malba

malba — CS2 Stats

HR76561198098100171[U:1:137834443]Steam profile ↗✓ No bans

1,163Tracked matches59%Win rate2020Tracked since
10,768Hours in CS
CSDB Rating6.3 SolidSupport
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGmalbaFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim76
Positioning56
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateWWLLWLLWWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +7.0pp headshot accuracy · +27ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 30%
  • Avg reaction 561ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 575ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 562ms

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 (+1.5 against its own average).

Aim7.6
Utility6.0
Positioning5.6
Opening Duels4.1
Clutch2.4

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

ZywOo

Plays most like ZywOo 93% 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

T-side openings. Opening success drops from 51% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim7.6
Positioning5.6
Utility6.0
Mechanics6.4
Opening Duels3.0
Win Impact7.9

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 rating0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time567ms−4ms
first ⅓ avg 571ms → last ⅓ avg 567ms
Headshot accuracy19.5%+2.2%
first ⅓ avg 17.4% → last ⅓ avg 19.5%

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

0.14Best match rating · 13–1 · ancient, 14 Apr →
50%Best headshot accuracy · 13–5 · dust2, 2 Nov →
391msFastest reaction time · 15–15 · inferno, 2 Apr →
13–1Biggest win · ancient, 14 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
11–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 61% over 23infernoWeakest map · 43% over 23
MapGradePlayedRecordWin rateAvg rating
mirageB2714–1352%0.01
infernoC2310–1343%-0.00
dust2A2314–961%-0.00
ancientB189–950%0.00
anubisB63–350%0.00
nuke—20–20%-0.04
overpass—10–10%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

160,777Lifetime kills
0.87K/D
5,905Matches
47.3%Match win rate
51.0%Headshot %
16.8%Shot accuracy
14,628MVPs
10,768Hours (in match)
9,844Bombs planted
2,015Bombs defused

Most-used weapons

AK-4765,031
AWP21,942
FAMAS4,427
MP91,533
Knife1,297

Lifetime map wins

14,901dust2
10,124inferno
1,447vertigo
1,251train
609nuke
517cbble
56safehouse
46assault

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

Faceit stats

Combat

1,227Matches
51%Win rate
1.04Avg K/D
73.0ADR
43%Headshot %

Clutches & streaks

32%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage18949%0.9914.5
Ancient8554%1.0615.2
Dust28452%1.0415.1
Anubis7654%0.9814.6
Inferno6148%0.9513.5
Vertigo1644%1.1114.6
Overpass1560%1.1315.7
Cache475%0.8915.0

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.

19.0%Headshot accuracy
34.8%Accuracy (enemy spotted)
36.3%Spray accuracy
78.7%Counter-strafing
7.8°Preaim
576msReaction time
32.5%T opening success
51.5%CT opening success
0.60Enemies flashed / flash
5.2%Flash assists
7.80HE damage / grenade
15.63Flashes / 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 32.4757% — below the 40% mark we flag

Spend your practice time on Inferno

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

43% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–40.0024%3 Nov →
dust213–50.0150%2 Nov →
inferno8–130.0337%25 Oct →
inferno12–16-0.0321%20 Jun →
mirage13–90.0419%20 Jun →
mirage11–130.0013%15 Jun →
ancient2–13-0.0322%15 Jun →
mirage13–4-0.0128%10 Jun →
dust213–11-0.0123%10 Jun →
ancient10–13-0.0214%3 Jun →
dust213–30.0021%3 Jun →
inferno2–13-0.0016%1 Jun →
anubis13–40.1024%30 May →
ancient13–110.0232%30 May →
inferno16–14-0.044%27 May →
mirage7–130.0317%26 May →
dust215–150.0618%25 May →
inferno13–60.0417%25 May →
mirage5–13-0.1021%24 May →
ancient13–30.0411%24 May →
mirage13–110.0235%24 May →
anubis10–130.0314%22 May →
mirage13–110.0519%18 May →
dust29–13-0.0512%18 May →
dust213–16-0.0116%17 May →
mirage13–70.056%17 May →
mirage9–13-0.019%16 May →
dust213–30.0320%16 May →
mirage13–11-0.048%13 May →
dust213–5-0.0018%13 May →
nuke10–13-0.0614%11 May →
mirage15–150.0324%10 May →
inferno6–130.0121%10 May →
ancient13–5-0.0118%10 May →
dust23–13-0.0129%10 May →
dust22–13-0.025%7 May →
inferno13–9-0.0716%7 May →
ancient9–13-0.0119%6 May →
mirage11–130.0317%6 May →
inferno0–5-0.0850%6 May →
ancient13–9-0.0718%6 May →
mirage13–110.0622%5 May →
dust216–12-0.0336%5 May →
inferno13–80.0514%3 May →
dust211–13-0.0214%3 May →
ancient13–100.0126%3 May →
dust216–14-0.0016%3 May →
mirage13–9-0.0214%3 May →
mirage13–30.046%3 May →
overpass10–130.0330%3 May →
dust213–11-0.0216%2 May →
mirage13–8-0.0116%2 May →
ancient13–70.0218%29 Apr →
inferno11–130.0318%29 Apr →
mirage11–130.0118%29 Apr →
inferno13–100.0126%29 Apr →
ancient10–130.0413%27 Apr →
dust215–150.0016%27 Apr →
inferno13–5-0.0319%26 Apr →
ancient9–130.0518%26 Apr →
mirage11–13-0.0318%25 Apr →
dust213–100.0629%25 Apr →
inferno13–16-0.0310%25 Apr →
dust213–30.1015%21 Apr →
ancient13–6-0.0120%21 Apr →
nuke6–13-0.0111%21 Apr →
inferno14–160.0717%20 Apr →
mirage4–130.0032%19 Apr →
anubis2–13-0.1031%19 Apr →
dust213–40.0315%14 Apr →
ancient13–10.1414%14 Apr →
anubis8–130.0419%9 Apr →
dust213–40.0414%9 Apr →
mirage5–13-0.0219%9 Apr →
mirage1–13-0.076%7 Apr →
inferno14–16-0.0515%4 Apr →
inferno16–14-0.057%3 Apr →
dust22–13-0.0612%3 Apr →
inferno13–80.0524%2 Apr →
inferno15–15-0.0211%2 Apr →
mirage13–60.0417%2 Apr →
dust213–7-0.0030%4 Feb →
inferno8–130.0313%4 Feb →
ancient11–13-0.0314%3 Feb →
dust20–13-0.1021%2 Feb →
inferno11–130.0323%2 Feb →
mirage10–13-0.0220%31 Jan →
anubis13–100.0111%31 Jan →
mirage13–60.0321%31 Jan →
inferno13–30.048%30 Jan →
mirage13–110.0426%30 Jan →
mirage13–3-0.0420%29 Jan →
ancient10–13-0.0314%28 Jan →
ancient13–80.0213%28 Jan →
inferno7–13-0.0112%26 Jan →
mirage8–130.0337%25 Jan →
anubis13–9-0.065%24 Jan →
ancient6–13-0.0316%23 Jan →
ancient7–13-0.0721%22 Jan →
dust213–10-0.0510%22 Jan →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.