KPL

KPL — CS2 Stats

DE76561197976685955[U:1:16420227]Steam profile ↗✓ No bans

1,112Tracked matches53%Win rate2025Tracked since
1,305Hours in CS53Hrs last 2 wks
CSDB Rating6.6 SolidSupport
Premier CS Rating16,758Purple band · top ~21.4% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Oct 2026 (12 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: 16,758 -1,893 20 Jul – 20 Oct · 20 days played
15,00019,314peak 19,31420 Jul20 Oct
19,601Peak Premier in tracked matches
45Days played since 2026-07-20

Premier CS Rating

  • 2,556 below peak (19,314)
  • +1,758 over 30 days · improving
  • -2,556 over 90 days
  • Next: Pink band at 20,000 — 3,242 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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate72.1%46.8%48.2%above
Shot accuracy0.0%13.0%13.2%13.2% short
Kill/death ratio3.151.061.07above
Match win rate34.9%46.3%46.9%12.1% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKPLFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER16,758 · 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

Aim79
Positioning55
Utility70

0–100 skill scores via Leetify.

Recent form

HOT53–47Last 10053%Win rateWLLLWWWWWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +2.6pp headshot accuracy · +23ms reaction

Win rate up 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 583ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 639ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 627ms

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 (+2.3 against its own average).

Aim7.9
Utility7.0
Positioning5.5
Opening Duels2.7
Clutch3.6

Effective 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 86% 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 603ms 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

Aim7.9
Positioning5.5
Utility7.0
Mechanics7.4
Opening Duels3.9
Win Impact6.1

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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time598ms−13ms
first ⅓ avg 610ms → last ⅓ avg 598ms
Headshot accuracy22.8%+1.5%
first ⅓ avg 21.3% → last ⅓ avg 22.8%

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

0.19Best match rating · 13–2 · inferno, 3 Sept →
39%Best headshot accuracy · 8–13 · nuke, 17 Aug →
406msFastest reaction time · 13–3 · dust2, 23 Sept →
13–1Biggest win · dust2, 23 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 83% over 6anubisWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
infernoA2112–957%0.04
dust2C197–1237%0.02
nukeA1811–761%0.02
ancientA148–657%0.01
anubisD133–1023%0.00
cacheS97–278%0.03
mirageS65–183%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

127,411Lifetime kills
3.15K/D · Top 1% of Level 8 players
1,741Matches
34.9%Match win rate
72.1%Headshot % · Top 1% of Level 8 players
0.0%Shot accuracy
2,689MVPs
853Hours (in match)
1,467Bombs planted
661Bombs defused

Most-used weapons

AK-4779,307
AWP10,250
FAMAS2,141
MP9573
HE Grenade378

Lifetime map wins

3,693dust2
3,167inferno
2,059nuke
196train
55vertigo
6ar_shoots
3ar_baggage

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

Faceit stats

Combat

233Matches
55%Win rate
1.21Avg K/D
78.4ADR
52%Headshot %

Clutches & streaks

38%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno5459%1.2215.8
Dust25254%1.3016.0
Anubis2959%1.2616.8
Ancient2945%1.3017.0
Nuke2552%1.0715.8
Mirage2454%0.9312.5
Cache1850%1.2014.0
Overpass2100%1.3611.5

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.

22.4%Headshot accuracy
36.9%Accuracy (enemy spotted)
38.6%Spray accuracy
83.5%Counter-strafing
10.0°Preaim
603msReaction time
48.6%T opening success
42.6%CT opening success
0.76Enemies flashed / flash
9.5%Flash assists
14.69HE damage / grenade
7.60Flashes / match

