a4l

a4l — CS2 Stats

DE76561198008000209[U:1:47734481]Steam profile ↗✓ No bans

230Tracked matches57%Win rate2021Tracked since
1,754Hours in CS16Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating14,512Blue band · top ~31% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−226Premier CS Rating · 14,738 → 14,512
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 35 days played since 18 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 14,512 -1,136 18 Jun20 Sept · 28 days played
10,33315,648peak 15,64818 Jun20 Sept
15,730Peak Premier in tracked matches
35Days played since 2026-06-18

Premier CS Rating

  • 1,136 below peak (15,648)
  • +4,174 over 30 days · improving
  • -857 over 90 days
  • Next: Purple band at 15,000 488 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 Blue band among CSDB-tracked players (n=20,242), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate51.9%41.9%44.3%above
Shot accuracy15.1%9.6%11.8%above
Kill/death ratio1.370.981.03above
Match win rate50.9%43.8%45.2%above

Across every metric we can compare, this profile already matches the typical Purple band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGa4lPREMIER14,512 · Blue 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

Aim86
Positioning61
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY52471Last 10052%Win rateLWLWWWLLLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −5.1pp headshot accuracy · −35ms 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

  • 32 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 475ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 488ms

Last 20

  • 1010 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 506ms

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 PlayerPositioning stands above the rest of this profile (+1.1 against its own average).

Aim8.6
Utility4.7
Positioning6.1
Opening Duels4.2

Sharp aimerExcellent counter-strafingLimited 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

iM

Plays most like iM 94% playstyle similarity

Most alike: aim profile, opening-duel success.

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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

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

Aim8.6
Positioning6.1
Utility4.7
Mechanics8.8
Opening Duels3.7
Win Impact7.2

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time512ms−99ms
first ⅓ avg 612ms → last ⅓ avg 512ms
Headshot accuracy19.0%+2.5%
first ⅓ avg 16.5% → last ⅓ avg 19.0%

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

0.14Best match rating · 13–3 · mirage, 23 Aug
40%Best headshot accuracy · 8–13 · nuke, 17 Sept
328msFastest reaction time · 1–6 · dust2, 18 Sept
13–2Biggest win · nuke, 19 Sept

Across the last 100 tracked matches.

Highlights

7Longest win streak
78In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 85% over 13ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C32131941%0.02
mirageS2014670%0.01
cacheD1551033%0.03
nukeB147750%0.01
infernoS1311285%0.03
ancientD51420%0.02
anubis110100%0.03

Across the last 100 tracked matches.

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

Lifetime stats

64,419Lifetime kills
1.37K/D · Top 5% of Blue band
2,196Matches
50.9%Match win rate · Top 10% of Blue band
51.9%Headshot % · Top 25% of Blue band
15.1%Shot accuracy · Top 25% of Blue band
7,363MVPs
1,110Hours (in match)
2,839Bombs planted
869Bombs defused

Most-used weapons

Lifetime map wins

7,092dust2
5,834nuke
5,168inferno
1,173train
169dust
141cbble
111aztec
61vertigo

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.

18.7%Headshot accuracy
35.7%Accuracy (enemy spotted)
34.2%Spray accuracy
89.8%Counter-strafing
8.0°Preaim
510msReaction time
47.2%T opening success
42.6%CT opening success
0.56Enemies flashed / flash
6.7%Flash assists
13.71HE damage / grenade
3.94Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.9374 — below the 4 mark we flag

    Grenade Lineups
Spend your practice time on Ancient

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.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust26–130.0612%20 Sept
nuke16–140.0414%20 Sept
cache4–13-0.0312%20 Sept
inferno13–10-0.0117%19 Sept
nuke13–2-0.0221%19 Sept
inferno13–4-0.0216%19 Sept
cache6–13-0.0121%19 Sept
mirage8–130.0221%19 Sept
dust214–160.0818%19 Sept
nuke13–100.0314%19 Sept
mirage1–13-0.0811%19 Sept
inferno13–100.0414%19 Sept
dust26–13-0.0218%19 Sept
mirage11–00.0426%18 Sept
dust21–6-0.0133%18 Sept
ancient13–60.0617%18 Sept
mirage9–13-0.0718%18 Sept
nuke8–130.0140%17 Sept
mirage13–10-0.0222%17 Sept
inferno13–100.0916%17 Sept
cache11–130.0224%16 Sept
dust27–13-0.0416%12 Sept
cache12–6-0.0129%12 Sept
cache7–130.0318%10 Sept
inferno13–40.1132%10 Sept
inferno13–5-0.0016%6 Sept
dust213–100.0813%6 Sept
mirage11–60.005%5 Sept
dust213–40.0619%5 Sept
dust213–80.0023%5 Sept
dust213–100.0418%5 Sept
ancient1–13-0.076%5 Sept
nuke13–3-0.0126%5 Sept
dust213–60.0925%2 Sept
dust213–100.0415%2 Sept
dust210–13-0.009%31 Aug
cache13–90.0120%31 Aug
dust212–16-0.0519%30 Aug
mirage13–110.0023%30 Aug
inferno9–13-0.049%30 Aug
mirage13–90.1014%28 Aug
inferno13–50.0817%28 Aug
dust213–110.0219%28 Aug
inferno10–20.0317%28 Aug
mirage13–50.0418%28 Aug
cache13–20.1217%28 Aug
dust24–13-0.0123%26 Aug
dust211–130.0616%23 Aug
mirage13–30.1430%23 Aug
nuke9–130.0316%23 Aug
mirage13–110.0623%23 Aug
dust213–40.0311%23 Aug
dust213–20.0721%22 Aug
dust28–130.0615%22 Aug
nuke13–110.0318%22 Aug
mirage4–13-0.0822%21 Aug
nuke7–13-0.0310%21 Aug
ancient13–160.0520%21 Aug
mirage16–14-0.0121%17 Aug
dust214–16-0.0625%14 Aug
inferno12–160.0316%11 Aug
dust213–70.0419%9 Aug
cache13–50.0825%9 Aug
dust26–130.0525%9 Aug
dust215–15-0.0226%7 Aug
mirage13–8-0.0519%7 Aug
inferno13–10-0.0011%7 Aug
dust210–130.0220%4 Aug
inferno13–30.0814%4 Aug
dust23–130.0233%4 Aug
cache13–160.0419%1 Aug
ancient4–130.0721%1 Aug
nuke13–90.0218%31 Jul
cache13–70.1216%31 Jul
dust29–13-0.0223%31 Jul
mirage10–130.0220%31 Jul
inferno13–10-0.0020%26 Jul
nuke11–13-0.0026%26 Jul
ancient0–6-0.030%26 Jul
dust213–3-0.0317%26 Jul
nuke13–160.1118%25 Jul
dust216–120.0018%25 Jul
cache5–13-0.0422%25 Jul
mirage11–13-0.053%24 Jul
dust27–13-0.0112%24 Jul
nuke8–5-0.035%23 Jul
dust213–70.0224%23 Jul
nuke9–130.0518%23 Jul
anubis13–80.039%23 Jul
mirage16–120.0313%23 Jul
cache11–13-0.0520%17 Jul
cache2–130.0228%12 Jul
cache7–70.0510%10 Jul
mirage13–30.0614%10 Jul
cache10–130.0613%10 Jul
nuke3–13-0.0211%10 Jul
dust26–13-0.0321%30 Jun
mirage13–9-0.0113%30 Jun
dust213–16-0.0010%22 Jun
mirage13–110.0120%18 Jun

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →