[RBG] | DuCtRiXx

[RBG] | DuCtRiXx — CS2 Stats

76561198004879288[U:1:44613560]Steam profile ↗✓ No bans

4,937Tracked matches53%Win rate2020Tracked since
10,466Hours in CS46Hrs last 2 wks
CSDB Rating6.1 SolidSupport
FaceitLevel 8 · 1,473 ELOTop 31.2% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

−245Faceit ELO · 1,718 → 1,473

Rating over time

Premier CS Rating: 19,377 -1,046 8 Apr – 2 May · 14 days played
18,93720,423peak 20,4238 Apr2 May
20,423Peak Premier in tracked matches
1,718Highest Faceit ELO seen on CSDB
48Days played since 2026-04-06

Faceit ELO

  • 245 below peak (1,718)
  • Next: Level 8 at 1,531 — 58 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

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 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 rate37.7%46.8%48.2%10.5% short
Shot accuracy16.9%13.0%13.2%above
Kill/death ratio0.911.061.070.16 short
Match win rate44.8%46.3%46.9%2.1% 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.GG[RBG] | DuCtRiXxFACEITLevel 8 · 1,473 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,718csdb.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

Aim75
Positioning59
Utility74

0–100 skill scores via Leetify.

Recent form

HOT47–51–2Last 10047%Win rateWWWLWLWWLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −1.2pp headshot accuracy · −39ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 597ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 595ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 614ms

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: Support — Utility contribution stands above the rest of this profile (+2.4 against its own average).

Aim7.5
Utility7.4
Positioning5.9
Opening Duels3.5
Clutch3.4

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

NiKo

Plays most like NiKo 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Areas to improve

Reaction time. 622ms 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

Aim7.5
Positioning5.9
Utility7.4
Mechanics8.3
Opening Duels3.6
Win Impact6.1

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time620ms−33ms
first ⅓ avg 653ms → last ⅓ avg 620ms
Headshot accuracy17.7%−0.0%
first ⅓ avg 17.8% → last ⅓ avg 17.7%

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 · 13–4 · inferno, 21 Apr →
38%Best headshot accuracy · 13–4 · ancient, 15 Apr →
469msFastest reaction time · 13–7 · inferno, 15 Apr →
13–0Biggest win · inferno, 25 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
4–7In matches decided by ≤2 rounds
16Overtime games

Map breakdown

dust2Best map · 57% over 21nukeWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB3417–1750%0.01
ancientB2311–1248%0.00
dust2A2112–957%-0.00
nukeC83–538%-0.02
anubisC52–340%-0.02
cache—42–250%-0.05
mirage—30–30%-0.04
overpass—20–20%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

219,957Lifetime kills
0.91K/D
11,583Matches
44.8%Match win rate
37.7%Headshot %
16.9%Shot accuracy · Top 25% of Level 8 players
26,206MVPs
6,204Hours (in match)
15,916Bombs planted
3,630Bombs defused

Most-used weapons

AK-4775,300
AWP28,838
Knife5,820
FAMAS4,728

Lifetime map wins

49,907inferno
26,685dust2
5,756nuke
3,641vertigo
3,076train
1,844cbble
90office
42dust

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

Faceit stats

Combat

5,495Matches
49%Win rate
1.01Avg K/D
71.8ADR
39%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust237052%1.0515.1
Ancient36548%0.9914.9
Inferno34951%1.0214.3
Anubis25544%1.0014.7
Nuke14952%0.9814.6
Vertigo7649%1.0715.3
Mirage7337%0.9914.6
Overpass6045%0.9014.4

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)
38.9%Spray accuracy
87.3%Counter-strafing
10.0°Preaim
622msReaction time
45.0%T opening success
44.0%CT opening success
0.59Enemies flashed / flash
14.4%Flash assists
10.17HE damage / grenade
12.97Flashes / match

