Sat, Mar 14, 2026

Propagation anomalies - 2026-03-14

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 >= '2026-03-14' AND slot_start_date_time < '2026-03-14'::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 >= '2026-03-14' AND slot_start_date_time < '2026-03-14'::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 >= '2026-03-14' AND slot_start_date_time < '2026-03-14'::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 >= '2026-03-14' AND slot_start_date_time < '2026-03-14'::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 >= '2026-03-14' AND slot_start_date_time < '2026-03-14'::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 >= '2026-03-14' AND slot_start_date_time < '2026-03-14'::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 >= '2026-03-14' AND slot_start_date_time < '2026-03-14'::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 >= '2026-03-14' AND slot_start_date_time < '2026-03-14'::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: 7,179
MEV blocks: 6,612 (92.1%)
Local blocks: 567 (7.9%)

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 = 1677.5 + 16.45 × blob_count (R² = 0.009)
Residual σ = 605.9ms
Anomalies (>2σ slow): 463 (6.4%)
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
13888864 0 5308 1678 +3630 abyss_finance Local Local
13888320 0 4909 1678 +3231 upbit Local Local
13890063 0 4095 1678 +2417 whale_0x2f38 Local Local
13886663 0 3952 1678 +2274 coinbase Local Local
13890272 0 3940 1678 +2262 coinbase Local Local
13887450 5 3865 1760 +2105 solo_stakers Local Local
13891264 0 3734 1678 +2056 luno 0xb26f9666... Titan Relay
13886944 4 3787 1743 +2044 rocketpool 0x850b00e0... Aestus
13887200 0 3669 1678 +1991 binance 0xb26f9666... Titan Relay
13887755 0 3646 1678 +1968 ether.fi Local Local
13890336 0 3616 1678 +1938 blockdaemon_lido 0x88857150... Ultra Sound
13886643 1 3610 1694 +1916 whale_0xeed8 Local Local
13889248 9 3715 1826 +1889 whale_0x9212 0xb67eaa5e... Titan Relay
13885760 5 3636 1760 +1876 blockdaemon 0x8a850621... Titan Relay
13889546 1 3532 1694 +1838 whale_0x8ebd 0x856b0004... Agnostic Gnosis
13886453 5 3597 1760 +1837 whale_0x8ebd 0x857b0038... Ultra Sound
13887597 9 3648 1826 +1822 whale_0x8ebd 0x857b0038... Ultra Sound
13890088 0 3499 1678 +1821 whale_0x8ebd 0x823e0146... Ultra Sound
13887439 0 3494 1678 +1816 coinbase 0x823e0146... Aestus
13890808 0 3481 1678 +1803 whale_0x8ebd 0x8db2a99d... Ultra Sound
13885353 9 3623 1826 +1797 ether.fi 0x853b0078... Aestus
13888556 0 3463 1678 +1785 whale_0x8ebd 0x8527d16c... Ultra Sound
13889108 5 3537 1760 +1777 blockdaemon 0x8a850621... Titan Relay
13885696 0 3451 1678 +1773 blockdaemon 0xb4ce6162... Ultra Sound
13890426 8 3574 1809 +1765 whale_0x8ebd 0x8db2a99d... Ultra Sound
13892217 7 3551 1793 +1758 blockdaemon 0xac23f8cc... Ultra Sound
13885595 0 3426 1678 +1748 coinbase 0x8db2a99d... Aestus
13888681 0 3423 1678 +1745 whale_0x8ebd 0x8527d16c... Ultra Sound
13886270 0 3420 1678 +1742 blockdaemon 0xac23f8cc... Ultra Sound
13891084 1 3418 1694 +1724 blockdaemon_lido 0x82c466b9... Ultra Sound
13888225 0 3397 1678 +1719 nethermind_lido 0xb26f9666... Titan Relay
13891165 1 3402 1694 +1708 whale_0x8ebd 0x8db2a99d... Ultra Sound
13887183 6 3478 1776 +1702 ether.fi 0xb67eaa5e... Titan Relay
13886829 0 3370 1678 +1692 whale_0x8ebd 0x8a850621... Titan Relay
13891719 0 3361 1678 +1683 ether.fi 0x88a53ec4... BloXroute Max Profit
13888442 5 3437 1760 +1677 stakefish Local Local
13889447 6 3452 1776 +1676 nethermind_lido 0xb26f9666... BloXroute Max Profit
13890454 1 3365 1694 +1671 blockdaemon 0x823e0146... BloXroute Max Profit
