Dexterity♡

Dexterity♡ — CS2 Stats

US76561198121481638[U:1:161215910]Steam profile ↗✓ No bans

1,138Tracked matches38%Win rate2024Tracked since
1,324Hours in CS7Hrs last 2 wks
CSDB Rating2.9 LearningPositional Player
Premier CS Rating11,390Blue band · top ~47.5% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (50 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 11,390 → 11,390
+17Tracked matches · now 1,138
−18.1ppWin rate · 55.6% → 37.5%

Rating over time

Premier CS Rating: 11,390 +0 11 Apr – 30 Aug · 2 days played
11,39011,390peak 11,39011 Apr30 Aug
11,802Peak Premier in tracked matches
50Days played since 2026-04-01

Premier CS Rating

  • At peak — 11,390
  • Next: Purple band at 15,000 — 3,610 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-30
  • Light Blue band first seen 2026-08-30

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 5 among CSDB-tracked players (n=13,934), 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 5 medianLevel 6 medianvs Level 6
Headshot rate38.7%43.7%44.8%6.1% short
Shot accuracy0.1%12.0%12.4%12.3% short
Kill/death ratio0.821.021.030.21 short
Match win rate42.4%44.7%45.2%2.9% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDexterity♡FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER11,390 · Blue bandcsdb.gg/stats

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Performance scores

Aim37
Positioning34
Utility29

0–100 skill scores via Leetify.

Recent form

COLD43–44–13Last 10043%Win rateLLWTWTLLTL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +0.5pp headshot accuracy · +16ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 667ms

Last 10

  • 2–5–3 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 648ms

Last 20

  • 6–10–4 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 640ms

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 (+1.7 against its own average).

Aim3.7
Utility2.9
Positioning3.4
Opening Duels0.5
Clutch0.0

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

ZywOo

Plays most like ZywOo 82% 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

Areas to improve

T-side openings. Opening success drops from 40% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 633ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.7
Positioning3.4
Utility2.9
Mechanics4.4
Opening Duels1.2
Win Impact0.8

Composite 2.9/10 (Learning), 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-0.05−0.03
first ⅓ avg -0.02 → last ⅓ avg -0.05
Reaction time644ms−16ms
first ⅓ avg 660ms → last ⅓ avg 644ms
Headshot accuracy11.0%−0.8%
first ⅓ avg 11.8% → last ⅓ avg 11.0%

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

0.17Best match rating · 9–2 · nuke, 2 Jun →
30%Best headshot accuracy · 1–9 · nuke, 1 Aug →
500msFastest reaction time · 13–8 · nuke, 25 Sept →
13–1Biggest win · nuke, 17 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
4–9In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 50% over 60cacheWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
nukeB6030–3050%-0.02
cacheD102–820%-0.05
anubisC52–340%-0.01
dust2C52–340%-0.05
vertigoC52–340%-0.07
ancient—42–250%-0.07
train—31–233%-0.04
mirage—30–30%-0.05
fachwerk—21–150%-0.02
overpass—20–20%-0.08
alpine—11–0100%-0.03

Across the last 100 tracked matches.

Lifetime stats

19,904Lifetime kills
0.82K/D
1,615Matches
42.4%Match win rate
38.7%Headshot %
0.1%Shot accuracy
3,518MVPs
665Hours (in match)
1,039Bombs planted
218Bombs defused

Most-used weapons

Lifetime map wins

6,525nuke
2,082inferno
1,321train
938dust2
368vertigo
33office
7ar_shoots
3ar_baggage

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

Faceit stats

Combat

18Matches
56%Win rate
0.79Avg K/D
74.8ADR
40%Headshot %

Clutches & streaks

10%1v1 clutch win
12%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust2650%0.8512.7
Nuke560%0.7011.2
Anubis450%0.9215.5
Ancient250%0.6611.0
Mirage1100%0.609.0

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.

