xBotGunx

xBotGunx — CS2 Stats

DE76561198054046751[U:1:93781023]Steam profile ↗✓ No bans

1,529Tracked matches47%Win rate2020Tracked since
4,341Hours in CS24Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating23,472Top 25% of 213,211 CSDB-tracked playersPink band · top ~4.7% of ranked players (population est.)
CSDB Leaderboard#38565 of 259939 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

−371Premier CS Rating · 23,843 → 23,472

Rating over time

Premier CS Rating: 23,472 +123 27 Aug – 4 Nov · 23 days played
21,79524,215peak 24,21527 Aug4 Nov
24,215Peak Premier in tracked matches
33Days played since 2026-08-27

Premier CS Rating

  • 743 below peak (24,215)
  • -376 over 30 days · steady
  • Next: Red band at 25,000 — 1,528 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate36.6%46.8%48.2%11.6% short
Shot accuracy14.3%13.0%13.2%above
Kill/death ratio0.911.061.070.16 short
Match win rate43.8%46.3%46.9%3.2% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGxBotGunxFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER23,472 · Pink bandcsdb.gg/stats

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Performance scores

Aim69
Positioning71
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateLWWLLLWWLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −1.2pp headshot accuracy · +62ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 587ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 662ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 631ms

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 (+2.2 against its own average).

Aim6.9
Utility3.9
Positioning7.1
Opening Duels4.7
Clutch3.8

Limited utility dependence

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 84% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower aim profile.

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

T openings. 63% 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. 624ms 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

Aim6.9
Positioning7.1
Utility3.9
Mechanics6.5
Opening Duels6.6
Win Impact3.9

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time622ms+66ms
first ⅓ avg 556ms → last ⅓ avg 622ms
Headshot accuracy17.8%−0.4%
first ⅓ avg 18.1% → last ⅓ avg 17.8%

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

0.11Best match rating · 13–8 · ancient, 9 Oct →
52%Best headshot accuracy · 8–13 · inferno, 19 Sept →
406msFastest reaction time · 13–4 · nuke, 21 Sept →
13–1Biggest win · nuke, 1 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 57% over 23mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC2611–1542%-0.00
cacheA2313–1057%-0.01
nukeA1810–856%0.01
ancientB179–853%0.00
mirageD51–420%-0.04
dust2—41–325%0.00
anubis—44–0100%-0.01
office—21–150%-0.05
debris—11–0100%0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

102,303Lifetime kills
0.91K/D
5,748Matches
43.8%Match win rate
36.6%Headshot %
14.3%Shot accuracy · Top 50% of Level 8 players
11,391MVPs
2,374Hours (in match)
7,468Bombs planted
1,377Bombs defused

Most-used weapons

AK-4732,277
AWP6,164
P903,474
P2502,956
FAMAS2,666
Tec-92,507

Lifetime map wins

19,492nuke
12,213inferno
5,432dust2
1,256train
868cbble
661vertigo
396office
206lake

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

Faceit stats

Combat

159Matches
59%Win rate
1.16Avg K/D
80.5ADR
51%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno3969%1.1515.2
Nuke3373%1.3718.1
Dust22348%1.0715.1
Ancient1839%1.1516.0
Cache1650%1.0216.9
Anubis1164%1.2015.0
Mirage743%0.9313.1
Train10%0.9518.0

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.

