Darix

Darix — CS2 Stats

DE76561198293383910[U:1:333118182]Steam profile ↗✓ No bans

2,458Tracked matches47%Win rate2021Tracked since
2,983Hours in CS15Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
Premier CS Rating12,658Blue band · top ~40.8% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+77Premier CS Rating · 12,581 → 12,658

Rating over time

Premier CS Rating: 12,658 +1,277 23 Jul – 1 Oct · 43 days played
11,38114,704peak 14,70423 Jul1 Oct
14,772Peak Premier in tracked matches
44Days played since 2026-07-23

Premier CS Rating

  • 2,046 below peak (14,704)
  • +157 over 30 days · steady
  • Next: Purple band at 15,000 — 2,342 to go
  • Reached: Blue band · Light Blue band

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

Compare periods

Last 7 days vs previous 7

No matches recorded between 26 Sep 2026 and 1 Oct 2026.

Measured 26 Sep 2026 → 1 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=2,268), 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 1 medianLevel 2 medianvs Level 2
Headshot rate43.6%40.9%41.3%above
Shot accuracy10.0%14.2%12.7%2.6% short
Kill/death ratio0.860.950.950.10 short
Match win rate43.2%42.1%42.6%meets

This profile matches the typical Level 2 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDarixFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER12,658 · Blue bandcsdb.gg/stats

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Performance scores

Aim82
Positioning52
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLWWLWLLWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +8.4pp headshot accuracy · +4ms 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 -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 555ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 552ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 550ms

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 (+0.9 against its own average).

Aim8.2
Utility4.7
Positioning5.2
Opening Duels3.1

Strong CT-side openerLimited 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

NiKo

Plays most like NiKo 94% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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

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. 554ms 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

Aim8.2
Positioning5.2
Utility4.7
Mechanics6.8
Opening Duels4.3
Win Impact3.9

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time553ms−63ms
first ⅓ avg 616ms → last ⅓ avg 553ms
Headshot accuracy19.1%+2.3%
first ⅓ avg 16.8% → last ⅓ avg 19.1%

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 · 13–6 · dust2, 5 Sept →
38%Best headshot accuracy · 6–13 · anubis, 24 Sept →
406msFastest reaction time · 8–8 · inferno, 28 Jul →
13–1Biggest win · dust2, 25 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 62% over 13dust2Weakest map · 41% over 32
MapGradePlayedRecordWin rateAvg rating
dust2C3213–1941%0.00
infernoB3014–1647%0.01
ancientA1810–856%-0.00
anubisA138–562%0.02
nuke—21–150%0.01
cache—21–150%0.03
mirage—21–150%-0.01
vertigo—11–0100%-0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (41% over 32). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,993Lifetime kills
0.86K/D
4,268Matches
43.2%Match win rate · Top 50% of Level 1 players
43.6%Headshot % · Top 50% of Level 1 players
10.0%Shot accuracy
12,704MVPs
1,467Hours (in match)
3,103Bombs planted
561Bombs defused

Most-used weapons

AK-4716,206
AWP5,257
FAMAS2,116
MP91,978
MP71,467

Lifetime map wins

5,877inferno
5,313office
5,181dust2
1,886vertigo
822nuke
583train
470italy
353lake

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

Faceit stats

Combat

11Matches
45%Win rate
0.76Avg K/D
—ADR
37%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

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.

18.8%Headshot accuracy
35.0%Accuracy (enemy spotted)
36.5%Spray accuracy
80.4%Counter-strafing
6.5°Preaim
554msReaction time
42.1%T opening success
52.2%CT opening success
0.42Enemies flashed / flash
6.8%Flash assists
9.23HE damage / grenade
3.07Flashes / 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 0.4152 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

