BX1

BX1 — CS2 Stats

DZ76561199052747464[U:1:1092481736]Steam profile ↗✓ No bans

531Tracked matches66%Win rate2021Tracked since
251Hours in CS
CSDB Rating8.0 StrongClutch Specialist
Premier CS Rating16,497Purple band · top ~22.4% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (50 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 531 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,497 -2,206 16 Sept – 26 Sept · 8 days played
16,04118,703peak 18,70316 Sept26 Sept
18,703Peak Premier in tracked matches
801Highest Faceit ELO seen on CSDB
44Days played since 2024-12-04

Premier CS Rating

  • 2,206 below peak (18,703)
  • Next: Pink band at 20,000 — 3,503 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-12
  • Blue band first seen 2026-09-12

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate52.7%41.8%42.7%above
Shot accuracy5.9%12.2%11.2%5.3% short
Kill/death ratio1.140.980.99above
Match win rate48.5%43.3%43.9%above

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBX1FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER16,497 · Purple bandPEAK ELO801csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim99
Positioning67
Utility74

0–100 skill scores via Leetify.

Recent form

HOT72–22–6Last 10072%Win rateLLWWWWWLWW

Last 10 vs previous 10: +10pp win rate · +0.06 avg rating · −8.2pp headshot accuracy · +2ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 54%
  • Avg reaction 347ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 43%
  • Avg reaction 426ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 47%
  • Avg reaction 425ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.9 against its own average).

Aim9.9
Utility7.4
Positioning6.7
Opening Duels8.3
Clutch10.0

Sharp aimerEffective flashesReliable in 1v1s

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

device

Plays most like device 90% playstyle similarity

Most alike: aim profile, opening-duel success.

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 99 — the mechanical foundation is a clear strength.

CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Aim9.9
Positioning6.7
Utility7.4
Mechanics5.6
Opening Duels7.7
Win Impact10.0

Composite 8.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05−0.00
first ⅓ avg 0.06 → last ⅓ avg 0.05
Reaction time403ms−95ms
first ⅓ avg 498ms → last ⅓ avg 403ms
Headshot accuracy52.2%+8.5%
first ⅓ avg 43.7% → last ⅓ avg 52.2%

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

0.31Best match rating · 7–0 · inferno, 24 Apr →
100%Best headshot accuracy · 0–5 · grail, 1 Sept →
70msFastest reaction time · 5–9 · overpass, 23 Aug →
13–0Biggest win · train, 11 Sept →

Across the last 100 tracked matches.

Highlights

11Longest win streak
L2Current streak
5–4In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 95% over 21ancientWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2S2120–195%0.06
infernoS1814–478%0.08
mirageA1710–759%0.06
ancientC104–640%0.04
anubisS87–188%0.07
officeS75–271%0.10
overpassC52–340%0.03
trainS54–180%0.05
nuke—44–0100%0.08
vertigo—31–233%0.09
grail—10–10%0.03
basalt—11–0100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,352Lifetime kills
1.14K/D · Top 25% of Level 3 players
821Matches
48.5%Match win rate · Top 25% of Level 3 players
52.7%Headshot % · Top 25% of Level 3 players
5.9%Shot accuracy
2,118MVPs
251Hours (in match)
616Bombs planted
98Bombs defused

Most-used weapons

Lifetime map wins

1,239inferno
1,086dust2
723office
365nuke
296vertigo
167train
26italy
3lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

32Matches
44%Win rate
0.84Avg K/D
75.4ADR
49%Headshot %

Clutches & streaks

75%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage757%1.0615.7
Dust2617%0.5910.0
Inferno540%0.8215.6
Ancient475%1.2218.5
Nuke450%0.7014.0
Anubis250%0.9913.0
Vertigo250%0.8214.0
Overpass10%0.385.0

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.

