DAR1US

DAR1US — CS2 Stats

76561198016759536[U:1:56493808]Steam profile ↗✓ No bans

3,111Tracked matches57%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
FaceitLevel 10 · 2,347 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGDAR1USFACEITLevel 10 · 2,347 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning50
Utility66

0–100 skill scores via Leetify.

Recent form

HOT58–42Last 10058%Win rateWWWWWLWWWL

Last 10 vs previous 10: +50pp win rate · +0.03 avg rating · +5.5pp headshot accuracy · −62ms reaction

Win rate up 50pp 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 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 558ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 581ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 612ms

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
Utility6.6
Positioning5.0
Opening Duels1.7
Clutch3.6

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

Twistzz

Plays most like Twistzz 87% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 599ms 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
Positioning5.0
Utility6.6
Mechanics7.5
Opening Duels1.7
Win Impact7.2

Composite 6.3/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time599ms−49ms
first ⅓ avg 648ms → last ⅓ avg 599ms
Headshot accuracy22.2%+2.0%
first ⅓ avg 20.1% → last ⅓ avg 22.2%

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

0.15Best match rating · 13–9 · vertigo, 9 Jun →
44%Best headshot accuracy · 5–13 · inferno, 15 Aug →
477msFastest reaction time · 13–7 · anubis, 27 Apr →
13–1Biggest win · anubis, 26 Apr →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W5Current streak
8–5In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 78% over 9mirageWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA2214–864%0.00
overpassB157–847%0.01
ancientA149–564%0.03
dust2B136–746%0.00
nukeA116–555%0.01
mirageC104–640%-0.01
anubisS97–278%0.01
train—43–175%0.04
cache—11–0100%-0.05
vertigo—11–0100%0.15

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,172Matches
50%Win rate
1.16Avg K/D
74.5ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
14Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient35155%1.1516.1
Inferno29654%1.1314.5
Anubis24247%1.1115.7
Dust222945%1.0615.2
Mirage17844%0.9614.6
Nuke10752%1.0915.5
Overpass6941%1.1615.6
Vertigo3644%1.0513.6

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.

23.0%Headshot accuracy
32.6%Accuracy (enemy spotted)
31.7%Spray accuracy
83.6%Counter-strafing
8.4°Preaim
599msReaction time
38.0%T opening success
35.3%CT opening success
0.70Enemies flashed / flash
10.7%Flash assists
7.89HE damage / grenade
12.78Flashes / 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. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 38.0493% — below the 40% mark we flag

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.

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–8-0.0117%19 Sept →
mirage16–13-0.0417%10 Sept →
dust213–50.0227%3 Sept →
mirage13–70.1138%29 Aug →
mirage13–100.0521%21 Aug →
inferno5–130.0244%15 Aug →
cache13–11-0.0531%17 Jul →
vertigo13–90.1525%9 Jun →
dust213–70.0523%9 Jun →
nuke4–13-0.0425%17 May →
dust211–13-0.0127%8 May →
dust27–13-0.064%2 May →
mirage8–13-0.0517%1 May →
anubis9–13-0.0129%28 Apr →
anubis13–70.0024%27 Apr →
anubis13–10.0626%26 Apr →
overpass6–130.0321%24 Apr →
dust25–130.0026%29 Mar →
overpass13–100.0922%27 Mar →
nuke2–13-0.1018%21 Mar →
overpass13–80.1126%14 Mar →
overpass13–10-0.0822%12 Mar →
inferno7–13-0.0224%12 Mar →
mirage2–12-0.1015%12 Mar →
inferno19–16-0.0124%20 Feb →
inferno13–30.0124%20 Feb →
dust24–13-0.0118%20 Feb →
overpass8–130.0513%20 Feb →
ancient13–30.0129%19 Feb →
nuke13–50.0415%19 Feb →
overpass13–11-0.0118%19 Feb →
inferno13–60.0112%13 Feb →
inferno13–160.0011%13 Feb →
nuke13–70.1017%12 Feb →
overpass18–220.0224%7 Feb →
inferno7–13-0.0029%5 Feb →
nuke11–130.0015%30 Jan →
overpass9–13-0.0024%14 Jan →
inferno13–70.0015%12 Jan →
dust27–130.0321%6 Jan →
nuke3–13-0.0623%2 Jan →
inferno4–13-0.0822%17 Dec →
dust213–90.0620%12 Dec →
dust213–7-0.0127%7 Dec →
inferno13–80.0222%28 Nov →
nuke13–90.0524%16 Nov →
inferno5–13-0.0513%16 Nov →
overpass13–30.0014%16 Nov →
dust213–16-0.0015%28 Oct →
ancient12–160.0115%14 Oct →
inferno13–100.0213%14 Oct →
train10–13-0.0221%12 Oct →
train13–80.0627%6 Oct →
inferno13–9-0.0225%5 Oct →
inferno2–13-0.0310%1 Oct →
mirage7–13-0.0622%1 Oct →
ancient16–140.0224%23 Sept →
dust213–8-0.0323%21 Sept →
inferno13–90.0316%20 Sept →
ancient7–13-0.0024%17 Sept →
overpass11–13-0.0219%16 Sept →
train13–40.0728%12 Sept →
ancient13–40.0721%12 Sept →
mirage8–13-0.0429%12 Sept →
inferno13–40.0315%12 Sept →
overpass9–13-0.0124%7 Sept →
overpass9–13-0.0313%5 Sept →
inferno16–130.0723%29 Aug →
ancient13–20.1129%26 Aug →
overpass13–70.0316%26 Aug →
inferno13–160.0218%25 Aug →
nuke6–13-0.0019%22 Aug →
ancient13–8-0.0019%21 Aug →
mirage8–13-0.0022%19 Aug →
ancient13–60.0833%12 Aug →
overpass5–13-0.0520%6 Aug →
inferno19–150.0420%30 Jul →
inferno13–7-0.0030%27 Jul →
ancient13–60.0416%27 Jul →
dust213–110.0412%24 Jul →
train13–30.0418%24 Jul →
overpass13–5-0.0015%24 Jul →
ancient9–13-0.0314%20 Jul →
anubis16–14-0.0213%7 Jul →
mirage13–30.0826%1 Jul →
nuke16–140.0615%26 Jun →
nuke13–60.0326%26 Jun →
nuke13–110.0522%25 Jun →
anubis19–170.0835%25 Jun →
inferno13–40.0116%15 Jun →
anubis13–8-0.0214%2 Jun →
inferno13–50.0111%17 May →
anubis7–13-0.037%17 May →
ancient13–30.0822%17 May →
anubis13–60.0630%16 May →
ancient11–130.0520%16 May →
ancient14–16-0.0313%16 May →
anubis13–70.0121%15 May →
mirage8–13-0.0529%15 May →
dust26–13-0.0821%15 May →

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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