cara

cara — CS2 Stats

76561198013539895[U:1:53274167]Steam profile ↗✓ No bans

286Tracked matches48%Win rate2020Tracked since
CSDB Rating6.1 SolidPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 19,649 -3,953 17 Jun – 18 Jan · 12 days played
19,64924,967peak 24,96717 Jun18 Jan
24,967Peak Premier in tracked matches
1,542Highest Faceit ELO seen on CSDB
43Days played since 2025-05-08

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

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CSDB.GGcaraPEAK ELO1,542csdb.gg/stats

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Performance scores

Aim84
Positioning54
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY65–28–7Last 10065%Win rateWLLLLWWWLW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −1.0pp headshot accuracy · −37ms 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 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 624ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 610ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 629ms

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 (+2.3 against its own average).

Aim8.4
Utility3.8
Positioning5.4
Opening Duels0.6
Clutch2.6

Excellent counter-strafing

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

ropz

Plays most like ropz 86% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower 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

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 621ms 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

Aim8.4
Positioning5.4
Utility3.8
Mechanics9.3
Opening Duels1.2
Win Impact4.4

Composite 6.1/10 (Solid), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time623ms+15ms
first ⅓ avg 608ms → last ⅓ avg 623ms
Headshot accuracy26.7%−1.3%
first ⅓ avg 28.0% → last ⅓ avg 26.7%

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

0.11Best match rating · 13–10 · dust2, 11 Jun →
55%Best headshot accuracy · 13–2 · mirage, 1 Oct →
391msFastest reaction time · 13–1 · inferno, 6 Aug →
13–0Biggest win · overpass, 10 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 80% over 5dust2Weakest map · 54% over 26
MapGradePlayedRecordWin rateAvg rating
dust2B2614–1254%0.01
mirageS2315–865%0.01
nukeS1712–571%-0.00
ancientS1510–567%0.01
infernoS75–271%0.01
overpassS54–180%0.03
train—43–175%0.01
cache—21–150%0.04
anubis—11–0100%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (54% over 26). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

769Matches
67%Win rate
1.47Avg K/D
66.7ADR
52%Headshot %

Clutches & streaks

33%1v1 clutch win
23%1v2 clutch win
15Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Cache3100%1.6720.0
Dust2367%0.8113.0
Mirage10%0.479.0
Overpass10%0.6710.0
Inferno1100%0.678.0
Nuke1100%0.9314.0

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.

27.1%Headshot accuracy
33.3%Accuracy (enemy spotted)
35.0%Spray accuracy
91.7%Counter-strafing
8.8°Preaim
621msReaction time
28.9%T opening success
39.6%CT opening success
0.55Enemies flashed / flash
3.1%Flash assists
9.75HE damage / grenade
6.55Flashes / 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

    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 28.9473% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
mirage13–50.1023%29 Sept →
ancient14–160.0837%16 Sept →
nuke7–13-0.0524%12 Sept →
mirage9–130.0026%12 Sept →
cache5–130.0217%10 Sept →
mirage13–80.1030%10 Sept →
nuke13–100.0018%10 May →
cache16–140.0730%4 May →
dust27–13-0.0220%4 May →
mirage13–8-0.0329%23 Mar →
dust213–60.0123%25 Jan →
nuke13–9-0.0229%18 Jan →
mirage11–13-0.0518%18 Jan →
mirage6–13-0.0542%18 Jan →
dust27–130.0429%17 Jan →
overpass11–130.0320%24 Dec →
inferno14–160.0136%24 Dec →
ancient6–130.0118%24 Dec →
mirage13–8-0.0221%26 Nov →
dust213–11-0.0127%26 Nov →
ancient4–13-0.0924%26 Nov →
nuke15–150.0321%22 Oct →
mirage9–13-0.0522%22 Oct →
overpass13–40.0315%1 Oct →
nuke13–9-0.0231%1 Oct →
mirage13–20.0655%1 Oct →
dust27–13-0.0223%1 Oct →
mirage3–13-0.0626%16 Aug →
ancient13–70.0627%16 Aug →
inferno13–9-0.0052%16 Aug →
dust212–160.0118%16 Aug →
nuke13–7-0.0326%16 Aug →
dust213–90.0124%13 Aug →
nuke11–13-0.0116%13 Aug →
dust29–13-0.0635%12 Aug →
mirage16–14-0.0117%12 Aug →
nuke13–60.0730%11 Aug →
ancient15–15-0.0221%11 Aug →
dust23–00.0133%11 Aug →
ancient13–7-0.0111%10 Aug →
dust215–15-0.0320%10 Aug →
train13–110.0525%10 Aug →
inferno7–00.0213%8 Aug →
ancient13–6-0.059%8 Aug →
dust213–11-0.0124%8 Aug →
dust213–70.0933%8 Aug →
ancient13–10-0.0224%6 Aug →
dust215–15-0.0337%6 Aug →
train13–90.0224%6 Aug →
inferno13–10.0040%6 Aug →
nuke13–110.0223%4 Aug →
dust28–130.0127%30 Jul →
mirage7–13-0.0116%30 Jul →
dust211–130.0635%30 Jul →
ancient13–60.0217%26 Jul →
train13–6-0.0115%26 Jul →
dust23–13-0.0315%22 Jul →
nuke13–100.0733%22 Jul →
mirage13–9-0.0222%22 Jul →
dust22–13-0.0038%18 Jul →
overpass13–40.0633%18 Jul →
dust213–60.0338%18 Jul →
mirage10–130.0241%17 Jul →
nuke13–100.0427%8 Jul →
ancient13–90.0116%1 Jul →
nuke13–3-0.0026%24 Jun →
ancient13–60.0940%22 Jun →
mirage13–80.0327%22 Jun →
ancient15–15-0.0025%19 Jun →
mirage13–110.0529%17 Jun →
dust213–20.0350%17 Jun →
ancient13–20.0948%11 Jun →
dust213–100.1131%11 Jun →
train7–13-0.0226%11 Jun →
nuke13–5-0.0612%11 Jun →
nuke11–13-0.0615%2 Jun →
mirage13–60.0332%26 May →
dust213–90.0723%26 May →
nuke7–13-0.0513%23 May →
dust213–8-0.0325%23 May →
dust213–11-0.0723%23 May →
mirage13–5-0.0121%20 May →
mirage13–8-0.0020%18 May →
inferno9–13-0.0522%18 May →
overpass13–30.0215%17 May →
mirage13–60.0236%17 May →
dust213–11-0.0227%17 May →
overpass13–00.0321%10 May →
mirage13–20.0431%10 May →
ancient13–40.0142%10 May →
dust213–50.0128%10 May →
mirage12–12-0.0322%10 May →
inferno13–50.0631%10 May →
mirage13–70.0820%9 May →
nuke13–20.0440%9 May →
dust212–120.0637%9 May →
inferno13–60.0427%9 May →
anubis13–10-0.0136%9 May →
ancient13–30.0543%9 May →
nuke13–60.0329%8 May →

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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