Tue, Feb 17, 2026

Propagation anomalies - 2026-02-17

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 >= '2026-02-17' AND slot_start_date_time < '2026-02-17'::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 >= '2026-02-17' AND slot_start_date_time < '2026-02-17'::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 >= '2026-02-17' AND slot_start_date_time < '2026-02-17'::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 >= '2026-02-17' AND slot_start_date_time < '2026-02-17'::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 >= '2026-02-17' AND slot_start_date_time < '2026-02-17'::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 >= '2026-02-17' AND slot_start_date_time < '2026-02-17'::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 >= '2026-02-17' AND slot_start_date_time < '2026-02-17'::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 >= '2026-02-17' AND slot_start_date_time < '2026-02-17'::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: 7,182
MEV blocks: 6,689 (93.1%)
Local blocks: 493 (6.9%)

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 = 1726.5 + 18.45 × blob_count (R² = 0.013)
Residual σ = 645.6ms
Anomalies (>2σ slow): 361 (5.0%)
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
13709434 0 6341 1727 +4614 csm_operator162_lido Local Local
13710624 0 6252 1727 +4525 abyss_finance Local Local
13707296 0 5512 1727 +3785 abyss_finance Local Local
13710912 5 4628 1819 +2809 upbit Local Local
13709984 0 4381 1727 +2654 upbit Local Local
13709152 0 4166 1727 +2439 nethermind_lido Local Local
13706365 0 4071 1727 +2344 solo_stakers Local Local
13709770 0 4046 1727 +2319 everstake Local Local
13707200 0 4026 1727 +2299 everstake_lido Local Local
13706848 0 3946 1727 +2219 blockdaemon_lido Local Local
13710866 0 3852 1727 +2125 nethermind_lido Local Local
13705697 3 3831 1782 +2049 nethermind_lido 0xa230e2cf... BloXroute Max Profit
13709914 4 3830 1800 +2030 nethermind_lido 0x856b0004... Aestus
13711075 1 3752 1745 +2007 csm_operator171_lido 0x8db2a99d... Aestus
13710664 3 3783 1782 +2001 whale_0xdd6c 0xb26f9666... Titan Relay
13711360 0 3699 1727 +1972 blockdaemon_lido Local Local
13707744 8 3832 1874 +1958 blockdaemon_lido 0xb67eaa5e... Titan Relay
13710087 10 3811 1911 +1900 nethermind_lido 0xb26f9666... Titan Relay
13710150 0 3552 1727 +1825 0x8527d16c... Ultra Sound
13708075 8 3690 1874 +1816 0xb67eaa5e... Titan Relay
13709449 12 3750 1948 +1802 blockdaemon 0x8a850621... Titan Relay
13712001 5 3620 1819 +1801 0x8527d16c... Ultra Sound
13708544 9 3693 1893 +1800 solo_stakers 0x8527d16c... Ultra Sound
13712026 6 3634 1837 +1797 whale_0xdc8d 0x88510a78... BloXroute Regulated
13709500 8 3662 1874 +1788 everstake 0xb26f9666... Titan Relay
13710855 2 3542 1763 +1779 0xb4ce6162... Ultra Sound
13707814 3 3560 1782 +1778 blockdaemon 0xb26f9666... Titan Relay
