Escuridao2K — CS2 Stats

76561198029074888[U:1:68809160]

583Tracked matches52%Win rate2020Tracked since
CSDB Rating5.8 SolidAggressive Rifler
FaceitLevel 7 · 1,416 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GGEscuridao2KFACEITLevel 7 · 1,416 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning58
Utility51

0–100 skill scores via Leetify.

Recent form

COLD53434Last 10053%Win rateWLLLLWLWLT

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

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

Aim7.5
Aggression9.6
Utility5.1
Positioning5.8
Opening Duels5.5
Clutch3.4

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

device

Plays most like device 89% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 658ms 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

Aim7.5
Positioning5.8
Utility5.1
Mechanics7.9
Opening Duels5.5
Win Impact5.6

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time666ms+25ms
first ⅓ avg 641ms → last ⅓ avg 666ms
Headshot accuracy25.5%+4.6%
first ⅓ avg 20.9% → last ⅓ avg 25.5%

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

0.15Best rating — ancient 13–5
130Biggest win — dust2
8Longest win streak
128In matches decided by ≤2 rounds
17Overtime games

Map breakdown

dust2Best map · 67% over 21infernoWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
mirageC27121544%0.01
dust2S2114767%0.02
nukeA1610663%0.04
infernoC146843%0.01
overpassA106460%0.02
ancientC73443%0.04
train31233%-0.02
anubis21150%0.03

Across the last 100 tracked matches.

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

Faceit stats

Combat

352Matches
51%Win rate
1.15Avg K/D
82.2ADR
47%Headshot %

Clutches & streaks

37%1v1 clutch win
14%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5951%1.2419.0
Inferno3037%1.1616.4
Ancient2662%1.2117.1
Vertigo2654%1.4420.1
Dust22152%1.0916.5
Nuke1958%1.2117.4
Anubis1753%1.0516.6
Overpass1030%0.7914.2

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.

25.9%Headshot accuracy
36.9%Accuracy (enemy spotted)
32.1%Spray accuracy
85.7%Counter-strafing
10.4°Preaim
658msReaction time
48.3%T opening success
56.0%CT opening success
0.60Enemies flashed / flash
4.6%Flash assists
6.01HE damage / grenade
9.53Flashes / 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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage14–12-0.0332%11 Jul
dust29–13-0.0511%11 Jul
inferno5–130.0121%17 Jun
mirage7–13-0.0325%15 Jun
mirage17–190.0123%10 Jun
ancient16–140.0131%9 Jun
mirage16–190.0422%22 Apr
ancient13–60.0633%21 Apr
mirage10–130.0342%13 Mar
inferno12–120.0925%25 Feb
anubis6–13-0.0145%25 Feb
nuke10–130.0730%25 Feb
mirage13–90.1039%23 Feb
nuke9–70.1524%22 Feb
dust222–200.0831%19 Jan
ancient13–50.1515%6 Jan
dust213–8-0.0022%6 Jan
dust213–11-0.0034%4 Jan
inferno9–13-0.0220%4 Jan
ancient10–13-0.0320%3 Jan
dust23–13-0.0515%3 Jan
inferno13–9-0.0226%3 Jan
nuke4–130.0030%3 Jan
train13–110.0220%30 Dec
inferno13–30.0725%30 Dec
nuke11–13-0.0710%28 Dec
overpass13–90.0429%28 Dec
nuke16–140.0323%28 Dec
nuke12–16-0.0220%23 Nov
overpass13–80.0222%23 Nov
dust213–100.0734%23 Nov
mirage13–100.0423%23 Nov
nuke13–60.1418%23 Nov
dust213–70.0632%23 Nov
nuke13–40.0125%8 Sept
overpass13–7-0.0327%8 Sept
dust213–10-0.0423%8 Sept
mirage4–13-0.0614%13 Aug
overpass10–130.0637%13 Aug
ancient8–130.0623%13 Aug
inferno6–13-0.0313%13 Aug
mirage5–13-0.0329%13 Aug
inferno15–150.0417%10 Aug
dust28–13-0.0015%10 Aug
overpass10–130.0223%9 Aug
nuke12–160.0031%9 Aug
overpass13–6-0.0216%9 Aug
nuke13–30.0628%9 Aug
dust213–4-0.0512%9 Aug
nuke14–16-0.0119%6 Aug
dust213–40.0413%6 Aug
nuke13–30.1533%6 Aug
dust214–160.0820%4 Aug
ancient3–130.0122%4 Aug
dust213–110.0728%4 Aug
mirage13–110.0229%4 Aug
overpass5–130.0112%4 Aug
overpass10–13-0.0218%4 Aug
dust26–13-0.1121%28 Jul
overpass13–70.0317%28 Jul
nuke13–80.1232%28 Jul
mirage6–130.0216%27 Jul
overpass13–110.0423%27 Jul
mirage6–13-0.0319%27 Jul
mirage5–13-0.0421%27 Jul
train5–13-0.0130%27 Jul
mirage13–60.1126%27 Jul
mirage10–130.0025%24 Jul
dust212–20.0713%24 Jul
mirage9–13-0.0013%22 Jul
dust213–80.0730%22 Jul
nuke16–130.0423%21 Jul
inferno2–13-0.0216%21 Jul
dust215–15-0.0122%21 Jul
mirage15–150.0023%21 Jul
mirage9–13-0.0716%1 Jun
ancient11–130.0123%30 May
train11–13-0.0512%20 Apr
inferno14–160.0520%7 Apr
inferno7–13-0.0524%6 Apr
nuke13–7-0.0523%6 Apr
inferno13–10-0.0427%5 Apr
mirage13–70.0325%5 Apr
mirage13–30.0017%5 Apr
mirage10–130.0225%3 Apr
dust213–70.0327%3 Apr
mirage13–70.0129%3 Apr
inferno13–70.0525%3 Apr
inferno6–30.0810%1 Apr
mirage13–90.0230%1 Apr
dust213–70.0627%1 Apr
mirage13–16-0.047%1 Apr
mirage13–20.0327%1 Apr
dust213–00.0315%31 Mar
anubis13–70.0719%28 Mar
mirage22–19-0.0324%11 Mar
nuke13–110.0221%6 Mar
inferno13–6-0.0321%4 Mar
dust211–13-0.0114%24 Feb
mirage13–110.0721%24 Feb

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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