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YA MATA SULA

YA MATA SULA — CS2 Stats

76561198114045669[U:1:153779941]Steam profile ↗✓ No bans

196Tracked matches28%Win rate2020Tracked since
CSDB Rating2.4 LearningSupport
CSDB Leaderboard#140028 of 222564 tracked
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 56 days played since 22 Feb 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 13,481 +1,520 22 Feb – 6 Jul · 36 days played
11,58714,243peak 14,24322 Feb6 Jul
14,252Peak Premier in tracked matches
56Days played since 2026-02-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Performance scores

Aim35
Positioning31
Utility38

0–100 skill scores via Leetify.

Recent form

COLD34–64–2Last 10034%Win rateLWLWLLLLLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +1.7pp headshot accuracy · −45ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 10%
  • Avg reaction 503ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 9%
  • Avg reaction 490ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 8%
  • Avg reaction 513ms

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 (+2.1 against its own average).

Aim3.5
Utility3.8
Positioning3.1
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

NiKo

Plays most like NiKo 74% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Counter-strafing. Only 54% 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

Aim3.5
Positioning3.1
Utility3.8
Mechanics1.0
Opening Duels0.0
Win Impact0.0

Composite 2.4/10 (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-0.06−0.02
first ⅓ avg -0.04 → last ⅓ avg -0.06
Reaction time519ms−138ms
first ⅓ avg 657ms → last ⅓ avg 519ms
Headshot accuracy7.5%−3.1%
first ⅓ avg 10.6% → last ⅓ avg 7.5%

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

0.05Best match rating · 13–7 · anubis, 20 Jun →
29%Best headshot accuracy · 5–13 · dust2, 29 May →
336msFastest reaction time · 5–9 · inferno, 11 Aug →
13–3Biggest win · cache, 12 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–4In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 50% over 14anubisWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
mirageC238–1535%-0.06
dust2D155–1033%-0.05
infernoD154–1127%-0.03
cacheB147–750%-0.02
anubisD132–1115%-0.04
ancientC94–544%-0.04
overpassD72–529%-0.05
nuke—32–167%-0.06
alpine—10–10%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8Matches
25%Win rate
0.65Avg K/D
76.5ADR
32%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage333%0.9921.0
Dust2250%0.528.5
Vertigo10%0.5310.0
Anubis10%0.193.0
Nuke10%0.477.0

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.

7.9%Headshot accuracy
31.1%Accuracy (enemy spotted)
39.8%Spray accuracy
54.4%Counter-strafing
11.1°Preaim
520msReaction time
22.0%T opening success
18.3%CT opening success
0.39Enemies flashed / flash
1.5%Flash assists
7.56HE damage / grenade
4.24Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 7.863% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3907 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 21.991% — below the 40% mark we flag

Spend your practice time on Anubis

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis9–13-0.0710%17 Sept →
dust216–13-0.099%17 Sept →
cache8–13-0.1311%16 Sept →
cache13–60.0212%14 Sept →
mirage9–13-0.067%5 Sept →
dust214–16-0.0611%5 Sept →
ancient3–13-0.0712%26 Aug →
ancient7–13-0.067%13 Aug →
mirage9–13-0.055%13 Aug →
inferno7–13-0.096%12 Aug →
inferno5–9-0.129%11 Aug →
nuke13–11-0.041%11 Aug →
mirage8–13-0.047%10 Aug →
inferno10–13-0.054%9 Aug →
mirage8–13-0.058%4 Aug →
nuke13–6-0.085%31 Jul →
cache13–80.0012%25 Jul →
ancient10–13-0.088%9 Jul →
inferno4–13-0.054%6 Jul →
overpass7–13-0.0814%6 Jul →
overpass7–13-0.054%1 Jul →
overpass11–13-0.0219%28 Jun →
mirage13–6-0.058%28 Jun →
anubis5–13-0.065%28 Jun →
inferno11–13-0.0810%26 Jun →
dust213–60.058%25 Jun →
mirage4–13-0.093%25 Jun →
anubis1–13-0.090%24 Jun →
mirage13–10-0.049%24 Jun →
overpass15–15-0.085%24 Jun →
anubis6–13-0.0110%24 Jun →
mirage2–13-0.073%22 Jun →
inferno13–40.005%22 Jun →
anubis10–13-0.025%21 Jun →
anubis13–70.058%20 Jun →
anubis1–13-0.103%18 Jun →
dust29–13-0.0812%17 Jun →
inferno10–130.0311%17 Jun →
dust216–14-0.0811%14 Jun →
inferno10–13-0.077%14 Jun →
mirage10–13-0.069%12 Jun →
mirage5–13-0.089%12 Jun →
anubis4–13-0.0211%12 Jun →
mirage8–00.0425%6 Jun →
ancient13–60.0214%6 Jun →
ancient13–11-0.040%6 Jun →
mirage13–5-0.0813%4 Jun →
inferno13–6-0.025%4 Jun →
ancient4–130.0111%31 May →
inferno13–16-0.049%31 May →
mirage16–12-0.0613%30 May →
anubis9–13-0.0111%30 May →
inferno10–130.0314%30 May →
overpass10–13-0.017%29 May →
anubis7–13-0.116%29 May →
cache6–13-0.028%29 May →
dust25–13-0.0829%29 May →
anubis16–14-0.016%23 May →
inferno15–15-0.034%23 May →
mirage13–8-0.044%23 May →
dust28–13-0.0712%21 May →
inferno8–13-0.077%17 May →
cache8–130.015%17 May →
alpine6–13-0.028%17 May →
dust213–7-0.038%17 May →
mirage8–13-0.107%15 May →
ancient13–8-0.082%15 May →
mirage9–13-0.095%15 May →
cache13–60.0015%15 May →
mirage13–11-0.0110%13 May →
cache13–3-0.088%12 May →
cache13–30.017%3 May →
cache8–130.0315%3 May →
cache10–130.0114%2 May →
cache5–13-0.039%1 May →
cache13–50.055%1 May →
cache13–11-0.079%1 May →
cache9–13-0.047%1 May →
mirage16–13-0.0111%26 Apr →
dust24–13-0.0813%22 Apr →
mirage6–13-0.0710%17 Apr →
ancient4–130.004%17 Apr →
mirage2–8-0.129%15 Apr →
dust25–13-0.0512%15 Apr →
dust27–13-0.0213%14 Apr →
overpass13–10-0.0213%10 Apr →
inferno13–70.009%10 Apr →
mirage7–13-0.1123%10 Apr →
ancient13–6-0.077%10 Apr →
dust27–13-0.0320%8 Apr →
overpass13–9-0.0810%7 Apr →
anubis11–13-0.016%3 Apr →
dust21–13-0.1012%3 Apr →
mirage2–13-0.122%2 Apr →
nuke10–13-0.089%29 Mar →
mirage7–13-0.0615%27 Mar →
inferno13–50.038%27 Mar →
dust213–10-0.0220%25 Mar →
dust22–13-0.0917%6 Mar →
anubis3–13-0.047%22 Feb →

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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