Barzda

Barzda — CS2 Stats

CL76561199580930005[U:1:1620664277]Steam profile ↗✓ No bans

797Tracked matches52%Win rate2023Tracked since
841Hours in CS
CSDB Rating5.2 DevelopingHybrid Rifler
Premier CS Rating20,531Pink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#5791 of 13813 tracked
FaceitLevel 8 · 1,386 ELOTop 31.2% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

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CSDB.GGBarzdaFACEITLevel 8 · 1,386 ELOSTANDINGTop 31.2% of rankedPREMIER20,531 · Pink bandcsdb.gg/stats

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Performance scores

Aim68
Positioning55
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY44506Last 10044%Win rateTLLWTWWLLW

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.8
Aggression5.3
Utility5.0
Positioning5.5
Opening Duels1.9
Clutch3.6

Strong CT-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.

Your pro match

NiKo

Plays most like NiKo 90% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Areas to improve

T-side openings. Opening success drops from 47% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 64% 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

Aim6.8
Positioning5.5
Utility5.0
Mechanics3.2
Opening Duels2.1
Win Impact5.6

Composite 5.2/10 (Developing), 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 rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time507ms−65ms
first ⅓ avg 572ms → last ⅓ avg 507ms
Headshot accuracy24.0%−2.8%
first ⅓ avg 26.8% → last ⅓ avg 24.0%

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.

Highlights

0.16Best rating — dust2 13–0
130Biggest win — mirage
4Longest win streak
56In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 55% over 11mirageWeakest map · 38% over 24
MapGradePlayedRecordWin rateAvg rating
dust2B24111346%0.02
mirageC2491538%0.01
ancientB1991047%-0.00
anubisC125742%-0.01
nukeA116555%-0.01
infernoB63350%-0.03
cache41325%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,839Lifetime kills
1.14K/D · Top 50% of Pink band
1,898Matches
50.1%Match win rate · Top 25% of Pink band
63.7%Headshot % · Top 10% of Pink band
0.0%Shot accuracy
5,725MVPs
841Hours (in match)
1,499Bombs planted
522Bombs defused

Most-used weapons

Lifetime map wins

2,614dust2
2,484nuke
1,629inferno
1,155vertigo
101train
44office
9italy
1ar_baggage

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

Faceit stats

Combat

872Matches
50%Win rate
1.11Avg K/D
83.0ADR
59%Headshot %

Clutches & streaks

38%1v1 clutch win
27%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage30554%1.1717.4
Ancient14246%1.0816.8
Anubis13550%1.0715.7
Dust213248%1.0916.9
Inferno7553%1.1616.9
Nuke3526%1.0417.3
Vertigo3450%1.0716.3
Overpass1331%0.9414.7

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.

24.3%Headshot accuracy
30.6%Accuracy (enemy spotted)
34.3%Spray accuracy
64.4%Counter-strafing
9.1°Preaim
503msReaction time
28.0%T opening success
47.0%CT opening success
0.59Enemies flashed / flash
2.7%Flash assists
3.18HE damage / grenade
11.97Flashes / 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 28.0413% — 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.

38% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis12–120.0625%27 Aug
dust28–130.0127%25 Aug
dust23–13-0.0124%25 Aug
ancient13–3-0.0433%25 Aug
dust215–15-0.0327%25 Aug
mirage13–90.0720%25 Aug
ancient13–10.0724%24 Aug
mirage8–130.0122%24 Aug
mirage13–16-0.0025%24 Aug
mirage13–90.1030%24 Aug
anubis13–6-0.0123%24 Aug
ancient13–20.0127%24 Aug
dust211–130.0125%24 Aug
dust25–13-0.079%22 Aug
dust213–50.0149%22 Aug
dust210–130.0619%22 Aug
mirage13–00.0416%22 Aug
inferno10–13-0.0328%22 Aug
anubis16–130.0327%22 Aug
cache7–13-0.0812%22 Aug
dust22–13-0.0224%22 Aug
mirage13–9-0.0217%21 Aug
inferno13–20.0138%20 Aug
mirage13–30.1235%20 Aug
dust211–130.0116%20 Aug
anubis15–15-0.0120%19 Aug
ancient13–60.0323%19 Aug
ancient1–13-0.0422%19 Aug
cache8–130.0119%18 Aug
ancient13–11-0.0023%18 Aug
inferno9–13-0.0128%18 Aug
ancient7–13-0.0318%18 Aug
ancient0–13-0.0117%18 Aug
mirage8–13-0.0120%18 Aug
dust28–130.0425%18 Aug
ancient10–130.0126%18 Aug
ancient7–130.0126%17 Aug
cache13–40.0513%17 Aug
mirage5–130.0540%17 Aug
nuke13–8-0.0333%17 Aug
nuke2–60.0437%17 Aug
dust213–90.0533%17 Aug
mirage5–13-0.0324%17 Aug
anubis9–13-0.0325%17 Aug
dust213–60.0227%17 Aug
mirage13–4-0.0124%16 Aug
mirage13–11-0.0622%16 Aug
mirage2–6-0.0320%16 Aug
nuke13–10-0.0129%16 Aug
dust213–20.0531%16 Aug
anubis13–3-0.0633%16 Aug
mirage13–6-0.0120%16 Aug
mirage10–13-0.0410%15 Aug
nuke13–10-0.0019%15 Aug
dust213–9-0.0016%15 Aug
dust24–13-0.0328%15 Aug
dust28–130.0120%15 Aug
inferno16–14-0.0314%15 Aug
ancient16–14-0.0127%14 Aug
ancient6–13-0.0622%12 Aug
cache14–16-0.0122%12 Aug
mirage3–130.0123%12 Aug
dust213–80.0130%11 Aug
mirage5–13-0.0129%11 Aug
ancient6–130.0826%10 Aug
inferno9–13-0.0731%10 Aug
mirage11–13-0.0337%10 Aug
dust213–00.1640%9 Aug
inferno9–3-0.0627%9 Aug
nuke5–9-0.1215%9 Aug
nuke9–50.0332%9 Aug
nuke8–8-0.1227%9 Aug
mirage9–130.0633%9 Aug
anubis13–30.0521%8 Aug
dust213–60.0329%27 Jul
dust213–50.1229%26 Jul
nuke11–130.0229%3 Apr
ancient13–90.0323%3 Apr
ancient10–130.0130%3 Apr
dust215–150.0828%3 Apr
anubis7–13-0.0428%3 Apr
nuke4–130.0015%27 Mar
nuke9–40.1338%23 Mar
ancient4–13-0.0835%22 Mar
mirage13–10.0224%22 Mar
anubis16–19-0.0727%20 Mar
nuke13–2-0.0135%14 Mar
ancient8–13-0.0417%14 Mar
dust213–10-0.0026%14 Mar
mirage15–15-0.0427%14 Mar
anubis14–16-0.0313%13 Mar
anubis6–13-0.0331%12 Mar
mirage7–13-0.0721%11 Mar
mirage5–100.0123%10 Mar
anubis13–100.0126%10 Mar
dust213–16-0.0126%10 Mar
ancient16–120.0128%7 Mar
ancient16–14-0.0419%5 Mar
mirage10–130.0325%5 Mar
dust213–60.0338%4 Mar

Match data via Leetify.

Milestones

500 Matches
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