49.7%Headshot accuracy
42.2%Accuracy (enemy spotted)
27.9%Spray accuracy
75.1%Counter-strafing
5.3°Preaim
400msReaction time
53.5%T opening success
68.3%CT opening success
0.74Enemies flashed / flash
5.8%Flash assists
12.69HE damage / grenade
8.73Flashes / match

Recommended for you

Spend your practice time on Ancient

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
office11–130.2058%24 Sept →
mirage3–13-0.0057%23 Sept →
inferno13–90.1457%23 Sept →
nuke16–120.1065%23 Sept →
dust213–110.0032%21 Sept →
overpass13–20.0339%21 Sept →
mirage13–20.1218%16 Sept →
overpass7–13-0.0029%16 Sept →
inferno13–70.0154%16 Sept →
mirage19–15-0.0119%14 Sept →
dust213–9-0.0465%12 Sept →
mirage0–13-0.0250%12 Sept →
dust213–90.0360%11 Sept →
train13–00.0643%11 Sept →
ancient4–13-0.1157%11 Sept →
nuke7–10.0760%11 Sept →
train10–130.0068%10 Sept →
mirage2–13-0.0658%5 Sept →
dust213–10-0.0028%5 Sept →
dust213–00.0521%5 Sept →
inferno9–50.2033%5 Sept →
inferno9–40.1589%3 Sept →
nuke9–30.0588%3 Sept →
anubis12–120.2568%3 Sept →
mirage13–00.0567%3 Sept →
dust23–00.0125%3 Sept →
dust213–00.1358%3 Sept →
mirage13–10.0438%2 Sept →
ancient6–130.0348%2 Sept →
grail0–50.03100%1 Sept →
ancient2–130.0864%1 Sept →
inferno13–80.0557%1 Sept →
dust213–40.1353%31 Aug →
dust213–80.1163%28 Aug →
inferno13–70.1263%28 Aug →
dust213–90.1357%28 Aug →
dust213–6-0.0211%27 Aug →
mirage13–6-0.0218%26 Aug →
overpass13–90.1650%23 Aug →
overpass5–9-0.0789%23 Aug →
inferno2–9-0.1480%23 Aug →
vertigo9–00.2155%23 Aug →
mirage10–130.0951%22 Aug →
mirage13–20.1662%22 Aug →
inferno11–130.0543%22 Aug →
dust213–110.0426%21 Aug →
mirage11–130.0542%5 Jul →
inferno7–00.3183%24 Apr →
dust213–70.0215%22 Mar →
mirage10–10.1114%22 Mar →
anubis13–90.0822%21 Feb →
office13–30.0619%15 Feb →
ancient13–40.0826%15 Feb →
mirage13–60.1733%15 Feb →
office2–40.0767%1 Feb →
mirage12–120.1231%1 Feb →
dust213–80.0812%1 Feb →
mirage13–60.0521%31 Jan →
office13–30.0571%24 Jan →
dust213–60.0038%24 Jan →
anubis10–3-0.0137%24 Jan →
ancient12–120.1140%22 Jan →
train13–70.1054%21 Jan →
dust213–20.2767%21 Jan →
vertigo1–130.0557%18 Jan →
mirage0–30.03100%18 Jan →
inferno13–60.1037%18 Jan →
anubis13–90.0532%17 Jan →
inferno13–50.1434%17 Jan →
dust213–70.0643%17 Jan →
vertigo12–120.0112%12 Jan →
overpass1–130.0353%12 Jan →
anubis13–50.1421%10 Jan →
ancient13–110.0720%10 Jan →
dust213–30.0727%10 Jan →
anubis13–2-0.0250%3 Jan →
dust213–40.0118%1 Jan →
dust213–70.0749%25 Dec →
basalt13–3-0.0127%21 Dec →
office13–40.1562%20 Dec →
nuke13–30.1044%20 Dec →
inferno13–80.1255%14 Dec →
anubis7–20.0157%14 Dec →
ancient12–120.0424%14 Dec →
train13–40.0536%14 Dec →
mirage13–110.1136%14 Dec →
ancient12–12-0.0024%11 Dec →
anubis13–10.0428%11 Dec →
inferno8–00.0733%11 Dec →
inferno2–13-0.0257%11 Dec →
inferno13–50.0455%9 Dec →
ancient6–00.0842%9 Dec →
inferno13–50.0258%7 Dec →
office11–130.0074%7 Dec →
train13–100.0435%6 Dec →
inferno13–60.1859%6 Dec →
dust21–130.0782%6 Dec →
ancient13–00.00100%6 Dec →
office13–20.1747%6 Dec →
inferno0–4-0.0750%4 Dec →

Match data via Leetify.

Recent teammates

Milestones

500 Matches11-Win StreakAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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