Belloq

Belloq — CS2 Stats

76561198296070416[U:1:335804688]Steam profile ↗✓ No bans

2,112Tracked matches43%Win rate2020Tracked since
CSDB Rating7.3 StrongPositional Player
Premier CS Rating25,981Top 10% of 204,412 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#12865 of 251476 tracked
FaceitLevel 10 · 2,192 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,981 -1,046 11 Mar – 13 Oct · 16 days played
22,74527,392peak 27,39211 Mar13 Oct
27,392Peak Premier in tracked matches
2,192Highest Faceit ELO seen on CSDB
47Days played since 2026-03-11

Faceit ELO

  • At peak — 2,192
  • Next: 2,500 ELO at 2,500 — 308 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-03
  • Level 9 first seen 2026-09-03

Premier CS Rating

  • 1,411 below peak (27,392)
  • Next: Gold band at 30,000 — 4,019 to go
  • Reached: Red band · Pink band · Purple band · Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGBelloqFACEITLevel 10 · 2,192 ELOSTANDINGTop 12.4% of rankedPREMIER25,981 · Red bandPEAK ELO2,192csdb.gg/stats

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Performance scores

Aim87
Positioning81
Utility28

0–100 skill scores via Leetify.

Recent form

HOT60–35–5Last 10060%Win rateWWWWWLLWWL

Last 10 vs previous 10: +30pp win rate · +0.06 avg rating · +4.7pp headshot accuracy · +45ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 22%
  • Avg reaction 561ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 557ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 535ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.9 against its own average).

Aim8.7
Utility2.8
Positioning8.1
Opening Duels6.8
Clutch3.2

Sharp aimerLimited utility dependenceStrong positioning

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 70% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 562ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.7
Positioning8.1
Utility2.8
Mechanics7.8
Opening Duels8.2
Win Impact2.8

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time528ms−66ms
first ⅓ avg 594ms → last ⅓ avg 528ms
Headshot accuracy20.0%−1.4%
first ⅓ avg 21.4% → last ⅓ avg 20.0%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.15Best match rating · 13–0 · nuke, 11 Oct →
50%Best headshot accuracy · 5–3 · ancient, 23 Sept →
227msFastest reaction time · 0–6 · mirage, 2 Oct →
13–0Biggest win · nuke, 11 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W5Current streak
10–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 70% over 23cacheWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageS2316–770%0.03
dust2B2111–1052%0.01
ancientS1711–665%0.01
nukeB137–654%0.01
anubisS96–367%0.01
cacheD62–433%-0.02
vertigo—41–325%-0.01
inferno—33–0100%0.06
train—33–0100%0.08
overpass—10–10%-0.13

Across the last 100 tracked matches.

Faceit stats

Combat

1,367Matches
53%Win rate
1.14Avg K/D
80.6ADR
48%Headshot %

Clutches & streaks

36%1v1 clutch win
26%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage24355%1.1416.8
Ancient17052%1.0815.2
Anubis12452%1.0915.9
Dust27948%0.9714.9
Vertigo6952%1.1415.4
Inferno2752%1.0515.4
Nuke2050%0.9713.4
Overpass1258%1.1016.6