13706996 5 3595 1819 +1776 0x850b00e0... BloXroute Regulated
13707110 4 3563 1800 +1763 0x8527d16c... Ultra Sound
13705320 8 3636 1874 +1762 0x82c466b9... BloXroute Regulated
13710014 1 3505 1745 +1760 everstake 0x88a53ec4... BloXroute Regulated
13712293 7 3613 1856 +1757 blockdaemon 0x8527d16c... Ultra Sound
13705265 3 3529 1782 +1747 revolut 0x8527d16c... Ultra Sound
13705772 10 3658 1911 +1747 0x88857150... Ultra Sound
13707113 8 3609 1874 +1735 whale_0xdc8d 0xb26f9666... Titan Relay
13710320 8 3603 1874 +1729 revolut 0xb26f9666... Titan Relay
13706646 5 3547 1819 +1728 figment 0x88a53ec4... BloXroute Regulated
13712284 1 3467 1745 +1722 everstake 0xb26f9666... Titan Relay
13705852 6 3554 1837 +1717 whale_0xdc8d 0x8527d16c... Ultra Sound
13709431 7 3572 1856 +1716 revolut 0x8527d16c... Ultra Sound
13709082 0 3441 1727 +1714 revolut Local Local
13707040 3 3493 1782 +1711 everstake 0x856b0004... Agnostic Gnosis
13711143 1 3454 1745 +1709 everstake 0xb26f9666... Titan Relay
13712370 1 3451 1745 +1706 nethermind_lido 0xb26f9666... Titan Relay
13711963 5 3518 1819 +1699 coinbase 0xb26f9666... Aestus
13706560 0 3416 1727 +1689 everstake 0xb26f9666... Titan Relay
13710590 1 3430 1745 +1685 ether.fi 0xb26f9666... Titan Relay
13708444 6 3521 1837 +1684 everstake 0xb67eaa5e... BloXroute Regulated
13710699 3 3465 1782 +1683 blockdaemon_lido 0xb26f9666... Titan Relay
13709054 6 3518 1837 +1681 revolut 0xb26f9666... BloXroute Regulated
13711820 0 3405 1727 +1678 0x8a850621... Titan Relay
13708820 0 3405 1727 +1678 nethermind_lido 0xb26f9666... Titan Relay
13711669 0 3404 1727 +1677 blockdaemon 0x8a850621... Ultra Sound
13711353 8 3548 1874 +1674 ether.fi 0x88857150... EthGas
13711292 5 3486 1819 +1667 nethermind_lido 0xb26f9666... Titan Relay
13705311 3 3440 1782 +1658 nethermind_lido 0xb26f9666... Titan Relay
13705751 4 3457 1800 +1657 ether.fi 0x8527d16c... Ultra Sound
13710044 0 3372 1727 +1645 0xb4ce6162... Ultra Sound
13712098 0 3367 1727 +1640 whale_0xdd6c 0x823e0146... Flashbots
13706613 11 3567 1929 +1638 0x850b00e0... BloXroute Regulated
13710969 1 3376 1745 +1631 everstake 0xb26f9666... Titan Relay
13712208 0 3353 1727 +1626 nethermind_lido 0x852b0070... BloXroute Max Profit
13706587 0 3351 1727 +1624 blockdaemon 0x853b0078... Ultra Sound
13708957 5 3442 1819 +1623 everstake 0xb26f9666... Titan Relay
13709284 4 3423 1800 +1623 everstake 0x856b0004... Agnostic Gnosis
13706698 0 3348 1727 +1621 nethermind_lido 0x853b0078... Aestus
13708999 0 3348 1727 +1621 everstake 0x9589cf28... Flashbots
13709579 5 3439 1819 +1620 blockdaemon_lido 0xb67eaa5e... BloXroute Regulated
13710473 4 3419 1800 +1619 blockdaemon 0x850b00e0... BloXroute Max Profit
13707190 5 3437 1819 +1618 everstake 0x8527d16c... Ultra Sound
13707390 5 3435 1819 +1616 everstake 0x8527d16c... Ultra Sound
13710218 0 3338 1727 +1611 everstake 0xb26f9666... Aestus
