831 +1656 blockdaemon_lido 0x855b00e6... Ultra Sound
13731390 11 3560 1911 +1649 everstake 0xb67eaa5e... BloXroute Regulated
13730621 6 3477 1831 +1646 blockdaemon 0x8527d16c... Ultra Sound
13729112 6 3470 1831 +1639 solo_stakers Local Local
13733297 6 3467 1831 +1636 blockdaemon_lido 0xb26f9666... Titan Relay
13728680 12 3559 1927 +1632 0x82c466b9... BloXroute Regulated
13731965 12 3554 1927 +1627 blockdaemon 0xb4ce6162... Ultra Sound
13730404 8 3490 1863 +1627 everstake 0x853b0078... Aestus
13728636 5 3430 1815 +1615 blockdaemon 0xb4ce6162... Ultra Sound
13728704 1 3362 1751 +1611 stakingfacilities_lido 0x8527d16c... Ultra Sound
13733492 11 3520 1911 +1609 blockdaemon_lido 0x850b00e0... BloXroute Regulated
13726963 0 3337 1735 +1602 everstake 0xb26f9666... Titan Relay
13728987 7 3439 1847 +1592 luno 0x850b00e0... BloXroute Regulated
13730274 0 3324 1735 +1589 everstake 0x8527d16c... Ultra Sound
13733835 9 3464 1879 +1585 ether.fi Local Local
13729414 3 3368 1783 +1585 ether.fi 0x88a53ec4... BloXroute Regulated
13730606 6 3412 1831 +1581 blockdaemon_lido 0x8527d16c... Ultra Sound
13731813 2 3344 1767 +1577 blockdaemon_lido 0x88510a78... BloXroute Regulated
13732686 9 3454 1879 +1575 ether.fi 0xb67eaa5e... BloXroute Regulated
13730828 6 3400 1831 +1569 luno 0x88a53ec4... BloXroute Regulated
13729011 6 3399 1831 +1568 blockdaemon_lido 0xb67eaa5e... BloXroute Regulated
13731409 5 3383 1815 +1568 everstake 0x88a53ec4... BloXroute Max Profit
13732576 6 3394 1831 +1563 stakingfacilities_lido 0x8db2a99d... BloXroute Max Profit
13729067 6 3393 1831 +1562 blockdaemon_lido 0xb26f9666... Titan Relay
13731961 1 3313 1751 +1562 blockdaemon 0xb26f9666... Titan Relay
13729869 2 3327 1767 +1560 blockdaemon_lido 0x88857150... Ultra Sound
13729367 0 3291 1735 +1556 nethermind_lido 0xb67eaa5e... BloXroute Regulated
13730113 0 3290 1735 +1555 whale_0x8ebd 0x857b0038... Ultra Sound
13728106 0 3288 1735 +1553 ether.fi 0xb67eaa5e... EthGas
13728789 6 3381 1831 +1550 everstake 0x853b0078... Aestus
13733444 8 3409 1863 +1546 blockdaemon 0x88a53ec4... BloXroute Regulated
13733680 0 3281 1735 +1546 blockdaemon 0x850b00e0... BloXroute Regulated
13733717 0 3280 1735 +1545 blockdaemon 0x850b00e0... BloXroute Max Profit
13731236 0 3279 1735 +1544 blockdaemon 0x850b00e0... BloXroute Regulated
13730596 5 3355 1815 +1540 blockdaemon_lido 0x88857150... Ultra Sound
13733862 6 3370 1831 +1539 blockdaemon_lido 0xb67eaa5e... BloXroute Regulated
13733417 0 3274 1735 +1539 everstake 0xb26f9666... Titan Relay
13731652 0 3273 1735 +1538 everstake 0xb26f9666... Titan Relay
13726960 8 3399 1863 +1536 everstake 0xb26f9666... Aestus
13731610 3 3319 1783 +1536 everstake 0x823e0146... Flashbots
