Kaa-

Kaa- — CS2 Stats

SE76561198019502510[U:1:59236782]Steam profile ↗✓ No bans

2,179Tracked matches48%Win rate2021Tracked since
2,123Hours in CS
CSDB Rating4.2 DevelopingSupport
Premier CS Rating19,376Top 50% of 204,793 CSDB-tracked playersPurple band · top ~11% of ranked players (population est.)
CSDB Leaderboard#91422 of 252071 tracked
FaceitLevel 7 · 1,666 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Aug 2026 (69 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

19,591Peak Premier in tracked matches
1,666Highest Faceit ELO seen on CSDB
43Days played since 2026-07-18

Faceit ELO

  • At peak — 1,666
  • Next: Level 9 at 1,751 — 85 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • At peak — 19,376
  • Next: Pink band at 20,000 — 624 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,138), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate60.9%45.7%46.8%above
Shot accuracy6.7%12.7%13.0%6.3% short
Kill/death ratio0.931.051.060.14 short
Match win rate42.5%45.7%46.3%3.8% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKaa-FACEITLevel 7 · 1,666 ELOSTANDINGTop 42.3% of rankedPREMIER19,376 · Purple bandPEAK ELO1,666csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim40
Positioning52
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateWWLLLLWWWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +3.2pp headshot accuracy · +9ms reaction

Win rate 0pp 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 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 649ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 606ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 601ms

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 (+1.4 against its own average).

Aim4.0
Utility5.5
Positioning5.2
Opening Duels1.6
Clutch4.0

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 68% 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

Reaction time. 616ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim4.0
Positioning5.2
Utility5.5
Mechanics3.1
Opening Duels2.1
Win Impact4.4

Composite 4.2/10 (Developing), 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 time613ms−10ms
first ⅓ avg 624ms → last ⅓ avg 613ms
Headshot accuracy22.0%−0.7%
first ⅓ avg 22.6% → last ⅓ avg 22.0%

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.

Personal bests

0.18Best match rating · 13–9 · dust2, 23 Jul →
42%Best headshot accuracy · 13–5 · cache, 29 Jul →
422msFastest reaction time · 9–13 · ancient, 18 Aug →
13–1Biggest win · anubis, 23 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
7–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 71% over 17cacheWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
ancientC219–1243%0.00
dust2B1910–953%0.04
anubisS1712–571%0.03
cacheC135–838%0.00
infernoA138–562%0.01
nukeC94–544%0.01
vertigoA53–260%-0.02
mirage—31–233%0.01

Across the last 100 tracked matches.

Lifetime stats

147,038Lifetime kills
0.93K/D
4,356Matches
42.5%Match win rate
60.9%Headshot % · Top 10% of Level 7 players
6.7%Shot accuracy
9,009MVPs
2,123Hours (in match)
4,322Bombs planted
857Bombs defused

Most-used weapons

Lifetime map wins

7,797inferno
6,660dust2
4,159nuke
1,792vertigo
1,213train
198cbble
1aztec
1safehouse

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

Faceit stats

Combat

1,076Matches
51%Win rate
1.13Avg K/D
81.1ADR
54%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient19348%1.1315.7
Inferno18755%1.1115.7
Dust215548%1.0715.0
Nuke15249%1.0216.1
Anubis10453%1.1416.6
Mirage6434%0.9414.1
Cache4648%0.9615.0
Vertigo4151%1.1414.9

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.

21.2%Headshot accuracy
27.8%Accuracy (enemy spotted)
28.3%Spray accuracy
63.8%Counter-strafing
10.1°Preaim
616msReaction time
41.4%T opening success
35.2%CT opening success
0.63Enemies flashed / flash
7.7%Flash assists
7.96HE damage / grenade
5.76Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.2014% — below the 40% mark we flag