13890958 0 3339 1678 +1661 blockdaemon_lido 0x851b00b1... BloXroute Max Profit
13888341 1 3352 1694 +1658 luno 0xb7c5e609... BloXroute Regulated
13885560 5 3409 1760 +1649 whale_0x8ebd 0x8527d16c... Ultra Sound
13890876 0 3315 1678 +1637 blockdaemon_lido 0x82c466b9... Ultra Sound
13888597 0 3313 1678 +1635 blockdaemon_lido 0xac23f8cc... BloXroute Regulated
13890209 5 3393 1760 +1633 blockdaemon 0x88857150... Ultra Sound
13891062 5 3393 1760 +1633 blockdaemon_lido 0x88857150... Ultra Sound
13886566 2 3342 1710 +1632 blockdaemon_lido 0x850b00e0... BloXroute Max Profit
13890634 0 3309 1678 +1631 whale_0x8ebd 0x8527d16c... Ultra Sound
13889463 7 3419 1793 +1626 blockdaemon 0x855b00e6... BloXroute Max Profit
13885593 3 3349 1727 +1622 whale_0x8ebd 0x853b0078... Aestus
13889334 3 3345 1727 +1618 whale_0xdc8d 0xb67eaa5e... BloXroute Regulated
13890100 8 3427 1809 +1618 blockdaemon 0x8a850621... Titan Relay
13887581 5 3377 1760 +1617 revolut 0x856b0004... Ultra Sound
13890218 0 3293 1678 +1615 blockdaemon_lido 0xb26f9666... Titan Relay
13888545 3 3342 1727 +1615 blockdaemon_lido 0x91b123d8... Ultra Sound
13888433 6 3391 1776 +1615 whale_0x8ebd 0xb7c5e609... BloXroute Max Profit
13885729 0 3290 1678 +1612 blockdaemon 0xb26f9666... Titan Relay
13892304 0 3286 1678 +1608 blockdaemon_lido 0x88857150... Ultra Sound
13888942 0 3284 1678 +1606 blockdaemon 0x8527d16c... Ultra Sound
13887630 1 3300 1694 +1606 luno 0xb26f9666... Titan Relay
13888846 1 3299 1694 +1605 blockdaemon 0xb26f9666... Titan Relay
13886837 0 3280 1678 +1602 blockdaemon_lido 0xb26f9666... Titan Relay
13891229 1 3295 1694 +1601 luno 0xb26f9666... Titan Relay
13886777 2 3308 1710 +1598 solo_stakers 0x855b00e6... Ultra Sound
13888962 17 3554 1957 +1597 whale_0x8ebd 0x8527d16c... Ultra Sound
13886244 0 3273 1678 +1595 luno 0xb67eaa5e... BloXroute Regulated
13887781 1 3288 1694 +1594 blockdaemon 0x850b00e0... BloXroute Max Profit
13892101 0 3270 1678 +1592 blockdaemon 0x8a850621... Titan Relay
13888719 3 3314 1727 +1587 whale_0xdc8d 0xb26f9666... Titan Relay
13886371 0 3262 1678 +1584 whale_0xdc8d 0xb26f9666... Titan Relay
13888317 7 3377 1793 +1584 luno 0x88a53ec4... BloXroute Regulated
13885929 5 3342 1760 +1582 blockdaemon_lido 0xb67eaa5e... BloXroute Max Profit
13886392 3 3308 1727 +1581 luno 0xb26f9666... Titan Relay
13886949 2 3290 1710 +1580 blockdaemon 0x850b00e0... BloXroute Regulated
13886833 0 3257 1678 +1579 blockdaemon 0xb26f9666... Titan Relay
13886744 1 3270 1694 +1576 blockdaemon_lido 0x8527d16c... Ultra Sound
13888080 2 3285 1710 +1575 blockdaemon_lido 0xb4ce6162... Ultra Sound
13886550 2 3284 1710 +1574 blockdaemon 0x855b00e6... BloXroute Max Profit
13886280 0 3251 1678 +1573 blockdaemon 0x88857150... Ultra Sound
13891644 1 3266 1694 +1572 whale_0x8ebd 0x88857150... Ultra Sound
13885469 5 3331 1760 +1571 whale_0x8ebd 0x8527d16c... Ultra Sound
13889982 14 3476 1908 +1568 nethermind_lido 0xb26f9666... Titan Relay
13887997 0 3243 1678 +1565 0xb26f9666... Titan Relay
13889323 3 3291 1727 +1564 nethermind_lido 0x8527d16c... Ultra Sound
13890296 6 3335 1776 +1559 blockdaemon 0xac23f8cc... BloXroute Regulated
13886095 5 3318 1760 +1558 luno 0x88a53ec4... BloXroute Regulated
13887917 2 3268 1710 +1558 whale_0x8ebd 0xb4ce6162... Ultra Sound
13886341 5 3315 1760 +1555 blockdaemon 0x88a53ec4... BloXroute Regulated
13888366 5 3312 1760 +1552 blockdaemon_lido 0xb26f9666... Titan Relay
13886986 0 3229 1678 +1551 whale_0x8ebd 0x8db2a99d... BloXroute Max Profit
13889607 3 3277 1727 +1550 whale_0x8ebd 0x8a850621... Titan Relay
13888867 3 3277 1727 +1550 kiln 0xb67eaa5e... BloXroute Max Profit
13891744 0 3226 1678 +1548 0xb26f9666... Aestus
