VALDEZZZZ

VALDEZZZZ — CS2 Stats

DK76561198031183722[U:1:70917994]Steam profile ↗✓ No bans

1,068Tracked matches38%Win rate2021Tracked since
CSDB Rating3.9 Learning
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGVALDEZZZZFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim52
Positioning50
Utility53

0–100 skill scores via Leetify.

Recent form

COLD47485Last 10047%Win rateLLLLLLLWLL

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

Player DNA

Aim5.2
Aggression4.2
Utility5.3
Positioning5.0
Opening Duels0.0

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

NiKo

Plays most like NiKo 79% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 567ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.2
Positioning5.0
Utility5.3
Mechanics2.7
Opening Duels0.2
Win Impact1.0

Composite 3.9/10 (Learning), 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 rating-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time574ms+14ms
first ⅓ avg 560ms → last ⅓ avg 574ms
Headshot accuracy13.2%−2.9%
first ⅓ avg 16.1% → last ⅓ avg 13.2%

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

0.12Best rating — anubis 9–13
131Biggest win — train
6Longest win streak
L7Current streak
56In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 71% over 7infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
ancientB29151452%-0.00
dust2B168850%-0.00
anubisD1551033%0.01
nukeB147750%0.00
infernoD72529%-0.04
mirageS75271%-0.01
overpass42250%-0.00
vertigo41325%-0.03
train32167%-0.01
cache1010%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

190Matches
54%Win rate
1.41Avg K/D
ADR
33%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLW

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.

13.2%Headshot accuracy
36.5%Accuracy (enemy spotted)
38.9%Spray accuracy
62.2%Counter-strafing
11.1°Preaim
567msReaction time
31.8%T opening success
27.3%CT opening success
0.71Enemies flashed / flash
5.1%Flash assists
10.87HE damage / grenade
6.31Flashes / 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 13.163% — below the 15% mark we flag

    Aim Training
  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 31.8154% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust23–13-0.0116%27 Aug
ancient5–120.0621%26 Aug
dust212–16-0.0612%22 Aug
anubis10–13-0.033%19 Aug
dust211–13-0.0315%14 Aug
cache3–130.0716%29 Apr
anubis7–13-0.0319%16 Apr
inferno13–50.0616%12 Apr
anubis9–130.1211%7 Apr
ancient13–16-0.0411%4 Apr
overpass13–110.0123%2 Apr
anubis13–3-0.0117%1 Apr
dust26–13-0.0621%1 Apr
nuke1–13-0.106%31 Mar
overpass15–150.0212%25 Mar
overpass9–13-0.059%22 Mar
anubis13–100.0817%21 Mar
ancient13–8-0.048%20 Mar
ancient8–130.0420%19 Mar
anubis1–9-0.0525%19 Mar
ancient16–130.027%18 Mar
anubis9–13-0.0710%15 Mar
ancient13–11-0.0213%13 Mar
mirage4–13-0.066%13 Mar
nuke13–30.0415%13 Mar
inferno7–13-0.0513%7 Feb
mirage6–00.0720%7 Feb
dust213–50.0611%5 Feb
dust25–2-0.0214%25 Dec
vertigo0–13-0.080%21 Dec
dust210–3-0.0218%17 Dec
nuke10–130.025%16 Dec
dust216–130.019%14 Dec
dust213–7-0.0118%12 Dec
nuke13–10-0.019%11 Dec
dust213–90.0718%9 Sept
dust213–40.0210%8 Sept
inferno11–13-0.0210%8 Sept
mirage13–7-0.0213%7 Sept
inferno2–9-0.129%7 Sept
dust21–13-0.0411%7 Aug
mirage13–11-0.0224%6 Aug
dust210–130.0214%2 Aug
inferno2–13-0.038%2 Aug
overpass13–80.0116%31 Jul
ancient13–60.0918%31 Jul
nuke13–100.0422%31 Jul
dust213–110.0117%28 Jul
ancient13–50.0521%27 Jul
mirage13–20.0410%16 Jul
nuke10–130.0413%10 Jul
vertigo13–7-0.0119%10 Jul
ancient7–13-0.0116%1 Jul
ancient9–13-0.0317%1 Jul
ancient5–13-0.1116%30 Jun
anubis13–60.0814%30 Jun
ancient11–130.0116%29 Jun
anubis13–20.093%25 Jun
nuke4–13-0.034%14 Jun
anubis10–13-0.0214%12 Jun
ancient13–50.029%5 Jun
vertigo5–13-0.0310%18 May
ancient13–30.0119%16 May
ancient13–4-0.0212%22 Apr
ancient10–13-0.0319%5 Apr
ancient13–7-0.099%4 Apr
ancient10–13-0.058%30 Mar
anubis15–15-0.0414%29 Mar
nuke13–3-0.043%26 Mar
inferno13–10-0.0313%23 Mar
ancient8–130.0317%22 Mar
ancient13–70.0811%21 Mar
nuke13–50.0618%17 Mar
anubis5–13-0.0426%16 Mar
nuke13–110.0219%10 Mar
ancient0–5-0.070%4 Mar
vertigo12–120.0112%2 Mar
train11–13-0.0518%23 Feb
ancient13–60.036%22 Feb
mirage13–9-0.0319%21 Feb
ancient13–60.018%20 Feb
nuke14–160.0419%19 Feb
anubis10–13-0.0125%16 Feb
ancient15–150.0216%15 Feb
ancient2–13-0.0523%15 Feb
train4–0-0.000%15 Feb
anubis13–50.059%15 Feb
nuke13–10-0.0219%15 Feb
anubis4–13-0.0319%15 Feb
mirage15–15-0.0312%14 Feb
ancient6–13-0.0318%13 Feb
dust211–13-0.0119%13 Feb
dust25–13-0.0127%11 Feb
nuke12–160.0133%9 Feb
ancient13–3-0.0125%9 Feb
ancient13–2-0.0116%30 Jan
nuke4–13-0.0611%30 Jan
train13–10.0314%29 Jan
ancient13–10.0831%29 Jan
inferno8–13-0.1113%25 Jan

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 →