13730938 2 3300 1767 +1533 blockdaemon_lido 0x850b00e0... BloXroute Regulated
13732730 1 3283 1751 +1532 blockdaemon 0x88510a78... BloXroute Regulated
13729377 5 3340 1815 +1525 blockdaemon 0x850b00e0... BloXroute Regulated
13732506 0 3260 1735 +1525 luno 0xb67eaa5e... BloXroute Regulated
13729130 5 3338 1815 +1523 blockdaemon_lido 0x88857150... Ultra Sound
13732925 5 3337 1815 +1522 blockdaemon 0xb26f9666... Titan Relay
13726938 3 3305 1783 +1522 everstake 0xb26f9666... Titan Relay
13730451 2 3289 1767 +1522 blockdaemon 0x853b0078... Ultra Sound
13732224 8 3383 1863 +1520 stakingfacilities_lido 0x8527d16c... Ultra Sound
13731230 4 3318 1799 +1519 blockdaemon 0xb26f9666... Titan Relay
13727076 5 3332 1815 +1517 blockdaemon_lido 0x850b00e0... BloXroute Max Profit
13733234 5 3330 1815 +1515 luno 0xb26f9666... Titan Relay
13731939 3 3297 1783 +1514 everstake 0x88857150... Ultra Sound
13732835 3 3297 1783 +1514 everstake 0x8527d16c... Ultra Sound
13732080 0 3249 1735 +1514 everstake 0x852b0070... BloXroute Max Profit
13728219 6 3342 1831 +1511 blockdaemon_lido 0x856b0004... Ultra Sound
13733979 6 3342 1831 +1511 luno 0x88510a78... BloXroute Regulated
13732085 3 3290 1783 +1507 figment 0x8527d16c... Ultra Sound
13730875 0 3241 1735 +1506 kelp 0x851b00b1... Flashbots
13730677 5 3320 1815 +1505 blockdaemon_lido 0x850b00e0... BloXroute Regulated
13728661 1 3256 1751 +1505 everstake 0x88857150... Ultra Sound
13733315 1 3256 1751 +1505 whale_0xdc8d 0x8527d16c... Ultra Sound
13732028 0 3239 1735 +1504 everstake 0x8527d16c... Ultra Sound
13728256 5 3318 1815 +1503 ether.fi 0x8db2a99d... BloXroute Max Profit
13729446 6 3331 1831 +1500 blockdaemon_lido 0x88857150... Ultra Sound
13729004 4 3298 1799 +1499 luno 0xb67eaa5e... BloXroute Regulated
13729250 8 3361 1863 +1498 everstake 0x856b0004... Agnostic Gnosis
13732214 1 3248 1751 +1497 everstake 0xb26f9666... Aestus
13733231 3 3276 1783 +1493 0x850b00e0... BloXroute Regulated
13729866 3 3275 1783 +1492 whale_0xdc8d 0xb26f9666... Titan Relay
13728820 7 3333 1847 +1486 blockdaemon 0x82c466b9... BloXroute Regulated
13728299 5 3301 1815 +1486 blockdaemon_lido 0x88857150... Ultra Sound
13732393 8 3347 1863 +1484 blockdaemon 0xb26f9666... Titan Relay
13733794 6 3314 1831 +1483 everstake 0x853b0078... Aestus
13732035 0 3214 1735 +1479 blockdaemon 0x8527d16c... Ultra Sound
13726883 5 3293 1815 +1478 blockdaemon 0x88857150... Ultra Sound
13729444 0 3213 1735 +1478 everstake 0x855b00e6... BloXroute Max Profit
13732914 10 3372 1895 +1477 everstake 0xb67eaa5e... BloXroute Max Profit
13730928 9 3355 1879 +1476 everstake 0x856b0004... Aestus
13728055 0 3211 1735 +1476 blockdaemon 0x88857150... Ultra Sound
13730091 5 3289 1815 +1474 everstake 0x855b00e6... BloXroute Max Profit
