Lisan al-Gaib

Lisan al-Gaib — CS2 Stats

76561198151525882[U:1:191260154]Steam profile ↗✓ No bans

55Tracked matches52%Win rate2025Tracked since
CSDB Rating3.9 LearningPositional Player
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 55 tracked matches. Play, then come back: the next observation lands here.

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. 38 days played since 12 Sep 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 15,503 +4,330 27 Apr6 Jul · 16 days played
11,17316,298peak 16,29827 Apr6 Jul
16,298Peak Premier in tracked matches
38Days played since 2025-09-12

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim45
Positioning41
Utility20

0–100 skill scores via Leetify.

Recent form

COLD23284Last 5542%Win rateTLLLLLLWWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −3.2pp headshot accuracy · +82ms reaction

Win rate down 20pp 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

  • 041 · 0% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 15%
  • Avg reaction 544ms

Last 10

  • 271 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 16%
  • Avg reaction 653ms

Last 20

  • 6122 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 18%
  • Avg reaction 612ms

Newest first, from the last 55 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 (+1.7 against its own average).

Aim4.5
Utility2.0
Positioning4.1
Opening Duels1.1

Limited 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 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 664ms 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

Aim4.5
Positioning4.1
Utility2.0
Mechanics4.8
Opening Duels1.0
Win Impact5.6

Composite 3.9/10 (Learning), 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-0.06−0.05
first ⅓ avg -0.01 → last ⅓ avg -0.06
Reaction time617ms−43ms
first ⅓ avg 660ms → last ⅓ avg 617ms
Headshot accuracy17.3%+1.3%
first ⅓ avg 16.0% → last ⅓ avg 17.3%

Rolling 5-match average across the last 55 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.16Best match rating · 9–1 · inferno, 24 Sept
43%Best headshot accuracy · 4–13 · cache, 2 May
406msFastest reaction time · 3–9 · inferno, 13 Aug
13–1Biggest win · nuke, 24 Jun

Across the last 55 tracked matches.

Highlights

3Longest win streak
32In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 57% over 14infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A148657%-0.00
infernoD113827%-0.05
mirageC104640%-0.03
cacheC83538%-0.02
nukeC73443%-0.05
anubis31233%-0.03
vertigo21150%-0.00

Across the last 55 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

19.4%Headshot accuracy
30.6%Accuracy (enemy spotted)
34.5%Spray accuracy
71.7%Counter-strafing
11.3°Preaim
664msReaction time
29.1%T opening success
37.9%CT opening success
0.51Enemies flashed / flash
5.1%Flash assists
4.97HE damage / grenade
1.29Flashes / 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 1.2924 — below the 4 mark we flag

    Grenade Lineups
  2. 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 29.0614% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis15–15-0.0320%14 Aug
inferno3–9-0.1517%13 Aug
nuke4–13-0.0214%23 Jul
dust22–13-0.0211%16 Jul
nuke4–13-0.1114%9 Jul
inferno2–9-0.1918%8 Jul
cache4–13-0.0512%7 Jul
cache13–7-0.0511%7 Jul
anubis13–40.0323%6 Jul
dust26–13-0.0720%3 Jul
dust27–13-0.0629%2 Jul
cache13–9-0.0315%2 Jul
mirage13–90.0329%29 Jun
nuke13–1-0.058%24 Jun
mirage1–13-0.030%23 Jun
inferno1–9-0.2130%23 Jun
inferno6–13-0.0515%22 Jun
dust213–8-0.0026%18 Jun
inferno8–8-0.0312%4 Jun
nuke3–13-0.1128%4 Jun
inferno13–70.0035%2 Jun
dust213–4-0.0426%1 Jun
cache2–13-0.049%21 May
dust213–11-0.0413%14 May
dust210–3-0.0227%10 May
mirage7–13-0.0618%10 May
cache13–50.0921%10 May
cache9–13-0.0119%10 May
mirage13–50.0213%9 May
nuke13–8-0.0120%5 May
cache4–13-0.0243%2 May
dust211–20.0626%2 May
cache7–13-0.0116%29 Apr
dust213–30.0916%27 Apr
inferno10–13-0.0020%20 Apr
anubis9–13-0.0818%20 Apr
dust213–60.0117%19 Apr
inferno4–130.0010%12 Apr
dust213–10.1221%12 Apr
mirage2–13-0.0813%7 Apr
mirage3–13-0.0723%5 Apr
dust212–120.0923%31 Mar
vertigo11–13-0.0126%30 Sept
mirage12–12-0.0712%30 Sept
inferno9–70.0110%26 Sept
nuke13–80.0013%25 Sept
dust27–13-0.0615%25 Sept
mirage13–110.0210%24 Sept
mirage5–20.0325%24 Sept
inferno6–9-0.1016%24 Sept
inferno9–10.166%24 Sept
mirage6–13-0.0817%13 Sept
nuke6–13-0.0821%13 Sept
vertigo13–50.0115%13 Sept
dust211–13-0.0913%12 Sept

Match data via Leetify.

Recent teammates

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