Recommended for you

Spend your practice time on Nuke

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–100.0116%30 Oct →
ancient13–60.0513%29 Oct →
ancient13–90.0824%28 Oct →
cache14–16-0.0730%25 Oct →
ancient16–13-0.0225%24 Oct →
inferno9–130.0114%14 Oct →
ancient13–40.0919%14 Oct →
inferno13–70.0310%14 Oct →
mirage5–13-0.1022%12 Oct →
dust213–10-0.0011%12 Oct →
inferno11–13-0.0123%6 Oct →
ancient13–50.0724%6 Oct →
dust24–13-0.0511%6 Oct →
cache13–11-0.0420%29 Sept →
ancient6–13-0.0626%12 Sept →
inferno13–60.0511%9 Sept →
anubis13–7-0.0225%7 Sept →
inferno11–13-0.0424%28 Aug →
anubis7–13-0.0318%20 Aug →
inferno9–13-0.0015%29 Jun →
ancient8–13-0.049%29 May →
inferno13–30.0316%29 May →
dust213–5-0.0320%29 May →
dust29–130.0416%28 May →
inferno19–16-0.0113%27 May →
ancient7–130.0211%26 May →
anubis10–130.0016%26 May →
inferno8–130.0520%26 May →
inferno13–80.0612%25 May →
inferno13–100.0615%25 May →
inferno13–00.0727%25 May →
ancient8–13-0.0317%18 May →
ancient10–130.0013%18 May →
ancient13–8-0.0321%17 May →
dust211–13-0.0317%13 May →
ancient1–13-0.098%12 May →
inferno13–90.074%6 May →
dust213–70.0615%5 May →
dust213–10-0.0321%5 May →
dust213–70.0313%5 May →
inferno9–130.0220%5 May →
dust26–13-0.0310%3 May →
ancient9–13-0.0016%3 May →
cache3–13-0.0819%3 May →
dust213–8-0.0122%3 May →
nuke9–13-0.0417%2 May →
dust213–100.0726%1 May →
ancient8–13-0.0313%1 May →
inferno5–130.0219%28 Apr →
ancient13–60.0219%28 Apr →
cache16–14-0.0224%27 Apr →
inferno6–13-0.0415%27 Apr →
ancient10–130.0413%27 Apr →
nuke8–130.0025%26 Apr →
inferno8–13-0.0116%26 Apr →
ancient12–16-0.0225%23 Apr →
dust216–130.0521%23 Apr →
dust210–13-0.0515%22 Apr →
ancient16–130.0710%22 Apr →
inferno9–13-0.0120%21 Apr →
inferno13–40.1125%21 Apr →
inferno5–13-0.0515%21 Apr →
inferno8–13-0.0635%20 Apr →
ancient6–130.0020%19 Apr →
dust213–100.0513%18 Apr →
ancient13–11-0.0324%17 Apr →
inferno19–16-0.0020%17 Apr →
dust27–13-0.0415%17 Apr →
dust21–6-0.170%16 Apr →
inferno13–70.0020%15 Apr →
dust213–60.0229%15 Apr →
inferno7–130.0215%15 Apr →
ancient13–40.0138%15 Apr →
inferno13–80.0022%15 Apr →
nuke13–50.0024%15 Apr →
dust216–140.0818%14 Apr →
inferno10–130.035%14 Apr →
anubis9–0-0.026%14 Apr →
inferno13–7-0.0110%14 Apr →
dust213–30.0415%14 Apr →
dust28–13-0.0319%14 Apr →
overpass8–13-0.0515%14 Apr →
nuke12–16-0.0221%14 Apr →
mirage14–16-0.0121%14 Apr →
mirage15–15-0.0117%13 Apr →
anubis10–13-0.0014%13 Apr →
inferno13–40.0123%13 Apr →
nuke8–13-0.0531%13 Apr →
nuke13–4-0.0115%13 Apr →
inferno5–13-0.0225%13 Apr →
inferno6–130.0324%13 Apr →
inferno13–8-0.0314%13 Apr →
dust22–9-0.0738%10 Apr →
ancient13–60.0211%9 Apr →
overpass15–150.0615%8 Apr →
ancient14–16-0.0418%8 Apr →
inferno7–13-0.0615%8 Apr →
nuke14–16-0.0410%7 Apr →
nuke28–24-0.0413%7 Apr →
inferno13–6-0.0513%6 Apr →

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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