13708506 0 3338 1727 +1611 blockdaemon_lido 0x88857150... Ultra Sound
13706834 3 3392 1782 +1610 everstake 0xb26f9666... Titan Relay
13706504 0 3335 1727 +1608 everstake 0x8527d16c... Ultra Sound
13707630 1 3351 1745 +1606 everstake 0x8527d16c... Ultra Sound
13707980 5 3423 1819 +1604 blockdaemon 0x8527d16c... Ultra Sound
13710112 1 3349 1745 +1604 0xb26f9666... BloXroute Max Profit
13706125 6 3441 1837 +1604 blockdaemon_lido 0xb67eaa5e... Titan Relay
13712376 3 3385 1782 +1603 everstake 0x8527d16c... Ultra Sound
13707254 3 3383 1782 +1601 blockdaemon 0x823e0146... BloXroute Max Profit
13711651 0 3325 1727 +1598 everstake 0x88a53ec4... BloXroute Regulated
13705914 0 3318 1727 +1591 everstake 0xb26f9666... Titan Relay
13705416 3 3373 1782 +1591 everstake 0xb26f9666... Aestus
13710237 0 3317 1727 +1590 luno 0xb26f9666... Titan Relay
13709708 9 3482 1893 +1589 blockdaemon_lido 0x850b00e0... BloXroute Regulated
13708115 7 3445 1856 +1589 0x850b00e0... BloXroute Max Profit
13709760 16 3611 2022 +1589 bitstamp 0x88a53ec4... BloXroute Max Profit
13709125 6 3425 1837 +1588 everstake 0x860d4173... BloXroute Max Profit
13707450 0 3313 1727 +1586 everstake 0x8527d16c... Ultra Sound
13711200 5 3405 1819 +1586 blockdaemon_lido 0x88857150... Ultra Sound
13706294 6 3422 1837 +1585 everstake 0xb26f9666... Titan Relay
13711627 0 3310 1727 +1583 everstake 0x8527d16c... Ultra Sound
13710828 5 3402 1819 +1583 nethermind_lido 0x88a53ec4... BloXroute Regulated
13710518 7 3432 1856 +1576 everstake 0x856b0004... Agnostic Gnosis
13705474 0 3300 1727 +1573 solo_stakers 0xb26f9666... BloXroute Max Profit
13706893 0 3299 1727 +1572 blockdaemon 0x8a850621... Titan Relay
13706208 6 3407 1837 +1570 binance Local Local
13711547 0 3292 1727 +1565 blockdaemon 0x850b00e0... BloXroute Max Profit
13707181 3 3347 1782 +1565 0x8527d16c... Ultra Sound
13708331 8 3439 1874 +1565 0x850b00e0... BloXroute Max Profit
13708031 10 3475 1911 +1564 blockdaemon_lido 0xb67eaa5e... Titan Relay
13707232 7 3417 1856 +1561 gateway.fmas_lido 0x823e0146... Flashbots
13706117 1 3305 1745 +1560 everstake 0xb26f9666... Titan Relay
13707730 0 3284 1727 +1557 everstake 0x852b0070... Flashbots
13708179 5 3376 1819 +1557 everstake 0x853b0078... Agnostic Gnosis
13708524 5 3376 1819 +1557 luno 0x88a53ec4... BloXroute Regulated
13712352 8 3424 1874 +1550 gateway.fmas_lido 0xb26f9666... Titan Relay
13710529 6 3385 1837 +1548 0x8a850621... BloXroute Regulated
13707930 7 3403 1856 +1547 ether.fi 0x853b0078... Agnostic Gnosis
13710379 5 3364 1819 +1545 blockdaemon 0xb67eaa5e... BloXroute Regulated
13711829 6 3382 1837 +1545 everstake 0xb26f9666... Titan Relay
13711734 11 3473 1929 +1544 everstake 0xb26f9666... Titan Relay
13708477 14 3525 1985 +1540 nethermind_lido 0x853b0078... Aestus
13708038 3 3321 1782 +1539 everstake 0x853b0078... Aestus
13707538 0 3264 1727 +1537 nethermind_lido 0xb26f9666... Titan Relay
