Kill meh

Kill meh — CS2 Stats

FR76561198267112266[U:1:306846538]Steam profile ↗✓ No bans

611Tracked matches36%Win rate2021Tracked since
993Hours in CS
CSDB Rating4.0 DevelopingSupport
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 611 tracked matches. Play, then come back: the next observation lands here.

Rating over time

30Days played since 2026-04-09

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,649), 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 5 medianLevel 6 medianvs Level 6
Headshot rate40.4%43.7%44.8%4.4% short
Shot accuracy18.3%12.0%12.4%above
Kill/death ratio1.121.021.03above
Match win rate43.1%44.7%45.2%2.1% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKill mehFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim48
Positioning37
Utility68

0–100 skill scores via Leetify.

Recent form

COLD34–59–7Last 10034%Win rateLLLWLLWLWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +0.4pp headshot accuracy · −17ms 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 -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 677ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 684ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 692ms

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 (+3.2 against its own average).

Aim4.8
Utility6.8
Positioning3.7
Opening Duels0.3

Strong T-side openerEffective 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 71% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Areas to improve

CT openings. Opening success drops from 36% on T to 20% on CT — first contacts on the defending side are being lost.

Reaction time. 645ms 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

Aim4.8
Positioning3.7
Utility6.8
Mechanics4.6
Opening Duels0.7
Win Impact0.2

Composite 4.0/10 (Developing), 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-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time667ms−9ms
first ⅓ avg 676ms → last ⅓ avg 667ms
Headshot accuracy21.8%−1.0%
first ⅓ avg 22.8% → last ⅓ avg 21.8%

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

0.15Best match rating · 9–0 · nuke, 20 Aug →
56%Best headshot accuracy · 3–13 · cache, 24 Aug →
422msFastest reaction time · 13–11 · office, 21 Aug →
13–1Biggest win · mirage, 23 Apr →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L3Current streak
6–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 36% over 25infernoWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageD299–2031%-0.00
nukeC259–1636%-0.03
dust2D217–1433%-0.02
infernoD123–925%-0.02
cache—42–250%-0.03
office—31–233%-0.06
vertigo—22–0100%-0.06
anubis—20–20%-0.03
ancient—21–150%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,569Lifetime kills
1.12K/D · Top 50% of Level 5 players
3,204Matches
43.1%Match win rate
40.4%Headshot %
18.3%Shot accuracy · Top 10% of Level 5 players
6,268MVPs
993Hours (in match)
1,554Bombs planted
602Bombs defused

Most-used weapons

AK-4719,061
AWP9,485
MP91,368
SSG 081,174
P2501,153

Lifetime map wins

3,847inferno
3,652nuke
1,811dust2
1,134vertigo
816train
582office
474cbble
161bank

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

Faceit stats

Combat

9Matches
67%Win rate
1.24Avg K/D
—ADR
36%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%1.3414.0
Ancient2100%1.0812.0
Nuke250%1.1023.0
Anubis1100%1.3630.0

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.

