X A T A R

X A T A R — CS2 Stats

DE76561198986054158[U:1:1025788430]Steam profile ↗✓ No bans

612Tracked matches55%Win rate2025Tracked since
922Hours in CS24Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating19,999Top 50% of 212,379 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#85219 of 259284 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

−384Premier CS Rating · 20,383 → 19,999

Rating over time

Premier CS Rating: 19,999 +499 10 Aug – 1 Nov · 39 days played
17,75121,352peak 21,35210 Aug1 Nov
22,311Peak Premier in tracked matches
41Days played since 2026-08-10

Premier CS Rating

  • 1,353 below peak (21,352)
  • -1,353 over 30 days · declining
  • +499 over 90 days
  • Next: Pink band at 20,000 — 1 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-20
  • Purple band first seen 2026-09-01

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate41.0%44.4%46.9%6.0% short
Shot accuracy0.0%11.9%13.0%13.0% short
Kill/death ratio1.171.031.08above
Match win rate49.0%45.2%46.7%above

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGX A T A RPREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim68
Positioning58
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateWWLWLWLLLL

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · −2.9pp headshot accuracy · +34ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 572ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 584ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 567ms

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: Positional Player — Positioning stands above the rest of this profile (+2.1 against its own average).

Aim6.8
Utility5.5
Positioning5.8
Opening Duels2.7
Clutch1.0

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 87% 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

CT openings. Opening success drops from 58% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 577ms 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

Aim6.8
Positioning5.8
Utility5.5
Mechanics5.2
Opening Duels4.2
Win Impact6.7

Composite 5.9/10 (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 rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time536ms−51ms
first ⅓ avg 586ms → last ⅓ avg 536ms
Headshot accuracy13.5%+1.0%
first ⅓ avg 12.5% → last ⅓ avg 13.5%

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

0.36Best match rating · 9–2 · inferno, 25 Aug →
31%Best headshot accuracy · 4–12 · dust2, 13 Sept →
414msFastest reaction time · 13–9 · nuke, 22 Oct →
13–0Biggest win · dust2, 27 Aug →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
1–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 71% over 17ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B3014–1647%0.01
nukeS1712–571%0.01
infernoC166–1038%0.03
mirageB105–550%-0.01
ancientD91–811%-0.03
cacheA85–363%0.02
anubisD72–529%-0.01
office—21–150%0.05
train—11–0100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,060Lifetime kills
1.17K/D · Top 25% of Purple band
1,330Matches
49.0%Match win rate · Top 25% of Purple band
41.0%Headshot %
0.0%Shot accuracy
3,153MVPs
495Hours (in match)
1,377Bombs planted
275Bombs defused

Most-used weapons

Lifetime map wins

3,880dust2
2,099inferno
1,924nuke
397train
300office
178vertigo
41italy
7ar_shoots

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

Faceit stats

Combat

22Matches
41%Win rate
1.12Avg K/D
85.4ADR
44%Headshot %

Clutches & streaks

25%1v1 clutch win
23%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust2944%1.2616.8
Nuke560%1.4419.0
Cache333%0.7613.0
Inferno30%0.8116.7
Mirage10%0.6710.0
Vertigo1100%0.7110.0

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.

14.4%Headshot accuracy
37.0%Accuracy (enemy spotted)
41.6%Spray accuracy
73.3%Counter-strafing
9.8°Preaim
577msReaction time
58.3%T opening success
35.0%CT opening success
0.65Enemies flashed / flash
11.0%Flash assists
10.57HE damage / grenade
3.83Flashes / 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 14.3614% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8299 — below the 4 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 34.9873% — below the 40% mark we flag

