Lisan al Gaib — CS2 Stats

76561198253898839[U:1:293633111]

1,004Tracked matches62%Win rate2020Tracked since
CSDB Rating5.5 Solid
Ladder ranks via Leetify

Performance scores

Aim54
Positioning48
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY51472Last 10051%Win rateWWLWLWLLLW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim5.4
Aggression5.9
Utility5.6
Positioning4.8
Opening Duels1.5

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 85% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

T-side openings. Opening success drops from 45% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms 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

Aim5.4
Positioning4.8
Utility5.6
Mechanics6.3
Opening Duels1.9
Win Impact9.0

Composite 5.5/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time628ms+17ms
first ⅓ avg 610ms → last ⅓ avg 628ms
Headshot accuracy17.8%−1.9%
first ⅓ avg 19.8% → last ⅓ avg 17.8%

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.

Highlights

0.13Best rating — inferno 13–1
131Biggest win — inferno
5Longest win streak
W2Current streak
118In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 72% over 18infernoWeakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
nukeS1813572%0.02
infernoD1851328%0.01
mirageA1810856%0.01
dust2B157847%-0.00
ancientA127558%-0.00
anubisC114736%0.00
cacheB63350%-0.02
overpass110100%0.07
train110100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (28% over 18). 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.

18.6%Headshot accuracy
31.4%Accuracy (enemy spotted)
34.6%Spray accuracy
78.5%Counter-strafing
11.4°Preaim
620msReaction time
27.3%T opening success
45.0%CT opening success
0.48Enemies flashed / flash
4.2%Flash assists
12.24HE damage / grenade
5.87Flashes / 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 0.4808 — below the 0.5 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 27.2917% — 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.

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke16–140.0211%19 Jul
ancient13–110.0121%19 Jul
anubis5–13-0.0311%18 Jul
nuke13–100.0819%18 Jul
anubis3–130.0012%11 Jul
ancient13–6-0.0117%11 Jul
cache8–13-0.0120%11 Jul
inferno8–13-0.0515%11 Jul
nuke5–13-0.0614%11 Jul
inferno13–60.0522%11 Jul
cache13–9-0.0224%10 Jul
mirage13–9-0.0013%10 Jul
cache5–13-0.065%9 Jul
inferno7–13-0.0231%9 Jul
cache13–7-0.0021%8 Jul
nuke13–50.0817%30 Jun
inferno13–10.1323%29 Jun
overpass13–50.0718%23 Jun
dust25–13-0.0513%22 Jun
ancient16–13-0.0524%10 Jun
dust211–13-0.0119%8 Jun
mirage13–110.0426%7 Jun
dust213–80.0316%7 Jun
inferno12–160.0128%7 Jun
mirage12–160.0317%30 May
ancient13–40.0317%30 May
nuke13–40.0833%30 May
anubis13–10.0810%30 May
inferno15–150.0617%29 May
ancient16–130.0319%29 May
inferno16–13-0.039%23 May
dust214–160.0110%23 May
dust22–13-0.0917%20 May
ancient13–9-0.0211%17 May
anubis12–160.0616%16 May
nuke5–130.0211%16 May
nuke13–90.0420%15 May
mirage13–4-0.0125%15 May
anubis13–7-0.0218%15 May
anubis7–13-0.0110%13 May
dust24–130.019%13 May
mirage2–13-0.0710%12 May
anubis13–8-0.0117%12 May
mirage7–130.097%10 May
inferno4–13-0.0119%9 May
mirage13–7-0.0516%9 May
nuke13–160.0319%9 May
mirage13–90.0215%9 May
mirage13–110.0123%8 May
cache5–130.0022%2 May
inferno13–110.1315%2 May
ancient13–40.0322%1 May
cache13–7-0.0115%29 Apr
mirage14–16-0.0021%27 Apr
inferno7–130.0614%27 Apr
mirage13–50.0511%27 Apr
nuke13–90.0926%25 Apr
dust213–110.0119%25 Apr
mirage11–130.0412%25 Apr
nuke13–4-0.038%25 Apr
nuke13–6-0.0216%25 Apr
anubis7–13-0.0715%25 Apr
train13–110.0319%24 Apr
dust213–80.0311%22 Apr
dust213–11-0.0513%22 Apr
ancient11–130.0320%19 Apr
ancient8–13-0.0611%19 Apr
inferno14–160.0316%19 Apr
mirage14–160.0020%19 Apr
nuke13–9-0.0010%18 Apr
mirage13–9-0.0411%14 Apr
anubis10–13-0.0415%11 Apr
dust27–13-0.0824%11 Apr
nuke13–80.0524%10 Apr
anubis13–8-0.0515%9 Apr
dust213–110.0419%28 Mar
nuke13–70.0432%27 Mar
nuke13–50.0324%23 Mar
dust28–13-0.0220%22 Mar
nuke13–110.0319%22 Mar
dust213–50.0816%21 Mar
inferno3–13-0.0418%20 Mar
inferno9–13-0.0521%14 Mar
inferno10–13-0.0126%12 Mar
dust213–110.0114%7 Mar
mirage5–13-0.0420%3 Mar
inferno10–130.0718%1 Mar
ancient4–130.0013%28 Feb
mirage13–80.0711%24 Feb
ancient10–13-0.0320%21 Feb
mirage13–7-0.0518%21 Feb
dust212–16-0.0023%16 Feb
ancient8–13-0.0120%16 Feb
inferno13–6-0.0424%16 Feb
anubis9–130.0827%14 Feb
inferno11–130.0222%14 Feb
nuke10–13-0.0222%12 Feb
inferno5–13-0.0617%11 Feb
mirage8–130.0231%9 Feb
nuke15–15-0.0423%7 Feb

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 →