C1arence

C1arence — CS2 Stats

NZ76561198034711441[U:1:74445713]Steam profile ↗✓ No bans

3,794Tracked matches72%Win rate2020Tracked since
5,241Hours in CS
CSDB Rating7.9 StrongSupport
Premier CS Rating31,776Gold band · top ~0.6% of ranked players (population est.)
FaceitLevel 10 · 2,500 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGC1arenceFACEITLevel 10 · 2,500 ELOSTANDINGTop 12.4% of rankedPREMIER31,776 · Gold bandcsdb.gg/stats

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Performance scores

Aim88
Positioning64
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY75–21–4Last 10075%Win rateLWWLWWLTWL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −0.0pp headshot accuracy · +57ms 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 572ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 538ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 510ms

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 (+1.6 against its own average).

Aim8.8
Utility6.5
Positioning6.4
Opening Duels3.4
Clutch3.4

Sharp aimerStrong T-side opener

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

sh1ro

Plays most like sh1ro 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 67% on T to 34% on CT — first contacts on the defending side are being lost.

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

Aim8.8
Positioning6.4
Utility6.5
Mechanics7.3
Opening Duels5.2
Win Impact10.0

Composite 7.9/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.09
first ⅓ avg 0.12 → last ⅓ avg 0.02
Reaction time521ms−37ms
first ⅓ avg 557ms → last ⅓ avg 521ms
Headshot accuracy23.4%+0.7%
first ⅓ avg 22.7% → last ⅓ avg 23.4%

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

0.58Best match rating · 9–0 · nuke, 13 Sept →
71%Best headshot accuracy · 9–0 · nuke, 13 Sept →
344msFastest reaction time · 13–11 · ancient, 25 Oct →
13–0Biggest win · nuke, 25 Aug →

Across the last 100 tracked matches.

Highlights

18Longest win streak
5–1In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 90% over 10cacheWeakest map · 56% over 9
MapGradePlayedRecordWin rateAvg rating
infernoS2219–386%0.15
mirageS2114–767%0.01
dust2S1310–377%0.04
nukeS1210–283%0.09
anubisS109–190%0.02
cacheA95–456%0.04
ancientA85–363%0.02
vertigo—31–233%0.13
train—11–0100%0.03
debris—11–0100%0.15

Across the last 100 tracked matches.

Lifetime stats

242,869Lifetime kills
1.09K/D
7,384Matches
47.5%Match win rate
52.2%Headshot %
14.2%Shot accuracy
29,814MVPs
5,241Hours (in match)
6,307Bombs planted
4,584Bombs defused

Most-used weapons

AK-47109,497
AWP29,348
SSG 082,837
MP92,427
Knife2,201

Lifetime map wins

13,595dust2
8,834inferno
4,296nuke
3,273vertigo
3,099train
344cbble
224lake
206office

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

Faceit stats

Combat

1,497Matches
50%Win rate
1.13Avg K/D
80.1ADR
45%Headshot %

Clutches & streaks

37%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage24652%1.1216.1
Anubis24154%1.2317.5
Ancient21249%1.0815.7
Dust210049%1.0415.2
Inferno7138%0.9814.5
Nuke5944%1.0916.4
Vertigo5446%1.1117.0
Overpass3962%1.3117.8

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.