21.3%Headshot accuracy
28.7%Accuracy (enemy spotted)
29.2%Spray accuracy
70.7%Counter-strafing
9.4°Preaim
645msReaction time
35.9%T opening success
20.4%CT opening success
0.71Enemies flashed / flash
9.1%Flash assists
11.43HE damage / grenade
13.06Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 35.8916% — 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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–130.0428%24 Sept →
nuke5–13-0.0821%24 Sept →
dust20–13-0.0417%23 Sept →
vertigo13–6-0.0211%23 Sept →
mirage10–13-0.046%23 Sept →
nuke4–13-0.1120%23 Sept →
dust213–70.0024%23 Sept →
dust22–13-0.0835%20 Sept →
nuke13–11-0.0033%20 Sept →
dust28–13-0.0320%9 Sept →
mirage10–130.0516%9 Sept →
inferno1–9-0.2729%9 Sept →
mirage3–13-0.0319%9 Sept →
mirage13–30.0429%7 Sept →
inferno6–13-0.0332%7 Sept →
anubis3–13-0.0127%7 Sept →
nuke9–30.0133%2 Sept →
nuke2–9-0.106%2 Sept →
dust213–9-0.119%2 Sept →
nuke12–120.0212%31 Aug →
mirage3–13-0.0424%31 Aug →
inferno9–130.0629%31 Aug →
mirage13–50.0723%31 Aug →
ancient13–11-0.0412%31 Aug →
office4–13-0.1033%31 Aug →
dust213–20.0331%31 Aug →
inferno5–13-0.068%31 Aug →
mirage13–110.0312%31 Aug →
nuke11–130.0819%31 Aug →
mirage12–120.0322%25 Aug →
dust22–13-0.0720%25 Aug →
mirage6–13-0.0419%25 Aug →
dust213–10-0.0238%25 Aug →
nuke13–11-0.0616%25 Aug →
cache3–13-0.0656%24 Aug →
mirage5–13-0.0516%24 Aug →
dust213–100.0132%24 Aug →
nuke13–50.0717%24 Aug →
mirage11–13-0.0429%24 Aug →
cache2–13-0.0543%24 Aug →
nuke4–13-0.0738%24 Aug →
nuke9–130.0525%23 Aug →
dust23–13-0.1124%23 Aug →
dust213–11-0.0518%23 Aug →
nuke8–13-0.0523%23 Aug →
mirage13–100.0324%23 Aug →
mirage13–10-0.0439%23 Aug →
mirage13–10-0.0221%23 Aug →
inferno12–12-0.0322%23 Aug →
nuke8–13-0.0520%23 Aug →
nuke1–9-0.2411%23 Aug →
nuke9–6-0.0017%23 Aug →
office13–11-0.0111%21 Aug →
dust28–13-0.0140%21 Aug →
mirage7–13-0.0313%21 Aug →
ancient12–120.0025%21 Aug →
nuke13–40.0522%20 Aug →
inferno13–90.0216%20 Aug →
inferno13–50.1420%20 Aug →
dust211–130.0225%20 Aug →
mirage13–60.0118%20 Aug →
nuke9–00.1529%20 Aug →
mirage7–13-0.0530%19 Aug →
dust29–130.1330%19 Aug →
mirage7–13-0.0115%19 Aug →
nuke10–13-0.0622%19 Aug →
cache13–80.0513%1 Aug →
inferno1–13-0.0614%1 Aug →
dust25–13-0.0735%1 Aug →
nuke13–60.0132%10 Jul →
mirage7–13-0.0920%10 Jul →
cache13–4-0.0625%10 Jul →
nuke12–12-0.0819%10 Jul →
mirage6–13-0.0245%29 Jun →
nuke7–9-0.0915%21 Jun →
inferno5–9-0.0718%21 Jun →
mirage5–13-0.0232%16 Jun →
office2–13-0.0830%16 Jun →
mirage6–13-0.0617%29 May →
nuke13–20.0320%27 May →
inferno13–100.0415%27 Apr →
dust29–13-0.0522%23 Apr →
anubis4–13-0.0523%23 Apr →
nuke5–13-0.1022%23 Apr →
mirage13–10.1422%23 Apr →
dust23–13-0.0027%22 Apr →
inferno10–13-0.0319%22 Apr →
mirage2–130.0023%22 Apr →
nuke2–13-0.0718%22 Apr →
nuke10–130.0323%20 Apr →
dust25–13-0.0220%20 Apr →
mirage10–13-0.0121%17 Apr →
mirage13–3-0.0318%16 Apr →
vertigo13–8-0.1017%14 Apr →
inferno13–160.0120%11 Apr →
dust29–13-0.0426%11 Apr →
mirage8–130.0726%10 Apr →
dust213–7-0.0018%10 Apr →
dust212–120.0116%9 Apr →
mirage12–12-0.0437%9 Apr →

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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