10.5%Headshot accuracy
31.7%Accuracy (enemy spotted)
30.7%Spray accuracy
70.0%Counter-strafing
10.2°Preaim
633msReaction time
21.9%T opening success
39.5%CT opening success
0.45Enemies flashed / flash
2.9%Flash assists
8.56HE damage / grenade
4.23Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.4616% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4494 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 21.9424% — below the 40% mark we flag

Spend your practice time on Cache

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 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke7–9-0.0111%18 Oct →
nuke9–13-0.057%18 Oct →
nuke13–10.0314%17 Oct →
ancient12–12-0.0713%10 Oct →
anubis13–7-0.047%10 Oct →
train12–12-0.0615%10 Oct →
nuke11–13-0.067%10 Oct →
cache11–13-0.108%10 Oct →
dust212–12-0.0814%10 Oct →
cache6–13-0.009%8 Oct →
vertigo9–13-0.106%8 Oct →
nuke8–13-0.065%3 Oct →
nuke8–13-0.0218%26 Sept →
nuke13–8-0.069%25 Sept →
nuke13–9-0.077%19 Sept →
nuke12–12-0.0114%5 Sept →
nuke9–13-0.099%2 Sept →
nuke13–6-0.056%21 Aug →
nuke13–9-0.0011%21 Aug →
nuke5–13-0.0014%14 Aug →
nuke7–13-0.0810%2 Aug →
nuke1–9-0.2030%1 Aug →
nuke12–12-0.026%24 Jul →
nuke11–13-0.026%24 Jul →
vertigo2–13-0.1012%23 Jul →
fachwerk13–70.0015%23 Jul →
nuke13–3-0.0010%23 Jul →
anubis5–13-0.0311%23 Jul →
train13–11-0.0119%23 Jul →
mirage8–13-0.079%23 Jul →
cache9–13-0.0714%23 Jul →
fachwerk12–12-0.059%9 Jul →
nuke6–9-0.007%9 Jul →
nuke8–13-0.0523%2 Jul →
nuke7–9-0.016%1 Jul →
nuke9–3-0.039%30 Jun →
nuke8–80.067%30 Jun →
nuke13–100.019%29 Jun →
ancient10–13-0.074%21 Jun →
train11–13-0.0413%21 Jun →
dust212–12-0.1012%21 Jun →
cache13–8-0.0410%21 Jun →
overpass7–13-0.098%15 Jun →
nuke13–6-0.009%15 Jun →
vertigo13–9-0.0310%15 Jun →
mirage8–13-0.0717%15 Jun →
nuke13–9-0.0521%15 Jun →
nuke13–11-0.0511%10 Jun →
nuke13–9-0.106%8 Jun →
nuke13–9-0.0611%8 Jun →
nuke1–9-0.2020%7 Jun →
nuke13–6-0.0115%6 Jun →
nuke13–110.0012%5 Jun →
nuke9–50.0314%5 Jun →
nuke9–13-0.0718%3 Jun →
nuke13–7-0.0120%2 Jun →
nuke9–20.1713%2 Jun →
nuke7–90.1117%2 Jun →
nuke4–13-0.1114%2 Jun →
nuke9–13-0.048%2 Jun →
nuke11–13-0.028%31 May →
nuke6–13-0.0315%31 May →
vertigo10–13-0.0816%30 May →
mirage9–13-0.0320%30 May →
cache8–13-0.0711%30 May →
nuke12–12-0.063%27 May →
nuke13–100.0110%27 May →
nuke13–7-0.0412%27 May →
dust211–13-0.0618%25 May →
cache4–13-0.068%25 May →
nuke5–9-0.1219%24 May →
nuke13–80.0815%22 May →
cache3–13-0.099%12 May →
cache12–12-0.106%12 May →
cache13–20.0215%12 May →
nuke12–120.0222%5 May →
cache6–13-0.026%5 May →
nuke13–40.0112%23 Apr →
nuke13–10.079%23 Apr →
nuke2–13-0.1213%21 Apr →
nuke13–10-0.0111%20 Apr →
nuke13–70.0713%20 Apr →
nuke12–120.014%17 Apr →
nuke13–10-0.0211%15 Apr →
nuke13–10-0.0514%14 Apr →
nuke4–13-0.0012%12 Apr →
nuke3–13-0.0611%12 Apr →
nuke13–50.0912%12 Apr →
overpass9–13-0.065%11 Apr →
ancient13–11-0.0810%11 Apr →
nuke13–20.0114%11 Apr →
anubis13–20.0412%11 Apr →
dust213–90.0113%9 Apr →
ancient13–9-0.047%5 Apr →
dust213–5-0.0112%4 Apr →
anubis12–12-0.0617%4 Apr →
anubis7–130.0613%4 Apr →
nuke13–9-0.0110%1 Apr →
alpine13–7-0.0315%1 Apr →
vertigo13–8-0.0312%1 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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