13731220 9 3350 1879 +1471 blockdaemon 0x853b0078... Ultra Sound
13730301 8 3333 1863 +1470 kiln 0x88a53ec4... BloXroute Max Profit
13726893 4 3267 1799 +1468 solo_stakers 0x855b00e6... BloXroute Max Profit
13731002 17 3472 2006 +1466 blockdaemon 0xa230e2cf... BloXroute Regulated
13732528 5 3280 1815 +1465 blockdaemon_lido 0x88a53ec4... BloXroute Regulated
13733120 8 3327 1863 +1464 everstake 0x856b0004... BloXroute Max Profit
13728624 11 3374 1911 +1463 blockdaemon 0x853b0078... Ultra Sound
13728892 3 3246 1783 +1463 everstake 0x88857150... Ultra Sound
13728500 5 3277 1815 +1462 blockdaemon_lido 0x853b0078... Ultra Sound
13727816 9 3339 1879 +1460 blockdaemon_lido 0xb26f9666... Titan Relay
13733267 6 3290 1831 +1459 blockdaemon 0xb26f9666... Titan Relay
13728020 5 3274 1815 +1459 0xb4ce6162... Ultra Sound
13729254 3 3242 1783 +1459 gateway.fmas_lido 0x88a53ec4... BloXroute Max Profit
13728442 18 3480 2022 +1458 whale_0xdd6c 0x856b0004... Agnostic Gnosis
13730997 9 3336 1879 +1457 whale_0xdc8d 0x8527d16c... Ultra Sound
13732546 0 3192 1735 +1457 solo_stakers 0x853b0078... Agnostic Gnosis
13732301 8 3319 1863 +1456 blockdaemon 0xb26f9666... BloXroute Regulated
13730020 0 3191 1735 +1456 kiln 0x8527d16c... Ultra Sound
13733125 9 3332 1879 +1453 whale_0x8ebd 0xb67eaa5e... BloXroute Max Profit
13733159 4 3249 1799 +1450 everstake 0x853b0078... BloXroute Max Profit
13731386 0 3185 1735 +1450 stakingfacilities_lido 0xb26f9666... Titan Relay
13730557 1 3200 1751 +1449 whale_0x8ebd 0x88a53ec4... BloXroute Regulated
13732662 9 3325 1879 +1446 luno 0xb26f9666... Titan Relay
13727258 8 3308 1863 +1445 everstake 0x8db2a99d... BloXroute Max Profit
13727249 8 3308 1863 +1445 everstake 0x8527d16c... Ultra Sound
13729090 0 3179 1735 +1444 ether.fi 0x8527d16c... Ultra Sound
13732316 10 3338 1895 +1443 blockdaemon_lido 0xb26f9666... Titan Relay
13732647 6 3274 1831 +1443 ether.fi 0x853b0078... Ultra Sound
13733418 10 3336 1895 +1441 whale_0xdc8d 0x8527d16c... Ultra Sound
13727570 8 3303 1863 +1440 luno 0x8527d16c... Ultra Sound
13729852 5 3255 1815 +1440 everstake 0x8527d16c... Ultra Sound
13733412 9 3316 1879 +1437 everstake 0x8527d16c... Ultra Sound
13730153 12 3363 1927 +1436 blockdaemon 0x853b0078... Ultra Sound
13729357 5 3245 1815 +1430 p2porg 0x856b0004... Agnostic Gnosis
13730786 5 3245 1815 +1430 blockdaemon_lido 0x853b0078... Ultra Sound
13733537 5 3245 1815 +1430 stakingfacilities_lido 0x88a53ec4... BloXroute Max Profit
13732394 0 3165 1735 +1430 gateway.fmas_lido 0x8527d16c... Ultra Sound
13731585 0 3163 1735 +1428 0xa412c4b8... Ultra Sound
13731662 5 3242 1815 +1427 ether.fi 0xb26f9666... Titan Relay
13733613 8 3288 1863 +1425 ether.fi 0xb26f9666... Titan Relay
13733914 6 3256 1831 +1425 everstake 0x856b0004... Aestus