Fri, Apr 10, 2026

Propagation anomalies - 2026-04-10

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 >= '2026-04-10' AND slot_start_date_time < '2026-04-10'::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 >= '2026-04-10' AND slot_start_date_time < '2026-04-10'::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 >= '2026-04-10' AND slot_start_date_time < '2026-04-10'::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 >= '2026-04-10' AND slot_start_date_time < '2026-04-10'::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 >= '2026-04-10' AND slot_start_date_time < '2026-04-10'::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 >= '2026-04-10' AND slot_start_date_time < '2026-04-10'::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 >= '2026-04-10' AND slot_start_date_time < '2026-04-10'::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 >= '2026-04-10' AND slot_start_date_time < '2026-04-10'::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: 7,177
MEV blocks: 6,696 (93.3%)
Local blocks: 481 (6.7%)

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 = 1678.1 + 21.37 × blob_count (R² = 0.016)
Residual σ = 598.1ms
Anomalies (>2σ slow): 430 (6.0%)
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
14084448 17 6726 2041 +4685 upbit Local Local
14086144 0 6006 1678 +4328 abyss_finance Local Local
14080896 0 5687 1678 +4009 upbit Local Local
14082976 0 5675 1678 +3997 abyss_finance Local Local
14083441 5 5631 1785 +3846 whale_0xba8f Local Local
14079686 0 5249 1678 +3571 senseinode_lido Local Local
14080672 0 5073 1678 +3395 upbit Local Local
14083648 0 4890 1678 +3212 solo_stakers Local Local
14083040 0 4652 1678 +2974 upbit Local Local
14084449 0 4009 1678 +2331 whale_0x9212 Local Local
14081326 0 4006 1678 +2328 solo_stakers Local Local
14085138 0 3970 1678 +2292 solo_stakers Local Local
14080640 0 3942 1678 +2264 blockdaemon_lido Local Local
14081654 0 3853 1678 +2175 blockdaemon Local Local
14084670 6 3900 1806 +2094 solo_stakers Local Local
14080211 2 3781 1721 +2060 blockdaemon 0xb4ce6162... Ultra Sound
14085304 1 3552 1699 +1853 luno 0xb67eaa5e... BloXroute Regulated
14084046 4 3567 1764 +1803 whale_0xba8f Local Local
14084264 13 3758 1956 +1802 kraken 0xb26f9666... EthGas
14080834 1 3493 1699 +1794 blockdaemon 0x8a850621... Titan Relay
14082483 1 3478 1699 +1779 ether.fi 0xb67eaa5e... BloXroute Regulated
14084165 0 3434 1678 +1756 nethermind_lido 0xb26f9666... Aestus
14085438 0 3432 1678 +1754 blockdaemon_lido 0x8527d16c... Ultra Sound
14085096 11 3642 1913 +1729 blockdaemon 0x856b0004... BloXroute Max Profit
14085320 0 3399 1678 +1721 blockdaemon_lido 0xb26f9666... Titan Relay
14084134 5 3494 1785 +1709 blockdaemon 0x88857150... Ultra Sound
