KlaskeloT

KlaskeloT — CS2 Stats

DK76561197968341051[U:1:8075323]Steam profile ↗✓ No bans

734Tracked matches34%Win rate2020Tracked since
1,910Hours in CS4Hrs last 2 wks
CSDB Rating6.2 SolidSupport
Premier CS Rating15,644Purple band · top ~25.8% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (5 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: 15,644 -3,416 17 Feb – 28 Oct · 11 days played
15,64420,384peak 20,38417 Feb28 Oct
20,384Peak Premier in tracked matches
33Days played since 2025-01-31

Premier CS Rating

  • 4,740 below peak (20,384)
  • Next: Pink band at 20,000 — 4,356 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.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate33.3%45.7%46.8%13.5% short
Shot accuracy15.0%12.7%13.0%above
Kill/death ratio1.091.051.06above
Match win rate46.8%45.7%46.3%meets

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKlaskeloTFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER15,644 · 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

Aim71
Positioning72
Utility73

0–100 skill scores via Leetify.

Recent form

COLD44–51–5Last 10044%Win rateTLWLLLLLLW

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · +2.1pp headshot accuracy · −31ms 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.10
  • Avg headshot accuracy 14%
  • Avg reaction 494ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 12%
  • Avg reaction 494ms

Last 20

  • 4–15–1 · 20% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 11%
  • Avg reaction 510ms

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 (+1.5 against its own average).

Aim7.1
Utility7.3
Positioning7.2
Opening Duels5.3
Clutch3.2

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

Twistzz

Plays most like Twistzz 80% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

T openings. 63% T opening-duel success — entries that actually open the round.

Flashes. 0.94 enemies blinded per flash — utility that consistently lands.

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
Positioning7.2
Utility7.3
Mechanics5.7
Opening Duels7.2
Win Impact0.0

Composite 6.2/10 (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 rating0.04+0.04
first ⅓ avg -0.00 → last ⅓ avg 0.04
Reaction time511ms−87ms
first ⅓ avg 597ms → last ⅓ avg 511ms
Headshot accuracy11.9%−0.9%
first ⅓ avg 12.8% → last ⅓ avg 11.9%

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

0.18Best match rating · 13–2 · dust2, 9 Sept →
26%Best headshot accuracy · 13–11 · inferno, 15 Feb →
398msFastest reaction time · 13–6 · inferno, 7 Oct →
13–0Biggest win · inferno, 21 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–2In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 59% over 29mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA2917–1259%0.03
dust2C228–1436%0.03
nukeB179–853%0.02
trainC125–742%-0.02
ancientD93–633%-0.00
mirageD51–420%0.04
cache—31–233%0.06
overpass—20–20%0.04
vertigo—10–10%0.01

Across the last 100 tracked matches.

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

Lifetime stats

51,290Lifetime kills
1.09K/D · Top 50% of Level 7 players
2,464Matches
46.8%Match win rate · Top 50% of Level 7 players
33.3%Headshot %
15.0%Shot accuracy · Top 50% of Level 7 players
6,414MVPs
1,252Hours (in match)
3,475Bombs planted
767Bombs defused

Most-used weapons

AK-4716,831
AWP3,253
AUG1,386
FAMAS1,339
P2501,089

Lifetime map wins

7,770inferno
4,662dust2
2,266nuke
1,863vertigo
773train
256cbble
14aztec
11safehouse

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

Faceit stats

Combat

354Matches
55%Win rate
1.13Avg K/D
77.2ADR
34%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno8861%1.2214.8
Vertigo5556%1.1015.1
Nuke4356%1.0015.6
Ancient3438%1.0016.6
Overpass1850%1.1717.6
Mirage1030%0.7913.0
Dust2933%0.6512.2
Train786%1.1916.0

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.