Spend your practice time on Ancient

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–40.048%1 Nov →
nuke13–100.0019%1 Nov →
nuke7–13-0.029%1 Nov →
dust213–70.0110%1 Nov →
anubis7–13-0.036%28 Oct →
dust213–70.0112%27 Oct →
ancient11–13-0.0016%25 Oct →
mirage11–13-0.0511%25 Oct →
dust27–13-0.0418%25 Oct →
ancient11–13-0.049%25 Oct →
inferno11–13-0.0220%25 Oct →
nuke13–70.0514%25 Oct →
mirage16–14-0.0114%25 Oct →
inferno11–130.0419%24 Oct →
mirage13–40.1114%24 Oct →
nuke13–9-0.0213%22 Oct →
cache13–50.0220%22 Oct →
nuke13–7-0.059%21 Oct →
cache13–90.0415%20 Oct →
office13–90.0612%17 Oct →
nuke13–7-0.0513%17 Oct →
ancient11–13-0.0119%17 Oct →
nuke13–100.1120%15 Oct →
dust213–100.0518%15 Oct →
nuke5–13-0.0619%15 Oct →
dust215–150.0013%12 Oct →
nuke13–60.0722%12 Oct →
inferno7–130.0915%12 Oct →
inferno8–130.0114%12 Oct →
mirage1–6-0.070%7 Oct →
ancient0–5-0.220%7 Oct →
dust25–13-0.0527%6 Oct →
cache9–130.000%6 Oct →
dust212–160.0118%6 Oct →
nuke8–13-0.0210%3 Oct →
anubis11–13-0.0424%2 Oct →
mirage13–6-0.0219%2 Oct →
dust213–100.0120%2 Oct →
dust213–90.0024%2 Oct →
dust23–110.0111%18 Sept →
mirage10–130.0115%16 Sept →
dust26–13-0.0415%16 Sept →
nuke13–100.019%13 Sept →
dust24–12-0.0531%13 Sept →
inferno11–13-0.0214%13 Sept →
nuke13–10.0215%13 Sept →
inferno15–15-0.0210%12 Sept →
inferno13–50.029%12 Sept →
nuke13–90.0416%12 Sept →
inferno13–10.1223%12 Sept →
dust213–50.0218%12 Sept →
dust213–30.1114%12 Sept →
nuke13–30.0517%12 Sept →
cache13–40.0829%12 Sept →
dust213–50.0611%12 Sept →
dust213–30.0414%12 Sept →
dust27–13-0.0312%11 Sept →
anubis13–70.0115%9 Sept →
cache12–160.0111%9 Sept →
dust28–130.0723%9 Sept →
anubis4–13-0.053%8 Sept →
inferno6–13-0.0217%8 Sept →
dust29–13-0.0717%8 Sept →
cache15–15-0.0410%7 Sept →
dust215–15-0.039%6 Sept →
inferno3–13-0.0421%6 Sept →
anubis4–130.0213%4 Sept →
ancient13–60.0823%4 Sept →
inferno13–100.019%3 Sept →
inferno12–16-0.046%2 Sept →
nuke12–16-0.017%29 Aug →
office2–130.0513%28 Aug →
ancient9–130.036%28 Aug →
dust213–60.0916%27 Aug →
dust213–00.0713%27 Aug →
cache13–100.0013%26 Aug →
inferno9–20.3618%25 Aug →
cache13–60.0410%21 Aug →
dust29–13-0.0211%19 Aug →
mirage4–13-0.046%19 Aug →
ancient5–13-0.0820%19 Aug →
inferno3–13-0.0514%19 Aug →
dust29–130.0418%19 Aug →
dust27–13-0.0818%17 Aug →
dust216–130.0113%17 Aug →
inferno13–50.0113%17 Aug →
nuke13–80.0118%17 Aug →
mirage2–130.0128%17 Aug →
nuke9–130.008%15 Aug →
inferno13–50.0415%15 Aug →
anubis8–130.0212%15 Aug →
dust28–130.048%15 Aug →
ancient6–13-0.0610%14 Aug →
ancient10–130.067%13 Aug →
train13–90.0114%12 Aug →
anubis13–90.0211%12 Aug →
dust26–13-0.0210%11 Aug →
mirage13–40.017%10 Aug →
dust213–10-0.0012%10 Aug →
mirage13–8-0.029%10 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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