13890747 0 3226 1678 +1548 revolut 0xb26f9666... Titan Relay
13888745 0 3224 1678 +1546 blockdaemon_lido 0x8527d16c... Ultra Sound
13890738 0 3224 1678 +1546 blockdaemon 0x88857150... Ultra Sound
13890041 1 3236 1694 +1542 blockdaemon 0x8527d16c... Ultra Sound
13889377 15 3461 1924 +1537 whale_0xdc8d 0x850b00e0... BloXroute Regulated
13885275 2 3246 1710 +1536 blockdaemon_lido 0xb4ce6162... Ultra Sound
13890346 11 3394 1858 +1536 p2porg 0x88a53ec4... BloXroute Max Profit
13890855 5 3294 1760 +1534 blockdaemon 0x88857150... Ultra Sound
13890653 6 3310 1776 +1534 blockdaemon_lido 0xb26f9666... Titan Relay
13891509 2 3243 1710 +1533 blockdaemon 0x823e0146... BloXroute Max Profit
13890005 1 3225 1694 +1531 blockdaemon_lido 0x88857150... Ultra Sound
13891527 0 3208 1678 +1530 blockdaemon_lido 0x88857150... Ultra Sound
13889826 0 3208 1678 +1530 nethermind_lido 0x852b0070... BloXroute Max Profit
13892256 1 3224 1694 +1530 p2porg 0x8527d16c... Ultra Sound
13889274 3 3256 1727 +1529 revolut 0x855b00e6... Ultra Sound
13888734 0 3206 1678 +1528 blockdaemon_lido 0x8527d16c... Ultra Sound
13891859 1 3221 1694 +1527 blockdaemon 0xb67eaa5e... BloXroute Regulated
13885349 5 3286 1760 +1526 blockdaemon 0x8527d16c... Ultra Sound
13890417 11 3384 1858 +1526 revolut 0xac23f8cc... BloXroute Regulated
13890377 5 3285 1760 +1525 nethermind_lido 0x823e0146... BloXroute Max Profit
13886822 5 3281 1760 +1521 blockdaemon 0x8527d16c... Ultra Sound
13885651 0 3198 1678 +1520 gateway.fmas_lido 0x855b00e6... BloXroute Max Profit
13892155 4 3262 1743 +1519 blockdaemon_lido 0x855b00e6... BloXroute Max Profit
13885212 1 3209 1694 +1515 gateway.fmas_lido 0x8db2a99d... Ultra Sound
13890149 5 3274 1760 +1514 everstake 0xb26f9666... Titan Relay
13886045 7 3306 1793 +1513 luno 0xb26f9666... Titan Relay
13888988 7 3306 1793 +1513 whale_0xdc8d 0x88857150... Ultra Sound
13891708 0 3189 1678 +1511 rocklogicgmbh_lido 0xb26f9666... Titan Relay
13887668 5 3271 1760 +1511 blockdaemon_lido 0x8527d16c... Ultra Sound
13885230 0 3186 1678 +1508 gateway.fmas_lido 0x852b0070... Agnostic Gnosis
13887339 5 3268 1760 +1508 revolut 0x850b00e0... BloXroute Regulated
13888114 5 3268 1760 +1508 nethermind_lido 0xac23f8cc... Flashbots
13887933 6 3283 1776 +1507 blockdaemon_lido 0x853b0078... Ultra Sound
13888476 0 3184 1678 +1506 blockdaemon_lido 0xb7c5e609... BloXroute Regulated
13889200 17 3462 1957 +1505 whale_0xdc8d 0x850b00e0... BloXroute Regulated
13888909 4 3248 1743 +1505 gateway.fmas_lido 0x850b00e0... BloXroute Max Profit
13887000 6 3273 1776 +1497 nethermind_lido 0x855b00e6... BloXroute Max Profit
13889426 7 3289 1793 +1496 nethermind_lido 0x850b00e0... BloXroute Max Profit
13886700 0 3173 1678 +1495 nethermind_lido 0xb67eaa5e... BloXroute Max Profit
13890453 18 3468 1974 +1494 revolut 0xb4ce6162... Ultra Sound
13887897 10 3336 1842 +1494 blockdaemon 0xac23f8cc... BloXroute Max Profit
13890299 9 3319 1826 +1493 blockdaemon_lido 0x88857150... Ultra Sound
13891960 5 3252 1760 +1492 solo_stakers Local Local
13886954 0 3167 1678 +1489 revolut 0x85fb0503... BloXroute Regulated
13891491 10 3331 1842 +1489 luno 0x850b00e0... BloXroute Regulated
13885827 0 3165 1678 +1487 nethermind_lido 0x88a53ec4... BloXroute Max Profit
13889217 1 3180 1694 +1486 gateway.fmas_lido 0x850b00e0... BloXroute Max Profit
13891918 5 3245 1760 +1485 nethermind_lido 0x88a53ec4... BloXroute Max Profit
13887833 1 3179 1694 +1485 everstake 0x8db2a99d... Aestus
13887953 5 3244 1760 +1484 blockdaemon 0xb26f9666... Titan Relay
13888620 5 3242 1760 +1482 blockdaemon 0x88857150... Ultra Sound
13889259 12 3357 1875 +1482 nethermind_lido 0x855b00e6... BloXrout