11.8%Headshot accuracy
37.1%Accuracy (enemy spotted)
39.2%Spray accuracy
75.6%Counter-strafing
9.7°Preaim
511msReaction time
62.7%T opening success
55.1%CT opening success
0.94Enemies flashed / flash
6.8%Flash assists
19.54HE damage / grenade
5.94Flashes / 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 11.8243% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage15–150.1017%28 Oct →
dust28–130.0313%28 Oct →
mirage13–110.1011%21 Oct →
cache10–130.1511%21 Oct →
inferno9–130.1016%21 Oct →
dust26–13-0.0315%14 Oct →
mirage1–13-0.048%14 Oct →
dust25–130.068%14 Oct →
inferno6–130.0312%14 Oct →
dust213–110.078%10 Oct →
inferno9–130.023%10 Oct →
mirage2–13-0.019%10 Oct →
dust210–130.1214%7 Oct →
inferno13–60.069%7 Oct →
dust20–13-0.0413%7 Oct →
inferno13–60.0013%30 Sept →
dust23–13-0.0110%30 Sept →
dust29–130.0416%30 Sept →
mirage9–130.026%23 Sept →
dust29–13-0.025%23 Sept →
dust28–13-0.0213%16 Sept →
nuke8–130.0419%16 Sept →
dust211–130.0313%16 Sept →
dust213–20.1811%9 Sept →
inferno13–100.0214%2 Sept →
dust213–50.0412%2 Sept →
inferno13–50.037%2 Sept →
dust28–130.0413%2 Sept →
nuke13–90.1116%22 Aug →
cache13–70.0414%22 Aug →
inferno13–90.0019%22 Aug →
nuke8–130.0117%22 Aug →
ancient13–8-0.008%22 Aug →
nuke13–90.0811%21 Aug →
inferno13–00.0718%21 Aug →
inferno12–120.0217%21 Aug →
inferno13–110.0411%21 Aug →
inferno13–40.087%21 Aug →
inferno3–130.0918%21 Aug →
inferno13–80.086%19 Aug →
inferno6–130.1212%19 Aug →
vertigo6–130.018%17 Aug →
inferno13–70.1215%6 Aug →
inferno8–10.0713%6 Aug →
dust211–130.0211%23 Jul →
cache7–13-0.0113%23 Jul →
nuke15–15-0.0012%17 Jul →
inferno7–13-0.0217%17 Jul →
nuke13–40.0620%17 Jul →
ancient9–13-0.046%17 Jul →
dust213–110.0514%17 Jul →
inferno13–0-0.017%17 Jul →
nuke13–30.0911%8 Jul →
overpass6–130.0111%5 Jul →
nuke3–13-0.0114%5 Jul →
overpass15–150.0712%16 Nov →
ancient5–13-0.0717%16 Nov →
nuke1–13-0.0713%16 Nov →
inferno5–3-0.0614%16 Nov →
inferno10–13-0.0711%15 Nov →
nuke13–100.0414%15 Nov →
train5–13-0.058%15 Nov →
nuke4–130.017%17 Sept →
nuke6–13-0.057%31 Mar →
train9–130.048%19 Mar →
train2–13-0.0114%19 Mar →
nuke10–13-0.016%19 Mar →
ancient8–30.073%19 Mar →
inferno0–3-0.020%17 Mar →
inferno13–50.0717%17 Mar →
train13–5-0.026%17 Mar →
dust216–14-0.0416%28 Feb →
nuke13–11-0.0012%20 Feb →
train5–13-0.0716%20 Feb →
inferno13–10-0.0323%20 Feb →
train13–11-0.0212%20 Feb →
train7–13-0.0020%18 Feb →
dust213–80.0120%18 Feb →
nuke13–80.025%18 Feb →
ancient13–10.107%17 Feb →
train16–12-0.0113%17 Feb →
ancient5–13-0.0314%17 Feb →
train13–4-0.0012%17 Feb →
inferno2–13-0.079%17 Feb →
ancient8–13-0.029%15 Feb →
ancient15–150.0114%15 Feb →
nuke13–10-0.0118%15 Feb →
train7–13-0.0219%15 Feb →
train13–60.0218%15 Feb →
dust213–40.0515%15 Feb →
inferno13–11-0.0126%15 Feb →
dust210–13-0.0214%14 Feb →
inferno8–13-0.0710%14 Feb →
inferno13–70.0712%14 Feb →
inferno7–13-0.015%10 Feb →
ancient6–13-0.037%10 Feb →
train7–13-0.0712%31 Jan →
dust213–40.0213%31 Jan →
dust210–13-0.0218%31 Jan →
nuke13–100.008%31 Jan →

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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