24.1%Headshot accuracy
40.1%Accuracy (enemy spotted)
37.2%Spray accuracy
82.9%Counter-strafing
9.8°Preaim
511msReaction time
67.3%T opening success
34.2%CT opening success
0.62Enemies flashed / flash
15.7%Flash assists
8.84HE damage / grenade
11.52Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.1687% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
anubis9–13-0.0729%11 Nov →
nuke13–50.1518%11 Nov →
anubis13–10-0.0210%11 Nov →
ancient7–130.0119%10 Nov →
dust213–60.0416%10 Nov →
inferno13–90.0619%9 Nov →
cache8–130.0544%4 Nov →
nuke12–12-0.0133%4 Nov →
anubis13–60.0119%3 Nov →
cache6–130.0129%1 Nov →
nuke13–5-0.0819%1 Nov →
anubis13–50.0314%1 Nov →
ancient13–110.0446%25 Oct →
ancient8–130.0329%18 Oct →
inferno4–9-0.0015%13 Oct →
ancient13–11-0.0120%13 Oct →
mirage6–13-0.0320%13 Oct →
mirage13–60.0028%12 Oct →
dust213–110.1025%11 Oct →
train13–20.0320%10 Oct →
ancient8–130.0215%6 Oct →
dust213–50.0120%6 Oct →
inferno13–70.0724%6 Oct →
nuke13–40.0616%5 Oct →
dust26–130.0439%5 Oct →
dust213–110.0013%4 Oct →
cache16–120.0322%29 Sept →
dust213–2-0.0237%29 Sept →
dust213–50.1123%28 Sept →
nuke13–40.0231%28 Sept →
anubis13–60.0127%28 Sept →
ancient13–30.0621%28 Sept →
ancient13–60.0112%19 Sept →
anubis13–40.0519%17 Sept →
cache3–00.0738%17 Sept →
anubis13–100.1331%17 Sept →
mirage13–70.0118%15 Sept →
nuke13–10-0.0217%13 Sept →
nuke9–00.5839%13 Sept →
nuke9–00.1771%13 Sept →
inferno9–10.1725%13 Sept →
mirage13–10-0.0311%12 Sept →
anubis13–90.0221%12 Sept →
vertigo9–130.1032%8 Sept →
nuke12–120.0826%8 Sept →
inferno13–1-0.0229%7 Sept →
dust24–13-0.0219%7 Sept →
inferno9–30.1132%7 Sept →
anubis13–110.0117%7 Sept →
ancient13–8-0.0018%7 Sept →
mirage13–60.0115%6 Sept →
mirage13–7-0.0914%4 Sept →
mirage13–8-0.0113%4 Sept →
mirage4–13-0.0011%3 Sept →
mirage9–130.0611%3 Sept →
mirage13–8-0.0431%1 Sept →
cache13–80.1127%29 Aug →
mirage13–20.0419%29 Aug →
mirage2–4-0.0210%26 Aug →
inferno13–10.0936%26 Aug →
dust213–50.0318%26 Aug →
cache10–13-0.0219%26 Aug →
mirage13–80.0913%25 Aug →
mirage13–80.0919%25 Aug →
anubis13–30.0331%25 Aug →
cache13–10.0027%25 Aug →
nuke13–00.1121%25 Aug →
mirage7–4-0.0310%24 Aug →
mirage16–120.0614%24 Aug →
dust213–90.0129%23 Aug →
inferno9–30.078%19 Aug →
inferno9–10.1930%19 Aug →
inferno9–00.3824%19 Aug →
mirage6–130.0428%19 Aug →
dust213–80.0424%18 Aug →
inferno8–80.2020%17 Aug →
mirage13–20.1319%17 Aug →
inferno9–10.2752%17 Aug →
inferno9–20.2119%17 Aug →
cache6–10.1532%17 Aug →
inferno9–20.1527%15 Aug →
inferno9–20.159%15 Aug →
inferno9–20.0421%15 Aug →
inferno9–40.2014%15 Aug →
nuke9–60.0924%15 Aug →
inferno9–20.4621%10 Aug →
mirage3–13-0.0815%10 Aug →
dust213–50.0218%10 Aug →
mirage13–40.0620%10 Aug →
nuke13–9-0.049%9 Aug →
dust28–130.1631%8 Aug →
vertigo9–130.0221%8 Aug →
inferno9–40.0813%6 Aug →
inferno9–20.1935%6 Aug →
inferno8–80.1023%6 Aug →
cache8–13-0.0523%6 Aug →
vertigo9–00.2720%6 Aug →
debris9–30.1525%6 Aug →
inferno9–20.2141%4 Aug →
mirage4–13-0.0330%4 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches18-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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