41% win rate across 32 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust25–13-0.0716%1 Oct →
dust213–70.0826%1 Oct →
nuke13–11-0.0217%28 Sept →
ancient6–13-0.0326%24 Sept →
ancient16–14-0.0326%24 Sept →
anubis6–13-0.0238%24 Sept →
nuke8–130.0320%23 Sept →
ancient13–40.0628%23 Sept →
dust210–13-0.0624%22 Sept →
dust213–3-0.0215%22 Sept →
inferno13–16-0.0415%21 Sept →
ancient13–60.0313%21 Sept →
ancient13–3-0.017%19 Sept →
dust213–8-0.0017%19 Sept →
dust23–13-0.1018%19 Sept →
ancient8–130.0219%18 Sept →
ancient9–13-0.0413%17 Sept →
dust26–130.0623%17 Sept →
inferno13–11-0.0211%17 Sept →
dust211–13-0.0315%16 Sept →
inferno13–10-0.0212%16 Sept →
dust210–13-0.0319%15 Sept →
ancient6–13-0.029%7 Sept →
dust213–80.0128%7 Sept →
dust24–130.0014%6 Sept →
inferno13–110.019%6 Sept →
dust26–13-0.0226%6 Sept →
inferno13–8-0.0431%6 Sept →
inferno11–13-0.0015%5 Sept →
ancient13–7-0.0016%5 Sept →
dust213–60.1525%5 Sept →
anubis13–40.1018%5 Sept →
dust213–11-0.0222%5 Sept →
anubis15–150.0116%4 Sept →
dust28–130.0123%3 Sept →
inferno13–100.0517%3 Sept →
dust25–13-0.0310%2 Sept →
inferno8–13-0.0220%2 Sept →
anubis9–13-0.0211%1 Sept →
dust25–13-0.0016%1 Sept →
inferno7–9-0.0217%1 Sept →
ancient13–7-0.008%1 Sept →
anubis13–50.0420%31 Aug →
dust211–13-0.0112%31 Aug →
dust29–13-0.0414%30 Aug →
anubis4–13-0.0522%30 Aug →
dust210–13-0.0213%29 Aug →
inferno13–8-0.0118%29 Aug →
inferno7–13-0.0126%29 Aug →
dust213–10-0.049%29 Aug →
dust28–13-0.069%29 Aug →
inferno13–40.027%29 Aug →
cache13–70.0215%29 Aug →
ancient10–13-0.009%29 Aug →
inferno4–130.047%27 Aug →
inferno8–13-0.027%27 Aug →
anubis13–100.0318%26 Aug →
ancient4–13-0.019%25 Aug →
anubis13–60.065%24 Aug →
inferno4–13-0.0414%21 Aug →
ancient9–13-0.0417%21 Aug →
ancient13–60.048%21 Aug →
dust24–13-0.0318%21 Aug →
ancient13–50.0213%20 Aug →
inferno13–90.0512%20 Aug →
inferno4–9-0.0415%20 Aug →
dust213–10-0.0121%18 Aug →
anubis13–80.0829%16 Aug →
inferno13–40.0215%16 Aug →
inferno13–5-0.039%14 Aug →
dust213–16-0.0014%10 Aug →
cache8–130.0318%10 Aug →
inferno7–13-0.0510%9 Aug →
anubis16–13-0.0119%6 Aug →
anubis6–130.0129%6 Aug →
mirage8–13-0.0316%5 Aug →
dust213–70.0823%4 Aug →
anubis13–100.0815%4 Aug →
inferno9–13-0.0013%3 Aug →
dust24–130.0420%1 Aug →
inferno15–150.0416%1 Aug →
inferno13–30.0323%30 Jul →
ancient13–100.0213%30 Jul →
anubis16–14-0.016%30 Jul →
ancient11–13-0.0222%28 Jul →
inferno9–30.1035%28 Jul →
inferno8–8-0.0315%28 Jul →
inferno13–70.0810%27 Jul →
inferno6–130.0615%27 Jul →
inferno13–160.087%26 Jul →
dust27–13-0.009%26 Jul →
vertigo9–6-0.1021%26 Jul →
dust213–100.0414%25 Jul →
ancient13–110.0212%25 Jul →
inferno11–130.0121%25 Jul →
dust213–30.0917%25 Jul →
dust213–10.0117%25 Jul →
inferno13–90.0511%24 Jul →
dust213–60.0826%24 Jul →
mirage13–110.0115%23 Jul →

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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