KV

KV — CS2 Stats

MA76561198014386982[U:1:54121254]Steam profile ↗✓ No bans

652Tracked matches50%Win rate2020Tracked since
2,604Hours in CS
CSDB Rating6.6 SolidSupport
Premier CS Rating17,677Purple band · top ~17.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 652 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,677 +2,678 14 Dec – 20 Sept · 23 days played
14,89218,214peak 18,21414 Dec20 Sept
18,438Peak Premier in tracked matches
27Days played since 2023-12-02

Premier CS Rating

  • 537 below peak (18,214)
  • Next: Pink band at 20,000 — 2,323 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-04
  • Blue band first seen 2026-09-04

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

Compare periods

Last 30 days vs previous 30

No matches recorded between 10 Sep 2026 and 11 Oct 2026.

Measured 10 Sep 2026 → 11 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

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 rate48.4%44.3%46.9%above
Shot accuracy20.6%11.9%13.0%above
Kill/death ratio0.921.031.080.16 short
Match win rate44.4%45.2%46.7%2.3% short

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

Widest gap: Kill/death ratio. 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.GGKVPREMIER17,677 · Purple bandcsdb.gg/stats

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Performance scores

Aim71
Positioning61
Utility81

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateLWLWLLWWLW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · +3.2pp headshot accuracy · −48ms 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 -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 585ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 568ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 592ms

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 (+1.9 against its own average).

Aim7.1
Utility8.1
Positioning6.1
Opening Duels4.3

High utility contribution

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 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Strengths

Utility. Utility score of 81 — grenade impact well above the norm.

Areas to improve

Reaction time. 608ms 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

Aim7.1
Positioning6.1
Utility8.1
Mechanics8.4
Opening Duels2.9
Win Impact5.0

Composite 6.6/10 (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 rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time608ms−34ms
first ⅓ avg 642ms → last ⅓ avg 608ms
Headshot accuracy16.0%−3.1%
first ⅓ avg 19.2% → last ⅓ avg 16.0%

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

0.23Best match rating · 9–1 · mirage, 18 May →
43%Best headshot accuracy · 4–13 · ancient, 20 Dec →
438msFastest reaction time · 13–4 · overpass, 20 Dec →
13–4Biggest win · ancient, 10 Jul →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

mirageBest map · 64% over 14ancientWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB2211–1150%0.01
nukeB168–850%0.01
vertigoA1610–663%0.04
mirageA149–564%0.03
ancientC135–838%-0.02
anubisC104–640%0.02
dust2A53–260%0.02
overpass—43–175%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

89,891Lifetime kills
0.92K/D
2,508Matches
44.4%Match win rate
48.4%Headshot % · Top 50% of Purple band
20.6%Shot accuracy · Top 5% of Purple band
8,138MVPs
2,604Hours (in match)
2,143Bombs planted
607Bombs defused