14086207 0 3384 1678 +1706 blockdaemon 0x8527d16c... Ultra Sound
14085707 3 3428 1742 +1686 blockdaemon 0x88857150... Ultra Sound
14085359 10 3570 1892 +1678 blockdaemon 0xb67eaa5e... BloXroute Regulated
14080320 10 3568 1892 +1676 solo_stakers 0x85fb0503... Ultra Sound
14085519 2 3394 1721 +1673 coinbase 0x823e0146... Aestus
14081328 0 3343 1678 +1665 blockdaemon_lido 0x8527d16c... Ultra Sound
14081058 0 3343 1678 +1665 blockdaemon 0xb4ce6162... Ultra Sound
14084772 0 3336 1678 +1658 blockdaemon_lido 0x855b00e6... BloXroute Max Profit
14085722 0 3336 1678 +1658 blockdaemon 0xb26f9666... Titan Relay
14081450 6 3463 1806 +1657 blockdaemon 0x8a850621... Titan Relay
14083696 0 3332 1678 +1654 blockdaemon_lido 0x8527d16c... Ultra Sound
14079929 6 3447 1806 +1641 blockdaemon_lido 0xb67eaa5e... Titan Relay
14084528 5 3418 1785 +1633 blockdaemon 0x855b00e6... BloXroute Max Profit
14082221 1 3332 1699 +1633 0x9129eeb4... Ultra Sound
14081400 1 3327 1699 +1628 blockdaemon 0x8527d16c... Ultra Sound
14085200 5 3412 1785 +1627 nethermind_lido 0xb26f9666... Aestus
14086264 1 3326 1699 +1627 blockdaemon 0x853b0078... Ultra Sound
14085275 1 3324 1699 +1625 blockdaemon 0x8db2a99d... BloXroute Max Profit
14084341 3 3365 1742 +1623 blockdaemon 0xb26f9666... Titan Relay
14085551 9 3492 1870 +1622 ether.fi 0x8527d16c... Ultra Sound
14085472 1 3319 1699 +1620 p2porg 0x850b00e0... Flashbots
14085607 5 3403 1785 +1618 blockdaemon 0xb67eaa5e... BloXroute Max Profit
14080728 0 3295 1678 +1617 ether.fi 0x853b0078... BloXroute Max Profit
14085417 1 3314 1699 +1615 blockdaemon_lido 0x855b00e6... BloXroute Max Profit
14080803 1 3309 1699 +1610 blockdaemon 0x850b00e0... BloXroute Max Profit
14084044 1 3307 1699 +1608 blockdaemon_lido 0x9129eeb4... Ultra Sound
14081791 0 3283 1678 +1605 blockdaemon 0xb26f9666... Titan Relay
14083612 1 3304 1699 +1605 ether.fi 0xb26f9666... BloXroute Max Profit
14085990 0 3273 1678 +1595 blockdaemon_lido 0x82c466b9... Ultra Sound
14083341 1 3294 1699 +1595 0xb26f9666... Titan Relay
14085500 4 3352 1764 +1588 blockdaemon_lido 0x823e0146... BloXroute Max Profit
14085242 7 3414 1828 +1586 whale_0xdc8d 0x850b00e0... BloXroute Regulated
14082449 5 3368 1785 +1583 luno 0xb67eaa5e... BloXroute Max Profit
14081153 0 3260 1678 +1582 0x851b00b1... Ultra Sound
14085874 14 3559 1977 +1582 ether.fi 0xb26f9666... Titan Relay
14082836 6 3384 1806 +1578 coinbase 0x8db2a99d... Aestus
14082076 2 3284 1721 +1563 blockdaemon_lido 0x88857150... Ultra Sound
14079616 5 3346 1785 +1561 p2porg 0xb26f9666... BloXroute Regulated
14081264 5 3344 1785 +1559 blockdaemon 0x823e0146... Ultra Sound
14084788 0 3235 1678 +1557 whale_0x8ebd 0x823e0146... Flashbots
14083435 5 3336 1785 +1551 blockdaemon_lido 0x853b0078... Ultra Sound
