kASTA

kASTA — CS2 Stats

SE76561198196619703[U:1:236353975]Steam profile ↗✓ No bans

2,702Tracked matches57%Win rate2020Tracked since
6,158Hours in CS2Hrs last 2 wks
CSDB Rating6.7 SolidSupport
Premier CS Rating20,000Top 50% of 210,832 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#83055 of 258188 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (10 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

Premier CS Rating: 20,000 +4,532 20 Aug – 18 Oct · 31 days played
15,46820,428peak 20,42820 Aug18 Oct
20,547Peak Premier in tracked matches
29Days played since 2026-08-20

Premier CS Rating

  • 428 below peak (20,428)
  • +1,472 over 30 days · improving
  • Next: Red band at 25,000 — 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate40.3%46.9%49.3%9.0% short
Shot accuracy11.5%13.0%13.4%1.8% short
Kill/death ratio0.891.081.120.24 short
Match win rate43.5%46.7%48.5%5.0% short

This profile sits below the typical Red band player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGkASTAPREMIER20,000 · Pink bandcsdb.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

Aim73
Positioning63
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateLLLLWWWWLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +0.4pp headshot accuracy · +30ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 572ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 598ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 583ms

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 (+1.8 against its own average).

Aim7.3
Utility6.7
Positioning6.3
Opening Duels2.7
Clutch3.8

Strong CT-side openerEffective flashes

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 80% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; 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

Reaction time. 585ms 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

Aim7.3
Positioning6.3
Utility6.7
Mechanics5.8
Opening Duels5.2
Win Impact7.2

Composite 6.7/10 (Solid), 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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time573ms−4ms
first ⅓ avg 578ms → last ⅓ avg 573ms
Headshot accuracy13.6%+0.3%
first ⅓ avg 13.3% → last ⅓ avg 13.6%

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

0.11Best match rating · 13–9 · nuke, 19 Sept →
36%Best headshot accuracy · 13–9 · dust2, 26 Sept →
406msFastest reaction time · 16–14 · anubis, 24 Sept →
13–1Biggest win · inferno, 26 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
6–13In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 69% over 26cacheWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
nukeS2618–869%0.02
infernoA1911–858%0.01
ancientA169–756%-0.01
dust2D155–1033%0.00
cacheD92–722%-0.01
anubisA85–363%0.01
mirageA74–357%0.00

Across the last 100 tracked matches.

Lifetime stats

95,176Lifetime kills
0.89K/D
5,545Matches
43.5%Match win rate
40.3%Headshot %
11.5%Shot accuracy
11,576MVPs
2,591Hours (in match)
9,015Bombs planted
1,468Bombs defused

Most-used weapons

AK-4732,608
AWP4,368
FAMAS2,659
MP92,250
MAC-102,152

Lifetime map wins

14,588inferno
12,661nuke
5,993dust2
2,757vertigo
1,416train
59cbble
16lake
15bank

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

Faceit stats

Combat

531Matches
49%Win rate
0.96Avg K/D
73.3ADR
40%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10751%0.9313.9
Inferno9848%0.9913.9
Dust27853%0.9614.3
Ancient7246%0.8913.4
Nuke6562%1.1417.0
Anubis5046%0.8313.2
Vertigo2241%0.9813.2
Cache1020%0.9814.6

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.

14.4%Headshot accuracy
38.6%Accuracy (enemy spotted)
42.7%Spray accuracy
76.0%Counter-strafing
9.4°Preaim
585msReaction time
49.5%T opening success
52.4%CT opening success
0.72Enemies flashed / flash
8.0%Flash assists
10.31HE damage / grenade
9.50Flashes / 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 14.364% — below the 15% mark we flag

