clara

clara — CS2 Stats

76561198199546631[U:1:239280903]Steam profile ↗✓ No bans

206Tracked matches38%Win rate2022Tracked since
1,928Hours in CS39Hrs last 2 wks
CSDB Rating1.9 LearningPositional Player
WingmanSilver I
Ladder ranks via Leetify

Performance scores

Aim14
Positioning37
Utility7

0–100 skill scores via Leetify.

Recent form

COLD32–56–12Last 10032%Win rateLWLLLWLWLL

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −5.7pp headshot accuracy · +96ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 17%
  • Avg reaction 845ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 23%
  • Avg reaction 836ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 26%
  • Avg reaction 788ms

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 (+2.6 against its own average).

Aim1.4
Utility0.7
Positioning3.7
Opening Duels0.0
Clutch0.0

Limited 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

donk

Plays most like donk 72% 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. 768ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim1.4
Positioning3.7
Utility0.7
Mechanics3.2
Opening Duels0.1
Win Impact1.0

Composite 1.9/10 (Learning), 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 rating-0.06−0.00
first ⅓ avg -0.05 → last ⅓ avg -0.06
Reaction time759ms+105ms
first ⅓ avg 655ms → last ⅓ avg 759ms
Headshot accuracy24.5%+7.1%
first ⅓ avg 17.3% → last ⅓ avg 24.5%

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

0.12Best match rating · 13–4 · nuke, 12 Oct →
67%Best headshot accuracy · 2–13 · dust2, 12 Oct →
445msFastest reaction time · 8–8 · vertigo, 2 Sept →
13–1Biggest win · ancient, 29 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–7In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 80% over 5dust2Weakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
nukeC176–1135%-0.06
vertigoC145–936%-0.07
infernoD133–1023%-0.09
anubisC104–640%-0.05
mirageD93–633%-0.06
cacheD92–722%-0.07
officeD92–722%-0.05
dust2D60–60%-0.04
ancientS54–180%-0.03
train—31–233%-0.03
poseidon—21–150%-0.04
rush_001—21–150%-0.03
debris—10–10%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,320Lifetime kills
2.01K/D · Top 1% of tracked players
418Matches
23.7%Match win rate
17.4%Headshot %
3.5%Shot accuracy
374MVPs
134Hours (in match)
243Bombs planted
110Bombs defused

Most-used weapons

Lifetime map wins

478nuke
359dust2
353inferno
290vertigo
232office
204train
116italy
100aztec

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

Faceit stats

Combat

2Matches
50%Win rate
0.50Avg K/D
50.4ADR
60%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1100%0.539.0
Anubis10%0.478.0

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.

19.6%Headshot accuracy
26.2%Accuracy (enemy spotted)
24.5%Spray accuracy
64.5%Counter-strafing
13.7°Preaim
768msReaction time
30.6%T opening success
26.2%CT opening success
0.15Enemies flashed / flash
0.7%Flash assists
2.79HE damage / grenade
1.98Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.6709° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 767.6465ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.1476 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.1111%13 Oct →
anubis13–9-0.0324%13 Oct →
cache8–13-0.1217%13 Oct →
anubis5–13-0.0723%13 Oct →
mirage6–13-0.0513%13 Oct →
mirage13–8-0.0426%12 Oct →
dust22–130.0167%12 Oct →
ancient9–5-0.1023%12 Oct →
vertigo6–13-0.078%12 Oct →
poseidon1–9-0.1422%12 Oct →
nuke2–9-0.1927%12 Oct →
poseidon9–50.0530%12 Oct →
dust25–13-0.0643%12 Oct →
nuke13–40.1219%12 Oct →
mirage10–13-0.0722%11 Oct →
vertigo3–9-0.1538%11 Oct →
office2–20.0233%10 Oct →
nuke13–10-0.0119%10 Oct →
inferno9–50.0338%10 Oct →
cache11–13-0.0321%9 Oct →
nuke5–9-0.1831%9 Oct →
office8–13-0.0917%9 Oct →
train13–5-0.0421%8 Oct →
rush_0016–8-0.0925%8 Oct →
rush_0016–20.0343%8 Oct →
cache9–13-0.0617%8 Oct →
train7–13-0.0911%7 Oct →
vertigo13–60.0125%5 Oct →
ancient13–5-0.0222%4 Oct →
inferno0–9-0.289%2 Oct →
ancient13–20.0018%1 Oct →
dust22–13-0.0518%30 Sept →
inferno9–1-0.0225%29 Sept →
anubis4–13-0.0911%29 Sept →
ancient13–10.0118%29 Sept →
vertigo12–3-0.0213%28 Sept →
anubis12–12-0.0414%27 Sept →
anubis9–13-0.0915%26 Sept →
vertigo5–13-0.0611%26 Sept →
cache8–13-0.0919%26 Sept →
dust212–12-0.119%26 Sept →
vertigo10–13-0.1024%26 Sept →
vertigo7–13-0.0727%25 Sept →
cache10–13-0.0032%25 Sept →
vertigo13–3-0.0320%23 Sept →
vertigo0–13-0.0920%23 Sept →
inferno12–12-0.0523%22 Sept →
inferno8–8-0.197%21 Sept →
vertigo9–7-0.0527%21 Sept →
mirage13–11-0.0423%20 Sept →
anubis12–12-0.0814%19 Sept →
mirage6–13-0.0622%19 Sept →
ancient10–13-0.0717%19 Sept →
nuke5–13-0.0123%19 Sept →
debris4–9-0.0846%18 Sept →
nuke0–9-0.2511%18 Sept →
nuke5–9-0.1016%18 Sept →
inferno3–9-0.1528%18 Sept →
cache13–11-0.1019%18 Sept →
nuke7–4-0.0010%18 Sept →
anubis13–8-0.0225%17 Sept →
anubis13–40.0213%17 Sept →
anubis9–13-0.0216%15 Sept →
dust26–130.0121%15 Sept →
mirage12–12-0.0211%15 Sept →
vertigo13–10-0.0816%15 Sept →
nuke8–8-0.1314%15 Sept →
inferno11–13-0.0314%14 Sept →
vertigo11–13-0.0616%13 Sept →
cache7–13-0.1019%13 Sept →
mirage13–10-0.0619%13 Sept →
inferno9–30.0227%12 Sept →
inferno2–9-0.1129%12 Sept →
vertigo8–8-0.1121%11 Sept →
nuke9–30.0722%11 Sept →
nuke5–9-0.0510%11 Sept →
inferno2–9-0.1525%11 Sept →
inferno7–9-0.100%11 Sept →
office13–11-0.0229%9 Sept →
office3–11-0.0622%8 Sept →
cache7–0-0.0313%8 Sept →
nuke6–9-0.138%7 Sept →
inferno7–90.046%7 Sept →
nuke9–5-0.0820%7 Sept →
nuke8–8-0.0615%7 Sept →
train12–120.0322%6 Sept →
office12–12-0.0415%5 Sept →
dust23–13-0.0521%5 Sept →
nuke9–20.1013%5 Sept →
inferno3–9-0.1513%5 Sept →
mirage10–13-0.0715%3 Sept →
cache10–13-0.0615%3 Sept →
nuke7–13-0.0521%3 Sept →
office3–13-0.0710%2 Sept →
office6–13-0.0810%2 Sept →
anubis13–11-0.0626%2 Sept →
nuke8–13-0.059%2 Sept →
office13–10-0.0522%2 Sept →
vertigo8–8-0.0924%2 Sept →
office3–7-0.0522%2 Sept →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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