14080666 0 3225 1678 +1547 whale_0x8ebd 0xa965c911... Ultra Sound
14085775 5 3330 1785 +1545 blockdaemon 0x88a53ec4... BloXroute Regulated
14084958 0 3220 1678 +1542 whale_0x8ebd 0x88857150... Ultra Sound
14084926 0 3219 1678 +1541 kiln Local Local
14085528 1 3238 1699 +1539 gateway.fmas_lido 0x88857150... Ultra Sound
14084499 8 3383 1849 +1534 blockdaemon_lido 0x8527d16c... Ultra Sound
14085367 3 3268 1742 +1526 blockdaemon_lido 0xb67eaa5e... Titan Relay
14081793 7 3346 1828 +1518 blockdaemon_lido 0xb26f9666... Titan Relay
14086548 1 3217 1699 +1518 solo_stakers Local Local
14083338 0 3186 1678 +1508 coinbase 0xb26f9666... Aestus
14083770 10 3395 1892 +1503 blockdaemon_lido 0xb26f9666... Titan Relay
14083975 1 3200 1699 +1501 whale_0x8ebd 0x8527d16c... Ultra Sound
14084946 0 3175 1678 +1497 whale_0x8ebd 0x8527d16c... Ultra Sound
14080893 0 3173 1678 +1495 blockdaemon_lido 0xb26f9666... Titan Relay
14081364 0 3171 1678 +1493 gateway.fmas_lido 0xb67eaa5e... BloXroute Max Profit
14085648 7 3320 1828 +1492 blockdaemon 0xb4ce6162... Ultra Sound
14085655 5 3277 1785 +1492 blockdaemon_lido 0x8527d16c... Ultra Sound
14079992 6 3298 1806 +1492 blockdaemon_lido 0x850b00e0... BloXroute Max Profit
14081439 6 3294 1806 +1488 blockdaemon_lido 0x8527d16c... Ultra Sound
14083043 5 3272 1785 +1487 gateway.fmas_lido 0xb67eaa5e... BloXroute Max Profit
14083402 5 3271 1785 +1486 bitstamp 0xb67eaa5e... BloXroute Max Profit
14079621 2 3204 1721 +1483 gateway.fmas_lido 0x856b0004... BloXroute Max Profit
14085920 5 3268 1785 +1483 blockdaemon_lido 0xb26f9666... Titan Relay
14080276 0 3160 1678 +1482 blockdaemon_lido 0x88a53ec4... BloXroute Max Profit
14085622 6 3278 1806 +1472 blockdaemon_lido 0x850b00e0... BloXroute Max Profit
14085581 0 3149 1678 +1471 revolut 0x8527d16c... Ultra Sound
14085429 1 3170 1699 +1471 whale_0x8ebd 0xb67eaa5e... BloXroute Max Profit
14086596 1 3166 1699 +1467 blockdaemon_lido 0x853b0078... Ultra Sound
14081707 8 3314 1849 +1465 blockdaemon_lido 0x8527d16c... Ultra Sound
14083169 3 3202 1742 +1460 coinbase 0xb73d7672... Flashbots
14082130 0 3136 1678 +1458 gateway.fmas_lido 0x8527d16c... Ultra Sound
14084349 6 3261 1806 +1455 gateway.fmas_lido 0xb67eaa5e... BloXroute Max Profit
14082359 6 3261 1806 +1455 blockdaemon_lido 0xb67eaa5e... BloXroute Regulated
14083488 5 3239 1785 +1454 p2porg 0x8db2a99d... Flashbots
14082177 0 3132 1678 +1454 whale_0x8ebd 0xb67eaa5e... Aestus
14084131 4 3217 1764 +1453 gateway.fmas_lido 0x88a53ec4... BloXroute Max Profit
14079974 5 3238 1785 +1453 whale_0x8ebd 0xb67eaa5e... BloXroute Max Profit
14081554 1 3152 1699 +1453 gateway.fmas_lido 0xb26f9666... Titan Relay
14080333 8 3301 1849 +1452 0xb67eaa5e... BloXroute Max Profit
14082427 1 3147 1699 +1448 gateway.fmas_lido 0x856b0004... BloXroute Max Profit