    Aim Training →
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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0221%18 Oct →
nuke10–13-0.004%18 Oct →
inferno7–130.0510%12 Oct →
dust27–13-0.0410%1 Oct →
cache16–140.0120%1 Oct →
dust213–80.0222%1 Oct →
inferno13–10-0.0019%1 Oct →
inferno13–40.0711%30 Sept →
dust211–130.0424%30 Sept →
inferno5–13-0.096%28 Sept →
nuke16–140.0315%28 Sept →
ancient11–13-0.0211%27 Sept →
nuke7–13-0.036%27 Sept →
nuke13–8-0.0115%27 Sept →
cache13–160.0015%27 Sept →
dust25–13-0.0122%27 Sept →
inferno13–50.0711%27 Sept →
mirage13–100.0214%27 Sept →
ancient13–9-0.0817%27 Sept →
anubis9–13-0.0117%26 Sept →
anubis13–80.0116%26 Sept →
ancient13–60.016%26 Sept →
inferno16–130.0211%26 Sept →
dust29–13-0.038%26 Sept →
inferno13–10.0611%26 Sept →
nuke13–110.0419%26 Sept →
dust213–90.0136%26 Sept →
dust25–13-0.056%25 Sept →
dust213–8-0.035%25 Sept →
inferno13–10-0.0311%25 Sept →
ancient11–13-0.0413%25 Sept →
anubis16–140.027%24 Sept →
ancient10–130.068%24 Sept →
nuke13–40.0111%24 Sept →
anubis13–110.0410%22 Sept →
inferno10–130.0218%21 Sept →
nuke13–60.0112%21 Sept →
anubis15–15-0.045%21 Sept →
inferno13–60.0116%21 Sept →
nuke5–13-0.0014%21 Sept →
inferno10–130.0410%20 Sept →
cache11–13-0.0212%20 Sept →
cache8–130.0210%19 Sept →
nuke13–90.119%19 Sept →
nuke13–8-0.0113%19 Sept →
dust210–130.0118%17 Sept →
nuke13–30.0815%17 Sept →
ancient13–10-0.0211%17 Sept →
inferno13–70.0134%17 Sept →
nuke8–13-0.026%16 Sept →
mirage13–70.0016%16 Sept →
ancient13–6-0.0114%16 Sept →
mirage11–130.0112%16 Sept →
inferno11–13-0.0211%13 Sept →
dust215–150.0219%12 Sept →
nuke13–70.0412%12 Sept →
ancient13–5-0.0217%12 Sept →
ancient16–13-0.0112%9 Sept →
mirage13–80.0313%9 Sept →
dust211–13-0.018%8 Sept →
ancient13–30.0713%8 Sept →
nuke11–13-0.036%6 Sept →
nuke13–10-0.0112%6 Sept →
ancient11–13-0.0516%2 Sept →
cache5–13-0.0611%2 Sept →
mirage11–13-0.0121%2 Sept →
nuke13–40.0712%2 Sept →
dust26–130.0618%30 Aug →
mirage13–100.0511%30 Aug →
nuke12–50.0219%30 Aug →
inferno13–50.0016%28 Aug →
ancient9–13-0.096%28 Aug →
mirage5–13-0.0816%28 Aug →
dust213–80.028%28 Aug →
ancient5–130.0415%26 Aug →
nuke13–90.0617%26 Aug →
inferno9–13-0.0110%26 Aug →
anubis16–13-0.0117%25 Aug →
nuke10–130.0517%25 Aug →
ancient9–13-0.017%24 Aug →
nuke13–100.048%23 Aug →
nuke8–13-0.0411%23 Aug →
ancient13–4-0.017%23 Aug →
inferno13–5-0.0112%23 Aug →
anubis9–130.0215%23 Aug →
cache13–100.0117%23 Aug →
nuke13–50.0020%23 Aug →
cache5–13-0.057%23 Aug →
ancient13–60.0426%23 Aug →
dust213–50.0111%23 Aug →
inferno4–13-0.0115%23 Aug →
nuke13–110.0213%22 Aug →
inferno5–130.0014%22 Aug →
cache7–130.0513%22 Aug →
inferno13–7-0.024%22 Aug →
nuke13–50.0218%22 Aug →
nuke13–60.0414%22 Aug →
dust211–13-0.0310%22 Aug →
nuke11–130.0110%20 Aug →
anubis13–100.0517%20 Aug →

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.