k-t1mE

k-t1mE — CS2 Stats

DE76561198198118286[U:1:237852558]Steam profile ↗✓ No bans

3,917Tracked matches40%Win rate2020Tracked since
7,147Hours in CS36Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
FaceitLevel 10 · 2,380 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (30 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,380 → 2,380
+64Tracked matches · now 3,917
0.0ppWin rate · 40.0% → 40.0%

Rating over time

Faceit ELO: 2,380 +0 28 Aug – 2 Sept · 4 observations
2,3802,380peak 2,38028 Aug2 Sept
2,380Highest Faceit ELO seen on CSDB
63Days played since 2026-04-01

Faceit ELO

  • At peak — 2,380
  • Next: 2,500 ELO at 2,500 — 120 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-28
  • Level 9 first seen 2026-08-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches76——
Win rate54%——
K/D1.09——
Headshot %48%——

Measured 2 Sep 2026 → 2 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 Level 10 among CSDB-tracked players (n=29,218), 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 10 median
Headshot rate44.8%50.9%
Shot accuracy15.1%13.8%
Kill/death ratio1.071.09
Match win rate46.4%48.4%

Share this profile

CSDB.GGk-t1mEFACEITLevel 10 · 2,380 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,380csdb.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

Aim83
Positioning59
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateLLWWLLWLWW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating · −0.7pp headshot accuracy · −66ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 445ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 463ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 496ms

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 (+1.2 against its own average).

Aim8.3
Utility4.9
Positioning5.9
Opening Duels4.8
Clutch3.4

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

iM

Plays most like iM 93% playstyle similarity

Most alike: opening-duel success, 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

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

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

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

Aim8.3
Positioning5.9
Utility4.9
Mechanics7.2
Opening Duels4.4
Win Impact1.7

Composite 6.1/10 (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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time501ms−59ms
first ⅓ avg 561ms → last ⅓ avg 501ms
Headshot accuracy24.3%−2.0%
first ⅓ avg 26.3% → last ⅓ avg 24.3%

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

0.11Best match rating · 13–4 · ancient, 26 Apr →
67%Best headshot accuracy · 3–13 · ancient, 20 May →
375msFastest reaction time · 13–6 · anubis, 20 Aug →
13–0Biggest win · ancient, 20 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
8–14In matches decided by ≤2 rounds
17Overtime games

Map breakdown

nukeBest map · 62% over 13overpassWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
ancientA3521–1460%0.01
anubisC2611–1542%-0.00
infernoC146–843%-0.01
nukeA138–562%-0.02
overpassC83–538%-0.00
dust2—20–20%0.00
mirage—22–0100%-0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

177,102Lifetime kills
1.07K/D
7,351Matches
46.4%Match win rate
44.8%Headshot %
15.1%Shot accuracy · Top 50% of Level 10 players
21,953MVPs
3,484Hours (in match)
6,824Bombs planted
2,291Bombs defused

Most-used weapons

AK-4754,627
AWP31,596
Knife5,190
FAMAS2,707

Lifetime map wins

19,725inferno
17,642dust2
4,553nuke
2,608vertigo
965train
95office
95cbble
77lake

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

Faceit stats

Combat

4,225Matches
51%Win rate
1.09Avg K/D
78.3ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient57853%1.0615.5
Inferno38451%1.0616.1
Anubis37447%1.0816.4
Nuke20058%1.0716.1
Overpass12050%1.1016.2
Vertigo7555%1.0615.6
Dust25233%0.8512.9
Mirage5042%0.9414.8

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.

24.2%Headshot accuracy
34.4%Accuracy (enemy spotted)
38.3%Spray accuracy
82.2%Counter-strafing
10.3°Preaim
502msReaction time
41.0%T opening success
54.4%CT opening success
0.42Enemies flashed / flash
7.1%Flash assists
5.68HE damage / grenade
9.59Flashes / 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 0.423 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Overpass