17.8%Headshot accuracy
36.4%Accuracy (enemy spotted)
39.7%Spray accuracy
79.2%Counter-strafing
10.0°Preaim
624msReaction time
62.9%T opening success
49.7%CT opening success
0.41Enemies flashed / flash
4.7%Flash assists
7.93HE damage / grenade
4.79Flashes / 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 0.4143 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage1–13-0.116%4 Nov →
nuke13–20.0812%1 Nov →
cache13–80.0415%1 Nov →
cache14–160.0021%29 Oct →
ancient11–130.0218%29 Oct →
cache7–13-0.0327%29 Oct →
inferno13–10-0.0119%27 Oct →
nuke13–3-0.0221%26 Oct →
inferno10–13-0.0218%25 Oct →
dust27–13-0.0118%25 Oct →
inferno11–130.0223%25 Oct →
nuke10–13-0.0419%22 Oct →
cache13–100.0614%22 Oct →
cache11–13-0.0014%22 Oct →
nuke12–16-0.0420%22 Oct →
nuke13–80.0523%20 Oct →
inferno13–9-0.0322%19 Oct →
cache13–5-0.0218%19 Oct →
nuke13–70.0125%18 Oct →
ancient6–13-0.038%18 Oct →
cache10–13-0.026%18 Oct →
inferno9–130.0224%18 Oct →
inferno13–8-0.0115%16 Oct →
nuke13–70.0420%16 Oct →
ancient6–130.0418%15 Oct →
nuke10–130.0914%15 Oct →
inferno4–13-0.0316%15 Oct →
anubis13–40.0027%15 Oct →
cache13–60.0324%12 Oct →
cache16–14-0.009%12 Oct →
nuke12–16-0.0311%12 Oct →
nuke13–6-0.0113%9 Oct →
ancient10–13-0.0331%9 Oct →
ancient13–70.0424%9 Oct →
ancient13–80.1118%9 Oct →
anubis13–60.0321%9 Oct →
mirage7–13-0.0020%9 Oct →
ancient13–5-0.0216%8 Oct →
dust29–13-0.0424%5 Oct →
inferno13–8-0.0121%4 Oct →
cache6–13-0.0021%4 Oct →
cache13–11-0.0132%29 Sept →
cache13–100.0130%29 Sept →
inferno13–110.0219%28 Sept →
dust213–60.0522%28 Sept →
cache13–4-0.079%28 Sept →
anubis13–9-0.0223%28 Sept →
anubis16–13-0.0515%27 Sept →
mirage4–13-0.0713%25 Sept →
mirage14–16-0.0316%25 Sept →
cache6–13-0.0523%25 Sept →
nuke15–15-0.0522%25 Sept →
inferno12–16-0.0116%24 Sept →
mirage13–50.0220%24 Sept →
inferno8–13-0.0416%24 Sept →
inferno11–13-0.0226%21 Sept →
nuke13–4-0.044%21 Sept →
cache13–7-0.0815%21 Sept →
ancient4–13-0.0626%20 Sept →
cache8–13-0.0513%20 Sept →
nuke11–13-0.0415%20 Sept →
cache13–10-0.0215%20 Sept →
inferno13–60.0210%20 Sept →
office13–6-0.0423%20 Sept →
office5–13-0.0624%20 Sept →
ancient16–13-0.0118%19 Sept →
dust29–130.0134%19 Sept →
inferno8–13-0.0252%19 Sept →
ancient13–7-0.0217%19 Sept →
inferno11–13-0.0216%19 Sept →
inferno13–100.0238%19 Sept →
ancient13–7-0.0015%7 Sept →
inferno7–130.0115%7 Sept →
cache13–10-0.0413%7 Sept →
ancient7–13-0.047%6 Sept →
cache10–13-0.0422%6 Sept →
nuke13–70.0118%6 Sept →
inferno13–110.1019%6 Sept →
inferno13–10-0.0326%3 Sept →
ancient10–13-0.0312%3 Sept →
inferno6–130.0121%3 Sept →
cache13–70.0216%1 Sept →
nuke13–1-0.0113%1 Sept →
cache10–130.0115%31 Aug →
inferno6–13-0.0427%31 Aug →
nuke13–60.1012%31 Aug →
debris9–30.0521%31 Aug →
inferno4–9-0.0423%31 Aug →
ancient9–13-0.0416%30 Aug →
ancient13–50.037%30 Aug →
ancient13–110.0213%30 Aug →
nuke11–130.0113%30 Aug →
nuke5–13-0.0326%30 Aug →
inferno16–140.0512%28 Aug →
inferno5–13-0.0018%27 Aug →
inferno13–80.0319%27 Aug →
ancient13–30.0715%27 Aug →
inferno15–15-0.0021%27 Aug →
cache11–13-0.048%27 Aug →
cache13–80.0212%27 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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