tOP KEk

tOP KEk — CS2 Stats

TG76561198212767609[U:1:252501881]Steam profile ↗✓ No bans

337Tracked matches48%Win rate2020Tracked since
998Hours in CS1Hrs last 2 wks
CSDB Rating5.9 SolidSupport
Premier CS Rating19,639Top 50% of 215,386 CSDB-tracked playersPurple band · top ~9.9% of ranked players (population est.)
CSDB Leaderboard#92003 of 261572 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 19,639 → 19,639
+2Tracked matches · now 337
−5.7ppWin rate · 53.8% → 48.1%

Rating over time

Premier CS Rating: 19,639 -396 25 Jul – 27 Oct · 22 days played
19,63922,024peak 22,02425 Jul27 Oct
22,209Peak Premier in tracked matches
35Days played since 2026-07-25

Premier CS Rating

  • 2,385 below peak (22,024)
  • -130 over 30 days · steady
  • -1,171 over 90 days
  • Next: Pink band at 20,000 — 361 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-13
  • Purple band first seen 2026-09-13

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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate51.9%44.8%45.7%above
Shot accuracy17.9%12.4%12.7%above
Kill/death ratio1.141.031.05above
Match win rate48.0%45.2%45.7%above

Across every metric we can compare, this profile already matches the typical Level 7 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGtOP KEkFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER19,639 · Purple 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

Aim75
Positioning49
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY51–40–9Last 10051%Win rateLLWWLWLWTT

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −3.4pp headshot accuracy · −31ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 534ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 530ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 545ms

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 (+1.3 against its own average).

Aim7.5
Utility5.5
Positioning4.9
Opening Duels2.2

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

Twistzz

Plays most like Twistzz 93% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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. 600ms 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

Aim7.5
Positioning4.9
Utility5.5
Mechanics7.7
Opening Duels2.7
Win Impact4.4

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-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time586ms−5ms
first ⅓ avg 591ms → last ⅓ avg 586ms
Headshot accuracy20.9%−10.2%
first ⅓ avg 31.1% → last ⅓ avg 20.9%

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

0.15Best match rating · 13–1 · dust2, 14 Aug →
86%Best headshot accuracy · 9–13 · office, 21 Aug →
406msFastest reaction time · 13–2 · cache, 16 Aug →
13–1Biggest win · dust2, 14 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
1–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

trainBest map · 80% over 5infernoWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
cacheA1811–761%0.01
infernoC166–1038%0.00
anubisB115–645%0.01
mirageA95–456%-0.02
ancientB84–450%0.02
boulderB84–450%0.01
dust2A74–357%-0.03
trainS54–180%0.00
fachwerkA53–260%0.03
overpass—42–250%-0.04
nuke—42–250%-0.00
vertigo—20–20%-0.00
italy—10–10%-0.07
office—10–10%-0.04
shelter—11–0100%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,222Lifetime kills
1.14K/D · Top 50% of Level 6 players
1,497Matches
48.0%Match win rate · Top 50% of Level 6 players
51.9%Headshot % · Top 25% of Level 6 players
17.9%Shot accuracy · Top 25% of Level 6 players
3,617MVPs
587Hours (in match)
1,141Bombs planted
315Bombs defused

Most-used weapons

Lifetime map wins

2,618inferno
1,248dust2
955train
632nuke
541cbble
99vertigo
72office
66bank

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

Faceit stats

Combat

113Matches
54%Win rate
1.17Avg K/D
—ADR
44%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLW

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.

21.8%Headshot accuracy
34.0%Accuracy (enemy spotted)
33.8%Spray accuracy
84.5%Counter-strafing
9.2°Preaim
600msReaction time
44.3%T opening success
37.6%CT opening success
0.65Enemies flashed / flash
5.8%Flash assists
13.66HE damage / grenade
5.37Flashes / 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 37.587% — below the 40% mark we flag

