Civility

Civility — CS2 Stats

US76561199310130914[U:1:1349865186]Steam profile ↗✓ No bans

636Tracked matches73%Win rate2023Tracked since
4,104Hours in CS2Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating10,816Blue band · top ~50.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,816 +3,263 7 Jun – 16 Oct · 36 days played
3,11011,924peak 11,9247 Jun16 Oct
12,279Peak Premier in tracked matches
43Days played since 2026-06-07

Premier CS Rating

  • 1,108 below peak (11,924)
  • -513 over 30 days · declining
  • Next: Purple band at 15,000 — 4,184 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-08

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate32.6%42.0%44.3%11.7% short
Shot accuracy0.5%9.6%11.9%11.4% short
Kill/death ratio1.110.981.03above
Match win rate47.1%43.8%45.2%above

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

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

Share this profile

CSDB.GGCivilityPREMIER10,816 · Blue bandcsdb.gg/stats

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Performance scores

Aim68
Positioning55
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateLLLWWLLLWW

Last 10 vs previous 10: −50pp win rate · −0.00 avg rating · +1.9pp headshot accuracy · −20ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 519ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 549ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 559ms

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 (+1.8 against its own average).

Aim6.8
Utility2.7
Positioning5.5
Opening Duels2.9

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 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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. 579ms 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

Aim6.8
Positioning5.5
Utility2.7
Mechanics4.4
Opening Duels3.5
Win Impact10.0

Composite 5.3/10 (Developing), 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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time596ms−37ms
first ⅓ avg 633ms → last ⅓ avg 596ms
Headshot accuracy15.6%−3.0%
first ⅓ avg 18.6% → last ⅓ avg 15.6%

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 · 13–4 · cache, 28 Aug →
83%Best headshot accuracy · 13–3 · dust2, 12 Jun →
422msFastest reaction time · 13–1 · inferno, 13 Sept →
13–0Biggest win · mirage, 13 Sept →

Across the last 100 tracked matches.

Highlights

15Longest win streak
L3Current streak
7–13In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 75% over 8ancientWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
nukeC208–1240%-0.01
dust2S1913–668%0.03
mirageC188–1044%-0.01
ancientD186–1233%-0.00
infernoB115–645%0.01
anubisS86–275%0.02
cache—43–175%0.05
overpass—21–150%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,676Lifetime kills
1.11K/D · Top 25% of Blue band
866Matches
47.1%Match win rate · Top 25% of Blue band
32.6%Headshot %
0.5%Shot accuracy
2,033MVPs
366Hours (in match)
1,118Bombs planted
218Bombs defused

Most-used weapons

Lifetime map wins

2,594dust2
1,026nuke
895inferno
464vertigo
426train
80office
7italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.0%Headshot accuracy
37.1%Accuracy (enemy spotted)
38.2%Spray accuracy
70.0%Counter-strafing
8.8°Preaim
579msReaction time
39.0%T opening success
48.9%CT opening success
0.35Enemies flashed / flash
1.0%Flash assists
9.59HE damage / grenade
7.22Flashes / 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 0.3534 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 38.968% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage5–130.0128%16 Oct →
mirage11–13-0.0220%16 Oct →
inferno11–130.0316%13 Oct →
anubis16–14-0.0621%27 Sept →
nuke13–4-0.0712%27 Sept →
ancient14–16-0.017%25 Sept →
inferno4–13-0.0350%25 Sept →
ancient4–13-0.0617%23 Sept →
cache13–8-0.014%23 Sept →
inferno13–110.0010%21 Sept →
mirage13–6-0.0915%19 Sept →
mirage14–16-0.0916%18 Sept →
dust213–100.0241%15 Sept →
dust213–90.0019%15 Sept →
mirage13–3-0.0018%14 Sept →
mirage13–110.1211%14 Sept →
mirage13–0-0.0513%13 Sept →
dust213–0-0.0113%13 Sept →
inferno13–1-0.0313%13 Sept →
mirage13–2-0.038%13 Sept →
ancient13–50.049%13 Sept →
anubis13–00.033%13 Sept →
nuke9–00.0413%13 Sept →
anubis13–2-0.027%13 Sept →
inferno13–0-0.0111%13 Sept →
cache13–20.016%13 Sept →
nuke13–1-0.0314%13 Sept →
dust28–13-0.0117%13 Sept →
ancient13–11-0.038%12 Sept →
dust213–50.0631%12 Sept →
nuke1–13-0.0610%6 Sept →
nuke13–100.065%6 Sept →
anubis13–80.0529%6 Sept →
ancient11–130.0012%3 Sept →
inferno7–13-0.0729%31 Aug →
mirage7–130.0516%30 Aug →
dust25–130.0228%30 Aug →
nuke11–13-0.0227%30 Aug →
mirage11–130.0015%30 Aug →
nuke13–30.059%29 Aug →
dust213–70.0432%29 Aug →
cache13–40.1533%28 Aug →
anubis10–130.0614%26 Aug →
inferno13–110.1025%25 Aug →
ancient12–16-0.0119%23 Aug →
inferno11–13-0.0433%23 Aug →
nuke13–80.0325%21 Aug →
dust213–20.0210%20 Aug →
ancient13–160.0015%20 Aug →
dust213–80.0220%17 Aug →
inferno8–130.0712%17 Aug →
mirage10–13-0.0217%16 Aug →
nuke12–16-0.0412%16 Aug →
mirage13–50.0242%16 Aug →
nuke13–60.0313%15 Aug →
anubis13–80.0421%15 Aug →
inferno13–50.028%15 Aug →
dust213–80.1221%15 Aug →
anubis13–80.0321%14 Aug →
ancient10–130.1015%13 Aug →
cache5–130.0411%14 Jul →
ancient13–30.1412%12 Jul →
mirage10–13-0.1019%2 Jul →
anubis14–160.0410%22 Jun →
mirage3–13-0.0316%22 Jun →
dust22–13-0.0245%21 Jun →
ancient9–130.017%21 Jun →
nuke10–13-0.0625%17 Jun →
nuke14–16-0.0112%16 Jun →
mirage13–80.0524%15 Jun →
ancient0–13-0.0525%15 Jun →
nuke13–80.0040%13 Jun →
dust214–16-0.0717%13 Jun →
nuke8–13-0.057%13 Jun →
ancient13–40.0414%12 Jun →
dust213–30.0183%12 Jun →
ancient1–4-0.0613%12 Jun →
dust211–130.0820%12 Jun →
dust23–13-0.0411%11 Jun →
nuke8–13-0.1012%11 Jun →
nuke8–130.076%11 Jun →
ancient16–140.005%11 Jun →
mirage13–30.0511%11 Jun →
dust213–50.0229%11 Jun →
ancient13–16-0.016%10 Jun →
overpass6–13-0.0623%10 Jun →
mirage11–130.0219%10 Jun →
nuke13–16-0.0012%10 Jun →
nuke15–15-0.0122%10 Jun →
ancient3–13-0.029%9 Jun →
nuke3–13-0.016%9 Jun →
dust213–50.0924%9 Jun →
inferno8–130.055%9 Jun →
mirage2–13-0.0142%9 Jun →
ancient13–5-0.077%9 Jun →
dust216–140.0716%9 Jun →
dust213–60.0917%9 Jun →
nuke4–13-0.0617%9 Jun →
overpass13–90.0523%8 Jun →
ancient5–13-0.0215%7 Jun →

Match data via Leetify.

Recent teammates

Milestones

500 Matches15-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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