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.0%Headshot accuracy
39.2%Accuracy (enemy spotted)
44.5%Spray accuracy
85.0%Counter-strafing
9.8°Preaim
562msReaction time
66.2%T opening success
59.6%CT opening success
0.36Enemies flashed / flash
7.6%Flash assists
5.72HE damage / grenade
3.03Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3606 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient13–110.0622%13 Oct →
mirage13–50.0618%11 Oct →
nuke13–00.1533%11 Oct →
anubis13–20.0015%11 Oct →
mirage13–40.0222%11 Oct →
cache11–13-0.0114%9 Oct →
cache3–130.0223%9 Oct →
inferno13–40.1128%9 Oct →
dust213–40.1028%9 Oct →
mirage11–130.0023%9 Oct →
nuke8–90.0531%7 Oct →
cache13–5-0.0022%5 Oct →
nuke13–70.0824%5 Oct →
ancient13–60.0731%5 Oct →
cache0–2-0.170%4 Oct →
mirage3–60.0617%3 Oct →
mirage13–100.0119%3 Oct →
mirage0–6-0.110%2 Oct →
vertigo9–13-0.0118%1 Oct →
anubis3–13-0.0215%1 Oct →
dust24–13-0.0419%1 Oct →
nuke16–12-0.0213%29 Sept →
dust24–13-0.0515%29 Sept →
dust28–130.0322%28 Sept →
nuke0–13-0.0629%27 Sept →
inferno13–50.0418%27 Sept →
ancient0–2-0.120%27 Sept →
dust26–130.0116%27 Sept →
ancient9–130.0327%27 Sept →
anubis9–13-0.0319%27 Sept →
mirage5–13-0.029%27 Sept →
ancient13–6-0.0118%23 Sept →
ancient5–30.0150%23 Sept →
dust29–13-0.0018%23 Sept →
inferno13–60.0317%23 Sept →
dust213–110.0125%23 Sept →
vertigo12–120.0015%21 Sept →
ancient13–30.0621%19 Sept →
mirage3–13-0.0218%18 Sept →
ancient13–90.0216%18 Sept →
nuke13–90.1030%16 Sept →
anubis13–10.0417%16 Sept →
nuke13–110.0216%16 Sept →
dust213–20.0618%16 Sept →
mirage13–80.0320%16 Sept →
mirage16–140.0620%12 Sept →
anubis13–110.0928%11 Sept →
mirage13–50.0317%11 Sept →
mirage10–130.0727%9 Sept →
dust215–15-0.0113%9 Sept →
dust28–130.0030%8 Sept →
nuke3–13-0.108%8 Sept →
mirage13–1-0.0132%8 Sept →
dust25–130.0320%8 Sept →
cache12–120.0420%7 Sept →
overpass4–9-0.1315%7 Sept →
cache13–10.0313%30 Aug →
anubis13–11-0.0212%29 Aug →
dust29–2-0.0427%29 Aug →
mirage13–110.029%29 Aug →
anubis7–130.0313%28 Aug →
anubis13–4-0.0318%22 Aug →
anubis5–20.0532%21 Aug →
dust213–7-0.0119%21 Aug →
dust213–6-0.0116%16 Aug →
mirage13–90.0124%15 Aug →
nuke13–40.0315%15 Aug →
vertigo13–100.0215%15 Aug →
ancient13–6-0.0117%15 Aug →
mirage13–100.0217%15 Aug →
vertigo2–7-0.037%14 Aug →
mirage13–50.1032%14 Aug →
train13–20.0526%14 Aug →
ancient13–110.0419%11 Aug →
dust213–30.0913%1 Aug →
mirage13–20.0916%1 Aug →
train13–20.1324%1 Aug →
ancient13–80.0723%9 Jul →
nuke7–13-0.0514%3 Jul →
dust213–100.0124%3 Jul →
dust212–12-0.0116%3 Jul →
nuke2–13-0.0529%3 Jul →
ancient15–15-0.0226%26 May →
mirage13–5-0.0028%12 May →
mirage13–100.1028%1 May →
mirage0–20.000%29 Apr →
dust213–6-0.0124%29 Apr →
ancient13–10-0.0225%29 Apr →
dust24–130.0718%24 Apr →
nuke13–90.0220%21 Apr →
ancient8–13-0.0530%13 Apr →
ancient4–13-0.0115%13 Apr →
dust213–9-0.0621%6 Apr →
mirage13–80.0842%6 Apr →
dust216–13-0.0026%3 Apr →
ancient14–16-0.0315%2 Apr →
ancient16–130.0020%23 Mar →
nuke9–13-0.0437%23 Mar →
train13–110.0620%16 Mar →
mirage13–8-0.0220%11 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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