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

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis12–16-0.0411%17 Sept →
anubis11–13-0.0026%17 Sept →
anubis16–130.0319%16 Sept →
nuke13–100.0129%10 Sept →
ancient9–13-0.0125%9 Sept →
ancient10–130.0929%4 Sept →
ancient16–140.0119%2 Sept →
inferno5–13-0.0135%30 Aug →
inferno13–110.0134%22 Aug →
anubis13–60.0916%20 Aug →
anubis11–13-0.0815%11 Aug →
ancient16–140.0313%10 Aug →
inferno8–13-0.0610%9 Aug →
inferno3–13-0.0757%9 Aug →
anubis14–160.0229%8 Aug →
inferno11–13-0.0125%28 Jul →
ancient3–13-0.1029%27 Jul →
ancient13–6-0.0116%26 Jul →
anubis11–130.0227%26 Jul →
anubis3–13-0.0528%26 Jul →
anubis9–130.0524%20 Jul →
ancient8–13-0.0638%14 Jul →
inferno13–50.0624%14 Jul →
ancient14–16-0.0227%13 Jul →
inferno13–100.0334%12 Jul →
nuke7–13-0.0328%11 Jul →
anubis1–13-0.1013%9 Jul →
inferno13–30.0327%9 Jul →
ancient13–9-0.0010%9 Jul →
nuke13–9-0.0122%7 Jul →
ancient13–40.0320%6 Jul →
overpass13–110.0626%4 Jul →
anubis7–13-0.0315%2 Jul →
inferno9–13-0.0416%30 Jun →
ancient10–13-0.0214%27 Jun →
overpass7–130.0330%26 Jun →
overpass16–13-0.0216%25 Jun →
anubis13–60.0320%24 Jun →
inferno10–130.0317%24 Jun →
anubis13–11-0.0217%3 Jun →
ancient11–13-0.0115%29 May →
ancient7–13-0.0619%27 May →
anubis7–13-0.0126%26 May →
inferno13–9-0.0123%21 May →
nuke13–60.0330%21 May →
ancient13–100.0725%20 May →
nuke13–7-0.0440%20 May →
anubis13–90.0029%20 May →
ancient13–00.0426%20 May →
ancient7–13-0.0320%20 May →
anubis8–13-0.0025%20 May →
ancient3–13-0.0267%20 May →
ancient16–12-0.0223%18 May →
ancient14–16-0.0337%17 May →
nuke13–70.0324%6 May →
anubis13–40.0320%28 Apr →
overpass2–13-0.0628%28 Apr →
nuke13–6-0.0228%27 Apr →
ancient16–140.0421%27 Apr →
overpass7–130.0338%27 Apr →
ancient13–40.1118%26 Apr →
dust215–15-0.0228%26 Apr →
nuke1–9-0.1838%25 Apr →
inferno5–90.0233%25 Apr →
ancient13–5-0.0415%25 Apr →
nuke13–8-0.0321%24 Apr →
anubis11–130.0324%21 Apr →
overpass13–5-0.0137%20 Apr →
overpass11–13-0.0619%19 Apr →
ancient13–60.0517%18 Apr →
anubis11–13-0.0321%18 Apr →
ancient13–90.0019%17 Apr →
ancient13–80.0238%17 Apr →
ancient13–8-0.0126%16 Apr →
anubis13–80.0029%16 Apr →
anubis10–13-0.0520%16 Apr →
anubis13–70.0328%15 Apr →
ancient13–20.0417%14 Apr →
inferno13–7-0.0220%13 Apr →
anubis13–8-0.0113%13 Apr →
nuke6–130.0329%11 Apr →
ancient14–160.0018%11 Apr →
anubis16–140.0429%11 Apr →
nuke9–13-0.0221%9 Apr →
ancient13–100.0443%8 Apr →
nuke11–130.0037%8 Apr →
anubis13–70.0519%8 Apr →
inferno14–16-0.0231%8 Apr →
ancient13–5-0.0235%8 Apr →
ancient9–13-0.0619%8 Apr →
overpass10–130.0222%7 Apr →
nuke13–100.0136%5 Apr →
ancient16–140.0524%4 Apr →
mirage13–9-0.0414%4 Apr →
mirage16–13-0.0131%3 Apr →
dust29–130.0223%2 Apr →
ancient13–20.1054%2 Apr →
ancient13–100.0329%1 Apr →
ancient9–13-0.0129%1 Apr →
anubis13–16-0.0023%1 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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