4llwaysBad

4llwaysBad — CS2 Stats

FI76561199159019221[U:1:1198753493]Steam profile ↗✓ No bans

2,017Tracked matches66%Win rate2021Tracked since
2,022Hours in CS1Hrs last 2 wks
CSDB Rating6.4 SolidAll-Rounder
Premier CS Rating19,697Top 50% of 204,316 CSDB-tracked playersPurple band · top ~9.7% of ranked players (population est.)
CSDB Leaderboard#86902 of 251390 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (13 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: 19,697 +5,349 20 Apr – 30 Sept · 20 days played
13,81319,697peak 19,69720 Apr30 Sept
19,999Peak Premier in tracked matches
26Days played since 2026-04-20

Premier CS Rating

  • At peak — 19,697
  • +404 over 90 days
  • Next: Pink band at 20,000 — 303 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate61.3%44.3%46.9%above
Shot accuracy6.2%11.9%13.0%6.8% short
Kill/death ratio0.801.031.080.28 short
Match win rate44.7%45.2%46.7%2.0% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GG4llwaysBadPREMIER19,697 · 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

Aim62
Positioning70
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY62–31–7Last 10062%Win rateLWWLLWWWWL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −1.9pp headshot accuracy · +28ms reaction

Win rate −10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 634ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 617ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 603ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.2
Utility5.9
Positioning7.0
Opening Duels5.9

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 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Areas to improve

Reaction time. 597ms 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

Aim6.2
Positioning7.0
Utility5.9
Mechanics5.3
Opening Duels4.5
Win Impact10.0

Composite 6.4/10 (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+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time598ms−106ms
first ⅓ avg 704ms → last ⅓ avg 598ms
Headshot accuracy19.6%−5.6%
first ⅓ avg 25.2% → last ⅓ avg 19.6%

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

0.17Best match rating · 4–13 · mirage, 7 May →
60%Best headshot accuracy · 4–13 · mirage, 7 May →
469msFastest reaction time · 13–4 · inferno, 1 Jul →
13–2Biggest win · nuke, 30 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–5In matches decided by ≤2 rounds
15Overtime games

Map breakdown

infernoBest map · 78% over 23dust2Weakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
infernoS2318–578%0.04
nukeA1811–761%0.01
ancientS1711–665%0.00
dust2C146–843%0.02
mirageA127–558%0.03
anubisB63–350%-0.01
cacheA53–260%-0.00
overpassA53–260%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,517Lifetime kills
0.80K/D
2,877Matches
44.7%Match win rate
61.3%Headshot % · Top 5% of Purple band
6.2%Shot accuracy
7,306MVPs
1,545Hours (in match)
2,184Bombs planted
855Bombs defused

Most-used weapons

AK-4744,539
AWP3,334
MP92,589
MAC-102,101
FAMAS1,390

Lifetime map wins

5,316inferno
5,040nuke
3,066dust2
1,533vertigo
865train
32cbble
13italy
13ar_shoots

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.2%Headshot accuracy
34.1%Accuracy (enemy spotted)
36.8%Spray accuracy
73.7%Counter-strafing
10.8°Preaim
597msReaction time
49.5%T opening success
46.7%CT opening success
0.52Enemies flashed / flash
7.6%Flash assists
7.58HE damage / grenade
10.69Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.0331%30 Sept →
nuke13–20.0914%30 Sept →
anubis13–4-0.0318%30 Sept →
inferno7–13-0.0319%17 Sept →
ancient7–13-0.0213%17 Sept →
cache13–70.0612%17 Sept →
inferno13–60.1117%15 Sept →
ancient13–60.0516%10 Sept →
nuke13–30.0313%10 Sept →
dust26–13-0.0120%10 Sept →
mirage4–1-0.0333%10 Sept →
cache1–13-0.083%17 Aug →
inferno13–60.0817%13 Aug →
mirage6–13-0.0318%13 Aug →
ancient13–40.0924%13 Aug →
anubis13–30.0327%11 Aug →
dust213–70.0518%11 Aug →
nuke4–13-0.058%11 Aug →
ancient13–90.0518%11 Aug →
inferno13–30.0926%11 Aug →
cache16–12-0.0421%10 Aug →
mirage13–80.0624%10 Aug →
inferno10–130.0116%7 Aug →
ancient10–130.0215%6 Aug →
nuke15–150.0418%6 Aug →
inferno10–130.0536%1 Jul →
ancient13–10-0.0613%1 Jul →
cache13–110.0220%1 Jul →
inferno13–40.1031%1 Jul →
nuke13–70.0323%24 Jun →
dust213–90.0722%24 Jun →
inferno13–50.0519%24 Jun →
ancient13–70.0524%24 Jun →
dust29–130.0219%23 Jun →
ancient13–11-0.0317%23 Jun →
overpass3–13-0.0014%23 Jun →
anubis13–70.0118%11 Jun →
overpass13–9-0.0116%11 Jun →
ancient10–13-0.0213%11 Jun →
inferno13–10-0.0224%11 Jun →
nuke16–130.0726%11 Jun →
dust215–150.0524%9 Jun →
inferno13–100.0526%9 Jun →
nuke13–50.0317%9 Jun →
mirage13–60.0829%9 Jun →
dust211–13-0.0528%9 Jun →
ancient3–00.000%9 Jun →
dust25–130.0623%3 Jun →
nuke9–130.0318%3 Jun →
ancient15–15-0.0419%3 Jun →
overpass13–50.0532%3 Jun →
anubis8–13-0.0215%3 Jun →
ancient13–20.0727%28 May →
nuke13–60.0320%28 May →
mirage13–7-0.0116%28 May →
overpass13–90.0121%28 May →
dust210–13-0.0417%28 May →
inferno13–50.0923%28 May →
inferno13–100.0331%21 May →
dust216–140.0717%21 May →
dust210–130.0821%20 May →
nuke13–60.0120%14 May →
nuke13–80.0124%14 May →
inferno13–70.1122%14 May →
nuke16–120.0421%14 May →
inferno15–150.0321%14 May →
nuke5–13-0.0616%14 May →
inferno13–50.0130%14 May →
inferno13–100.0726%13 May →
nuke14–16-0.0124%13 May →
anubis9–13-0.0225%13 May →
cache8–130.0219%13 May →
mirage13–60.0524%13 May →
ancient13–8-0.0016%13 May →
inferno13–80.0013%13 May →
dust213–8-0.0025%13 May →
mirage4–130.1760%7 May →
dust213–110.0252%7 May →
inferno3–30.0942%7 May →
nuke13–90.0017%7 May →
nuke8–13-0.0120%7 May →
inferno13–60.0733%7 May →
inferno13–80.0933%6 May →
ancient13–2-0.047%6 May →
mirage11–13-0.039%6 May →
dust213–60.0929%5 May →
inferno13–11-0.0420%22 Apr →
nuke8–13-0.0218%22 Apr →
ancient12–16-0.0840%22 Apr →
inferno13–4-0.0329%22 Apr →
dust215–15-0.0824%22 Apr →
mirage15–15-0.0325%22 Apr →
mirage7–13-0.0413%22 Apr →
nuke13–4-0.0829%22 Apr →
mirage13–40.0129%20 Apr →
mirage13–70.1226%20 Apr →
ancient15–15-0.0321%20 Apr →
ancient16–12-0.0118%20 Apr →
inferno13–60.0223%20 Apr →
overpass14–16-0.0512%20 Apr →

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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