-suicida- — CS2 Stats

76561199487719466[U:1:1527453738]

1,588Tracked matches52%Win rate2023Tracked since
CSDB Rating6.1 SolidClutch Specialist
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG-suicida-FACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning59
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY46459Last 10046%Win rateLLWWTLWWLW

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

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim6.6
Aggression8.4
Utility6.3
Positioning5.9
Opening Duels3.4
Clutch10.0

Effective flashesReliable in 1v1s

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

jL

Plays most like jL 91% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Strengths

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

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

Aim6.6
Positioning5.9
Utility6.3
Mechanics7.1
Opening Duels3.4
Win Impact5.6

Composite 6.1/10 (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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time593ms−41ms
first ⅓ avg 634ms → last ⅓ avg 593ms
Headshot accuracy26.1%+1.8%
first ⅓ avg 24.3% → last ⅓ avg 26.1%

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

0.18Best rating — dust2 13–7
133Biggest win — inferno
5Longest win streak
L2Current streak
57In matches decided by ≤2 rounds
2Overtime games

Map breakdown

overpassBest map · 71% over 7mirageWeakest map · 32% over 31
MapGradePlayedRecordWin rateAvg rating
mirageD31102132%0.03
dust2A26151158%0.01
infernoB23121152%0.02
overpassS75271%0.01
anubis41325%-0.01
ancient31233%0.02
nuke31233%0.02
train1010%-0.07
vertigo1010%-0.02
grail110100%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 31). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

225Matches
57%Win rate
1.33Avg K/D
76.3ADR
47%Headshot %

Clutches & streaks

100%1v1 clutch win
33%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1242%1.2415.3
Inferno1070%1.4619.1
Nuke560%0.8916.6
Ancient560%1.1913.8
Overpass560%1.2611.4
Vertigo333%0.6210.7
Anubis2100%0.9411.5

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.

24.9%Headshot accuracy
28.2%Accuracy (enemy spotted)
23.7%Spray accuracy
82.0%Counter-strafing
7.7°Preaim
597msReaction time
41.2%T opening success
46.2%CT opening success
0.80Enemies flashed / flash
7.3%Flash assists
10.39HE damage / grenade
7.60Flashes / match

Recommended for you

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

32% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage9–130.0532%17 Jul
mirage5–13-0.0213%15 Jul
dust213–8-0.0119%15 Jul
inferno13–80.0321%14 Jul
mirage12–120.0528%28 Apr
ancient4–130.0436%28 Apr
mirage13–60.1531%27 Apr
dust213–5-0.0610%19 Apr
dust24–13-0.0230%19 Apr
mirage13–5-0.0016%19 Apr
inferno14–16-0.0218%19 Apr
mirage13–90.1336%19 Apr
inferno8–130.0130%26 Mar
dust213–80.0527%26 Mar
mirage9–13-0.0128%25 Mar
mirage6–10.1240%25 Mar
dust213–90.0839%25 Mar
inferno3–13-0.0131%24 Mar
mirage7–13-0.0323%24 Mar
dust211–130.0034%24 Mar
overpass13–11-0.0118%24 Mar
inferno13–40.0520%24 Mar
anubis13–70.0119%24 Mar
dust211–130.0017%29 Jan
mirage7–130.0921%29 Jan
dust210–130.0824%29 Jan
inferno13–4-0.0132%29 Jan
mirage11–130.0827%28 Jan
dust213–100.0621%28 Jan
overpass13–90.0419%5 Dec
ancient13–9-0.0141%5 Dec
inferno13–110.0328%12 Oct
mirage11–130.1232%12 Oct
dust212–12-0.0327%12 Oct
mirage2–130.0633%8 Oct
inferno6–130.1024%1 Oct
dust213–90.0020%1 Oct
mirage13–70.0223%1 Oct
overpass13–11-0.0031%30 Sept
dust213–40.0432%30 Sept
overpass13–80.0228%30 Sept
nuke6–13-0.0432%30 Sept
ancient12–160.0254%29 Sept
mirage2–3-0.0533%29 Sept
inferno13–80.0030%29 Sept
dust213–10-0.0121%29 Sept
dust23–13-0.0930%28 Sept
mirage5–13-0.0521%28 Sept
mirage10–130.0125%28 Sept
inferno12–12-0.0124%28 Sept
mirage10–130.0249%28 Sept
inferno9–130.0334%14 Sept
overpass6–130.0741%12 Sept
dust212–120.0326%12 Sept
mirage13–70.0224%7 Sept
overpass13–8-0.0315%2 Sept
inferno10–130.0017%1 Sept
mirage13–100.0432%1 Sept
overpass10–13-0.0513%16 Jul
dust210–130.0126%8 Jul
mirage7–130.0121%30 Jun
dust25–13-0.0122%30 Jun
anubis6–13-0.0229%17 Jun
mirage12–120.0519%17 Jun
inferno13–70.0622%16 Jun
inferno13–110.0125%12 Jun
dust213–90.0529%12 Jun
mirage8–13-0.0315%12 Jun
mirage12–120.0328%11 Jun
train1–13-0.0723%9 Jun
inferno0–4-0.0720%9 Jun
nuke10–130.0414%9 Jun
inferno10–130.0323%9 Jun
inferno13–7-0.0316%9 Jun
dust213–50.0416%9 Jun
anubis10–130.0223%9 Jun
mirage13–40.0727%9 Jun
dust213–70.1833%9 Jun
inferno10–130.0230%7 Jun
inferno13–8-0.0517%2 Jun
nuke13–50.0540%2 Jun
dust213–9-0.0410%2 Jun
vertigo12–12-0.0224%2 Jun
dust213–7-0.0515%2 Jun
anubis8–13-0.0518%2 Jun
inferno13–100.0318%2 Jun
mirage12–120.0128%2 Jun
mirage13–50.0424%2 Jun
dust213–8-0.0029%27 May
mirage11–130.0423%26 May
inferno9–13-0.0120%26 May
dust27–130.0322%26 May
mirage11–130.0330%17 May
mirage12–120.0536%17 May
dust26–13-0.0422%17 May
grail13–9-0.0316%13 May
mirage3–13-0.0236%13 May
inferno13–30.0725%12 May
dust213–3-0.0044%12 May
inferno13–40.1638%12 May

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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