Recommended for you

Spend your practice time on Anubis

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–60.0432%31 Oct →
inferno12–160.0520%31 Oct →
inferno11–13-0.0133%30 Oct →
inferno9–13-0.0229%28 Oct →
nuke13–110.0119%27 Oct →
ancient22–190.0413%24 Oct →
cache13–40.0022%24 Oct →
cache13–110.0011%24 Oct →
inferno13–40.0730%24 Oct →
nuke13–9-0.0123%22 Oct →
anubis4–13-0.068%20 Oct →
inferno13–90.0726%19 Oct →
anubis14–160.0111%19 Oct →
inferno13–80.0620%18 Oct →
cache13–50.1017%17 Oct →
ancient13–60.0230%16 Oct →
dust29–13-0.0422%15 Oct →
dust29–130.0622%3 Oct →
ancient11–130.0324%2 Oct →
cache13–100.0625%2 Oct →
nuke13–70.0230%2 Oct →
anubis4–13-0.0020%2 Oct →
anubis11–130.0321%1 Oct →
ancient11–13-0.0723%1 Oct →
inferno13–80.1820%30 Sept →
dust28–13-0.0231%30 Sept →
inferno13–60.0018%24 Sept →
nuke11–13-0.0135%23 Sept →
dust213–30.1031%23 Sept →
dust29–130.0219%23 Sept →
inferno13–50.0016%23 Sept →
mirage13–60.0332%23 Sept →
nuke13–60.0220%23 Sept →
anubis13–110.0725%23 Sept →
nuke13–20.1815%23 Sept →
nuke13–40.1221%23 Sept →
dust213–30.0733%23 Sept →
nuke8–13-0.0324%22 Sept →
inferno11–130.0322%22 Sept →
inferno13–20.1927%3 Sept →
dust213–60.0231%1 Sept →
nuke16–13-0.0232%1 Sept →
dust213–160.0924%29 Aug →
inferno22–200.0227%28 Aug →
cache13–90.0421%28 Aug →
ancient13–70.0224%28 Aug →
cache13–40.1123%27 Aug →
ancient13–100.0219%26 Aug →
dust213–10.0117%23 Aug →
inferno7–130.0016%20 Aug →
inferno13–60.1011%18 Aug →
nuke8–13-0.0239%17 Aug →
mirage13–40.0225%17 Aug →
mirage13–90.0525%16 Aug →
anubis10–13-0.059%15 Aug →
anubis10–130.0123%13 Aug →
dust29–13-0.0439%11 Aug →
mirage13–3-0.0017%7 Aug →
cache2–13-0.0512%7 Aug →
nuke14–16-0.0135%7 Aug →
anubis4–130.0531%5 Aug →
anubis13–50.0516%5 Aug →
ancient7–13-0.0510%2 Aug →
anubis16–14-0.0323%2 Aug →
dust26–13-0.0416%2 Aug →
inferno8–130.0322%1 Aug →
inferno5–130.0124%1 Aug →
dust22–13-0.0521%1 Aug →
nuke13–30.0619%1 Aug →
inferno13–100.1127%1 Aug →
ancient8–130.0323%1 Aug →
ancient7–13-0.0616%30 Jul →
nuke7–13-0.0421%30 Jul →
dust210–13-0.0132%30 Jul →
nuke13–4-0.0221%30 Jul →
nuke13–20.1425%30 Jul →
ancient13–90.1116%29 Jul →
ancient13–70.0114%29 Jul →
dust213–10.1323%27 Jul →
mirage3–130.0223%27 Jul →
anubis3–13-0.0526%27 Jul →
nuke10–13-0.0014%27 Jul →
dust25–13-0.0224%26 Jul →
nuke11–13-0.0323%26 Jul →
anubis8–13-0.0723%26 Jul →
inferno13–7-0.0320%26 Jul →
ancient13–40.0517%23 Jul →
dust23–13-0.0627%23 Jul →
dust213–100.0216%23 Jul →
ancient5–13-0.1013%23 Jul →
inferno4–13-0.0619%23 Jul →
dust213–11-0.0227%22 Jul →
ancient13–100.0721%22 Jul →
cache13–90.0422%22 Jul →
dust26–130.0622%21 Jul →
anubis10–130.0818%21 Jul →
inferno10–13-0.0124%21 Jul →
nuke13–70.0524%21 Jul →
inferno13–10-0.0123%21 Jul →
cache8–13-0.0319%20 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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