13707482 5 3353 1819 +1534 everstake 0x8527d16c... Ultra Sound
13712004 7 3389 1856 +1533 nethermind_lido 0x855b00e6... BloXroute Max Profit
13707010 7 3388 1856 +1532 ether.fi 0xb26f9666... Titan Relay
13711439 5 3350 1819 +1531 ether.fi 0x8527d16c... Ultra Sound
13709586 6 3367 1837 +1530 nethermind_lido 0xb67eaa5e... BloXroute Max Profit
13709134 1 3273 1745 +1528 blockdaemon_lido 0x850b00e0... BloXroute Regulated
13706779 3 3309 1782 +1527 luno 0xb26f9666... Titan Relay
13711094 5 3344 1819 +1525 0xb26f9666... Aestus
13712061 2 3288 1763 +1525 everstake 0xac23f8cc... Flashbots
13709784 13 3490 1966 +1524 everstake 0x8527d16c... Ultra Sound
13709576 5 3340 1819 +1521 gateway.fmas_lido 0x850b00e0... BloXroute Max Profit
13712252 7 3375 1856 +1519 blockdaemon_lido 0x8527d16c... Ultra Sound
13707968 1 3263 1745 +1518 0xb26f9666... Titan Relay
13707217 13 3482 1966 +1516 everstake 0xb67eaa5e... BloXroute Regulated
13708573 0 3242 1727 +1515 nethermind_lido 0x851b00b1... BloXroute Max Profit
13709736 0 3242 1727 +1515 0x852b0070... BloXroute Max Profit
13709339 5 3333 1819 +1514 blockdaemon 0xb67eaa5e... BloXroute Regulated
13708883 1 3256 1745 +1511 blockdaemon_lido 0x856b0004... Ultra Sound
13705301 6 3348 1837 +1511 0x855b00e6... BloXroute Max Profit
13707994 10 3421 1911 +1510 everstake 0xb26f9666... Aestus
13710901 3 3291 1782 +1509 blockdaemon 0x88a53ec4... BloXroute Max Profit
13706969 12 3457 1948 +1509 ether.fi 0x86f3ad35... EthGas
13709904 8 3380 1874 +1506 everstake 0xb26f9666... Titan Relay
13712000 6 3343 1837 +1506 ether.fi 0xb26f9666... Titan Relay
13710680 0 3231 1727 +1504 blockdaemon_lido 0xa9bd259c... Ultra Sound
13711884 3 3280 1782 +1498 bitstamp 0x88a53ec4... BloXroute Regulated
13711881 9 3387 1893 +1494 everstake 0xb26f9666... Titan Relay
13711811 1 3238 1745 +1493 0xb67eaa5e... BloXroute Regulated
13712361 8 3363 1874 +1489 everstake 0xb26f9666... Titan Relay
13705562 3 3270 1782 +1488 0xb67eaa5e... BloXroute Max Profit
13708676 10 3398 1911 +1487 nethermind_lido 0x855b00e6... BloXroute Max Profit
13710298 5 3305 1819 +1486 everstake 0xb26f9666... Titan Relay
13710953 0 3210 1727 +1483 blockdaemon 0x8527d16c... Ultra Sound
13705720 1 3228 1745 +1483 blockdaemon_lido 0x8527d16c... Ultra Sound
13707451 8 3357 1874 +1483 everstake 0xb26f9666... Titan Relay
13710849 5 3301 1819 +1482 blockdaemon_lido 0xb26f9666... Titan Relay
13711630 5 3299 1819 +1480 0x850b00e0... BloXroute Regulated
13706997 2 3243 1763 +1480 everstake 0xa230e2cf... Flashbots
13707144 11 3407 1929 +1478 nethermind_lido 0xb26f9666... Titan Relay
13709805 6 3314 1837 +1477 gateway.fmas_lido 0x850b00e0... BloXroute Max Profit
13710309 1 3221 1745 +1476 gateway.fmas_lido 0xb7c5e609... BloXroute Max Profit
13710709 0 3201 1727 +1474 p2porg 0x88a53ec4... BloXroute Max Profit
13712318 5 3293 1819 +1474 blockdaemon_