Klaphat

Klaphat — CS2 Stats

DK76561198366153145[U:1:405887417]Steam profile ↗✓ No bans

1,409Tracked matches50%Win rate2020Tracked since
CSDB Rating6.1 SolidPositional Player
Premier CS Rating20,100Top 50% of 211,494 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)
CSDB Leaderboard#81725 of 258624 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (15 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: 20,100 -3,507 25 Mar – 14 Oct · 17 days played
19,07423,861peak 23,86125 Mar14 Oct
23,991Peak Premier in tracked matches
1,909Highest Faceit ELO seen on CSDB
62Days played since 2026-03-12

Faceit ELO

  • At peak — 1,909
  • Next: Level 10 at 2,001 — 92 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-01
  • Level 8 first seen 2026-09-01

Premier CS Rating

  • 3,761 below peak (23,861)
  • Next: Red band at 25,000 — 4,900 to go
  • Reached: Pink band · 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGKlaphatPREMIER20,100 · Pink bandPEAK ELO1,909csdb.gg/stats

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Performance scores

Aim76
Positioning55
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY35–61–4Last 10035%Win rateLLLWLWWLWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +6.1pp headshot accuracy · +14ms reaction

Win rate 0pp 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 0.05
  • Avg headshot accuracy 26%
  • Avg reaction 622ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 621ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 614ms

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 (+1.5 against its own average).

Aim7.6
Utility4.0
Positioning5.5
Opening Duels2.9
Clutch3.6

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

jL

Plays most like jL 100% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower positioning 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 638ms 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

Aim7.6
Positioning5.5
Utility4.0
Mechanics7.2
Opening Duels3.9
Win Impact5.0

Composite 6.1/10 (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 rating0.04+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time627ms−74ms
first ⅓ avg 701ms → last ⅓ avg 627ms
Headshot accuracy21.6%−0.6%
first ⅓ avg 22.2% → last ⅓ avg 21.6%

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

0.36Best match rating · 13–6 · dust2, 4 Oct →
39%Best headshot accuracy · 7–13 · mirage, 24 Jun →
453msFastest reaction time · 8–13 · inferno, 24 Aug →
13–1Biggest win · mirage, 5 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L3Current streak
4–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 50% over 8vertigoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeD217–1433%0.04
mirageD144–1029%0.03
infernoD133–1023%-0.00
dust2C125–742%0.03
ancientD93–633%0.01
overpassB84–450%0.06
cacheC73–443%-0.01
anubisB63–350%0.02
vertigoD51–420%0.03
train—31–233%0.01
boulder—10–10%-0.00
office—11–0100%0.08

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,154Matches
52%Win rate
1.10Avg K/D
82.0ADR
47%Headshot %

Clutches & streaks

38%1v1 clutch win
26%1v2 clutch win
18Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke14852%1.0516.5
Inferno13747%1.0616.4
Ancient13649%1.0617.2
Overpass8256%1.0716.6
Anubis7751%0.9816.1
Mirage7051%1.1316.9
Train5159%1.1518.4
Vertigo3161%1.2415.8

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.

21.7%Headshot accuracy
40.0%Accuracy (enemy spotted)
39.1%Spray accuracy
82.3%Counter-strafing
11.2°Preaim
638msReaction time
44.5%T opening success
46.9%CT opening success
0.44Enemies flashed / flash
10.2%Flash assists
8.88HE damage / grenade
3.26Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4409 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Vertigo

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0335%27 Oct →
nuke7–90.1320%27 Oct →
vertigo5–13-0.0217%26 Oct →
mirage13–60.0622%20 Oct →
mirage11–130.1135%15 Oct →
inferno13–90.0528%14 Oct →
dust213–2-0.0039%14 Oct →
inferno7–9-0.0721%14 Oct →
mirage13–8-0.0126%7 Oct →
mirage13–10.0918%5 Oct →
dust213–100.0826%5 Oct →
dust29–13-0.0714%5 Oct →
dust213–60.3620%4 Oct →
dust213–160.0811%1 Oct →
nuke4–130.0219%1 Oct →
dust22–00.0533%1 Oct →
inferno5–70.0020%30 Sept →
anubis13–110.0525%29 Sept →
nuke2–9-0.138%29 Sept →
ancient13–80.0324%28 Sept →
dust25–130.0725%23 Sept →
mirage9–50.0617%21 Sept →
nuke13–40.0419%14 Sept →
inferno8–130.0312%13 Sept →
boulder10–13-0.0016%12 Sept →
mirage6–130.0027%12 Sept →
mirage6–13-0.0313%11 Sept →
nuke9–13-0.0026%10 Sept →
nuke13–60.2523%10 Sept →
inferno12–60.0423%9 Sept →
ancient8–13-0.0113%9 Sept →
overpass7–90.0610%8 Sept →
vertigo13–50.1328%30 Aug →
overpass9–50.2019%27 Aug →
nuke6–130.0412%26 Aug →
nuke5–13-0.0517%25 Aug →
inferno8–130.0214%24 Aug →
inferno4–130.0317%23 Aug →
nuke9–13-0.0519%23 Aug →
nuke7–13-0.0110%11 Aug →
vertigo8–130.0721%10 Aug →
mirage3–130.0920%10 Aug →
dust29–13-0.0425%8 Aug →
nuke13–70.0214%7 Aug →
cache6–13-0.0630%9 Jul →
nuke13–6-0.0228%8 Jul →
dust22–13-0.0627%28 Jun →
mirage7–130.0139%24 Jun →
nuke3–130.0333%24 Jun →
nuke9–13-0.009%14 Jun →
dust213–5-0.0115%14 Jun →
overpass8–13-0.049%13 Jun →
ancient8–130.0524%4 Jun →
vertigo10–13-0.0117%3 Jun →
vertigo12–12-0.0121%3 Jun →
nuke13–50.0819%1 Jun →
nuke13–30.1533%1 Jun →
mirage3–130.0514%1 Jun →
anubis12–120.0539%27 May →
overpass13–60.0714%25 May →
inferno6–13-0.0814%23 May →
ancient6–13-0.0014%20 May →
mirage9–13-0.0231%16 May →
dust211–13-0.0123%16 May →
inferno16–14-0.0320%16 May →
anubis13–60.0714%16 May →
inferno14–16-0.0222%15 May →
dust27–13-0.0719%15 May →
ancient5–13-0.0528%13 May →
nuke15–150.1336%13 May →
mirage11–130.0517%12 May →
inferno6–130.0032%12 May →
nuke11–130.0526%12 May →
overpass9–13-0.018%9 May →
inferno8–130.049%9 May →
overpass13–16-0.0213%8 May →
nuke10–130.0428%7 May →
inferno0–6-0.0813%6 May →
ancient8–130.0320%6 May →
nuke16–140.0621%6 May →
cache12–12-0.0213%6 May →
cache10–70.0327%6 May →
cache13–20.0814%4 May →
cache4–13-0.0430%29 Apr →
cache13–8-0.0215%29 Apr →
overpass13–90.0535%26 Apr →
ancient5–13-0.0224%26 Apr →
train11–13-0.0224%22 Apr →
train1–13-0.0038%22 Apr →
train13–40.0421%22 Apr →
anubis3–13-0.0522%12 Apr →
mirage4–13-0.0520%11 Apr →
anubis5–13-0.0326%26 Mar →
ancient13–100.0419%26 Mar →
nuke13–16-0.0121%25 Mar →
ancient13–6-0.0224%25 Mar →
anubis13–100.0222%25 Mar →
office13–60.0826%22 Mar →
mirage0–130.0028%12 Mar →
overpass13–40.1515%12 Mar →

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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