el cono inutil

el cono inutil — CS2 Stats

ES76561198041352887[U:1:81087159]Steam profile ↗

1,128Tracked matches41%Win rate2020Tracked since
CSDB Rating6.0 SolidAggressive Rifler
Premier CS Rating20,756Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.7% of ranked players (population est.)
CSDB Leaderboard#9523 of 25313 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGel cono inutilFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER20,756 · Pink bandcsdb.gg/stats

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Performance scores

Aim79
Positioning53
Utility56

0–100 skill scores via Leetify.

Recent form

COLD45496Last 10045%Win rateWLLLWLLLLL

Last 10 vs previous 10: -40pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.9
Aggression8.6
Utility5.6
Positioning5.3
Opening Duels3.5
Clutch0.0

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

b1t

Plays most like b1t 91% 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

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

Aim7.9
Positioning5.3
Utility5.6
Mechanics6.9
Opening Duels3.5
Win Impact2.1

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg -0.00
Reaction time593ms−87ms
first ⅓ avg 680ms → last ⅓ avg 593ms
Headshot accuracy21.5%+2.1%
first ⅓ avg 19.4% → last ⅓ avg 21.5%

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

0.21Best rating — inferno 13–10
131Biggest win — nuke
6Longest win streak
79In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 67% over 9infernoWeakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
dust2C43172640%0.00
infernoC1971237%0.02
mirageB126650%0.01
nukeS96367%0.02
ancientA74357%0.05
anubisS64267%0.03
cache41325%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

175Matches
53%Win rate
1.18Avg K/D
99.5ADR
36%Headshot %

Clutches & streaks

0%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient367%1.3419.0
Anubis10%1.0617.0

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.

21.1%Headshot accuracy
34.9%Accuracy (enemy spotted)
43.4%Spray accuracy
80.9%Counter-strafing
9.0°Preaim
597msReaction time
41.9%T opening success
46.3%CT opening success
0.56Enemies flashed / flash
5.3%Flash assists
12.76HE damage / grenade
7.90Flashes / match

Recommended for you

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.

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–110.0310%28 Aug
dust21–13-0.0640%27 Aug
inferno1–13-0.0950%27 Aug
dust210–13-0.0017%24 Aug
nuke13–10.0131%24 Aug
ancient9–130.0516%19 Aug
dust211–13-0.0338%19 Aug
dust27–13-0.0316%18 Aug
nuke8–13-0.0315%18 Aug
dust28–130.0122%18 Aug
nuke12–30.0317%18 Aug
dust210–13-0.0735%18 Aug
dust213–7-0.088%18 Aug
inferno13–2-0.030%18 Aug
anubis11–13-0.0248%17 Aug
dust213–60.1224%17 Aug
anubis13–90.0518%17 Aug
dust213–110.0719%17 Aug
inferno14–16-0.0222%16 Aug
dust24–13-0.0611%16 Aug
inferno11–130.0519%13 Aug
dust213–30.029%13 Aug
dust29–130.0621%11 Aug
dust213–70.0127%11 Aug
ancient13–90.0718%11 Aug
inferno2–130.0118%11 Aug
mirage7–13-0.0519%4 Aug
dust25–13-0.0415%4 Aug
dust215–15-0.0117%4 Aug
dust213–80.0322%28 Jul
dust27–13-0.0129%23 Jul
inferno4–13-0.0412%23 Jul
dust27–13-0.0226%23 Jul
cache12–50.1423%22 Jul
dust213–60.1319%22 Jul
dust211–130.0427%21 Jul
nuke13–8-0.0219%14 Jul
inferno6–13-0.0320%30 Jun
inferno11–130.0511%30 Jun
dust23–13-0.063%30 Jun
inferno13–70.0513%28 Jun
dust215–15-0.0118%28 Jun
mirage13–30.0215%28 Jun
dust26–13-0.068%28 Jun
dust24–13-0.0518%28 Jun
inferno13–100.2126%27 Jun
inferno6–13-0.056%27 Jun
cache9–130.0326%27 Jun
inferno10–130.0225%27 Jun
mirage9–130.0421%27 Jun
dust213–11-0.0215%27 Jun
ancient9–130.0729%27 Jun
dust216–14-0.0311%27 Jun
inferno13–40.0526%27 Jun
cache12–30.0829%26 Jun
inferno7–90.0922%26 Jun
anubis13–10-0.0232%26 Jun
mirage6–130.0211%24 Jun
mirage13–30.0714%24 Jun
dust26–130.0124%14 Jun
anubis13–40.0816%14 Jun
inferno7–13-0.0218%14 Jun
ancient13–110.0620%14 Jun
dust28–13-0.0531%14 Jun
dust26–00.0243%14 Jun
dust212–120.0529%13 Jun
nuke11–130.0226%13 Jun
anubis13–80.0819%13 Jun
ancient3–130.0627%13 Jun
dust213–11-0.0025%13 Jun
inferno13–70.0522%27 May
dust29–13-0.0320%23 May
mirage13–110.0513%23 May
ancient13–80.0220%23 May
dust215–150.0221%17 May
dust213–70.0412%17 May
nuke13–10.0223%17 May
dust22–130.0230%4 May
dust212–120.0117%4 May
nuke13–100.0613%3 May
dust213–40.0220%1 May
dust210–130.0020%30 Apr
cache7–130.0516%30 Apr
mirage16–12-0.0214%27 Apr
inferno13–80.0613%27 Apr
anubis10–13-0.0228%26 Apr
mirage11–13-0.0213%26 Apr
dust213–50.0322%26 Apr
mirage13–10-0.0020%26 Apr
dust213–60.1218%26 Apr
ancient13–60.0416%26 Apr
nuke13–80.0318%26 Apr
inferno13–10-0.0018%25 Apr
dust210–130.0028%25 Apr
mirage9–13-0.0323%25 Apr
mirage13–30.1026%25 Apr
mirage4–13-0.0317%25 Apr
dust213–30.0618%25 Apr
nuke15–150.0318%25 Apr
inferno13–160.0712%25 Apr

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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