Spend your practice time on Cache

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 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–9-0.0034%22 Sept →
anubis9–20.0219%20 Sept →
dust211–13-0.0120%17 Sept →
cache11–130.0019%16 Sept →
ancient4–13-0.0024%16 Sept →
ancient16–190.0024%15 Sept →
inferno13–40.0533%14 Sept →
cache8–10.0235%14 Sept →
anubis13–30.1317%13 Sept →
anubis13–9-0.0413%11 Sept →
dust213–60.1022%9 Sept →
dust213–20.0830%7 Sept →
nuke11–130.0118%5 Sept →
cache13–80.0122%5 Sept →
ancient13–110.0512%5 Sept →
nuke8–13-0.0820%4 Sept →
ancient12–120.0424%4 Sept →
inferno13–50.1123%3 Sept →
anubis16–130.0113%3 Sept →
dust26–130.0223%3 Sept →
nuke13–7-0.0120%1 Sept →
dust28–13-0.0518%1 Sept →
dust27–13-0.0117%1 Sept →
mirage10–130.0122%31 Aug →
ancient9–13-0.1019%30 Aug →
cache13–16-0.0120%30 Aug →
cache10–13-0.0224%29 Aug →
inferno8–13-0.0117%27 Aug →
vertigo7–13-0.0124%26 Aug →
ancient13–50.1526%26 Aug →
vertigo8–13-0.0429%23 Aug →
anubis13–10.1717%23 Aug →
cache13–90.1229%23 Aug →
inferno9–13-0.0215%23 Aug →
vertigo13–11-0.0225%23 Aug →
nuke15–19-0.0414%23 Aug →
dust29–130.0327%23 Aug →
vertigo13–110.0126%22 Aug →
cache7–13-0.0429%22 Aug →
cache19–170.0930%21 Aug →
nuke13–60.0123%21 Aug →
dust213–100.0326%21 Aug →
ancient13–7-0.0126%21 Aug →
vertigo19–15-0.0213%19 Aug →
ancient13–40.0520%19 Aug →
dust213–60.0325%19 Aug →
inferno8–130.0226%18 Aug →
ancient9–13-0.0021%18 Aug →
anubis13–50.0416%18 Aug →
dust213–50.0124%18 Aug →
inferno13–50.0428%18 Aug →
ancient7–13-0.0028%18 Aug →
anubis13–20.0918%18 Aug →
ancient13–70.0517%18 Aug →
ancient4–13-0.1230%18 Aug →
ancient8–13-0.0612%17 Aug →
cache6–13-0.0526%12 Aug →
ancient13–100.0527%12 Aug →
anubis13–110.0424%11 Aug →
ancient6–13-0.0733%10 Aug →
dust213–90.0524%10 Aug →
cache2–130.0329%7 Aug →
dust211–130.0025%7 Aug →
nuke10–20.1124%7 Aug →
anubis8–130.0224%5 Aug →
inferno13–90.0516%5 Aug →
anubis13–30.0930%5 Aug →
cache2–13-0.0635%5 Aug →
nuke9–130.0621%5 Aug →
inferno16–14-0.0518%5 Aug →
anubis5–13-0.039%5 Aug →
dust212–12-0.0122%3 Aug →
ancient8–13-0.0517%2 Aug →
ancient13–30.0733%1 Aug →
inferno13–40.0324%1 Aug →
inferno13–90.0836%1 Aug →
anubis13–100.0522%1 Aug →
inferno13–10-0.0020%31 Jul →
ancient13–20.007%31 Jul →
anubis5–13-0.0222%31 Jul →
anubis4–13-0.0715%31 Jul →
cache13–5-0.0242%29 Jul →
nuke13–80.0315%29 Jul →
dust213–40.0829%29 Jul →
mirage13–100.0415%29 Jul →
dust213–30.1320%28 Jul →
anubis12–12-0.0421%27 Jul →
ancient4–13-0.0140%27 Jul →
inferno10–13-0.0219%26 Jul →
anubis13–9-0.0520%26 Jul →
ancient11–13-0.0535%24 Jul →
anubis13–110.0517%24 Jul →
dust213–90.1822%23 Jul →
dust212–120.0315%21 Jul →
dust21–130.0030%20 Jul →
cache12–160.0023%20 Jul →
inferno8–13-0.1114%18 Jul →
mirage13–16-0.0319%18 Jul →
nuke2–13-0.0029%18 Jul →
ancient13–90.0322%18 Jul →

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 →

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