Spend your practice time on Inferno

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0513%1 Nov →
ancient5–13-0.0813%1 Nov →
train13–7-0.019%26 Oct →
mirage13–7-0.057%26 Oct →
vertigo11–13-0.0414%24 Oct →
overpass13–30.0137%24 Oct →
inferno9–130.0522%23 Oct →
cache13–70.0510%23 Oct →
inferno12–120.0527%22 Sept →
anubis12–120.0733%22 Sept →
train13–40.0421%21 Sept →
dust213–4-0.0738%21 Sept →
cache0–50.000%20 Sept →
cache5–13-0.1022%20 Sept →
boulder8–13-0.0711%20 Sept →
italy10–13-0.0721%18 Sept →
boulder13–90.0528%17 Sept →
cache13–70.0425%9 Sept →
mirage13–20.0132%9 Sept →
inferno13–10-0.0122%7 Sept →
fachwerk13–70.1022%7 Sept →
cache5–13-0.0623%7 Sept →
overpass11–13-0.0725%6 Sept →
ancient12–120.1125%6 Sept →
dust22–13-0.0328%6 Sept →
nuke13–8-0.0330%5 Sept →
train11–13-0.0324%31 Aug →
inferno6–13-0.0410%31 Aug →
anubis10–130.0123%30 Aug →
cache13–10-0.0122%30 Aug →
fachwerk12–120.0119%29 Aug →
ancient16–140.0221%29 Aug →
cache11–13-0.0315%28 Aug →
nuke13–4-0.0018%28 Aug →
mirage6–13-0.0123%28 Aug →
anubis8–130.0223%28 Aug →
inferno13–60.0150%28 Aug →
vertigo12–120.0415%27 Aug →
ancient13–6-0.0126%27 Aug →
boulder12–12-0.0522%26 Aug →
mirage13–90.0128%26 Aug →
anubis13–80.0118%24 Aug →
inferno12–120.0040%24 Aug →
ancient9–100.0240%24 Aug →
dust213–80.0017%23 Aug →
overpass13–2-0.0129%23 Aug →
mirage7–13-0.0624%23 Aug →
inferno11–20.0142%23 Aug →
boulder13–90.0419%23 Aug →
cache13–80.0720%22 Aug →
mirage13–5-0.0322%22 Aug →
fachwerk13–4-0.0117%21 Aug →
office9–13-0.0486%21 Aug →
ancient11–13-0.0019%21 Aug →
overpass4–13-0.0912%21 Aug →
cache13–30.0215%21 Aug →
anubis13–8-0.0332%21 Aug →
inferno5–13-0.0418%21 Aug →
cache13–20.0136%19 Aug →
train13–9-0.0335%19 Aug →
boulder13–50.1115%18 Aug →
dust21–4-0.0936%18 Aug →
fachwerk13–30.0121%18 Aug →
ancient13–30.1020%18 Aug →
mirage5–130.0028%18 Aug →
train13–30.0523%16 Aug →
anubis7–13-0.0121%16 Aug →
cache13–20.0421%16 Aug →
dust213–10.1530%14 Aug →
inferno13–70.0325%14 Aug →
nuke12–120.0531%10 Aug →
inferno13–100.0221%10 Aug →
mirage8–13-0.0715%9 Aug →
anubis13–40.0423%9 Aug →
inferno11–13-0.0429%9 Aug →
fachwerk10–130.0313%8 Aug →
dust213–9-0.0275%8 Aug →
shelter9–6-0.0153%8 Aug →
boulder13–90.0232%8 Aug →
cache13–8-0.0317%8 Aug →
cache13–7-0.0133%8 Aug →
boulder9–130.0142%7 Aug →
anubis4–130.0022%7 Aug →
inferno6–13-0.0230%7 Aug →
cache7–13-0.0136%7 Aug →
dust23–13-0.1338%7 Aug →
cache4–130.0428%3 Aug →
anubis13–30.0338%3 Aug →
cache15–150.0231%2 Aug →
mirage16–12-0.0123%2 Aug →
inferno13–30.0741%2 Aug →
ancient13–2-0.0226%26 Jul →
cache13–20.0634%26 Jul →
inferno6–130.0338%26 Jul →
inferno9–13-0.0422%26 Jul →
anubis16–130.0134%26 Jul →
boulder7–13-0.0530%26 Jul →
cache13–50.0925%26 Jul →
anubis9–13-0.0429%25 Jul →
nuke5–13-0.0242%25 Jul →

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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