The Cirble

The Cirble — CS2 Stats

76561198271664452[U:1:311398724]Steam profile ↗✓ No bans

1,739Tracked matches30%Win rate2020Tracked since
CSDB Rating7.3 StrongPositional Player
Premier CS Rating22,876Top 25% of 213,211 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)
CSDB Leaderboard#45059 of 259855 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGThe CirbleFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER22,876 · Pink bandcsdb.gg/stats

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Performance scores

Aim83
Positioning81
Utility67

0–100 skill scores via Leetify.

Recent form

COLD43–47–10Last 10043%Win rateLLLWLLLLWL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +1.8pp headshot accuracy · −27ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 28%
  • Avg reaction 519ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 26%
  • Avg reaction 544ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 26%
  • Avg reaction 558ms

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).

Aim8.3
Utility6.7
Positioning8.1
Opening Duels7.4
Clutch2.8

Strong positioning

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

device

Plays most like device 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Strengths

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 75% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.6° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 560ms 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

Aim8.3
Positioning8.1
Utility6.7
Mechanics7.5
Opening Duels9.5
Win Impact0.0

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.00
first ⅓ avg 0.05 → last ⅓ avg 0.05
Reaction time568ms+8ms
first ⅓ avg 560ms → last ⅓ avg 568ms
Headshot accuracy22.7%+1.8%
first ⅓ avg 20.9% → last ⅓ avg 22.7%

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

0.16Best match rating · 13–9 · dust2, 16 Oct →
47%Best headshot accuracy · 13–6 · train, 23 Oct →
422msFastest reaction time · 13–4 · train, 15 Oct →
13–0Biggest win · fachwerk, 10 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
5–6In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 62% over 13anubisWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
fachwerkC187–1139%0.06
trainC176–1135%0.07
nukeC146–843%0.04
dust2A138–562%0.07
infernoD103–730%0.04
anubisD82–625%0.03
cacheA74–357%0.04
office—42–250%0.03
overpass—43–175%0.05
mirage—31–233%0.05
ancient—21–150%0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

49Matches
61%Win rate
1.33Avg K/D
84.6ADR
42%Headshot %

Clutches & streaks

34%1v1 clutch win
28%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust21258%1.1818.4
Mirage1173%1.4917.6
Ancient1060%1.2214.9
Inferno743%1.3815.4
Nuke475%1.3814.3
Train333%1.5223.0
Anubis2100%1.3330.5

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.

22.8%Headshot accuracy
37.5%Accuracy (enemy spotted)
40.5%Spray accuracy
83.7%Counter-strafing
10.6°Preaim
560msReaction time
75.3%T opening success
66.3%CT opening success
0.62Enemies flashed / flash
15.7%Flash assists
10.67HE damage / grenade
6.11Flashes / match

Recommended for you

Spend your practice time on Anubis

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis4–130.0125%3 Nov →
nuke10–130.0938%3 Nov →
train9–130.0329%2 Nov →
office13–80.1525%2 Nov →
dust27–130.0324%2 Nov →
fachwerk11–130.0321%2 Nov →
fachwerk10–130.0625%31 Oct →
mirage4–130.0118%31 Oct →
dust213–70.0424%31 Oct →
train10–130.1236%30 Oct →
cache10–130.0130%30 Oct →
inferno7–10.0830%30 Oct →
dust26–130.0023%30 Oct →
inferno13–60.1424%30 Oct →
train6–130.0726%29 Oct →
fachwerk12–120.1226%29 Oct →
fachwerk11–130.0323%29 Oct →
dust28–130.0325%29 Oct →
dust213–100.1014%29 Oct →
fachwerk13–2-0.0324%28 Oct →
nuke12–120.0419%28 Oct →
fachwerk12–120.0625%28 Oct →
fachwerk9–130.0525%27 Oct →
anubis11–130.0311%27 Oct →
train9–130.0619%27 Oct →
cache13–80.1013%27 Oct →
dust213–100.1216%27 Oct →
office11–13-0.0018%27 Oct →
ancient9–130.0614%27 Oct →
inferno6–130.0320%27 Oct →
train11–130.1329%26 Oct →
nuke12–120.0218%26 Oct →
anubis1–13-0.0711%26 Oct →
dust23–130.0018%26 Oct →
inferno9–13-0.0128%24 Oct →
train13–50.0522%24 Oct →
overpass13–20.1014%24 Oct →
nuke13–100.1320%24 Oct →
train13–60.0747%23 Oct →
inferno5–13-0.0227%23 Oct →
nuke3–130.0630%21 Oct →
fachwerk11–40.0919%21 Oct →
dust213–70.1126%21 Oct →
inferno12–12-0.0019%21 Oct →
train3–130.0441%20 Oct →
nuke10–130.0420%20 Oct →
nuke12–12-0.0124%19 Oct →
fachwerk13–80.1223%19 Oct →
train7–130.0829%19 Oct →
inferno12–120.0620%19 Oct →
anubis4–130.0027%19 Oct →
cache12–12-0.0118%18 Oct →
anubis4–130.099%18 Oct →
anubis13–110.0313%17 Oct →
train6–130.0320%17 Oct →
cache13–20.0140%17 Oct →
fachwerk13–70.0822%16 Oct →
inferno13–40.0625%16 Oct →
nuke13–40.028%16 Oct →
cache13–80.0424%16 Oct →
overpass13–20.1130%16 Oct →
dust213–90.1631%16 Oct →
mirage13–40.1030%16 Oct →
fachwerk10–13-0.0130%15 Oct →
train13–40.1417%15 Oct →
ancient13–50.0515%15 Oct →
nuke13–40.0017%15 Oct →
fachwerk10–130.0818%15 Oct →
mirage10–130.0318%15 Oct →
office13–9-0.0110%14 Oct →
nuke13–11-0.0428%14 Oct →
inferno12–120.0823%14 Oct →
train13–40.1019%14 Oct →
fachwerk6–130.1438%14 Oct →
dust213–80.1219%14 Oct →
train10–130.0034%13 Oct →
overpass13–11-0.0230%13 Oct →
anubis6–130.0614%12 Oct →
nuke11–130.0120%12 Oct →
inferno7–130.0119%11 Oct →
fachwerk7–130.0717%11 Oct →
office4–13-0.0421%10 Oct →
fachwerk13–70.0121%10 Oct →
cache8–130.0321%10 Oct →
dust213–80.0814%10 Oct →
nuke6–130.1019%10 Oct →
train5–130.0319%10 Oct →
dust213–80.049%10 Oct →
fachwerk13–00.0122%10 Oct →
train10–10.1316%10 Oct →
fachwerk13–90.1422%9 Oct →
overpass7–13-0.0110%9 Oct →
nuke13–90.0714%9 Oct →
cache13–110.0814%9 Oct →
fachwerk2–13-0.0232%9 Oct →
train13–70.1322%9 Oct →
anubis13–90.0919%9 Oct →
nuke13–110.0528%8 Oct →
train3–130.0329%8 Oct →
dust212–120.0431%8 Oct →

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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