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cнιƖƖмσɗє Diaz^

cнιƖƖмσɗє Diaz^ — CS2 Stats

76561198000868964[U:1:40603236]Steam profile ↗✓ No bans

621Tracked matches33%Win rate2020Tracked since
CSDB Rating3.3 Learning
Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)
CSDB Leaderboard#11434 of 15579 tracked
Ladder ranks via Leetify

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CSDB.GGcнιƖƖмσɗє Diaz^PREMIER10,000 · Blue bandcsdb.gg/stats

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Performance scores

Aim40
Positioning37
Utility39

0–100 skill scores via Leetify.

Recent form

COLD44–51–5Last 10044%Win rateWLLLWLLLLL

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Aim4.0
Aggression3.3
Utility3.9
Positioning3.7
Opening Duels0.1
Clutch1.8

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 73% playstyle similarity

Most alike: opening-fight frequency, 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

T-side openings. Opening success drops from 39% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 648ms 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

Aim4.0
Positioning3.7
Utility3.9
Mechanics5.3
Opening Duels1.1
Win Impact0.0

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time664ms−8ms
first ⅓ avg 671ms → last ⅓ avg 664ms
Headshot accuracy12.9%+1.1%
first ⅓ avg 11.8% → last ⅓ avg 12.9%

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 — dust2 13–0
13–0Biggest win — dust2
5Longest win streak
8–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 67% over 6nukeWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA2112–957%-0.02
infernoA2113–862%-0.04
dust2C197–1237%-0.03
cacheD195–1426%-0.04
anubisD62–433%-0.03
ancientS64–267%-0.04
nukeD50–50%-0.02
vertigo—31–233%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

19Matches
42%Win rate
0.85Avg K/D
68.2ADR
35%Headshot %

Clutches & streaks

29%1v1 clutch win
8%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke617%0.7312.5
Mirage650%1.0515.3
Dust22100%1.0414.5
Cache250%0.7013.0
Anubis10%0.356.0
Ancient10%0.7616.0
Vertigo1100%0.9415.0

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.

13.0%Headshot accuracy
29.8%Accuracy (enemy spotted)
31.2%Spray accuracy
73.7%Counter-strafing
10.0°Preaim
648msReaction time
21.9%T opening success
39.0%CT opening success
0.36Enemies flashed / flash
3.8%Flash assists
5.08HE damage / grenade
7.72Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.9941% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3583 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 21.8605% — below the 40% mark we flag

Spend your practice time on Nuke

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.0421%16 Aug →
dust29–13-0.0611%11 Aug →
mirage14–16-0.036%11 Aug →
nuke11–13-0.0419%8 Aug →
vertigo13–11-0.0015%8 Aug →
anubis4–13-0.0616%8 Aug →
mirage11–13-0.024%7 Aug →
dust26–13-0.0524%5 Aug →
inferno10–13-0.0615%5 Aug →
cache10–130.0120%5 Aug →
mirage14–16-0.0010%3 Aug →
inferno7–13-0.083%1 Aug →
anubis7–13-0.103%29 Jul →
dust213–4-0.074%29 Jul →
inferno13–4-0.0517%29 Jul →
dust211–13-0.036%29 Jul →
dust215–15-0.0219%22 Jul →
mirage15–15-0.0316%22 Jul →
dust210–13-0.0211%21 Jul →
inferno13–80.0214%21 Jul →
inferno5–13-0.0518%20 Jul →
mirage13–11-0.0210%20 Jul →
mirage6–130.0319%15 Jul →
cache13–50.0517%15 Jul →
anubis13–8-0.0310%15 Jul →
nuke6–13-0.0715%15 Jul →
mirage13–16-0.105%14 Jul →
nuke15–15-0.0326%14 Jul →
ancient7–13-0.073%14 Jul →
mirage16–12-0.0513%13 Jul →
mirage13–6-0.0713%13 Jul →
cache8–13-0.0911%13 Jul →
ancient7–13-0.0213%12 Jul →
dust29–13-0.0824%12 Jul →
inferno13–6-0.0517%12 Jul →
dust210–13-0.047%12 Jul →
dust213–70.0018%12 Jul →
ancient16–130.0211%11 Jul →
dust213–50.0119%11 Jul →
dust213–00.154%11 Jul →
inferno7–13-0.0723%11 Jul →
inferno16–14-0.0518%7 Jul →
mirage13–9-0.0221%7 Jul →
mirage13–7-0.0026%7 Jul →
dust29–13-0.0819%4 Jul →
mirage13–90.0010%4 Jul →
mirage13–11-0.0220%4 Jul →
ancient13–2-0.0520%4 Jul →
dust213–11-0.0817%4 Jul →
cache5–1-0.0523%3 Jul →
inferno3–13-0.043%3 Jul →
anubis3–13-0.117%3 Jul →
nuke3–13-0.0022%3 Jul →
mirage13–3-0.0118%3 Jul →
ancient13–7-0.058%3 Jul →
dust213–6-0.018%2 Jul →
mirage13–70.0511%2 Jul →
dust29–13-0.069%2 Jul →
dust213–10.0520%30 Jun →
inferno13–5-0.0537%30 Jun →
inferno13–8-0.0921%29 Jun →
mirage13–9-0.0223%26 Jun →
vertigo10–13-0.0521%26 Jun →
inferno13–11-0.0321%23 Jun →
inferno13–5-0.0412%23 Jun →
mirage10–13-0.0715%22 Jun →
mirage10–13-0.058%22 Jun →
cache9–13-0.0711%21 Jun →
mirage14–16-0.0327%21 Jun →
ancient13–10-0.0410%14 Jun →
anubis9–130.0613%12 Jun →
nuke11–130.0325%10 Jun →
inferno12–60.0813%10 Jun →
cache6–130.0714%10 Jun →
inferno10–130.016%9 Jun →
inferno6–13-0.0812%7 Jun →
dust212–12-0.128%7 Jun →
inferno13–7-0.017%29 May →
dust21–13-0.046%28 May →
inferno13–9-0.059%28 May →
cache2–13-0.054%26 May →
cache8–13-0.085%25 May →
cache13–40.0611%25 May →
cache7–13-0.103%24 May →
vertigo11–13-0.0911%23 May →
inferno4–0-0.000%22 May →
cache13–8-0.0514%21 May →
cache13–7-0.0713%20 May →
cache11–13-0.046%19 May →
cache5–13-0.0514%18 May →
dust25–13-0.1010%18 May →
cache7–13-0.0111%17 May →
cache1–12-0.0421%17 May →
inferno13–7-0.045%13 May →
cache9–13-0.0314%11 May →
mirage13–10-0.0223%9 May →
anubis6–40.0424%9 May →
inferno10–13-0.1219%9 May →
cache12–12-0.046%9 May →
cache7–13-0.1414%6 May →

Match data via Leetify.

Recent teammates

Milestones

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

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