Bara

Bara — CS2 Stats

BR76561198347530458[U:1:387264730]Steam profile ↗✓ No bans

246Tracked matches46%Win rate2020Tracked since
CSDB Rating6.3 SolidAll-Rounder
Ladder ranks via Leetify

Performance scores

Aim82
Positioning61
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY46–46–8Last 10046%Win rateLLLWLWTWLW

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −0.5pp headshot accuracy · −93ms 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 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 541ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 550ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 597ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.2
Utility4.5
Positioning6.1
Opening Duels5.6

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

m0NESY

Plays most like m0NESY 95% 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

Areas to improve

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

T-side openings. Opening success drops from 58% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 610ms 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

Aim8.2
Positioning6.1
Utility4.5
Mechanics7.5
Opening Duels4.5
Win Impact3.8

Composite 6.3/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time609ms−40ms
first ⅓ avg 649ms → last ⅓ avg 609ms
Headshot accuracy23.2%−0.6%
first ⅓ avg 23.8% → last ⅓ avg 23.2%

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

0.23Best match rating · 13–2 · vertigo, 6 Jun →
49%Best headshot accuracy · 8–13 · nuke, 5 Jul →
391msFastest reaction time · 7–13 · ancient, 21 Aug →
13–1Biggest win · ancient, 31 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
4–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

vertigoBest map · 60% over 5mirageWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B168–850%0.01
mirageD154–1127%0.01
nukeB147–750%0.03
infernoA127–558%0.02
cacheD93–633%0.00
ancientC83–538%0.04
overpassD72–529%0.02
vertigoA53–260%0.06
anubis—31–233%0.00
warden—32–167%0.04
train—22–0100%0.01
shelter—10–10%-0.04
fachwerk—11–0100%0.03
boulder—10–10%0.03
stronghold—11–0100%-0.05
alpine—11–0100%-0.07
italy—11–0100%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

23.1%Headshot accuracy
36.4%Accuracy (enemy spotted)
39.5%Spray accuracy
83.7%Counter-strafing
9.0°Preaim
610msReaction time
38.1%T opening success
57.8%CT opening success
0.43Enemies flashed / flash
5.4%Flash assists
8.89HE damage / grenade
5.45Flashes / 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 0.4336 — 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 38.1308% — below the 40% mark we flag

Spend your practice time on Mirage

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–130.0329%22 Aug →
ancient7–13-0.0119%21 Aug →
shelter10–13-0.0421%19 Jul →
nuke13–60.1021%19 Jul →
overpass6–130.0725%19 Jul →
vertigo13–60.0428%19 Jul →
cache12–120.0213%18 Jul →
dust213–9-0.0021%18 Jul →
mirage9–130.0724%17 Jul →
inferno13–90.0634%17 Jul →
dust213–100.0726%15 Jul →
train13–60.0224%15 Jul →
mirage9–130.1018%13 Jul →
fachwerk13–60.0326%10 Jul →
overpass13–110.0522%10 Jul →
boulder10–130.0327%10 Jul →
vertigo13–20.0127%9 Jul →
inferno11–13-0.0129%9 Jul →
overpass8–13-0.0229%8 Jul →
inferno13–110.0612%7 Jul →
dust213–50.0322%7 Jul →
mirage9–13-0.026%7 Jul →
vertigo7–130.0218%6 Jul →
cache9–3-0.0229%6 Jul →
anubis12–120.0316%6 Jul →
dust29–13-0.0623%5 Jul →
nuke8–130.0149%5 Jul →
inferno13–7-0.0511%27 Jun →
mirage7–13-0.0326%27 Jun →
nuke7–13-0.0222%27 Jun →
cache13–4-0.0519%27 Jun →
ancient13–30.1518%24 Jun →
nuke13–90.0931%24 Jun →
inferno13–7-0.0216%24 Jun →
dust212–120.0122%24 Jun →
mirage12–120.0419%21 Jun →
dust26–13-0.0421%8 Jun →
mirage10–13-0.0510%6 Jun →
vertigo13–20.2336%6 Jun →
inferno9–13-0.0216%6 Jun →
dust213–5-0.0518%6 Jun →
nuke16–120.0232%2 Jun →
dust213–50.0421%31 May →
ancient13–10.1615%31 May →
mirage5–13-0.0117%31 May →
mirage6–13-0.0816%30 May →
ancient11–13-0.0522%30 May →
inferno5–00.1344%24 May →
cache12–120.0219%24 May →
cache10–130.0923%23 May →
dust26–130.0117%23 May →
inferno9–130.0624%16 May →
cache5–13-0.0533%16 May →
overpass8–130.0323%9 May →
nuke13–60.0240%5 May →
cache13–40.0927%5 May →
cache11–130.0321%3 May →
cache0–7-0.090%3 May →
dust216–130.0622%25 Apr →
nuke13–70.0722%25 Apr →
overpass16–130.0323%25 Apr →
dust212–120.0220%19 Apr →
stronghold13–7-0.0512%3 Apr →
overpass8–13-0.0522%3 Apr →
vertigo11–13-0.0018%3 Apr →
anubis13–10-0.0615%3 Apr →
mirage16–130.0839%29 Mar →
nuke11–130.0425%29 Mar →
warden13–100.0116%25 Mar →
nuke3–13-0.0316%25 Mar →
overpass12–120.0222%21 Mar →
ancient8–13-0.0130%21 Mar →
dust24–130.0332%21 Mar →
dust26–130.0024%8 Mar →
nuke6–130.0029%4 Mar →
inferno5–13-0.0126%3 Mar →
ancient5–13-0.0323%28 Feb →
mirage7–13-0.0938%28 Feb →
mirage11–13-0.0122%25 Feb →
dust213–90.0327%25 Feb →
mirage8–00.0319%22 Feb →
nuke13–90.0640%22 Feb →
ancient13–90.0623%22 Feb →
dust213–10-0.0432%22 Feb →
inferno8–13-0.0722%17 Feb →
mirage13–7-0.0121%16 Feb →
dust28–13-0.0113%16 Feb →
inferno13–60.1018%16 Feb →
alpine13–11-0.0730%15 Feb →
warden13–10.1437%14 Feb →
italy13–60.078%12 Feb →
nuke6–13-0.0335%8 Feb →
warden3–13-0.0222%8 Feb →
anubis8–130.0419%25 Jan →
ancient12–120.0923%25 Jan →
train13–110.0127%25 Jan →
inferno13–90.0125%25 Jan →
nuke13–70.0017%20 Jan →
mirage13–80.0918%20 Jan →
mirage6–130.0110%18 Jan →

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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