14083734 6 3253 1806 +1447 bitstamp 0x88a53ec4... BloXroute Regulated
14082834 0 3123 1678 +1445 p2porg 0x853b0078... BloXroute Regulated
14082174 0 3123 1678 +1445 0xb67eaa5e... BloXroute Max Profit
14086296 3 3182 1742 +1440 gateway.fmas_lido 0xb67eaa5e... BloXroute Max Profit
14080269 3 3179 1742 +1437 whale_0x8ebd 0x85fb0503... Aestus
14083188 2 3156 1721 +1435 whale_0x8ebd 0x8527d16c... Ultra Sound
14083110 0 3113 1678 +1435 gateway.fmas_lido 0x850b00e0... BloXroute Max Profit
14083518 0 3113 1678 +1435 gateway.fmas_lido 0x8527d16c... Ultra Sound
14083665 6 3241 1806 +1435 p2porg 0x850b00e0... BloXroute Regulated
14080866 6 3240 1806 +1434 p2porg 0x850b00e0... BloXroute Regulated
14084419 0 3111 1678 +1433 p2porg 0x8db2a99d... Flashbots
14085091 0 3111 1678 +1433 0x851b00b1... BloXroute Max Profit
14081418 1 3129 1699 +1430 blockdaemon 0xb67eaa5e... BloXroute Max Profit
14082939 2 3150 1721 +1429 p2porg 0xb67eaa5e... BloXroute Regulated
14084773 0 3107 1678 +1429 gateway.fmas_lido 0x8db2a99d... Flashbots
14080531 5 3212 1785 +1427 0xa965c911... Ultra Sound
14080287 0 3105 1678 +1427 coinbase 0x99dbe3e8... Agnostic Gnosis
14081272 9 3297 1870 +1427 gateway.fmas_lido 0x850b00e0... BloXroute Max Profit
14080527 6 3232 1806 +1426 p2porg 0xac23f8cc... BloXroute Regulated
14081281 0 3103 1678 +1425 whale_0x8ebd 0xb26f9666... BloXroute Max Profit
14083246 0 3103 1678 +1425 p2porg 0x8db2a99d... BloXroute Max Profit
14086080 0 3103 1678 +1425 whale_0x8ebd 0x857b0038... Ultra Sound
14081009 1 3124 1699 +1425 gateway.fmas_lido 0x823e0146... Ultra Sound
14086464 0 3102 1678 +1424 whale_0x8ebd 0x853b0078... Aestus
14082107 0 3102 1678 +1424 0x856b0004... Aestus
14080302 0 3102 1678 +1424 kiln 0x88a53ec4... BloXroute Regulated
14084167 8 3271 1849 +1422 whale_0x8ebd 0xb67eaa5e... BloXroute Max Profit
14083033 9 3292 1870 +1422 whale_0x23be 0x850b00e0... BloXroute Max Profit
14083875 5 3206 1785 +1421 whale_0x8ebd 0x88a53ec4... BloXroute Max Profit
14081406 14 3398 1977 +1421 whale_0x8ebd 0xb67eaa5e... BloXroute Max Profit
14086114 1 3120 1699 +1421 whale_0x8ebd 0x8527d16c... Ultra Sound
14084323 0 3098 1678 +1420 gateway.fmas_lido 0xb26f9666... Titan Relay
14086641 1 3118 1699 +1419 p2porg 0x850b00e0... Flashbots
14084192 6 3224 1806 +1418 0xac23f8cc... Flashbots
14086568 2 3137 1721 +1416 kiln 0xb26f9666... BloXroute Max Profit
14082487 0 3094 1678 +1416 0xb26f9666... BloXroute Max Profit
14086111 0 3094 1678 +1416 p2porg 0xb26f9666... Titan Relay
14083318 5 3200 1785 +1415 blockdaemon_lido 0xb67eaa5e... BloXroute Regulated
14086496 6 3218 1806 +1412 ether.fi 0x8527d16c... EthGas
14084915 6 3217 1806 +1411 revolut 0x8db2a99d... Ultra Sound
14084329 5 3194 1785 +1409 blockdaemon 0xb26f9666... Titan Relay
14080567 6 3215 1806