Most-used weapons

AK-4739,362
AWP6,843
FAMAS1,967
AUG1,867
SG 5531,713
SSG 081,321

Lifetime map wins

4,735inferno
4,156dust2
2,160vertigo
801nuke
576train
132cbble
110lake
53office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.6%Headshot accuracy
35.8%Accuracy (enemy spotted)
42.4%Spray accuracy
87.6%Counter-strafing
11.5°Preaim
608msReaction time
43.5%T opening success
40.0%CT opening success
0.67Enemies flashed / flash
13.3%Flash assists
10.62HE damage / grenade
16.08Flashes / 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 39.955% — 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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.0121%12 Aug →
nuke13–100.0624%12 Aug →
ancient9–13-0.0714%29 Jul →
vertigo16–14-0.0120%29 Jul →
inferno10–130.0129%10 Jul →
nuke1–13-0.0510%10 Jul →
ancient13–4-0.026%10 Jul →
inferno13–100.0211%10 Jul →
dust26–13-0.0413%8 Jul →
anubis13–70.0414%8 Jul →
nuke13–10-0.0212%8 Jul →
inferno13–11-0.0321%8 Jul →
ancient6–13-0.0614%8 Jul →
mirage13–9-0.0114%7 Jul →
ancient13–100.017%7 Jul →
vertigo13–40.106%7 Jul →
inferno13–110.0314%7 Jul →
mirage3–13-0.0415%4 Jul →
nuke3–13-0.049%4 Jul →
ancient7–13-0.0216%4 Jul →
vertigo13–90.1020%4 Jul →
nuke13–16-0.0514%4 Jul →
inferno13–6-0.0111%4 Jul →
anubis13–160.0420%25 Jun →
nuke8–3-0.0728%25 Jun →
inferno7–13-0.039%25 Jun →
mirage4–13-0.0219%11 Jun →
anubis11–130.0716%11 Jun →
inferno13–90.1323%11 Jun →
inferno5–13-0.0511%30 May →
mirage13–11-0.0117%30 May →
inferno9–130.0129%30 May →
vertigo13–60.0821%30 May →
nuke13–80.0827%30 May →
dust213–8-0.0012%30 May →
inferno8–13-0.069%26 May →
mirage10–13-0.0211%26 May →
dust29–13-0.0012%26 May →
overpass13–10-0.0113%26 May →
nuke9–13-0.0416%26 May →
vertigo13–80.1321%25 May →
ancient13–6-0.0617%25 May →
vertigo3–9-0.1130%22 May →
vertigo13–100.0511%20 May →
mirage13–8-0.0510%20 May →
mirage13–8-0.045%18 May →
mirage9–10.2314%18 May →
vertigo7–13-0.037%18 May →
nuke3–13-0.1012%18 May →
ancient13–40.0721%18 May →
dust213–70.0314%18 May →
mirage11–130.0314%18 May →
inferno13–7-0.0221%18 May →
mirage7–130.0211%16 May →
inferno4–130.0215%16 May →
vertigo11–130.0721%16 May →
inferno13–80.0424%16 May →
dust213–100.1121%16 May →
nuke13–60.1316%16 May →
ancient10–130.0315%16 May →
anubis13–9-0.0212%16 May →
ancient4–13-0.0429%14 May →
inferno13–50.0221%14 May →
mirage13–9-0.0324%14 May →
nuke9–130.0421%14 May →
anubis13–70.0411%14 May →
inferno13–90.0626%14 May →
vertigo13–80.0223%14 May →
ancient9–13-0.0510%14 May →
vertigo9–100.0314%8 May →
anubis6–13-0.0116%6 May →
inferno15–15-0.0023%6 May →
inferno7–13-0.0228%20 Apr →
overpass1–00.000%20 Apr →
vertigo13–60.0718%20 Apr →
ancient8–130.0019%20 Apr →
mirage13–80.1130%21 Dec →
vertigo13–50.0724%20 Dec →
anubis15–150.0216%20 Dec →
overpass13–4-0.0111%20 Dec →
ancient4–13-0.0543%20 Dec →
inferno5–13-0.0315%20 Dec →
anubis9–13-0.0713%20 Dec →
inferno13–80.0022%20 Dec →
vertigo4–13-0.0923%18 Dec →
ancient16–12-0.0220%18 Dec →
inferno4–13-0.0440%18 Dec →
nuke13–80.0623%18 Dec →
nuke9–130.0010%16 Dec →
mirage13–100.1023%15 Dec →
nuke13–110.0212%14 Dec →
vertigo8–130.0222%3 Dec →
anubis13–90.1020%3 Dec →
nuke2–13-0.0521%3 Dec →
mirage13–60.0924%2 Dec →
inferno7–130.0822%2 Dec →
vertigo13–50.1513%2 Dec →
overpass4–130.0412%2 Dec →
nuke13–50.199%2 Dec →
inferno13–60.1713%2 Dec →

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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